Tree suitability modeling and mapping in Nepal: a geospatial approach to scaling agroforestry

作者: Firoz Ahmad , Md Meraj Uddin , Laxmi Goparaju , Shiv Kumar Dhyani , Bishwa Nath Oli

DOI: 10.1007/S40808-020-00922-7

关键词:

摘要: Trees provide a wide range of benefits and have the potential to meet majority United Nations Sustainable Development Goals. The study used different geospatial datasets land, soil, climate topography for modeling mapping identifying potentially suitable area trees in Nepal. Additionally, tree suitability categories cover presence were examined existing agricultural landscape various ecological zones Nepal understand both dominance trends. overall analysis land potentiality revealed that 18.9%, 12.8% 68.3% total are considered low (  10%). Similarly, 67.7% hilly which has greater than 70% 49.2% (> 10%). mountain regions retain snow most year, with undulating terrain, roughly 28.1% 60% 22.9% area, including rainfed irrigated croplands, was reported be approximately 24% country’s geographical landscape. One-third this comprises cropland; 83% cropland areas exhibit over suitability. prioritized/ranked 862 villages as having more 80% trees; could harnessed integrated agroforestry practices. findings addressed one important research gaps toward Moreover, it supports Nepal’s National Agroforestry Policy goals is development, expansion commercialization systems would contribute national prosperity.

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