Abstract
To make sense of the controversies about Sahelian desertification, we must be able to assess objectively the processes, their location and level of threat to drylands and those who inhabit them. Surprisingly, after the United Nations Conference on Desertification (UNCOD) was set up in 1977, there still are no reliable maps or means of monitoring desertification at the sub-national to global scales, even in the iconic Sahel region. These are the scales needed to formulate institutional policies for prevention and remediation and for Earth system science. While there are a few maps that do extend to larger areas, they mostly have serious shortcomings. This void is partly because suitable metrics have not been available and those that have been proposed can be difficult or impossible to apply over large areas. One of the most basic problems is the lack of comparison with non-desertified sites and an absence of validation, without which statements about more or less desertification are misleading. Furthermore, existing maps are mostly based on subjective assessments by experts, and therefore cannot be applied elsewhere or by different observers, nor can they be used in future for monitoring. Consequently, unsupported statements about the extent and severity of desertification abound. This chapter reviews the existing global maps and sets out principles for more rigorous mapping and proposes methods that adhere to these. Decades of work have improved our understanding of individual components of the desertification processes, but have not answered the three fundamental questions at the regional to global scales: What is degraded? Where does it occur? How severe is the degradation?
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References
Abella, S. R., Chiquoine, L. P., Newton, A. C., & Vanier, C. H. (2015). Restoring a desert ecosystem using soil salvage, revegetation, and irrigation. Journal of Arid Environments, 115, 44–52.
Adeel, Z., Safriel, U., Niemeijer, D., & White, R. (Eds.). (2005). Millennium ecosystem assessment. Ecosystems and human well-being: Desertification synthesis. Washington, D.C.: World Resources Institute.
Al-Bakri, J. T., Taylor, J. C., & Brewer, T. R. (2001). Monitoring land use change in the Badia transition zone in Jordan using aerial photography and satellite imagery. The Geographical Journal, 167, 248–262.
Asner, G. P., & Heidebrecht, K. B. (2002). Spectral unmixing of vegetation, soil and dry carbon cover in arid regions: Comparing multispectral and hyperspectral observations. International Journal of Remote Sensing, 23, 3939–3958.
Bai, Z. G., Conijn, J. G., Bindraban, P. S., & Rutgers, B. (2012). Global changes of remotely sensed greenness and simulated biomass production since 1981. Towards mapping global soil degradation Report 2012/02. Wageningen: ISRIC.
Bai, Z. G., Dent, D. L., Olsson, L., & Schaepman, M. E. (2008). Proxy global assessment of land degradation. Soil Use and Management, 24, 223–234.
Bastin, G., Pickup, G., Chewings, V., & Pearce, G. (1993). Land degradation assessment in central Australia using a grazing gradient method. Rangeland Journal, 15, 190–216.
Batjes, N. H. (1996). Global assessment of land vulnerability to water erosion on a 1/2 by 1/2 grid. Land Degradation and Development, 7, 353–365.
Batjes, N., Dijkshoorn, K., van Engelen, V., Fischer, G., Jones, A., Montanarella, L., et al. (2012). Harmonized world soil database: Version 1.2. FAO, Rome, Italy and IIASA, Laxenburg, Austria: FAO/IIASA/ISRIC/ISSCAS/JRC.
Beinroth, F. H., Eswaran, H., & Reich, P. F. (2001). Global assessment of land quality. In D. E. Stott, R. H. Mohtar & G. C. Steinhardt (Eds.), Sustaining the global farm: Selected papers from the 10th international soil conservation organization meeting (pp. 569–574). Purdue University and the USDA-ARS National Soil Erosion Research Laboratory.
Berry, L., Abraham, E., & Essahli, W. (2009). UNCCD recommended minimum set of impact indicators. UNCCD.
Boer, M. M., & Puigdefábregas, J. (2003). Predicting potential vegetation index values as a reference for the assessment and monitoring of dryland condition. International Journal of Remote Sensing, 24, 1135–1141.
