TY - JOUR
T1 - Responses of ecological indicators to fishing pressure under environmental change:
T2 - exploring non-linearity and thresholds
AU - Fu, Caihong
AU - Xu, Yi
AU - Grüss, Arnaud
AU - Bundy, Alida
AU - Shannon, Lynne
AU - Heymans, Johanna J
AU - Halouani, Ghassen
AU - Akoglu, Ekin
AU - Lynam, Christopher P
AU - Coll, Marta
AU - Fulton, Elizabeth A
AU - Velez, Laure
AU - Shin, Yunne-jai
AU - Link, Jason
N1 - © International Council for the Exploration of the Sea 2019.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Supplementary data
PY - 2019/9/27
Y1 - 2019/9/27
N2 - Marine ecosystems are influenced by multiple stressors in both linear and non-linear ways. Using generalized additive models (GAMs) fitted to outputs from a multi-ecosystem, multi-model simulation experiment, we investigated 14 major ecological indicators across ten marine ecosystems about their responses to fishing pressure under: (i) three different fishing strategies (focusing on low-, high-, or all-trophic-level taxa); and (ii) four different scenarios of directional or random primary productivity change, a proxy for environmental change. From this work, we draw four major conclusions: (i) responses of indicators to fishing mortality in shapes, directions, and thresholds depend on the fishing strategies considered; (ii) most of the indicators demonstrate decreasing trends with increasing fishing mortality, with a few exceptions depending on the type of fishing strategy; (iii) most of the indicators respond to fishing mortality in a linear way, particularly for community and biomass-based indicators; and (iv) occurrence of threshold for non-linear-mixed type (i.e. non-linear with inflection points) is not prevalent within the fishing mortality rates explored. The conclusions drawn from the present study provide a knowledge base in indicators’ dynamics under different fishing and primary productivity levels, thereby facilitating the application of ecosystem-based fisheries management worldwide.
AB - Marine ecosystems are influenced by multiple stressors in both linear and non-linear ways. Using generalized additive models (GAMs) fitted to outputs from a multi-ecosystem, multi-model simulation experiment, we investigated 14 major ecological indicators across ten marine ecosystems about their responses to fishing pressure under: (i) three different fishing strategies (focusing on low-, high-, or all-trophic-level taxa); and (ii) four different scenarios of directional or random primary productivity change, a proxy for environmental change. From this work, we draw four major conclusions: (i) responses of indicators to fishing mortality in shapes, directions, and thresholds depend on the fishing strategies considered; (ii) most of the indicators demonstrate decreasing trends with increasing fishing mortality, with a few exceptions depending on the type of fishing strategy; (iii) most of the indicators respond to fishing mortality in a linear way, particularly for community and biomass-based indicators; and (iv) occurrence of threshold for non-linear-mixed type (i.e. non-linear with inflection points) is not prevalent within the fishing mortality rates explored. The conclusions drawn from the present study provide a knowledge base in indicators’ dynamics under different fishing and primary productivity levels, thereby facilitating the application of ecosystem-based fisheries management worldwide.
KW - Ecosystem based fisheries management
KW - generalized additive model
KW - marine ecosystem model
KW - non-linear response
KW - primary productivity
U2 - 10.1093/icesjms/fsz182
DO - 10.1093/icesjms/fsz182
M3 - Article
SN - 1054-3139
VL - 77
SP - 1516
EP - 1531
JO - ICES Journal of Marine Science
JF - ICES Journal of Marine Science
IS - 4
ER -