Sentence examples for environmental niche modelling from inspiring English sources

Yesson & Culham [12] have used this approach to filter GBIF data for use in environmental niche modelling.

In 2009, primatologist James Thorn used environmental niche modelling in Indonesia to supplement the poor population data gathered to date to predict the remaining available habitat for slow lorises on the islands of Sumatra, Java, and Borneo.

The data can be used for, amongst other things; taxonomic revisions [5], environmental niche modelling [6], compiling redlists of threatened species [7] and biodiversity assessment [8].

The distribution and antiquity of these lineages suggests that with further work incorporating additional sampling, ecological analysis, physiological data and environmental niche modelling, Crenadactylus will be an important evolutionary radiation for understanding the deep history of arid Australia.

Environmental niche modelling indicates that the Javan slow loris is more threatened by habitat loss than other slow loris species.

The patchy coverage of GBIF data, even over small geographic scales was illustrated by a small scale environmental niche modelling study of Cyclamen [11] that compared data from GBIF with detailed extent of occurrence maps to predict lineage extinction risk.

Estimating theoretical carrying capacity of a wide spectrum of species, through environmental niche modeling for instance, and comparing them with the real carrying capacities could highlight the identity of these species at this threshold.

Furthermore we conduct environmental niche modeling based on climatic and altitude parameters to estimate the potential for ecological niche divergence between genetic lineages, to measure ecological landscape connectivity across the distribution gap and to predict the distribution of past and current suitable habitat.

The climate layers used in the environmental niche modeling provide further insight: since the mid-Holocene, precipitation seasonality in the area where the introgression zone is positioned decreased; whereas precipitation during the wettest season decreased, it increased during the driest season (Additional file 6).

The derived data products that come from lidar can easily be used at multiple scales (and resolutions) as direct inputs to fire models and environmental niche models.

As an environmental niche model, AquaMaps was developed specifically to deal with non-representative sampling of marine species ranges, but also to address the prevailing overall paucity of available point occurrence records by incorporating expert knowledge on species habitat usage.