Literature DB >> 26350794

Spatio-temporal assessment of soil erosion risk in different agricultural zones of the Inle Lake region, southern Shan State, Myanmar.

Thin Nwe Htwe1, Katja Brinkmann, Andreas Buerkert.   

Abstract

Myanmar is one of Southeast Asia's climatically most diverse countries, where sheet, rill, and gully erosion affect crop yields and subsequently livelihood strategies of many people. In the unique wetland ecosystem of Inle Lake, soil erosion in surrounding uplands lead to sedimentation and pollution of the water body. The current study uses the Revised Universal Soil Loss Equation (RUSLE) to identify soil erosion risks of the Inle Lake region in space and time and to assess the relationship between soil erosion and degradation for different agricultural zones and cropping systems. Altogether, 85% of soil losses occurred on barren land along the steep slopes. The hotspot of soil erosion risk is situated in the western uplands characterized by unsustainable land use practices combined with a steep topography. The estimated average soil losses amounted to 19.9, 10.1, and 26.2 t ha(-1) yr(-1) in 1989, 2000, and 2009, respectively. These fluctuations were mainly the results of changes in precipitation and land cover (deforestation (-19%) and expansion of annual cropland (+35%) from 1989 to 2009). Most farmers in the study area have not yet adopted effective soil protection measures to mitigate the effects of soil erosion such as land degradation and water pollution of the lake reservoir. This urgently needs to be addressed by policy makers and extension services.

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Year:  2015        PMID: 26350794     DOI: 10.1007/s10661-015-4819-5

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  7 in total

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2.  Effect of land use land cover change on soil erosion potential in an agricultural watershed.

Authors:  Arabinda Sharma; Kamlesh N Tiwari; P B S Bhadoria
Journal:  Environ Monit Assess       Date:  2010-03-25       Impact factor: 2.513

3.  Adapting the RUSLE and GIS to model soil erosion risk in a mountains karst watershed, Guizhou Province, China.

Authors:  Xu Yue-Qing; Shao Xiao-Mei; Kong Xiang-Bin; Peng Jian; Cai Yun-Long
Journal:  Environ Monit Assess       Date:  2007-09-19       Impact factor: 2.513

4.  Quantification and site-specification of the support practice factor when mapping soil erosion risk associated with olive plantations in the Mediterranean island of Crete.

Authors:  Christos G Karydas; Tijana Sekuloska; Georgios N Silleos
Journal:  Environ Monit Assess       Date:  2008-03-05       Impact factor: 2.513

5.  Environmental and economic costs of soil erosion and conservation benefits.

Authors:  D Pimentel; C Harvey; P Resosudarmo; K Sinclair; D Kurz; M McNair; S Crist; L Shpritz; L Fitton; R Saffouri; R Blair
Journal:  Science       Date:  1995-02-24       Impact factor: 47.728

6.  Simulation of soil loss processes based on rainfall runoff and the time factor of governance in the Jialing River Watershed, China.

Authors:  Lei Wu; Tian-Yu Long; Xia Liu; Daniel Mmereki
Journal:  Environ Monit Assess       Date:  2011-07-15       Impact factor: 2.513

7.  Soil erodibility in Europe: a high-resolution dataset based on LUCAS.

Authors:  Panos Panagos; Katrin Meusburger; Cristiano Ballabio; Pasqualle Borrelli; Christine Alewell
Journal:  Sci Total Environ       Date:  2014-02-21       Impact factor: 7.963

  7 in total
  2 in total

1.  Spatial and temporal estimation of soil loss for the sustainable management of a wet semi-arid watershed cluster.

Authors:  R Rejani; K V Rao; M Osman; Ch Srinivasa Rao; K Sammi Reddy; G R Chary; Josily Samuel
Journal:  Environ Monit Assess       Date:  2016-02-04       Impact factor: 2.513

2.  A global view of shifting cultivation: Recent, current, and future extent.

Authors:  Andreas Heinimann; Ole Mertz; Steve Frolking; Andreas Egelund Christensen; Kaspar Hurni; Fernando Sedano; Louise Parsons Chini; Ritvik Sahajpal; Matthew Hansen; George Hurtt
Journal:  PLoS One       Date:  2017-09-08       Impact factor: 3.240

  2 in total

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