Loading…
Changes in Remotely Sensed Vegetation Growth Trend in the Heihe Basin of Arid Northwestern China
The Heihe River Basin (HRB) is the second largest inland river basin in China, characterized by high diversity in geomorphology and irrigated agriculture in middle reaches. To improve the knowledge about the relationship between biotic and hydrological processes, this study used Global Inventory Mod...
Saved in:
Published in: | PloS one 2015-08, Vol.10 (8), p.e0135376-e0135376 |
---|---|
Main Authors: | , , , , |
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-c692t-27e017c9e9bdf864f30d9c25beaac76ab071cd85df540c7308a8595a6dc7ad873 |
---|---|
cites | cdi_FETCH-LOGICAL-c692t-27e017c9e9bdf864f30d9c25beaac76ab071cd85df540c7308a8595a6dc7ad873 |
container_end_page | e0135376 |
container_issue | 8 |
container_start_page | e0135376 |
container_title | PloS one |
container_volume | 10 |
creator | Sun, Wenchao Song, Hao Yao, Xiaolei Ishidaira, Hiroshi Xu, Zongxue |
description | The Heihe River Basin (HRB) is the second largest inland river basin in China, characterized by high diversity in geomorphology and irrigated agriculture in middle reaches. To improve the knowledge about the relationship between biotic and hydrological processes, this study used Global Inventory Modeling and Mapping Studies Normalized Difference Vegetation Index (NDVI) data (1982-2006) to analyze spatiotemporal variations in vegetation growth by using the Mann-Kendall test together with Sen's slope estimator. The results indicate that 10.1% and 1.6% of basin area exhibit statistically significant (p < 0.05) upward and downward trends, and maximum magnitude is 0.066/10a and 0.026/10a, respectively. More specifically, an increasing trend was observed in the Qilian Mountains and Hexi Corridor and a decreasing trend detected in the transitional region between them. Increases in precipitation and temperature may be one possible reason for the changes of vegetation growth in the Qilian Mountains. And decreasing trend in transitional region may be driven by the changes in precipitation. Increases of irrigation contribute to the upward trend of NDVI for cropland in the Hexi Corridor, reflecting that agricultural development becomes more intensive. Our study demonstrates the complexity of the response of vegetation growth in the HRB to climate change and anthropogenic activities and correspondingly adopting mechanistic ecological models capable of describing both factors is favorable for reasonable predictions of future vegetation growth. It is also indicated that improving irrigation water use efficiency is one practical strategy to balance water demand between human and natural ecosystems in the HRB. |
doi_str_mv | 10.1371/journal.pone.0135376 |
format | article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1717502332</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A425872114</galeid><doaj_id>oai_doaj_org_article_3c342fb520f04437b3959f9c8058c046</doaj_id><sourcerecordid>A425872114</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-27e017c9e9bdf864f30d9c25beaac76ab071cd85df540c7308a8595a6dc7ad873</originalsourceid><addsrcrecordid>eNqNk99v0zAQxyMEYmPwHyCIhITgocWxYzt5QSoVbJUmJm1jr8ZxLo2n1O5sh7H_HodmU4P2gCz55-e-Pp_vkuR1huYZ4dmna9s7I7v51hqYo4xQwtmT5DArCZ4xjMjTvflB8sL7a4QoKRh7nhxghoucUXaY_Fy20qzBp9qk57CxAbq79AKMhzq9gjUEGbQ16bGzt6FNLx2YekBDC-kJ6Nh_kT6ubZMunK7T79aF9hZ8AGfSZauNfJk8a2Tn4dU4HiU_vn29XJ7MTs-OV8vF6UyxEocZ5oAyrkooq7opWN4QVJcK0wqkVJzJCvFM1QWtG5ojxQkqZEFLKlmtuKwLTo6StzvdbWe9GIPjRcYzThEmBEditSNqK6_F1umNdHfCSi3-bli3FtIFrToQRJEcNxXFqEF5TnhFSlo2pSoQLRTKWdT6PN7WVxuoFZjgZDcRnZ4Y3Yq1_SXy6H5OiijwYRRw9qaPARMb7RV0nTRg-8FvRDkhBA1-v_sHffx1I7WW8QHaNDbeqwZRscgxLTjOsjxS80eo2GrYaBUzqdFxf2LwcWIQmQC_w1r23ovVxfn_s2dXU_b9HtuC7ELrbdcP2eanYL4DlbPeO2gegpwhMRTCfTTEUAhiLIRo9mb_gx6M7jOf_AG-FAGD</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1717502332</pqid></control><display><type>article</type><title>Changes