Bossio, D., Geheb, K., & Critchley, W. (2010). Managing water by managing land: Addressing land degradation to improve water productivity and rural livelihoods. Agricultural Water Management, 97, 536–542.
Bowker, M. A., Belnap, J., & Miller, M. E. (2006). Spatial modeling of biological soil crusts to support rangeland assessment and monitoring. Rangeland Ecology and Management, 59, 519–529.
Bridges, E. M., & Oldeman, L. R. (1999). Global assessment of human-induced soil degradation. Arid Soil Research and Rehabilitation, 13, 319–325.
Brown, M. E. (2008). Famine early warning systems and remote sensing data. Berlin: Springer.
Brown, M. E., Grace, K., Shively, G., Johnson, K. B., & Carroll, M. (2014). Using satellite remote sensing and household survey data to assess human health and nutrition response to environmental change. Population and Environment, 36, 48–72.
Cai, X., Zhang, X., & Wang, D. (2010). Land availability for biofuel production. Environmental Science and Technology, 45, 334–339.
Castro, J. M., Salomone, J. M., & Reichart, R. N. (1980). Estudio de los focos de erosión en el SO de la Provincia de Chubut. In Informe Técnico (p. 68). Trelew, Argentina: Instituto Nacional de Tecnología Agropecuaria.
Cerdan, O., Govers, G., Le Bissonnais, Y., Van Oost, K., Poesen, J., Saby, N., et al. (2010). Rates and spatial variations of soil erosion in Europe: A study based on erosion plot data. Geomorphology, 122, 167–177.
CIESIN. (2005). Gridded Population of the World (GPW), v3. Socioeconomic Data and Applications Center (SEDAC), http://sedac.ciesin.columbia.edu/. Accessed February 7, 2015.
Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20, 37–46.
Conant, R. T., & Paustian, K. (2002). Potential soil carbon sequestration in overgrazed grassland ecosystems. Global Biogeochemical Cycles, 16, 1143.
Cook, B., & Pau, S. (2013). A global assessment of long-term greening and browning trends in pasture lands using the GIMMS LAI3 g dataset. Remote Sensing, 5, 2492–2512.
Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B., & Lambin, E. (2004). Digital change detection methods in ecosystem monitoring: A review. International Journal of Remote Sensing, 25, 1565–1596.
CSE. (2015). Centre de Suivi Ecologique (Ecological Monitoring Center), http://www.cse.sn. Accessed February 6, 2015.
Dawelbait, M., & Morari, F. (2012). Monitoring desertification in a Savannah region in Sudan using landsat images and spectral mixture analysis. Journal of Arid Environments, 80, 45–55.
Deichmann, U. (1994). A medium resolution population database for Africa: Technical paper and digital database. Santa Barbara: National Center for Geographic Information and Analysis.
del Valle, H. F., Blanco, P. D., Metternicht, G. I., & Zinck, J. A. (2010). Radar remote sensing of wind-driven land degradation processes in Northeastern Patagonia. Journal of Environmental Quality, 39, 62–75.
den Biggelaar, C., Lal, R., Wiebe, K., Eswaran, H., Breneman, V., & Reich, P. (2004). The global impact of soil erosion on productivity II: Effects on crop yields and production over time. Advances in Agronomy, 81, 1–48.
DESIRE. (2008). Manual for describing land degradation indicators. Athens: Agricultural University of Athens.
Dewitte, O., Jones, A., Elbelrhiti, H., Horion, S., & Montanarella, L. (2012). Satellite remote sensing for soil mapping in Africa: An overview. Progress in Physical Geography, 36, 514–538.
Dijkshoorn, J. A., van Engelen, W. W. P., & Huting, J. R. M. (2008). Global Assessment of Land Degradation Soil and landform properties for LADA partner countries (Argentina, China, Cuba, Senegal and The Gambia, South Africa and Tunisia). ISRIC report 2008/06 and GLADA report 2008/0. Wageningen: ISRIC—World Soil Information Center and FAO.
