首页> 外文期刊>Ambio: A Journal of the Human Environment >Ecological dissimilarity among land-use/land-cover types improves a heterogeneity index for predicting biodiversity in agricultural landscapes
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Ecological dissimilarity among land-use/land-cover types improves a heterogeneity index for predicting biodiversity in agricultural landscapes

机译:土地使用/陆地覆盖类型之间的生态异质性改善了预测农业景观生物多样性的异质性指标

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摘要

Land-use/land-cover heterogeneity is among the most important factors influencing biodiversity in agricultural landscapes and is the key to the conservation of multi-habitat dwellers that use both terrestrial and aquatic habitats. Heterogeneity indices based on land-use/land-cover maps typically do not integrate ecological dissimilarity between land-use/land-cover types. Here, we applied the concept of functional diversity to an existing land-use/land-cover diversity index (Satoyama index) to incorporate ecological dissimilarity and proposed a new index called the dissimilarity-based Satoyama index (DSI). Using Japan as a case study, we calculated the DSI for three land-use/land-cover maps with different spatial resolutions and derived similarity information from normalized difference vegetation index values. The DSI showed better performance in the prediction of Japanese damselfly species richness than that of the existing index, and a higher correlation between the index and species richness was obtained for higher resolution maps. Thus, our approach to improve the land-use/land-cover diversity index holds promise for future development and can be effective for conservation and monitoring efforts.
机译:土地使用/陆地覆盖异质性是影响农业景观生物多样性的最重要因素之一,是保护陆地和水生栖息地的多栖息地居民保护的关键。基于土地使用/陆地覆盖地图的异质性指数通常不会整合土地使用/陆地覆盖类型之间的生态异化。在这里,我们将功能多样性的概念应用于现有的土地利用/陆地覆盖分集指数(Satoyama指数),以纳入生态异化,并提出了一种称为不相似的Satoyama指数(DSI)的新指数。使用日本作为一个案例研究,我们计算了具有不同空间分辨率的三个土地使用/陆地覆盖地图的DSI,并从归一化差异植被指数值中派生的相似性信息。 DSI在预测日本叶片中的丰富性比现有指数的预测方面表现出更好的性能,并且获得了较高分辨率的地图的指数和物种之间具有更高的相关性。因此,我们改善土地利用/陆地覆盖多样性指数的方法持有未来发展的承诺,可有效地保护和监测努力。

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