Impacts of climate variability and landscape pattern change on evapotranspiration in a grassland landscape mosaic
Evapotranspiration (ET), a key component of the hydrological cycle, affects the transport of water and energy in the soil–vegetation–atmosphere system. Thus, quantifying the driving forces of ET dynamics is important to ensure rational water resource utilization. Based on meteorological and satellit...
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| Veröffentlicht in: | Hydrological processes 2020-02, Vol.34 (4), p.1035-1051 |
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| description | Evapotranspiration (ET), a key component of the hydrological cycle, affects the transport of water and energy in the soil–vegetation–atmosphere system. Thus, quantifying the driving forces of ET dynamics is important to ensure rational water resource utilization. Based on meteorological and satellite data, spatiotemporal dynamics of ET were detected using the Surface Energy Balance System (SEBS) model, and effects of climate variability and landscape pattern change on ET dynamics in an arid to semiarid landscape mosaic during the growing season (April‐October) from 2001 to 2015 in Xilingol League, China were evaluated. The results indicated that (a) a significant increase (P < .05) in ET was found in the north‐eastern Xilingol League, and a significant decrease (P < .05) in ET was confined to the southwest and (b) climate variability had significant effects on ET dynamics. All climatic factors showed a positive correlation relationship with ET dynamics, and mean temperature (Ta) was the most influential climatic factor on ET dynamics followed by relative humidity (Rh), wind speed (Ws), and precipitation (Pr), respectively. The influence of landscape pattern change on ET dynamics was mainly reflected in the increase of the normalized difference vegetation index (NDVI) promoting ET dynamics. Several other landscape pattern metrics also had important impacts on ET dynamics, which were mainly reflected in the positive effect of the aggregation index (AI) on ET dynamics and the negative effects of the largest patch index (LPI), edge density (ED), and percentage of landscape (PLAND) on ET dynamics. To promote effective water resource utilization, landscape managers should continue to moderately implement vegetation restoration projects such as the Grain for Green Project, orient with conversion of low‐quality cropland into grassland, and conserve large areas of grassland. Appropriate management measures for forests and cropland scattered in the landscape mosaic, based on local climate and soil properties, as well as socioeconomic goals, are also required.
Understanding of evapotranspiration dynamic and drivers is critical to optimize water resource use. Spatiotemporal variations in evapotranspiration and the contributions of both climate and landscape pattern factors to evapotranspiration dynamics in Xilingol League during the growing season from 2001 to 2015 were analyzed. Changes in Climate factor and landscape pattern had various impacts on evapotranspiration |
| doi_str_mv | 10.1002/hyp.13642 |
| format | Article |
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Understanding of evapotranspiration dynamic and drivers is critical to optimize water resource use. Spatiotemporal variations in evapotranspiration and the contributions of both climate and landscape pattern factors to evapotranspiration dynamics in Xilingol League during the growing season from 2001 to 2015 were analyzed. Changes in Climate factor and landscape pattern had various impacts on evapotranspiration dynamics. Appropriated vegetation restoration projects in the arid or semi‐arid regions like Xilingol League were beneficial to the increase in soil moisture and adaptation to climate variability.