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Building up biogeography: Pattern to process

Pearse, W. D. (author)
Barbosa, A. M. (author)
Fritz, S. A. (author)
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Keith, S. A. (author)
Harmon, L. J. (author)
Harte, J. (author)
Silvestro, Daniele (author)
Gothenburg University,Göteborgs universitet,Institutionen för biologi och miljövetenskap,Department of Biological and Environmental Sciences
Xiao, X. (author)
Davies, T. J. (author)
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 (creator_code:org_t)
2018-04-30
2018
English.
In: Journal of Biogeography. - : Wiley. - 0305-0270 .- 1365-2699. ; 45:6, s. 1223-1230
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Linking pattern to process across spatial and temporal scales has been a key goal of the field of biogeography. In January 2017, the 8th biennial conference of the International Biogeography Society sponsored a symposium on Building up biogeographyprocess to pattern that aimed to review progress towards this goal. Here we present a summary of the symposium, in which we identified promising areas of current research and suggested future research directions. We focus on (1) emerging types of data such as behavioural observations and ancient DNA, (2) how to better incorporate historical data (such as fossils) to move beyond what we term footprint measures of past dynamics and (3) the role that novel modelling approaches (e.g. maximum entropy theory of ecology and approximate Bayesian computation) and conceptual frameworks can play in the unification of disciplines. We suggest that the gaps separating pattern and process are shrinking, and that we can better bridge these aspects by considering the dimensions of space and time simultaneously.

Subject headings

NATURVETENSKAP  -- Biologi -- Ekologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Ecology (hsv//eng)
NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Miljövetenskap (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Environmental Sciences (hsv//eng)
NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Naturgeografi (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Physical Geography (hsv//eng)

Keyword

approximate Bayesian computation (ABC)
behaviour
fossils
macroecology
maximum entropy
approximate bayesian computation
historical biogeography
species
distribution
phylogenetic trees
community ecology
trait evolution
climate-change
fossil record
diversity
model
Environmental Sciences & Ecology
Physical Geography

Publication and Content Type

ref (subject category)
art (subject category)

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