Loading…

Spatial variability of the nutrient balance and related NPSP risk analysis for agro-ecosystems in China in 2010

•A comprehensive and updatable nutrient database for 2464 counties in China in 2010 is presented.•A mathematical model based on nutrient balance database is developed.•Spatial variability of the nutrient balance and related NPSP analysis for agro-ecosystems were analysed.•The nutrient audit system o...

Full description

Saved in:
Bibliographic Details
Published in:Agriculture, ecosystems & environment ecosystems & environment, 2014-08, Vol.193, p.42-52
Main Authors: Wang, Xuelei, Feng, Aiping, Wang, Qiao, Wu, Chuanqing, Liu, Zhong, Ma, Zusheng, Wei, Xinfeng
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c396t-c89bffeefa68cbe394fc8381679340f3b065c62828d662289db8e8d34b85cd5b3
cites cdi_FETCH-LOGICAL-c396t-c89bffeefa68cbe394fc8381679340f3b065c62828d662289db8e8d34b85cd5b3
container_end_page 52
container_issue
container_start_page 42
container_title Agriculture, ecosystems & environment
container_volume 193
creator Wang, Xuelei
Feng, Aiping
Wang, Qiao
Wu, Chuanqing
Liu, Zhong
Ma, Zusheng
Wei, Xinfeng
description •A comprehensive and updatable nutrient database for 2464 counties in China in 2010 is presented.•A mathematical model based on nutrient balance database is developed.•Spatial variability of the nutrient balance and related NPSP analysis for agro-ecosystems were analysed.•The nutrient audit system on a macro level contributes to the environmental policymaking. The nutrient budget is an effective indicator of non-point source pollutions (NPSP). The increasingly serious NPSP in China highlights the need for a method to estimate the nutrient balance on a macro level to provide technological support to politicians and policy makers. In this paper, a mathematical model and a comprehensive nutrient database were built on a county level in China. For 2010 in China, more than 196,000 data items with 2464 records and 80 fields exist in the calculation. Coupling the land use data in 2010 with an original resolution of 30m, the spatial variability of the nitrogen (N) and phosphorus (P) balances were mapped and analysed by resampling to 250m. The results demonstrated that the total N and P input for China was 42.7 and 10.6 million tonnes, respectively, with outputs of 35.7 and 3.8 million tonnes, respectively. The estimation of the nutrient balances revealed that the total amount of N surplus was 6.95 million tonnes, equivalent to an average of 5.96tNkm−2 and ranged between −25.90tkm−2 and 89.63tkm−2 for individual counties. Additionally, the total P surplus was 6.75 million tonnes, and the average P surplus of 5.27tkm−2, which ranged between −9.71tkm−2 and 77.44tkm−2 for individual counties. With the farmland and orchard information interpreted by remote sensing data, the spatial distribution of the nutrient balances demonstrated that both the agricultural land and nutrient balance were uneven, and the surplus of N and P were largest in the east and northeast parts of China. The relationship between the chemical fertiliser inputs, outputs and nutrient balances indicated that chemical fertiliser inputs positively correlated with the nutrient balances, and at present in China, chemical fertiliser effectively managed the agricultural eco-environment, especially the P fertiliser. Thus, reducing the rate of chemical fertiliser applied and enhancing the nutrient use efficiency should help reduce the risk of NPSP.
