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Spatial relationships between above-ground biomass and bird species biodiversity in Palawan, Philippines

机译:菲律宾巴拉望岛地上生物量与鸟类物种多样性之间的空间关系

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摘要

This study maps distribution and spatial congruence between Above-Ground Biomass (AGB) and species richness of IUCN listed conservation-dependent and endemic avian fauna in Palawan, Philippines. Grey Level Co-Occurrence Texture Matrices (GLCMs) extracted from Landsat and ALOS-PALSAR were used in conjunction with local field data to model and map local-scale field AGB using the Random Forest algorithm (r = 0.92 and RMSE = 31.33 Mg·ha-1). A support vector regression (SVR) model was used to identify the factors influencing variation in avian species richness at a 1km scale. AGB is one of the most important determinants of avian species richness for the study area. Topographic factors and anthropogenic factors such as distance from the roads were also found to strongly influence avian species richness. Hotspots of high AGB and high species richness concentration were mapped using hotspot analysis and the overlaps between areas of high AGB and avian species richness was calculated. Results show that the overlaps between areas of high AGB with high IUCN red listed avian species richness and endemic avian species richness were fairly limited at 13% and 8% at the 1-km scale. The overlap between 1) low AGB and low IUCN richness, and 2) low AGB and low endemic avian species richness was higher at 36% and 12% respectively. The enhanced capacity to spatially map the correlation between AGB and avian species richness distribution will further assist the conservation and protection of forest areas and threatened avian species.
机译:这项研究绘制了菲律宾巴拉望岛(IUCN)列出的自然保护区和特有禽类动物的地上生物量(AGB)与物种丰富度之间的分布和空间一致性。从Landsat和ALOS-PALSAR提取的灰度共现纹理矩阵(GLCM)与本地数据结合使用,使用随机森林算法(r = 0.92和RMSE = 31.33 Mg·ha -1 )。使用支持向量回归(SVR)模型来确定影响1 km规模禽类物种丰富度变化的因素。 AGB是研究区域鸟类物种丰富度的最重要决定因素之一。还发现地形因素和人为因素(例如距道路的距离)对鸟类物种丰富度有很大影响。使用热点分析绘制高AGB和高物种丰富度浓度的热点,并计算高AGB和禽类丰富度区域之间的重叠。结果表明,在1公里范围内,高AGB和IUCN红色名录鸟类物种丰富度与地方性鸟类物种丰富度之间的重叠相当有限,分别为13%和8%。 1)低AGB和低IUCN丰富度与2)低AGB和低地方性禽类丰富度之间的重叠分别较高,分别为36%和12%。在空间上绘制AGB和鸟类物种丰富度分布之间的相关性的能力得到增强,这将进一步有助于森林地区和受威胁鸟类物种的保护和保护。

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