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Anticipating Agroecosystem Impacts of and Feedbacks to Climate Change in the Midwest US through Integration of a Coupled Climate-Agroecosystem Model with Satellite Data
Xuesong
Zhang, PNNL, xuesong.zhang@pnnl.gov
(Presenter)
Min
Xu, UMD, minxu@umd.edu
Kaiguang
Zhao, PNNL, kaiguang.zhao@pnnl.gov
Xin-Zhong
Liang, UMD, xliang@umd.edu
Roberto
C
Izaurralde, PNNL, cesar.izaurralde@pnnl.gov
Allison
M.
Thomson, PNNL, allison.thomson@pnnl.gov
Climate change is expected to play an increasingly important role on agricultural productivity and associated socio-ecosystem services. Extensive research has been conducted to evaluate responses and vulnerability of agroecosystems to climate change without accounting for their feedbacks to the climate system. In response to future climate change and energy and food demand, human activities (e.g. intensive irrigation and bioenergy crops expansion) may substantially perturb land surface characteristics and alter energy, water, and momentum fluxes between agroecosystems and the atmosphere. As such, it is imperative to consider two-way interactions between climate and agroecosystems for an effective evaluation of the vulnerability and risks of agroecosystems and associated socio-ecological services. To address this issue, we (1) expand the Climate-Weather Research and Forecasting (CWRF) regional climate model capability to fully interact with the Decision Support System for Agrotechnology Transfer (DSSAT) crop growth and management, (2) extensively use satellite data (e.g. MODIS, CDL, and SRTM) to characterize agroecosystems within this coupled modeling system (CWRF-Agro), and (3) apply CWRF-Agro to predict agricultural productivity and provision of food, fuel and other socio-ecosystem services in the US Midwest under a changing climate. In this poster, we introduce our recent progresses in deriving LAI, albedo, and fPAR for crops in the US Midwest using remote sensing data and demonstrate the new capability of CWRF-Agro to represent the interactions between corn and regional climate.
Presentation Type: Poster
Session: Poster Session 2-B
(Wed 4:30 PM)
Associated Project(s):
Poster Location ID: 88
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