نتایج جستجو برای: species distribution modelling sdm

تعداد نتایج: 1259497  

2018
Ada Sánchez-Mercado Kathryn M Rodríguez-Clark Jhonathan Miranda José Rafael Ferrer-Paris Brian Coyle Samuel Toro Arlene Cardozo-Urdaneta Michael J Braun

Species distribution models (SDM) can be valuable for identifying key habitats for conservation management of threatened taxa, but anthropogenic habitat change can undermine SDM accuracy. We used data for the Red Siskin (Spinus cucullatus), a critically endangered bird and ground truthing to examine anthropogenic habitat change as a source of SDM inaccuracy. We aimed to estimate: (1) the Red Si...

Journal: :Ecological Informatics 2022

Invasive species managers utilise records to inform management. These data can also be used in Species Distribution Models (SDM) predict future spread or potential invasion of new areas. However, issues with non-equilibrium (also called disequilibrium) cause difficulties modelling invasive that have not fully colonised their distribution and, addition, sampling bias result from a lack informati...

2017
Siyang Wang Xiaoting Xu Nawal Shrestha Niklaus E. Zimmermann Zhiyao Tang Zhiheng Wang

Analyzing how climate change affects vegetation distribution is one of the central issues of global change ecology as this has important implications for the carbon budget of terrestrial vegetation. Mapping vegetation distribution under historical climate scenarios is essential for understanding the response of vegetation distribution to future climatic changes. The reconstructions of palaeoveg...

Journal: :Environmental management 2015
Ben J Labay Dean A Hendrickson Adam E Cohen Timothy H Bonner Ryan S King Leroy J Kleinsasser Gordon W Linam Kirk O Winemiller

Recent literature reviews of bioassessment methods raise questions about use of least-impacted reference sites to characterize natural conditions that no longer exist within contemporary landscapes. We explore an alternate approach for bioassessment that uses species site occupancy data from museum archives as input for species distribution models (SDMs) stacked to predict species assemblages o...

2015
Kendra L. Garner Michelle Y. Chang Matthew T. Fulda Jonathan A. Berlin Rachel E. Freed Melissa M. Soo-Hoo Dave L. Revell Makihiko Ikegami Lorraine E. Flint Alan L. Flint Bruce E. Kendall

Local increases in sea level caused by global climate change pose a significant threat to the persistence of many coastal plant species through exacerbating inundation, flooding, and erosion. In addition to sea level rise (SLR), climate changes in the form of air temperature and precipitation regimes will also alter habitats of coastal plant species. Although numerous studies have analyzed the ...

Journal: :Global change biology 2012
Aurélie Désamoré Benjamin Laenen Michael Stech Beata Papp Lars Hedenäs Ruben G Mateo Alain Vanderpoorten

Bryophytes are a group of early land plants, whose specific ecophysiological and biological features, including poikilohydry, sensitivity to moderately high temperature and high dispersal ability, make them ideal candidates for investigating the impact of climate changes. Employing a combined approach of species distribution modelling (SDM) and molecular phylogeography in the temperate moss Hom...

2015
Antonio-Román Muñoz Ana Luz Márquez Raimundo Real

The rapid ecological shifts that are occurring due to climate change present major challenges for managers and policymakers and, therefore, are one of the main concerns for environmental modelers and evolutionary biologists. Species distribution models (SDM) are appropriate tools for assessing the relationship between species distribution and environmental conditions, so being customarily used ...

Journal: :Alpine Entomology 2022

Coprophagous beetles are essential for fecal matter removal and thus considered key ecosystem services providers. Yet, our knowledge of these beetles’ distribution ecology remains very limited. Here, we used Species Distribution Models (SDM) to investigate the species-environment relationships (i.e. their niche) predict geographic coprophagous in Western Swiss Alps. We own sampled data existing...

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