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Plant Reproductive Susceptibility to Habitat Fragmentation: Review and Synthesis Through a Meta-Analysis

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TLDR
A highly significant correlation between the effect sizes of fragmentation on pollination and reproductive success suggests that the most proximate cause of reproductive impairment in fragmented habitats may be pollination limitation.
Abstract
The loss and fragmentation of natural habitats by human activities are pervasive phenomena in terrestrial ecosystems across the Earth and the main driving forces behind current biodiversity loss. Animal-mediated pollination is a key process for the sexual reproduction of most extant flowering plants, and the one most consistently studied in the context of habitat fragmentation. By means of a meta-analysis we quantitatively reviewed the results from independent fragmentation studies throughout the last two decades, with the aim of testing whether pollination and reproduction of plant species may be differentially susceptible to habitat fragmentation depending on certain reproductive traits that typify the relationship with and the degree of dependence on their pollinators. We found an overall large and negative effect of fragmentation on pollination and on plant reproduction. The compatibility system of plants, which reflects the degree of dependence on pollinator mutualism, was the only reproductive trait that explained the differences among the species' effect sizes. Furthermore, a highly significant correlation between the effect sizes of fragmentation on pollination and reproductive success suggests that the most proximate cause of reproductive impairment in fragmented habitats may be pollination limitation. We discuss the conservation implications of these findings and give some suggestions for future research into this area.

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Citations
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Journal ArticleDOI

Global pollinator declines: trends, impacts and drivers.

TL;DR: The nature and extent of reported declines, and the potential drivers of pollinator loss are described, including habitat loss and fragmentation, agrochemicals, pathogens, alien species, climate change and the interactions between them are reviewed.
Journal ArticleDOI

Global change and species interactions in terrestrial ecosystems.

TL;DR: It is concluded that in order to reliably predict the effects of GEC on community and ecosystem processes, the greatest single challenge will be to determine how biotic and abiotic context alters the direction and magnitude of G EC effects on biotic interactions.
Journal ArticleDOI

A meta‐analysis of bees' responses to anthropogenic disturbance

TL;DR: Both bee abundance and species richness were significantly, negatively affected by disturbance, however, the magnitude of the effects was not large and the only disturbance type showing a significant negative effect, habitat loss and fragmentation, was statistically significant only in systems where very little natural habitat remains.
References
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Book

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TL;DR: In this article, the authors present a model for estimating the effect size from a series of experiments using a fixed effect model and a general linear model, and combine these two models to estimate the effect magnitude.
Journal ArticleDOI

The file drawer problem and tolerance for null results

TL;DR: Quantitative procedures for computing the tolerance for filed and future null results are reported and illustrated, and the implications are discussed.
Journal ArticleDOI

Statistical Methods for Meta-Analysis.

TL;DR: In this paper, the authors present a model for estimating the effect size from a series of experiments using a fixed effect model and a general linear model, and combine these two models to estimate the effect magnitude.
Book

Meta-analytic procedures for social research

TL;DR: In this paper, the authors define research results, retrieve and assess research results and compare and combine research results to combine probabilities, and evaluate meta-analytic procedures and meta-Analytic results.
Journal ArticleDOI

The nested assembly of plant-animal mutualistic networks

TL;DR: It is shown that mutualistic networks are highly nested; that is, the more specialist species interact only with proper subsets of those species interacting with the more generalists, which generates highly asymmetrical interactions and organizes the community cohesively around a central core of interactions.
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