Spatial connectivity moderates the effect of predatory fish on salamander metapopulation dynamics

Cosentino, Bradley J.; Schooley, Robert L.; Phillips, Christopher A.

doi:10.1890/es11-00111.1

Cited by 34 publications

(39 citation statements)

References 62 publications

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“…Data on wetland occupancy from 2007 to 2009 allowed us to distinguish newly colonized and established populations [33]. Newly colonized populations were defined as sites at which tissues were collected in the year in which a site was colonized by A. tigrinum (i.e.…”

Section: (C) Standard Genetic Analysesmentioning

confidence: 99%

“…We calculated C i by setting a equal to 0.0022 [33], and p j depended on wetland occupancy for A. tigrinum between 2007 and 2009. We set p j equal to 0 for source wetlands in which A. tigrinum was undetected in all 3 years, 0.33 for source wetlands occupied in 1 year, 0.67 for source wetlands occupied in 2 years, and 1 for source wetlands occupied in all 3 years.…”

Section: (C) Standard Genetic Analysesmentioning

confidence: 99%

“…Fish presence represented whether or not a site was occupied by predatory fish at least once between 2007 and 2009. We documented predatory fish in 10 of the 41 sites over the 3-year period [33]. The most common predatory fish encountered were yellow bullhead (Ameiurus natalis), green sunfish (Lepomis cyanellus) and bluegill (Leopomis macrochirus).…”

Section: (C) Standard Genetic Analysesmentioning

confidence: 99%

“…Next, we tested whether genetic divergence and diversity were related to ecological factors known to affect metapopulation dynamics. Colonization probability is related negatively to fish presence and positively to wetland area and connectivity (the inverse of isolation), whereas extinction probability is related positively to fish presence and negatively to connectivity [33]. Although wetland hydroperiod was not a strong driver of turnover during our study because of above-average precipitation [34], short hydroperiod can lead to low survival and low reproductive success in dry years [32].…”

Section: Introductionmentioning

confidence: 98%

“…A 3-year study of metapopulation dynamics indicated that extinction and colonization events are common in this system [33]. To test whether founder effects associated with turnover influenced metapopulation genetic structure, we first evaluated whether F ST differed between newly colonized and established populations.…”

Section: Introductionmentioning

confidence: 99%

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Linking extinction–colonization dynamics to genetic structure in a salamander metapopulation

et al. 2011

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Theory predicts that founder effects have a primary role in determining metapopulation genetic structure. However, ecological factors that affect extinction -colonization dynamics may also create spatial variation in the strength of genetic drift and migration. We tested the hypothesis that ecological factors underlying extinction -colonization dynamics influenced the genetic structure of a tiger salamander (Ambystoma tigrinum) metapopulation. We used empirical data on metapopulation dynamics to make a priori predictions about the effects of population age and ecological factors on genetic diversity and divergence among 41 populations. Metapopulation dynamics of A. tigrinum depended on wetland area, connectivity and presence of predatory fish. We found that newly colonized populations were more genetically differentiated than established populations, suggesting that founder effects influenced genetic structure. However, ecological drivers of metapopulation dynamics were more important than age in predicting genetic structure. Consistent with demographic predictions from metapopulation theory, genetic diversity and divergence depended on wetland area and connectivity. Divergence was greatest in small, isolated wetlands where genetic diversity was low. Our results show that ecological factors underlying metapopulation dynamics can be key determinants of spatial genetic structure, and that habitat area and isolation may mediate the contributions of drift and migration to divergence and evolution in local populations.

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Section: (C) Standard Genetic Analysesmentioning

confidence: 99%

Section: (C) Standard Genetic Analysesmentioning

confidence: 99%

Section: (C) Standard Genetic Analysesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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Linking extinction–colonization dynamics to genetic structure in a salamander metapopulation

et al. 2011

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Managing farm ponds as breeding sites for amphibians: key trade‐offs in agricultural function and habitat conservation

Swartz

Miller

2019

Ecological Applications

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Tel 1-202-833-8773, Fax 1-202-833-8775, Email esahq@esa.org COVER PHOTO: A gray treefrog (Hyla chrysoscelis/versicolor) resting on a yellow pond-lily (Nuphar lutea) in a farm pond built in the 1960s. Swartz and Miller used occupancy modeling and a chronosequence of ponds to link amphibian breeding activity with patterns of habitat succession. Older ponds like this one in Ringgold County, Iowa, USA, can provide habitat for a range of amphibians when allowed to persist even aft er their agricultural function declines. This photo illustrates the article "Managing farm ponds as breeding sites for amphibians: key trade-off s in agricultural function and habitat conservation" by Timothy M. Swartz and James R. Miller, published in Ecological Applications.

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Increasing connectivity between metapopulation ecology and landscape ecology

Howell

Muths

Hossack

et al. 2018

Ecology

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Metapopulation ecology and landscape ecology aim to understand how spatial structure influences ecological processes, yet these disciplines address the problem using fundamentally different modeling approaches. Metapopulation models describe how the spatial distribution of patches affects colonization and extinction, but often do not account for the heterogeneity in the landscape between patches. Models in landscape ecology use detailed descriptions of landscape structure, but often without considering colonization and extinction dynamics. We present a novel spatially explicit modeling framework for narrowing the divide between these disciplines to advance understanding of the effects of landscape structure on metapopulation dynamics. Unlike previous efforts, this framework allows for statistical inference on landscape resistance to colonization using empirical data. We demonstrate the approach using 11 yr of data on a threatened amphibian in a desert ecosystem. Occupancy data for Lithobates chiricahuensis (Chiricahua leopard frog) were collected on the Buenos Aires National Wildlife Refuge (BANWR), Arizona, USA from 2007 to 2017 following a reintroduction in 2003. Results indicated that colonization dynamics were influenced by both patch characteristics and landscape structure. Landscape resistance increased with increasing elevation and distance to the nearest streambed. Colonization rate was also influenced by patch quality, with semi-permanent and permanent ponds contributing substantially more to the colonization of neighboring ponds relative to intermittent ponds. Ponds that only hold water intermittently also had the highest extinction rate. Our modeling framework can be widely applied to understand metapopulation dynamics in complex landscapes, particularly in systems in which the environment between habitat patches influences the colonization process.

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Spatial connectivity moderates the effect of predatory fish on salamander metapopulation dynamics

Cited by 34 publications

References 62 publications

Linking extinction–colonization dynamics to genetic structure in a salamander metapopulation

Linking extinction–colonization dynamics to genetic structure in a salamander metapopulation

Managing farm ponds as breeding sites for amphibians: key trade‐offs in agricultural function and habitat conservation

Increasing connectivity between metapopulation ecology and landscape ecology

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