Journal ArticleDOI
Defining spatial conservation priorities in the face of land-use and climate change
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TLDR
In this paper, the authors defined spatial priorities for the conservation of non-flying mammals inhabiting the Cerrado Biodiversity Hotspot, Brazil, that overcome the likely impacts of land-use and climate change to this imperiled fauna.About:
This article is published in Biological Conservation.The article was published on 2013-02-01. It has received 162 citations till now. The article focuses on the topics: Effects of global warming & Climate model.read more
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Standards for distribution models in biodiversity assessments
Miguel B. Araújo,Miguel B. Araújo,Miguel B. Araújo,Robert P. Anderson,Robert P. Anderson,Robert P. Anderson,A. Márcia Barbosa,Colin M. Beale,Carsten F. Dormann,Regan Early,Raquel A. Garcia,Antoine Guisan,Luigi Maiorano,Luigi Maiorano,Babak Naimi,Robert B. O'Hara,Niklaus E. Zimmermann,Niklaus E. Zimmermann,Carsten Rahbek,Carsten Rahbek +19 more
TL;DR: It is argued that implementation of agreed-upon standards for models in biodiversity assessments would promote transparency and repeatability, eventually leading to higher quality of the models and the inferences used in assessments.
Journal ArticleDOI
Habitat loss and the effectiveness of protected areas in the Cerrado Biodiversity Hotspot
Renata Dias Françoso,Reuber Albuquerque Brandão,Cristiano Nogueira,Yuri Botelho Salmona,Ricardo Machado,Guarino R. Colli +5 more
TL;DR: In this article, the authors evaluate how different categories of protected areas (PAs) in the Cerrado contribute to achieving the 17% conservation target defined by the Convention on Biological Diversity (CBD).
Journal ArticleDOI
Incorporating climate change into spatial conservation prioritisation: A review
Kendall R. Jones,Kendall R. Jones,James E. M. Watson,James E. M. Watson,Hugh P. Possingham,Hugh P. Possingham,Carissa J. Klein +6 more
TL;DR: A review of the literature on spatial prioritization for climate change can be found in this paper, where the most common approaches (n = 41, 89%) utilize forecasts of species distributions and aimed to either protect future species habitats or identify climate refugia to shelter species from climate change.
Journal ArticleDOI
Spatial predictions at the community level: from current approaches to future frameworks.
TL;DR: This review focuses on models that were developed for generating spatially explicit predictions of communities, with a particular focus on species richness, composition, relative abundance and related attributes, with special emphasis on conservation needs under climate change.
References
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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.
Journal ArticleDOI
Biodiversity hotspots for conservation priorities
Norman Myers,Russell A. Mittermeier,Cristina G. Mittermeier,Gustavo A. B. da Fonseca,Jennifer Kent +4 more
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.
Biometery: The principles and practice of statistics in biological research
TL;DR: In this paper, the authors present a model for the analysis of variance in a single-classification and two-way and multiway analysis of Variance with the assumption of correlation.
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Biometry: The Principles and Practice of Statistics in Biological Research
Robert R. Sokal,F. James Rohlf +1 more
TL;DR: In this paper, the authors present a model for the analysis of variance in a single-classification and two-way and multiway analysis of Variance with the assumption of correlation.
Journal ArticleDOI
Very high resolution interpolated climate surfaces for global land areas.
Robert J. Hijmans,Susan E. Cameron,Susan E. Cameron,Juan L. Parra,Peter G. Jones,Andy Jarvis +5 more
TL;DR: In this paper, the authors developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km spatial resolution).
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