نتایج جستجو برای: species distribution modelling sdm
تعداد نتایج: 1259497 فیلتر نتایج به سال:
Abstract Aim To develop a causal understanding of the drivers Species distribution model (SDM) performance. Location United Kingdom (UK). Methods We measured accuracy and variance SDMs fitted for 518 species invertebrate plant in UK. Our measure reflects variation among replicate fits, taxon experts assessed accuracy. Using directed acyclic graphs, we developed depicting plausible effects expla...
Species distribution modeling (SDM) is an important tool to assess the impact of global environmental change. Many species exhibit ecologically relevant intraspecific variation, and few studies have analyzed its relevance for SDM. Here, we compared three SDM techniques for the highly variable species Pinus contorta. First, applying a conventional SDM approach, we used MaxEnt to model the subjec...
Xylotrechus arvicola is an emerging grape pest that generates serious sanitary problems in vineyards and currently expanding its range throughout Spain. The increasing prevalence of this Spanish has been detected since 1990. In study, the relationship between climate actual distribution beetle was analysed, as well how might change future according to several models. methodology based on predic...
In livestock industries, reliable up-to-date spatial distribution and abundance records for animals and farms are critical for governments to manage and respond to risks. Yet few, if any, countries can afford to maintain comprehensive, up-to-date agricultural census data. Statistical modelling can be used as a proxy for such data but comparative modelling studies have rarely been undertaken for...
Background Since 1996, when Vivo questioned how many species of mammals occur in Brazil, there has been a huge effort to assess this biodiversity. In this contribution, we present new records for rare species of the sigmodontine rodent genera Rhagomys and Neusticomys previously unknown to Brazilian Amazon. We provided detailed information on the morphologic variation to allow the proper identif...
Centaurea glastifolia, a plant species from the Asteraceae family, is distributed in the Northwest of Iran. This study carried out to determine suitable habitats and habitat connectivity of Centaurea glastifolia in three Provinces of West Azarbayejan, East Azarbayejan and Ardabil. Seven habitat variables and 36 presence points were selected for habitat modelling using six habitat distribution m...
In this study, environmental and climatic variables were used as independent variables to determine the habitat suitability of Cyprinion tenuiradius in Fars Province and to investigate the impact of climate change on its distribution. Modelling was conducted in an R software environment using the MaxEnt algorithm. Based on the results, the performance and accuracy of modelling were good (AUC = ...
Allopatry is commonly used to predict boundaries in species delimitation investigations under the assumption that currently allopatric distributions are indicative of reproductive isolation; however, species ranges are known to change over time. Incorporating a temporal perspective of geographic distributions should improve species delimitation; to explore this, we investigate three species of ...
The aim of this study was modelling the spatial distribution ofLilium ledebourii (Baker) Boiss. based on ecological characteristics, in order to predict potential habitats for conservation of a rare plant. Knowledge of the spatial distributions of rare and threatened species and the underlying ecological factors plays an important role in regional conservation assessments and development planni...
Abstract Genetic diversity feeds the evolutionary process and allows populations to adapt environmental changes. However, we still lack a thorough understanding of why hotspots genetic are so 'hot'. Here, analysed relative contribution bioclimatic stability admixture between divergent lineages in shaping spatial patterns common toad Bufo bufo along Italian peninsula. We combined population gene...
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