Dregne, H. E. (1983). Desertification of arid lands. In F. El-Baz & M. H. A. Hassan (Eds.), Physics of desertification (p. 242). Chur, Switzerland; New York: Harwood Academic Publishers.
Dregne, H. E., & Chou, N. T. (1992). Global desertification dimensions and costs. In H. E. Dregne (Ed.), Degradation and restoration of arid lands. Lubbock, Texas: International Center for Arid and Semiarid Land Studies, Texas Tech. University.
Ellis, E. C., & Ramankutty, N. (2008). Putting people in the map: Anthropogenic biomes of the world. Frontiers in Ecology and the Environment, 6, 439–447.
Eswaran, H., Almaraz, R., van den Berg, E., & Reich, P. (1997). An assessment of soil resources of Africa in relation to productivity. Geoderma, 77, 1–18.
Eswaran, H., Lal, R., & Reich, P. F. (2001). Land degradation: an Overview. In E. M. Bridges, I. D. Hannam, L. R. Oldeman, F. W. T. Pening de Vries, S. J. Scherr, & S. Sompatpanit (Eds.), Responses to land degradation. Khon Kaen, Thailand: Oxford Press.
FAO/UNESCO. (1991). The digitized soil map of the world. In World Soil Resources Report, Rome.
FAOSTAT. (2015). Food and agriculture organization of the United Nations, statistics division. http://faostat.fao.org. Accessed February 7, 2015.
Feddema, J. J. (1999). Future African water resources: Interactions between soil degradation and global warming. Climatic Change, 42, 561–596.
FEWS Net. (2015). Famine early warning network. http://www.fews.net. Accessed February 7, 2015.
Furby, S., Caccetta, P., & Wallace, J. (2010). Salinity monitoring in Western Australia using remotely sensed and other spatial data. Journal of Environmental Quality, 39, 16–25.
Gao, J., & Liu, Y. (2010). Determination of land degradation causes in Tongyu County, Northeast China via land cover change detection. International Journal of Applied Earth Observation and Geoinformation, 12, 9–16.
GCMD. (2015). Global change master directory. http://gcmd.nasa.gov. Accessed February 6, 2015.
Geist, H. (2005). The causes and progression of desertification. Abingdon Oxon, UK: Ashgate Publishing.
Gibbs, H. K., & Salmon, J. M. (2015). Mapping the world’s degraded lands. Applied Geography, 57, 12–21.
GIEWS. (2015). Global information and early warning system. http://www.fao.org/giews/english/index.htm. Accessed February 15, 2015.
GLADIS. (2015). Global land data information system. http://www.fao.org/nr/lada. Accessed February 8, 2015.
Hagen-Zanker, A., Engelen, G., Hurkens, J., Vanhout, R., & Uljee, I. (2006). Map Comparison Kit (MCK). 3.0. Maastricht, The Netherlands: Research Institute for Knowledge Systems (RIKS bv).
Harris, I., Jones, P. D., Osborn, T. J., & Lister, D. H. (2014). Updated high-resolution grids of monthly climatic observations—the CRU TS3.10 dataset. International Journal of Climatology, 34, 623–642. doi:10.1002/joc.3711.
Herrick, J. E., Lessard, V. C., Spaeth, K. E., Shaver, P. L., Dayton, R. S., Pyke, D. A., et al. (2010). National ecosystem assessments supported by scientific and local knowledge. Frontiers in Ecology and the Environment, 8, 403–408.
Hill, J. (2001). Remote sensing of surface properties. In S.-W. Breckle, M. Veste & W. Wucherer (Eds.), The key to land degradation and desertification assessments. Sustainable land use in deserts (pp. 243–254). Springer, Berlin.
