The temporal and spatial variation pattern of vegetation coverage in Suganhu wetland
Vegetation coverage is an important factor that reflects the appearance characteristics of the community and affects the stability of the vegetation ecosystem. The study of its temporal and spatial heterogeneity evolution law helps to understand the structure and function of the wetland community an...
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Veröffentlicht in: | Sheng tai xue bao 2020, Vol.40 (9), p.2975 |
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description | Vegetation coverage is an important factor that reflects the appearance characteristics of the community and affects the stability of the vegetation ecosystem. The study of its temporal and spatial heterogeneity evolution law helps to understand the structure and function of the wetland community and its environmental response mechanism. Wetland community survey and remote sensing technology are used. The combined method analyzes the temporal and spatial changes of vegetation coverage and its influencing factors in the inland salt marsh wetlands of Sugan Lake in the past 30 years. The results show that the pixel binary model has a high degree of research on the vegetation coverage of inland salt marshes. The simulation accuracy; the vegetation coverage of the Sugan Lake wetland showed an overall upward trend from 1987 to 2017, with an inter-annual increase of 0.162%/5a, which was positively correlated with temperature and precipitation; spatially, the vegetation coverage and groundwater depth There is a positive correlation, and a negative correlation with the total soil salt content, but the correlation between the vegetation coverage of different grades, the depth of the groundwater table, and the total soil salt content are different. The influence of spatial heterogeneity of total salt content shows a patchy mosaic distribution. |
doi_str_mv | 10.5846/stxb201905090950 |
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The study of its temporal and spatial heterogeneity evolution law helps to understand the structure and function of the wetland community and its environmental response mechanism. Wetland community survey and remote sensing technology are used. The combined method analyzes the temporal and spatial changes of vegetation coverage and its influencing factors in the inland salt marsh wetlands of Sugan Lake in the past 30 years. The results show that the pixel binary model has a high degree of research on the vegetation coverage of inland salt marshes. The simulation accuracy; the vegetation coverage of the Sugan Lake wetland showed an overall upward trend from 1987 to 2017, with an inter-annual increase of 0.162%/5a, which was positively correlated with temperature and precipitation; spatially, the vegetation coverage and groundwater depth There is a positive correlation, and a negative correlation with the total soil salt content, but the correlation between the vegetation coverage of different grades, the depth of the groundwater table, and the total soil salt content are different. The influence of spatial heterogeneity of total salt content shows a patchy mosaic distribution.</description><identifier>ISSN: 1000-0933</identifier><identifier>DOI: 10.5846/stxb201905090950</identifier><language>chi ; eng</language><publisher>Beijing: Science Press</publisher><subject>Correlation ; Environmental changes ; Groundwater ; Groundwater levels ; Heterogeneity ; Lakes ; Remote sensing ; Salt marshes ; Soils ; Spatial heterogeneity ; Spatial variations ; Structure-function relationships ; Vegetation ; Water table ; Wetlands</subject><ispartof>Sheng tai xue bao, 2020, Vol.40 (9), p.2975</ispartof><rights>Copyright Science Press 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids></links><search><creatorcontrib>Kang, Manping</creatorcontrib><creatorcontrib>Zhao, Chengzhang</creatorcontrib><creatorcontrib>Bai, Xue</creatorcontrib><creatorcontrib>Yang, Juncang</creatorcontrib><title>The temporal and spatial variation pattern of vegetation coverage in Suganhu wetland</title><title>Sheng tai xue bao</title><description>Vegetation coverage is an important factor that reflects the appearance characteristics of the community and affects the stability of the vegetation ecosystem. The study of its temporal and spatial heterogeneity evolution law helps to understand the structure and function of the wetland community and its environmental response mechanism. Wetland community survey and remote sensing technology are used. The combined method analyzes the temporal and spatial changes of vegetation coverage and its influencing factors in the inland salt marsh wetlands of Sugan Lake in the past 30 years. The results show that the pixel binary model has a high degree of research on the vegetation coverage of inland salt marshes. The simulation accuracy; the vegetation coverage of the Sugan Lake wetland showed an overall upward trend from 1987 to 2017, with an inter-annual increase of 0.162%/5a, which was positively correlated with temperature and precipitation; spatially, the vegetation coverage and groundwater depth There is a positive correlation, and a negative correlation with the total soil salt content, but the correlation between the vegetation coverage of different grades, the depth of the groundwater table, and the total soil salt content are different. The influence of spatial heterogeneity of total salt content shows a patchy mosaic distribution.