SESAM – a new framework integrating macroecological and species distribution models for predicting spatio-temporal patterns of species assemblages

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SESAM – a new framework integrating macroecological and species distribution models for predicting spatio-temporal patterns of species assemblages. / Guisan, Antoine; Rahbek, Carsten.

In: Journal of Biogeography, Vol. 38, No. 8, 2011, p. 1433–1444.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Guisan, A & Rahbek, C 2011, 'SESAM – a new framework integrating macroecological and species distribution models for predicting spatio-temporal patterns of species assemblages', Journal of Biogeography, vol. 38, no. 8, pp. 1433–1444. https://doi.org/10.1111/j.1365-2699.2011.02550.x

APA

Guisan, A., & Rahbek, C. (2011). SESAM – a new framework integrating macroecological and species distribution models for predicting spatio-temporal patterns of species assemblages. Journal of Biogeography, 38(8), 1433–1444. https://doi.org/10.1111/j.1365-2699.2011.02550.x

Vancouver

Guisan A, Rahbek C. SESAM – a new framework integrating macroecological and species distribution models for predicting spatio-temporal patterns of species assemblages. Journal of Biogeography. 2011;38(8):1433–1444. https://doi.org/10.1111/j.1365-2699.2011.02550.x

Author

Guisan, Antoine ; Rahbek, Carsten. / SESAM – a new framework integrating macroecological and species distribution models for predicting spatio-temporal patterns of species assemblages. In: Journal of Biogeography. 2011 ; Vol. 38, No. 8. pp. 1433–1444.

Bibtex

@article{906dd3fa8d02446ca1e8c42fb01ab394,
title = "SESAM – a new framework integrating macroecological and species distribution models for predicting spatio-temporal patterns of species assemblages",
abstract = "Two different approaches currently prevail for predicting spatial patterns of species assemblages. The first approach (macroecological modelling, MEM) focuses directly on realized properties of species assemblages, whereas the second approach (stacked species distribution modelling, S-SDM) starts with constituent species to approximate the properties of assemblages. Here, we propose to unify the two approaches in a single {\textquoteleft}spatially explicit species assemblage modelling{\textquoteright} (SESAM) framework. This framework uses relevant designations of initial species source pools for modelling, macroecological variables, and ecological assembly rules to constrain predictions of the richness and composition of species assemblages obtained by stacking predictions of individual species distributions. We believe that such a framework could prove useful in many theoretical and applied disciplines of ecology and evolution, both for improving our basic understanding of species assembly across spatio-temporal scales and for anticipating expected consequences of local, regional or global environmental changes. In this paper, we propose such a framework and call for further developments and testing across a broad range of community types in a variety of environments. ",
author = "Antoine Guisan and Carsten Rahbek",
year = "2011",
doi = "10.1111/j.1365-2699.2011.02550.x",
language = "English",
volume = "38",
pages = "1433–1444",
journal = "Journal of Biogeography",
issn = "0305-0270",
publisher = "Wiley-Blackwell",
number = "8",

}

RIS

TY - JOUR

T1 - SESAM – a new framework integrating macroecological and species distribution models for predicting spatio-temporal patterns of species assemblages

AU - Guisan, Antoine

AU - Rahbek, Carsten

PY - 2011

Y1 - 2011

N2 - Two different approaches currently prevail for predicting spatial patterns of species assemblages. The first approach (macroecological modelling, MEM) focuses directly on realized properties of species assemblages, whereas the second approach (stacked species distribution modelling, S-SDM) starts with constituent species to approximate the properties of assemblages. Here, we propose to unify the two approaches in a single ‘spatially explicit species assemblage modelling’ (SESAM) framework. This framework uses relevant designations of initial species source pools for modelling, macroecological variables, and ecological assembly rules to constrain predictions of the richness and composition of species assemblages obtained by stacking predictions of individual species distributions. We believe that such a framework could prove useful in many theoretical and applied disciplines of ecology and evolution, both for improving our basic understanding of species assembly across spatio-temporal scales and for anticipating expected consequences of local, regional or global environmental changes. In this paper, we propose such a framework and call for further developments and testing across a broad range of community types in a variety of environments.

AB - Two different approaches currently prevail for predicting spatial patterns of species assemblages. The first approach (macroecological modelling, MEM) focuses directly on realized properties of species assemblages, whereas the second approach (stacked species distribution modelling, S-SDM) starts with constituent species to approximate the properties of assemblages. Here, we propose to unify the two approaches in a single ‘spatially explicit species assemblage modelling’ (SESAM) framework. This framework uses relevant designations of initial species source pools for modelling, macroecological variables, and ecological assembly rules to constrain predictions of the richness and composition of species assemblages obtained by stacking predictions of individual species distributions. We believe that such a framework could prove useful in many theoretical and applied disciplines of ecology and evolution, both for improving our basic understanding of species assembly across spatio-temporal scales and for anticipating expected consequences of local, regional or global environmental changes. In this paper, we propose such a framework and call for further developments and testing across a broad range of community types in a variety of environments.

U2 - 10.1111/j.1365-2699.2011.02550.x

DO - 10.1111/j.1365-2699.2011.02550.x

M3 - Journal article

VL - 38

SP - 1433

EP - 1444

JO - Journal of Biogeography

JF - Journal of Biogeography

SN - 0305-0270

IS - 8

ER -

ID: 40334780