NDLI: Sample design effects in landscape genetics

Content Provider	Springer Nature Link
Author	Oyler McCance, Sara J. Fedy, Bradley C. Landguth, Erin L.
Copyright Year	2012
Abstract	An important research gap in landscape genetics is the impact of different field sampling designs on the ability to detect the effects of landscape pattern on gene flow. We evaluated how five different sampling regimes (random, linear, systematic, cluster, and single study site) affected the probability of correctly identifying the generating landscape process of population structure. Sampling regimes were chosen to represent a suite of designs common in field studies. We used genetic data generated from a spatially-explicit, individual-based program and simulated gene flow in a continuous population across a landscape with gradual spatial changes in resistance to movement. Additionally, we evaluated the sampling regimes using realistic and obtainable number of loci (10 and 20), number of alleles per locus (5 and 10), number of individuals sampled (10–300), and generational time after the landscape was introduced (20 and 400). For a simulated continuously distributed species, we found that random, linear, and systematic sampling regimes performed well with high sample sizes (>200), levels of polymorphism (10 alleles per locus), and number of molecular markers (20). The cluster and single study site sampling regimes were not able to correctly identify the generating process under any conditions and thus, are not advisable strategies for scenarios similar to our simulations. Our research emphasizes the importance of sampling data at ecologically appropriate spatial and temporal scales and suggests careful consideration for sampling near landscape components that are likely to most influence the genetic structure of the species. In addition, simulating sampling designs a priori could help guide filed data collection efforts
Starting Page	275
Ending Page	285
Page Count	11
File Format	PDF
ISSN	15660621
Journal	Conservation Genetics
Volume Number	14
Issue Number	2
e-ISSN	15729737
Language	English
Publisher	Springer Netherlands
Publisher Date	2012-10-09
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Partial Mantel test CDPOP Causal modeling Simulation modeling Isolation-by-distance Isolation-by-landscape resistance Isolation-by-barrier Cluster sampling Linear sampling Systematic sampling Random sampling Conservation Biology/Ecology Plant Sciences Animal Anatomy / Morphology / Histology Evolutionary Biology
Content Type	Text
Resource Type	Article
Subject	Genetics Ecology, Evolution, Behavior and Systematics

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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