Displaying 21 - 30 of 115
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Eckert, Sandra; Hamad, Amina; Kilawe, Charles Joseph; Linders, Theo E. W.; Ng, Wai-Tim; Mbaabu, Purity Rima; Shiferaw, Hailu; Witt, Arne; Schaffner, Urs. 2020. Niche change analysis as a tool to inform management of two invasive species in Eastern Africa. [Ecosphere] . 11(2): e02987 DOI: https://doi.org/10.1002/ecs2.2987
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ENETWILD-consortium; Acevedo, Pelayo; Croft, Simon; Smith, Graham C.; Blanco-Aguiar, Jose Antonio; Fernandez-Lopez, Javier; Scandura, Massimo; Apollonio, Marco; Ferroglio, Ezio; Keuling, Oliver; Sange, Marie; Zanet, Stefania; Brivio, Francesca; Podgórski, Tomasz; Petrović, Karolina; Soriguer, Ramon; Vicente, Joaquín. 2020. Validation and inference of high-resolution information (downscaling) of ENETwild abundance model for wild boar. [EFSA Supporting Publications] . 17(1): 1787E DOI: https://doi.org/10.2903/sp.efsa.2020.EN-1787
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ENETWILD Consortium,; Fernandez-Lopez, Javier; Acevedo, Pelayo; Blanco-Aguiar, José Antonio; Vicente, Joaquín. 2020. Analysis of wild boar-domestic pig interface in Europe: preliminary analysis. [EFSA Supporting Publications] . 17(4): 1834E DOI: https://doi.org/10.2903/sp.efsa.2020.EN-1834
Uses Remote Sensing: yes
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(Journal Article)
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ENETWILD Consortium,; Acevedo, Pelayo; Croft, Simon; Smith, Graham; Blanco-Aguiar, Jose Antonio; Fernández-López, Javier; Scandura, Massimo; Apollonio, Marco; Ferroglio, Ezio; Keuling, Oliver; Sange, Marie; Zanet, Stefania; Brivio, Francesca; Podgorski, Tomasz; Petrovic, Karolina; Soriguer, Ramon; Vicente, Joaquín. 2020. Update of occurrence and hunting yield-based data models for wild boar at European scale: new approach to handle the bioregion effect. [EFSA Supporting Publications] . 17(5): 1871E DOI: https://doi.org/10.2903/sp.efsa.2020.EN-1871
Uses Remote Sensing: yes
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(Journal Article)
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Ennen, Joshua R.; Agha, Mickey; Sweat, Sarah C.; Matamoros, Wilfredo A.; Lovich, Jeffrey E.; Rhodin, Anders G. J.; Iverson, John B.; Hoagstrom, Christopher W. 2020. Turtle biogeography: Global regionalization and conservation priorities. [Biological Conservation] . 241: 108323 DOI: https://doi.org/10.1016/j.biocon.2019.108323
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Feng, Gang; Zhang, Jian; Girardello, Marco; Pellissier, Vincent; Svenning, Jens-Christian. 2020. Forest canopy height co-determines taxonomic and functional richness, but not functional dispersion of mammals and birds globally. [Global Ecology and Biogeography] . 29(8): 1350-1359 DOI: https://doi.org/10.1111/geb.13110
Uses Remote Sensing: yes
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(Journal Article)
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Gallardo, Belinda; Castro-Díez, Pilar; Saldaña-López, Asunción; Alonso, Álvaro. 2020. Integrating climate, water chemistry and propagule pressure indicators into aquatic species distribution models. [Ecological Indicators] . 112: 106060 DOI: https://doi.org/10.1016/j.ecolind.2019.106060
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Galván, Luis; Magaña, Víctor. 2020. Forest fires in Mexico: an approach to estimate fire probabilities. [International Journal of Wildland Fire] . 29(9): 753-763 DOI: https://doi.org/10.1071/WF19057
Uses Remote Sensing: yes
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(Journal Article)
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Gatica, Gabriel; Fernández, Ma. Elena; Juliarena, Ma. Paula; Gyenge, Javier. 2020. Environmental and anthropogenic drivers of soil methane fluxes in forests: global patterns and among-biomes differences. [Global Change Biology] . 26(11): 6604-6615 DOI: https://doi.org/10.1111/gcb.15331
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(Journal Article)
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Goldhaber-Fiebert, Jeremy; Alarid-Escudero, Fernando; Andrews, Jason. 2020. Stanford-CIDE Coronavirus Simulation Model (SC-COSMO) – Technical Description Document, Version 2.0. pp: 22
Related URL(s): https://www.sc-cosmo.org/wp-content/uploads/2020/11/SC_COSMO_TechnicalDescriptio…
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