Assessing change in the occurrence of rare species using the binomial distribution
The demand for comprehensive biodiversity assessments is increasing through the implementation of the ecosystem-based approach to management (EBM) of marine resources. Regional sea conventions such as the Oslo-Paris Commission (OSPAR) strive to implement EBM by developing an extensive status assessm...
Published in: | Ecological Indicators |
---|---|
Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Elsevier
2023
|
Subjects: | |
Online Access: | https://doi.org/10.1016/j.ecolind.2023.111084 https://www.openagrar.de/receive/openagrar_mods_00091471 https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00055954/dn067150.pdf |
id |
ftopenagrar:oai:www.openagrar.de:openagrar_mods_00091471 |
---|---|
record_format |
openpolar |
spelling |
ftopenagrar:oai:www.openagrar.de:openagrar_mods_00091471 2024-09-15T18:24:16+00:00 Assessing change in the occurrence of rare species using the binomial distribution Nikolaus Probst, W. Lynam, Christopher P. Bluemel, Joanna K. Clarke, Maurice 2023 https://doi.org/10.1016/j.ecolind.2023.111084 https://www.openagrar.de/receive/openagrar_mods_00091471 https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00055954/dn067150.pdf eng eng Elsevier Ecological Indicators : integrating monitoring, assessment and management -- 1470-160X -- 2036774-0 https://doi.org/10.1016/j.ecolind.2023.111084 https://www.openagrar.de/receive/openagrar_mods_00091471 https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00055954/dn067150.pdf https://creativecommons.org/licenses/by-nc-nd/4.0/ public info:eu-repo/semantics/openAccess article Text ddc:570 ddc:310 Assessment Binomial distribution North Atlantic OSPAR Population status Sensitive fish species article Text doc-type:article 2023 ftopenagrar https://doi.org/10.1016/j.ecolind.2023.111084 2024-07-08T23:56:24Z The demand for comprehensive biodiversity assessments is increasing through the implementation of the ecosystem-based approach to management (EBM) of marine resources. Regional sea conventions such as the Oslo-Paris Commission (OSPAR) strive to implement EBM by developing an extensive status assessment program for the marine environment. Demersal fish communities are one ecosystem feature assessed by OSPAR through several ecological indicators. One of these indicators assesses the recovery in the population abundance of sensitive fish species, which was initially developed to report on the status of the sensitive fish community as a whole. However, for national reporting obligations, contracting parties of OSPAR (particularly for EU member states reporting to the Marine Strategy Framework Directive) prefer to have assessments for individual species. The previous indicator assessment relied on a suite of demersal fish species, which were caught frequently in scientific groundfish surveys, but did not provide assessment results for rare species caught in low frequencies. This study introduces a new assessment approach, the Binomial Occurrence Assessment (BOA), for the FC-1 indicator now renamed the “Recovery of sensitive fish species”, by applying the binomial distribution to relative occurrence data from scientific fisheries surveys. BOA uses occurrences in a reference period to determine boundaries for the expected occurrences in the recent (six year) assessment period of each survey. Significant changes in occurrence between the reference and assessment period, i.e. declines or recoveries, can then be detected when the observed occurrences in the assessment period fall outside of these boundaries. Methods to integrate the assessment results across multiple surveys are explored and compared since data on occurrences for fish species are available from more than one fisheries survey in each marine region considered by OSPAR. A case study on the sensitive demersal fish species in the North Sea exemplifies the ... Article in Journal/Newspaper North Atlantic OpenAgrar (OA) Ecological Indicators 156 111084 |
institution |
Open Polar |
collection |
OpenAgrar (OA) |
op_collection_id |
ftopenagrar |
language |
English |
topic |
article Text ddc:570 ddc:310 Assessment Binomial distribution North Atlantic OSPAR Population status Sensitive fish species |
spellingShingle |
article Text ddc:570 ddc:310 Assessment Binomial distribution North Atlantic OSPAR Population status Sensitive fish species Nikolaus Probst, W. Lynam, Christopher P. Bluemel, Joanna K. Clarke, Maurice Assessing change in the occurrence of rare species using the binomial distribution |
topic_facet |
article Text ddc:570 ddc:310 Assessment Binomial distribution North Atlantic OSPAR Population status Sensitive fish species |
description |
The demand for comprehensive biodiversity assessments is increasing through the implementation of the ecosystem-based approach to management (EBM) of marine resources. Regional sea conventions such as the Oslo-Paris Commission (OSPAR) strive to implement EBM by developing an extensive status assessment program for the marine environment. Demersal fish communities are one ecosystem feature assessed by OSPAR through several ecological indicators. One of these indicators assesses the recovery in the population abundance of sensitive fish species, which was initially developed to report on the status of the sensitive fish community as a whole. However, for national reporting obligations, contracting parties of OSPAR (particularly for EU member states reporting to the Marine Strategy Framework Directive) prefer to have assessments for individual species. The previous indicator assessment relied on a suite of demersal fish species, which were caught frequently in scientific groundfish surveys, but did not provide assessment results for rare species caught in low frequencies. This study introduces a new assessment approach, the Binomial Occurrence Assessment (BOA), for the FC-1 indicator now renamed the “Recovery of sensitive fish species”, by applying the binomial distribution to relative occurrence data from scientific fisheries surveys. BOA uses occurrences in a reference period to determine boundaries for the expected occurrences in the recent (six year) assessment period of each survey. Significant changes in occurrence between the reference and assessment period, i.e. declines or recoveries, can then be detected when the observed occurrences in the assessment period fall outside of these boundaries. Methods to integrate the assessment results across multiple surveys are explored and compared since data on occurrences for fish species are available from more than one fisheries survey in each marine region considered by OSPAR. A case study on the sensitive demersal fish species in the North Sea exemplifies the ... |
format |
Article in Journal/Newspaper |
author |
Nikolaus Probst, W. Lynam, Christopher P. Bluemel, Joanna K. Clarke, Maurice |
author_facet |
Nikolaus Probst, W. Lynam, Christopher P. Bluemel, Joanna K. Clarke, Maurice |
author_sort |
Nikolaus Probst, W. |
title |
Assessing change in the occurrence of rare species using the binomial distribution |
title_short |
Assessing change in the occurrence of rare species using the binomial distribution |
title_full |
Assessing change in the occurrence of rare species using the binomial distribution |
title_fullStr |
Assessing change in the occurrence of rare species using the binomial distribution |
title_full_unstemmed |
Assessing change in the occurrence of rare species using the binomial distribution |
title_sort |
assessing change in the occurrence of rare species using the binomial distribution |
publisher |
Elsevier |
publishDate |
2023 |
url |
https://doi.org/10.1016/j.ecolind.2023.111084 https://www.openagrar.de/receive/openagrar_mods_00091471 https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00055954/dn067150.pdf |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
Ecological Indicators : integrating monitoring, assessment and management -- 1470-160X -- 2036774-0 https://doi.org/10.1016/j.ecolind.2023.111084 https://www.openagrar.de/receive/openagrar_mods_00091471 https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00055954/dn067150.pdf |
op_rights |
https://creativecommons.org/licenses/by-nc-nd/4.0/ public info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1016/j.ecolind.2023.111084 |
container_title |
Ecological Indicators |
container_volume |
156 |
container_start_page |
111084 |
_version_ |
1810464586396073984 |