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White HB, White JF, Moore MC. Dragonfly Biodiversity at Abandoned Work Sites: Dredge-spoil Ponds of the Chesapeake and Delaware Canal, New Castle County, Delaware. Northeast Nat (Steuben) 2022. [DOI: 10.1656/045.029.0209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Affiliation(s)
- Harold B. White
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE 19716 (retired)
| | | | - Michael C. Moore
- Department of Biological Sciences, University of Delaware, Newark, DE 19716 (retired)
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Siepielski AM, Hasik AZ, Ping T, Serrano M, Strayhorn K, Tye SP. Predators weaken prey intraspecific competition through phenotypic selection. Ecol Lett 2020; 23:951-961. [PMID: 32227439 DOI: 10.1111/ele.13491] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 02/12/2020] [Accepted: 02/19/2020] [Indexed: 12/01/2022]
Abstract
Predators have a key role shaping competitor dynamics in food webs. Perhaps the most obvious way this occurs is when predators reduce competitor densities. However, consumption could also generate phenotypic selection on prey that determines the strength of competition, thus coupling consumptive and trait-based effects of predators. In a mesocosm experiment simulating fish predation on damselflies, we found that selection against high damselfly activity rates - a phenotype mediating predation and competition - weakened the strength of density dependence in damselfly growth rates. A field experiment corroborated this finding and showed that increasing damselfly densities in lakes with high fish densities had limited effects on damselfly growth rates but generated a precipitous growth rate decline where fish densities were lower - a pattern expected because of spatial variation in selection imposed by predation. These results suggest that accounting for both consumption and selection is necessary to determine how predators regulate prey competitive interactions.
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Affiliation(s)
- Adam M Siepielski
- Department of Biological Sciences, University of Arkansas, Fayetteville, AR, 72701, USA
| | - Adam Z Hasik
- Department of Biological Sciences, University of Arkansas, Fayetteville, AR, 72701, USA
| | - Taylor Ping
- Department of Biological Sciences, University of Arkansas, Fayetteville, AR, 72701, USA
| | - Mabel Serrano
- Department of Biological Sciences, University of Arkansas, Fayetteville, AR, 72701, USA
| | - Koby Strayhorn
- Department of Biological Sciences, University of Arkansas, Fayetteville, AR, 72701, USA
| | - Simon P Tye
- Department of Biological Sciences, University of Arkansas, Fayetteville, AR, 72701, USA
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Moody KN, Wren JLK, Kobayashi DR, Blum MJ, Ptacek MB, Blob RW, Toonen RJ, Schoenfuss HL, Childress MJ. Evidence of local adaptation in a waterfall-climbing Hawaiian goby fish derived from coupled biophysical modeling of larval dispersal and post-settlement selection. BMC Evol Biol 2019; 19:88. [PMID: 30975077 PMCID: PMC6458715 DOI: 10.1186/s12862-019-1413-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Accepted: 03/26/2019] [Indexed: 12/24/2022] Open
Abstract
Background Local adaptation of marine and diadromous species is thought to be a product of larval dispersal, settlement mortality, and differential reproductive success, particularly in heterogeneous post-settlement habitats. We evaluated this premise with an oceanographic passive larval dispersal model coupled with individual-based models of post-settlement selection and reproduction to infer conditions that underlie local adaptation in Sicyopterus stimpsoni, an amphidromous Hawaiian goby known for its ability to climb waterfalls. Results Our model results demonstrated that larval dispersal is spatio-temporally asymmetric, with more larvae dispersed from the southeast (the Big Island) to northwest (Kaua‘i) along the archipelago, reflecting prevailing conditions such as El Niño/La Niña oscillations. Yet connectivity is nonetheless sufficient to result in homogenous populations across the archipelago. We also found, however, that ontogenetic shifts in habitat can give rise to adaptive morphological divergence when the strength of predation-driven post-settlement selection crosses a critical threshold. Notably, our simulations showed that larval dispersal is not the only factor determining the likelihood of morphological divergence. We found adaptive potential and evolutionary trajectories of S. stimpsoni were greater on islands with stronger environmental gradients and greater variance in larval cohort morphology due to fluctuating immigration. Conclusions Contrary to expectation, these findings indicate that immigration can act in concert with selection to favor local adaptation and divergence in species with marine larval dispersal. Further development of model simulations, parameterized to reflect additional empirical estimates of abiotic and biotic factors, will help advance our understanding of the proximate and ultimate mechanisms driving adaptive evolution, population resilience, and speciation in marine-associated species. Electronic supplementary material The online version of this article (10.1186/s12862-019-1413-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Kristine N Moody
- Department of Ecology and Evolutionary Biology, University of Tennessee Knoxville, Knoxville, TN, 37996, USA. .,The ByWater Institute, Tulane University, New Orleans, LA, 70118, USA. .,Department of Biological Sciences, Clemson University, Clemson, SC, 29634, USA.
