家庭花园树木密度的地理空间和社会经济评估——作为农业生态区森林外树木来源:斯里兰卡上Mahaweli流域

H. Hearath, D. D. A. Pushpakumara, M. Hewson, P. Wickramagamage
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引用次数: 0

摘要

家庭花园(HG)是重要的“森林来源外树木”(TOFS)系统,抵消了过去两个世纪马哈韦利上游流域(UMC)大规模砍伐造成的树木覆盖损失。本研究考察了在UMC边界内HGs与农业生态区(AERs)的时间和空间分布,评估了HGs的树木密度,并分析了影响树木密度的生物物理和社会经济因素。地理空间评估利用陆地卫星图像,树木密度估计基于UMC中500个HG的随机样本,最小乳高直径(dbh)>10cm。采用回归分析法确定影响树木密度的因素。空间评估显示,2017年,IM3a的AER覆盖率最高(66.5%),而IM1a的增量百分比变化最大(22.8%),而IL2的变化最小(0.03%)。IU2的树木密度最高(858棵/公顷),WM2a的平均密度为505棵/公顷,可与南亚热带雨林相媲美。然而,令人担忧的是,外来物种的快速传播趋势导致了IU2、WM2a和IU3d中观察到的高树木密度。多元线性回归模型(p<0.01,R2=58.62%)表明,空间、农艺和制度因素对树木密度有积极影响。相反,HG面积平方和人口因素对树木多样性有显著的负面影响(p<0.01)。为了确保UMC的生态可持续性,该研究建议引入适当的激励方案,以提高HG的树木密度,并增加本地物种。
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A Geospatial and Socio-economic Assessment of Tree Density in Home Gardens as Trees Outside Forests Sources in Agro-ecological Regions: Upper Mahaweli Catchment, Sri Lanka
Homegardens (HGs) serve as crucial 'Trees Outside Forest Sources' (TOFS) systems, offsetting tree cover loss resulting from extensive deforestation in the Upper Mahaweli Catchment (UMC) over the past two centuries. This study examined the temporal and spatial distribution of HGs in relation to agro-ecological regions (AERs) within the UMC boundary, assessed the tree density of HGs, and analyzed the biophysical and socio-economic factors influencing tree density. Geospatial assessment utilized Landsat Images and tree density estimation was based on a random sample of 500 HGs in the UMC with a minimum diameter at breast height (dbh) of >10cm. Regression analysis was employed to identify factors affecting tree density. The spatial assessment revealed that in 2017, the AER of IM3a covered the highest percentage area (66.5%) whereas IM1a recorded the greatest incremental percentage change (22.8%) from 1992-2017, while the lowest change was observed in IL2 (0.03%). The highest tree density was observed in IU2 (858 trees/ha), and the average density in WM2a (505 trees/ha), comparable to that of South-Asian tropical rainforests. However, there is a concerning trend of rapid spread of exotic species contributing to the high tree density observed in IU2, WM2a, and IU3d. The multiple linear regression model (p<0.01, R2 = 58.62%) indicated spatial, agronomic and institutional factors positively influenced tree density. Conversely, the HG area square, and demographic factors had a significant negative impact on tree diversity (p<0.01). To ensure the ecological sustainability of the UMC, the study proposes to introduce an appropriate incentive package to enhance tree density in HGs, with native species.
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