doi_str_mv 10.1016/j.agee.2014.04.027
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1642231509</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0167880914002448</els_id><sourcerecordid>1642231509</sourcerecordid><originalsourceid>FETCH-LOGICAL-c396t-c89bffeefa68cbe394fc8381679340f3b065c62828d662289db8e8d34b85cd5b3</originalsourceid><addsrcrecordid>eNqNkU2LFDEQhoMoOK7-AU-5CF56zEd3Og1eZPALFl1YPYfqdGU3Y09nTGUW5t-bZhaPYihICE-9Sb0vY6-l2Eohzbv9Fu4Qt0rIditqqf4J20jb60Zp0T1lmwr1jbVieM5eEO1FXUrbDUu3RygRZv4AOcIY51jOPAVe7pEvp5IjLoWPMMPikcMy8YwzFJz4t5vbG54j_aq3MJ8pEg8pc7jLqUGf6EwFD8Tjwnf3cYH1UH8nXrJnAWbCV4_7Ffv56eOP3Zfm-vvnr7sP143XgymNt8MYAmIAY_2IemiDt9rWIQbdiqBHYTpvlFV2MkYpO0yjRTvpdrSdn7pRX7G3F91jTr9PSMUdInmc6yCYTuSkaZXSshPDf6CqH4xtlamouqA-J6KMwR1zPEA-OyncGoTbuzUItwbhRC3V16Y3j_pAHuaQq5eR_nYq2ykr9Sr-_sJh9eUhYnbkq_0ep5jRFzel-K9n_gDQGJ3R</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1627968426</pqid></control><display><type>article</type><title>Spatial variability of the nutrient balance and related NPSP risk analysis for agro-ecosystems in China in 2010</title><source>ScienceDirect Freedom Collection</source><creator>Wang, Xuelei ; Feng, Aiping ; Wang, Qiao ; Wu, Chuanqing ; Liu, Zhong ; Ma, Zusheng ; Wei, Xinfeng</creator><creatorcontrib>Wang, Xuelei ; Feng, Aiping ; Wang, Qiao ; Wu, Chuanqing ; Liu, Zhong ; Ma, Zusheng ; Wei, Xinfeng</creatorcontrib><description>•A comprehensive and updatable nutrient database for 2464 counties in China in 2010 is presented.•A mathematical model based on nutrient balance database is developed.•Spatial variability of the nutrient balance and related NPSP analysis for agro-ecosystems were analysed.•The nutrient audit system on a macro level contributes to the environmental policymaking. The nutrient budget is an effective indicator of non-point source pollutions (NPSP). The increasingly serious NPSP in China highlights the need for a method to estimate the nutrient balance on a macro level to provide technological support to politicians and policy makers. In this paper, a mathematical model and a comprehensive nutrient database were built on a county level in China. For 2010 in China, more than 196,000 data items with 2464 records and 80 fields exist in the calculation. Coupling the land use data in 2010 with an original resolution of 30m, the spatial variability of the nitrogen (N) and phosphorus (P) balances were mapped and analysed by resampling to 250m. The results demonstrated that the total N and P input for China was 42.7 and 10.6 million tonnes, respectively, with outputs of 35.7 and 3.8 million tonnes, respectively. The estimation of the nutrient balances revealed that the total amount of N surplus was 6.95 million tonnes, equivalent to an average of 5.96tNkm−2 and ranged between −25.90tkm−2 and 89.63tkm−2 for individual counties. Additionally, the total P surplus was 6.75 million tonnes, and the average P surplus of 5.27tkm−2, which ranged between −9.71tkm−2 and 77.44tkm−2 for individual counties. With the farmland and orchard information interpreted by remote sensing data, the spatial distribution of the nutrient balances demonstrated that both the agricultural land and nutrient balance were uneven, and the surplus of N and P were largest in the east and northeast parts of China. The relationship between the chemical fertiliser inputs, outputs and nutrient balances indicated that chemical fertiliser inputs positively correlated with the nutrient balances, and at present in China, chemical fertiliser effectively managed the agricultural eco-environment, especially the P fertiliser. Thus, reducing the rate of chemical fertiliser applied and enhancing the nutrient use efficiency should help reduce the risk of NPSP.