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量化中国南方城市群生态系统的人类干扰强度及其自然和社会经济驱动因素。

Quantifying the human disturbance intensity of ecosystems and its natural and socioeconomic driving factors in urban agglomeration in South China.

机构信息

School of Geography Sciences, South China Normal University, Guangzhou, 510631, China.

School of Geography and Environmental Engineering, Gannan Normal University, Ganzhou, 341000, China.

出版信息

Environ Sci Pollut Res Int. 2022 Feb;29(8):11493-11509. doi: 10.1007/s11356-021-16349-1. Epub 2021 Sep 18.

Abstract

The impact of human activities on terrestrial ecosystems is becoming more intense than ever in history. Human disturbance analyses play important roles in appropriately managing the human-environment relationship. In this study, a human disturbance index (HDI) that uses land use and land cover data from 1980, 2000, 2010, and 2018 is proposed to assess the human disturbance of ecosystems in the Guangdong-Hong Kong-Macao Greater Bay Area. The HDI is first calculated by classifying the human disturbance intensity into seven levels and 13 categories from weak to strong in ecosystems. Then the driving factors of the HDI spatial pattern change are explored using a geographically weighted regression (GWR) model. The results showed that the spatial pattern of the HDI was high in the middle and low in the surrounding areas. The intensity of human disturbance increased, and the medium and high disturbance areas expanded during 1980-2018, especially in Guangzhou, Foshan, Shenzhen, and Dongguan. Human disturbance displayed an obvious spatial heterogeneity. The GWR model had a better explanation effect of the analysis of the HDI change drivers. The driving effect of the socioeconomic conditions was significantly stronger than that of the natural environmental. This study assists in understanding the distribution and change characteristics of the ecological environment in areas with strong human activities and provides a reference for related studies.

摘要

人类活动对陆地生态系统的影响正变得比历史上任何时候都更加剧烈。人类干扰分析在适当管理人类-环境关系方面发挥着重要作用。本研究提出了一种利用 1980 年、2000 年、2010 年和 2018 年土地利用和土地覆盖数据的人类干扰指数(HDI),以评估粤港澳大湾区生态系统的人类干扰程度。HDI 首先通过将生态系统中的人类干扰强度分为七个级别和 13 个类别(从弱到强)进行分类来计算。然后,利用地理加权回归(GWR)模型探讨了 HDI 空间格局变化的驱动因素。结果表明,HDI 的空间格局呈中间高、周边低的特点。1980-2018 年间,人类干扰强度增加,中高强度干扰区扩大,尤其是在广州、佛山、深圳和东莞。人类干扰表现出明显的空间异质性。GWR 模型对 HDI 变化驱动因素的分析具有更好的解释效果。社会经济条件的驱动效应明显强于自然环境。本研究有助于了解人类活动强烈地区生态环境的分布和变化特征,为相关研究提供参考。

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