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Spatial heterogeneity of ecological footprint of production: a district-level study of Bangladesh

机译:生态生产的空间异质性:孟加拉国的地区级研究

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In an era of environmental degradation, resource extraction needs to be restricted in proportion to natural capital's regenerative capacity to nullify ecological overshoot. An investigation into spatial heterogeneity of 'Ecological Footprint of Production' (EFp) helps to examine spatial variation of human demand on nature due to production purposes. This study focuses on spatial variation in environmental impact of resource extraction by estimating EFp values for all 64 districts of Bangladesh. EFp is spatially varied across six land types in the following ranges 0.016-0.502 gha/capita for cropland; 0.016-0.637 gha/capita for grazing land; 0.004-0.194 gha/capita for fishing ground; 0.000-0.187 gha/capita for forest land; 0.00009-0.011 gha/capita for built-up land; and 0.000-1.192 gha/capita for carbon uptake land. Moreover, in this study, regions are delineated based on EFp values of six land types using ArcGIS-based standard deviation classification method. The region having the highest total EFp is located at the central-east part of Bangladesh. Among six types of land uses, cropland, grazing land and carbon uptake land contributed most in total EFp. Multiple linear regression modeling showed that population employed in service sector drives total EFp (gha) in negative direction and district population drives it in positive direction. Spatially segregated policy directions are recommended for restricting EFp to ensure reduced environmental degradation and increased production-based sustainability. Therefore, to promote sustainable sectoral enhancement plans and policies, this investigation facilitates regional policy guidelines based on sectoral magnitude of resource extraction.
机译:在环境退化时代,资源提取需要与自然资本的再生能力成比例地限制,以便无效生态过冲。对“生产生态足迹”(EFP)的空间异质性的调查有助于通过生产目的来检查人类对自然需求的空间变化。本研究专注于通过估算所有64个孟加拉国地区的EFP价值来提取资源提取的环境影响的空间变化。 efp在以下六种土地类型中随空变化,以下范围为0.016-0.502 GHA / CAPITA for Rocingland; 0.016-0.637 Gha / Capita放牧土地; 0.004-0.194渔场的GHA / CAPITA; 0.000-0.187林地GHA / CAPITA; 0.00009-0.011为建筑陆地GHA / CAPITA;和0.000-1.192 GHA / CAPITA用于碳摄取土地。此外,在本研究中,基于基于ArcGIS的标准偏差分类方法基于六种土地类型的EFP值描绘区域。拥有最高EFP的地区位于孟加拉国的中东部分。在六种类型的土地使用中,农田,放牧土地和碳摄取土地最多贡献了总体EFP。多个线性回归建模表明,在负方向和地区人口中,服务部门所采用的人数驱动总EFP(GHA)在积极方向上将其驱动。建议限制EFP的空间隔离政策方向,以确保降低环境退化和增加的基于生产的可持续性。因此,为了促进可持续的部门增强计划和政策,这项调查促进了基于资源提取部门的区域政策指导方针。

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