A UK perspective on the development of marine ecosystem indicators

2005 ◽  
Vol 50 (1) ◽  
pp. 9-19 ◽  
Author(s):  
S.I. Rogers ◽  
B. Greenaway
2021 ◽  
Vol 125 ◽  
pp. 107522
Author(s):  
Kurt C. Heim ◽  
Lesley H. Thorne ◽  
Joseph D. Warren ◽  
Jason S. Link ◽  
Janet A. Nye

2009 ◽  
Vol 67 (4) ◽  
pp. 787-795 ◽  
Author(s):  
Jason S. Link ◽  
Dawit Yemane ◽  
Lynne J. Shannon ◽  
Marta Coll ◽  
Yunne-Jai Shin ◽  
...  

Abstract Link, J. S., Yemane, D., Shannon, L. J., Coll, M., Shin, Y-J., Hill, L., and Borges, M. F. 2010. Relating marine ecosystem indicators to fishing and environmental drivers: an elucidation of contrasting responses. – ICES Journal of Marine Science, 67: 787–795. The usefulness of indicators in detecting ecosystem change depends on three main criteria: the availability of data to estimate the indicator (measurability), the ability to detect change in an ecosystem (sensitivity), and the ability to link the said change in an indicator as a response to a known intervention or pressure (specificity). Here, we specifically examine the third aspect of indicator change, with an emphasis on multiple methods to explore the “relativity” of major ecosystem drivers. We use a suite of multivariate methods to explore the relationships between a pre-established set of fisheries-orientated ecosystem status indicators and the key drivers for those ecosystems (particularly emphasizing proxy indicators for fishing and the environment). The results show the relative importance among fishing and environmental factors, which differed notably across the major types of ecosystems. Yet, they also demonstrated common patterns in which most ecosystems, and indicators of ecosystem dynamics are largely driven by fisheries (landings) or human (human development index) factors, and secondarily by environmental drivers (e.g. AMO, PDO, SST). How one might utilize this empirical evidence in future efforts for ecosystem approaches to fisheries is discussed, highlighting the need to manage fisheries in the context of environmental and other human (e.g. economic) drivers.


PLoS ONE ◽  
2014 ◽  
Vol 9 (10) ◽  
pp. e109365 ◽  
Author(s):  
Ellen Kenchington ◽  
Francisco Javier Murillo ◽  
Camille Lirette ◽  
Mar Sacau ◽  
Mariano Koen-Alonso ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jarrod A. Santora ◽  
Tanya L. Rogers ◽  
Megan A. Cimino ◽  
Keith M. Sakuma ◽  
Keith D. Hanson ◽  
...  

AbstractThe COVID-19 pandemic caused unprecedented cancellations of fisheries and ecosystem-assessment surveys, resulting in a recession of observations needed for management and conservation globally. This unavoidable reduction of survey data poses challenges for informing biodiversity and ecosystem functioning, developing future stock assessments of harvested species, and providing strategic advice for ecosystem-based management. We present a diversified framework involving integration of monitoring data with empirical models and simulations to inform ecosystem status within the California Current Large Marine Ecosystem. We augment trawl observations collected from a limited fisheries survey with survey effort reduction simulations, use of seabird diets as indicators of fish abundance, and krill species distribution modeling trained on past observations. This diversified approach allows for evaluation of ecosystem status during data-poor situations, especially during the COVID-19 era. The challenges to ecosystem monitoring imposed by the pandemic may be overcome by preparing for unexpected effort reduction, linking disparate ecosystem indicators, and applying new species modeling techniques.


Marine Policy ◽  
2014 ◽  
Vol 50 ◽  
pp. 178-189 ◽  
Author(s):  
Sandra R. Werner ◽  
James P.G. Spurgeon ◽  
Gary H. Isaksen ◽  
Joseph P. Smith ◽  
Nina K. Springer ◽  
...  

2012 ◽  
Vol 22 (3) ◽  
pp. 835-845 ◽  
Author(s):  
Yunne-Jai Shin ◽  
◽  
Alida Bundy ◽  
Lynne J. Shannon ◽  
Julia L. Blanchard ◽  
...  

2020 ◽  
Vol 637 ◽  
pp. 117-140 ◽  
Author(s):  
DW McGowan ◽  
ED Goldstein ◽  
ML Arimitsu ◽  
AL Deary ◽  
O Ormseth ◽  
...  

Pacific capelin Mallotus catervarius are planktivorous small pelagic fish that serve an intermediate trophic role in marine food webs. Due to the lack of a directed fishery or monitoring of capelin in the Northeast Pacific, limited information is available on their distribution and abundance, and how spatio-temporal fluctuations in capelin density affect their availability as prey. To provide information on life history, spatial patterns, and population dynamics of capelin in the Gulf of Alaska (GOA), we modeled distributions of spawning habitat and larval dispersal, and synthesized spatially indexed data from multiple independent sources from 1996 to 2016. Potential capelin spawning areas were broadly distributed across the GOA. Models of larval drift show the GOA’s advective circulation patterns disperse capelin larvae over the continental shelf and upper slope, indicating potential connections between spawning areas and observed offshore distributions that are influenced by the location and timing of spawning. Spatial overlap in composite distributions of larval and age-1+ fish was used to identify core areas where capelin consistently occur and concentrate. Capelin primarily occupy shelf waters near the Kodiak Archipelago, and are patchily distributed across the GOA shelf and inshore waters. Interannual variations in abundance along with spatio-temporal differences in density indicate that the availability of capelin to predators and monitoring surveys is highly variable in the GOA. We demonstrate that the limitations of individual data series can be compensated for by integrating multiple data sources to monitor fluctuations in distributions and abundance trends of an ecologically important species across a large marine ecosystem.


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