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          <td width="396" valign="middle" bgcolor="#829db6"><font size="1" face="Arial, Helvetica, sans-serif"><strong> 
            <font color="#FFFFFF" size="4">&nbsp;&nbsp;&nbsp;Sahel Workshop Final 
            Report </font></strong></font></td>
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          <td width="800" height="1493" bgcolor="#829db6"> <blockquote> 
              <p align="justify"><font face="Arial, Helvetica, sans-serif"><strong><a href="sahel_bkgd.html">&lt;back&gt;</a></strong></font></p>
              <p align="center"><font color="#FFFFFF" size="4" face="Arial, Helvetica, sans-serif"><strong>Final 
                Report<br>
                UNEP/FAO/UNCCD<br>
                Workshop on changes in the Sahel<br>
                Nairobi<br>
                14-16 October 2003</strong></font></p>
              <p align="center"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>SUMMARY</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">For 
                the last four decades there has been sustained scientific interest 
                in contemporary environmental change in the Sahel. It suffered 
                several devastating droughts and famines between the late 1960s 
                and early 1990s. Speculation about the climatology of these droughts 
                is unresolved, as is speculation about the effects of land clearance 
                on rainfall and about land degradation in this zone. However, 
                recent findings suggest a consistent trend of increasing vegetation 
                &#8220;greenness&#8221; in much of the region. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Time 
                series data from satellite have been analyzed for the African 
                Sahel to study recent trends in vegetation greenness. A strong 
                increase in seasonal greenness was observed over large areas of 
                the Sahel during the period 1982-1999. Preliminary studies indicate 
                a continuation of the trend through 2003. Analyses of rainfall 
                data indicate increasing rainfall during the same period. However, 
                the greening trend cannot be explained solely by rainfall. While 
                extensive, the greening is not uniform, suggesting that factors 
                other than rainfall may be contributing to greening of some areas 
                and not others. In addition, the resolution of the satellite data 
                set is coarse (8 km). So, the pattern of greening that might help 
                explain its causes may be partly obscured by the resolution of 
                the data.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">&#8220;Recovery&#8221; 
                is not a helpful term. It means a return to conditions that existed 
                at some assumed equilibrium point in the past. When an equilibrium 
                system is disturbed, its tendency is to seek equilibrium. In the 
                case of the ecology of the Sahel, disturbances might be drought 
                or, in the case of livestock, it might be pressure from grazing 
                animals. When that pressure is removed (i.e., the rains return 
                or the animals move elsewhere), the system returns to equilibrium. 
                This implies that during the period of disturbance, vegetation 
                cover is reduced and some species may decline, others increase, 
                and still others may invade. Recovery, in this sense, would be 
                a return to initial species composition and cover. However, there 
                are other models of non-equilibrium that argue that, rather than 
                a single equilibrium point, there may be multiple equilibrium 
                points. Thus, in our simple example, the state at which the original 
                array of species and cover has been reduced and invaders increased 
                may represent a new equilibrium point because the relationship 
                among species or nature of the soil has changed because of erosion. 
                Yet, it may have a &#8220;greenness&#8221; value that is similar 
                to the original state because overall plant cover may be the same 
                although species composition has changed.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Human 
                livelihood systems might be viewed to operate in a similar manner. 
                Using a similar equilibrium model, a given household or community 
                might enjoy some level of income (agricultural production) and 
                command a set of resources (e.g., livestock; farm implements) 
                in their livelihood system at some point in the past. When this 
                livelihood system is disturbed (e.g., drought) there appear to 
                be two types of trajectories that households might follow. In 
                the common degradation model, households must draw down their 
                resources (i.e., sell their livestock and farm implements), seek 
                employment, or migrate. In the equilibrium model, it is assumed 
                that when rains return, opportunities for agricultural production 
                improve and households then may &#8220;recover.&#8221; However, 
                because they have a much-diminished productive capacity at this 
                new equilibrium point, it is extremely difficult for them to move 
                to a new, higher equilibrium point, even if rains remain good. 
                </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">An 
                alternative adaptation model has emerged to counter the degradation 
                model. Limited ground studies have shown that some farmers and 
                communities have adapted to the changes during the droughts experienced 
                in the Sahel and improved management of water and soil fertility 
                that increase production. As these change increase returns, farmers 
                invest in more inputs, livestock, and crop diversification. This 
                suggests that they are moving toward a more positive equilibrium 
                point than in the degradation trajectory. While promising in that 
                it shows that success can be achieved with and without outside 
                intervention, these success stories serve a broader purpose by 
                suggesting model strategies that might be pursued. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Altogether, 
                these findings suggest continued caution in interpreting the greening 
                phenomenon, particularly with respect to how it might influence 
                policy and any actions that might be taken in the near future. 
                While it may be true that climatic conditions have improved, it 
                is not possible to predict how long this may continue. It is certain, 
                though, that drought will return and that policy should be flexible 
                enough to accommodate that certainty and the non-equilibrium conditions 
                that accompany it.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">As 
                suggested above, there are other positive developments that come 
                from long term environmental and agricultural studies in the region 
                that can provide a new narrative to guide efforts to stabilize 
                and improve agriculture and natural resource management in the 
                region.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Several 
                studies on long-term environmental and agricultural change in 
                the Sahel (in Niger, Nigeria, Burkina Faso and Senegal). These 
                studies have found evidence of significant transitions from degradational 
                land use trajectories to more sustainable and productive production 
                systems. These include increases in cereal yields, higher densities 
                of trees, improved soil fertility management, locally higher groundwater 
                tables, reductions in rural poverty, and decreased outmigration. 
                These changes coincided with growth in rural populations and introduction 
                of structural adjustment policies. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">While 
                limited in their extent, it is likely that more such &#8216;success 
                stories&#8217; will be found in the Sahel, which collectively 
                challenge the narrative of Sahelian degradation which has informed 
                policy for the last few decades. These success stories could provide 
                the basis for a new narrative that is based on the ability of 
                farmers and livestock producers to manage their livelihoods under 
                non-equilibrium conditions of variable rainfall, finite land resources 
                and low bioproductivity. The biophysical and management changes 
                that have been identified suggest that they are less the helpless 
                victims of environmental change than agents who try to make the 
                best use of productive and investment opportunities. </font></p>
              <p align="justify">&nbsp;</p>
              <p align="center"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>RECOMMENDATIONS</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>1. 
                Confirmation and exploration of greening </strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Initiate 
                further interrogation of the data used to detect the greening 
                trend. This would include: </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">&#8226; 
                updating the time series, <br>
                &#8226; quality assessment and correction, <br>
                &#8226; further analysis of patterns at varying spatial and temporal 
                scales,<br>
                &#8226; derivation of biophysical information</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>2. 
