Loading…

Assessing landscape fragmentation and ecological connectivity to support regional spatial planning: A case study of Jiangsu province, China

[Display omitted] •We modified an ecological connectivity index considering ecological patches’ quality.•We found landscape fragmentation and connectivity loss in Jiangsu from 2000 to 2018.•We gave suggestions on improving ecological network in Jiangsu, China.•The combined method can provide valuabl...

Full description

Saved in:
Bibliographic Details
Published in:Ecological indicators 2024-05, Vol.162, p.112063, Article 112063
Main Authors: Zhang, Qishun, Tang, Fuping, Chen, Honghua, Li, Feixue, Chen, Zhenjie, Jiao, Yanan
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c403t-e8d700e149304886d96994e530c64e311ac4e9eb32f1e3bda687a38269c20e1d3
container_end_page
container_issue
container_start_page 112063
container_title Ecological indicators
container_volume 162
creator Zhang, Qishun
Tang, Fuping
Chen, Honghua
Li, Feixue
Chen, Zhenjie
Jiao, Yanan
description [Display omitted] •We modified an ecological connectivity index considering ecological patches’ quality.•We found landscape fragmentation and connectivity loss in Jiangsu from 2000 to 2018.•We gave suggestions on improving ecological network in Jiangsu, China.•The combined method can provide valuable tools for spatial planning. Urbanization in China has led to land-use changes resulting in landscape fragmentation, natural habitats loss and ecological connectivity decline. Aiming to support sustainable landscape planning, we proposed an integrated method for ecological structure assessment and optimization including morphological spatial pattern analysis (MSPA), minimal cumulative resistance (MCR) model and circuit theory to assess landscape fragmentation and ecological connectivity change at regional scale. A modified connectivity index is also proposed by employing the index of relative quality of ecological patches and corridors. We applied the combined methods to Jiangsu province in eastern China for multi-temporal landscape analysis and optimization. The results showed that the combined analysis revealed both fragmentation trend of ecological patches and ecological connectivity reduction with regard to all the species as a whole in the study area from 2000 to 2018. While, the trend has been slowed down to a certain extent lately, which is related to a series of ecological protection policies implemented in the study area, including ecological redlines policy, national park construction and returning marginal farmland into forest or grassland. Furthermore, suggestions for improving the ecological network in the study area were proposed. We proposed to improve the ecological network by fostering twenty-five potential ecological sources, maintaining twenty-five pinch points, restoring eleven dredging corridors and planning fifty-three stepping stones. Overall, we argue that the combined method can reveal both structural connectivity and functional connectivity, and the time series analysis can provide dynamics situation for better understanding and planning landscape process. It can also provide planners with a valuable strategic tool that advances the practical utility of landscape ecology techniques for spatial planning, and the combined application of the method helps to reduce some of the limitations of each individual method.
doi_str_mv 10.1016/j.ecolind.2024.112063
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_1051a505832345ddad42bf610235cc1a</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1470160X2400520X</els_id><doaj_id>oai_doaj_org_article_1051a505832345ddad42bf610235cc1a</doaj_id><sourcerecordid>3153586861</sourcerecordid><originalsourceid>FETCH-LOGICAL-c403t-e8d700e149304886d96994e530c64e311ac4e9eb32f1e3bda687a38269c20e1d3</originalsourceid><addsrcrecordid>eNqFkc9u1DAQxiNEJUrLIyD5yIEs_hcn4YJWqwJFlbgUiZvltSfBq6wdbGelfYa-NLOk4spprNH3_cYzX1W9ZXTDKFMfDhuwcfLBbTjlcsMYp0q8qK5Z1_K6pUK-xLdsac0U_fmqep3zgaKv79V19bTNGXL2YSSTCS5bMwMZkhmPEIopPgaCbXIZEEdvzURsDAFs8SdfzqREkpd5jqmQBCOqUZBn9GGdERgQ_JFsiTUZSC6LO5M4kG_ehDEvZE7x5IOF92T3ywdzW10NZsrw5rneVD8-3z3uvtYP37_c77YPtZVUlBo611IKTPaCyq5TrsdVJDSCWiVBMGashB72gg8MxN4Z1bVGdFz1lqPNiZvqfuW6aA56Tv5o0llH4_XfRkyjNql4O4FmtGGmoU0nuJCNc8ZJvh8Uo1w01jKDrHcrC3f5vUAu-uizhQl3h7hkLVgjmk51iqG0WaU2xZwTDP9GM6ovQeqDfg5SX4LUa5Do-7T6AG9y8pB0th7wbM4nDAI_7f9D-ANiwqri</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3153586861</pqid></control><display><type>article</type><title>Assessing landscape fragmentation and ecological connectivity to support regional spatial planning: A case study of Jiangsu province, China</title><source>ScienceDirect Journals</source><creator>Zhang, Qishun ; Tang, Fuping ; Chen, Honghua ; Li, Feixue ; Chen, Zhenjie ; Jiao, Yanan</creator><creatorcontrib>Zhang, Qishun ; Tang, Fuping ; Chen, Honghua ; Li, Feixue ; Chen, Zhenjie ; Jiao, Yanan</creatorcontrib><description>[Display omitted] •We modified an ecological connectivity index considering ecological patches’ quality.