Results 51 to 60 of about 9,824,356 (289)

The influence of spatial errors in species occurrence data on distribution models

, 2008
1. Species distribution modelling is used increasingly in both applied and theoretical research to predict how species are distributed and to understand attributes of species' environmental requirements.
Scachetti Pereira, Ricardo, Elith, Jane, Huettmann, Falk, Leathwick, John, Hijmans, Robert J., A Townsend Peterson, Peterson, A. Townsend, Lehmann, Anthony, Overton, Jake, Loiselle, Bette A., Phillips, Steven, Nakamura, Miguel, Catherine H Graham, Richardson, Karen, Antoine Guisan, Williams, Stephen, Zimmermann, Niklaus, Bette A Loiselle, Townsend Peterson, A., Lohmann, Lucia, Graham, Catherine H., Wisz, Mary, Manion, Glenn, Anderson, Robert P., Robert J Hijmans, Elith, J, Hijmans, R.J., Ferrier, Simon, Moritz, Craig, Nakazawa, Yoshinori, Schapire, Robert, Soberón, Jorge, Li, Jin, Guisan, Antoine, Dudík, Miroslav, Jane Elith, Hijmans, R., Elith, J., Peterson, A. T., Loiselle, B. A., Guisan, A., Graham, C. H.   +41 more
core   +1 more source

Projected habitat loss and persistence of Heortia vitessoides (Lepidoptera, Crambidae) in China Under CMIP6 Climate Models [PDF]

Biodiversity Data Journal
Heortia vitessoides Moore is a destructive pest of Aquilaria sinensis (Lour.) Spreng, a significant economic crop. To understand the current and future geographical range change of this pest, we employed the maximum entropy model (MaxEnt) to assess the ...
Tian Liang, Songkai Liao, Xianzhi Wang, Chumin Chen, Xinjie Mao, Hui Chen, Leiyi Chen   +6 more
doaj   +3 more sources

Modelling Species Distributions Using Regression Quantiles [PDF]

, 2007
1. Species distribution modelling is an important and well-established tool for conservation planning and resource management. Modelling techniques based on central estimates of species responses to environmental factors do not always provide ...
Andre Carpentier, Charpentier, A., Ernande, B., Corinne S. Martin, Meaden, G., Bruno Ernande, Frank Coppin, Carpentier, A., Maeden, G.J., Sandrine Vaz, Eastwood, P., Meaden, G.J., Geoff J. Meaden, Vaz, S., Martin, C., Martin, C.S., Coppin, F., Paul D. Eastwood, Eastwood, P.D.   +18 more
core   +1 more source

Hierarchical Species Distribution Models [PDF]

Current Landscape Ecology Reports, 2016
Determining the distribution pattern of a species is important to increase scientific knowledge, inform management decisions, and conserve biodiversity. To infer spatial and temporal patterns, species distribution models have been developed for use with many sampling designs and types of data.
Trevor J. Hefley, Mevin B. Hooten
openaire   +1 more source

Effects of sample size on the performance of species distribution models

, 2008
A wide range of modelling algorithms is used by ecologists, conservation practitioners, and others to predict species ranges from point locality data. Unfortunately, the amount of data available is limited for many taxa and regions, making it essential ...
Nakamura, M., Lohmann, Lucia G., Dudik, M., Leathwick, John, Zimmermann, N.E., Manion, G., Peterson, A. Townsend, Huettmann, F., Moritz, C., Williams, S.E., Graham, C.H., Loiselle, Bette A., McC. Overton, J., Elith, J., Phillips, S.J., R. J. Hijmans, Richardson, K.S., Lohamnn, L., Williams, Stephen E., A. T. Peterson, Schapire, R.E., C. H. Graham, Soberón, J., Zimmermann, Niklaus, Ferrier, S., Lehmann, A., Leathwick, J.R., M. S. Wisz, Wisz, M.S., Huettman, F., Hijmans, R.J., Scachetti-Pereira, R., Elith, J, J. Li, Phillips, Steven J., Peterson, A.T., Guisan, A., Nakazawa, Y., Moritz, Craig, Li, J., Guisan, Antoine, Loiselle, B.A., A. Guisan, Graham, C.G., Soberón, J. (author), Dudík, M. (author), Guisan, A. (author), Richardson, K.S. (author), Manion, G. (author), Nakazawa, Y. (author), Williams, S.E. (author), Moritz, C. (author), Huettmann, F. (author), Li, J. (author), Elith, J. (author), Schapire, R.E. (author), Leathwick, J.R. (author), Hijmans, R.J. (author), Wisz, M.S. (author), Lehmann, A. (author), Phillips, S.J. (author), Scachetti-Pereira, R. (author), Lohmann, L. (author), Loiselle, B.A. (author), Peterson, A.T. (author), Zimmermann, N.E. (author), Nakamura, M. (author), Ferrier, S. (author), Graham, C.H. (author), Overton, J. Mc C. (author)   +69 more
core   +1 more source

Distribution modelling and climate change risk assessment strategy for rare Himalayan Galliformes species using archetypal data abundant cohorts for adaptation planning

Climate Risk Management, 2021
In a macroecological approach, we have used the data abundant species or archetypal cohorts as proxies for the data deficient species, to model their distributions.
Priyamvada Bagaria, Avantika Thapa, Lalit Kumar Sharma, Bheem Dutt Joshi, Hemant Singh, Chandra Maya Sharma, Joyashree Sarma, Mukesh Thakur, Kailash Chandra   +8 more
doaj   +1 more source

Caveats for correlative species distribution modeling

Ecological Informatics, 2015
Abstract Correlative species distribution models are becoming commonplace in the scientific literature and public outreach products, displaying locations, abundance, or suitable environmental conditions for harmful invasive species, threatened and endangered species, or species of special concern.
Catherine S. Jarnevich, Thomas J. Stohlgren, Sunil Kumar 0020, Jeffrey T. Morisette, Tracy R. Holcombe   +4 more
openaire   +2 more sources

Little pigeons can carry great messages: potential distribution and ecology of Uranotaenia (Pseudoficalbia) unguiculata Edwards, 1913 (Diptera: Culicidae), a lesser-known mosquito species from the Western Palaearctic

Parasites & Vectors, 2017
Background Uranotaenia unguiculata is a Palaearctic mosquito species with poorly known distribution and ecology. This study is aimed at filling the gap in our understanding of the species potential distribution and its environmental requirements through ...
Serhii Filatov
doaj   +1 more source

Uncertainty analysis of species distribution models

PLOS ONE, 2019
The maximum entropy model, a commonly used species distribution model (SDM) normally combines observations of the species occurrence with environmental information to predict the geographic distributions of animal or plant species. However, it only produces point estimates for the probability of species existence.
Xi Chen, Nedialko B. Dimitrov, Lauren Ancel Meyers   +2 more
openaire   +3 more sources

Organizing the interface—Plasma membrane architecture and receptor dynamics in virus‐cell interactions

FEBS Letters, EarlyView.
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley   +1 more source