                Assessment of recovery</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Initiate 
                validation campaign comparable to those associated with other 
                remote sensing observations (e.g., TRMM) to establish systematically 
                (a) what greenness means on the ground, (b) how changes relate 
                to human well-being and environment.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">&#8226; 
                Identification of areas of change, <br>
                &#8226; Select sample study sites from larger area,<br>
                &#8226; Characterize samples,<br>
                &#8226; Establish degrees of change,<br>
                &#8226; Establish causative factors for observed changes. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>3. 
                Assessment of apparent anomalies</strong><br>
                <br>
                While there is evidence that the conditions for farmers and livestock 
                producers have declined in terms of production and soil fertility, 
                other ground studies have documented success stories of farmers 
                and livestock producers who have adapted successfully to conditions 
                in the Sahel. These should serve as lessons that could guide future 
                policy and intervention strategies that might lead to a more positive 
                perspective on options for renewing agriculture in the Sahel. 
                This would be achieved through a studied that was focused on: 
                </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">&#8226; 
                The policy lessons drawn from the existing studies should be applied 
                to other areas and scaled up to macro-policy level. <br>
                &#8226; More policy-relevant studies should be undertaken on &#8216;success 
                stories&#8217; of agricultural and natural resource management 
                in order to draw lessons from a wider range of environments, and 
                to identify constraints to upscaling.<br>
                &#8226; These studies could be linked to a review of land rehabilitation 
                activities across the Sahel (approaches, technologies, impact, 
                upscaling potential).</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Ultimately, 
                this should lead to policies which:</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">&#8226; 
                Through appropriate policy instruments, incentives should be provided 
                for innovation and investment in natural resource management (for 
                example, ensuring security in land and tree tenure, information 
                diffusion).<br>
                &#8226; Provide the widest possible range of technical and livelihood 
                options for rural families.<br>
                &#8226; Promote the use of institutional channels (existing or 
                adapted) for locally based management of natural resources, especially 
                common pool resources.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>4. 
                Data continuity and exploitation</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Data 
                will continue to be a critical issue, in terms of availability 
                and access (i.e., price), but is essential for monitoring and 
                assessment. To continue and enhance the flow of data:</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">&#8226; 
                Encourage national and regional climate data sharing with partners<br>
                &#8226; Invest in data mining of historical and systematic gathering 
                of socio-economic data to provide multi-scale picture of interactions 
                between climate and changes<br>
                &#8226; Strengthen climate observation network</font></p>
              <p align="justify"></p>
              <p align="center"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><br>
                <br>
                <font size="4"><strong>Final Report<br>
                UNEP/FAO/UNCCD<br>
                Workshop on changes in the Sahel<br>
                Nairobi<br>
                14-16 October 2003</strong></font></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><br>
                <strong>1.0 Background</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">The 
                Sahel region of Africa is a dynamic ecosystem that responds to 
                climatic variability and human exploitation of biospheric resources. 
                Over the long-term, changes in rainfall may have resulted in changes 
                in land use patterns. While there has been a tendency to refer 
                to the desertification of the Sahel, results from analysis of 
                different types of satellite and ground data have not resulted 
                in consensus on the direction of changes.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Since 
                the early 1980s satellite mapping of the global land biosphere 
                has generated long time-series measurement of vegetation that 
                can be used as a proxy for understating the dynamics of variability 
                of the Sahel. A number of studies using these and other data have 
                shown the close coupling between rainfall and primary production 
                in the Sahel. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Therefore, 
                United Nations Environment Programme (UNEP), the United Nations 
                Food and Agriculture Organization (FAO) and the Convention to 
                Combat Desertification (CCD) jointly organised a Changes in the 
                Sahel workshop, from 14 to 16 October 2003 in Nairobi, Kenya, 
                to bring together scientists (Attachment 1) who have conducted 
                significant studies in this region to synthesize results over 
                the last 20 years. </font></p>
              <p align="justify">&nbsp;</p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>2.0 
                Objectives</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">The 
                workshop is intended to produce a statement of the current state 
                of scientific knowledge of changes in the Sahel.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Specifically, 
                participants will:</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">&#8226; 
                Present results of their recent work addressing the current state 
                of processes in the Sahel;</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">&#8226; 
                Produce conclusions drawn from these results;</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">&#8226; 
                Based on these conclusions, provide recommendations of future 
                actions to the sponsoring organizations; </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">&#8226; 
                Prepare and present a summary of the workshop findings at the 
                conclusion of the workshop.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><br>
                <strong><br>
                3.0 Approach</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">As 
                reflected in the Workshop Agenda (Attachment 2), individual papers 
                were presented by the participants, followed by group discussions 
                of the presentations. From these presentations and ensuing discussions 
                conclusions were drawn and agreed upon by the group. Actions to 
                address these conclusions were then agreed upon and are presented 
                in the recommendations section of this report. Workshop results 
                were presented at the conclusion of the workshop.</font></p>
              <p align="justify">&nbsp;</p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>4.0 
                Results and Discussion</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>4.1 
                Evolving contexts of the desertification debate </strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">A 
                great many debates have grown up around the notion of desertification 
                as a process of degradation that affects the arid, semiarid and 
                subhumid zones of the globe. A fundamental and continuing debate 
                has been over whether desertification actually exists and, if 
                so, how it might be defined, measured and assessed. Rather than 
                simply review the evolution of these debates we examine the contexts 
                in which they take place and how those contexts have contributed 
                to the evolution of our understanding of the intertwined processes 
                that contribute to desertification. The fact that these &#8220;contexts&#8221; 
                have changed over time, and that some of these contexts are often 
                ignored have helped sustain debate. We consider four &#8220;contexts&#8221; 
                that frame much of the debate and consider what impact each has 
                had: (1) changes in our understanding of climate variability; 
                (2) changes in our understanding of vegetation responses to perturbation; 
                (3) changes in our understanding of social processes, including 
                household responses to economic perturbation; and (4) changes 
                in our understanding of desertification as a political process 
                or artifact. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>4.2 
                Policy implications of the Sahelian recovery </strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">The 
                Sahelian greening is one phase in a continuous sequence of wet 
                and dry periods. Here, we examine policies in the light of these 
                changes. We consider policies involved both in other greenings 
                and in the Sahel itself. Others include Sinai, southern Russia, 
                Arizona and the Loess Plateau in northern China. In Sinai, the 
                policies that brought about greening include exclusion, emigration 
                and nature conservation. In Russia, the policy that had impact 
                was the collapse of the Soviet collective farm system. In Arizona, 
                it came after the Taylor Grazing Act of 1934 which allowed the 
                US Forest Service to manage grazing. On the Loess Plateau, it 
