Cargando…

Landscape Grain Effect in Yancheng Coastal Wetland and Its Response to Landscape Changes

The landscape grain effect reflects the spatial heterogeneity of a landscape and it is used as a research core of landscape ecology. The landscape grain effect can be used to not only explore spatiotemporal variation characteristics of a landscape pattern, but also to disclose variation laws of ecol...

Descripción completa

Detalles Bibliográficos
Autores principales: Tian, Peng, Cao, Luodan, Li, Jialin, Pu, Ruiliang, Shi, Xiaoli, Wang, Lijia, Liu, Ruiqing, Xu, Hao, Tong, Chen, Zhou, Zijing, Shao, Shuyao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616968/
https://www.ncbi.nlm.nih.gov/pubmed/31238577
http://dx.doi.org/10.3390/ijerph16122225
_version_ 1783433583867723776
author Tian, Peng
Cao, Luodan
Li, Jialin
Pu, Ruiliang
Shi, Xiaoli
Wang, Lijia
Liu, Ruiqing
Xu, Hao
Tong, Chen
Zhou, Zijing
Shao, Shuyao
author_facet Tian, Peng
Cao, Luodan
Li, Jialin
Pu, Ruiliang
Shi, Xiaoli
Wang, Lijia
Liu, Ruiqing
Xu, Hao
Tong, Chen
Zhou, Zijing
Shao, Shuyao
author_sort Tian, Peng
collection PubMed
description The landscape grain effect reflects the spatial heterogeneity of a landscape and it is used as a research core of landscape ecology. The landscape grain effect can be used to not only explore spatiotemporal variation characteristics of a landscape pattern, but also to disclose variation laws of ecological structures and functions of landscapes. In this study, the sensitivity of landscape pattern indexes to grain sizes 50–1000 m was studied based on landscape data in Yancheng Coastal Wetland acquired in 1991, 2000, 2008, and 2017. Response of the grain effect to landscape changes was analyzed and an optimal grain size for analysis in the study area was determined. Results indicated that: (1) among 27 indexes (12 in a class level and 15 in a landscape level), eight indexes were highly sensitive to grains, ten indexes presented moderate sensitivity, eight indexes presented low sensitivity, and one was unresponsive. It was shown that the area-margin index and the shape index were more sensitive to the different grain sizes. The aggregation index had some differences in the grain size change, and the diversity index had a low response degree to the grain size. (2) Landscape indexes showed six different responses to different grains, including slow reduced response, fast reduced and then slow reduced response, monotonically increased response, fluctuating reduced response, up-down responses, and stable response, which indicated that the landscape index was closely related to the spatial grain. (3) From 1991 to 2017, variation curves of the landscape grain size of different landscape types could be divided into four types: fluctuation rising type, fluctuation type, monotonous decreasing type, and monotonous rising type. Different grain size curves had different interpretations of landscape changes, but in general, Yancheng Coastal Wetland’s landscape tended to be fragmented and complicated, internal connectivity was weakened, and dominant landscape area was reduced. Natural wetlands were more sensitive to grain size effects than artificial wetlands. (4) The landscape index at the 50 m grain size had a strong response to different grain size changes, and the loss of landscape information was the smallest. Therefore, it was determined that the optimal landscape grain size in the study area was 50 m.
format Online
Article
Text
id pubmed-6616968
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-66169682019-07-18 Landscape Grain Effect in Yancheng Coastal Wetland and Its Response to Landscape Changes Tian, Peng Cao, Luodan Li, Jialin Pu, Ruiliang Shi, Xiaoli Wang, Lijia Liu, Ruiqing Xu, Hao Tong, Chen Zhou, Zijing Shao, Shuyao Int J Environ Res Public Health Article The landscape grain effect reflects the spatial heterogeneity of a landscape and it is used as a research core of landscape ecology. The landscape grain effect can be used to not only explore spatiotemporal variation characteristics of a landscape pattern, but also to disclose variation laws of ecological structures and