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基于地理探测器的[空间分布与栖息地因子的相关性]

[Correlation of spatial distribution and habitat factors of based on GeoDetector].

作者信息

Wu Jia-Rong, Wei Bao-Jing, Hu Xi-Jun, Zhu Man-le, Li Rui-Zhi, Feng Xue-Chen

机构信息

School of Landscape Architecture, Central South University of Forestry and Technology, Changsha 410000, China.

出版信息

Ying Yong Sheng Tai Xue Bao. 2020 Aug;31(8):2671-2679. doi: 10.13287/j.1001-9332.202008.018.

Abstract

is an endemic species of Danxia landform in China. Identifying the main driving factors of its distribution can provide scientific basis for the conservation of and related habitats. With GeoDetector, we analyzed the correlation (measured by value) between the spatial distribution of and its habitat factors in Nature Reserve in Nanxiong City and the Guangdong Danxia Mountain Tourism Scenic Area (core scenic area). Factors measured in this study included geographical elements (geomorphological type, soil subtype, elevation, slope, aspect) and climatic elements (annual precipitation and annual sunshine hours, mean annual relative humidity and mean annual wind speed). Our results showed that the main habitat factors affecting the spatial distribution of were soil subtype, annual sunshine hours, and geomorphologic genesis type. The values of those three factors were higher than the mean values of all factors. In the pairwise combination of habitat factors, the interaction between geomorphologic genesis types ∩ annual sunshine hours and soil subtypes ∩ annual sunshine hours was enhanced by two factors and the value was greater than the mean value of all combinations, with a strong correlation. Compared with other factors, the value of soil subtypes, annual sunshine hours and geomorphologic genesis types were significantly different in the ecological detection of spatial distribution correlation of . The spatial distribution of was significantly correlated with soil subtypes, geomorphologic genesis types and annual sunshine hours, indicating that the GeoDetector is a useful method for vegetation habitat factor analysis and species distribution prediction.

摘要

是中国丹霞地貌的特有物种。确定其分布的主要驱动因素可为该物种及相关栖息地的保护提供科学依据。利用地理探测器,我们分析了南雄市自然保护区和广东丹霞山旅游风景区(核心景区)内该物种的空间分布与其栖息地因素之间的相关性(以值衡量)。本研究中测量的因素包括地理要素(地貌类型、土壤亚型、海拔、坡度、坡向)和气候要素(年降水量、年日照时数、年平均相对湿度和年平均风速)。我们的结果表明,影响该物种空间分布的主要栖息地因素是土壤亚型、年日照时数和地貌成因类型。这三个因素的值高于所有因素的平均值。在栖息地因素的两两组合中,地貌成因类型∩年日照时数和土壤亚型∩年日照时数之间的相互作用因两个因素而增强,值大于所有组合的平均值,具有很强的相关性。与其他因素相比,在该物种空间分布相关性的生态检测中,土壤亚型、年日照时数和地貌成因类型的值有显著差异。该物种的空间分布与土壤亚型、地貌成因类型和年日照时数显著相关,表明地理探测器是一种用于植被栖息地因素分析和物种分布预测的有用方法。

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