                has been the result of irrigation, tree-planting, the extension 
                of responsibility of land users and perhaps aerial seeding and 
                fencing. Most of these policies are inapplicable to the Sahel, 
                with the possible exception of some of the Chinese measures. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">In 
                the Sahel, some policies in Burkina Faso, and elsewhere did enable 
                soil and water conservation projects, but the success of these 
                projects is more due to the harnessing of local skills. More generally, 
                policy has had little to do with the greening (as with the earlier 
                browning), even though the Sahel has been a seething cauldron 
                of policy debate for three decades. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Sahelian 
                environmental policies face two main challenges: fast and occasionally 
                extreme fluctuations in rainfall; and changes in the scientific 
                dialectic. There should be less emphasis on the negative policy 
                of controlling land degradation, and more on positive policies 
                that encourage adaptation and allow for rapid deployment to make 
                use of good years and insurance policies against bad ones.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>4.3 
                Greening of the Sahel </strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">For 
                the last four decades there has been sustained scientific interest 
                in contemporary environmental change in the Sahel. It suffered 
                several devastating droughts and famines between the late 1960s 
                and early 1990s. Speculation about the climatology of these droughts 
                is unresolved, as is speculation about the effects of land clearance 
                on rainfall and about land degradation in this zone. However, 
                recent findings suggest a consistent trend of increasing vegetation 
                greenness in much of the region. It is not possible to explain 
                the vegetation trend by rainfall only. There are other possible 
                causes of this trend such as land use change, migration and armed 
                conflicts. There are also policy implications of a positive trend 
                in biophysical conditions. One conclusion is that more site-specific 
                information on the interaction of biophysical dynamics (climate, 
                soils, vegetation) and farming systems (farming practices and 
                risk management strategies) is needed in order to better understand 
                and ultimately support the development challenge in the Sahel.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>4.4 
                The impact of soil and water conservation on agriculture and environment 
                on the northern part of the Central Plateau of Burkina Faso between 
                1980 and 2001 </strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">In 
                the beginning of the 1980s the situation on the northern part 
                of the densely populated Central Plateau was dramatic: drought 
                years succeeded each other, food shortages at household level 
                were endemic and the environment had become degraded. The commonly 
                held view is that the process of environmental degradation continued 
                in the second half of the 1980s as well as in the 1990s. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">A 
                study was recently undertaken by a multidisciplinary team of national 
                researchers, who looked at long-term changes in agriculture and 
                environment in this region. Most of their research findings show 
                positive trends. Cereal yields have increased by about 50% since 
                1984-88; in two of the three provinces studied the cultivated 
                area remained stable during the last 15 years; tree density and 
                species diversity are higher on fields treated with soil and water 
                conservation than on untreated fields; livestock numbers have 
                increased and livestock management is evolving from extensive 
                to semi-intensive and a survey in 59 villages shows that, according 
                to the villagers, local groundwater levels have improved substantially 
                since the start of soil and water conservation. Based on criteria 
                used by villagers, which are mainly related to levels of household 
                food security, rural poverty seems to have decreased significantly 
                (up to 50%) in villages with soil and water conservation. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Much 
                has been achieved, but much more remains to be done. It is urgent 
                to improve soil fertility on cultivated land and to fight against 
                land degradation on uncultivated land, which continues unabated. 
                </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>4.5 
                Twenty-three years of Sahelian vegetation dynamics from NOAA-AVHRR 
                </strong> </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Satellite 
                measurements of the global biosphere in the form of the normalized 
                difference vegetation index (NDVI) have generated a 23 year time 
                series appropriate for the studies seasonal to interannual vegetation 
                dynamics of the Sahel region. The close coupling between Sahelian 
                rainfall and the green-up of vegetation has made it possible to 
                utilize this vegetation index data set as a proxy for the land 
                surface response to climate variability. Examination of the this 
                time series principally reveals two major periods: (a) 1982-1993 
                marked by below average vegetation and persistence of drought 
                with a signature large scale drought during the 1983-1985 period; 
                and (2) 1994-2003, marked by a trend towards &#8220;greener&#8221; 
                conditions with region-wide above normal vegetation conditions 
                in 1994. Spatial patterns enable us to conclude that is not a 
                footprint of desertification, rather they indicated the variability 
                of green vegetation biomass over the region in response to interannual 
                variations in rainfall. Systematic studies of changes on the landscape 
                at local scales using high spatial resolution satellite data sets 
                such as those from LANDSAT, SPOT and MODIS will allow for an improved 
                documentation of degradation of Sahelian land resources that could 
                lead to desertification.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>4.6 
                Do farmers&#8217; long-term responses to economic and environmental 
                change support an hypothesis of Sahelian desertification? </strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">The 
                term &#8216;desertification&#8217; can be considered in terms 
                relevant to small farmers&#8217; practices and strategies, and 
                the expectations generated by an hypothesis of Sahelian desertification 
                reviewed. Long-term data sets (1960-2000) collected at the district 
                level in three Sahelian countries (Diourbel Region, Senegal; Maradi 
                Department, Niger; and the Kano region, northern Nigeria), together 
                with village-level field enquiries, conducted in 1999-2000, these 
                data were used to construct profiles of change in a range of relevant 
                variables. These profiles were then synthesized to obtain lessons 
                for policy, which was one of the principal drivers of farmers&#8217; 
                responses in each of the districts. A simple theory of &#8216;desertification&#8217; 
                is found inadequate for understanding the complexity, diversity 
                and flexibility of farmers&#8217; responses to change. While questions 
                of sustainability arise in relation some variables (e.g., fertility 
                management under cultivation), some sub-hypotheses of desertification 
                are found to be in need of re-thinking in relation to others (e.g., 
                tree management). Natural resource management as a whole cannot 
                be understood except in terms of livelihood strategies based on 
                diverse portfolios of on- and off-farm income sources, and interaction 
                between Sahelian and sub-humid or humid agro-ecological zones 
                and cities.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>4.7 
                UNCCD perspectives on the changes in the Sahel </strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">The 
                plight of the Sahel was brought into the international arena by 
                the reports of the debilitating drought of the early seventies 
                and its attendant massive loss of life and property. The international 
                community made attempts to address the issues of drought and desertification 
                by the establishment by UNCOD in 1977, but the resulting Plan 
                of Action fell short of expectation.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">The 
                UNCED process and the resultant Chapter 12 of Agenda 21 led to 
                further consideration, but there was still a need for a legally 
                binding instrument. The birth of the UNCCD, a Convention to address 
                the fight against drought and desertification the world over was 
                the vehicle. This was a call for paradigm shift, a different way 
                of dealing with the twin problems of drought and desertification.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">The 
                &#8220;United Nations Convention to Combat Desertification in 
                Those Countries Experiencing Drought and/or Desertification, Particularly 
                in Africa,&#8221; with its entry into force in December of 1996, 
                has 190 signatories to date. The thrust of the UNCCD is for concerted 
                local level action, but with international level support and partnership. 
