干旱区生态环境知识资源中心(Arid): The role of spatiotemporal plant trait variability in model predictions of ecohydrological responses to climate change in a desert shrubland

Arid

DOI	10.1016/j.jhydrol.2020.125088
	The role of spatiotemporal plant trait variability in model predictions of ecohydrological responses to climate change in a desert shrubland
	Liu, Shaoqing; Ng, Gene-Hua Crystal
通讯作者	Liu, SQ
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2020
卷号	588
英文摘要	Although spatial heterogeneity of soil properties, topography, and climate is commonly incorporated into ecohydrological models, the spatial and temporal variability in plant functional traits is typically overlooked. The objective of our study is to evaluate the impact of trait parameter variability on modeled ecohydrological processes. We implemented a model-data fusion approach to constrain spatiotemporally dynamic parameters in plant functional traits at two desert shrubland sites located along a topographic and climate gradient in the Mojave Desert. Our results showed that the estimates for specific leaf area and roofing depth for the broadleafevergreen-shrub plant-functional-type showed spatial variability, with lower specific leaf area and deeper roofing depth found at the low elevation site. We also found that the specific leaf area estimates changed over time at both sites in response to water stress, but with different sensitivities, possibly depending on species and/or climate. The spatial variability in trait parameter estimates was greater than temporal variability and played a more important role in accurately simulating ecohydrological processes, but including the temporal variability in specific leaf area further improved seasonal predictions. In simulations forced by future climate projections under the Representative Concentration Pathway 4.5 (RCP 4.5) and 8.5 (RCP 8.5) greenhouse gas emissions scenarios, spatial variability in trait parameters impacted predictions of both carbon and water fluxes, while temporal variability in trait parameters resulted in predictions of higher ecological function and water use efficiency. The higher water use efficiency led to improved ecohydrological function in simulations under RCP 4.5, but it showed little capacity for buffering intensive water stresses under the more pessimistic RCP 8.5 scenario, indicating that with spatiotemporally variable trait parameters, the impact on predicted ecohydrological processes depends on the climate projections. Overall, our modeling results prompt further field-based examination of temporal and belowground trait variability in desert shrublands, and they raise the question of how combined spatiotemporal variabilities of multiple traits may support ecohydrological function under water stress.
英文关键词	Ecohydrological model Plant functional trait Model-data fusion
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000568826300083
WOS关键词	WATER-USE EFFICIENCY ; LEAF DRY MASS ; DATA ASSIMILATION ; PHOTOSYNTHETIC PARAMETERS ; RAINFALL GRADIENT ; SOIL-MOISTURE ; INTERANNUAL VARIABILITY ; FOREST ECOSYSTEM ; GAS-EXCHANGE ; DEEP ROOTS
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/326252
作者单位	[Liu, Shaoqing; Ng, Gene-Hua Crystal] Univ Minnesota, Dept Earth Sci, Minneapolis, MN 55455 USA; [Ng, Gene-Hua Crystal] Univ Minnesota, St Anthony Falls Lab, Minneapolis, MN USA
推荐引用方式 GB/T 7714	Liu, Shaoqing,Ng, Gene-Hua Crystal. The role of spatiotemporal plant trait variability in model predictions of ecohydrological responses to climate change in a desert shrubland[J],2020,588.
APA	Liu, Shaoqing,&Ng, Gene-Hua Crystal.(2020).The role of spatiotemporal plant trait variability in model predictions of ecohydrological responses to climate change in a desert shrubland.JOURNAL OF HYDROLOGY,588.
MLA	Liu, Shaoqing,et al."The role of spatiotemporal plant trait variability in model predictions of ecohydrological responses to climate change in a desert shrubland".JOURNAL OF HYDROLOGY 588(2020).