•We found landscape fragmentation and connectivity loss in Jiangsu from 2000 to 2018.•We gave suggestions on improving ecological network in Jiangsu, China.•The combined method can provide valuable tools for spatial planning. Urbanization in China has led to land-use changes resulting in landscape fragmentation, natural habitats loss and ecological connectivity decline. Aiming to support sustainable landscape planning, we proposed an integrated method for ecological structure assessment and optimization including morphological spatial pattern analysis (MSPA), minimal cumulative resistance (MCR) model and circuit theory to assess landscape fragmentation and ecological connectivity change at regional scale. A modified connectivity index is also proposed by employing the index of relative quality of ecological patches and corridors. We applied the combined methods to Jiangsu province in eastern China for multi-temporal landscape analysis and optimization. The results showed that the combined analysis revealed both fragmentation trend of ecological patches and ecological connectivity reduction with regard to all the species as a whole in the study area from 2000 to 2018. While, the trend has been slowed down to a certain extent lately, which is related to a series of ecological protection policies implemented in the study area, including ecological redlines policy, national park construction and returning marginal farmland into forest or grassland. Furthermore, suggestions for improving the ecological network in the study area were proposed. We proposed to improve the ecological network by fostering twenty-five potential ecological sources, maintaining twenty-five pinch points, restoring eleven dredging corridors and planning fifty-three stepping stones. Overall, we argue that the combined method can reveal both structural connectivity and functional connectivity, and the time series analysis can provide dynamics situation for better understanding and planning landscape process. It can also provide planners with a valuable strategic tool that advances the practical utility of landscape ecology techniques for spatial planning, and the combined application of the method helps to reduce some of the limitations of each individual method.</description><identifier>ISSN: 1470-160X</identifier><identifier>EISSN: 1872-7034</identifier><identifier>DOI: 10.1016/j.ecolind.2024.112063</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>agricultural land ; case studies ; China ; Circuit theory ; decline ; Ecological connectivity ; Ecological landscape pattern ; forests ; grasslands ; habitat fragmentation ; issues and policy ; Jiangsu Province China ; land use ; landscape ecology ; landscapes ; Multi-temporal assessment ; national parks ; species ; time series analysis ; urbanization</subject><ispartof>Ecological indicators, 2024-05, Vol.162, p.112063, Article 112063</ispartof><rights>2024 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c403t-e8d700e149304886d96994e530c64e311ac4e9eb32f1e3bda687a38269c20e1d3</cites><orcidid>0000-0003-4404-9546</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Zhang, Qishun</creatorcontrib><creatorcontrib>Tang, Fuping</creatorcontrib><creatorcontrib>Chen, Honghua</creatorcontrib><creatorcontrib>Li, Feixue</creatorcontrib><creatorcontrib>Chen, Zhenjie</creatorcontrib><creatorcontrib>Jiao, Yanan</creatorcontrib><title>Assessing landscape fragmentation and ecological connectivity to support regional spatial planning: A case study of Jiangsu province, China</title><title>Ecological indicators</title><description>[Display omitted] •We modified an ecological connectivity index considering ecological patches’ quality.•We found landscape fragmentation and connectivity loss in Jiangsu from 2000 to 2018.•We gave suggestions on improving ecological network in Jiangsu, China.