Reversal of Fish Stock Decline in the Northeast Atlantic

Slides:



Advertisements
Similar presentations
Fishing as the exploitation of a natural resorce By Eskild Kirkegaard, ICES ACOM Chair ARVI International Conference on the Future of Fisheries Vigo, 27.
Advertisements

H. Murua, F. Saborido-Rey, Tomkiewicz, P. King and R. Rideout
Reversal of Fish Stock Decline in the Northeast Atlantic
Variability in the diet of common dolphins (Delphinus delphis) and prey availability along the Portuguese continental coast Ana Marçalo1,2, Lidia Nicolau1,2,
Figure 1. Distribution of pelagic fish stocks.
Soyoun Kim, Jaewon Hwang, Daeyeol Lee  Neuron 
Challenges and Priorities in Shark and Ray Conservation
Volume 22, Issue 11, Pages (June 2012)
William F. Laurance, Sean Sloan, Lingfei Weng, Jeffrey A. Sayer 
A Source for Feature-Based Attention in the Prefrontal Cortex
In Vivo Measurement of Glycine Receptor Turnover and Synaptic Size Reveals Differences between Functional Classes of Motoneurons in Zebrafish  Dawnis.
Mark S. Blumberg, Cassandra M. Coleman, Ashlynn I. Gerth, Bob McMurray 
Mark J. Costello, Chhaya Chaudhary  Current Biology 
Biodiversity and Ecosystem Functioning: The Mystery of the Deep Sea
Efficient Receptive Field Tiling in Primate V1
Volume 21, Issue 18, Pages (September 2011)
Pattern and Component Motion Responses in Mouse Visual Cortical Areas
Sebastian Meyer, Raimund Dutzler  Structure 
Volume 18, Issue 19, Pages (October 2008)
Volume 21, Issue 20, Pages R837-R838 (October 2011)
A Statistical Description of Plant Shoot Architecture
Rachael E. Jack, Oliver G.B. Garrod, Philippe G. Schyns 
Volume 81, Issue 6, Pages (March 2014)
Reversal of Fish Stock Decline in the Northeast Atlantic
Longitude Perception and Bicoordinate Magnetic Maps in Sea Turtles
Antarctic sea ice losses drive gains in benthic carbon drawdown
A Statistical Description of Plant Shoot Architecture
Volume 19, Issue 12, Pages (June 2009)
Differential Impact of Behavioral Relevance on Quantity Coding in Primate Frontal and Parietal Neurons  Pooja Viswanathan, Andreas Nieder  Current Biology 
Nathan F. Putman, Katherine L. Mansfield  Current Biology 
Human Disruption of Coral Reef Trophic Structure
Margarita V. Chibalina, Dmitry A. Filatov  Current Biology 
Old-Growth Fishes Become Scarce under Fishing
Michael J.L. Magrath, Oscar Vedder, Marco van der Velde, Jan Komdeur 
Cristina Márquez, Scott M. Rennie, Diana F. Costa, Marta A. Moita 
Reinforcement Can Overcome Gene Flow during Speciation in Drosophila
Cultural Confusions Show that Facial Expressions Are Not Universal
Bright spots of sustainable shark fishing
Gal Aharon, Meshi Sadot, Yossi Yovel  Current Biology 
Nicolas Catz, Peter W. Dicke, Peter Thier  Current Biology 
Hippocampal “Time Cells”: Time versus Path Integration
Marian Stewart Bartlett, Gwen C. Littlewort, Mark G. Frank, Kang Lee 
In Vivo Measurement of Glycine Receptor Turnover and Synaptic Size Reveals Differences between Functional Classes of Motoneurons in Zebrafish  Dawnis.
BOLD fMRI Correlation Reflects Frequency-Specific Neuronal Correlation
Kevin Wood Bieri, Katelyn N. Bobbitt, Laura Lee Colgin  Neuron 
Evolution of Eukaryotic DNA Methylation and the Pursuit of Safer Sex
Volume 95, Issue 5, Pages e5 (August 2017)
Volume 28, Issue 4, Pages e6 (February 2018)
Volume 26, Issue 4, Pages (February 2016)
Volume 77, Issue 6, Pages (March 2013)
Pattern and Component Motion Responses in Mouse Visual Cortical Areas
Mark S. Blumberg, Cassandra M. Coleman, Ashlynn I. Gerth, Bob McMurray 
The Alarming Decline of Mediterranean Fish Stocks
Gilad A. Jacobson, Peter Rupprecht, Rainer W. Friedrich 
Volume 98, Issue 11, Pages (June 2010)
Traces of Experience in the Lateral Entorhinal Cortex
Zuzana Burivalova, Çağan Hakkı Şekercioğlu, Lian Pin Koh 
Encoding of Stimulus Probability in Macaque Inferior Temporal Cortex
Self-Control in Chimpanzees Relates to General Intelligence
Volume 25, Issue 4, Pages (February 2015)
Keith A. May, Li Zhaoping, Paul B. Hibbard  Current Biology 
Daniela Vallentin, Andreas Nieder  Current Biology 
Active Inbreeding in a Cichlid Fish and Its Adaptive Significance
Equivalent Parental Contribution to Early Plant Zygotic Development
Richard A. Peters, Jan M. Hemmi, Jochen Zeil  Current Biology 
David A. McVea, Keir G. Pearson  Current Biology 
Synergistic Effects of Marine Reserves and Harvest Controls on the Abundance and Catch Dynamics of a Coral Reef Fishery  Jess K. Hopf, Geoffrey P. Jones,
Efficient Receptive Field Tiling in Primate V1
Biodiversity and Ecosystem Functioning: The Mystery of the Deep Sea
Motion-Induced Blindness and Motion Streak Suppression
Presentation transcript:

