Abstract
Climate change scenarios predict an increase in the frequency of heavy rainfall events in some areas. This will increase runoff and soil erosion, and reduce agricultural productivity, particularly on vulnerable mountainous agricultural lands that is already exhibiting high rates of soil erosion. Haphazard implementation of soil and water conservation (SWC) interventions on scattered fields is inefficient in reducing soil erosion. The objective of this study was to identify areas at high risk of erosion to aid the design and implementation of sustainable SWC using GIS analysis and farmers’ participation approach. A 25 m digital elevation model (DEM) was used to derive layers of flow accumulation, slope steepness and land curvature, which were used to derive an erosion-risk (priority) map for the whole watershed. Boundaries of farmers’ fields were mapped and verified by the community and each field was classified into high, moderate or low erosion risk. Fields with low flow accumulation (top of hill) and/or steep slope and/or convex slope were assigned high erosion risk and therefore high implementation priority. The study showed that more than 64% of the fields were classified into high erosion risk areas. Accordingly, a community-watershed plan was established, revised and approved by the community. Incentive loans to implement SWC measures were distributed to 100 farmers based on the priorities of their fields. Judged by local farmers and using 16 randomly selected fields, 90% of the targeted areas were correctly identified using the erosion risk map. After two years, the conservation measures had led to marked improvement of soil conservation. The approach is simple and easy to comprehend by the community and provides scientific basis to prioritize the implementation of SWC and to target the most degraded areas, which amplify the impact of these in reducing the vulnerability to land degradation.
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References
Bakker MM, Govers G, Jones RA, et al. (2007). The effect of soil erosion on Europe’s crop yields. Ecosystems 10: 1209–1219. DOI: 10.1007/s10021-007-9090-3.
Barneveld RJ, Bruggeman A, Sterk G, et al. (2009). Comparison of two methods for quantification of tillage erosion rates in olive orchards of North-West Syria. Soil & Tillage Research 103(1): 105–112. DOI: 10.1016/j.still.2008.09.006.
Beaufoy G (2001) The environmental impact of olive oil production in the European Union: practical options for improving the environmental impact. European Commission, Brussels, Belgium. pp 1–73.
Boggs G, Devonport C, Evans K, et al. (2001) GIS-based rapid assessment of erosion risk in a small catchment in the wet/dry tropics of Australia. Land Degradation & Development 12: 417–434. DOI: 10.1002/ldr.457.
Bruggeman A, McCann I, Pala M, et al. (2005). Improved decision making for deficit irrigation of wheat in northern Syria. Written for presentation at the 2005 ASAE Annual International Meeting Sponsored by ASAE, Tampa Convention Center, Tampa, Florida, USA, 17–20 July 2005.
Cao S, Lee Kt, Ho J, et al. (2010) Analysis of runoff in ungauged mountain watersheds in Sichuan, China using Kinematicwave-based GIUH Model. Journal of Mountain Science 7: 157–166. DOI: 10.1007/s11629-010-0256-7.
De-Pauw E (2001) Review of work at the Yakhour experimental site, stabilization of marginal steeplands in northern Syria. Report to INIA. Aleppo, Syrian Arab Republic, ICARDA.
De Pauw E, Oberle A, Zoebisch M (2004) Overview of land cover and land use in Syria: base year 1989/1990. Asian Institute of Technology, Klong Luang, Thailand.
ESRI, Environmental Systems Research Institute (2004) ArcGIS 9: Using ArcGIS geostatistical analyst. ESRI, Redlands, California, USA.
Essa S (2004) GIS modeling of land degradation in Northern Jordan using Landsat imagery. Available online: http://www.isprs.org/istanbul2004/comm4/papers/401.pdf (Accessed on 1 October 2012).
GEO Data Portal (2007) UNEP’s online core database with national, sub-regional, regional and global statistics and maps, covering environmental and socio-economic data and indicators. United Nations Environment Programme, Geneva, Switzerland. Available online: http://www.unep.org/geo/data or http://geodata.grid.unep.ch (Accessed on 13 February 2013)
IPCC (2007) Climate change 2007. The Physical Science Basis, Summary for Policymakers. Contribution of Working Group 1 to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Geneva, Switzerland.
Istvánovics V (2009) Eutrophication of lakes and reservoirs. In: Likens GE (Ed.), Encyclopedia of Inland Waters. Academic Press, London, UK. pp 157–165. DOI: 10.1016/B978-012370626-3.00141-1
Kessler CA, Stroosnijder L (2006) Land degradation assessment by farmers in Bolivian mountain valleys. Land Degradation & Development 17: 235–248. DOI: 10.1002/ldr.699
Kirkby MJ, Bracken LJ (2009). Gully processes and gully dynamics. Earth Surface Processes and Landforms 34: 1841–1851. DOI: 10.1002/esp.1866.
Kosmas CS, Moustakas N, Danalatos NG, et al. (1996) The Spata Field Site: I. The impacts of land use and management on soil properties and erosion. II. The effects of reduced moisture on soil properties and wheat production. In: Brandt J, Thornes J (Eds.), Mediterranean Desertification and Land use. John Wiley & Sons, Ltd., Chichester, USA. pp 207–228.