in Remotely Sensed Vegetation Growth Trend in the Heihe Basin of Arid Northwestern China</title><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><source>PubMed</source><creator>Sun, Wenchao ; Song, Hao ; Yao, Xiaolei ; Ishidaira, Hiroshi ; Xu, Zongxue</creator><contributor>Zang, RunGuo</contributor><creatorcontrib>Sun, Wenchao ; Song, Hao ; Yao, Xiaolei ; Ishidaira, Hiroshi ; Xu, Zongxue ; Zang, RunGuo</creatorcontrib><description>The Heihe River Basin (HRB) is the second largest inland river basin in China, characterized by high diversity in geomorphology and irrigated agriculture in middle reaches. To improve the knowledge about the relationship between biotic and hydrological processes, this study used Global Inventory Modeling and Mapping Studies Normalized Difference Vegetation Index (NDVI) data (1982-2006) to analyze spatiotemporal variations in vegetation growth by using the Mann-Kendall test together with Sen's slope estimator. The results indicate that 10.1% and 1.6% of basin area exhibit statistically significant (p < 0.05) upward and downward trends, and maximum magnitude is 0.066/10a and 0.026/10a, respectively. More specifically, an increasing trend was observed in the Qilian Mountains and Hexi Corridor and a decreasing trend detected in the transitional region between them. Increases in precipitation and temperature may be one possible reason for the changes of vegetation growth in the Qilian Mountains. And decreasing trend in transitional region may be driven by the changes in precipitation. Increases of irrigation contribute to the upward trend of NDVI for cropland in the Hexi Corridor, reflecting that agricultural development becomes more intensive. Our study demonstrates the complexity of the response of vegetation growth in the HRB to climate change and anthropogenic activities and correspondingly adopting mechanistic ecological models capable of describing both factors is favorable for reasonable predictions of future vegetation growth. It is also indicated that improving irrigation water use efficiency is one practical strategy to balance water demand between human and natural ecosystems in the HRB.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0135376</identifier><identifier>PMID: 26284656</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Agricultural development ; Agricultural land ; Agriculture ; Analysis ; Anthropogenic factors ; Aridity ; China ; Climate and vegetation ; Climate Change ; Climate models ; Data processing ; Ecological models ; Ecosystem ; Ecosystems ; Environmental changes ; Environmental Monitoring ; Geomorphology ; Groundwater ; Growth ; Humans ; Hydrologic cycle ; Hydrologic models ; Hydrologic processes ; Hydrologic studies ; Hydrology ; Irrigation ; Irrigation efficiency ; Irrigation water ; Models, Theoretical ; Mountains ; Normalized difference vegetative index ; Precipitation ; Precipitation (Meteorology) ; Rainfall ; Remote sensing ; River basins ; River ecology ; Rivers ; Seasons ; Statistical analysis ; Studies ; Temperature ; Time series ; Trends ; Vegetation ; Vegetation growth ; Vegetation index ; Water demand ; Water Resources ; Water use ; Water use efficiency</subject><ispartof>PloS one, 2015-08, Vol.10 (8), p.e0135376-e0135376</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Sun et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Sun et al 2015 Sun et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-27e017c9e9bdf864f30d9c25beaac76ab071cd85df540c7308a8595a6dc7ad873</citedby><cites>FETCH-LOGICAL-c692t-27e017c9e9bdf864f30d9c25beaac76ab071cd85df540c7308a8595a6dc7ad873</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1717502332/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1717502332?