Evaluating evolutionary history and adaptive differentiation to identify conservation units of Canada lynx (Lynx canadensis)

Prentice, Melanie B.; Bowman, Jeff; Murray, Dennis L.; Klütsch, Cornelya F. C.; Khidas, Kamal; Wilson, Paul J.

doi:10.1016/j.gecco.2019.e00708

Cited by 6 publications

(4 citation statements)

References 95 publications

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“…Although multiple sources of information (e.g., behavior, environment, geography, life history, morphology, socioeconomic value) can be used to help describe units for management and conservation, most definitions integrate adaptive genetic variation, neutral genetic variation, or both, but in different ways (Allendorf et al 2013). For example, some definitions of evolutionary significant units (ESUs; Ryder 1986) stress longterm historical isolation and neutral divergence demonstrated by reciprocal monophyly at mtDNA and significant allele frequency differences at nuclear loci (Moritz 1994), whereas others emphasize evidence of adaptive divergence (Waples 1995, Funk et al 2012, Prentice et al 2019 or ecological and genetic inexchangeability (Crandall et al 2000) between separate ESUs.…”

Section: Box 162 Determining Individual Identification From Sample Ge...mentioning

confidence: 99%

“…In many cases, genetic data have not supported subspecies taxonomy based on geographic and morphological differences (Hall 1981), and instead suggest a collapsing of subspecific entities (e.g., American badger [Taxidea taxus; Kierepka and Latch 2016b], bobcat [Reding et al 2012, Kitchener et al 2017, mountain lion [Puma concolor; Culver et al 2000, Kitchener et al 2017). In other cases, genetic data have revealed cryptic divergences, often due to Pleistocene climate fluctuations and historic isolation in fragmented glacial refugia (e.g., bobcat [Reding et al 2012], Canada lynx [Prentice et al 2019], gray fox [Urocyon cinereoargenteus; Goddard et al 2015, Reding et al 2021) or to differences in prey-habitat specialization (e.g., gray wolf [Carmichael et al 2001, Musiani et al 2007). Despite best attempts to classify taxonomic units, genetic and genomic tools also reveal that such boundaries are fluid, and introgression between species is likely more common than previously thought (Koen et al 2014, Coates et al 2018.…”

Section: Box 162 Determining Individual Identification From Sample Ge...mentioning

confidence: 99%

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Genetics for Furbearer Management and Conservation

Reding,

Sacks,

Latch

et al. 2024

Wild Furbearer Management and Conservation in North America

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Reasonable effort was made to publish accurate, complete, and reliable data and information, but the authors, editors, and publishers cannot assume responsibility for the validity and completeness of all data and information or the consequences of their use. The authors, editors, and publisher also made reasonable effort to determine copyright holders of all material reproduced in this publication. If any copyright material was not acknowledged, please contact the publisher.All rights reserved. The U.S. Fish and Wildlife Service reserves a royalty-free, non-exclusive, and irrevocable right to reproduce, publish, or otherwise use the work for Federal purposes, and to authorize others to do so. Except for the foregoing and as permitted under U.S. Copyright Law, no part of this book chapter may be reproduced in any form by any electronic, mechanical, or other means without written permission from the publisher. Permission from the publisher to reprint, transmit, or utilize this book chapter in its complete form for educational use for the purpose of disseminating accurate information about furbearer management, research, and conservation; and trapping, hunting, and the North American Model of Wildlife Conservation, is not required for the following entities: local, state, provincial, tribal, and federal government agencies with jurisdiction within Canada, Mexico, and the United States; local, state, provincial, tribal, and national wildlife conservation and management organizations (including trapping organizations) that directly and actively promote trapping and hunting and are located within Canada, Mexico, and the United States; and bona-fide academic research and educational institutions in Canada, Mexico, and the United States that utilize courses or workshops to promote trapping and hunting.

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Section: Box 162 Determining Individual Identification From Sample Ge...mentioning

confidence: 99%

Section: Box 162 Determining Individual Identification From Sample Ge...mentioning

confidence: 99%

Genetics for Furbearer Management and Conservation

Reding,

Sacks,

Latch

et al. 2024

Wild Furbearer Management and Conservation in North America

View full text Add to dashboard Cite

show abstract

“…With the expectation of reduced gene flow, reduced sharing of haplotypes or alleles, and greater disparities in genetic frequencies among subspecies in comparison to among populations within subspecies, hierarchical analyses such as AMOVA and analyses of gene trees can be used to determine if sets of genetically divergent populations align with phenotypically defined subspecies (e.g. Braby et al 2012;Sackett et al 2014, Mee et al 2015Prentice et al 2019;Wilson et al 2013;Taylor et al 2013, Pavlova et al 2014.…”

Section: Subspecies and Conservationmentioning

confidence: 99%

Conserve the eco-evolutionary dynamic, not the subspecies: phenological divergence and gene flow between temporal cohorts of Euphilotes ancilla endemic to southern Nevada

et al. 2020

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“…Maintaining biodiversity is a global concern and has immeasurable economic, social and environmental values. However, disordered population growth, the consequent anthropogenic interference and climate change have threatened flora and fauna species on all continents (PRENTICE et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Geotechnology applied to predict the risk of occurrence of fire in the Atlantic Forest

Ramalho

Neder

Fiedler

et al. 2020

RICA

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The maintenance of biodiversity is a global concern in economic, social and environmental terms. Thus, conservation units for the protection of natural environments were created. Despite the importance of these areas, forest fires have caused immeasurable and constant damage to Conservation Units. In view of this, the objective of this study was to determine the risk areas of forest fire occurrence through Fuzzy logic modeling in the Córrego Grande Biological Reserve, located in the Mata Atlântica Brazilian biome. In order to prospect for areas at risk of forest fires, the following variables were inserted in the model: land use, road network, slope and relief orientation. Finally, the model was validated by comparing the location of fire occurrences between the years 2008 and 2018, and a layout of the risk classes in the study area. In doing so, it was found that 65.87% of the area is between the 'moderate' and 'very high' range of fire risk classes, and that 70.22% of the fires which occurred in the studied period also occurred in that class range. The study concluded that the most influential variable on the risk level of fire occurrence is the forest road network. In this way, the proposed methodology can be applied to any other areas and types of land cover.

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Evaluating evolutionary history and adaptive differentiation to identify conservation units of Canada lynx (Lynx canadensis)

Cited by 6 publications

References 95 publications

Genetics for Furbearer Management and Conservation

Genetics for Furbearer Management and Conservation

Conserve the eco-evolutionary dynamic, not the subspecies: phenological divergence and gene flow between temporal cohorts of Euphilotes ancilla endemic to southern Nevada

Geotechnology applied to predict the risk of occurrence of fire in the Atlantic Forest

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