生态质量的时空变化及其对森林景观连通性的响应--从景观结构和功能连通性的角度进行的研究

Forests Pub Date : 2024-07-18 DOI:10.3390/f15071248
Miaomiao Liu, Guanmin Liang, Ziyi Wu, Xueman Zuo, Xisheng Hu, Sen Lin, Zhilong Wu
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摘要

了解生态质量(EQ)对森林景观连通性的响应对全球生物多样性保护和国家生态安全至关重要。然而,从空间异质性的角度定量测量这些关系的属性和强度仍然具有挑战性。本研究以福建三角洲地区为案例。采用谷歌地球引擎平台计算遥感生态指数(RSEI),应用景观度量表示森林景观的结构连通性,采用最小累积阻力模型测量成本距离指数表示森林景观的功能连通性。然后,基于空间自相关和地理加权回归分析了三个尺度(3、4 和 5 千米)的环境质量与森林景观连通性之间的空间相关性和异质性。结果如下(1)从 2000 年到 2020 年,总体 EQ 有所提高,37.5%的区域有所改善,13.8%的区域有所恶化;(2)从 2000 年到 2020 年,森林景观结构连通性和功能连通性呈小幅下降趋势,分别下降了 1.3%和 0.9%;(3)从 2000 年到 2020 年,森林景观结构连通性和功能连通性呈小幅下降趋势,分别下降了 1.3%和 0.9%。9%;(3)根据 RSEI 和森林景观结构连通性和功能连通性的变化,在环境质量改善或退化的条件下,发现了 8 种森林景观结构连通性和功能连通性变化模式;(4)地理加权回归结果表明,与森林景观结构连通性指数相比,成本距离指数在不同尺度上对 RSEI 的解释力最高。森林景观功能连通性对环境质量的影响大于结构连通性。它为生态环境监测和管理者的生态保护决策提供了科学参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatiotemporal Changes in Ecological Quality and Its Response to Forest Landscape Connectivity—A Study from the Perspective of Landscape Structural and Functional Connectivity
Understanding the response of ecological quality (EQ) to forest landscape connectivity is essential to global biodiversity conservation and national ecological security. However, quantitatively measuring the properties and intensities within these relationships from a spatial heterogeneity perspective remains challenging. This study takes the Fujian Delta region as its case study. The Google Earth Engine platform was employed to compute the remote sensing ecological index (RSEI), the landscape metrics were applied to represent the structural connectivity of the forest landscape, and the minimum cumulative resistance model was adopted to measure the cost distance index representing the functional connectivity of the forest landscape. Then, the spatial correlation and heterogeneity between the EQ and forest landscape connectivity were analyzed based on spatial autocorrelation and geographical weighted regression at three scales (3, 4, and 5 km). The results showed the following: (1) from 2000 to 2020, the overall EQ increased, improving in 37.5% of the region and deteriorating in 13.8% of the region; (2) the forest landscape structural and functional connectivity showed a small decreasing trend from 2000 to 2020, decreasing by 1.3% and 0.9%, respectively; (3) eight forest landscape structural and functional connectivity change modes were detected under the conditions of an improving or degrading EQ based on the change in RSEI and forest landscape structural and functional connectivity; (4) the geographical weighted regression results showed that compared with the forest landscape structural connectivity index, the cost distance index had the highest explanatory power to RSEI in different scales. The effect of forest landscape functional connectivity on EQ is greater than that of structural connectivity. It provides a scientific reference for ecological environmental monitoring and the ecological conservation decision-making of managers.
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