Retrieving vegetation growth patterns from soil moisture, precipitation and temperature using maximum entropy
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DOI: 10.1016/j.ecolmodel.2015.03.022
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- Suárez-Seoane, Susana & García de la Morena, Eladio L. & Morales Prieto, Manuel B. & Osborne, Patrick E. & de Juana, Eduardo, 2008. "Maximum entropy niche-based modelling of seasonal changes in little bustard (Tetrax tetrax) distribution," Ecological Modelling, Elsevier, vol. 219(1), pages 17-29.
- Austin, Mike, 2007. "Species distribution models and ecological theory: A critical assessment and some possible new approaches," Ecological Modelling, Elsevier, vol. 200(1), pages 1-19.
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- Sohoulande, Clement D.D. & Stone, Kenneth & Singh, Vijay P., 2019. "Quantifying the probabilistic divergences related to time-space scales for inferences in water resource management," Agricultural Water Management, Elsevier, vol. 217(C), pages 282-291.
- Consolo, Giancarlo & Grifó, Gabriele & Valenti, Giovanna, 2022. "Dryland vegetation pattern dynamics driven by inertial effects and secondary seed dispersal," Ecological Modelling, Elsevier, vol. 474(C).
- Zhang, Gengxi & Su, Xiaoling & Singh, Vijay P., 2020. "Modelling groundwater-dependent vegetation index using Entropy theory," Ecological Modelling, Elsevier, vol. 416(C).
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Keywords
Entropy theory; Atmospheric variables; NDVI; Texas Gulf watershed;All these keywords.
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