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Invasive dominance and resident diversity: unpacking the impact of plant invasion on biodiversity and ecosystem function

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This article is published in Ecological Monographs.The article was published on 2020-11-01. It has received 23 citations till now. The article focuses on the topics: Biodiversity.

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Revisiting the Holy Grail: Using plant functional traits to understand ecological processes

TL;DR: The utility of trait‐based approaches in ecology will benefit from efforts that demonstrate how these traits and indices influence organismal, community, and ecosystem processes across vegetation types, which may be achieved through meta‐analysis and enhancement of trait databases.
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Nighttime climate warming enhances inhibitory effects of atmospheric nitrogen deposition on the success of invasive Solidago canadensis

TL;DR: In this article, the authors investigated the effect of climate warming, nitrogen deposition, and native plant diversity on plant invasion success and found that Native plants benefit from warming or N-addition more than invasive S. canadensis.
References
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NIH Image to ImageJ: 25 years of image analysis

TL;DR: The origins, challenges and solutions of NIH Image and ImageJ software are discussed, and how their history can serve to advise and inform other software projects.
Book

ggplot2: Elegant Graphics for Data Analysis

TL;DR: This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkisons Grammar of Graphics to create a powerful and flexible system for creating data graphics.
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An Analysis of Variance Test for Normality (Complete Samples)

S. S. Shapiro, +1 more
- 01 Dec 1965 - 
TL;DR: In this article, a new statistical procedure for testing a complete sample for normality is introduced, which is obtained by dividing the square of an appropriate linear combination of the sample order statistics by the usual symmetric estimate of variance.
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Conducting Meta-Analyses in R with the metafor Package

TL;DR: The metafor package provides functions for conducting meta-analyses in R and includes functions for fitting the meta-analytic fixed- and random-effects models and allows for the inclusion of moderators variables (study-level covariates) in these models.
Journal ArticleDOI

Generalized linear mixed models: a practical guide for ecology and evolution

TL;DR: The use (and misuse) of GLMMs in ecology and evolution are reviewed, estimation and inference are discussed, and 'best-practice' data analysis procedures for scientists facing this challenge are summarized.
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