Displaying 1 - 5 of 5
Operations
Brindha, K.; Pavelic, Paul. 2016. Identifying priority watersheds to mitigate flood and drought impacts by novel conjunctive water use management. [Environmental Earth Sciences] . 75(5): 1-17 DOI: https://doi.org/10.1007/s12665-015-4989-z
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
ndh
(Journal Article)
export
Prince, Stephen D. 2016. Where does desertification occur? Mapping dryland degradation at regional to global scales. [The End of Desertification?: Disputing Environmental Change in the Drylands] Ed(s): Behnke, Roy; Mortimore, Michael. pp: 225-263 DOI: https://doi.org/10.1007/978-3-642-16014-1_9
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Book Section)
export
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
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