Monitoring Climate Impacts on Annual Forage Production across U.S. Semi-Arid Grasslands
نویسندگان
چکیده
The ecosystem performance approach, used in a previously published case study focusing on the Nebraska Sandhills, proved to minimize impacts of non-climatic factors (e.g., overgrazing, fire, pests) remotely-sensed signal seasonal vegetation greenness resulting better attribution its changes climate variability. current validates applicability this approach for assessment and interannual forage production western United States semi-arid grasslands. Using piecewise regression tree model, we developed Expected Ecosystem Performance (EEP), proxy annual that reflects climatic influences while minimizing management disturbances. EEP model establishes relations between climate, site-specific growth potential, long-term variability capture growing season measured via time-integrated Normalized Difference Vegetation Index (NDVI) observed using Moderate Resolution Imaging Spectroradiometer (MODIS). 19 years were converted expected biomass (EB, kg ha−1 year−1) newly-developed relation with Soil Survey Geographic Database range data (R2 = 0.7). Results compared ground-observed datasets collected by U.S. Department Agriculture University Nebraska-Lincoln 0.67). This illustrated is transferable other arid grasslands can be creating timely, post-season assessments. When combined predictions, it provide within-season estimates serve as basis more informed adaptive decision making livestock producers land managers.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2021
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs14010004