We investigated the potentiality of identifying the distribution, richness and hotspots of threatened plant species at a 25 ha resolution using eight state-of-the-art modelling techniques (GLM, GAM, MARS, ANN, CTA, GBM, MDA and RF) in a taiga landscape in north-eastern Finland.
Data about the distribution and richness of species and their habitats have been compiled frequently; however, it is difficult and costly to measure the complete biodiversity of a region, necessitating useful surrogates.
The availability of a wide range of satellite measurements of environmental variables at different spatial and temporal resolutions, together with an increasing number of digitized and georeferenced species occurrences, has created the opportunity to model and monitor species geographic distribution and richness at regional to continental scales.
Using a large-scale, citizen science-generated database, we examined the effects of habitat composition, road disturbance, and habitat split (i.e. the isolation of wetland from forest by intervening land use) on the distribution and richness of frogs and toads in the eastern and central United States.
Our various 2020 model predictions can serve as testable alternative hypotheses concerning changes in species distribution and richness that will play out in the next 10 years.
A previous study aimed at identifying and characterizing biological patterns underpinning the geographic distribution of richness and the correlation with endemism used geographically restricted randomization by constraining randomizations by both biome and realm [10].
Finally, we investigated the distribution and richness of MAT alleles in the European founder population using the developed markers.
The primary aim of this study was to identify and investigate the distribution and richness of MAT alleles in S. lacrymans in Europe.
A major impediment to fully realizing the potential of integrating these fields, however, is the lack of basic information about species distribution and richness in nature.
Foremost, because there are marked spatial patterns in the distribution of richness and extinction risk across the freshwater taxa for which we had information, this implies that not only are there areas of greater conservation concern, but also that those areas are likely to differ, at least at a broad scale, depending on the taxonomic groups being evaluated.
Parametric survival analysis has been the source for the development of distributions with richness and flexibility for modeling time-to-event data.
