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Bottom‐up processes drive reproductive success in an apex predator

One of the central goals of the field of population ecology is to identify the drivers of population dynamics, particularly in the context of predator–prey relationships. Understanding the relative role of top‐down versus bottom‐up drivers is of particular interest in understanding ecosystem dynamic...

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Autores principales: Schmidt, Joshua H., McIntyre, Carol L., Roland, Carl A., MacCluskie, Margaret C., Flamme, Melanie J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5792545/
https://www.ncbi.nlm.nih.gov/pubmed/29435257
http://dx.doi.org/10.1002/ece3.3800
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author Schmidt, Joshua H.
McIntyre, Carol L.
Roland, Carl A.
MacCluskie, Margaret C.
Flamme, Melanie J.
author_facet Schmidt, Joshua H.
McIntyre, Carol L.
Roland, Carl A.
MacCluskie, Margaret C.
Flamme, Melanie J.
author_sort Schmidt, Joshua H.
collection PubMed
description One of the central goals of the field of population ecology is to identify the drivers of population dynamics, particularly in the context of predator–prey relationships. Understanding the relative role of top‐down versus bottom‐up drivers is of particular interest in understanding ecosystem dynamics. Our goal was to explore predator–prey relationships in a boreal ecosystem in interior Alaska through the use of multispecies long‐term monitoring data. We used 29 years of field data and a dynamic multistate site occupancy modeling approach to explore the trophic relationships between an apex predator, the golden eagle, and cyclic populations of the two primary prey species available to eagles early in the breeding season, snowshoe hare and willow ptarmigan. We found that golden eagle reproductive success was reliant on prey numbers, but also responded prior to changes in the phase of the snowshoe hare population cycle and failed to respond to variation in hare cycle amplitude. There was no lagged response to ptarmigan populations, and ptarmigan populations recovered quickly from the low phase. Together, these results suggested that eagle reproduction is largely driven by bottom‐up processes, with little evidence of top‐down control of either ptarmigan or hare populations. Although the relationship between golden eagle reproductive success and prey abundance had been previously established, here we established prey populations are likely driving eagle dynamics through bottom‐up processes. The key to this insight was our focus on golden eagle reproductive parameters rather than overall abundance. Although our inference is limited to the golden eagle–hare–ptarmigan relationships we studied, our results suggest caution in interpreting predator–prey abundance patterns among other species as strong evidence for top‐down control.
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spelling pubmed-57925452018-02-12 Bottom‐up processes drive reproductive success in an apex predator Schmidt, Joshua H. McIntyre, Carol L. Roland, Carl A. MacCluskie, Margaret C. Flamme, Melanie J. Ecol Evol Original Research One of the central goals of the field of population ecology is to identify the drivers of population dynamics, particularly in the context of predator–prey relationships. Understanding the relative role of top‐down versus bottom‐up drivers is of particular interest in understanding ecosystem dynamics. Our goal was to explore predator–prey relationships in a boreal ecosystem in interior Alaska through the use of multispecies long‐term monitoring data. We used 29 years of field data and a dynamic multistate site occupancy modeling approach to explore the trophic relationships between an apex predator, the golden eagle, and cyclic populations of the two primary prey species available to eagles early in the breeding season, snowshoe hare and willow ptarmigan. We found that golden eagle reproductive success was reliant on prey numbers, but also responded prior to changes in the phase of the snowshoe hare population cycle and failed to respond to variation in hare cycle amplitude. There was no lagged response to ptarmigan populations, and ptarmigan populations recovered quickly from the low phase. Together, these results suggested that eagle reproduction is largely driven by bottom‐up processes, with little evidence of top‐down control of either ptarmigan or hare populations. Although the relationship between golden eagle reproductive success and prey abundance had been previously established, here we established prey populations are likely driving eagle dynamics through bottom‐up processes. The key to this insight was our focus on golden eagle reproductive parameters rather than overall abundance. Although our inference is limited to the golden eagle–hare–ptarmigan relationships we studied, our results suggest caution in interpreting predator–prey abundance patterns among other species as strong evidence for top‐down control. John Wiley and Sons Inc. 2018-01-11 /pmc/articles/PMC5792545/ /pubmed/29435257 http://dx.doi.org/10.1002/ece3.3800 Text en © 2018 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Schmidt, Joshua H.
McIntyre, Carol L.
Roland, Carl A.
MacCluskie, Margaret C.
Flamme, Melanie J.
Bottom‐up processes drive reproductive success in an apex predator
title Bottom‐up processes drive reproductive success in an apex predator
title_full Bottom‐up processes drive reproductive success in an apex predator
title_fullStr Bottom‐up processes drive reproductive success in an apex predator
title_full_unstemmed Bottom‐up processes drive reproductive success in an apex predator
title_short Bottom‐up processes drive reproductive success in an apex predator
title_sort bottom‐up processes drive reproductive success in an apex predator
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5792545/
https://www.ncbi.nlm.nih.gov/pubmed/29435257
http://dx.doi.org/10.1002/ece3.3800
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