</description><identifier>ISSN: 0167-8809</identifier><identifier>EISSN: 1873-2305</identifier><identifier>DOI: 10.1016/j.agee.2014.04.027</identifier><identifier>CODEN: AEENDO</identifier><language>eng</language><publisher>Oxford: Elsevier B.V</publisher><subject>Agronomy. Soil science and plant productions ; Balancing ; Biological and medical sciences ; China ; Farming ; Farmlands ; Farms ; Fundamental and applied biological sciences. Psychology ; General agroecology ; General agroecology. Agricultural and farming systems. Agricultural development. Rural area planning. Landscaping ; General agronomy. Plant production ; Generalities. Agricultural and farming systems. Agricultural development ; Land use ; Mathematical models ; Nitrogen balance ; Nutrient budget ; Nutrients ; Phosphorus balance ; Spatial variability</subject><ispartof>Agriculture, ecosystems &amp; environment, 2014-08, Vol.193, p.42-52</ispartof><rights>2014 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-c89bffeefa68cbe394fc8381679340f3b065c62828d662289db8e8d34b85cd5b3</citedby><cites>FETCH-LOGICAL-c396t-c89bffeefa68cbe394fc8381679340f3b065c62828d662289db8e8d34b85cd5b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=28528136$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Xuelei</creatorcontrib><creatorcontrib>Feng, Aiping</creatorcontrib><creatorcontrib>Wang, Qiao</creatorcontrib><creatorcontrib>Wu, Chuanqing</creatorcontrib><creatorcontrib>Liu, Zhong</creatorcontrib><creatorcontrib>Ma, Zusheng</creatorcontrib><creatorcontrib>Wei, Xinfeng</creatorcontrib><title>Spatial variability of the nutrient balance and related NPSP risk analysis for agro-ecosystems in China in 2010</title><title>Agriculture, ecosystems &amp; environment</title><description>•A comprehensive and updatable nutrient database for 2464 counties in China in 2010 is presented.•A mathematical model based on nutrient balance database is developed.•Spatial variability of the nutrient balance and related NPSP analysis for agro-ecosystems were analysed.•The nutrient audit system on a macro level contributes to the environmental policymaking. The nutrient budget is an effective indicator of non-point source pollutions (NPSP). The increasingly serious NPSP in China highlights the need for a method to estimate the nutrient balance on a macro level to provide technological support to politicians and policy makers. In this paper, a mathematical model and a comprehensive nutrient database were built on a county level in China. For 2010 in China, more than 196,000 data items with 2464 records and 80 fields exist in the calculation. Coupling the land use data in 2010 with an original resolution of 30m, the spatial variability of the nitrogen (N) and phosphorus (P) balances were mapped and analysed by resampling to 250m. The results demonstrated that the total N and P input for China was 42.7 and 10.6 million tonnes, respectively, with outputs of 35.7 and 3.8 million tonnes, respectively. The estimation of the nutrient balances revealed that the total amount of N surplus was 6.95 million tonnes, equivalent to an average of 5.96tNkm−2 and ranged between −25.90tkm−2 and 89.63tkm−2 for individual counties. Additionally, the total P surplus was 6.75 million tonnes, and the average P surplus of 5.27tkm−2, which ranged between −9.71tkm−2 and 77.44tkm−2 for individual counties. With the farmland and orchard information interpreted by remote sensing data, the spatial distribution of the nutrient balances demonstrated that both the agricultural land and nutrient balance were uneven, and the surplus of N and P were largest in the east and northeast parts of China. The relationship between the chemical fertiliser inputs, outputs and nutrient balances indicated that chemical fertiliser inputs positively correlated with the nutrient balances, and at present in China, chemical fertiliser effectively managed the agricultural eco-environment, especially the P fertiliser. Thus, reducing the rate of chemical fertiliser applied and enhancing the nutrient use efficiency should help reduce the risk of NPSP.