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      Land-use Change Dynamics, Soil Type and Species Forming Mono-dominant Patches: the Case ofPteridium aquilinumin a Neotropical Rain Forest Region

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      Biotropica
      Wiley-Blackwell

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          The arcsine is asinine: the analysis of proportions in ecology

          The arcsine square root transformation has long been standard procedure when analyzing proportional data in ecology, with applications in data sets containing binomial and non-binomial response variables. Here, we argue that the arcsine transform should not be used in either circumstance. For binomial data, logistic regression has greater interpretability and higher power than analyses of transformed data. However, it is important to check the data for additional unexplained variation, i.e., overdispersion, and to account for it via the inclusion of random effects in the model if found. For non-binomial data, the arcsine transform is undesirable on the grounds of interpretability, and because it can produce nonsensical predictions. The logit transformation is proposed as an alternative approach to address these issues. Examples are presented in both cases to illustrate these advantages, comparing various methods of analyzing proportions including untransformed, arcsine- and logit-transformed linear models and logistic regression (with or without random effects). Simulations demonstrate that logistic regression usually provides a gain in power over other methods.
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            Alternative states and positive feedbacks in restoration ecology.

            There is increasing interest in developing better predictive tools and a broader conceptual framework to guide the restoration of degraded land. Traditionally, restoration efforts have focused on re-establishing historical disturbance regimes or abiotic conditions, relying on successional processes to guide the recovery of biotic communities. However, strong feedbacks between biotic factors and the physical environment can alter the efficacy of these successional-based management efforts. Recent experimental work indicates that some degraded systems are resilient to traditional restoration efforts owing to constraints such as changes in landscape connectivity and organization, loss of native species pools, shifts in species dominance, trophic interactions and/or invasion by exotics, and concomitant effects on biogeochemical processes. Models of alternative ecosystem states that incorporate system thresholds and feedbacks are now being applied to the dynamics of recovery in degraded systems and are suggesting ways in which restoration can identify, prioritize and address these constraints.
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              Performance Comparisons of Co-Occurring Native and Alien Invasive Plants: Implications for Conservation and Restoration

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                Author and article information

                Journal
                Biotropica
                Biotropica
                Wiley-Blackwell
                00063606
                January 2015
                January 2015
                : 47
                : 1
                : 18-26
                Article
                10.1111/btp.12181
                77b87f50-1394-4dd6-9d07-093082466a62
                © 2015

                http://doi.wiley.com/10.1002/tdm_license_1.1

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