</description><identifier>ISSN: 0885-6087</identifier><identifier>EISSN: 1099-1085</identifier><identifier>DOI: 10.1002/hyp.13642</identifier><language>eng</language><publisher>Chichester: Wiley Subscription Services, Inc</publisher><subject>Aggregation ; Agricultural land ; Aridity ; Climate ; Climate change ; Climate effects ; Climate models ; Climate variability ; driving force ; Dynamics ; ecological project ; Energy balance ; Environmental effects ; Evapotranspiration ; Forest management ; Grasslands ; Growing season ; Hydrologic cycle ; Hydrological cycle ; hydrological process ; Hydrology ; Landscape ; landscape pattern ; Local climates ; Mean temperatures ; Normalized difference vegetative index ; Relative humidity ; Resource utilization ; Restoration ; Satellite data ; SEBS model ; Socioeconomic factors ; Soil dynamics ; Soil properties ; Soils ; Surface energy ; Surface energy balance ; Surface properties ; Variability ; Vegetation ; Vegetation index ; water resource utilization ; Water resources ; Water resources management ; Wind speed</subject><ispartof>Hydrological processes, 2020-02, Vol.34 (4), p.1035-1051</ispartof><rights>2019 John Wiley & Sons, Ltd.</rights><rights>2020 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3602-9fc8a40e27f66d178b6acce6b845c484d3f5e764ba7fdd79f7a7ca51e82f235b3</citedby><cites>FETCH-LOGICAL-a3602-9fc8a40e27f66d178b6acce6b845c484d3f5e764ba7fdd79f7a7ca51e82f235b3</cites><orcidid>0000-0001-8825-1848</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fhyp.13642$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fhyp.13642$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,777,781,1412,27905,27906,45555,45556</link.rule.ids></links><search><creatorcontrib>Yu, Deyong</creatorcontrib><creatorcontrib>Li, Xiaoyuan</creatorcontrib><creatorcontrib>Cao, Qian</creatorcontrib><creatorcontrib>Hao, Ruifang</creatorcontrib><creatorcontrib>Qiao, Jianmin</creatorcontrib><title>Impacts of climate variability and landscape pattern change on evapotranspiration in a grassland landscape mosaic</title><title>Hydrological processes</title><description>Evapotranspiration (ET), a key component of the hydrological cycle, affects the transport of water and energy in the soil–vegetation–atmosphere system. Thus, quantifying the driving forces of ET dynamics is important to ensure rational water resource utilization. Based on meteorological and satellite data, spatiotemporal dynamics of ET were detected using the Surface Energy Balance System (SEBS) model, and effects of climate variability and landscape pattern change on ET dynamics in an arid to semiarid landscape mosaic during the growing season (April‐October) from 2001 to 2015 in Xilingol League, China were evaluated. The results indicated that (a) a significant increase (P < .05) in ET was found in the north‐eastern Xilingol League, and a significant decrease (P < .05) in ET was confined to the southwest and (b) climate variability had significant effects on ET dynamics. All climatic factors showed a positive correlation relationship with ET dynamics, and mean temperature (Ta) was the most influential climatic factor on ET dynamics followed by relative humidity (Rh), wind speed (Ws), and precipitation (Pr), respectively. The influence of landscape pattern change on ET dynamics was mainly reflected in the increase of the normalized difference vegetation index (NDVI) promoting ET dynamics. Several other landscape pattern metrics also had important impacts on ET dynamics, which were mainly reflected in the positive effect of the aggregation index (AI) on ET dynamics and the negative effects of the largest patch index (LPI), edge density (ED), and percentage of landscape (PLAND) on ET dynamics. To promote effective water resource utilization, landscape managers should continue to moderately implement vegetation restoration projects such as the Grain for Green Project, orient with conversion of low‐quality cropland into grassland, and conserve large areas of grassland. Appropriate management measures for forests and cropland scattered in the landscape mosaic, based on local climate and soil properties, as well as socioeconomic goals, are also required.
