Using Satellite-Based Vegetation Data for Short-Term Grazing Monitoring to Inform Adaptive Management
| Autor: | Jason W. Karl, Robert V. Taylor, Crystal A. Kolden, Heidi J. Schmalz, Vincent Jansen |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
Hydrology Biomass (ecology) geography geography.geographical_feature_category Ecology 04 agricultural and veterinary sciences Vegetation Management Monitoring Policy and Law 01 natural sciences Pasture Grassland 010601 ecology Adaptive management Grazing 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Animal Science and Zoology Rangeland Scale (map) Nature and Landscape Conservation |
| Zdroj: | Rangeland Ecology & Management. 76:30-42 |
| ISSN: | 1550-7424 |
| Popis: | Quantifying rangeland vegetation amounts with remotely sensed satellite data is a proliferating field of study. Yet the resulting datasets are rarely related to use-based monitoring indicators (i.e., utilization or residual biomass), which are critical for adaptive management and to inform the subsequent year's grazing plans. To better assess our ability to use remotely sensed data products for grazing monitoring and adaptive management, we tested the relationships between a variety of vegetation biomass metrics derived from remotely sensed data on a bunchgrass-dominated grassland in northeast Oregon and two common indicators: stocking rate at the pasture scale (40−250 ha; a management indicator) and field-based utilization estimates at the plot scale (25−50 m; a grazing indicator). At the pasture scale, we correlated stocking rate to biomass metrics and found two metrics that had consistent relationships to stocking rate: fall mean biomass (r values range: −0.52 to −0.56; P values |
| Databáze: | OpenAIRE |
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