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,74998</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26284656$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Zang, RunGuo</contributor><creatorcontrib>Sun, Wenchao</creatorcontrib><creatorcontrib>Song, Hao</creatorcontrib><creatorcontrib>Yao, Xiaolei</creatorcontrib><creatorcontrib>Ishidaira, Hiroshi</creatorcontrib><creatorcontrib>Xu, Zongxue</creatorcontrib><title>Changes in Remotely Sensed Vegetation Growth Trend in the Heihe Basin of Arid Northwestern China</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The Heihe River Basin (HRB) is the second largest inland river basin in China, characterized by high diversity in geomorphology and irrigated agriculture in middle reaches. To improve the knowledge about the relationship between biotic and hydrological processes, this study used Global Inventory Modeling and Mapping Studies Normalized Difference Vegetation Index (NDVI) data (1982-2006) to analyze spatiotemporal variations in vegetation growth by using the Mann-Kendall test together with Sen's slope estimator. The results indicate that 10.1% and 1.6% of basin area exhibit statistically significant (p < 0.05) upward and downward trends, and maximum magnitude is 0.066/10a and 0.026/10a, respectively. More specifically, an increasing trend was observed in the Qilian Mountains and Hexi Corridor and a decreasing trend detected in the transitional region between them. Increases in precipitation and temperature may be one possible reason for the changes of vegetation growth in the Qilian Mountains. And decreasing trend in transitional region may be driven by the changes in precipitation. Increases of irrigation contribute to the upward trend of NDVI for cropland in the Hexi Corridor, reflecting that agricultural development becomes more intensive. Our study demonstrates the complexity of the response of vegetation growth in the HRB to climate change and anthropogenic activities and correspondingly adopting mechanistic ecological models capable of describing both factors is favorable for reasonable predictions of future vegetation growth. It is also indicated that improving irrigation water use efficiency is one practical strategy to balance water demand between human and natural ecosystems in the HRB.</description><subject>Agricultural development</subject><subject>Agricultural land</subject><subject>Agriculture</subject><subject>Analysis</subject><subject>Anthropogenic factors</subject><subject>Aridity</subject><subject>China</subject><subject>Climate and vegetation</subject><subject>Climate Change</subject><subject>Climate models</subject><subject>Data processing</subject><subject>Ecological models</subject><subject>Ecosystem</subject><subject>Ecosystems</subject><subject>Environmental changes</subject><subject>Environmental Monitoring</subject><subject>Geomorphology</subject><subject>Groundwater</subject><subject>Growth</subject><subject>Humans</subject><subject>Hydrologic cycle</subject><subject>Hydrologic models</subject><subject>Hydrologic processes</subject><subject>Hydrologic studies</subject><subject>Hydrology</subject><subject>Irrigation</subject><subject>Irrigation efficiency</subject><subject>Irrigation water</subject><subject>Models, Theoretical</subject><subject>Mountains</subject><subject>Normalized difference vegetative index</subject><subject>Precipitation</subject><subject>Precipitation (Meteorology)</subject><subject>Rainfall</subject><subject>Remote sensing</subject><subject>River basins</subject><subject>River ecology</subject><subject>Rivers</subject><subject>Seasons</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Temperature</subject><subject>Time series</subject><subject>Trends</subject><subject>Vegetation</subject><subject>Vegetation growth</subject><subject>Vegetation index</subject><subject>Water demand</subject><subject>Water Resources</subject><subject>Water use</subject><subject>Water