                Its objective is: </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">&#8220;to 
                combat desertification and mitigate the effects of drought&#8230;..through 
                effective action at all levels, supported by international co-operation 
                and partnership arrangements, in the framework of an integrated 
                approach which is consistent with Agenda 21, with a view to contributing 
                to the achievement of sustainable development in affected areas.&#8221;</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">The 
                UNCCD recognizes that achieving this objective will involve long-term 
                integrated strategies that focus simultaneously, on improved productivity 
                of the land and the rehabilitation, conservation, and sustainable 
                management of land and water resources, leading to improved living 
                conditions, in particular at the community level.<br>
                The Sahel is a major entry point in understanding and eventually 
                addressing the complex problems of recurrent droughts and the 
                ever-present desertification and land degradation. The particular 
                attention given to Africa by the UNCCD includes the Sahel, as 
                testimony to the need to take concrete action in that region.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Various 
                interacting forces come into the picture, in influencing not only 
                natural processes, but also possible remedial measures. Traditional 
                knowledge and coping strategies of the affected peoples, early 
                warning systems, provide some of the tools required to address 
                the challenges that imposed by the often adverse climatic factors, 
                ecological factors, anthropogenic factors encountered in the region. 
                These are all important components to be taken into consideration 
                when looking at the &#8220;Changes in the Sahel&#8221;. The combined 
                action of these at local level, national level as well as appropriate 
                international interventions in one way or another hold the key. 
                </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>4.8 
                Monitoring vegetation growth and mapping changes in landscape: 
                Senegal case study </strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">A 
                lack of early warning system in the early 1970s prevented governments 
                and even researchers from having a good appreciation of the droughts 
                that occurred, in semi-arid zones, particularly in 1972.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Since 
                this period, developing tools to monitor vegetation growth and 
                to estimate available forage for cattle has been a major concern 
                for decision makers. The Centre de Suivi Ecologique (CSE) has 
                developed various products to address these needs. Decadal NDVI 
                information and annual biomass maps using NOAA/AVHRR and SPOT/Vegetation 
                data are some of the products successfully elaborated and regularly 
                published since 1987. More recently, some other indicators like 
                VCI and SPI have been successfully applied to drought monitoring 
                in Senegal. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">The 
                process has allowed CSE to set up a NOAA database of well-calibrated 
                images. These data have been used to look at the tendency of vegetation 
                growth at a national level. At a more localized level, several 
                studies based on satellite images and aerial photos from the 1960&#8217;s 
                until 2000 have been conducted to map changes in land use and 
                land cover. CSE is still continuing to work on these kinds of 
                studies with FAO, UNEP and GEF in the framework of the Land Degradation 
                Assessment (LADA) project. It is aiming to identify hot and bright 
                spots and to document their causes using mapping and census data. 
                <br>
                Early warning systems are now used in some Sahelian countries 
                on a more operational basis and can be expanded to all Sahelian 
                countries. Detection of changes in the Sahel landscape can be 
                done at large and localized scales (access to high resolution 
                data still needs to be improved). Generalization on very large 
                areas should be done carefully. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>4.9 
                Long-term precipitation variability in the Sahel </strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">The 
                Sahel has undergone tremendous fluctuations of rainfall throughout 
                historical times. Extreme and prolonged droughts are an inherent 
                feature of the environment. The fluctuations have been particularly 
                extreme during the last half of the 20th century. The mean rainfall 
                for 30-year periods, the traditional time period for a climatic 
                &#8220;normal&#8221;, decreased 25% to 40% in the Sahel between 
                1931 &#8211; 1960 and 1968 &#8211; 1997. the contrast is even 
                greater when the wettest and driest decades, the 1950s and 1980s, 
                are compared. During those decades, the entire continent was affected. 
                That clearly demonstrates that the main causes of rainfall variability 
                are to be found in the large-scale general atmospheric circulation. 
                These in turn are at least partially driven by sea-surface temperature 
                variability, however El Nino/La Nina does not play a large role.<br>
                Most of the change takes place in August. Wet/dry conditions in 
                the Sahel tend to be associated with a northward/southward displacement 
                of the rainbelt over West Africa. In some cases, however, the 
                reduction in rainfall is associated with an overall weakening 
                of the tropical rainbelt. There is little relationship between 
                the amount of rainfall during the season and length of the season 
                or its onset date. These facts have strong implications for both 
                adaptive strategies and predictability.<br>
                The persistent dry conditions prevailed from the late 1960s through 
                the mid-1990s. TRMM satellite data that was validated with a dense 
                gauge network showed that the region became markedly wetter in 
                1998. Relatively good rainfall continued through the next year. 
                As a whole rainfall of the last 6 years has been better than average, 
                but the &#8220;wet&#8221; conditions of the 1950s were not matched.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>4.10 
                Regional variability, local relative degradation: How to manage 
                scale</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Desertification 
                has to be clearly distinguished from desert encroachment, which 
                is linked with the romantic idea of the desert encroaching irreversibly 
                upon green areas. Different thresholds of land and soils degradation 
                have been used to assess the loss of natural resources, and differ 
                considerably according to the idea of irreversibility as the ultimate 
                stage of degradation (which is desertification on a 25 years basis). 
                We have no evidence to say that the drought period has ended, 
                nor can we say that there is a global trend towards a drier climate 
                since the last century. So that the greening Sahel, following 
                the yellowing Sahel of the 70&#8217;s, is just an expression of 
                climate variability: the desert did not encroach upon the arid 
                Sub-Saharan regions.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Whether 
                land use changes (towards fewer range pastures, more fields and 
                fallow fields, less fallow period, etc) are responsible or not 
                for soil and land degradation cannot be assessed just through 
                a global survey at regional scale: degradation (loss of soil material, 
                decreasing in production) depends upon the way populations are 
                using their space and resources (human density, technology, etc.).</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Examples 
                from north Saharan countries, where animal pressure increased 
                during the drought period due to national actions taken to mitigate 
                the effect of the drought, show that we must differentiate between 
                land degradation and/or desertification (which correspond to the 
                loss of production capability) and resources degradation, which 
                expresses a decreasing value for human use.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Combining 
                bio-physical and socio-economical assessment and monitoring, functional 
                models at a local scale and structural monitoring at the national 
                or regional scale, could help understanding the trends in desertification. 
