Journal ArticleDOI
Saving sage-grouse from the trees: A proactive solution to reducing a key threat to a candidate species
Sharon Baruch-Mordo,Jeffrey S. Evans,Jeffrey S. Evans,John P. Severson,David E. Naugle,David E. Naugle,Jeremy D. Maestas,Jeremy D. Maestas,Joseph M. Kiesecker,Michael J. Falkowski,Christian A. Hagen,Kerry P. Reese +11 more
Reads0
Chats0
TLDR
In this paper, the authors focus on conifer encroachment threats to greater sage-grouse (Centrocercus urophasianus) and demonstrate an approach that links species demographics with attributes of conservation threats to inform targeting of investments.About:
This article is published in Biological Conservation.The article was published on 2013-11-01. It has received 170 citations till now. The article focuses on the topics: Endangered species.read more
Citations
More filters
Greater Sage-Grouse Population Dynamics and Probability of Persistence
TL;DR: A comprehensive analysis of the population dynamics and probability of persistence of the Greater Sage-Grouse (Centrocercus urophasianus) is presented in this paper, where the authors use a Gompertz model with 1-year time lags and a declining carrying capacity through time.
Journal ArticleDOI
Challenges and limitations to native species restoration in the Great Basin, USA
TL;DR: In this article, a variety of environmental factors contribute to the lack of restoration success in this region, but seedling mortality from freezing and drought has been identified as a primary demographic limitation to successful bunchgrass establishment.
Journal ArticleDOI
Using Resilience and Resistance Concepts to Manage Persistent Threats to Sagebrush Ecosystems and Greater Sage-Grouse
Jeanne C. Chambers,Jeremy D. Maestas,David A. Pyke,Chad S. Boyd,Mike Pellant,Amarina Wuenschel +5 more
TL;DR: In this paper, the authors describe an approach for addressing persistent ecosystem threats to at-risk species based on ecological resilience and resistance concepts that is currently being used to conserve greater sage-grouse (Centrocercus urophasianus) and sagebrush ecosystems.
Journal ArticleDOI
Public lands and private waters: scarce mesic resources structure land tenure and sage‐grouse distributions
TL;DR: The authors used remote sensing and point process analyses to evaluate spatio-temporal variability in limited mesic resources in relation to greater sage-grouse (Centrocercus urophasianus) distributions in Oregon, California, and northwest Nevada, USA, 1984-2011.
Journal ArticleDOI
Importance of regional variation in conservation planning: a rangewide example of the Greater Sage-Grouse
Kevin E. Doherty,Jeffrey S. Evans,Jeffrey S. Evans,Peter S. Coates,Lara M. Juliusson,Bradley C. Fedy +5 more
TL;DR: This paper developed a probabilistic model of occupied breeding habitat by statistically linking habitat characteristics within 4 miles of an occupied lek using a nonlinear machine learning technique (Random Forests).
References
More filters
Journal Article
R: A language and environment for statistical computing.
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.
Journal ArticleDOI
Random Forests
TL;DR: Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.
Classification and Regression by randomForest
Andy Liaw,Matthew C. Wiener +1 more
TL;DR: random forests are proposed, which add an additional layer of randomness to bagging and are robust against overfitting, and the randomForest package provides an R interface to the Fortran programs by Breiman and Cutler.
Journal ArticleDOI
Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
Carsten F. Dormann,Jane Elith,Sven Bacher,Carsten M. Buchmann,Gudrun Carl,Gabriel Carré,Jaime Ricardo García Márquez,Bernd Gruber,Bruno Lafourcade,Pedro J. Leitão,Tamara Münkemüller,Colin J. McClean,Patrick E. Osborne,Björn Reineking,Boris Schröder,Andrew K. Skidmore,Damaris Zurell,Sven Lautenbach +17 more
TL;DR: It was found that methods specifically designed for collinearity, such as latent variable methods and tree based models, did not outperform the traditional GLM and threshold-based pre-selection and the value of GLM in combination with penalised methods and thresholds when omitted variables are considered in the final interpretation.