Results 31 to 40 of about 14,653,154 (285)

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
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Distribution modelling of the endangered spotted Greenshank (Tringa guttifer) in a key area within its winter range

Global Ecology and Conservation, 2020
The Spotted Greenshank (Tringa guttifer) is one of the most threated shorebird species in the world, but key environmental characteristics associated with its presence are still not well understood. Here we summarised historical records and recent survey
Chenxing Yu, Dusit Ngoprasert, Tommaso Savini, Philip D. Round, George A. Gale   +4 more
doaj   +1 more source

A theoretical framework for upscaling species distribution models

Methods in Ecology and Evolution, 2023
Species distribution models (SDM) have become one of the most popular predictive tools in ecology. With the advent of new computation and remote sensing technology, high‐resolution environmental data sets are becoming more and more common predictors in ...
Christine N. Meynard, Cyril Piou, David M. Kaplan   +2 more
doaj   +1 more source

Drivers of Spatial Distributions of Basking Shark (Cetorhinus maximus) in the Southwest Pacific

Frontiers in Marine Science, 2021
Basking sharks (Cetorhinus maximus) were widely reported throughout New Zealand waters. Once commonly observed, and sometimes in large numbers, basking sharks are now infrequently reported.
Brittany Finucci, Clinton A. J. Duffy, Tom Brough, Malcolm P. Francis, Marco Milardi, Matthew H. Pinkerton, Grady Petersen, Fabrice Stephenson   +7 more
doaj   +1 more source

An extensive comparison of species-abundance distribution models [PDF]

PeerJ, 2016
A number of different models have been proposed as descriptions of the species-abundance distribution (SAD). Most evaluations of these models use only one or two models, focus on only a single ecosystem or taxonomic group, or fail to use appropriate ...
Elita Baldridge, David J. Harris, Xiao Xiao, Ethan P. White   +3 more
doaj   +2 more sources

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

Biotic modifiers, environmental modulation and species distribution models

, 2012
The ability of species to modulate environmental conditions and resources has long been of interest. In the past three decades the impacts of these biotic modifiers have been investigated as ‘ecosystem engineers’, ‘niche constructors’, ‘facilitators’ and
Schymanski, Stanislaus, Marion, G., Etienne, Rampal S, Kuhn, I., Linder, Peter H., Schymanski, Stanislaus J., Ohlemuller, Ralf, Schymanski, S., Hickler, Thomas, Singer, Alexander, Schymanski, Stanislaus J, Etienne, Rampal S.; id_orcid, Dyke, James, Etienne, Rampal S., Bykova, Olga, Linder, H., Ohlemueller, Ralf, Hickler, T., Singer, A., Marion, Glenn, Kuehn, Ingolf, Linder, H. Peter, Ohlemuller, R., Kuhn, Ingolf, Etienne, R., Linder, H Peter, Bykova, O., Dyke, J.   +27 more
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Modelling the spatial population structure and distribution of the queen conch, Aliger gigas, on the Pedro Bank, Jamaica

Scientia Marina, 2022
The estimation of reliable indices of abundance for sedentary stocks requires the incorporation of the underlying spatial population structure, including issues arising from the sampling design and zero inflation.
Ricardo A. Morris, Alvaro Hernández-Flores, Alfonso Cuevas-Jimenez   +2 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

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.   +43 more
core   +1 more source