Promising the future? Global change projections of species distributions

By Carsten F. Dormann. 2007

510 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/e23eba4fb914ad2deb699589e4bbef2f9642a6e6

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In Ecological Modeling

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Habitat modelling of tracking data from multiple marine predators identifies important areas in the Southern Indian Ocean (2018, background): “However, it is critical to note that our models allow interactions among covariates, and that these interactions are themselves likely to be very important (Dormann, 2007).”
The uncertain nature of absences and their importance in species distribution modelling (2010, background): “…in the prediction of presences in other spatial or time scenarios (as provided by e.g. biological invasions or fossil data, Sax et al. 2007 and Nogués-Bravo et al. 2008, respectively), and by examining the agreement among physiological and distributional data (Dormann 2007, Kearney et al. 2008).”
Contrasted impacts of climate change on stream fish assemblages along an environmental gradient (2009, background): “Indeed, many factors acting at different spatial or temporal scales could hinder these assemblages to be established (Pearson & Dawson, 2003; Dormann, 2007).”
Outstanding Challenges in the Transferability of Ecological Models. (2018, background): “Usually developed based on a thumb [44] does not translate into practical and comprehensible guidelines for model endusers (e.”
Species Distribution Models: Ecological Explanation and Prediction Across Space and Time (2009, unknown): “…may limit distributions or biotic interactions may change substantially in the new context; outcomes will be influenced by genetic variability, phenotypic plasticity and evolutionary changes; dispersal pathways are difficult to predict (De Marco et al. 2008, Dormann 2007, Midgley et al. 2006).”
Species Distribution Modeling in the Tropics: Problems, Potentialities, and the Role of Biological Data for Effective Species Conservation (2009, background): “We strongly believe that SDMs have great potential to support the conservation of tropical biodiversity in the future, if their value in this context is recognized.”
Glacial refugia of temperate trees in Europe: insights from species distribution modelling (2008, methodology): “There are, however, still uncertainties and concerns about how to implement and interpret species distribution modelling (e.g. Araújo & Guisan 2006; Dormann 2007; Peterson et al. 2007).”
Improving species distribution models: the value of data on abundance (2014, background): “…areas of development range from the incorporation of land cover variables and biotic interactions, to accounting for spatial autocorrelation (Guisan & Thuiller 2005; Ara ujo & Guisan 2006; Dormann 2007a; Bagchi et al. 2013) and incorporating biological traits (Higgins, O’Hara & R€omermann 2012).”
Stacked species distribution models and macroecological models provide congruent projections of avian species richness under climate change (2015, background): “The use of species distribution models to forecast future distributions has been criticized for making simplistic assumptions about dispersal potential and biotic interactions within current or emerging communities (Dormann, 2007).”
Understanding what controls the spatial distribution of fish populations using a multi-model approach (2011, background): “…which reviews, critically assesses and compares all these techniques is available (Maggini et al., 2006, Moisen and Frescino, 2002, Thuiller, 2003, Segurado and Araújo, 2004, Moisen et al., 2006, Elith and Graham, 2009, Dormann, 2007b, Heikkinen et al., 2006, Vaughan and 415 Ormerod, 2005).”
Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges. (2009, background): “The lack of explicit biotic interactions in SDMs has been a particular source of criticism in the context of predicting climate change impacts (Davis et al. 1998; Dormann 2007).”
The virtual ecologist approach: simulating data and observers (2010, background): “Since the future is unknown, these expected distributional changes are difficult to evaluate, and the use of species distribution models for global change projections remains hotly debated (Dormann 2007).”
What ' s on the horizon for macroecology? (2012, background): “Putting processes into macroecology Macroecology has proven very successful in describing general patterns, but ultimately this is not suffi cient if we cannot infer causalities (Dormann 2007, Kearney and Porter 2009).”
Benthos distribution modelling and its relevance for marine ecosystem management (2015, background): “(2 01 0) 302 H. Reiss et al. D ow nloaded from https://academ ic.oup.com /icesjm s/article-abstract/72/2/297/674105 by AZTI FU N D AC IO N user on 24 Septem ber 2018 assumption will probably not hold when making dynamic predictions (Dormann, 2007; Sinclair et al., 2010).”
Mechanistic simulation models in macroecology and biogeography: state‐of‐art and prospects (2017, background): “Although this approach has indisputably been crucial for the success of the fields, its drawbacks have been abundantly noted (Brown 1999, Guisan and Thuiller 2005, Dormann 2007).”
How Useful Are Species Distribution Models for Managing Biodiversity under Future Climates (2010, background): “…on this topic (e.g., Davis et al. 1998a, b, Pearson and Dawson 2003, Hampe 2004, Guisan and Tuiller 2005, Hulme 2005, Hijmans and Graham 2006, Dormann, 2007) in its broad ecological scope, its attempt to distinguish systematic tendencies to overor under-predict caused by inherent aspects of…”
Past tree range dynamics in the Iberian Peninsula inferred through phylogeography and palaeodistribution modelling: A review (2010, methodology): “extrapolation onto different spatial or temporal realms relies upon a series of assumptions, which have been subject to debate and critiques of the approach (Davis et al., 1998; Hampe, 2004; Dormann, 2007).”