</description><subject>Agronomy. Soil science and plant productions</subject><subject>Balancing</subject><subject>Biological and medical sciences</subject><subject>China</subject><subject>Farming</subject><subject>Farmlands</subject><subject>Farms</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General agroecology</subject><subject>General agroecology. Agricultural and farming systems. Agricultural development. Rural area planning. Landscaping</subject><subject>General agronomy. Plant production</subject><subject>Generalities. Agricultural and farming systems. Agricultural development</subject><subject>Land use</subject><subject>Mathematical models</subject><subject>Nitrogen balance</subject><subject>Nutrient budget</subject><subject>Nutrients</subject><subject>Phosphorus balance</subject><subject>Spatial variability</subject><issn>0167-8809</issn><issn>1873-2305</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqNkU2LFDEQhoMoOK7-AU-5CF56zEd3Og1eZPALFl1YPYfqdGU3Y09nTGUW5t-bZhaPYihICE-9Sb0vY6-l2Eohzbv9Fu4Qt0rIditqqf4J20jb60Zp0T1lmwr1jbVieM5eEO1FXUrbDUu3RygRZv4AOcIY51jOPAVe7pEvp5IjLoWPMMPikcMy8YwzFJz4t5vbG54j_aq3MJ8pEg8pc7jLqUGf6EwFD8Tjwnf3cYH1UH8nXrJnAWbCV4_7Ffv56eOP3Zfm-vvnr7sP143XgymNt8MYAmIAY_2IemiDt9rWIQbdiqBHYTpvlFV2MkYpO0yjRTvpdrSdn7pRX7G3F91jTr9PSMUdInmc6yCYTuSkaZXSshPDf6CqH4xtlamouqA-J6KMwR1zPEA-OyncGoTbuzUItwbhRC3V16Y3j_pAHuaQq5eR_nYq2ykr9Sr-_sJh9eUhYnbkq_0ep5jRFzel-K9n_gDQGJ3R</recordid><startdate>20140801</startdate><enddate>20140801</enddate><creator>Wang, Xuelei</creator><creator>Feng, Aiping</creator><creator>Wang, Qiao</creator><creator>Wu, Chuanqing</creator><creator>Liu, Zhong</creator><creator>Ma, Zusheng</creator><creator>Wei, Xinfeng</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7ST</scope><scope>7TV</scope><scope>7U1</scope><scope>7U2</scope><scope>7U6</scope><scope>C1K</scope><scope>SOI</scope><scope>7SU</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20140801</creationdate><title>Spatial variability of the nutrient balance and related NPSP risk analysis for agro-ecosystems in China in 2010</title><author>Wang, Xuelei ; Feng, Aiping ; Wang, Qiao ; Wu, Chuanqing ; Liu, Zhong ; Ma, Zusheng ; Wei, Xinfeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-c89bffeefa68cbe394fc8381679340f3b065c62828d662289db8e8d34b85cd5b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Balancing</topic><topic>Biological and medical sciences</topic><topic>China</topic><topic>Farming</topic><topic>Farmlands</topic><topic>Farms</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General agroecology</topic><topic>General agroecology. Agricultural and farming systems. Agricultural development. Rural area planning. Landscaping</topic><topic>General agronomy. Plant production</topic><topic>Generalities. Agricultural and farming systems. Agricultural development</topic><topic>Land use</topic><topic>Mathematical models</topic><topic>Nitrogen balance</topic><topic>Nutrient budget</topic><topic>Nutrients</topic><topic>Phosphorus balance</topic><topic>Spatial variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Xuelei</creatorcontrib><creatorcontrib>Feng, Aiping</creatorcontrib><creatorcontrib>Wang, Qiao</creatorcontrib><creatorcontrib>Wu, Chuanqing</creatorcontrib><creatorcontrib>Liu, Zhong</creatorcontrib><creatorcontrib>Ma, Zusheng</creatorcontrib><creatorcontrib>Wei, Xinfeng</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Pollution Abstracts</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Agriculture, ecosystems &amp; environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Xuelei</au><au>Feng, Aiping</au><au>Wang, Qiao</au><au>Wu, Chuanqing</au><au>Liu, Zhong</au><au>Ma, Zusheng</au><au>Wei, Xinfeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial variability of the nutrient balance and related NPSP risk analysis for agro-ecosystems in China in 2010</atitle><jtitle>Agriculture, ecosystems &amp; environment</jtitle><date>2014-08-01</date><risdate>2014</risdate><volume>193</volume><spage>42</spage><epage>52</epage><pages>42-52</pages><issn>0167-8809</issn><eissn>1873-2305</eissn><coden>AEENDO</coden><abstract>•A comprehensive and updatable nutrient database for 2464 counties in China in 2010 is presented.