The relationship between least-cost and resistance distance

Marrotte, Robby R.; Bowman, Jeff

doi:10.1371/journal.pone.0174212

Cited by 41 publications

(52 citation statements)

References 53 publications

(83 reference statements)

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“…We computed landscape resistance to dispersal (McRae, 2006) using the commuteDistance() function in the "gdistance" R package ( van Etten, 2017). Resistance distances calculated with commuteDistance() and Circuitscape (McRae, Shah, & Edelman, 2013) have been shown to be equivalent (Marrotte & Bowman, 2017). We calculated geographic distance among sample sites using pointDistance() in the "gdistance" R package.…”

Section: Landscape Composition and Configurationmentioning

confidence: 99%

Effects of contemporary agricultural land cover on Colorado potato beetle genetic differentiation in the Columbia Basin and Central Sands

Crossley

Rondon

Schoville

2019

Ecology and Evolution

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Landscape structure, which can be manipulated in agricultural landscapes through crop rotation and modification of field edge habitats, can have important effects on connectivity among local populations of insects. Though crop rotation is known to influence the abundance of Colorado potato beetle (CPB; Leptinotarsa decemlineata Say) in potato (Solanum tuberosum L.) fields each year, whether crop rotation and intervening edge habitat also affect genetic variation among populations is unknown. We investigated the role of landscape configuration and composition in shaping patterns of genetic variation in CPB populations in the Columbia Basin of Oregon and Washington, and the Central Sands of Wisconsin, USA. We compared landscape structure and its potential suitability for dispersal, tested for effects of specific land cover types on genetic differentiation among CPB populations, and examined the relationship between crop rotation distances and genetic diversity. We found higher genetic differentiation between populations separated by low potato land cover, and lower genetic diversity in populations occupying areas with greater crop rotation distances. Importantly, these relationships were only observed in the Columbia Basin, and no other land cover types influenced CPB genetic variation. The lack of signal in Wisconsin may arise as a consequence of greater effective population size and less pronounced genetic drift. Our results suggest that the degree to which host plant land cover connectivity affects CPB genetic variation depends on population size and that power to detect landscape effects on genetic differentiation might be reduced in agricultural insect pest systems.

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Section: Landscape Composition and Configurationmentioning

confidence: 99%

Effects of contemporary agricultural land cover on Colorado potato beetle genetic differentiation in the Columbia Basin and Central Sands

Crossley

Rondon

Schoville

2019

Ecology and Evolution

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“…The dashed, black lines denote breaks between the three microsatellite clusters: W = ‘Western Cluster’, C = ‘Central Cluster’ and E = ‘Eastern Cluster’. The solid, black line separates mtDNA clades (Radomski ).…”

Section: Resultsmentioning

confidence: 99%

“…Genomic DNA was extracted using Qiagen DNeasy tissue kits following the manufacturer's protocol. We amplified 10 microsatellite loci, with tri‐pentanucleotide repeat motifs, developed for P. cinereus (Pc3, Pc7, Pc15–Pc17, Pc25, Pc28, Pc30, Pc34, Pc37; Cameron et al ) using PCR. Forward primers were modified with a 5′ florescent tag of 6‐FAM, NED, HEX, PET or ATTO 565 (NHS Ester), and were multiplexed in an arrangement of 3–4 loci.…”

Section: Methodsmentioning

confidence: 99%

“…We used STRUCTURE HARVESTER ver. 0.6.94 (Earl and vonHoldt ) to obtain ∆K using the Evanno method, which is based on the rate of change in the log probability of data between successive K‐values (Evanno et al , Janes et al ). To find optimal alignments from the 10 iterations for each cluster we used the program CLUMPP ver.…”

Section: Methodsmentioning

confidence: 99%

“…1.1 (Rosenberg ). As the Evanno method recovers the basal level of genetic structure, this procedure was replicated iteratively within clusters to detect substructure (Janes et al ). We also used a discriminant analysis of principal components (DAPC) to test for population structure using the R package adegenet (Jombart ).…”

Section: Methodsmentioning

confidence: 99%

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Do genetic structure and landscape heterogeneity impact color morph frequency in a polymorphic salamander?

et al. 2019

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Landscape heterogeneity plays an important role in population structure and divergence, particularly for species with limited vagility. Here, we used a landscape genetic approach to identify how landscape and environmental variables affect genetic structure and color morph frequency in a polymorphic salamander. The eastern red‐backed salamander, Plethodon cinereus, is widely distributed in northeastern North America and contains two common color morphs, striped and unstriped, that are divergent in ecology, behavior, and physiology. To quantify population structure, rates of gene flow, and genetic drift, we amplified 10 microsatellite loci from 648 individuals across 28 sampling localities. This study was conducted in northern Ohio, where populations of P. cinereus exhibit an unusually wide range of morph frequency variation. To test whether genetic distance was more correlated with morph frequency, elevation, canopy cover, waterways, ecological niche or geographic distance, we used resistance distance and least cost path analyses. We then examined whether landscape and environmental variables, genetic distance or geographic distance were correlated with variation in morph frequency. Tests for population structure revealed three genetic clusters across our sampling range, with one cluster monomorphic for the striped morph. Rates of gene flow and genetic drift were low to moderate across sites. Genetic distance was most correlated with ecological niche, elevation and a combination of landscape and environmental variables. In contrast, morph frequency variation was correlated with waterways and geographic distance. Thus, our results suggest that selection is also an important evolutionary force across our sites, and a balance between gene flow, genetic drift and selection interact to maintain the two color morphs.

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Fine‐scale habitat heterogeneity and vole runways influence seed dispersal in Plagiobothrys nothofulvus

Grasty

Thompson

Hendrickson

et al. 2020

American J of Botany

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Premise Seed dispersal allows plants to colonize new sites and contributes to gene flow among populations. Despite its fundamental importance to ecological and evolutionary processes, our understanding of seed dispersal is limited due to the difficulty of directly observing dispersal events. This is particularly true for the majority of plant species that are considered to have gravity as their primary dispersal mechanism. The potential for long‐distance movement of gravity‐dispersed seeds by secondary dispersal vectors is rarely evaluated. Methods We employ whole‐genome assays of maternally inherited cpDNA in Plagiobothrys nothofulvus to resolve patterns of genetic variation due to effective (realized) seed dispersal within a 16 hectare prairie that is characterized by a mosaic of habitat types. We evaluate the effects of microgeographic landscape features extracted from micro‐UAV aerial surveys on patterns of seed dispersal using landscape genetics methods. Results We found evidence of high resistance to seed‐mediated gene flow (effective dispersal) within patches of Plagiobothrys nothofulvus, and strong genetic structure over distances of less than 20 m. Geographic distance was a poor predictor of dispersal distance, while landscape features had stronger influences on patterns of dispersal (distance and direction of seed movement). Patterns of dispersal were best predicted by the combined distribution of flower patches, habitat type, and the network of vole runways, with the latter explaining the largest proportion of variation in the model. Conclusions Our results suggest that primary dispersal occurs mostly within microhabitats and infrequent secondary dispersal may occur over longer distances due to the activity of small mammals and other vertebrates.

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The relationship between least-cost and resistance distance

Cited by 41 publications

References 53 publications

Effects of contemporary agricultural land cover on Colorado potato beetle genetic differentiation in the Columbia Basin and Central Sands

Effects of contemporary agricultural land cover on Colorado potato beetle genetic differentiation in the Columbia Basin and Central Sands

Do genetic structure and landscape heterogeneity impact color morph frequency in a polymorphic salamander?

Fine‐scale habitat heterogeneity and vole runways influence seed dispersal in Plagiobothrys nothofulvus

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