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Mapping natural resource collection areas from household survey data in Southern Africa
Applied Geography ( IF 4.0 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.apgeog.2020.102326
Karen M. Bailey , Michael D. Drake , Jon Salerno , Lin Cassidy , Andrea E. Gaughan , Forrest R. Stevens , Narcisa G. Pricope , Kyle D. Woodward , Henry Maseka Luwaya , Joel Hartter

Abstract As conservation landscapes are threatened by global change, there is a growing need to understand relationships between human livelihoods and environmental processes. This often involves integrating multiple data sources capturing different scales of measurement. Participatory methods have emerged as a means to accomplish this, but are hampered by a wide range of challenges associated with data collection and translation. Here, we present a novel methodology for mapping human use of natural resources that overcomes many of the difficulties faced in participatory mapping. Based in the world's largest terrestrial transfrontier conservation area, we couple household surveys with in-situ fine-scale mapping to identify key resource areas that support local livelihoods. This allows for a spatially referenced human use ‘footprint’ that can be combined with remotely-sensed data measuring environmental impact. This methodology is applicable across contexts and has implications for landscape management and conservation.

中文翻译:

根据南部非洲的住户调查数据绘制自然资源收集区图

摘要 由于保护景观受到全球变化的威胁,越来越需要了解人类生计与环境过程之间的关系。这通常涉及集成多个数据源以获取不同的测量尺度。参与式方法已成为实现这一目标的一种手段,但受到与数据收集和翻译相关的各种挑战的阻碍。在这里,我们提出了一种绘制人类对自然资源使用情况的新方法,该方法克服了参与式制图面临的许多困难。我们位于世界上最大的陆地跨界保护区,将住户调查与原位精细地图相结合,以确定支持当地生计的关键资源区域。这允许将空间参考人类使用“足迹”与测量环境影响的遥感数据相结合。这种方法适用于各种环境,对景观管理和保护有影响。
更新日期:2020-12-01
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