•A mathematical model based on nutrient balance database is developed.•Spatial variability of the nutrient balance and related NPSP analysis for agro-ecosystems were analysed.•The nutrient audit system on a macro level contributes to the environmental policymaking. The nutrient budget is an effective indicator of non-point source pollutions (NPSP). The increasingly serious NPSP in China highlights the need for a method to estimate the nutrient balance on a macro level to provide technological support to politicians and policy makers. In this paper, a mathematical model and a comprehensive nutrient database were built on a county level in China. For 2010 in China, more than 196,000 data items with 2464 records and 80 fields exist in the calculation. Coupling the land use data in 2010 with an original resolution of 30m, the spatial variability of the nitrogen (N) and phosphorus (P) balances were mapped and analysed by resampling to 250m. The results demonstrated that the total N and P input for China was 42.7 and 10.6 million tonnes, respectively, with outputs of 35.7 and 3.8 million tonnes, respectively. The estimation of the nutrient balances revealed that the total amount of N surplus was 6.95 million tonnes, equivalent to an average of 5.96tNkm−2 and ranged between −25.90tkm−2 and 89.63tkm−2 for individual counties. Additionally, the total P surplus was 6.75 million tonnes, and the average P surplus of 5.27tkm−2, which ranged between −9.71tkm−2 and 77.44tkm−2 for individual counties. With the farmland and orchard information interpreted by remote sensing data, the spatial distribution of the nutrient balances demonstrated that both the agricultural land and nutrient balance were uneven, and the surplus of N and P were largest in the east and northeast parts of China. The relationship between the chemical fertiliser inputs, outputs and nutrient balances indicated that chemical fertiliser inputs positively correlated with the nutrient balances, and at present in China, chemical fertiliser effectively managed the agricultural eco-environment, especially the P fertiliser. Thus, reducing the rate of chemical fertiliser applied and enhancing the nutrient use efficiency should help reduce the risk of NPSP.</abstract><cop>Oxford</cop><pub>Elsevier B.V</pub><doi>10.1016/j.agee.2014.04.027</doi><tpages>11</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0167-8809
ispartof Agriculture, ecosystems & environment, 2014-08, Vol.193, p.42-52
issn 0167-8809
1873-2305
language eng
recordid cdi_proquest_miscellaneous_1642231509
source ScienceDirect Freedom Collection
subjects Agronomy. Soil science and plant productions
Balancing
Biological and medical sciences
China
Farming
Farmlands
Farms
Fundamental and applied biological sciences. Psychology
General agroecology
General agroecology. Agricultural and farming systems. Agricultural development. Rural area planning. Landscaping
General agronomy. Plant production
Generalities. Agricultural and farming systems. Agricultural development
Land use
Mathematical models
Nitrogen balance
Nutrient budget
Nutrients
Phosphorus balance
Spatial variability
title Spatial variability of the nutrient balance and related NPSP risk analysis for agro-ecosystems in China in 2010
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T07%3A34%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spatial%20variability%20of%20the%20nutrient%20balance%20and%20related%20NPSP%20risk%20analysis%20for%20agro-ecosystems%20in%20China%20in%202010&rft.jtitle=Agriculture,%20ecosystems%20&%20environment&rft.au=Wang,%20Xuelei&rft.date=2014-08-01&rft.volume=193&rft.spage=42&rft.epage=52&rft.pages=42-52&rft.issn=0167-8809&rft.eissn=1873-2305&rft.coden=AEENDO&rft_id=info:doi/10.1016/j.agee.2014.04.027&rft_dat=%3Cproquest_cross%3E1642231509%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c396t-c89bffeefa68cbe394fc8381679340f3b065c62828d662289db8e8d34b85cd5b3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1627968426&rft_id=info:pmid/&rfr_iscdi=true