DataSheet_1_Multi-event modeling of true reproductive states of individual female right whales provides new insights into their decline.pdf
Abundance and population trends of Critically Endangered North Atlantic right whales (Eubalaena glacialis, NARW) have been estimated using mark-recapture analyses where an individual’s state is based upon set delineations of age, using historical estimates of age at first reproduction. Here we assig...
Main Authors: | , , , |
---|---|
Format: | Dataset |
Language: | unknown |
Published: |
2022
|
Subjects: | |
Online Access: | https://doi.org/10.3389/fmars.2022.994481.s001 https://figshare.com/articles/dataset/DataSheet_1_Multi-event_modeling_of_true_reproductive_states_of_individual_female_right_whales_provides_new_insights_into_their_decline_pdf/21285219 |
id |
ftfrontimediafig:oai:figshare.com:article/21285219 |
---|---|
record_format |
openpolar |
spelling |
ftfrontimediafig:oai:figshare.com:article/21285219 2023-05-15T16:08:16+02:00 DataSheet_1_Multi-event modeling of true reproductive states of individual female right whales provides new insights into their decline.pdf Joshua Reed Leslie New Peter Corkeron Robert Harcourt 2022-10-06T06:27:56Z https://doi.org/10.3389/fmars.2022.994481.s001 https://figshare.com/articles/dataset/DataSheet_1_Multi-event_modeling_of_true_reproductive_states_of_individual_female_right_whales_provides_new_insights_into_their_decline_pdf/21285219 unknown doi:10.3389/fmars.2022.994481.s001 https://figshare.com/articles/dataset/DataSheet_1_Multi-event_modeling_of_true_reproductive_states_of_individual_female_right_whales_provides_new_insights_into_their_decline_pdf/21285219 CC BY 4.0 CC-BY Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering Bayesian mark-recapture-recovery recruitment endangered species Eubalaena glacialis Dataset 2022 ftfrontimediafig https://doi.org/10.3389/fmars.2022.994481.s001 2022-10-12T23:11:22Z Abundance and population trends of Critically Endangered North Atlantic right whales (Eubalaena glacialis, NARW) have been estimated using mark-recapture analyses where an individual’s state is based upon set delineations of age, using historical estimates of age at first reproduction. Here we assigned individual females to states based upon their reproductive experience, rather than age. We developed a Bayesian mark-recapture-recovery model to investigate how survival, recapture, site-fidelity and dead-recovery probabilities vary for female NARW in different states, using data collected from 1977-2018. States were assigned as calves for individuals in their first year; pre-breeder for individuals greater than one year of age who had yet to produce a calf, or breeder if an individual had reproduced. A decline in abundance of female NARW was seen starting in 2014, with 185 females declining yearly to 142 by 2018. The largest decline was seen in breeding females, with 72 estimated to be alive at the beginning of 2018, while female pre-breeder abundance plateaued at around 70 between 2011- 2018. Females born from 2000 onwards had an average 4% (95% CI:0.03-0.06) chance of transitioning from pre-breeder to breeder, compared to 8% (95%CI:0.06-0.1) for females born prior. This reduction in transition rate from non-breeder to breeder for the current cohort resulted in breeding females declining to 51% of the female population by 2018. We show that a collapse in fecundity of breeding females, and the failure of pre-breeders to start breeding, is an important factor in understanding the current decline in abundance of the NARW. Dataset Eubalaena glacialis North Atlantic Frontiers: Figshare |
institution |
Open Polar |
collection |
Frontiers: Figshare |
op_collection_id |
ftfrontimediafig |
language |
unknown |
topic |
Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering Bayesian mark-recapture-recovery recruitment endangered species Eubalaena glacialis |
spellingShingle |
Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering Bayesian mark-recapture-recovery recruitment endangered species Eubalaena glacialis Joshua Reed Leslie New Peter Corkeron Robert Harcourt DataSheet_1_Multi-event modeling of true reproductive states of individual female right whales provides new insights into their decline.pdf |
topic_facet |
Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering Bayesian mark-recapture-recovery recruitment endangered species Eubalaena glacialis |
description |
Abundance and population trends of Critically Endangered North Atlantic right whales (Eubalaena glacialis, NARW) have been estimated using mark-recapture analyses where an individual’s state is based upon set delineations of age, using historical estimates of age at first reproduction. Here we assigned individual females to states based upon their reproductive experience, rather than age. We developed a Bayesian mark-recapture-recovery model to investigate how survival, recapture, site-fidelity and dead-recovery probabilities vary for female NARW in different states, using data collected from 1977-2018. States were assigned as calves for individuals in their first year; pre-breeder for individuals greater than one year of age who had yet to produce a calf, or breeder if an individual had reproduced. A decline in abundance of female NARW was seen starting in 2014, with 185 females declining yearly to 142 by 2018. The largest decline was seen in breeding females, with 72 estimated to be alive at the beginning of 2018, while female pre-breeder abundance plateaued at around 70 between 2011- 2018. Females born from 2000 onwards had an average 4% (95% CI:0.03-0.06) chance of transitioning from pre-breeder to breeder, compared to 8% (95%CI:0.06-0.1) for females born prior. This reduction in transition rate from non-breeder to breeder for the current cohort resulted in breeding females declining to 51% of the female population by 2018. We show that a collapse in fecundity of breeding females, and the failure of pre-breeders to start breeding, is an important factor in understanding the current decline in abundance of the NARW. |
format |
Dataset |
author |
Joshua Reed Leslie New Peter Corkeron Robert Harcourt |
author_facet |
Joshua Reed Leslie New Peter Corkeron Robert Harcourt |
author_sort |
Joshua Reed |
title |
DataSheet_1_Multi-event modeling of true reproductive states of individual female right whales provides new insights into their decline.pdf |
title_short |
DataSheet_1_Multi-event modeling of true reproductive states of individual female right whales provides new insights into their decline.pdf |
title_full |
DataSheet_1_Multi-event modeling of true reproductive states of individual female right whales provides new insights into their decline.pdf |
title_fullStr |
DataSheet_1_Multi-event modeling of true reproductive states of individual female right whales provides new insights into their decline.pdf |
title_full_unstemmed |
DataSheet_1_Multi-event modeling of true reproductive states of individual female right whales provides new insights into their decline.pdf |
title_sort |
datasheet_1_multi-event modeling of true reproductive states of individual female right whales provides new insights into their decline.pdf |
publishDate |
2022 |
url |
https://doi.org/10.3389/fmars.2022.994481.s001 https://figshare.com/articles/dataset/DataSheet_1_Multi-event_modeling_of_true_reproductive_states_of_individual_female_right_whales_provides_new_insights_into_their_decline_pdf/21285219 |
genre |
Eubalaena glacialis North Atlantic |
genre_facet |
Eubalaena glacialis North Atlantic |
op_relation |
doi:10.3389/fmars.2022.994481.s001 https://figshare.com/articles/dataset/DataSheet_1_Multi-event_modeling_of_true_reproductive_states_of_individual_female_right_whales_provides_new_insights_into_their_decline_pdf/21285219 |
op_rights |
CC BY 4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3389/fmars.2022.994481.s001 |
_version_ |
1766404335612198912 |