Displaying 1 - 4 of 4
Operations
Ray, Debabrata; Behera, Mukunda Dev; Jacob, James. 2016. Predicting the distribution of rubber trees (Hevea brasiliensis) through ecological niche modelling with climate, soil, topography and socioeconomic factors. [Ecological Research] . 31(1): 75-91 DOI: https://doi.org/10.1007/s11284-015-1318-7
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Rostro-García, Susana; Tharchen, Lhendup; Abade, Leandro; Astaras, Christos; Cushman, Samuel A.; Macdonald, David W. 2016. Scale dependence of felid predation risk: identifying predictors of livestock kills by tiger and leopard in Bhutan. [Landscape Ecology] . 31(6): 1277-1298 DOI: https://doi.org/10.1007/s10980-015-0335-9
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Stensgaard, Anna-Sofie; Booth, Mark; Nikulin, Grigory; McCreesh, Nicky. 2016. Combining process-based and correlative models improves predictions of climate change effects on Schistosoma mansoni transmission in eastern Africa. [Geospatial Health] . 11(1s) DOI: https://doi.org/10.4081/gh.2016.406
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Greve, Michelle; Lykke, Anne Mette; Blach-Overgaard, Anne; Svenning, Jens-Christian. 2011. Environmental and anthropogenic determinants of vegetation distribution across Africa. [Global Ecology and Biogeography] . 20(5): 661-674 DOI: https://doi.org/10.1111/j.1466-8238.2011.00666.x
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
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