Displaying 1 - 7 of 7
Operations
Panda, Rajendra M.; Behera, Mukunda Dev; Roy, Partha S.; Biradar, Chandrashekhar. 2017. Energy determines broad pattern of plant distribution in Western Himalaya. [Ecology and Evolution] . 7(24): 10850-10860 DOI: https://doi.org/10.1002/ece3.3569
SEDAC Data Collection(s):
(Journal Article)
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Yasuhara, Moriaki; Tittensor, Derek P.; Hillebrand, Helmut; Worm, Boris. 2017. Combining marine macroecology and palaeoecology in understanding biodiversity: microfossils as a model. [Biological Reviews] . 92(1): 199-225 DOI: https://doi.org/10.1111/brv.12223
SEDAC Data Collection(s):
(Journal Article)
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Abernethy, K. A.; Coad, L.; Taylor, G.; Lee, M. E.; Maisels, F. 2013. Extent and ecological consequences of hunting in Central African rainforests in the twenty-first century. [Philosophical Transactions of the Royal Society B: Biological Sciences] . 368(1625) DOI: https://doi.org/10.1098/rstb.2012.0303
SEDAC Data Collection(s):
(Journal Article)
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Chammartin, Frédérique; Scholte, Ronaldo G. C.; Malone, John B.; Bavia, Maria E.; Nieto, Prixia; Utzinger, Jürg; Vounatsou, Penelope. 2013. Modelling the geographical distribution of soil-transmitted helminth infections in Bolivia. [Parasites & Vectors] . 6(1): 152 DOI: https://doi.org/10.1186/1756-3305-6-152
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
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Herrick, Keiko; Huettmann, Falk; Lindgren, Michael. 2013. A global model of avian influenza prediction in wild birds: the importance of northern regions. [Veterinary Research] . 44(1): 42 DOI: https://doi.org/10.1186/1297-9716-44-42
SEDAC Data Collection(s):
(Journal Article)
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Sandel, Brody; Svenning, Jens-Christian. 2013. Human impacts drive a global topographic signature in tree cover. [Nature Communications] . 4(2474) DOI: https://doi.org/10.1038/ncomms3474
Uses Remote Sensing: yes
SEDAC Data Collection(s):
esi
(Journal Article)
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Scholte, Ronaldo G. C.; Schur, Nadine; Bavia, Maria E.; Carvalho, Edgar M.; Chammartin, Frédérique; Utzinger, Jürg; Vounatsou, Penelope. 2013. Spatial analysis and risk mapping of soil-transmitted helminth infections in Brazil, using Bayesian geostatistical models. [Geospatial Health] . 8(1): 97-110 DOI: https://doi.org/10.4081/gh.2013.58
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
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