                These are the objectives of the ROSELT/OSS program.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>4.11 
                Environmental and land cover changes in the Sahel region: Lessons 
                learned, challenges and priority actions</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">During 
                the last three decades, the Sahel region has been confronted with 
                various forms of environmental and ecological degradation due 
                to climate change and anthropogenic pressures. These changes have 
                been described as the most important that the region has ever 
                faced. Recent studies and analysis show spatial and temporal patterns 
                changes and variability in landscape features, tree-crop patterns, 
                and forest cover, with severe degradation of soils and fragile 
                ecosystems.<br>
                However, their impacts could have been mitigated or even reversed 
                through constructive policies and concerted and collaborative 
                efforts with a focus on priority areas where the conservation 
                and rehabilitation of fragile lands could be the most cost effective.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Since 
                2002, the LADA team (a partnership among FAO, UNEP and GEF) is 
                carrying out studies focused on the assessment of the status and 
                trends of these changes, including their impacts on livelihoods 
                and identification of hotspots. LADA aims to generate up-to-date 
                information related to ecological and environmental changes, including 
                economical, social and technical aspects, traditional knowledge 
                and practices on land management which have occurred in drylands 
                during these decades.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">The 
                principle objective of the LADA project is to develop methods 
                and tools to assess and quantify the nature, extent, severity 
                and impacts of land degradation on ecosystems, watersheds and 
                river basins, carbon storage and biological diversity in drylands 
                at a range of spatial and temporal scales. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">The 
                project will also build national, regional and global assessment 
                capacities to enable the design and planning of interventions 
                to mitigate land degradation and establish sustainable land use 
                and management practices. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>4.12 
                The utilization of geoinformation technology for agroenvironmental 
                applications in Egypt </strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Remote 
                sensing can provide valuable and timely information about natural 
                resources and environmental conditions which are important for 
                sustainable development. However, in developing countries, the 
                utilization of such advanced technologies differs from one country 
                to another. Egypt, as a developing country, has experience in 
                the utilization of Earth observation satellites and aircraft remote 
                sensing data in soil mapping as well as assessment of land degradation.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Agriculture 
                in Egypt depends mainly on irrigation, which has been practiced 
                since pre- historic times by Egyptians, and is still used today 
                in similar ways. The main source of irrigation water in Egypt 
                is the Nile River. Despite implementing a number of projects to 
                regulate the Nile, much of its water is still not used properly 
                with an efficiency of less than 50% and salinization as a consequence. 
                By adopting irrigation practices that seek to match irrigation 
                amount with different crop requirements will save a great deal 
                of water while conserving soils and rendering them saline. <br>
                </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>5.0 
                Conclusions</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">After 
                presentation were made, the group identified seven issues that 
                are associated with the changes that have been observed in the 
                Sahel. They were framed as questions.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>1. 
                IS THE SAHEL &#8220;GREENING&#8221;? </strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">This 
                question and its policy implications are the primary purpose of 
                the meeting.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>Conclusion: 
                </strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">For 
                the last four decades there has been sustained scientific interest 
                in contemporary environmental change in the Sahel. It suffered 
                several devastating droughts and famines between the late 1960s 
                and early 1990s. Speculation about the climatology of these droughts 
                is unresolved, as is speculation about the effects of land clearance 
                on rainfall and about land degradation in this zone. However, 
                recent findings suggest a consistent trend of increasing vegetation 
                greenness in much of the region. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">AVHRR 
                NDVI data have been analyzed for the African Sahel to study recent 
                trends in vegetation greenness. A strong increase in seasonal 
                NDVI was observed over large areas in the Sahel during the period 
                1982-1999. Preliminary studies indicate a continuation of the 
                trend through 2003. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Although 
                strong shifts in satellite overpass times have led to shifting 
                solar zenith angles (SZA) over the time period, only minimal influence 
                of SZA&#8217;s on the Pathfinder NDVI has been found in the data. 
                Meticulous quality assessment of other parameters related to the 
                data, strongly supports the conclusion that the observed trend 
                is a real change on the land surface. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Analyses 
                of rainfall data indicate increasing rainfall during the same 
                period. However, the greening trend cannot be explained solely 
                by rainfall. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>Implications: 
                </strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">&#8220;Getting 
                it wrong&#8221; will have adverse impacts on the development future 
                of local and national populations in the Sahel, as well as the 
                institutions designed to deal with problems of dryland management 
                everywhere.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>2. 
                IS THIS RECOVERY?</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">&#8220;Recovery&#8221; 
                is not a helpful term. It means a return to conditions that existed 
                at some assumed equilibrium point in the past. When an equilibrium 
                system is disturbed, its tendency is to seek equilibrium. In the 
                case of the ecology of the Sahel, disturbances might be drought 
                or, in the case of livestock, it might be pressure from grazing 
                animals. When that pressure is removed (i.e., the rains return 
                or the animals move elsewhere), the system returns to equilibrium. 
                This implies that during the period of disturbance, vegetation 
                cover is reduced and some species may decline, others increase, 
                and still others may invade. Recovery, in this sense, would be 
                a return to initial species composition and cover. However, there 
                are other models of non-equilibrium that argue that, rather than 
                a single equilibrium point, there may be multiple equilibrium 
                points. Thus, in our simple example, the state at which the original 
                array of species and cover has been reduced and invaders increased 
                may represent a new equilibrium point because the relationship 
                among species or nature of the soil has changed because of erosion. 
                Yet, it may have a &#8220;greenness&#8221; value that is similar 
                to the original state because overall plant cover may be the same 
                although species composition has changed.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Human 
                livelihood systems might be viewed to operate in a similar manner. 
                Using a similar equilibrium model, a given household or community 
                might enjoy some level of income (agricultural production) and 
                command a set of resources (e.g., livestock; farm implements) 
                in their livelihood system at some equilibrium point in the past. 