functions of landscapes. In this study, the sensitivity of landscape pattern indexes to grain sizes 50–1000 m was studied based on landscape data in Yancheng Coastal Wetland acquired in 1991, 2000, 2008, and 2017. Response of the grain effect to landscape changes was analyzed and an optimal grain size for analysis in the study area was determined. Results indicated that: (1) among 27 indexes (12 in a class level and 15 in a landscape level), eight indexes were highly sensitive to grains, ten indexes presented moderate sensitivity, eight indexes presented low sensitivity, and one was unresponsive. It was shown that the area-margin index and the shape index were more sensitive to the different grain sizes. The aggregation index had some differences in the grain size change, and the diversity index had a low response degree to the grain size. (2) Landscape indexes showed six different responses to different grains, including slow reduced response, fast reduced and then slow reduced response, monotonically increased response, fluctuating reduced response, up-down responses, and stable response, which indicated that the landscape index was closely related to the spatial grain. (3) From 1991 to 2017, variation curves of the landscape grain size of different landscape types could be divided into four types: fluctuation rising type, fluctuation type, monotonous decreasing type, and monotonous rising type. Different grain size curves had different interpretations of landscape changes, but in general, Yancheng Coastal Wetland’s landscape tended to be fragmented and complicated, internal connectivity was weakened, and dominant landscape area was reduced. Natural wetlands were more sensitive to grain size effects than artificial wetlands. (4) The landscape index at the 50 m grain size had a strong response to different grain size changes, and the loss of landscape information was the smallest. Therefore, it was determined that the optimal landscape grain size in the study area was 50 m. MDPI 2019-06-24 2019-06 /pmc/articles/PMC6616968/ /pubmed/31238577 http://dx.doi.org/10.3390/ijerph16122225 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tian, Peng
Cao, Luodan
Li, Jialin
Pu, Ruiliang
Shi, Xiaoli
Wang, Lijia
Liu, Ruiqing
Xu, Hao
Tong, Chen
Zhou, Zijing
Shao, Shuyao
Landscape Grain Effect in Yancheng Coastal Wetland and Its Response to Landscape Changes
title Landscape Grain Effect in Yancheng Coastal Wetland and Its Response to Landscape Changes
title_full Landscape Grain Effect in Yancheng Coastal Wetland and Its Response to Landscape Changes
title_fullStr Landscape Grain Effect in Yancheng Coastal Wetland and Its Response to Landscape Changes
title_full_unstemmed Landscape Grain Effect in Yancheng Coastal Wetland and Its Response to Landscape Changes
title_short Landscape Grain Effect in Yancheng Coastal Wetland and Its Response to Landscape Changes
title_sort landscape grain effect in yancheng coastal wetland and its response to landscape changes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616968/
https://www.ncbi.nlm.nih.gov/pubmed/31238577
http://dx.doi.org/10.3390/ijerph16122225
work_keys_str_mv AT tianpeng landscapegraineffectinyanchengcoastalwetlandanditsresponsetolandscapechanges
AT caoluodan landscapegraineffectinyanchengcoastalwetlandanditsresponsetolandscapechanges
AT lijialin landscapegraineffectinyanchengcoastalwetlandanditsresponsetolandscapechanges
AT puruiliang landscapegraineffectinyanchengcoastalwetlandanditsresponsetolandscapechanges
AT shixiaoli landscapegraineffectinyanchengcoastalwetlandanditsresponsetolandscapechanges
AT wanglijia landscapegraineffectinyanchengcoastalwetlandanditsresponsetolandscapechanges
AT liuruiqing landscapegraineffectinyanchengcoastalwetlandanditsresponsetolandscapechanges
AT xuhao landscapegraineffectinyanchengcoastalwetlandanditsresponsetolandscapechanges
AT tongchen landscapegraineffectinyanchengcoastalwetlandanditsresponsetolandscapechanges
AT zhouzijing landscapegraineffectinyanchengcoastalwetlandanditsresponsetolandscapechanges
AT shaoshuyao landscapegraineffectinyanchengcoastalwetlandanditsresponsetolandscapechanges