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    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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Building up biogeography: pattern to process

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Building up biogeography : pattern to process. / Pearse, William; Keith, Sal.

In: Journal of Biogeography, Vol. 45, No. 6, 06.2018, p. 1223-1230.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Pearse, W & Keith, S 2018, 'Building up biogeography: pattern to process', Journal of Biogeography, vol. 45, no. 6, pp. 1223-1230. https://doi.org/10.1111/jbi.13242

APA

Pearse, W., & Keith, S. (2018). Building up biogeography: pattern to process. Journal of Biogeography, 45(6), 1223-1230. https://doi.org/10.1111/jbi.13242

Vancouver

Pearse W, Keith S. Building up biogeography: pattern to process. Journal of Biogeography. 2018 Jun;45(6):1223-1230. https://doi.org/10.1111/jbi.13242

Author

Pearse, William ; Keith, Sal. / Building up biogeography : pattern to process. In: Journal of Biogeography. 2018 ; Vol. 45, No. 6. pp. 1223-1230.

Bibtex

@article{57fc361dbb5d4da3b5340cb3d641bffe,
title = "Building up biogeography: pattern to process",
abstract = "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.",
keywords = "approximate Bayesian computation (ABC), behaviour , fossils , macroecology, maximum entropy theory , mechanism, phylogeny , scale , space, time",
author = "William Pearse and Sal Keith",
note = "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.",
year = "2018",
month = jun,
doi = "10.1111/jbi.13242",
language = "English",
volume = "45",
pages = "1223--1230",
journal = "Journal of Biogeography",
issn = "0305-0270",
publisher = "Wiley",
number = "6",

}

RIS

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 -