                When this livelihood system is disturbed (e.g., drought) the income 
                stream is disrupted. There appear to be two types of trajectories 
                that households might follow. In the common degradation model, 
                confronted with reduced income, households must draw down their 
                resources (i.e., sell their livestock and farm implements), seek 
                employment, or migrate. In the equilibrium model, it is assumed 
                that when rains return, opportunities for agricultural production 
                improve and households then may &#8220;recover.&#8221; However, 
                because their labor force is reduced, and productive assets are 
                gone, they have reached a new equilibrium point. Because they 
                have a much-diminished productive capacity, it is extremely difficult 
                for them to move to a new, higher equilibrium point, even if rains 
                remain good. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">An 
                alternative adaptation model has emerged to counter the degradation 
                model. Limited ground studies have shown that some farmers and 
                communities have adapted to the changes experienced in the Sahel 
                over the past 30 years (see 4.4. and 4.6). Adaptations begin with 
                improved management of water and soil fertility. As these change 
                increase returns, farmers invest in more inputs, livestock, and 
                crop diversification that are all intended improve economic their 
                position. This suggests that they are moving towared a much different 
                &#8211; and positive &#8211; equilibrium point than in the degradation 
                trajectory. While promising in that it shows that success can 
                be be achieved with and without outside intervention, these success 
                stories provide model of strategies that might be pursued. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>Conclusion: 
                </strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">From 
                an agricultural, ecological, and socioeconomic perspective, it 
                is not only risky but very probably wrong to assume that increased 
                greenness signals &#8220;recovery.&#8221; More importantly, given 
                the range of potential outcomes that might result for any community 
                from a general improvement of conditions in the Sahel, the concept 
                of recovery is does not seem to be particularly useful. &#8220;Change&#8221; 
                is a less loaded and more useful concept.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>Implications: 
                </strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">If 
                it is assumed that increased greenness signals recovery, policies 
                that are intended to benefit affected populations might be scaled 
                back or eliminated. However, rather than &#8220;recovered,&#8221; 
                conditions on the ground may be quite different and, in fact, 
                less favorable than they were &#8220;before the emergency.&#8221; 
                Moreover, given the range of outcomes of the past 20 years, policies 
                based on an equilibrium or &#8220;recovery&#8221; model may do 
                damage to one or several groups. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>3. 
                HAS THIS RECOVERY OCCURRED EVERYWHERE?</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Adding 
                to the difficulty of determining what the greening of the Sahel 
                might mean is its pattern and scale. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>Conclusion:</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">While 
                extensive, the greening is not uniform, suggesting that factors 
                other than rainfall may be contributing to greening of some areas 
                and not others. In addition, the resolution of the satellite data 
                set is coarse (8 km). So, the pattern of greening that might help 
                explain its causes may be partly obscured by the resolution of 
                the data.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>Implications:</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Sorting 
                out the patterns of green and nongreen areas is essential for 
                making sense of the greening phenomenon.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>4. 
                WHAT OTHER UNEXPECTED CHANGES HAVE OCCURRED?</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Several 
                studies on long-term environmental and agricultural change in 
                the Sahel (in Niger, Nigeria, Burkina Faso and Senegal) have found 
                evidence of significant transitions from degradational land use 
                trajectories to more sustainable and productive production systems. 
                These include increases in cereal yields, higher densities of 
                trees, improved soil fertility management, locally higher groundwater 
                tables, reductions in rural poverty, and decreased out-migration. 
                These changes coincided with growth in rural populations and introduction 
                of structural adjustment policies.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>Conclusion: 
                </strong> </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">It 
                is likely that more such &#8216;success stories&#8217; will be 
                found in the Sahel, which collectively challenge the narrative 
                of Sahelian degradation which has informed policy for the last 
                few decades.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>Implications:</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Known 
                and currently unknown success stories offer a wide range of potential 
                lessons that could be widely applied. In essence, they represent 
                a wide array of successful experiments that are as yet unknown 
                but with great potential value.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><br>
                <strong>5. HOW DO THESE CHANGES REDEFINE THE CHALLENGES TO POLICY?</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">The 
                changes observed in the Sahel over the past 30 years show it to 
                be a region of extreme variability. Part of the variability is 
                climatic, but as seen above, it is also a region in which farmers 
                are capable of responding creatively to that variability. Policy 
                must be adept at responding directly to the variations in climate 
                (both positive and negative) in ways that release the creativity 
                of farmers and livestock growers to respond to them.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>Conclusion: 
                </strong> </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">In 
                some places, as in the central Plateau of Burkina Faso, central 
                government policies have enabled greening through soil and water 
                conservation (although the results generally exceeded expectation), 
                but most of the post 1984 greening was independent of policy or 
                intervention. This is partly because many policies have arisen 
                from an unfortunate narrative about degradation, for which the 
                empirical evidence is inconclusive. Further, they have not addressed 
                the most important influences on crop production, or the construction 
                of fertility (as opposed to the inherent fertility) of soils.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>Implications: 
                </strong> </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Until 
                now, policy had been informed by a narrative of degradation in 
                the Sahel. Policy was largely ineffective, but farmers found ways 
                to improve their conditions in managing, among other things, soil 
                fertility. If policy can be informed by a narrative that arises 
                from the creativity of farmers and livestock producers, they may 
                be better positioned to deal with the inevitable return of drought.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>6. 
                HOW DO THESE CHANGES REDEFINE THE CHALLENGES FOR LAND USERS? </strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Farmers 
                and livestock producers will still have to manage their livelihoods 
                under conditions of variable rainfall, finite land resources and 
                low bioproductivity. However, the biophysical and management changes 
                that have been identified suggest that they are less the helpless 
                victims of environmental change than agents who try to make the 
                best use of productive and investment opportunities. Externally 
                funded interventions and macro-policies have played a part in 
                this evolution, together with local initiatives on a sustained 
                and significant scale.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>Conclusion: 
                </strong> </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Farmers 
                have a capacity to experiment and to innovate, especially in areas 
                with high pressure on the available resources. This capacity should 
                be supported and enhanced, for example by means of participatory 
                research and extension, and strengthened local institutions.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>Implications:</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Continued 
                innovation in land use practices and investment in natural resources 
                is a condition for sustainable livelihoods in the longer term. 
                </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><br>
                <strong>7. ARE THE DATA WE GATHER AND ANALYZE APPROPRIATE FOR 
                DETERMINING AND UNDERSTANDING THIS TREND?</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Evidence 
                of the greening pattern over the region has been drawn from analysis 
                of a limited set of biophysical (greenness) and climatic data 
                (rainfall). However, part of the greening phenomenon cannot be 
                attributed to rainfall alone. Thus, other data may be required 
                to understand greening and what it means. Second, rainfall data 
                is problematic for the region in terms of availability. This may 
                be partially overcome by relying on satellite estimates of precipitation. 
