Jorge Soberón

ORCID: 0000-0003-2160-4148
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About
Contact & Profiles
Research Areas
  • Species Distribution and Climate Change
  • Ecology and Vegetation Dynamics Studies
  • Wildlife Ecology and Conservation
  • Plant and animal studies
  • Animal Ecology and Behavior Studies
  • Rangeland and Wildlife Management
  • Conservation, Biodiversity, and Resource Management
  • Plant and soil sciences
  • Isotope Analysis in Ecology
  • Evolution and Paleontology Studies
  • Economic and Environmental Valuation
  • Environmental DNA in Biodiversity Studies
  • Mexican Socioeconomic and Environmental Dynamics
  • Genetic diversity and population structure
  • Forest Management and Policy
  • Forest Insect Ecology and Management
  • Genomics and Phylogenetic Studies
  • Insect and Arachnid Ecology and Behavior
  • Lepidoptera: Biology and Taxonomy
  • Research Data Management Practices
  • Classical Antiquity Studies
  • Insect and Pesticide Research
  • Cardiac Arrhythmias and Treatments
  • Cardiac electrophysiology and arrhythmias
  • Data Analysis with R

University of Kansas
2015-2024

Biodiversity Research Institute
2018-2023

University of Buenos Aires
2007-2021

American Museum of Natural History
1999-2019

Institute of Zoology
2018

Chinese Academy of Sciences
2018

Virginia Tech
2018

Tianjin Normal University
2018

University of Tennessee at Knoxville
2018

University of Arizona
2018

Prediction of species’ distributions is central to diverse applications in ecology, evolution and conservation science. There increasing electronic access vast sets occurrence records museums herbaria, yet little effective guidance on how best use this information the context numerous approaches for modelling distributions. To meet need, we compared 16 methods over 226 species from 6 regions world, creating most comprehensive set model comparisons date. We used presence‐only data fit models,...

10.1111/j.2006.0906-7590.04596.x article EN Ecography 2006-03-29

Ecological niche modeling?that is, estimation of the dimensions fundamental ecological niches species?to predict their geographic distributions is increasingly being employed in systematics, ecology, conservation, public health, etc. This technique often (of necessity) based on data comprising records presences only. In recent years, many modeling approaches have been devised to estimate these interrelated expressions a species' distributional biology, and evolutionary history?nevertheless,...

10.17161/bi.v2i0.4 article EN Biodiversity Informatics 2005-01-13

In the recent past, availability of large data sets species presences has increased by orders magnitude. This, together with developments in geographical information systems and statistical methods, enabled scientists to calculate, for thousands species, environmental conditions their distributional areas. The profiles thus obtained are obviously related niche concepts Grinnell tradition, separated from those Elton's tradition. I argue that it is useful define Grinnellian Eltonian niches on...

10.1111/j.1461-0248.2007.01107.x article EN Ecology Letters 2007-09-10

Theory predicts low niche differentiation between species over evolutionary time scales, but little empirical evidence is available. Reciprocal geographic predictions based on ecological models of sister taxon pairs birds, mammals, and butterflies in southern Mexico indicate conservatism several million years independent evolution (between putative pairs) at the level families. Niche such scales indicates that speciation takes place geographic, not ecological, dimensions differences evolve later.

10.1126/science.285.5431.1265 article EN Science 1999-08-20

This book provides a first synthetic view of an emerging area ecology and biogeography, linking individual- population-level processes to geographic distributions biodiversity patterns. Problems in evolutionary ecology, macroecology, biogeography are illuminated by this integrative view. The focuses on correlative approaches known as ecological niche modeling, species distribution or habitat suitability which use associations between occurrences environmental variables identify conditions...

10.5860/choice.49-6266 article EN Choice Reviews Online 2012-07-01

Estimating actual and potential areas of distribution species via ecological niche modeling has become a very active field research, yet important conceptual issues in this remain confused. We argue that clarity is enhanced by adopting restricted definitions “niche” enable operational basic concepts like fundamental, potential, realized niches distributional areas. apply these to the question conservatism, addressing what it conserved showing with quantitative example how change can be...

10.1073/pnas.0901637106 article EN Proceedings of the National Academy of Sciences 2009-09-24

Summary The field of ecological niche modelling or species distribution has seen enormous activity and attention in recent years, the light exciting biological inferences that can be drawn from correlational models species' environmental requirements (i.e. niches) potential geographic distributions. Among many methods used field, one two are practice assumed to ‘best’ commonly, often without explicit testing. We explore herein implications ‘no free lunch’ theorem, which suggests no single...

10.1111/2041-210x.12397 article EN Methods in Ecology and Evolution 2015-04-18

Statistical modeling of areas distribution species by correlative analysis the environmental features known presences has become widespread. However, to a large degree, logic and functioning many these applications remain obscure, not only due fact that some methods are intrinsically complex (neural networks, genetic algorithms, generalized additive models, for example), but mainly because role other ecological processes affecting distributions sometimes is explicitly stated. Resorting...

10.1111/j.1600-0587.2009.06074.x article EN Ecography 2010-02-01

Abstract Understanding the causes of spatial variation in species richness is a major research focus biogeography and macroecology. Gridded environmental data maps have been used increasingly sophisticated curve‐fitting analyses, but these methods not brought us much closer to mechanistic understanding patterns. During past two decades, macroecologists successfully addressed technical problems posed by autocorrelation, intercorrelation predictor variables non‐linearity. However, approaches...

10.1111/j.1461-0248.2009.01353.x article EN Ecology Letters 2009-08-13

Abstract Biodiversity studies rely heavily on estimates of species' distributions often obtained through ecological niche modelling. Numerous software packages exist that allow users to model niches using machine learning and statistical methods. However, no existing package with a graphical user interface allows perform calibration selection based convex forms such as ellipsoids, which may match fundamental shapes better, incorporating tools for exploring, modelling, evaluating are...

10.1111/2041-210x.13452 article EN publisher-specific-oa Methods in Ecology and Evolution 2020-07-17

Ecological niche modeling (ENM) is used widely to study species’ geographic distributions. ENM applications frequently involve transferring models calibrated with environmental data from one region other regions or times that may include novel conditions. When conditions are present, transferability implies extrapolation, whereas, in absence of such conditions, an interpolation step only. We evaluated produced using 11 algorithms the perspective and extrapolation a virtual species framework....

10.1111/ecog.03986 article EN Ecography 2018-08-18

We present a global conservation analysis for an entire “flagship” taxon, land mammals. A combination of rarity, anthropogenic impacts, and political endemism has put about quarter terrestrial mammal species, larger fraction their populations, at risk extinction. new database complementarity selecting priority areas shows that ∼11% Earth's surface should be managed to preserve least 10% geographic ranges. Different approaches, from protection (or establishment) reserves countryside...

10.1126/science.1114015 article EN Science 2005-07-22
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