A Catastrophe Model to Assess Soil Restoration Under Ecological Restoration in the Red Soil Hilly Region of China
Current methods that utilize simple data or models to evaluate soil restoration under ecological restoration are not sufficiently rigorous. Soil restoration under ecological restoration measures was evaluated in the red soil hilly region of China by applying the catastrophe model. Among 89 soil site...
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Veröffentlicht in: | Pedosphere 2017-08, Vol.27 (4), p.778-787 |
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description | Current methods that utilize simple data or models to evaluate soil restoration under ecological restoration are not sufficiently rigorous. Soil restoration under ecological restoration measures was evaluated in the red soil hilly region of China by applying the catastrophe model. Among 89 soil sites selected, 26 (29.21%) were in the middle lobe, 10 (11.24%) in the upper lobe, and 53 (70.79%) in the lower lobe of the process surface in the Cusp catastrophe model. The catastrophic direction of the 26 unstable soil sites was to the upper lobe of the process surface according to vegetation cover change and fieldwork. There was a significant negative correlation of the variation in bifurcation set (Δ value) with vegetation cover increase, and a higher vegetation cover increase was related to higher unstable probability. The four ecological restoration measures were listed in the order: low-quality forest improvement (LQFI) > arbor-bush-herb mixed plantation (ABHMP) > orchard improvement (OI) > closing measures (CM) according to the proportions of unstable soil sites, which were all higher than no restoration measure, while they were in the order: LQFI < ABHMP < OI < CM according to their Δ values, which were all lower than those of no restoration measure. Farmers' assessment of soil restoration under the four ecological restoration measures was in accordance with the proportions of unstable soil sites and inversely proportional to the Δ value. Therefore, farmers' assessment can prove the evaluation of soil restoration under ecological restoration measures based on catastrophe model. |
doi_str_mv | 10.1016/S1002-0160(17)60373-4 |
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Soil restoration under ecological restoration measures was evaluated in the red soil hilly region of China by applying the catastrophe model. Among 89 soil sites selected, 26 (29.21%) were in the middle lobe, 10 (11.24%) in the upper lobe, and 53 (70.79%) in the lower lobe of the process surface in the Cusp catastrophe model. The catastrophic direction of the 26 unstable soil sites was to the upper lobe of the process surface according to vegetation cover change and fieldwork. There was a significant negative correlation of the variation in bifurcation set (Δ value) with vegetation cover increase, and a higher vegetation cover increase was related to higher unstable probability. The four ecological restoration measures were listed in the order: low-quality forest improvement (LQFI) > arbor-bush-herb mixed plantation (ABHMP) > orchard improvement (OI) > closing measures (CM) according to the proportions of unstable soil sites, which were all higher than no restoration measure, while they were in the order: LQFI < ABHMP < OI < CM according to their Δ values, which were all lower than those of no restoration measure. Farmers' assessment of soil restoration under the four ecological restoration measures was in accordance with the proportions of unstable soil sites and inversely proportional to the Δ value. Therefore, farmers' assessment can prove the evaluation of soil restoration under ecological restoration measures based on catastrophe model.