Holm, A. M., Cridland, S. W., & Roderick, M. L. (2003). The use of time-integrated NOAA NDVI data and rainfall to assess landscape degradation in the arid shrubland of Western Australia. Remote Sensing of Environment, 85, 145–158.
Ibáñez, J., Martínez Valderrama, J., & Puigdefabregas, J. (2008). Assessing desertification risk using system stability condition analysis. Ecological Modelling, 213, 180–190.
IPBES. (2015). Intergovernmental panel on biodiversity and ecosystem services. http://www.ipbes.net/. Accessed June 9, 2015.
IPCC. (2015). Intergovernmental panel on climate change. http://ipcc.ch/. Accessed February 7, 2015.
Izaurralde, R. C., Williams, J. R., Post, W. M., Thomson, A. M., McGill, W. B., Owens, L. B., & Lal, R. (2007). Long-term modeling of soil C erosion and sequestration at the small watershed scale. Climatic Change, 80, 73–90.
Kirkby, M. J., Irvine, B. J., Jones, R. J. A., & Govers, G. (2008). The PESERA coarse scale erosion model for Europe. I.—Model rationale and implementation. European Journal of Soil Science, 59, 1293–1306.
Kosmas, C., Karavitis, C., Kairis, O., Kounalaki, A., Fasouli, V., & Tsesmelis, D. (2012). Using indicators for identifying best land management practices for combating desertification. DESIRE Scientific reports. Deliverable 2.2.3. Agricultural University of Athens.
Lambin, E. F., & Ehrlich, D. (1997). Land-cover changes in sub-saharan Africa (1982–1991): Application of a change index based on remotely sensed surface temperature and vegetation indices at a continental scale. Remote Sensing of Environment, 61, 181–200.
Liniger, H., Schwilch, G., Gurtner, M., Studer, R.M., Hauert, C., van Lynden, G., et al. (2008). WOCAT degradation categorization system. WOCAT—World Overview of Conservation Approaches and Technologies.
Lobell, D. B. (2010). Remote sensing of soil degradation: Introduction. Journal of Environmental Quality, 39, 1–4.
Martín-Fernández, L., & Martínez-Núñez, M. (2011). An empirical approach to estimate soil erosion risk in Spain. Science of the Total Environment, 409, 3114–3123.
Mbow, C., Fensholt, R., Rasmussen, K., & Diop, D. (2013). Can vegetation productivity be derived from greenness in a semi-arid environment? Evidence from ground-based measurements. Journal of Arid Environments, 97, 56–65.
Millennium Ecosystem Assessment. (2005). Millennium ecosystem assessment synthesis report. Ecosystems and human well-being: A framework for assessment. Concepts of ecosystem value and validation approaches. Washington, DC: Island Press and World Resources Institute.
Milton, S. J., Dean, W. R. J., du Plessis, M., & Siegfried, W. R. (1994). A conceptual model of arid rangeland degradation. Bioscience, 44, 70–76.
Mortimore, M. J., & Adams, W. M. (2001). Farmer adaptation, change and ‘crisis’ in the Sahel. Global Environmental Change-Human and Policy Dimensions, 11, 49–57.
Mulligan, M. (2015). Computational policy support systems for understanding land degradation effects on water and food security for and from Africa. Land restoration: Reclaiming landscapes for a sustainable future, Elsevier (p. 400). ILLP Publication.
Mulligan, M., Burke, S., & Ogilvie, A. (2015). Much more than simply “desertification”: understanding agricultural sustainability and change in the Mediterranean. In R. Benkhe (Ed.), (pp. x–xx). doi:10.1007/978-3-642-16014-1_8. Berlin: Springer.
Nachtergaele, F. O. F., & Licona-Manzur, C. (2008). The land degradation assessment in drylands (LADA) project: Reflections on indicators for land degradation assessment. In C. C. Lee & T. Schaaf (Eds.), The future of drylands (pp. 327–348). Rome, Italy: UNESCO, Food and Agriculture Organization of the United Nations (FAO).
