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Ecological networks are more sensitive to plant than to animal extinction under climate change

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TLDR
It is discovered that animal species that interact with a low diversity of plant species have narrow climatic niches and are most vulnerable to climate change.
Abstract
Impacts of climate change on individual species are increasingly well documented, but we lack understanding of how these effects propagate through ecological communities. Here we combine species distribution models with ecological network analyses to test potential impacts of climate change on >700 plant and animal species in pollination and seed-dispersal networks from central Europe. We discover that animal species that interact with a low diversity of plant species have narrow climatic niches and are most vulnerable to climate change. In contrast, biotic specialization of plants is not related to climatic niche breadth and vulnerability. A simulation model incorporating different scenarios of species coextinction and capacities for partner switches shows that projected plant extinctions under climate change are more likely to trigger animal coextinctions than vice versa. This result demonstrates that impacts of climate change on biodiversity can be amplified via extinction cascades from plants to animals in ecological networks.

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Journal ArticleDOI

Ecological Networks Across Environmental Gradients

TL;DR: Taking spatial and temporal processes into account can further elucidate network variation and improve predictions of network responses to environmental change.
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Global warming and plant–pollinator mismatches

TL;DR: Overall plant–pollinator interactions seem to be resilient biological networks, particularly because generalist species can buffer these changes due to their plastic behaviour, but information is lacking on where and why spatial mismatches do occur and how they impact the fitness of plants and pollinators, in order to fully assess if adaptive evolutionary changes can keep pace with global warming predictions.
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Recent Anthropogenic Plant Extinctions Differ in Biodiversity Hotspots and Coldspots.

TL;DR: This dataset reports on one of the most comprehensive datasets to date, including regional and global plant extinctions in both biodiversity hotspots and coldspots, with higher levels of taxonomic uniqueness being lost in biodiversitycoldspots compared to hotspots.
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Trait-Based Assessments of Climate-Change Impacts on Interacting Species

TL;DR: A trait-based framework for predicting the responses of interacting plants and animals to climate change is presented and it is proposed that incorporating these traits into predictive models will improve assessments of the responds of interacting species toClimate change.
References
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Journal ArticleDOI

Fitting Linear Mixed-Effects Models Using lme4

TL;DR: In this article, a model is described in an lmer call by a formula, in this case including both fixed-and random-effects terms, and the formula and data together determine a numerical representation of the model from which the profiled deviance or the profeatured REML criterion can be evaluated as a function of some of model parameters.
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Very high resolution interpolated climate surfaces for global land areas.

TL;DR: In this paper, the authors developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km spatial resolution).
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A working guide to boosted regression trees

TL;DR: This study provides a working guide to boosted regression trees (BRT), an ensemble method for fitting statistical models that differs fundamentally from conventional techniques that aim to fit a single parsimonious model.
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The ade4 Package: Implementing the Duality Diagram for Ecologists

TL;DR: The theory of the duality diagram is presented and its implementation in ade4 is discussed, which follows the tradition of the French school of "Analyse des Donnees" and is based on the use of theDuality diagram.
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