Data from: Life-history theory provides a framework for detecting resource limitation: a test of the Nutritional Buffer Hypothesis

For ungulates and other long-lived species, life-history theory predicts that nutritional reserves are allocated to reproduction in a state-dependent manner because survival is highly conserved. Further, as per-capita food abundance and nutritional reserves decline (i.e., density-dependence intensif...

Full description

Bibliographic Details
Main Authors: Jesmer, Brett, Kauffman, Matthew, Courtemanch, Alyson, Kilpatrick, Steve, Thomas, Timothy, Yost, Jeff, Monteith, Kevin, Goheen, Jacob
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2020
Subjects:
Online Access:https://doi.org/10.5061/dryad.z8w9ghx9s
id ftzenodo:oai:zenodo.org:4272112
record_format openpolar
spelling ftzenodo:oai:zenodo.org:4272112 2024-09-15T17:36:13+00:00 Data from: Life-history theory provides a framework for detecting resource limitation: a test of the Nutritional Buffer Hypothesis Jesmer, Brett Kauffman, Matthew Courtemanch, Alyson Kilpatrick, Steve Thomas, Timothy Yost, Jeff Monteith, Kevin Goheen, Jacob 2020-11-13 https://doi.org/10.5061/dryad.z8w9ghx9s unknown Zenodo https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.z8w9ghx9s oai:zenodo.org:4272112 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode Alces alces Keigley live-dead index kidney fat index nitrogen limitation carrying capacity plant phenology Pregnancy life history theory Nutritional Buffer Hypothesis info:eu-repo/semantics/other 2020 ftzenodo https://doi.org/10.5061/dryad.z8w9ghx9s 2024-07-25T08:44:38Z For ungulates and other long-lived species, life-history theory predicts that nutritional reserves are allocated to reproduction in a state-dependent manner because survival is highly conserved. Further, as per-capita food abundance and nutritional reserves decline (i.e., density-dependence intensifies), reproduction and recruitment become increasingly sensitive to weather. Thus, the degree to which weather influences vital rates should be associated with proximity to nutritional carrying capacity—a notion that we refer to as the Nutritional Buffer Hypothesis. We tested the Nutritional Buffer Hypothesis using six moose ( Alces alces ) populations that varied in calf recruitment (33-69 calves/ 100 cows). We predicted that populations with high calf recruitment were nutritionally buffered against the effects of unfavorable weather, and thus were below nutritional carrying capacity. We applied a suite of tools to quantify habitat and nutritional condition of each population and found that increased browse condition, forage quality, and body fat were associated with increased pregnancy and calf recruitment, thereby providing multiple lines of evidence that declines in calf recruitment were underpinned by resource limitation. From 2001 to 2015, recruitment was more sensitive to interannual variation in weather (e.g., winter severity, drought) and plant phenology (e.g., duration of spring) for populations with reduced browse condition, forage quality, and body fat, suggesting these populations lacked the nutritional reserves necessary to buffer demographic performance against the effects of unfavorable weather. Further, average within-population calf recruitment was determined by regional climatic variation, suggesting that the pattern of reduced recruitment near the southern range boundary of moose stems from an interaction between climate and resource limitation. When coupled with information on habitat, nutrition, weather, and climate, life-history theory provides a framework to estimate nutritional limitation, ... Other/Unknown Material Alces alces Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic Alces alces
Keigley live-dead index
kidney fat index
nitrogen limitation
carrying capacity
plant phenology
Pregnancy
life history theory
Nutritional Buffer Hypothesis
spellingShingle Alces alces
Keigley live-dead index
kidney fat index
nitrogen limitation
carrying capacity
plant phenology
Pregnancy
life history theory
Nutritional Buffer Hypothesis
Jesmer, Brett
Kauffman, Matthew
Courtemanch, Alyson
Kilpatrick, Steve
Thomas, Timothy
Yost, Jeff
Monteith, Kevin
Goheen, Jacob
Data from: Life-history theory provides a framework for detecting resource limitation: a test of the Nutritional Buffer Hypothesis
topic_facet Alces alces
Keigley live-dead index
kidney fat index
nitrogen limitation
carrying capacity
plant phenology
Pregnancy
life history theory
Nutritional Buffer Hypothesis
description For ungulates and other long-lived species, life-history theory predicts that nutritional reserves are allocated to reproduction in a state-dependent manner because survival is highly conserved. Further, as per-capita food abundance and nutritional reserves decline (i.e., density-dependence intensifies), reproduction and recruitment become increasingly sensitive to weather. Thus, the degree to which weather influences vital rates should be associated with proximity to nutritional carrying capacity—a notion that we refer to as the Nutritional Buffer Hypothesis. We tested the Nutritional Buffer Hypothesis using six moose ( Alces alces ) populations that varied in calf recruitment (33-69 calves/ 100 cows). We predicted that populations with high calf recruitment were nutritionally buffered against the effects of unfavorable weather, and thus were below nutritional carrying capacity. We applied a suite of tools to quantify habitat and nutritional condition of each population and found that increased browse condition, forage quality, and body fat were associated with increased pregnancy and calf recruitment, thereby providing multiple lines of evidence that declines in calf recruitment were underpinned by resource limitation. From 2001 to 2015, recruitment was more sensitive to interannual variation in weather (e.g., winter severity, drought) and plant phenology (e.g., duration of spring) for populations with reduced browse condition, forage quality, and body fat, suggesting these populations lacked the nutritional reserves necessary to buffer demographic performance against the effects of unfavorable weather. Further, average within-population calf recruitment was determined by regional climatic variation, suggesting that the pattern of reduced recruitment near the southern range boundary of moose stems from an interaction between climate and resource limitation. When coupled with information on habitat, nutrition, weather, and climate, life-history theory provides a framework to estimate nutritional limitation, ...
format Other/Unknown Material
author Jesmer, Brett
Kauffman, Matthew
Courtemanch, Alyson
Kilpatrick, Steve
Thomas, Timothy
Yost, Jeff
Monteith, Kevin
Goheen, Jacob
author_facet Jesmer, Brett
Kauffman, Matthew
Courtemanch, Alyson
Kilpatrick, Steve
Thomas, Timothy
Yost, Jeff
Monteith, Kevin
Goheen, Jacob
author_sort Jesmer, Brett
title Data from: Life-history theory provides a framework for detecting resource limitation: a test of the Nutritional Buffer Hypothesis
title_short Data from: Life-history theory provides a framework for detecting resource limitation: a test of the Nutritional Buffer Hypothesis
title_full Data from: Life-history theory provides a framework for detecting resource limitation: a test of the Nutritional Buffer Hypothesis
title_fullStr Data from: Life-history theory provides a framework for detecting resource limitation: a test of the Nutritional Buffer Hypothesis
title_full_unstemmed Data from: Life-history theory provides a framework for detecting resource limitation: a test of the Nutritional Buffer Hypothesis
title_sort data from: life-history theory provides a framework for detecting resource limitation: a test of the nutritional buffer hypothesis
publisher Zenodo
publishDate 2020
url https://doi.org/10.5061/dryad.z8w9ghx9s
genre Alces alces
genre_facet Alces alces
op_relation https://zenodo.org/communities/dryad
https://doi.org/10.5061/dryad.z8w9ghx9s
oai:zenodo.org:4272112
op_rights info:eu-repo/semantics/openAccess
Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
op_doi https://doi.org/10.5061/dryad.z8w9ghx9s
_version_ 1810487977456959488