Nachtergaele, F. O., Petri, M., Biancalani, R., van Lynden, G., van Velthuizen, H., & Bloise, M. (2011). An Information database for land degradation assessment at global level. In Global land degradation information system (GLADIS).
Oldeman, L. R., Hakkeling, R. T. A., & Sombroek, W. G. (1991). World map of the status of human-induced soil degradation: An explanatory note. Global Assessment of Soil Degradation (GLASOD) (2nd ed.). Wageningen Winand Staring Center, International Society for Soil Science, FAO, International Institute for Aerospace Survey and Earth Science.
Oldeman, L. R., & van Lynden, G. W. J. (1996). Revisiting the GLASOD methodology. ISRIC report 1996/03. Wageningen: ISRIC World Soil Information.
Olson, D. M., Dinerstein, E., Wikramanayake, E. D., Burgess, N. D., Powell, G. V. N., Underwood, E. C., et al. (2001). Terrestrial ecoregions of the world: A new map of life on earth. Bioscience, 51, 933.
Olsson, L., Eklundh, L., & Ardö, J. (2005). A recent greening of the Sahel—trends, patterns and potential causes. Journal of Arid Environments, 63, 556–566.
ORNL DAAC. (2015). Oak Ridge National Laboratory Distributed Active Archive Center, http://daac.ornl.gov/index.shtml. Accessed February 15, 2015.
Petschel-Held, G., Block, A., Cassel-Gintz, M., Kropp, J., Lüdeke, M. K. B., Moldenhauer, O., et al. (1999). Syndromes of global change: A qualitative modelling approach to assist global environmental management. Environmental Modeling and Assessment, 4, 295–314.
Pickup, G., & Chewings, V. (1994). A grazing gradient approach to land degradation assessment in arid areas from remotely-sensed data. International Journal of Remote Sensing, 15, 597–617.
Prince, S. D. (1991). Satellite remote sensing of primary production: Comparison of results for Sahelian grasslands 1981–1988. International Journal of Remote Sensing, 12, 1301–1311.
Prince, S. D. (2002). Spatial and temporal scales of measurement of desertification. In M. Stafford-Smith & J. F. Reynolds (Eds.), Global desertification: Do humans create deserts? (pp. 23–40). Berlin: Dahlem University Press.
Prince, S. D., Becker-Reshef, I., & Rishmawi, K. (2009). Detection and mapping of long-term land degradation using local net production scaling: Application to Zimbabwe. Remote Sensing of Environment, 113, 1046–1057.
Prince, S. D., De Colstoun, E. B., & Kravitz, L. L. (1998). Evidence from rain-use efficiencies does not indicate extensive Sahelian desertification. Global Change Biology, 4, 359–374.
Reeves, M. C., & Baggett, L. S. (2014). A remote sensing protocol for identifying rangelands with degraded productive capacity. Ecological Indicators, 43, 172–182.
Reich, P. F., Numbem, S. T., Almaraz, R. A., & Eswaran, H. (2001). Land resource stresses and desertification in Africa. Responses to Land Degradation. Proceedings of the 2nd International Conference on Land Degradation and Desertification, Khon Kaen, Thailand. New Delhi, India: Oxford Press.
Reynolds, J. F., Grainger, A., Stafford Smith, D. M., Bastin, G., Garcia-Barrios, L., Fernández, R. J., et al. (2011). Scientific concepts for an integrated analysis of desertification. Land Degradation and Development, 22, 166–183.
Reynolds, J. F., & Stafford Smith, M. (Eds.). (2002). Global desertification: Do humans create deserts? Berlin: Dahlem University Press.
Reynolds, J. F., Stafford-Smith, D. M., Lambin, E. F., Turner, B. L, I. I., Mortimore, M., Batterbury, S. P. J., et al. (2007). Global desertification: Building a science for dryland development. Science, 316, 847–851.