•The combined method can provide valuable tools for spatial planning. Urbanization in China has led to land-use changes resulting in landscape fragmentation, natural habitats loss and ecological connectivity decline. Aiming to support sustainable landscape planning, we proposed an integrated method for ecological structure assessment and optimization including morphological spatial pattern analysis (MSPA), minimal cumulative resistance (MCR) model and circuit theory to assess landscape fragmentation and ecological connectivity change at regional scale. A modified connectivity index is also proposed by employing the index of relative quality of ecological patches and corridors. We applied the combined methods to Jiangsu province in eastern China for multi-temporal landscape analysis and optimization. The results showed that the combined analysis revealed both fragmentation trend of ecological patches and ecological connectivity reduction with regard to all the species as a whole in the study area from 2000 to 2018. While, the trend has been slowed down to a certain extent lately, which is related to a series of ecological protection policies implemented in the study area, including ecological redlines policy, national park construction and returning marginal farmland into forest or grassland. Furthermore, suggestions for improving the ecological network in the study area were proposed. We proposed to improve the ecological network by fostering twenty-five potential ecological sources, maintaining twenty-five pinch points, restoring eleven dredging corridors and planning fifty-three stepping stones. Overall, we argue that the combined method can reveal both structural connectivity and functional connectivity, and the time series analysis can provide dynamics situation for better understanding and planning landscape process. It can also provide planners with a valuable strategic tool that advances the practical utility of landscape ecology techniques for spatial planning, and the combined application of the method helps to reduce some of the limitations of each individual method.</description><subject>agricultural land</subject><subject>case studies</subject><subject>China</subject><subject>Circuit theory</subject><subject>decline</subject><subject>Ecological connectivity</subject><subject>Ecological landscape pattern</subject><subject>forests</subject><subject>grasslands</subject><subject>habitat fragmentation</subject><subject>issues and policy</subject><subject>Jiangsu Province China</subject><subject>land use</subject><subject>landscape ecology</subject><subject>landscapes</subject><subject>Multi-temporal assessment</subject><subject>national parks</subject><subject>species</subject><subject>time series analysis</subject><subject>urbanization</subject><issn>1470-160X</issn><issn>1872-7034</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNqFkc9u1DAQxiNEJUrLIyD5yIEs_hcn4YJWqwJFlbgUiZvltSfBq6wdbGelfYa-NLOk4spprNH3_cYzX1W9ZXTDKFMfDhuwcfLBbTjlcsMYp0q8qK5Z1_K6pUK-xLdsac0U_fmqep3zgaKv79V19bTNGXL2YSSTCS5bMwMZkhmPEIopPgaCbXIZEEdvzURsDAFs8SdfzqREkpd5jqmQBCOqUZBn9GGdERgQ_JFsiTUZSC6LO5M4kG_ehDEvZE7x5IOF92T3ywdzW10NZsrw5rneVD8-3z3uvtYP37_c77YPtZVUlBo611IKTPaCyq5TrsdVJDSCWiVBMGashB72gg8MxN4Z1bVGdFz1lqPNiZvqfuW6aA56Tv5o0llH4_XfRkyjNql4O4FmtGGmoU0nuJCNc8ZJvh8Uo1w01jKDrHcrC3f5vUAu-uizhQl3h7hkLVgjmk51iqG0WaU2xZwTDP9GM6ovQeqDfg5SX4LUa5Do-7T6AG9y8pB0th7wbM4nDAI_7f9D-ANiwqri</recordid><startdate>202405</startdate><enddate>202405</enddate><creator>Zhang, Qishun</creator><creator>Tang, Fuping</creator><creator>Chen, Honghua</creator><creator>Li, Feixue</creator><creator>Chen, Zhenjie</creator><creator>Jiao, Yanan</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-4404-9546</orcidid></search><sort><creationdate>202405</creationdate><title>Assessing landscape fragmentation and ecological connectivity to support regional spatial planning: A case study of Jiangsu province, China</title><author>Zhang, Qishun ; Tang, Fuping ; Chen, Honghua ; Li, Feixue ; Chen, Zhenjie ; Jiao, Yanan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c403t-e8d700e149304886d96994e530c64e311ac4e9eb32f1e3bda687a38269c20e1d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>agricultural land</topic><topic>case studies</topic><topic>China</topic><topic>Circuit theory</topic><topic>decline</topic><topic>Ecological connectivity</topic><topic>Ecological landscape pattern</topic><topic>forests</topic><topic>grasslands</topic><topic>habitat fragmentation</topic><topic>issues and policy</topic><topic>Jiangsu Province China</topic><topic>land use</topic><topic>landscape ecology</topic><topic>landscapes</topic><topic>Multi-temporal assessment</topic><topic>national parks</topic><topic>species</topic><topic>time series analysis</topic><topic>urbanization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Qishun</creatorcontrib><creatorcontrib>Tang, Fuping</creatorcontrib><creatorcontrib>Chen, Honghua</creatorcontrib><creatorcontrib>Li, Feixue</creatorcontrib><creatorcontrib>Chen, Zhenjie</creatorcontrib><creatorcontrib>Jiao, Yanan</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>Directory