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Ecosphere
Article . 2017 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Ecosphere
Article
License: CC BY
Data sources: UnpayWall
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https://dx.doi.org/10.60692/f0...
Other literature type . 2017
Data sources: Datacite
https://dx.doi.org/10.60692/2v...
Other literature type . 2017
Data sources: Datacite
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From patches to richness: assessing the potential impact of landscape transformation on biodiversity

من الرقع إلى الثراء: تقييم التأثير المحتمل لتحول المناظر الطبيعية على التنوع البيولوجي
Authors: Marc W. Cadotte; Wouter Buytaert; Carlos Alberto Arnillas; Carlos Alberto Arnillas; Carolina Tovar;

From patches to richness: assessing the potential impact of landscape transformation on biodiversity

Abstract

AbstractNatural patchiness and human fragmentation result in habitats that are not continuously distributed. How spatial configuration of patches in fragmented habitats influences biodiversity remains largely controversial. Here, we propose a framework to extend the species–area relationship (SAR) approach to analyze how changes in habitat configuration affect species richness in fragmented habitats. We use hypothetical communities that are characterized by (1) their tolerance to human activities, (2) the dispersal capability of the individuals of any species, (3) the SAR, and (4) the species turnover among patches. Further, the species turnover is a function of (4a) the predictability of species survival and (4b) the species recolonization odds. In our framework, we identify three extreme communities that encompass the richness of all potential different communities, and thus encapsulate the richness of real communities. We propose a graph to visualize the effect of different patch sizes on species richness, an index to quantify those changes, and a second graph using the index to visualize the effect of distance between patches on species richness. After applying our framework and tools to the Tropical Andes, we found strong differences in the impact of natural vs. human‐driven fragmentation on richness between biomes. When projecting future richness values under climate change scenarios, the largest sources of uncertainty in our richness calculation (>90%) were species turnover among patches and species dispersal for most of the biomes rather than future climate or species tolerance to human activities. Habitat loss consistently decreased the species richness; however, fragmentation per se often increased it. The increment was mostly linked to the species turnover rate among patches. Our framework is a new theoretical tool to study the main patterns that underlie regional richness and therefore can provide new insights to face spatial habitat reconfiguration caused by human activities.

Keywords

Population, Body size and species richness, Fragmentation (computing), Agricultural and Biological Sciences, Biodiversity Conservation and Ecosystem Management, Habitat destruction, Sociology, Biological dispersal, Biome, Climate change, Biology, Ecology, Evolution, Behavior and Systematics, Ecosystem, Nature and Landscape Conservation, Demography, Species Distribution Modeling and Climate Change Impacts, Habitat Suitability, Ecology, Geography, Ecological Modeling, Life Sciences, Biodiversity, Species Distribution Modeling, FOS: Sociology, Habitat, FOS: Biological sciences, Environmental Science, Physical Sciences, Impact of Pollinator Decline on Ecosystems and Agriculture, Habitat fragmentation, Habitat Fragmentation, Species Richness, Landscape connectivity, Species richness

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
gold