                However, in addition to its intrinsic value for studying climate 
                and its use in driving climate models, rainfall data are used 
                to validate satellite estimates. </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><br>
                <strong>Conclusion:</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Efforts 
                must be made to continue to make rainfall data available. An over- 
                reliance unvalidated satellite data is problematic. Other types 
                of data (i.e., socioeconomic) should be explored to help explain 
                changes that are observed within the Sahel.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>Implications:</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">To 
                have confidence in observed trends in greenness requires a convergence 
                of evidence. It is risky to rely on a single source of information. 
                Data from rainfall gauges is sometimes problematic, but so too 
                is unvalidated satellite data. Similarly, while these two measures 
                might suggest trends in biophysical conditions, those may be unrelated 
                to conditions of human well-being.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong><br>
                6.0 Recommendations</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>1. 
                Confirmation and exploration of greening </strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">The 
                data used to detect the greening trend should be interrogated 
                further. Four main aspects can be distinguished: </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">&#8226; 
                Continuation of the time series: The present time series generally 
                available covers the period from July 1982 through 2000. The year 
                2000, however, is of inferior quality due to the gradual shift 
                of SZA. It is important to make the continuation of the time series 
                also generally available.<br>
                &#8226; Further quality assessment and correction: The time series 
                available has not gone through state-of-the art data processing. 
                By reprocessing the entire database using the latest processing 
                schemes we can anticipate further removal of noise and atmospheric 
                contamination. <br>
                &#8226; Further data analysis: There are a number of intriguing 
                patterns that deserves further studies. The analyses so far have 
                concentrated to the time integrated NDVI. Other characteristics 
                may reveal patterns that can contribute to the disentangling of 
                the biophysical meaning of the trend, such as i) the seasonal 
                timing and amplitude of NDVI, ii) the onset and end of seasons 
                and iii) the rate of increase and decrease of the seasons.<br>
                &#8226; Derivation of biophysical information: In order to derive 
                biophysical information, the NDVI time series should be used as 
                a driving force of a biophysical model. This will result in a 
                much more meaningful, and for land management more useful, information, 
                expressed as Gross/Net Primary Production (kg/m2)</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>2. 
                Assessment of change </strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Initiate 
                validation campaign comparable to those associated with other 
                remote sensing observations (e.g., TRMM) to establish systematically 
                (a) what greenness means on the ground, (b) how changes relate 
                to human well-being and environment. This major effort would include:</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">&#8226; 
                Identification of areas of change. All positive changes would 
                be inventoried to establish population of targets from which to 
                draw sample study areas. They would be identified from the (a) 
                satellite record, and (b) areas of documented change on the ground 
                (irrespective of corroborative satellite data). These would be 
                compared with rainfall data to determine the degree to which changes 
                could be attributed to climate.<br>
                &#8226; Select sample study sites from pool. Samples of change 
                with controls (no change) would be drawn from the population for 
                systematic study. These would form a base from which the impacts 
                of change could be established now, but also monitored at a future 
                time to develop a more profound understanding of change (both 
                positive and negative).<br>
                &#8226; Characterize samples. First, samples would be studied 
                using remote sensing (satellite data and aerial photography) and 
                field sampling to characterize them biophysically (soil, vegetation, 
                land use, land cover, infrastructure). In addition, historical 
                remote sensing data would be used to establish conditions (to 
                the degree possible) at some reference point in the past. Second, 
                household surveys would be conducted within subsampled areas within 
                each sample to characterize (a) their livelihood systems and (b) 
                socioeconomic conditions and how they had changed between now 
                and some point in the past. These, too, would serve as long-term 
                reference points for longitudinal studies of human response to 
                change. <br>
                &#8226; Establish degrees of change. Changes (positive and negative) 
                will be manifest in a number of different ways that will vary 
                from place to place. Likely biophysical measures would include 
                changes in vegetation and land cover, infrastructure development, 
                conservation interventions, and soil erosion. Likely socioeconomic 
                measures might include changes in population, agricultural production, 
                wealth, and measures of well-being (e.g., child weight-to-height 
                ratios, morbidity and mortality, malnutrition), and general food 
                security.<br>
                &#8226; Establish causative factors for observed change. The data 
                collected will be analyzed to understand the reasons change occurred 
                and the degree to which different factors influenced outcomes. 
                Improved rainfall may be an important factor, but others such 
                as changes in soil and water management practices are expected 
                to be important.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>3. 
                Assessment of apparent anomalies</strong><br>
                <br>
                While there is evidence that the conditions for farmers and livestock 
                producers have declined in terms of production and soil fertility, 
                other ground studies have documented success stories of farmers 
                and livestock producers who have adapted successfully to changing 
                conditions in the Sahel. These should serve as lessons that could 
                guide future policy and intervention strategies that might lead 
                to a more positive perspective on options for renewing agriculture 
                in the Sahel.. This would be achieved through a study that was 
                focused on: </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">&#8226; 
                The policy lessons drawn from the existing studies should be applied 
                to other areas and scaled up to macro-policy level. <br>
                &#8226; More policy-relevant studies should be undertaken on &#8216;success 
                stories&#8217; of agricultural and natural resource management 
                in order to draw lessons from a wider range of environments, and 
                to identify constraints to upscaling.<br>
                &#8226; These studies could be linked to a review of land rehabilitation 
                activities across the Sahel (approaches, technologies, impact, 
                upscaling potential).</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Ultimately, 
                this should lead to policies which:</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">&#8226; 
                Through appropriate policy instruments, incentives should be provided 
                for innovation and investment in natural resource management (for 
                example, ensuring security in land and tree tenure, information 
                diffusion).<br>
                &#8226; Provide the widest possible range of technical and livelihood 
                options for rural families.<br>
                &#8226; Promote the use of institutional channels (existing or 
                adapted) for locally based management of natural resources, especially 
                common pool resources.</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><strong>4. 
                Data continuity and exploitation</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Data 
                will continue to be a critical issue, in terms of availability 
                and access (i.e., price), but is essential for monitoring and 
                assessment. To continue and enhance the flow of data:</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">&#8226; 
                Encourage national and regional climate data sharing with partners<br>
                &#8226; Invest in data mining of historical and systematic gathering 
                of socio-economic data to provide multi-scale picture of interactions 
                between climate and changes<br>
                &#8226; Strengthen climate observation network</font></p>
              <p align="justify"> <font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><br>
                </font></p>
              <p align="justify"> <font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><br>
                NOTE: Relevant results from the workshop will be refereed and 
                printed in a special issue of the Journal of Arid Environments. 
                <br>
                </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><br>
                <strong>ATTACHMENT 1: LIST OF PARTICIPANTS</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">1. 
