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Research Project: Bridging Project: Integrated Forage Systems for Food and Energy Production in the Southern Great Plains

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Title: Examine the impact of different managements on grassland productivity at global FLUXNET sites

Author
item ZHOU, YUTING - Oklahoma State University
item Gowda, Prasanna
item Wagle, Pradeep
item KAKANI, VIJAYA - Oklahoma State University
item YILDIRIM, TUGBA - Ege University

Submitted to: American Geophysical Union
Publication Type: Abstract Only
Publication Acceptance Date: 7/31/2018
Publication Date: 12/10/2018
Citation: Zhou, Y., Gowda, P.H., Wagle, P., Kakani, V.G., Yildirim, T. 2018. Examine the impact of different managements on grassland productivity at global FLUXNET sites [abstract]. American Geophysical Union. Available at: http://adsabs.harvard.edu/abs/2018AGUFM.B33H2774Z.

Interpretive Summary: Abstract only

Technical Abstract: Grasslands exist naturally on every continent except Antarctica and they provide forage for livestock production around the world. Management activities such as burning, grazing, and cutting are commonly applied for sustainable usage of grasslands. Their impacts on grassland productivity are different and may vary by region. This study integrates eddy covariance observation with multiple remote sensing datasets to investigate the impact of different managements on grassland productivity at global FLUXNET sites. Grassland sites in the FLUXNET2015 Dataset are chosen and their flux and other ancillary data (management records, meteorological data, and site description) are collected. Remote sensing datasets at multiple spatial, spectral, and temporal resolutions, namely MODIS, Landsat 7 and 8, and Sentinel 1 and 2, covering the potential flux footprint (approximate to the height of flux tower multiplied by 100) are used to inspect the impacts of management on the grassland. The annual average and standard deviation of gross primary productivity, vegetation indices, and radar backscatter coefficient in the potential footprint are used to show inter- and intra-annual dynamics of productivity and are attributed to different managements. Individual and confounding impacts of management practices are investigated. The results from this study can help incorporate the impacts of managements on grassland productivity in ecosystem modeling and facilitate regional analysis of managements on grassland.