Understanding of evapotranspiration dynamic and drivers is critical to optimize water resource use. Spatiotemporal variations in evapotranspiration and the contributions of both climate and landscape pattern factors to evapotranspiration dynamics in Xilingol League during the growing season from 2001 to 2015 were analyzed. Changes in Climate factor and landscape pattern had various impacts on evapotranspiration dynamics. Appropriated vegetation restoration projects in the arid or semi‐arid regions like Xilingol League were beneficial to the increase in soil moisture and adaptation to climate variability.</description><subject>Aggregation</subject><subject>Agricultural land</subject><subject>Aridity</subject><subject>Climate</subject><subject>Climate change</subject><subject>Climate effects</subject><subject>Climate models</subject><subject>Climate variability</subject><subject>driving force</subject><subject>Dynamics</subject><subject>ecological project</subject><subject>Energy balance</subject><subject>Environmental effects</subject><subject>Evapotranspiration</subject><subject>Forest management</subject><subject>Grasslands</subject><subject>Growing season</subject><subject>Hydrologic cycle</subject><subject>Hydrological cycle</subject><subject>hydrological process</subject><subject>Hydrology</subject><subject>Landscape</subject><subject>landscape pattern</subject><subject>Local climates</subject><subject>Mean temperatures</subject><subject>Normalized difference vegetative index</subject><subject>Relative humidity</subject><subject>Resource utilization</subject><subject>Restoration</subject><subject>Satellite data</subject><subject>SEBS model</subject><subject>Socioeconomic factors</subject><subject>Soil dynamics</subject><subject>Soil properties</subject><subject>Soils</subject><subject>Surface energy</subject><subject>Surface energy balance</subject><subject>Surface properties</subject><subject>Variability</subject><subject>Vegetation</subject><subject>Vegetation index</subject><subject>water resource utilization</subject><subject>Water resources</subject><subject>Water resources management</subject><subject>Wind speed</subject><issn>0885-6087</issn><issn>1099-1085</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1kD1PwzAQhi0EEqUw8A8sMTGkPefDdkZUAa1UCQYYmKyLY7eu0iS106L8ewJhYWC5k-6e9056CLllMGMA8XzbtzOW8DQ-IxMGeR4xkNk5mYCUWcRBiktyFcIOAFKQMCGH1b5F3QXaWKort8fO0BN6h4WrXNdTrEtaDSVobA1tseuMr6neYr0xtKmpOWHbdB7r0DqPnRtGrqZINx5DqP6m901Ap6_JhcUqmJvfPiXvT49vi2W0fnleLR7WESYc4ii3WmIKJhaW85IJWXDU2vBCpplOZVomNjOCpwUKW5YitwKFxowZGds4yYpkSu7Gu61vDkcTOrVrjr4eXqphDzHjaR4P1P1Iad-E4I1VrR8s-F4xUN9G1WBU_Rgd2PnIfrrK9P-DavnxOia-AA3Aek0</recordid><startdate>20200215</startdate><enddate>20200215</enddate><creator>Yu, Deyong</creator><creator>Li, Xiaoyuan</creator><creator>Cao, Qian</creator><creator>Hao, Ruifang</creator><creator>Qiao, Jianmin</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0001-8825-1848</orcidid></search><sort><creationdate>20200215</creationdate><title>Impacts of climate variability and landscape pattern change on evapotranspiration in a grassland landscape mosaic</title><author>Yu, Deyong ; Li, Xiaoyuan ; Cao, Qian ; Hao, Ruifang ; Qiao, Jianmin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3602-9fc8a40e27f66d178b6acce6b845c484d3f5e764ba7fdd79f7a7ca51e82f235b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aggregation</topic><topic>Agricultural land</topic><topic>Aridity</topic><topic>Climate</topic><topic>Climate change</topic><topic>Climate effects</topic><topic>Climate models</topic><topic>Climate variability</topic><topic>driving force</topic><topic>Dynamics</topic><topic>ecological project</topic><topic>Energy balance</topic><topic>Environmental effects</topic><topic>Evapotranspiration</topic><topic>Forest management</topic><topic>Grasslands</topic><topic>Growing season</topic><topic>Hydrologic cycle</topic><topic>Hydrological cycle</topic><topic>hydrological process</topic><topic>Hydrology</topic><topic>Landscape</topic><topic>landscape pattern</topic><topic>Local climates</topic><topic>Mean temperatures</topic><topic>Normalized difference vegetative index</topic><topic>Relative humidity</topic><topic>Resource utilization</topic><topic>Restoration</topic><topic>Satellite data</topic><topic>SEBS model</topic><topic>Socioeconomic factors</topic><topic>Soil dynamics</topic><topic>Soil properties</topic><topic>Soils</topic><topic>Surface energy</topic><topic>Surface energy balance</topic><topic>Surface properties</topic><topic>Variability</topic><topic>Vegetation</topic><topic>Vegetation index</topic><topic>water resource utilization</topic><topic>Water resources</topic><topic>Water resources management</topic><topic>Wind