A probabilistic approach to dispersal in spatially explicit meta-populations

Abstract Meta-population and -community models have extended our understanding regarding the influence of habitat distribution, local patch dynamics, and dispersal on species distribution patterns. Currently, theoretical insights on spatial distribution patterns are limited by the dominant use of de...

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Autores principales:	Rajat Karnatak, Sabine Wollrab
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f5456648780449cf96708c73640ded3c
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id	oai:doaj.org-article:f5456648780449cf96708c73640ded3c
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spelling	oai:doaj.org-article:f5456648780449cf96708c73640ded3c2021-12-02T11:57:58ZA probabilistic approach to dispersal in spatially explicit meta-populations10.1038/s41598-020-79162-92045-2322https://doaj.org/article/f5456648780449cf96708c73640ded3c2020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79162-9https://doaj.org/toc/2045-2322Abstract Meta-population and -community models have extended our understanding regarding the influence of habitat distribution, local patch dynamics, and dispersal on species distribution patterns. Currently, theoretical insights on spatial distribution patterns are limited by the dominant use of deterministic approaches for modeling species dispersal. In this work, we introduce a probabilistic, network-based framework to describe species dispersal by considering inter-patch connections as network-determined probabilistic events. We highlight important differences between a deterministic approach and our dispersal formalism. Exemplified for a meta-population, our results indicate that the proposed scheme provides a realistic relationship between dispersal rate and extinction thresholds. Furthermore, it enables us to investigate the influence of patch density on meta-population persistence and provides insight on the effects of probabilistic dispersal events on species persistence. Importantly, our formalism makes it possible to capture the transient nature of inter-patch connections, and can thereby provide short term predictions on species distribution, which might be highly relevant for projections on how climate and land use changes influence species distribution patterns.Rajat KarnatakSabine WollrabNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Rajat Karnatak Sabine Wollrab A probabilistic approach to dispersal in spatially explicit meta-populations
description	Abstract Meta-population and -community models have extended our understanding regarding the influence of habitat distribution, local patch dynamics, and dispersal on species distribution patterns. Currently, theoretical insights on spatial distribution patterns are limited by the dominant use of deterministic approaches for modeling species dispersal. In this work, we introduce a probabilistic, network-based framework to describe species dispersal by considering inter-patch connections as network-determined probabilistic events. We highlight important differences between a deterministic approach and our dispersal formalism. Exemplified for a meta-population, our results indicate that the proposed scheme provides a realistic relationship between dispersal rate and extinction thresholds. Furthermore, it enables us to investigate the influence of patch density on meta-population persistence and provides insight on the effects of probabilistic dispersal events on species persistence. Importantly, our formalism makes it possible to capture the transient nature of inter-patch connections, and can thereby provide short term predictions on species distribution, which might be highly relevant for projections on how climate and land use changes influence species distribution patterns.
format	article
author	Rajat Karnatak Sabine Wollrab
author_facet	Rajat Karnatak Sabine Wollrab
author_sort	Rajat Karnatak
title	A probabilistic approach to dispersal in spatially explicit meta-populations
title_short	A probabilistic approach to dispersal in spatially explicit meta-populations
title_full	A probabilistic approach to dispersal in spatially explicit meta-populations
title_fullStr	A probabilistic approach to dispersal in spatially explicit meta-populations
title_full_unstemmed	A probabilistic approach to dispersal in spatially explicit meta-populations
title_sort	probabilistic approach to dispersal in spatially explicit meta-populations
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/f5456648780449cf96708c73640ded3c
work_keys_str_mv	AT rajatkarnatak aprobabilisticapproachtodispersalinspatiallyexplicitmetapopulations AT sabinewollrab aprobabilisticapproachtodispersalinspatiallyexplicitmetapopulations AT rajatkarnatak probabilisticapproachtodispersalinspatiallyexplicitmetapopulations AT sabinewollrab probabilisticapproachtodispersalinspatiallyexplicitmetapopulations
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A probabilistic approach to dispersal in spatially explicit meta-populations

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