Rishmawi, K. (2013). Spatial patterns and potential mechanisms of land degradation in the Sahel. Unpublished PhD, University of Maryland.
Robinson, T. P., Francescini, G., & Wint, W. (2007). The Food and Agriculture Organization’s gridded livestock of the world. Veterinaria Italiana, 43, 745–751.
Romm, J. (2011). The next dustbowl. Nature, 478, 450–451.
Safriel, U. (2007). The assessment of global trends in land degradation. In M. V. K. Sivakumar & N. Ndiang’ui (Eds.), Climate and land degradation (pp. 1–38). New York: Springer.
Safriel, U. (2009). Deserts and desertification: Challenges but also opportunities. Land Degradation and Development, 20, 353–366.
Scherr, S. J., & Yadav, S. (1996). Land degradation in the developing world: Implications for food, agriculture, and the environment to 2020. In Food, agriculture, and the environment. International Food Policy Research Institute.
Seaquist, J. W., Hickler, T., Eklundh, L., Ardo, J., & Heumann, B. W. (2009). Disentangling the effects of climate and people on Sahel vegetation dynamics. Biogeosciences, 6(3), 469–477.
SEDAC. (2015). Socioeconomic Data and Applications Center, http://sedac.ciesin.columbia.edu/about. Accessed February 15, 2015.
Sietz, D., Untied, B., Walkenhorst, O., Ludeke, M. K. B., Mertins, G., Petschel-Held, G., & Schellnhuber, H. J. (2006). Smallholder agriculture in Northeast Brazil: Assessing heterogeneous human-environmental dynamics. Regional Environmental Change, 6, 132–146.
Singh, G., Bundela, D. S., Sethi, M., Lal, K., & Kamra, S. K. (2010). Remote sensing and geographic information system for appraisal of salt-affected soils in India. Journal of Environmental Quality, 39, 5–15.
Sonneveld, B. G., & Dent, D. L. (2009). How good is GLASOD? Journal of Environmental Management, 90, 274–283.
Symeonakis, E., & Drake, N. (2004). Monitoring desertification and land degradation over sub-Saharan Africa. International Journal of Remote Sensing, 25, 573–592.
Tamene, L., & Le, Q. B. (2015). Estimating soil erosion in sub-Saharan Africa based on landscape similarity mapping and using the revised universal soil loss equation (RUSLE). Nutrient Cycling in Agroecosystems, 101, 1–15. doi:10.1007/s10705-10015-19674-10709.
Thomas, D. S. G., & Middleton, N. J. (1993). Salinization: new perspectives on a major desertification issue. Journal of Arid Environments, 24, 95–105.
Trabucco, A., & Zomer, R. J. (2009). Global Aridity Index (Global-Aridity) and Global Potential Evapo-Transpiration (Global-PET) Geospatial Database. Published online, available from the CGIAR-CSI GeoPortal at: http://www.csi.cgiar.org
Tucker, C. J., Dregne, H. E., & Newcomb, W. W. (1991). Expansion and contraction of the Sahara desert from 1980 to 1990. Science, 253, 299–301.
Tucker, C. J., Justice, C. O., & Prince, S. D. (1986). Monitoring the grasslands of the Sahel 1984–1985. International Journal of Remote Sensing, 7, 1571–1581.
Tucker, C. J., Pinzon, J. E., Brown, M. E., Slayback, D. A., Pak, E. W., Mahoney, R., et al. (2005). An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data. International Journal of Remote Sensing, 26, 4485–4498.
UNCCD. (1994). Elaboration of an international convention to combat desertification in countries experiencing serious drought and/or desertification, particularly in Africa (p. 58). United Nations General Assembly, 93rd plenary meeting, New York.
UNCED. (1992). Managing fragile ecosystems: combating desertification and drought. In Agenda 21: Earth summit. Rio de Janerio: United Nations Conference on Environment and Development.