of Open Access Journals</collection><jtitle>Ecological indicators</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Qishun</au><au>Tang, Fuping</au><au>Chen, Honghua</au><au>Li, Feixue</au><au>Chen, Zhenjie</au><au>Jiao, Yanan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing landscape fragmentation and ecological connectivity to support regional spatial planning: A case study of Jiangsu province, China</atitle><jtitle>Ecological indicators</jtitle><date>2024-05</date><risdate>2024</risdate><volume>162</volume><spage>112063</spage><pages>112063-</pages><artnum>112063</artnum><issn>1470-160X</issn><eissn>1872-7034</eissn><abstract>[Display omitted] •We modified an ecological connectivity index considering ecological patches’ quality.•We found landscape fragmentation and connectivity loss in Jiangsu from 2000 to 2018.•We gave suggestions on improving ecological network in Jiangsu, China.•The combined method can provide valuable tools for spatial planning. Urbanization in China has led to land-use changes resulting in landscape fragmentation, natural habitats loss and ecological connectivity decline. Aiming to support sustainable landscape planning, we proposed an integrated method for ecological structure assessment and optimization including morphological spatial pattern analysis (MSPA), minimal cumulative resistance (MCR) model and circuit theory to assess landscape fragmentation and ecological connectivity change at regional scale. A modified connectivity index is also proposed by employing the index of relative quality of ecological patches and corridors. We applied the combined methods to Jiangsu province in eastern China for multi-temporal landscape analysis and optimization. The results showed that the combined analysis revealed both fragmentation trend of ecological patches and ecological connectivity reduction with regard to all the species as a whole in the study area from 2000 to 2018. While, the trend has been slowed down to a certain extent lately, which is related to a series of ecological protection policies implemented in the study area, including ecological redlines policy, national park construction and returning marginal farmland into forest or grassland. Furthermore, suggestions for improving the ecological network in the study area were proposed. We proposed to improve the ecological network by fostering twenty-five potential ecological sources, maintaining twenty-five pinch points, restoring eleven dredging corridors and planning fifty-three stepping stones. Overall, we argue that the combined method can reveal both structural connectivity and functional connectivity, and the time series analysis can provide dynamics situation for better understanding and planning landscape process. It can also provide planners with a valuable strategic tool that advances the practical utility of landscape ecology techniques for spatial planning, and the combined application of the method helps to reduce some of the limitations of each individual method.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.ecolind.2024.112063</doi><orcidid>https://orcid.org/0000-0003-4404-9546</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1470-160X
ispartof Ecological indicators, 2024-05, Vol.162, p.112063, Article 112063
issn 1470-160X
1872-7034
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_1051a505832345ddad42bf610235cc1a
source ScienceDirect Journals
subjects agricultural land
case studies
China
Circuit theory
decline
Ecological connectivity
Ecological landscape pattern
forests
grasslands
habitat fragmentation
issues and policy
Jiangsu Province China
land use
landscape ecology
landscapes
Multi-temporal assessment
national parks
species
time series analysis
urbanization
title Assessing landscape fragmentation and ecological connectivity to support regional spatial planning: A case study of Jiangsu province, China
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T08%3A25%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessing%20landscape%20fragmentation%20and%20ecological%20connectivity%20to%20support%20regional%20spatial%20planning:%20A%20case%20study%20of%20Jiangsu%20province,%20China&rft.jtitle=Ecological%20indicators&rft.au=Zhang,%20Qishun&rft.date=2024-05&rft.volume=162&rft.spage=112063&rft.pages=112063-&rft.artnum=112063&rft.issn=1470-160X&rft.eissn=1872-7034&rft_id=info:doi/10.1016/j.ecolind.2024.112063&rft_dat=%3Cproquest_doaj_%3E3153586861%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c403t-e8d700e149304886d96994e530c64e311ac4e9eb32f1e3bda687a38269c20e1d3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3153586861&rft_id=info:pmid/&rfr_iscdi=true