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Susan E. Cameron
Harvard University
9Publications
9H-index
11.5kCitations
Publications 9
Newest
Published on Mar 1, 2011in Evolutionary Applications5.04
Henri A. Thomassen17
Estimated H-index: 17
(UCLA: University of California, Los Angeles),
Trevon Fuller20
Estimated H-index: 20
(UCLA: University of California, Los Angeles)
+ 16 AuthorsJasmin Schlunegger2
Estimated H-index: 2
(UCLA: University of California, Los Angeles)
Human-induced land use changes are causing extensive habitat fragmentation. As a result, many species are not able to shift their ranges in response to climate change and will likely need to adapt in situ to changing climate conditions. Consequently, a prudent strategy to maintain the ability of populations to adapt is to focus conservation efforts on areas where levels of intraspecific variation are high. By doing so, the potential for an evolutionary response to environmental change is maximiz...
Published on Feb 1, 2011in Global Change Biology8.88
Emily M. Rubidge7
Estimated H-index: 7
(University of California, Berkeley),
William B. Monahan4
Estimated H-index: 4
(University of California, Berkeley)
+ 2 AuthorsJustin S. Brashares28
Estimated H-index: 28
(University of California, Berkeley)
Species distribution models are commonly used to predict species responses to climate change. However, their usefulness in conservation planning and policy is controversial because they are difficult to validate across time and space. Here we capitalize on small mammal surveys repeated over a century in Yosemite National Park, USA, to assess accuracy of model predictions. Historical (1900-1940) climate, vegetation, and species occurrence data were used to develop single- and multi-species multiv...
Published on Jan 1, 2010in Evolutionary Applications5.04
Henri A. Thomassen17
Estimated H-index: 17
(UCLA: University of California, Los Angeles),
Wolfgang Buermann23
Estimated H-index: 23
(UCLA: University of California, Los Angeles)
+ 7 AuthorsThomas B. Smith61
Estimated H-index: 61
(UCLA: University of California, Los Angeles)
To better understand how environment shapes phenotypic and genetic variation, we explore the relationship between environmental variables across Ecuador and genetic and morphological variation in the wedge-billed woodcreeper (Glyphorynchus spirurus), a common Neotropical rainforest bird species. Generalized dissimilarity models show that variation in amplified fragment length polymorphism markers was strongly associated with environmental variables on both sides of the Andes, but could also part...
Published on Aug 1, 2008in Conservation Biology6.19
Susan E. Cameron9
Estimated H-index: 9
(UC Davis: University of California, Davis),
Kristen J. Williams19
Estimated H-index: 19
(CSIRO: Commonwealth Scientific and Industrial Research Organisation),
David K. Mitchell3
Estimated H-index: 3
(CI: Conservation International)
: Scarce resources and competing land-use goals necessitate efficient biodiversity conservation. Combining multicriteria analysis with conservation decision-support tools improves efficiency of conservation planning by maximizing outcomes for biodiversity while minimizing opportunity costs to society. An opportunity cost is the benefit that could have been received by taking an alternative course of action (i.e., costs to society of protecting an area for biodiversity rather than developing it f...
Published on Mar 11, 2008in Himalayan Journal of Sciences
Sahotra Sarkar39
Estimated H-index: 39
(University of Texas at Austin),
Michael Mayfield3
Estimated H-index: 3
+ 2 AuthorsJustin Garson13
Estimated H-index: 13
(University of Texas at Austin)
We present a framework for systematic conservation planning for biodiversity with an emphasis on the Indian context. We illustrate the use of this framework by analyzing two data sets consisting of environmental and physical features that serve as surrogates for biodiversity. The aim was to select networks of potential conservation areas (such as reserves and national parks) which include representative fractions of these environmental features or surrogates. The first data set includes the enti...
Published on Jan 1, 2006
Kristen J. Williams19
Estimated H-index: 19
,
Mitchell D.K1
Estimated H-index: 1
+ 6 AuthorsC.R. Margules1
Estimated H-index: 1
Published on Dec 1, 2005in International Journal of Climatology3.60
Robert J. Hijmans40
Estimated H-index: 40
(Museum of Vertebrate Zoology),
Susan E. Cameron9
Estimated H-index: 9
(UQ: University of Queensland)
+ 2 AuthorsAndy Jarvis35
Estimated H-index: 35
(CIAT: International Center for Tropical Agriculture)
We 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). The climate elements considered were monthly precipitation and mean, minimum, and maximum temperature. Input data were gathered from a variety of sources and, where possible, were restricted to records from the 1950–2000 period. We used the thin-plate smoothing spline algorithm implemented in the ANUSPLIN package for interpola...
Published on Feb 24, 2004in Diversity and Distributions4.09
Sahotra Sarkar39
Estimated H-index: 39
(University of Texas at Austin),
Christopher Pappas2
Estimated H-index: 2
(University of Texas at Austin)
+ 2 AuthorsSusan E. Cameron9
Estimated H-index: 9
(University of Texas at Austin)
We analyse optimal and heuristic place prioritization algorithms for biodiversity conservation area network design which can use probabilistic data on the distribution of surrogates for biodiversity. We show how an Expected Surrogate Set Covering Problem (ESSCP) and a Maximal Expected Surrogate Covering Problem (MESCP) can be linearized for computationally efficient solution. For the ESSCP, we study the performance of two optimization software packages (XPRESS and CPLEX) and five heuristic algor...
Published on Jan 1, 2004
Sahotra Sarkar39
Estimated H-index: 39
,
Alexander Moffett7
Estimated H-index: 7
+ 3 AuthorsJustin Garson13
Estimated H-index: 13
A two-stage protocol for the design of conservation area networks which allows multiple constraint synchronization is described. During the first stage areas are selected to represent components of biodiversity up to speci- fied targets as economically as possible. The principal heuristic used is complementarity. This process results in a set of conservation area networks which comprise the feasible alternatives for the subsequent analysis. Dur- ing the second stage, multiple criteria (including...
Published on Jan 1, 2004in BioScience6.59
Simon Ferrier38
Estimated H-index: 38
,
George V. N. Powell37
Estimated H-index: 37
+ 17 AuthorsDaniel Faith1
Estimated H-index: 1
Global conservation assessments require information on the distribution of biodiversity across the planet. Yet this information is often mapped at a very coarse spatial resolution relative to the scale of most land-use and management decisions. Furthermore, such mapping tends to focus selectively on better-known elements of biodiversity (e.g., vertebrates). We introduce a new approach to describing and mapping the global distribution of terrestrial biodiversity that may help to alleviate these p...
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