From topography to hydrology—The modifiable area unit problem impacts freshwater species distribution models
Sign Up to like & getrecommendations! Published in 2020 at "Ecology and Evolution"
DOI: 10.1002/ece3.6110
Abstract: Abstract Species distribution models (SDMs) are statistical tools to identify potentially suitable habitats for species. For SDMs in river ecosystems, species occurrences and predictor data are often aggregated across subcatchments that serve as modeling units.… read more here.
Keywords: topography; distribution models; hydrology; model ... See more keywords
Developing and Validating Species Distribution Models for Wetland Plants Across Europe
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DOI: 10.1002/ece3.71157
Abstract: ABSTRACT Drainage, agricultural conversion, and climate change threaten wetlands and their unique biodiversity. Species distribution models (SDMs) can help to identify effective conservation measures. However, existing SDMs for wetland plants are often geographically limited, miss… read more here.
Keywords: niche optima; wetland plants; developing validating; distribution models ... See more keywords
Lumping and Splitting of Distribution Models Across a Biogeographic Divide Informs the Conservation of an Imperiled Fluvial Fish
Sign Up to like & getrecommendations! Published in 2025 at "Ecology and Evolution"
DOI: 10.1002/ece3.71315
Abstract: ABSTRACT Freshwater fishes are among the most threatened taxa in the world. A major challenge for the conservation and management of threatened fishes is scarce information regarding life history, habitat requirements, and the drivers of… read more here.
Keywords: distribution; conservation; bfs; distribution models ... See more keywords
Remote sensing for species distribution models: An illustration from a sentinel taxon of the world's driest ecosystem.
Sign Up to like & getrecommendations! Published in 2025 at "Ecology"
DOI: 10.1002/ecy.70035
Abstract: In situ observed data are commonly used as species occurrence response variables in species distribution models. However, the use of remotely observed data from high-resolution multispectral remote-sensing images as a source of presence/absence data for… read more here.
Keywords: distribution; sensing species; distribution models; remote sensing ... See more keywords
Predicting the seasonal distribution of fall armyworm in North America using species distribution models.
Sign Up to like & getrecommendations! Published in 2025 at "Pest management science"
DOI: 10.1002/ps.70217
Abstract: Species distribution models (SDMs) are widely used in pest management to predict outbreak areas. Migratory pests cause seasonal crop damage through long‐distance migration, making it crucial to understand their seasonal activity when estimating outbreak regions.… read more here.
Keywords: distribution; predicting seasonal; distribution models; seasonal distribution ... See more keywords
Conditional Probabilities of Hellenic Arc Earthquakes Based on Different Distribution Models
Sign Up to like & getrecommendations! Published in 2020 at "Pure and Applied Geophysics"
DOI: 10.1007/s00024-020-02576-z
Abstract: The 27 November 2019 Mw 6.0 earthquake that occurred in the southwestern part of the Hellenic Arc near Crete Island provided evidence of the high potential for strong earthquakes and active seismicity in the Hellenic… read more here.
Keywords: distribution models; hellenic arc; different distribution; conditional probabilities ... See more keywords
Potential distribution models from two highly endemic species of subterranean rodents of Argentina: which environmental variables have better performance in highly specialized species?
Sign Up to like & getrecommendations! Published in 2021 at "Mammalian Biology"
DOI: 10.1007/s42991-021-00150-1
Abstract: South American rodents of the genus Ctenomys (tuco-tucos) occupy the underground environment, present high specificity to loose and friable soils and have restricted mobility, with a generally fragmented distribution. We use species distribution models (SDMs)… read more here.
Keywords: distribution models; better performance; ctenomys; specialized species ... See more keywords
Ion distribution models for defect fluorite ZrO2 - AO1.5 (A = Ln, Y) solid solutions: I. Relationship between lattice parameter and composition
Sign Up to like & getrecommendations! Published in 2021 at "Acta Materialia"
DOI: 10.1016/j.actamat.2020.10.045
Abstract: Abstract The composition dependence of the lattice constant, a, in AxB1-xO2-0.5xV0.5x, fluorite-type solid solutions (B = Zr, A = {Nd-Yb, Y}, V = oxygen vacancy) is characterized by changes in slope at x ∼ 1/3, which cannot be described by existing… read more here.
Keywords: distribution models; vacancy; ion distribution; composition ... See more keywords
Ion distribution models for defect fluorite ZrO2 - AO1.5 (A = Ln, Y) solid solutions: II. Thermodynamics of mixing and ordering
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DOI: 10.1016/j.actamat.2020.10.046
Abstract: Abstract Thermodynamic mixing properties of AxB1-xO2-0.5xV0.5x, fluorite-type solid solutions (B = Zr, A = {Nd-Yb, Y}, V = oxygen vacancy) are modelled as functions of four parameters, ΔH1, ΔH2, ΔH3 and ΔH4, which correspond to the enthalpy effects of the reactions… read more here.
Keywords: distribution models; thermodynamics; ion distribution; cation species ... See more keywords
Using Species Distribution Models For Fungi
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DOI: 10.1016/j.fbr.2020.01.002
Abstract: Abstract Species distribution models (SDMs) are an emerging tool in the study of fungi, and their use is expanding across species and research topics. To summarise progress to date and to highlight important considerations for… read more here.
Keywords: distribution models; using species; models fungi; sdms fungi ... See more keywords
An interpretable machine learning method for supporting ecosystem management: Application to species distribution models of freshwater macroinvertebrates.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of environmental management"
DOI: 10.1016/j.jenvman.2021.112719
Abstract: Species distribution models (SDMs), in which species occurrences are related to a suite of environmental variables, have been used as a decision-making tool in ecosystem management. Complex machine learning (ML) algorithms that lack interpretability may… read more here.
Keywords: distribution models; machine learning; management; model ... See more keywords