2000 年至 2018 年塞尔维亚景观格局与人类干扰之间的关系

Luís Quinta-Nova, José Manuel Naranjo Gómez, Ana Vulevic, Rui Alexandre Castanho, Luís Loures
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引用次数: 0

摘要

本研究旨在验证景观配置的改变(以不同的配置和多样性指标表示)与人类干扰强度之间的关系。研究的目标是(1)量化 2000 年至 2018 年间塞尔维亚土地利用/土地覆盖(LULC)模式的变化以及人类干扰的程度;(2)研究不同强度下 LULC 配置与人类干扰造成的影响之间的关系,以了解景观模式的变化趋势如何作为估算人类行为造成的景观变化的指标。通过计算 Hemeroby 指数(HI)来量化人类活动干扰对生态系统造成的影响。根据对 2000 年至 2018 年期间 HI 对应值变化的分析,塞尔维亚境内的自然程度仅提高了 5%,这一变化主要在塞尔维亚东南部得到验证。我们使用一套 LULC 指标对景观格局进行了量化。我们使用斯皮尔曼方法来确定景观几何参数与 HIs 值之间现有的统计相关性。在景观水平上,平均形状指数、边缘密度、平均斑块分形维度和香农多样性指数与 HI 呈强烈的负相关。这种相关性表明,结构复杂度较高的地貌是hemeroby 水平较低的良好指标。在等级水平上,人工地表、农业区、森林和半自然区的边缘密度和平均斑块大小与 HI 显著相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relationship between Landscape Pattern and Human Disturbance in Serbia from 2000 to 2018
This study intends to verify how the alteration of the landscape configuration, represented by different metrics of configuration and diversity, is related to the intensity of human disturbance. The objectives of the study are: (1) to quantify the change in land use/land cover (LULC) patterns and the degree of human disturbance in Serbia between 2000 and 2018, and (2) to study the relationship between LULC configuration and the impact resulting from human disturbance under different levels of intensity, to understand how changing trends in landscape pattern can serve as indicators to estimate landscape changes resulting from human actions. The Hemeroby Index (HI) was calculated to quantify the impacts on ecosystems resulting from disturbance caused by human actions. Based on the analysis of the variation in the value corresponding to the HI for the period between 2000 and 2018, the level of naturalness increased by only 5% of the territory of Serbia, with this change being verified mainly in SE Serbia. The landscape pattern was quantified using a set of LULC metrics. We used the Spearman method to identify the existing statistical correlations between the geometric parameters of the landscape and the HIs values. At the landscape level, the Mean Shape Index, Edge Density, Mean Patch Fractal Dimension, and Shannon Diversity Index show a strong negative correlation with HI. This correlation suggests that landscapes with greater structural complexity are good indicators of low levels of hemeroby. At the class level, Edge Density and Mean Patch Size correlate significantly with the HI for artificial surfaces, agricultural areas, forests, and semi-natural areas.
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