use efficiency</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk99v0zAQxyMEYmPwHyCIhITgocWxYzt5QSoVbJUmJm1jr8ZxLo2n1O5sh7H_HodmU4P2gCz55-e-Pp_vkuR1huYZ4dmna9s7I7v51hqYo4xQwtmT5DArCZ4xjMjTvflB8sL7a4QoKRh7nhxghoucUXaY_Fy20qzBp9qk57CxAbq79AKMhzq9gjUEGbQ16bGzt6FNLx2YekBDC-kJ6Nh_kT6ubZMunK7T79aF9hZ8AGfSZauNfJk8a2Tn4dU4HiU_vn29XJ7MTs-OV8vF6UyxEocZ5oAyrkooq7opWN4QVJcK0wqkVJzJCvFM1QWtG5ojxQkqZEFLKlmtuKwLTo6StzvdbWe9GIPjRcYzThEmBEditSNqK6_F1umNdHfCSi3-bli3FtIFrToQRJEcNxXFqEF5TnhFSlo2pSoQLRTKWdT6PN7WVxuoFZjgZDcRnZ4Y3Yq1_SXy6H5OiijwYRRw9qaPARMb7RV0nTRg-8FvRDkhBA1-v_sHffx1I7WW8QHaNDbeqwZRscgxLTjOsjxS80eo2GrYaBUzqdFxf2LwcWIQmQC_w1r23ovVxfn_s2dXU_b9HtuC7ELrbdcP2eanYL4DlbPeO2gegpwhMRTCfTTEUAhiLIRo9mb_gx6M7jOf_AG-FAGD</recordid><startdate>20150818</startdate><enddate>20150818</enddate><creator>Sun, Wenchao</creator><creator>Song, Hao</creator><creator>Yao, Xiaolei</creator><creator>Ishidaira, Hiroshi</creator><creator>Xu, Zongxue</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20150818</creationdate><title>Changes in Remotely Sensed Vegetation Growth Trend in the Heihe Basin of Arid Northwestern China</title><author>Sun, Wenchao ; Song, Hao ; Yao, Xiaolei ; Ishidaira, Hiroshi ; Xu, Zongxue</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-27e017c9e9bdf864f30d9c25beaac76ab071cd85df540c7308a8595a6dc7ad873</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Agricultural development</topic><topic>Agricultural land</topic><topic>Agriculture</topic><topic>Analysis</topic><topic>Anthropogenic factors</topic><topic>Aridity</topic><topic>China</topic><topic>Climate and vegetation</topic><topic>Climate Change</topic><topic>Climate models</topic><topic>Data processing</topic><topic>Ecological models</topic><topic>Ecosystem</topic><topic>Ecosystems</topic><topic>Environmental changes</topic><topic>Environmental Monitoring</topic><topic>Geomorphology</topic><topic>Groundwater</topic><topic>Growth</topic><topic>Humans</topic><topic>Hydrologic cycle</topic><topic>Hydrologic models</topic><topic>Hydrologic processes</topic><topic>Hydrologic studies</topic><topic>Hydrology</topic><topic>Irrigation</topic><topic>Irrigation efficiency</topic><topic>Irrigation water</topic><topic>Models, Theoretical</topic><topic>Mountains</topic><topic>Normalized difference vegetative index</topic><topic>Precipitation</topic><topic>Precipitation (Meteorology)</topic><topic>Rainfall</topic><topic>Remote sensing</topic><topic>River basins</topic><topic>River ecology</topic><topic>Rivers</topic><topic>Seasons</topic><topic>Statistical analysis</topic><topic>Studies</topic><topic>Temperature</topic><topic>Time series</topic><topic>Trends</topic><topic>Vegetation</topic><topic>Vegetation growth</topic><topic>Vegetation index</topic><topic>Water demand</topic><topic>Water Resources</topic><topic>Water use</topic><topic>Water use efficiency</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sun, Wenchao</creatorcontrib><creatorcontrib>Song, Hao</creatorcontrib><creatorcontrib>Yao, Xiaolei</creatorcontrib><creatorcontrib>Ishidaira, Hiroshi</creatorcontrib><creatorcontrib>Xu, Zongxue</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale_Opposing Viewpoints In Context</collection><collection>Science (Gale in Context)</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Database (1962 - current)</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>https://resources.nclive.org/materials</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>Biological Sciences</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sun, Wenchao</au><au>Song, Hao</au><au>Yao, Xiaolei</au><au>Ishidaira, Hiroshi</au><au>Xu, Zongxue</au><au>Zang, RunGuo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Changes in Remotely Sensed Vegetation Growth Trend in the Heihe Basin of Arid Northwestern