Structural uncertainty in projecting global fisheries catches under climate change

The global ocean is projected to be warmer, less oxygenated and more acidic in the 21st century relative to the present day, resulting in changes in the biogeography and productivity of marine organisms and ecosystems. Previous studies using a Dynamic Bioclimate Envelope Model (DBEM) projected incre...

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Main Authors: Cheung, William W.L., Jones, Miranda C., Reygondeau, Gabriel, Stock, Charles A., Lam, Vicky W.Y., Frölicher, Thomas L.
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0304380016000053
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spelling ftrepec:oai:RePEc:eee:ecomod:v:325:y:2016:i:c:p:57-66 2024-04-14T08:08:28+00:00 Structural uncertainty in projecting global fisheries catches under climate change Cheung, William W.L. Jones, Miranda C. Reygondeau, Gabriel Stock, Charles A. Lam, Vicky W.Y. Frölicher, Thomas L. http://www.sciencedirect.com/science/article/pii/S0304380016000053 unknown http://www.sciencedirect.com/science/article/pii/S0304380016000053 article ftrepec 2024-03-19T10:28:57Z The global ocean is projected to be warmer, less oxygenated and more acidic in the 21st century relative to the present day, resulting in changes in the biogeography and productivity of marine organisms and ecosystems. Previous studies using a Dynamic Bioclimate Envelope Model (DBEM) projected increases in potential catch in high latitude regions and decreases in tropical regions over the next few decades. A major structural uncertainty of the projected redistribution of species and fisheries catches can be attributed to the habitat suitability algorithms used. Here, we compare the DBEM projections of potential catches of 500 species of exploited marine fishes and invertebrates from 1971 to 2060 using three versions of DBEM that differ by the algorithm used to predict relative habitat suitability: DBEM-Basic, DBEM-Maxent and DBEM-Aquamaps. All the DBEM models have similar skill in predicting the occurrence of exploited species and distribution of observed fisheries production. Globally, the models project a decrease in catch potential of 3% to 13% by 2050 under a high emissions scenario (Representative Concentration Pathway 8.5). For the majority of the modelled species, projections by DBEM-Maxent are less sensitive to changes in ocean properties than those by DBEM-Aquamaps. The mean magnitude of projected changes relative to differences between projections differ between regions, being highest (>1 times the standard deviation) in the tropical regions and Arctic Ocean and lowest in three of the main Eastern Boundary Upwelling regions, the eastern Indian Ocean and the Southern Ocean. These results suggest that the qualitative patterns of changes in catch potential reported in previous studies are not affected by the structural uncertainty of DBEM, particularly in areas where catch potential was projected to be most sensitive to climate change. However, when making projections of fish stocks and their potential catches using DBEM in the future, multiple versions of DBEM should be used to quantify the ... Article in Journal/Newspaper Arctic Arctic Ocean Climate change Southern Ocean RePEc (Research Papers in Economics) Arctic Arctic Ocean Indian Southern Ocean
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description The global ocean is projected to be warmer, less oxygenated and more acidic in the 21st century relative to the present day, resulting in changes in the biogeography and productivity of marine organisms and ecosystems. Previous studies using a Dynamic Bioclimate Envelope Model (DBEM) projected increases in potential catch in high latitude regions and decreases in tropical regions over the next few decades. A major structural uncertainty of the projected redistribution of species and fisheries catches can be attributed to the habitat suitability algorithms used. Here, we compare the DBEM projections of potential catches of 500 species of exploited marine fishes and invertebrates from 1971 to 2060 using three versions of DBEM that differ by the algorithm used to predict relative habitat suitability: DBEM-Basic, DBEM-Maxent and DBEM-Aquamaps. All the DBEM models have similar skill in predicting the occurrence of exploited species and distribution of observed fisheries production. Globally, the models project a decrease in catch potential of 3% to 13% by 2050 under a high emissions scenario (Representative Concentration Pathway 8.5). For the majority of the modelled species, projections by DBEM-Maxent are less sensitive to changes in ocean properties than those by DBEM-Aquamaps. The mean magnitude of projected changes relative to differences between projections differ between regions, being highest (>1 times the standard deviation) in the tropical regions and Arctic Ocean and lowest in three of the main Eastern Boundary Upwelling regions, the eastern Indian Ocean and the Southern Ocean. These results suggest that the qualitative patterns of changes in catch potential reported in previous studies are not affected by the structural uncertainty of DBEM, particularly in areas where catch potential was projected to be most sensitive to climate change. However, when making projections of fish stocks and their potential catches using DBEM in the future, multiple versions of DBEM should be used to quantify the ...
format Article in Journal/Newspaper
author Cheung, William W.L.
Jones, Miranda C.
Reygondeau, Gabriel
Stock, Charles A.
Lam, Vicky W.Y.
Frölicher, Thomas L.
spellingShingle Cheung, William W.L.
Jones, Miranda C.
Reygondeau, Gabriel
Stock, Charles A.
Lam, Vicky W.Y.
Frölicher, Thomas L.
Structural uncertainty in projecting global fisheries catches under climate change
author_facet Cheung, William W.L.
Jones, Miranda C.
Reygondeau, Gabriel
Stock, Charles A.
Lam, Vicky W.Y.
Frölicher, Thomas L.
author_sort Cheung, William W.L.
title Structural uncertainty in projecting global fisheries catches under climate change
title_short Structural uncertainty in projecting global fisheries catches under climate change
title_full Structural uncertainty in projecting global fisheries catches under climate change
title_fullStr Structural uncertainty in projecting global fisheries catches under climate change
title_full_unstemmed Structural uncertainty in projecting global fisheries catches under climate change
title_sort structural uncertainty in projecting global fisheries catches under climate change
url http://www.sciencedirect.com/science/article/pii/S0304380016000053
geographic Arctic
Arctic Ocean
Indian
Southern Ocean
geographic_facet Arctic
Arctic Ocean
Indian
Southern Ocean
genre Arctic
Arctic Ocean
Climate change
Southern Ocean
genre_facet Arctic
Arctic Ocean
Climate change
Southern Ocean
op_relation http://www.sciencedirect.com/science/article/pii/S0304380016000053
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