Identifying characteristics of households affected by deforestation in their fuelwood and non-timber forest product collections: Case study in Kampong Thom Province, Cambodia
Identifying characteristics of households affected by deforestation in their fuelwood and non-timber forest product collections: Case study in Kampong Thom Province, Cambodia
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确定受薪柴和非木材林产品收藏中森林砍伐影响的家庭的特征：柬埔寨磅同省的案例研究
DOI：
10.1016/j.landusepol.2015.12.006
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发表时间：
2016
期刊：
影响因子：
7.1
通讯作者：
Chivin Leng
中科院分区：
文献类型：
--
作者：
Makoto Ehara;Kimihiko Hyakumura;Hisako Nomura;Toshiya Matsuura,Heng Sokh;Chivin Leng
这项研究探讨了柬埔寨王国磅通省的薪材和非木材林产品(NTFP)采集品中受森林砍伐影响的家庭的特点，那里的热带低地森林的规模正在缩小，主要原因是农业综合企业的发展和农业。通过对森林覆盖变化的卫星图像解译，圈定了森林砍伐面积。对三个区内六个村庄的161户居民进行了问卷调查，这些家庭的人均森林覆盖率在5年内发生了不同程度的变化。使用广义线性混合模型分析了受森林砍伐影响的家庭的薪材和非森林生产资料的特征。这些特征随着所检查的收集活动的不同而不同，无论是薪材收集还是NTFP收集。我们发现，森林砍伐明显影响到非森林薪材来源稀缺的村民。如果村庄附近的人均剩余森林面积较小，在森林砍伐后收集薪材的人更有可能受到影响。相比之下，对于收集非森林生产资料而言，村庄附近人均毁林面积的大小比剩余森林面积的大小更重要，特别是对于那些在砍伐森林之前依赖收集非森林生产资料作为其主要生计活动之一的人。与许多文献表明穷人更多地依赖非净要素生产率相反，我们的结果表明，家庭财富与非净要素生产率依赖之间的关系不仅仅是一个简单的负相关关系；即，在我们的非净要素生产率模型中，当地人民的物质财富并不是一个很强的决定因素。在涉及土地利用变化的影响评估和自然资源管理中，利益攸关方分析和与当地居民协商的重要性已逐渐在学术文献中得到承认。在这方面，我们认为，有必要根据当地居民的薪材和NTFP收集品，在短期内确定可能受影响的群体，并在省级广泛分布。我们的调查结果、采用的方法和柬埔寨现有的人口调查网络相结合，提供了一种以透明方式识别受影响居民的方法。
This study explored characteristics of households affected by deforestation in their fuelwood and non-timber forest product (NTFP) collections in Kampong Thom Province, Kingdom of Cambodia, where tropical lowland forests are decreasing in size owing mainly to agribusiness development and farming. Deforested areas were delineated by satellite image interpretation of forest cover change. A questionnaire survey was conducted for 161 households in six villages within three districts having varying degrees of forest cover changes per capita over a period of 5 years. Generalized linear mixed models were used to analyze characteristics of households affected by deforestation in their fuelwood and NTFP collections. The characteristics vary with the collection activity examined, either fuelwood or NTFP collection. We revealed that deforestation notably affects villagers whose non-forest fuelwood sources are scarce. People who collected fuelwood in forests after deforestation are more likely to be affected if the remaining forest area per capita near their village is less. In contrast, for NTFP collection, the size of the deforested area per capita near villages is more important than that of the remaining forest area, particularly to those who depend on NTFP collection as one of their main livelihood activities before deforestation. In contrast with much of the literature that has stated that the poor depend more on NTFPs, our results show that the relationship between household wealth and NTFP dependence was more than a simple negative correlation; i.e., the local people's material wealth was not a strong determinant in our NTFP model. The importance of stakeholder analysis and consultation with local residents in impact assessments and natural resource management involving land-use changes has been progressively acknowledged in the academic literature. In this context, we argue that it is essential to identify potentially affected groups among local residents in terms of their fuelwood and NTFP collections in a short-term period widely distributed at the provincial level. The combination of our findings, method applied and existing demographic survey networks in Cambodia provides an approach of identifying the affected residents in a transparent manner.