Land surface models significantly underestimate the impact of land-use changes on global evapotranspiration
Despite numerous assessments of the impact of land-use change (LUC) on terrestrial evapotranspiration (ET) that have been conducted using land surface models (LSMs), no attempts have been made to evaluate their performance in this regard globally. Errors in simulating LUC impacts on ET largely stem...
| Hlavní autoři: | , , , , , , , , , |
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| Médium: | Článek |
| Jazyk: | English |
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IOP Publishing
2021-01-01
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| Edice: | Environmental Research Letters |
| Témata: | |
| On-line přístup: | https://doi.org/10.1088/1748-9326/ac38db |
| _version_ | 1827869953188954112 |
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| author | Qilin Wang Yingping Wang Lu Zhang Shujing Qin Quan Zhang Pan Liu Liu Liu Kaijie Zou Shujie Cheng Lei Cheng |
| author_facet | Qilin Wang Yingping Wang Lu Zhang Shujing Qin Quan Zhang Pan Liu Liu Liu Kaijie Zou Shujie Cheng Lei Cheng |
| author_sort | Qilin Wang |
| collection | DOAJ |
| description | Despite numerous assessments of the impact of land-use change (LUC) on terrestrial evapotranspiration (ET) that have been conducted using land surface models (LSMs), no attempts have been made to evaluate their performance in this regard globally. Errors in simulating LUC impacts on ET largely stem from LUC data interpretation (LI, i.e. mapping of gridded LUC data into annual plant function types) and model structure (MS, i.e. parameterization of land-surface processes). The objective of this study was to benchmark ET estimates from four LSMs using the Zhang-curve, a prototype of the Budyko framework that has been validated against global hydrological observations and used widely to quantify the impacts of LUC on ET. A framework was further proposed to quantify and attribute errors in estimated ET changes induced by LI or MS. Results showed that all LSMs underestimated ET changes by about 55%–78%, and 37%–48% of the error was attributable to LI, but only 11%–32% of the error was attributable to MS across the four LSMs. From a hydrological perspective, our analysis provided insights about the errors in estimated impacts of LUC on ET by LSMs. The results demonstrated that LUC data interpretation accounted for a larger fraction of errors than LSM structure. Therefore, there is an urgent need for the defining and development of consistent protocols for interpreting global LUC data for future assessments. |
| first_indexed | 2024-03-12T15:50:57Z |
| format | Article |
| id | doaj.art-74066f623d1d40aba6b51b4d3bac1fc5 |
| institution | Directory Open Access Journal |
| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T15:50:57Z |
| publishDate | 2021-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj.art-74066f623d1d40aba6b51b4d3bac1fc52023-08-09T15:09:17ZengIOP PublishingEnvironmental Research Letters1748-93262021-01-01161212404710.1088/1748-9326/ac38dbLand surface models significantly underestimate the impact of land-use changes on global evapotranspirationQilin Wang0https://orcid.org/0000-0002-2724-1790Yingping Wang1Lu Zhang2Shujing Qin3Quan Zhang4https://orcid.org/0000-0003-1127-5969Pan Liu5https://orcid.org/0000-0002-3777-6561Liu Liu6https://orcid.org/0000-0002-4915-206XKaijie Zou7Shujie Cheng8Lei Cheng9State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University , Wuhan 430072, People’s Republic of China; Hubei Provincial Collaborative Innovation Center for Water Resources Security , Wuhan 430072, People’s Republic of China; Hubei Provincial Key Lab of Water System Science for Sponge City Construction, Wuhan University , Wuhan, Hubei, People’s Republic of ChinaCSIRO Oceans and Atmosphere , Aspendale, VIC 3195 Victoria, AustraliaCSIRO Land and Water, Black Mountain , Canberra ACT 2601, AustraliaState Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University , Wuhan 430072, People’s Republic of China; Hubei Provincial Collaborative Innovation Center for Water Resources Security , Wuhan 430072, People’s Republic of China; Hubei Provincial Key Lab of Water System Science for Sponge City Construction, Wuhan University , Wuhan, Hubei, People’s Republic of ChinaState Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University , Wuhan 430072, People’s Republic of China; Hubei Provincial Collaborative Innovation Center for Water Resources Security , Wuhan 430072, People’s Republic of China; Hubei Provincial Key Lab of Water System Science for Sponge City Construction, Wuhan University , Wuhan, Hubei, People’s Republic of ChinaState Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University , Wuhan 430072, People’s Republic of China; Hubei Provincial Collaborative Innovation Center for Water Resources Security , Wuhan 430072, People’s Republic of China; Hubei Provincial Key Lab of Water System Science for Sponge City Construction, Wuhan University , Wuhan, Hubei, People’s Republic of ChinaCollege of Water Resources and Civil Engineering, China Agricultural University , Beijing 100038, People’s Republic of ChinaState Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University , Wuhan 430072, People’s Republic of China; Hubei Provincial Collaborative Innovation Center for Water Resources Security , Wuhan 430072, People’s Republic of China; Hubei Provincial Key Lab of Water System Science for Sponge City Construction, Wuhan University , Wuhan, Hubei, People’s Republic of ChinaState Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University , Wuhan 430072, People’s Republic of China; Hubei Provincial Collaborative Innovation Center for Water Resources Security , Wuhan 430072, People’s Republic of China; Hubei Provincial Key Lab of Water System Science for Sponge City Construction, Wuhan University , Wuhan, Hubei, People’s Republic of ChinaState Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University , Wuhan 430072, People’s Republic of China; Hubei Provincial Collaborative Innovation Center for Water Resources Security , Wuhan 430072, People’s Republic of China; Hubei Provincial Key Lab of Water System Science for Sponge City Construction, Wuhan University , Wuhan, Hubei, People’s Republic of ChinaDespite numerous assessments of the impact of land-use change (LUC) on terrestrial evapotranspiration (ET) that have been conducted using land surface models (LSMs), no attempts have been made to evaluate their performance in this regard globally. Errors in simulating LUC impacts on ET largely stem from LUC data interpretation (LI, i.e. mapping of gridded LUC data into annual plant function types) and model structure (MS, i.e. parameterization of land-surface processes). The objective of this study was to benchmark ET estimates from four LSMs using the Zhang-curve, a prototype of the Budyko framework that has been validated against global hydrological observations and used widely to quantify the impacts of LUC on ET. A framework was further proposed to quantify and attribute errors in estimated ET changes induced by LI or MS. Results showed that all LSMs underestimated ET changes by about 55%–78%, and 37%–48% of the error was attributable to LI, but only 11%–32% of the error was attributable to MS across the four LSMs. From a hydrological perspective, our analysis provided insights about the errors in estimated impacts of LUC on ET by LSMs. The results demonstrated that LUC data interpretation accounted for a larger fraction of errors than LSM structure. Therefore, there is an urgent need for the defining and development of consistent protocols for interpreting global LUC data for future assessments.https://doi.org/10.1088/1748-9326/ac38dbland-use changesterrestrial evapotranspirationland surface modelsBudyko frameworkland-use change data interpretationmodel structure |
| spellingShingle | Qilin Wang Yingping Wang Lu Zhang Shujing Qin Quan Zhang Pan Liu Liu Liu Kaijie Zou Shujie Cheng Lei Cheng Land surface models significantly underestimate the impact of land-use changes on global evapotranspiration Environmental Research Letters land-use changes terrestrial evapotranspiration land surface models Budyko framework land-use change data interpretation model structure |
| title | Land surface models significantly underestimate the impact of land-use changes on global evapotranspiration |
| title_full | Land surface models significantly underestimate the impact of land-use changes on global evapotranspiration |
| title_fullStr | Land surface models significantly underestimate the impact of land-use changes on global evapotranspiration |
| title_full_unstemmed | Land surface models significantly underestimate the impact of land-use changes on global evapotranspiration |
| title_short | Land surface models significantly underestimate the impact of land-use changes on global evapotranspiration |
| title_sort | land surface models significantly underestimate the impact of land use changes on global evapotranspiration |
| topic | land-use changes terrestrial evapotranspiration land surface models Budyko framework land-use change data interpretation model structure |
| url | https://doi.org/10.1088/1748-9326/ac38db |
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