Li J, Wen A, Long Y, et al. (2013) Using 137Cs tracing methods to estimate soil redistribution rates and to construct a sediment budget for a small agricultural catchment in the three gorges reservoir region, China. Journal of Mountain Science 10: 428–436. DOI: 10.1007/978-94-009-7290-2_5.
Louis Berger International (1982) Land Classification/soil Survey Project of the Syrian Arab Republic. Volume 2 (Reconnaissance soil survey of Syria, 1: 500,000). Louis Berger International, inc, South Dakota State University. Remote Sensing Institute, USA. Agency for International Development, Syria.
Martinez-Casasnovas JA (2003) A spatial information technology approach for the mapping and quantification of gully erosion. Catena 50: 293–308. DOI: 10.1016/S0341-8162(02)00134-0.
MEA, Millennium Ecosystem Assessment (2005) Living beyond Our Means. Natural Assets and Human Well-being. Island press, Washington, DC, USA.
Mehnatkesh A, Ayoubi S, Jalalian A, et al. (2013) Relationships between soil depth and terrain attributes in a semi arid hilly region in western Iran. Journal of Mountain Science 10: 163–172. DOI: 10.1007/s11629-013-2427-9.
Móga J, Kiss K, Szabó M, et al. (2013) Hazards and landscape changes (degradations) on Hungarian karst mountains due to natural and human effects. Journal of Mountain Science 10: 16–28. DOI: 10.1007/s11629-013-2400-7
Olive Bureau. 2001. Olive Bureau Statistics. Ministry of Agriculture and Agrarian Reforms, Syrian Arab Republic.
Poesen JWA, Hooke JM (1997). Erosion, flooding and channel management in Mediterranean environments of southern Europe. Progress in Physical Geography — Research Gate 21: 157–199. DOI: 10.1177/030913339702100201
Raglione M, Toscano P, Angelini R, et al. (1999) Olive yield and soil loss in hilly environment of Calabria (Southern Italy). Influence of permanent cover crop and ploughing. International Meeting on Soils with Mediterranean Type of Climate, 4–9 July 1999, Barcelona, Spain.
Raoofi M, Refahi H, Jalali N, et al. (2004) A study of the efficiency of digital processing methods of satellite images to map and locate soil erosion. Iranian Journal of Agricultural Sciences 35(4): 797–807.
Rejaur Rahman M, Shi ZH, Chongfa C (2009) Soil erosion hazard evaluation — An integrated use of remote sensing, GIS and statistical approaches with biophysical parameters towards management strategies. Ecological Modelling 220: 1724–1734. DOI: 10.1016/j.ecolmodel.2009.04.004
Rhoades R (1998) Participatory Watershed Research and Management: Where the Shadow Falls. Gatekeeper Series, No. SA81. International Institute for Environment and Development, London, UK.
Singh G, Babu R, Narain P, et al. (1992) Soil erosion rates in India. Journal of Soil and Water Conservation 47: 97–99.
Tombesi A, Michelakis N, Pastor M (1996) Recommendations of the working group on olive farming production techniques and productivity. Olivae 63: 38–51.
Valentin C, Poesen J, Li Y (2005) Gully erosion: impacts, factors and control. Catena 63: 132–153. DOI: 10.1016/j.catena.2005.06.001.
Wander MM, Drinkwater LE (2000) Fostering soil stewardship through soil quality assessment. Applied Soil Ecology 15: 61–73. DOI: 10.1016/S0929-1393(00)00072-X
Yang D, Kanae S, Oki T, et al. (2003) Global potential soil erosion with reference to land use and climate changes. Hydrological Processes 17: 2913–2928. DOI: 10.1002/hyp.1441
Ygarden L (2003) Rill and gully development during an extreme winter runoff event in Norway. Catena 50: 217–242. DOI: 10.1016/S0341-8162(02)00138-8.
Yilmaz OY, Sevgi O, Tecimen HB, et al. (2012) Land use pattern at Alacam mountainous range land (submediterranean-Turkey) due to edaphic and physiographical factors. Journal of Environmental Biology 33(Suppl. 2): 355–61.
Ypsilantis WG (2011) Upland soil erosion monitoring and assessment: An overview. Tech Note 438. Bureau of Land Management, National Operations Center, Denver, USA.
Ziadat F, Oweis T, Al-Wadaey A, et al. (2013) Soil conservation and water harvesting packages to improve community livelihoods and fight land degradation in the mountains of Syria. Technical Report, International Center for Agricultural Research in the Dry Areas (ICARDA), Amman, Jordan.
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Al-Wadaey, A., Ziadat, F. A participatory GIS approach to identify critical land degradation areas and prioritize soil conservation for mountainous olive groves (case study). J. Mt. Sci. 11, 782–791 (2014). https://doi.org/10.1007/s11629-013-2827-x
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DOI: https://doi.org/10.1007/s11629-013-2827-x