                Dr. Assaf Anyamba<br>
                NASA/Goddard Space Flight Center<br>
                E-mail: [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">2. 
                Dr. Charles Hutchinson<br>
                College of Agriculture and Life Sciences<br>
                University of Arizona<br>
                E-mail: [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">3. 
                Dr. Sharon E. Nicholson<br>
                Dept. of Meteorology<br>
                Florida State University<br>
                E-mail: [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">4. 
                Dr. Lennart Olsson<br>
                Centre for Environmental Studies<br>
                University of Lund<br>
                [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">5. 
                Dr. Andrew Warren<br>
                University College London<br>
                E-mail: [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">6. 
                Dr. Assize Toure<br>
                Centre de Suivi Ecologique (CSE)<br>
                Senegal<br>
                Email: [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">7. 
                Dr. Wilbur K. Ottichilo<br>
                Regional Centre for Mapping of Resources for Development (RCMRD)<br>
                Nairobi, Kenya<br>
                E-mail [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">8. 
                Mr. Antonio di Gregorio<br>
                Africover / FAO<br>
                Nairobi, Kenya<br>
                E-mail: [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">9. 
                Mr. Jean-Marc d'Herbes<br>
                ROSELT/OSS<br>
                Montpellier CEDEX 05, France<br>
                Email: [email protected]<br>
                </font><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><br>
                10. Mr. Chris Reij<br>
                International Cooperation center<br>
                Vrije Universiteit<br>
                E-mail: [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">11. 
                Dr. Michael Mortimore<br>
                Drylands Research<br>
                United Kingdom<br>
                Email: [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">12. 
                Dr. Mahmoud H. Ahmed<br>
                National Authority for Remote Sensing and Space Science,<br>
                Cairo, Egypt<br>
                E-mail: [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">13. 
                Mr. Jim Weber<br>
                International Center for Remote Sensing of Environment (ICRSE)<br>
                E-Mail: [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">14. 
                Dr. Abdoulaye Kignaman-Soro<br>
                ACMAD<br>
                Niamey, Niger<br>
                e-mail: [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">15. 
                Mr. Mounkaila Goumandakoye<br>
                Drylands Development Center /UNDP<br>
                Nairobi, Kenya<br>
                Email: [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">16. 
                Dr. Syaka Sadio<br>
                Forest Resources Division, FAO<br>
                Rome, Italy<br>
                E-mail: [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">17. 
                Mr. Ndegwa Ndiang'ui<br>
                UNCCD<br>
                Bonn, Germany<br>
                E-mail: [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">18. 
                Mr. Timo Maukonen,<br>
                DEWA / UNEP,<br>
                Nairobi, Kenya<br>
                E-mail: [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">19. 
                Dr. Ashbindu Singh, <br>
                DEWA/RONA/UNEP<br>
                Washington, D.C. USA<br>
                E-mail: [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">20. 
                Dr. Steve Lonergan,<br>
                DEWA / UNEP<br>
                [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">21. 
                Mr. Ivar Baste<br>
                DEWA / UNEP<br>
                [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">22. 
                Dr. Anna Tengberg,<br>
                DGEF / UNEP<br>
                [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">23. 
                Dr. Mohamed Sessay<br>
                DGEF / UNEP<br>
                [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">24. 
                Mr. Jinhua Zhang<br>
                DEWA / UNEP<br>
                [email protected]</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"> 
                Observers:</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"> 
                Mr. Michael Norton-Griffiths<br>
                Nairobi, Kenya<br>
                Email: &quot;M.Norton-Griffiths&quot; &lt;[email protected]&gt;</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"> 
                Mr. Dave MacDevette<br>
                Cape Town , South Africa<br>
                Email: [email protected]<br>
                </font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><br>
                <strong>ATTACHMENT 2: WORKSHOP AGENDA</strong></font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">UNEP 
                / FAO / UNCCD Workshop on Changes in the Sahel</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Nairobi</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">14-16 
                October 2003</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">Tuesday, 
                14 October 2003</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">0900 
                Welcome and opening statement S. Lonergan, UNEP, Kenya <br>
                0930 Introductions and Administrative Announcements T. Maukonen, 
                UNEP, Kenya<br>
                1000 Review and Adoption of Agenda J. Weber, ICRSE, USA<br>
                1030 Coffee<br>
                1100 UNEP perspectives T. Maukonen, UNEP, Kenya <br>
                1130 FAO Perspectives S. Sadio, FAO, Italy<br>
                1200 UNCCD perspectives N. Ndiangui, UNCCD, Germany<br>
                1230 Lunch<br>
                1400 Evolving Contexts of the desertification debate C. Hutchinson, 
                U of Arizona, USA<br>
                1430 Sahelian Rainfall S. Nicholson, Florida State U, USA<br>
                1500 23 years of Sahelian vegetation dynamics A. Anyamba, NASA/GSFC, 
                USA <br>
                1530 Greening of the Sahel L. Olsson, U of Lund, Sweden <br>
                1600 Coffee<br>
                1630 Discussion Participants<br>
                1730 Adjourn</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><br>
                Wednesday, 15 October 2003</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">0900 
                Regional Variability J. d&#8217;Herbes, ROSELT, France<br>
                0930 Egypt&#8217;s perspective M.H. Ahmed, NARSSS, Egypt<br>
                1000 A new land cover classification system W. Ottichilo, A. DiGregorio, 
                Kenya<br>
                1030 Coffee <br>
                1100 Discussion Participants <br>
                1200 Lunch <br>
                1400 Changes and vegetation growth in the Sahel A. Toure, CSE, 
                Senegal<br>
                1430 Impacts of change in the Sahel A. Kignaman-Soro, ACMAD, Niger	
                <br>
                1500 Impact of Soil/Water conservation on Agriculture C. Reij, 
                ICC, Netherlands<br>
                1530 Coffee <br>
                1600 Discussion Participants<br>
                1700 Adjourn</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif"><br>
                Thursday, 16 October 2003</font></p>
              <p align="justify"><font color="#FFFFFF" face="Arial, Helvetica, sans-serif">0900 
                Policy Implications of the Sahelian Recovery A. Warren, UCL, UK 
                <br>
                0930 Farmers responses to economics and environment M. Mortimore, 
                Drylands Research, UK <br>
                1000 Coffee <br>
                1030 Discussion Participants<br>
                1200 Lunch<br>
                1400 Drafting of preliminary report Participants<br>
                1700 Presentation of Preliminary Report Participants<br>
                1800 Adjourn</font></p>
              <p></p>
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