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Microclimatic conditions at forest edges have significant impacts on vegetation structure in large Atlantic forest fragments

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TLDR
In this paper, the relationship between microclimate and vegetation structure (for instance, basal area, trees mean height, dead trees and damage trees) at the edge of forest fragments in the Atlantic Forest domain was investigated.
Abstract
Forest fragmentation creates forest edges, and the effect of those edges increases as the size of forest fragments decreases Edge effects include changes to microclimatic conditions at the forest edge, which affect vegetation structure No previous studies have directly tested the relationship between microclimate and vegetation structure (for instance, basal area, trees mean height, dead trees and damage trees) at the edge of forest fragments in the Atlantic Forest domain We tested the following three hypotheses: (i) the microclimatic conditions differ between the edge and the interior of the forest, (ii) the forest structure differs between the edge and the interior of the forest and (iii) changes to microclimatic conditions at the forest edge negatively affect vegetation structure at the edges Our results demonstrate that edge habitats are significantly more susceptible to strong winds, lower humidity and higher air temperatures than forest interiors The microclimate may be considered the principal factor that explains the difference between the vegetation structure of the forest edge and the forest interior Our results suggest that even large forest fragments in the Brazilian Atlantic Forest may be impacted by negative edge effects

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The shrinkage of a forest: Landscape-scale deforestation leading to overall changes in local forest structure

TL;DR: In this paper, the authors evaluated how landscape-scale forest loss affects the forest structure and found that forest structure characteristics were more severely degraded in landscapes with less than 40% forest cover.
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Does forest fragmentation cause an increase in forest temperature

TL;DR: In this paper, the effect of forest fragmentation on air temperature was investigated using meta-analysis techniques and the authors found a negative edge-interior temperature gradient, but correlation coefficients were highly variable and significant only for temperate and tropical forests surrounded by a highly contrasting open matrix.
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Gradients of microclimate, carbon and nitrogen in transition zones of fragmented landscapes – a review

TL;DR: In this paper, the authors review the literature on microclimate and matter cycling in transition zones and summarise this information using meta-analysis to better understand bio-geochemical and biogeophysical processes and their spatial extent.
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Effects of landscape configuration and composition on phylogenetic diversity of trees in a highly fragmented tropical forest

TL;DR: Changes in MPD and sesMNTD suggest that extirpation of species at edges or in highly fragmented landscapes increases the dominance of species within a subset of clades (phylogenetic clustering), likely those adapted to disturbance.
References
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R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
Book

Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

TL;DR: The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set (Multi-Model Inference).
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Biodiversity hotspots for conservation priorities

TL;DR: A ‘silver bullet’ strategy on the part of conservation planners, focusing on ‘biodiversity hotspots’ where exceptional concentrations of endemic species are undergoing exceptional loss of habitat, is proposed.
Book

Experimental Design and Data Analysis for Biologists

TL;DR: An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data is as discussed by the authors, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models Multivariate techniques, including classification and ordination, are then introduced.
Book

The R Book

TL;DR: The R Book is the first comprehensive reference manual for the R language, including practical guidance and full coverage of the graphics facilities, and introduces the advantages of the R environment, detailing its applications in a wide range of disciplines.
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