Rights statement: This is the peer reviewed version of the following article: Pearse WD, Barbosa AM, Fritz SA, et al. Building up biogeography: Pattern to process. J Biogeogr. 2018;45:1223–1230. https://doi.org/10.1111/jbi.13242 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/jbi.13242/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Building up biogeography
T2 - pattern to process
AU - Pearse, William
AU - Keith, Sal
N1 - This is the peer reviewed version of the following article: Pearse WD, Barbosa AM, Fritz SA, et al. Building up biogeography: Pattern to process. J Biogeogr. 2018;45:1223–1230. https://doi.org/10.1111/jbi.13242 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/jbi.13242/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
PY - 2018/6
Y1 - 2018/6
N2 - 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 biogeography—process 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.
AB - 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 biogeography—process 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.
KW - approximate Bayesian computation (ABC)
KW - behaviour
KW - fossils
KW - macroecology
KW - maximum entropy theory
KW - mechanism
KW - phylogeny
KW - scale
KW - space
KW - time
U2 - 10.1111/jbi.13242
DO - 10.1111/jbi.13242
M3 - Journal article
VL - 45
SP - 1223
EP - 1230
JO - Journal of Biogeography
JF - Journal of Biogeography
SN - 0305-0270
IS - 6
ER -