Assessing spatial–temporal heterogeneity of China’s landscape fragmentation in 1980–2020

Exploring the spatial–temporal heterogeneity of landscape fragmentation contributes to realizing the dynamic evolution of the landscape pattern and understanding the impacts of physical-geographical environment and human activities on landscape systems. Differing from previous studies that focused o...

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Main Authors: Lilin Zou, Jianying Wang, Mengdi Bai
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:Ecological Indicators
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X2200125X
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author Lilin Zou
Jianying Wang
Mengdi Bai
author_facet Lilin Zou
Jianying Wang
Mengdi Bai
author_sort Lilin Zou
collection DOAJ
description Exploring the spatial–temporal heterogeneity of landscape fragmentation contributes to realizing the dynamic evolution of the landscape pattern and understanding the impacts of physical-geographical environment and human activities on landscape systems. Differing from previous studies that focused on using single landscape pattern metrics to characterize the landscape fragmentation, this study proposed a Landscape Fragmentation Index (LFI) to assess and analyze the spatial–temporal heterogeneity of China’s landscape fragmentation in 1980–2020. The result showed that the landscape pattern metrics characterizing patch size, patch shape, patch density, patch type, patch cluster, and patch distance were equipped with obvious phased change characteristics, and all of them have successively undergone the stable phase, fluctuation phase, and adjustment phase. In 1980–2020, China’s LFI was gradually increased to 0.393 from 0.383, annually rising by 0.07 percent points on average. Also, the annual average growth of urbanization rate and GDP respectively reached 1 percent point and 9.26 percent points. Besides, regarding spatial pattern, the landscape fragmentation showed relatively obvious fluctuation features in Southwest-Northeast (Hu Line) and Northwest-Southeast (Bole-Taipei Line) directions and Hu Line was manifested as the dividing line of landscape fragmentation while Bole-Taipei Line was shown as the equilibrium line. Spatial-temporal heterogeneity of China’s landscape fragmentation indicated that the fragmented landscape pattern was the combined effect of the physical-geographical environment and human activity interference.
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spelling doaj.art-feb57aa3df6946c0988d0a9728ee1b762022-12-21T20:03:09ZengElsevierEcological Indicators1470-160X2022-03-01136108654Assessing spatial–temporal heterogeneity of China’s landscape fragmentation in 1980–2020Lilin Zou0Jianying Wang1Mengdi Bai2School of Political Science and Public Administration, Huaqiao University, Quanzhou 362021, China; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaCollege of Tourism, Huaqiao University, Quanzhou 362021, China; Corresponding author.School of Political Science and Public Administration, Huaqiao University, Quanzhou 362021, ChinaExploring the spatial–temporal heterogeneity of landscape fragmentation contributes to realizing the dynamic evolution of the landscape pattern and understanding the impacts of physical-geographical environment and human activities on landscape systems. Differing from previous studies that focused on using single landscape pattern metrics to characterize the landscape fragmentation, this study proposed a Landscape Fragmentation Index (LFI) to assess and analyze the spatial–temporal heterogeneity of China’s landscape fragmentation in 1980–2020. The result showed that the landscape pattern metrics characterizing patch size, patch shape, patch density, patch type, patch cluster, and patch distance were equipped with obvious phased change characteristics, and all of them have successively undergone the stable phase, fluctuation phase, and adjustment phase. In 1980–2020, China’s LFI was gradually increased to 0.393 from 0.383, annually rising by 0.07 percent points on average. Also, the annual average growth of urbanization rate and GDP respectively reached 1 percent point and 9.26 percent points. Besides, regarding spatial pattern, the landscape fragmentation showed relatively obvious fluctuation features in Southwest-Northeast (Hu Line) and Northwest-Southeast (Bole-Taipei Line) directions and Hu Line was manifested as the dividing line of landscape fragmentation while Bole-Taipei Line was shown as the equilibrium line. Spatial-temporal heterogeneity of China’s landscape fragmentation indicated that the fragmented landscape pattern was the combined effect of the physical-geographical environment and human activity interference.http://www.sciencedirect.com/science/article/pii/S1470160X2200125XLand useLandscape patternFragmentationSpatial–temporal heterogeneityChina
spellingShingle Lilin Zou
Jianying Wang
Mengdi Bai
Assessing spatial–temporal heterogeneity of China’s landscape fragmentation in 1980–2020
Ecological Indicators
Land use
Landscape pattern
Fragmentation
Spatial–temporal heterogeneity
China
title Assessing spatial–temporal heterogeneity of China’s landscape fragmentation in 1980–2020
title_full Assessing spatial–temporal heterogeneity of China’s landscape fragmentation in 1980–2020
title_fullStr Assessing spatial–temporal heterogeneity of China’s landscape fragmentation in 1980–2020
title_full_unstemmed Assessing spatial–temporal heterogeneity of China’s landscape fragmentation in 1980–2020
title_short Assessing spatial–temporal heterogeneity of China’s landscape fragmentation in 1980–2020
title_sort assessing spatial temporal heterogeneity of china s landscape fragmentation in 1980 2020
topic Land use
Landscape pattern
Fragmentation
Spatial–temporal heterogeneity
China
url http://www.sciencedirect.com/science/article/pii/S1470160X2200125X
work_keys_str_mv AT lilinzou assessingspatialtemporalheterogeneityofchinaslandscapefragmentationin19802020
AT jianyingwang assessingspatialtemporalheterogeneityofchinaslandscapefragmentationin19802020
AT mengdibai assessingspatialtemporalheterogeneityofchinaslandscapefragmentationin19802020