DOI: 10.1002/2017MS001022
Scopus记录号: 2-s2.0-85040719783
论文题名: Assessing the Impact of Parameter Uncertainty on Modeling Grass Biomass Using a Hybrid Carbon Allocation Strategy
作者: Reyes J ; J ; , Tague C ; L ; , Evans R ; D ; , Adam J ; C
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期: 8 起始页码: 2968
结束页码: 2992
语种: 英语
英文关键词: Agriculture
; Biomass
; Carbon dioxide
; Ecosystems
; Forestry
; Natural resources management
; Uncertainty analysis
; Carbon allocation
; Eco-hydrology
; grasslands
; parameter importance
; Parameter sensitivities
; Process-based modeling
; Ecology
; biomass allocation
; climate conditions
; ecohydrology
; ecosystem modeling
; grass
; grassland
; growth
; parameter estimation
; phytomass
; resource use
; sensitivity analysis
; uncertainty analysis
; Poaceae
英文摘要: Grasslands play an important role in feeding the growing human population by supporting dairy and livestock production. The purpose of this paper was to improve the representation of carbon (C) allocation processes in ecosystem models, and to understand the sensitivity of simulated grass biomass to model parameters, providing guidance for future environmental change research. We used the Regional Hydro-Ecologic Simulation System to compare estimates of above and belowground biomass for C allocation strategies based on plant growth, resource use, and a newly developed HYBRID approach that integrates the first two allocation schemes. Observed values of biomass at seven grassland sites are used to compare performance of these three allocation strategies. Partial ranked correlation coefficients are then calculated to assess parameter importance and sensitivity under current and future climate conditions. We found that both resource use and plant growth play a role in simulating dynamic C allocation in grass biomass over time, indicating the need for the HYBRID approach to capture grassland C allocation. Parameter importance was site-specific under increased temperatures, enhanced carbon dioxide, and changed precipitation. Site-specific parameter importance also yielded insight into limiting resources (i.e., energy, moisture) at sites and subsequent effects on ecological processes like photosynthesis and allocation. This work increases our understanding of C allocation in ecosystem models related to grasses, and guides what model parameters may require further research. © 2017. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75690
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
There are no files associated with this item.
作者单位: USDA Southwest Climate Hub, Agricultural Research Service, Jornada Experimental Range, Las Cruces, NM, United States; Department of Civil and Environmental Engineering, Washington State University, Pullman, WA, United States; Bren School of Environmental Science and Management, University of California Santa Barbara, Santa Barbara, CA, United States; School of Biological Sciences, Washington State University, Pullman, WA, United States
Recommended Citation:
Reyes J,J,, Tague C,et al. Assessing the Impact of Parameter Uncertainty on Modeling Grass Biomass Using a Hybrid Carbon Allocation Strategy[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(8)