UNEP. (1997). World Atlas of Desertification. (2nd ed.). London, New York: Arnold & Wiley, on behalf of UNEP.
UNEP. (2015). United Nations Environment Programme, http://www.unep.org/. Accessed February 7, 2015.
United Nations General Assembly. (2013). Future we want—Outcome document. In Resolution adopted by the General Assembly. United Nations Department of Economic and Social Affairs (DESA).
USGS. (2015). The Land Processes Distributed Active Archive Center (LP DAAC), https://lpdaac.usgs.gov/. Accessed February 7, 2015.
Ustin, S. L., Palacios-Orueta, A., Whiting, M. L., Jacquemoud, S., & Li, L. (2009). Remote sensing based assessment of biophysical indicators for land degradation and deserlification. In R. Hill (Ed.), Recent advances in remote sensing and geoinformation processing for land degradation assessment (pp. 15–44). London: Taylor & Francis Group.
Verón, S. R., Paruelo, J. M., & Oesterheld, M. (2006). Assessing desertification. Journal of Arid Environments, 66, 751–763.
Vogt, J. V., Safriel, U., Von Maltitz, G., Sokona, Y., Zougmore, R., Bastin, G., & Hill, J. (2011). Monitoring and assessment of land degradation and desertification: Towards new conceptual and integrated approaches. Land Degradation and Development, 22, 150–165.
Warren, A. (2002). Land degradation is contextual. Land Degradation and Development, 13, 449–459.
Wessels, K. J. (2009). Comments on ‘Proxy global assessment of land degradation’ by Bai et al. (2008). Soil Use and Management, 25, 91–92.
Wessels, K. J., Prince, S. D., Carroll, M., & Malherbe, J. (2007a). Relevance of rangeland degradation in semiarid northeastern South Africa to the nonequilibrium theory. Ecological Applications, 17, 815–827.
Wessels, K. J., Prince, S. D., Malherbe, J., Small, J., Frost, P. E., & VanZyl, D. (2007b). Can human-induced land degradation be distinguished from the effects of rainfall variability? A case study in South Africa. Journal of Arid Environments, 68, 271–297.
Wessels, K. J., Prince, S. D., & Reshef, I. (2008). Mapping land degradation by comparison of vegetation production to spatially derived estimates of potential production. Journal of Arid Environments, 72, 1940–1949.
Wessels, K. J., van den Bergh, F., & Scholes, R. J. (2012). Limits to detectability of land degradation by trend analysis of vegetation index data. Remote Sensing of Environment, 125, 10–22.
Whitlow, R. (1988). Land degradation in Zimbabwe. Harare: Department of Natural Resources, Government of Zimbabwe/Department of Geography, University of Zimbabwe.
Wildlife Conservation Society (WCS) and Center for International Earth Science Information Network (CIESIN). (2005). Last of the Wild Project, (LWP-2): Global Human Influence Index (HII) Dataset. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC), Columbia University.
Zika, M., & Erb, K. H. (2009). The global loss of net primary production resulting from human-induced soil degradation in drylands. Ecological Economics, 69(2), 310–318.
Zucca, C., & Biancalani, R. (2011). Guidelines for the use of the LADA QM DB in the frame of the “National Piloting of provisional UNCCD impact indicators” (p. 24), LADA FAO.
Zucca, C., Della Peruta, R., Salvia, R., Sommer, S., & Cherlet, M. (2012). Towards a world desertification atlas. Relating and selecting indicators and data sets to represent complex issues. Ecological Indicators, 2012, 157–170.
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Dr. K. Rishmawi, Jeremy Stanfield and Hasan Jackson assisted with the map comparisons.
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Prince, S.D. (2016). Where Does Desertification Occur? Mapping Dryland Degradation at Regional to Global Scales. In: Behnke, R., Mortimore, M. (eds) The End of Desertification? . Springer Earth System Sciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16014-1_9
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