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Temporal dynamics of ecosystem, inherent, and underlying water use efficiencies of forests, grasslands, and croplands and their responses to climate change.
Chen, Wei; Liu, Shuguang; Zhao, Shuqing; Zhu, Yu; Feng, Shuailong; Wang, Zhao; Wu, Yiping; Xiao, Jingfeng; Yuan, Wenping; Yan, Wende; Ju, Hui; Wang, Qinyi.
Afiliación
  • Chen W; College of Life Science and Technology, Central South University of Forestry and Technology, Changsha, 410004, China.
  • Liu S; National Engineering Laboratory for Applied Technology of Forestry and Ecology in South China, Central South University of Forestry and Technology, Changsha, 410004, China.
  • Zhao S; Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Science, Beijing, 100081, China.
  • Zhu Y; College of Life Science and Technology, Central South University of Forestry and Technology, Changsha, 410004, China. shuguang.liu@yahoo.com.
  • Feng S; National Engineering Laboratory for Applied Technology of Forestry and Ecology in South China, Central South University of Forestry and Technology, Changsha, 410004, China. shuguang.liu@yahoo.com.
  • Wang Z; College of Urban and Environmental Sciences, Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China.
  • Wu Y; College of Life Science and Technology, Central South University of Forestry and Technology, Changsha, 410004, China.
  • Xiao J; National Engineering Laboratory for Applied Technology of Forestry and Ecology in South China, Central South University of Forestry and Technology, Changsha, 410004, China.
  • Yuan W; College of Life Science and Technology, Central South University of Forestry and Technology, Changsha, 410004, China.
  • Yan W; National Engineering Laboratory for Applied Technology of Forestry and Ecology in South China, Central South University of Forestry and Technology, Changsha, 410004, China.
  • Ju H; College of Life Science and Technology, Central South University of Forestry and Technology, Changsha, 410004, China.
  • Wang Q; National Engineering Laboratory for Applied Technology of Forestry and Ecology in South China, Central South University of Forestry and Technology, Changsha, 410004, China.
Carbon Balance Manag ; 18(1): 13, 2023 Jul 14.
Article en En | MEDLINE | ID: mdl-37450075
ABSTRACT

BACKGROUND:

Understanding temporal trends and varying responses of water use efficiency (WUE) to environmental changes of diverse ecosystems is key to predicting vegetation growth. WUE dynamics of major ecosystem types (e.g., forest, grassland and cropland) have been studied using various WUE definitions/metrics, but a comparative study on WUE dynamics and their driving forces among different ecosystem types using multiple WUE metrics is lacking. We used eddy covariance measurements for 42 FLUXNET2015 sites (396 site years) from 1997 to 2014, as well as three commonly used WUE metrics (i.e., ecosystem, inherent, and underlying WUE) to investigate the commonalities and differences in WUE trends and driving factors among deciduous broadleaf forests (DBFs), evergreen needleleaf forests (ENFs), grasslands, and croplands.

RESULTS:

Our results showed that the temporal trends of WUE were not statistically significant at 73.8% of the forest, grassland and cropland sites, and none of the three WUE metrics exhibited better performance than the others in quantifying WUE. Meanwhile, the trends observed for the three WUE metrics were not significantly different among forest, grassland and cropland ecosystems. In addition, WUE was mainly driven by atmospheric carbon dioxide concentration at sites with significant WUE trends, and by vapor pressure deficit (VPD) at sites without significant trends (except cropland).

CONCLUSIONS:

Our findings revealed the commonalities and differences in the application of three WUE metrics in disparate ecosystems, and further highlighted the important effect of VPD on WUE change.
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Carbon Balance Manag Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Carbon Balance Manag Año: 2023 Tipo del documento: Article País de afiliación: China