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Journal ArticleDOI

Adaptive management of biological systems: A review

TLDR
In this article, the authors present a structured review of the AM literature that relates to biodiversity and ecosystem management, with the aim of quantifying how rare AM projects actually are, and investigate whether AM practitioners in terrestrial and aquatic systems described the same problems; the degree of consistency in how the term "adaptive management" was applied; the extent to which AM projects were sustained over time; and whether articles describing AM project were more highly cited than comparable non-AM articles.
About
This article is published in Biological Conservation.The article was published on 2013-02-01. It has received 320 citations till now. The article focuses on the topics: Adaptive management & Ecosystem management.

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Contemporary forest restoration: A review emphasizing function

TL;DR: The science underpinning contemporary approaches to forest restoration practice is synthesized and some major approaches for altering structure in degraded forest stands are presented, and approaches for restoration of two key ecosystem processes, fire and flooding are described.
Journal ArticleDOI

Counting the books while the library burns: why conservation monitoring programs need a plan for action

TL;DR: This work outlines cases in which species were monitored until they suffered local, regional, or global extinction in the absence of a preplanned intervention program, and contends that conservation monitoring programs should be embedded within a management plan and characterized by vital attributes to ensure their effectiveness.
References
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Book

Generalized Linear Models

TL;DR: In this paper, a generalization of the analysis of variance is given for these models using log- likelihoods, illustrated by examples relating to four distributions; the Normal, Binomial (probit analysis, etc.), Poisson (contingency tables), and gamma (variance components).
Book

Mixed-Effects Models in S and S-PLUS

TL;DR: Linear Mixed-Effects and Nonlinear Mixed-effects (NLME) models have been studied in the literature as mentioned in this paper, where the structure of grouped data has been used for fitting LME models.