</description><identifier>ISSN: 1002-0160</identifier><identifier>EISSN: 2210-5107</identifier><identifier>DOI: 10.1016/S1002-0160(17)60373-4</identifier><language>eng</language><publisher>Beijing: Elsevier Ltd</publisher><subject>3S technologies ; Bifurcations ; Catastrophe theory ; Catastrophes ; Cusp catastrophe model ; Ecological monitoring ; Environmental restoration ; Farmers ; farmers' assessment ; Fieldwork ; Plantations ; process surface ; Quality ; Restoration ; soil and water losses ; Soil fertility ; soil quality integrated index ; Soil sciences ; Soils ; Vegetation ; Vegetation cover ; Water resources</subject><ispartof>Pedosphere, 2017-08, Vol.27 (4), p.778-787</ispartof><rights>2017 Soil Science Society of China</rights><rights>Copyright Elsevier Science Ltd. Aug 2017</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-30ec723a8cfe4bcd610d0c8d5a6e82f928395a9b845e39f0d04eef8fbe05db63</citedby><cites>FETCH-LOGICAL-c368t-30ec723a8cfe4bcd610d0c8d5a6e82f928395a9b845e39f0d04eef8fbe05db63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.wanfangdata.com.cn/images/PeriodicalImages/trq-e/trq-e.jpg</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/S1002-0160(17)60373-4$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>CHEN, Zhiqiang</creatorcontrib><creatorcontrib>CHEN, Zhibiao</creatorcontrib><creatorcontrib>BAI, Liyue</creatorcontrib><creatorcontrib>ZENG, Yuee</creatorcontrib><title>A Catastrophe Model to Assess Soil Restoration Under Ecological Restoration in the Red Soil Hilly Region of China</title><title>Pedosphere</title><description>Current methods that utilize simple data or models to evaluate soil restoration under ecological restoration are not sufficiently rigorous. Soil restoration under ecological restoration measures was evaluated in the red soil hilly region of China by applying the catastrophe model. Among 89 soil sites selected, 26 (29.21%) were in the middle lobe, 10 (11.24%) in the upper lobe, and 53 (70.79%) in the lower lobe of the process surface in the Cusp catastrophe model. The catastrophic direction of the 26 unstable soil sites was to the upper lobe of the process surface according to vegetation cover change and fieldwork. There was a significant negative correlation of the variation in bifurcation set (Δ value) with vegetation cover increase, and a higher vegetation cover increase was related to higher unstable probability. The four ecological restoration measures were listed in the order: low-quality forest improvement (LQFI) > arbor-bush-herb mixed plantation (ABHMP) > orchard improvement (OI) > closing measures (CM) according to the proportions of unstable soil sites, which were all higher than no restoration measure, while they were in the order: LQFI < ABHMP < OI < CM according to their Δ values, which were all lower than those of no restoration measure. Farmers' assessment of soil restoration under the four ecological restoration measures was in accordance with the proportions of unstable soil sites and inversely proportional to the Δ value. Therefore, farmers' assessment can prove the evaluation of soil restoration under ecological restoration measures based on catastrophe model.</description><subject>3S technologies</subject><subject>Bifurcations</subject><subject>Catastrophe theory</subject><subject>Catastrophes</subject><subject>Cusp catastrophe model</subject><subject>Ecological monitoring</subject><subject>Environmental restoration</subject><subject>Farmers</subject><subject>farmers' assessment</subject><subject>Fieldwork</subject><subject>Plantations</subject><subject>process surface</subject><subject>Quality</subject><subject>Restoration</subject><subject>soil and water losses</subject><subject>Soil fertility</subject><subject>soil quality integrated index</subject><subject>Soil sciences</subject><subject>Soils</subject><subject>Vegetation</subject><subject>Vegetation cover</subject><subject>Water resources</subject><issn>1002-0160</issn><issn>2210-5107</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqFkVtLXDEUhYO04Gj7E4SAIPbh2L1z7k8yDN5AKah9DplkZ4ycnswkUfHfN-Mpik99SsL61trsLMYOEE4QsPl5hwCiyDc4xvZHA2VbFtUOmwmBUNQI7Rc2e0d22V6MjwAV9ogztpnzhUoqpuDXD8RvvKGBJ8_nMVKM_M67gd9STD6o5PzIf4-GAj_TfvArp9Vn0Y085ZBbMpPx0g3Da36utqK3fPHgRvWNfbVqiPT937nP7s_P7heXxfWvi6vF_LrQZdOlogTSrShVpy1VS20aBAO6M7VqqBO2F13Z16pfdlVNZW-zWBHZzi4JarNsyn12NMW-qNGqcSUf_VMY80CZwkaSAGyhAhQZPJzAdfCbp7zNBymg7bDGutpS9UTp4GMMZOU6uD8qvEoEuW1BvrUgt18ssZVvLcgq-04nH-VVnx0FGbWjUZNxgXSSxrv_JPwF--yOSQ</recordid><startdate>20170801</startdate><enddate>20170801</enddate><creator>CHEN, Zhiqiang</creator><creator>CHEN, Zhibiao</creator><creator>BAI, Liyue</creator><creator>ZENG, Yuee</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><general>School of Geographical Sciences, Fujian Normal University, Fuzhou 350007 China</general><general>Institute of Geography Sciences, Fujian Normal University, Fuzhou 350007 China%Rural Work Research Center of Fujian Agriculture Department, Fuzhou 350007 China%School