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    • Rangeland Ecology & Management, Volume 62 (2009)
    • Rangeland Ecology & Management, Volume 62, Number 2 (March 2009)
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    Forage Production of the Argentine Pampa Region Based on Land Use and Long-Term Normalized Difference Vegetation Index Data

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    Author
    Di Bella, Carlos M.
    Negri, Ignacio J.
    Posse, Gabriela
    Jaimes, Florencia R.
    Jobbágy, Esteban G.
    Garbulsky, Martin F.
    Deregibus, Victor A.
    Issue Date
    2009-03-01
    Keywords
    linear spectral unmixing
    NDVI
    net primary production
    NOAA-AVHRR
    spatial variability
    stocking rate
    
    Metadata
    Show full item record
    Citation
    Di Bella, C. M., Negri, I. J., Posse, G., Jaimes, F. R., Jobbágy, E. G., Garbulsky, M. F., & Deregibus, V. A. (2009). Forage production of the Argentine pampa region based on land use and long-term Normalized Difference Vegetation Index data. Rangeland Ecology & Management, 62(2), 163-170.
    Publisher
    Society for Range Management
    Journal
    Rangeland Ecology & Management
    URI
    http://hdl.handle.net/10150/643016
    DOI
    10.2111/08-048.1
    Additional Links
    https://rangelands.org/
    Abstract
    Information about forage productivity and its interactions with cultural practices or climatic variation is necessary to plan livestock management and to increase production without damaging the environment. Remote sensing provides a valuable data source to achieve these goals. Here we characterize forage production over a large region (92 million hectares) by analyzing spatial, seasonal, and interannual variability with Normalized Difference Vegetation Index (NDVI) data. We identified 23 homogeneous zones that enclose multiple counties with similar characteristics of land use and productivity. A long-term series (1981-2000) of Advanced Very High Resolution Radiometer images were used to calculate monthly NDVI and the annual integral of NDVI (I-NDVI), which is an estimate of primary productivity, for each county. County agricultural land use data were used to resolve pure forage and crop NDVI patterns over time using a spectral unmixing model. The annual integral of NDVI was significantly associated with geographic longitude and average precipitation but not with latitude. Improved relationships between forage production and I-NDVI can be obtained by collecting more accurate forage estimates in the field and calculating radiation use efficiencies. Images of high temporal resolution allow the inference of seasonal changes, and images of high spatial resolution allow a more precise description of the forage resources. 
    Type
    text
    Article
    Language
    en
    ISSN
    0022-409X
    ae974a485f413a2113503eed53cd6c53
    10.2111/08-048.1
    Scopus Count
    Collections
    Rangeland Ecology & Management, Volume 62, Number 2 (March 2009)

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