Matrix quality and habitat configuration interactively determine functional connectivity in a widespread bush cricket at a small spatial scale

Lange, Rebecca; Diekötter, Tim; Schiffmann, Lisa A.; Wolters, Volkmar; Durka, Walter

doi:10.1007/s10980-011-9692-1

Cited by 13 publications

(7 citation statements)

References 53 publications

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“…This means that matrix resistance is more biologically meaningful to explain genetic differentiation in seedlings, at least for forest-based ecological processes. In fact, given the scale of our analyses, Euclidean distance may be less important than matrix resistance in explaining genetic diversity and differentiation (see Lange et al, 2012 for similar results).…”

Section: Genetic Differentiationmentioning

confidence: 74%

“…In addition, E. edulis' pollinators may be strongly affected by fragmentation and habitat isolation, which here are partially represented by matrix resistance. Matrix resistance has been pinpointed as an important factor affecting the mobility of individuals and also abundance, occurrence and genetic variability (Eycott et al, 2012;Lange et al, 2012). The change in forest cover may also change the abundance and richness of seed dispersers and pollinators (e.g., González-Varo et al, 2009;Martensen et al, 2012).…”

Section: Genetic Differentiationmentioning

confidence: 99%

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Contemporary and historic factors influence differently genetic differentiation and diversity in a tropical palm

et al. 2015

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Population genetics theory predicts loss in genetic variability because of drift and inbreeding in isolated plant populations; however, it has been argued that long-distance pollination and seed dispersal may be able to maintain gene flow, even in highly fragmented landscapes. We tested how historical effective population size, historical migration and contemporary landscape structure, such as forest cover, patch isolation and matrix resistance, affect genetic variability and differentiation of seedlings in a tropical palm (Euterpe edulis) in a human-modified rainforest. We sampled 16 sites within five landscapes in the Brazilian Atlantic forest and assessed genetic variability and differentiation using eight microsatellite loci. Using a model selection approach, none of the covariates explained the variation observed in inbreeding coefficients among populations. The variation in genetic diversity among sites was best explained by historical effective population size. Allelic richness was best explained by historical effective population size and matrix resistance, whereas genetic differentiation was explained by matrix resistance. Coalescence analysis revealed high historical migration between sites within landscapes and constant historical population sizes, showing that the genetic differentiation is most likely due to recent changes caused by habitat loss and fragmentation. Overall, recent landscape changes have a greater influence on among-population genetic variation than historical gene flow process. As immediate restoration actions in landscapes with low forest amount, the development of more permeable matrices to allow the movement of pollinators and seed dispersers may be an effective strategy to maintain microevolutionary processes.

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Section: Genetic Differentiationmentioning

confidence: 74%

Section: Genetic Differentiationmentioning

confidence: 99%

Contemporary and historic factors influence differently genetic differentiation and diversity in a tropical palm

et al. 2015

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“…This is particularly true for insect species that serve as pollinators, herbivores, predators and decomposers as well as food for many vertebrates (e.g. Lange et al, 2012). Furthermore, the decline in the numbers of pollinating insects is continuing and has significant environmental and economic consequences, mainly because of their great agronomic impact (e.g.…”

Section: Introductionmentioning

confidence: 99%

Assessing spatial population structure and heterogeneity in the dronefly

Francuski

Milankov

2015

Journal of Zoology

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In order to secure pollination services and improve conservation strategies, a better understanding of factors influencing population structure of pollinator species is vital. Here, we aimed to empirically evaluate various individual‐ and population‐based statistical methods for characterization of genetic structure of the widespread dronefly, Eristalis tenax. Thirty‐five European populations, comprising 888 individuals, were genotyped at five polymorphic allozyme loci. Three Bayesian genotypic clustering approaches (STRUCTURE, BAPS and Geneland), pairwise FST estimates, analyses of molecular variance (AMOVA), principle component analysis (PCA) and Mantel tests were applied in a comparative way in attempt to reveal the patterns of gene flow that occurs at various spatial scales in E. tenax. STRUCTURE analysis and PCA results provided no evidence of conspecific differentiation. In contrast, BAPS and Geneland clustering solutions did acknowledge low but significant proportion of among‐populations genetic variation revealed by AMOVA. Similarly, pairwise FST estimates partially argue against genetic homogeneity across Europe. The lack of correlation between genetic distance and both latitude and longitude variation suggests that the flies disperse in multiple directions. Therefore, our results indicate that continued long‐range dispersal tend to homogenize populations over time, resulting in little population structure in E. tenax across the European landmass. On the other hand, significant differentiations between geographically proximate populations indicate that dispersal potential may not be realized and that gene flow patterns in E. tenax might be geographically complex. Using information from our genetic approaches will be useful for identifying patterns of migration and population connectivity across continent, which is an important issue for conservation efforts. Since E. tenax is an important pollinator, our results contribute to understanding the potential extent to which this taxon can facilitate gene flow among plant populations across natural and semi‐natural habitats, agroecosystems and urban environments. Dronefly‐mediated gene flow in plants is likely to occur over large distances and plant–dronefly conservation will require large‐scale action.

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“…The structure and composition of a landscape influence the way species move between different habitat patches (Driscoll et al ). For example, structurally simple landscapes may allow for the free movement of some insect species, whereas other species may require patchy or heterogeneous landscapes to improve connectivity (Knop et al ; Lange et al ). A further consideration is the composition of habitat, as this can affect the mix of resources available to different species (Moir et al , ; Gibb & Cunningham ; Barton et al ).…”

Section: Introductionmentioning

confidence: 99%

Does wing morphology affect recolonization of restored farmland by ground‐dwelling beetles?

Gibb

Retter

Cunningham

et al. 2016

Restoration Ecology

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Revegetation of previously cleared land is widely used to increase habitat area and connectivity of remnant vegetation for biodiversity conservation. Whether new habitat attracts or supports fauna depends on the dispersal traits of those fauna as well as the structure and composition of the surrounding landscape. Here, we examined wing morphology as a key dispersal trait for beetles in a revegetated landscape and asked, first, how it was related to phylogeny (family), trophic position, and body size. Second, we asked if wing morphology of recolonizing (or persisting) beetles varied with habitat characteristics at multiple scales, from microhabitat to landscape context. Third, we examined how common winged and wingless species responded to habitat at multiple scales. We measured the wing morphology of ground‐dwelling beetles from a restoration chronosequence, including paddocks, “young” revegetation (8–11 years old), “old” revegetation (14–19 years old), and fenced remnant vegetation. We found that body size and family membership were significant predictors of winglessness, with wingless species of carabids and curculionids being larger than their winged counterparts. We found no difference in the number of sites occupied by winged and wingless species, and no relationship between the wing morphology traits represented in different locations and habitat characteristics or landscape context. Furthermore, the most abundant species of both winged and wingless ground‐dwelling beetles had relatively little affinity to any habitat successional stage. Thus, despite intrinsic differences in wing morphology among species of ground‐dwelling beetle, we found no evidence that flight‐related dispersal limitations influenced recolonization (or persistence) in this landscape.

show abstract

Matrix quality and habitat configuration interactively determine functional connectivity in a widespread bush cricket at a small spatial scale

Cited by 13 publications

References 53 publications

Contemporary and historic factors influence differently genetic differentiation and diversity in a tropical palm

Contemporary and historic factors influence differently genetic differentiation and diversity in a tropical palm

Assessing spatial population structure and heterogeneity in the dronefly

Does wing morphology affect recolonization of restored farmland by ground‐dwelling beetles?

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