Displaying 1 - 9 of 9
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
Bryant, Jessica; Olson, Valerie; Chatterjee, Helen; Turvey, Samuel. 2015. Identifying environmental versus phylogenetic correlates of behavioural ecology in gibbons: implications for conservation management of the world's rarest ape. [BMC Evolutionary Biology] . 15(171) DOI: https://doi.org/10.1186/s12862-015-0430-1
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
de Beurs, Kirsten M.; Henebry, Geoffrey M.; Owsley, Braden C.; Sokolik, Irina. 2015. Using multiple remote sensing perspectives to identify and attribute land surface dynamics in Central Asia 2001–2013. [Remote Sensing of Environment] . 170: 48-61 DOI: https://doi.org/10.1016/j.rse.2015.08.018
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Klein, Tamir; Randin, Christophe; Körner, Christian. 2015. Water availability predicts forest canopy height at the global scale. [Ecology Letters] . 18(12): 1311-1320 DOI: https://doi.org/10.1111/ele.12525
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Liu, Ya; Li, Yan; Li, Shuangcheng; Motesharrei, Safa. 2015. Spatial and temporal patterns of global NDVI trends: Correlations with climate and human factors. [Remote Sensing] . 7(10): 13233-13250 DOI: https://doi.org/10.3390/rs71013233
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Naranjo, Laura. 2015. Trapping Tapirs. [Sensing Our Planet: NASA Earth Science Research Features] .
Related URL(s): https://earthdata.nasa.gov/user-resources/sensing-our-planet/trapping-tapirshttp…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Magazine Article)
export
Paniw, Maria; Salguero-Gómez, Roberto; Ojeda, Fernando. 2015. Local-scale disturbances can benefit an endangered, fire-adapted plant species in Western Mediterranean heathlands in the absence of fire. [Biological Conservation] . 187: 74-81 DOI: https://doi.org/10.1016/j.biocon.2015.04.010
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
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