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A meta‐analysis of primary productivity and rain use efficiency in terrestrial grassland ecosystems
Land Degradation & Development ( IF 4.7 ) Pub Date : 2020-07-03 , DOI: 10.1002/ldr.3715
Zhongling Yang 1 , Scott L. Collins 2 , Rebecca J. Bixby 2 , Hongquan Song 1 , Dong Wang 1 , Rui Xiao 1
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A comprehensive understanding of annual net primary productivity (ANPP) and rain‐use efficiency (RUE) along precipitation gradients is critial for grassland conservation under climate change. However, how ANPP and RUE respond to changes in precipitation at different spatial and temporal scales remains uncertain. The aim of this research was to clarify these things. Using data from 21 field experiments, with an average sampling period of 14.3 years in 32 sites, 18 of which are in China, we evaluated the relationship of mean annual precipitation (MAP) with ANPP and RUE across spatial and temporal scales in grassland ecosystems. Our study showed different degrees of sensitivity of ANPP and RUE to changing precipitation spatially and temporally. First, analysis supports the well‐known positive linear relationship between ANPP and MAP. Second, we found that ANPP increases with increasing precipitation regardless of the actual precipitation amount of the study sites, whereas ANPP increased 0.2 g m−2 more than it declined per 1 mm change in precipitation. Third, RUE increased with increasing MAP across sites, whereas RUE generally decreased with annual precipitation within most sites. Finally, the temporal variation in RUE within sites is lower than the overall spatial pattern of variation across sites. The lack of consistency in ANPP and RUE among years and across sites in response to interannual variation in precipitation indicates the complexity of ecological indicators characterizing precipitation changes. These findings highlight the prevalence of site‐specific variation in precipitation‐ANPP relationships.
更新日期:2020-07-03
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