Jump to Main Content
- Gao, Rui; Kong, Qingming; Wang, Hongguang; Su, Zhongbin
- Rangeland ecology & management 2019 v.72 no.6 pp. 916-922
- crude protein; digestibility; ecosystems; grasses; grasslands; mathematical models; metabolizable energy; monitoring; multispectral imagery; nutrient content; nutrition; quality control; range management; remote sensing; ruminants; spatial data; unmanned aerial vehicles; vegetation index; wavelengths
- ... Grasslands are the largest renewable source of terrestrial chlorophytes. Furthermore, grasslands can be both fiber sources and the primary metabolizable energy source for ruminants. Therefore, rapid, accurate, and large-scale monitoring of grassland ecosystems is important to provide spatial information on forage quality control and rangeland management. In this experiment, 100 grassland sites wer ...
- Altesor, A.; Gallego, F.; Ferrón, M.; Pezzani, F.; López-Mársico, L.; Lezama, F.; Baeza, S.; Pereira, M.; Costa, B.; Paruelo, J.M.
- Rangeland ecology & management 2019 v.72 no.6 pp. 1005-1016
- attitudes and opinions; cattle; ecological footprint; ecosystem services; grasslands; grazing; grazing systems; models; moderate resolution imaging spectroradiometer; multivariate analysis; normalized difference vegetation index; protocols; range management; sheep; stakeholders; stocking rate
- ... We report state-and-transition models for Uruguayan grasslands built on a methodological approach that objectively defined states/phases associated, a priori, with rangeland management. Such approach was based on randomly sampled areas corresponding to mapped grassland communities. Each sampled area matched a MODIS pixel. Vegetation structural indicators were recorded in every pixel. After a multi ...