speed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yu, Deyong</creatorcontrib><creatorcontrib>Li, Xiaoyuan</creatorcontrib><creatorcontrib>Cao, Qian</creatorcontrib><creatorcontrib>Hao, Ruifang</creatorcontrib><creatorcontrib>Qiao, Jianmin</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><jtitle>Hydrological processes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yu, Deyong</au><au>Li, Xiaoyuan</au><au>Cao, Qian</au><au>Hao, Ruifang</au><au>Qiao, Jianmin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impacts of climate variability and landscape pattern change on evapotranspiration in a grassland landscape mosaic</atitle><jtitle>Hydrological processes</jtitle><date>2020-02-15</date><risdate>2020</risdate><volume>34</volume><issue>4</issue><spage>1035</spage><epage>1051</epage><pages>1035-1051</pages><issn>0885-6087</issn><eissn>1099-1085</eissn><abstract>Evapotranspiration (ET), a key component of the hydrological cycle, affects the transport of water and energy in the soil–vegetation–atmosphere system. Thus, quantifying the driving forces of ET dynamics is important to ensure rational water resource utilization. Based on meteorological and satellite data, spatiotemporal dynamics of ET were detected using the Surface Energy Balance System (SEBS) model, and effects of climate variability and landscape pattern change on ET dynamics in an arid to semiarid landscape mosaic during the growing season (April‐October) from 2001 to 2015 in Xilingol League, China were evaluated. The results indicated that (a) a significant increase (P < .05) in ET was found in the north‐eastern Xilingol League, and a significant decrease (P < .05) in ET was confined to the southwest and (b) climate variability had significant effects on ET dynamics. All climatic factors showed a positive correlation relationship with ET dynamics, and mean temperature (Ta) was the most influential climatic factor on ET dynamics followed by relative humidity (Rh), wind speed (Ws), and precipitation (Pr), respectively. The influence of landscape pattern change on ET dynamics was mainly reflected in the increase of the normalized difference vegetation index (NDVI) promoting ET dynamics. Several other landscape pattern metrics also had important impacts on ET dynamics, which were mainly reflected in the positive effect of the aggregation index (AI) on ET dynamics and the negative effects of the largest patch index (LPI), edge density (ED), and percentage of landscape (PLAND) on ET dynamics. To promote effective water resource utilization, landscape managers should continue to moderately implement vegetation restoration projects such as the Grain for Green Project, orient with conversion of low‐quality cropland into grassland, and conserve large areas of grassland. Appropriate management measures for forests and cropland scattered in the landscape mosaic, based on local climate and soil properties, as well as socioeconomic goals, are also required.
Understanding of evapotranspiration dynamic and drivers is critical to optimize water resource use. Spatiotemporal variations in evapotranspiration and the contributions of both climate and landscape pattern factors to evapotranspiration dynamics in Xilingol League during the growing season from 2001 to 2015 were analyzed. Changes in Climate factor and landscape pattern had various impacts on evapotranspiration dynamics. Appropriated vegetation restoration projects in the arid or semi‐arid regions like Xilingol League were beneficial to the increase in soil moisture and adaptation to climate variability.</abstract><cop>Chichester</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/hyp.13642</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0001-8825-1848</orcidid></addata></record> |
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| subjects | Aggregation Agricultural land Aridity Climate Climate change Climate effects Climate models Climate variability driving force Dynamics ecological project Energy balance Environmental effects Evapotranspiration Forest management Grasslands Growing season Hydrologic cycle Hydrological cycle hydrological process Hydrology Landscape landscape pattern Local climates Mean temperatures Normalized difference vegetative index Relative humidity Resource utilization Restoration Satellite data SEBS model Socioeconomic factors Soil dynamics Soil properties Soils Surface energy Surface energy balance Surface properties Variability Vegetation Vegetation index water resource utilization Water resources Water resources management Wind speed |
| title | Impacts of climate variability and landscape pattern change on evapotranspiration in a grassland landscape mosaic |
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