China</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-08-18</date><risdate>2015</risdate><volume>10</volume><issue>8</issue><spage>e0135376</spage><epage>e0135376</epage><pages>e0135376-e0135376</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The Heihe River Basin (HRB) is the second largest inland river basin in China, characterized by high diversity in geomorphology and irrigated agriculture in middle reaches. To improve the knowledge about the relationship between biotic and hydrological processes, this study used Global Inventory Modeling and Mapping Studies Normalized Difference Vegetation Index (NDVI) data (1982-2006) to analyze spatiotemporal variations in vegetation growth by using the Mann-Kendall test together with Sen's slope estimator. The results indicate that 10.1% and 1.6% of basin area exhibit statistically significant (p < 0.05) upward and downward trends, and maximum magnitude is 0.066/10a and 0.026/10a, respectively. More specifically, an increasing trend was observed in the Qilian Mountains and Hexi Corridor and a decreasing trend detected in the transitional region between them. Increases in precipitation and temperature may be one possible reason for the changes of vegetation growth in the Qilian Mountains. And decreasing trend in transitional region may be driven by the changes in precipitation. Increases of irrigation contribute to the upward trend of NDVI for cropland in the Hexi Corridor, reflecting that agricultural development becomes more intensive. Our study demonstrates the complexity of the response of vegetation growth in the HRB to climate change and anthropogenic activities and correspondingly adopting mechanistic ecological models capable of describing both factors is favorable for reasonable predictions of future vegetation growth. It is also indicated that improving irrigation water use efficiency is one practical strategy to balance water demand between human and natural ecosystems in the HRB.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26284656</pmid><doi>10.1371/journal.pone.0135376</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2015-08, Vol.10 (8), p.e0135376-e0135376 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1717502332 |
source | Publicly Available Content Database (Proquest) (PQ_SDU_P3); PubMed |
subjects | Agricultural development Agricultural land Agriculture Analysis Anthropogenic factors Aridity China Climate and vegetation Climate Change Climate models Data processing Ecological models Ecosystem Ecosystems Environmental changes Environmental Monitoring Geomorphology Groundwater Growth Humans Hydrologic cycle Hydrologic models Hydrologic processes Hydrologic studies Hydrology Irrigation Irrigation efficiency Irrigation water Models, Theoretical Mountains Normalized difference vegetative index Precipitation Precipitation (Meteorology) Rainfall Remote sensing River basins River ecology Rivers Seasons Statistical analysis Studies Temperature Time series Trends Vegetation Vegetation growth Vegetation index Water demand Water Resources Water use Water use efficiency |
title | Changes in Remotely Sensed Vegetation Growth Trend in the Heihe Basin of Arid Northwestern China |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T20%3A09%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Changes%20in%20Remotely%20Sensed%20Vegetation%20Growth%20Trend%20in%20the%20Heihe%20Basin%20of%20Arid%20Northwestern%20China&rft.jtitle=PloS%20one&rft.au=Sun,%20Wenchao&rft.date=2015-08-18&rft.volume=10&rft.issue=8&rft.spage=e0135376&rft.epage=e0135376&rft.pages=e0135376-e0135376&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0135376&rft_dat=%3Cgale_plos_%3EA425872114%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c692t-27e017c9e9bdf864f30d9c25beaac76ab071cd85df540c7308a8595a6dc7ad873%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1717502332&rft_id=info:pmid/26284656&rft_galeid=A425872114&rfr_iscdi=true |