| | - Johanna L K Wren
- Department of Oceanography, School of Ocean and Earth Science and Technology (SOEST), University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA.,Joint Institute of Marine and Atmospheric Research, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA.,Pacific Islands Fisheries Science Center, NOAA/NMFS, NOAA IRC, Honolulu, HI, 96818, USA
| | - Donald R Kobayashi
- Pacific Islands Fisheries Science Center, NOAA/NMFS, NOAA IRC, Honolulu, HI, 96818, USA
| | - Michael J Blum
- Department of Ecology and Evolutionary Biology, University of Tennessee Knoxville, Knoxville, TN, 37996, USA.,The ByWater Institute, Tulane University, New Orleans, LA, 70118, USA
| | - Margaret B Ptacek
- Department of Biological Sciences, Clemson University, Clemson, SC, 29634, USA
| | - Richard W Blob
- Department of Biological Sciences, Clemson University, Clemson, SC, 29634, USA
| | - Robert J Toonen
- Hawai'i Institute of Marine Biology, University of Hawai'i at Mānoa, Kāne'ohe, HI, 96744, USA
| | - Heiko L Schoenfuss
- Aquatic Toxicology Laboratory, St. Cloud State University, St Cloud, MN, 56301, USA
| | - Michael J Childress
- Department of Biological Sciences, Clemson University, Clemson, SC, 29634, USA
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Ousterhout BH, Graham SR, Hasik AZ, Serrano M, Siepielski AM. Past selection impacts the strength of an aquatic trophic cascade. Funct Ecol 2018. [DOI: 10.1111/1365-2435.13102] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
| | - Savannah R. Graham
- Department of Biological Sciences University of Arkansas Fayetteville AR USA
| | - Adam Z. Hasik
- Department of Biological Sciences University of Arkansas Fayetteville AR USA
| | - Mabel Serrano
- Department of Biological Sciences University of Arkansas Fayetteville AR USA
| | - Adam M. Siepielski
- Department of Biological Sciences University of Arkansas Fayetteville AR USA
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Schmitz O. Predator and prey functional traits: understanding the adaptive machinery driving predator-prey interactions. F1000Res 2017; 6:1767. [PMID: 29043073 PMCID: PMC5621104 DOI: 10.12688/f1000research.11813.1] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/28/2017] [Indexed: 12/16/2022] Open
Abstract
Predator–prey relationships are a central component of community dynamics. Classic approaches have tried to understand and predict these relationships in terms of consumptive interactions between predator and prey species, but characterizing the interaction this way is insufficient to predict the complexity and context dependency inherent in predator–prey relationships. Recent approaches have begun to explore predator–prey relationships in terms of an evolutionary-ecological game in which predator and prey adapt to each other through reciprocal interactions involving context-dependent expression of functional traits that influence their biomechanics. Functional traits are defined as any morphological, behavioral, or physiological trait of an organism associated with a biotic interaction. Such traits include predator and prey body size, predator and prey personality, predator hunting mode, prey mobility, prey anti-predator behavior, and prey physiological stress. Here, I discuss recent advances in this functional trait approach. Evidence shows that the nature and strength of many interactions are dependent upon the relative magnitude of predator and prey functional traits. Moreover, trait responses can be triggered by non-consumptive predator–prey interactions elicited by responses of prey to risk of predation. These interactions in turn can have dynamic feedbacks that can change the context of the predator–prey interaction, causing predator and prey to adapt their traits—through phenotypically plastic or rapid evolutionary responses—and the nature of their interaction. Research shows that examining predator–prey interactions through the lens of an adaptive evolutionary-ecological game offers a foundation to explain variety in the nature and strength of predator–prey interactions observed in different ecological contexts.
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Affiliation(s)
- Oswald Schmitz
- School of Forestry and Environmental Studies, Yale University, 370 Prospect Street, New Haven, CT, 06515, USA
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