Metacommunity, mainland-island system or island communities? Assessing the regional dynamics of plant communities in a fragmented landscape

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Metacommunity, mainland-island system or island communities? Assessing the regional dynamics of plant communities in a fragmented landscape . / May, Felix; Giladi, Itamar; Ristow, Michael et al.

in: Ecography, Jahrgang 36, Nr. 7, 07.2013, S. 842-853.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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May F, Giladi I, Ristow M, Ziv Y, Jeltsch F. Metacommunity, mainland-island system or island communities? Assessing the regional dynamics of plant communities in a fragmented landscape . Ecography. 2013 Jul;36(7):842-853. doi: 10.1111/j.1600-0587.2012.07793.x

Bibtex

@article{7caa7b5694984da8ac9636c247f72700,
title = "Metacommunity, mainland-island system or island communities?: Assessing the regional dynamics of plant communities in a fragmented landscape ",
abstract = "Understanding the regional dynamics of plant communities is crucial for predicting the response of plant diversity to habitat fragmentation. However, for fragmented landscapes the importance of regional processes, such as seed dispersal among isolated habitat patches, has been controversially debated. Due to the stochasticity and rarity of among-patch dispersal and colonization events, we still lack a quantitative understanding of the consequences of these processes at the landscape-scale. In this study, we used extensive field data from a fragmented, semi-arid landscape in Israel to parameterize a multi-species incidence-function model. This model simulates species occupancy pattern based on patch areas and habitat configuration and explicitly considers the locations and the shapes of habitat patches for the derivation of patch connectivity. We implemented an approximate Bayesian computation approach for parameter inference and uncertainty assessment. We tested which of the three types of regional dynamics - the metacommunity, the mainland-island, or the island communities type - best represents the community dynamics in the study area and applied the simulation model to estimate the extinction debt in the investigated landscape. We found that the regional dynamics in the patch-matrix study landscape is best represented as a system of highly isolated 'island' communities with low rates of propagule exchange among habitat patches and consequently low colonization rates in local communities. Accordingly, the extinction rates in the local communities are the main drivers of community dynamics. Our findings indicate that the landscape carries a significant extinction debt and in model projections 33-60% of all species went extinct within 1000 yr. Our study demonstrates that the combination of dynamic simulation models with field data provides a promising approach for understanding regional community dynamics and for projecting community responses to habitat fragmentation. The approach bears the potential for efficient tests of conservation activities aimed at mitigating future losses of biodiversity. {\textcopyright} 2013 The Authors.",
keywords = "Didactics of sciences education",
author = "Felix May and Itamar Giladi and Michael Ristow and Yaron Ziv and Florian Jeltsch",
note = "(in press)",
year = "2013",
month = jul,
doi = "10.1111/j.1600-0587.2012.07793.x",
language = "English",
volume = "36",
pages = "842--853",
journal = "Ecography",
issn = "0906-7590",
publisher = "Wiley-Blackwell Publishing Ltd.",
number = "7",

}

RIS

TY - JOUR

T1 - Metacommunity, mainland-island system or island communities?

T2 - Assessing the regional dynamics of plant communities in a fragmented landscape

AU - May, Felix

AU - Giladi, Itamar

AU - Ristow, Michael

AU - Ziv, Yaron

AU - Jeltsch, Florian

N1 - (in press)

PY - 2013/7

Y1 - 2013/7

N2 - Understanding the regional dynamics of plant communities is crucial for predicting the response of plant diversity to habitat fragmentation. However, for fragmented landscapes the importance of regional processes, such as seed dispersal among isolated habitat patches, has been controversially debated. Due to the stochasticity and rarity of among-patch dispersal and colonization events, we still lack a quantitative understanding of the consequences of these processes at the landscape-scale. In this study, we used extensive field data from a fragmented, semi-arid landscape in Israel to parameterize a multi-species incidence-function model. This model simulates species occupancy pattern based on patch areas and habitat configuration and explicitly considers the locations and the shapes of habitat patches for the derivation of patch connectivity. We implemented an approximate Bayesian computation approach for parameter inference and uncertainty assessment. We tested which of the three types of regional dynamics - the metacommunity, the mainland-island, or the island communities type - best represents the community dynamics in the study area and applied the simulation model to estimate the extinction debt in the investigated landscape. We found that the regional dynamics in the patch-matrix study landscape is best represented as a system of highly isolated 'island' communities with low rates of propagule exchange among habitat patches and consequently low colonization rates in local communities. Accordingly, the extinction rates in the local communities are the main drivers of community dynamics. Our findings indicate that the landscape carries a significant extinction debt and in model projections 33-60% of all species went extinct within 1000 yr. Our study demonstrates that the combination of dynamic simulation models with field data provides a promising approach for understanding regional community dynamics and for projecting community responses to habitat fragmentation. The approach bears the potential for efficient tests of conservation activities aimed at mitigating future losses of biodiversity. © 2013 The Authors.

AB - Understanding the regional dynamics of plant communities is crucial for predicting the response of plant diversity to habitat fragmentation. However, for fragmented landscapes the importance of regional processes, such as seed dispersal among isolated habitat patches, has been controversially debated. Due to the stochasticity and rarity of among-patch dispersal and colonization events, we still lack a quantitative understanding of the consequences of these processes at the landscape-scale. In this study, we used extensive field data from a fragmented, semi-arid landscape in Israel to parameterize a multi-species incidence-function model. This model simulates species occupancy pattern based on patch areas and habitat configuration and explicitly considers the locations and the shapes of habitat patches for the derivation of patch connectivity. We implemented an approximate Bayesian computation approach for parameter inference and uncertainty assessment. We tested which of the three types of regional dynamics - the metacommunity, the mainland-island, or the island communities type - best represents the community dynamics in the study area and applied the simulation model to estimate the extinction debt in the investigated landscape. We found that the regional dynamics in the patch-matrix study landscape is best represented as a system of highly isolated 'island' communities with low rates of propagule exchange among habitat patches and consequently low colonization rates in local communities. Accordingly, the extinction rates in the local communities are the main drivers of community dynamics. Our findings indicate that the landscape carries a significant extinction debt and in model projections 33-60% of all species went extinct within 1000 yr. Our study demonstrates that the combination of dynamic simulation models with field data provides a promising approach for understanding regional community dynamics and for projecting community responses to habitat fragmentation. The approach bears the potential for efficient tests of conservation activities aimed at mitigating future losses of biodiversity. © 2013 The Authors.

KW - Didactics of sciences education

UR - https://www.mendeley.com/catalogue/715dc348-b9bd-311c-8a46-0a0c430cba55/

U2 - 10.1111/j.1600-0587.2012.07793.x

DO - 10.1111/j.1600-0587.2012.07793.x

M3 - Journal articles

VL - 36

SP - 842

EP - 853

JO - Ecography

JF - Ecography

SN - 0906-7590

IS - 7

ER -

DOI