</description><subject>Correlation</subject><subject>Environmental changes</subject><subject>Groundwater</subject><subject>Groundwater levels</subject><subject>Heterogeneity</subject><subject>Lakes</subject><subject>Remote sensing</subject><subject>Salt marshes</subject><subject>Soils</subject><subject>Spatial heterogeneity</subject><subject>Spatial variations</subject><subject>Structure-function relationships</subject><subject>Vegetation</subject><subject>Water table</subject><subject>Wetlands</subject><issn>1000-0933</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNpdkL1PwzAQxT2ARCnsjJaYA-dc7NQjqviSKjGQPbKTS5uqjYPtBPjvMSoT0z09Pb13-jF2I-BOrgp1H-KXzUFokKBBSzhjCwEAGWjEC3YZwh4AQaBesKraEY90HJ03B26GlofRxD7p2fg-KTfwZETyA3cdn2lL8eQ2biZvtsT7gb9PWzPsJv5J8ZA6rth5Zw6Brv_uklVPj9X6Jdu8Pb-uHzZZo7TMbPoBTKvQoMihIyuwlCq3TU6FFFrZsrUrZVRHiLrtVGG1bEhYo7Apc1zhkt2eakfvPiYKsd67yQ9psc6LUgDmiUBKwSnVeBeCp64efX80_rsWUP_iqv_jwh-Q-GCu</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Kang, Manping</creator><creator>Zhao, Chengzhang</creator><creator>Bai, Xue</creator><creator>Yang, Juncang</creator><general>Science Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7ST</scope><scope>7UA</scope><scope>C1K</scope><scope>SOI</scope></search><sort><creationdate>2020</creationdate><title>The temporal and spatial variation pattern of vegetation coverage in Suganhu wetland</title><author>Kang, Manping ; Zhao, Chengzhang ; Bai, Xue ; Yang, Juncang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c695-b0300ad63a3120feb137562bc2e45196b7db86a6fe339df64b95ce1ba63c72383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>chi ; eng</language><creationdate>2020</creationdate><topic>Correlation</topic><topic>Environmental changes</topic><topic>Groundwater</topic><topic>Groundwater levels</topic><topic>Heterogeneity</topic><topic>Lakes</topic><topic>Remote sensing</topic><topic>Salt marshes</topic><topic>Soils</topic><topic>Spatial heterogeneity</topic><topic>Spatial variations</topic><topic>Structure-function relationships</topic><topic>Vegetation</topic><topic>Water table</topic><topic>Wetlands</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kang, Manping</creatorcontrib><creatorcontrib>Zhao, Chengzhang</creatorcontrib><creatorcontrib>Bai, Xue</creatorcontrib><creatorcontrib>Yang, Juncang</creatorcontrib><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><jtitle>Sheng tai xue bao</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kang, Manping</au><au>Zhao, Chengzhang</au><au>Bai, Xue</au><au>Yang, Juncang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The temporal and spatial variation pattern of vegetation coverage in Suganhu wetland</atitle><jtitle>Sheng tai xue bao</jtitle><date>2020</date><risdate>2020</risdate><volume>40</volume><issue>9</issue><spage>2975</spage><pages>2975-</pages><issn>1000-0933</issn><abstract>Vegetation coverage is an important factor that reflects the appearance characteristics of the community and affects the stability of the vegetation ecosystem. The study of its temporal and spatial heterogeneity evolution law helps to understand the structure and function of the wetland community and its environmental response mechanism. Wetland community survey and remote sensing technology are used. The combined method analyzes the temporal and spatial changes of vegetation coverage and its influencing factors in the inland salt marsh wetlands of Sugan Lake in the past 30 years. The results show that the pixel binary model has a high degree of research on the vegetation coverage of inland salt marshes. The simulation accuracy; the vegetation coverage of the Sugan Lake wetland showed an overall upward trend from 1987 to 2017, with an inter-annual increase of 0.162%/5a, which was positively correlated with temperature and precipitation; spatially, the vegetation coverage and groundwater depth There is a positive correlation, and a negative correlation with the total soil salt content, but the correlation between the vegetation coverage of different grades, the depth of the groundwater table, and the total soil salt content are different. The influence of spatial heterogeneity of total salt content shows a patchy mosaic distribution.</abstract><cop>Beijing</cop><pub>Science Press</pub><doi>10.5846/stxb201905090950</doi></addata></record> |
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subjects | Correlation Environmental changes Groundwater Groundwater levels Heterogeneity Lakes Remote sensing Salt marshes Soils Spatial heterogeneity Spatial variations Structure-function relationships Vegetation Water table Wetlands |
title | The temporal and spatial variation pattern of vegetation coverage in Suganhu wetland |
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