of Geographical Sciences, Fujian Normal University, Fuzhou 350007 China</general><general>State Key Laboratory of Humid Subtropical Mountain Ecology, Fuzhou 350007 China</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20170801</creationdate><title>A Catastrophe Model to Assess Soil Restoration Under Ecological Restoration in the Red Soil Hilly Region of China</title><author>CHEN, Zhiqiang ; CHEN, Zhibiao ; BAI, Liyue ; ZENG, Yuee</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-30ec723a8cfe4bcd610d0c8d5a6e82f928395a9b845e39f0d04eef8fbe05db63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>3S technologies</topic><topic>Bifurcations</topic><topic>Catastrophe theory</topic><topic>Catastrophes</topic><topic>Cusp catastrophe model</topic><topic>Ecological monitoring</topic><topic>Environmental restoration</topic><topic>Farmers</topic><topic>farmers' assessment</topic><topic>Fieldwork</topic><topic>Plantations</topic><topic>process surface</topic><topic>Quality</topic><topic>Restoration</topic><topic>soil and water losses</topic><topic>Soil fertility</topic><topic>soil quality integrated index</topic><topic>Soil sciences</topic><topic>Soils</topic><topic>Vegetation</topic><topic>Vegetation cover</topic><topic>Water resources</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>CHEN, Zhiqiang</creatorcontrib><creatorcontrib>CHEN, Zhibiao</creatorcontrib><creatorcontrib>BAI, Liyue</creatorcontrib><creatorcontrib>ZENG, Yuee</creatorcontrib><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Pedosphere</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>CHEN, Zhiqiang</au><au>CHEN, Zhibiao</au><au>BAI, Liyue</au><au>ZENG, Yuee</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Catastrophe Model to Assess Soil Restoration Under Ecological Restoration in the Red Soil Hilly Region of China</atitle><jtitle>Pedosphere</jtitle><date>2017-08-01</date><risdate>2017</risdate><volume>27</volume><issue>4</issue><spage>778</spage><epage>787</epage><pages>778-787</pages><issn>1002-0160</issn><eissn>2210-5107</eissn><abstract>Current methods that utilize simple data or models to evaluate soil restoration under ecological restoration are not sufficiently rigorous. Soil restoration under ecological restoration measures was evaluated in the red soil hilly region of China by applying the catastrophe model. Among 89 soil sites selected, 26 (29.21%) were in the middle lobe, 10 (11.24%) in the upper lobe, and 53 (70.79%) in the lower lobe of the process surface in the Cusp catastrophe model. The catastrophic direction of the 26 unstable soil sites was to the upper lobe of the process surface according to vegetation cover change and fieldwork. There was a significant negative correlation of the variation in bifurcation set (Δ value) with vegetation cover increase, and a higher vegetation cover increase was related to higher unstable probability. The four ecological restoration measures were listed in the order: low-quality forest improvement (LQFI) > arbor-bush-herb mixed plantation (ABHMP) > orchard improvement (OI) > closing measures (CM) according to the proportions of unstable soil sites, which were all higher than no restoration measure, while they were in the order: LQFI < ABHMP < OI < CM according to their Δ values, which were all lower than those of no restoration measure. Farmers' assessment of soil restoration under the four ecological restoration measures was in accordance with the proportions of unstable soil sites and inversely proportional to the Δ value. Therefore, farmers' assessment can prove the evaluation of soil restoration under ecological restoration measures based on catastrophe model.</abstract><cop>Beijing</cop><pub>Elsevier Ltd</pub><doi>10.1016/S1002-0160(17)60373-4</doi><tpages>10</tpages></addata></record> |
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subjects | 3S technologies Bifurcations Catastrophe theory Catastrophes Cusp catastrophe model Ecological monitoring Environmental restoration Farmers farmers' assessment Fieldwork Plantations process surface Quality Restoration soil and water losses Soil fertility soil quality integrated index Soil sciences Soils Vegetation Vegetation cover Water resources |
title | A Catastrophe Model to Assess Soil Restoration Under Ecological Restoration in the Red Soil Hilly Region of China |
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