نتایج جستجو برای: species distribution modelling sdm
تعداد نتایج: 1259497 فیلتر نتایج به سال:
The extensive range of sand deserts, gravel and recent human activities have shaped habitat fragmentation relict endangered plants in arid northwestern China. Prunus mongolica is a shrub that mainly distributed the study area. In present study, population genomics was integrated with species distribution model (SDM) to investigate spatial genetic diversity structure P. populations response crea...
SDMtoolbox 2.0 is a software package for spatial studies of ecology, evolution, and genetics. The release of SDMtoolbox 2.0 allows researchers to use the most current ArcGIS software and MaxEnt software, and reduces the amount of time that would be spent developing common solutions. The central aim of this software is to automate complicated and repetitive spatial analyses in an intuitive graph...
Species distribution models (SDMs) are widely used to hindcast or forecast suitable habitat conditions during climate change. Although distant populations of a given species may show local adaptations diverging environmental conditions, traditional SDMs disregard intraspecific variation. Yet, incorporating genetic information into could improve predictions. Here we aimed at investigating whethe...
The red-backed shrike (Lanius collurio L.) is a bird living in human-altered agricultural areas that are managed by extensive farming techniques. This passerine species has declined significantly in Western Europe over the last 30–40 years. The development of efficient species-specific conservation strategies relies on fine-grained information about the ecological resources and environmental co...
Abstract Aim Habitat loss and degradation is one of the main threats to biodiversity worldwide. Ecological modelling community has been increasingly incorporating habitat changes in species distribution models (SDMs). However, effect that uncertainty arising from standard procedures land‐use/land‐cover (LULC) mapping can have on SDMs overlooked. Remote sensing offers a great source information ...
Species Distribution Models predict abundance and its temporal variation in a steppe bird population
Habitat Suitability Index (HSI) derived from Species Distribution Model (SDM) has been used to infer or predict local demographic properties such as abundance for many species. Across species studied, HSI either presented a poor predictor of potential rather than realized abundance. The main explanation the lack relationship between and is that varies in time due various ecological processes ar...
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