Reversal of Fish Stock Decline in the Northeast Atlantic Paul G. Fernandes, Robin M. Cook  Current Biology  Volume 23, Issue 15, Pages 1432-1437 (August 2013) DOI: 10.1016/j.cub.2013.06.016 Copyright © 2013 Elsevier Ltd Terms and Conditions

Figure 1 Time Series of the Difference in Exploitation Rate relative to HMSY for 47 Northeast Atlantic Fish Stocks The exploitation rate minus the exploitation rate consistent with maximum sustainable yield expressed as a proportion of HMSY (i.e. ΔH/HMSY) from 1960–2001 (crosses, prior to the 2002 CFP reform) and 2002–2011 (dots, after reform) separated into habitat and species groupings: (A) pelagic (herring, mackerel, sprat, horse mackerel); (B) demersal (haddock, whiting, hake, saithe, Norway pout); (C) flatfish (plaice, sole, megrim, halibut); and (D) cod stocks. The solid black line is the average for each group and shows how the relative difference in exploitation rates have declined consistently since the 2002 reform (dotted vertical line). See also Figure S2. Current Biology 2013 23, 1432-1437DOI: (10.1016/j.cub.2013.06.016) Copyright © 2013 Elsevier Ltd Terms and Conditions

Figure 2 The Geographical Distribution of the Difference in Exploitation Rate for 57 Northeast Atlantic Fish Stocks The difference in exploitation rate (ΔH) is the exploitation rate (Hyear) minus the exploitation rate consistent with maximum sustainable yield (HMSY) in (A) 2002 and (B) 2011. The size of the circle is proportional to the absolute difference in ΔH and is color coded according to status. Stocks in green are fished within sustainable limits, while stocks in red have exploitation rates in excess of these limits; hence, the larger the red circle, the more the stock is overfished, and the larger the green circle, the more the stock is underfished. The circles are positioned approximately according to the center of the stock location in the ICES ecoregions (labeled), with the exception of the widely distributed stocks, which are positioned to the western edge of the continental shelf. An abbreviation for the species name is provided in the center of each circle: ane, Engraulis encrasicolus; cap, Mallotus villosus; cod, Gadus morhua; ghl, Reinhardtius hippoglossoides; had, Melanogrammus aeglefinus; her, Clupea harengus; hke, Merluccius merluccius; hom, Trachurus trachurus; mac, Scomber scombrus; mgb, Lepidorhombus boscii; mgw, Lepidorhombus whiffiagonis; nop, Trisopterus esmarkii; ple, Pleuronectes platessa; sai, Pollachius virens; san, Ammodytidae; sar, Sardina pilchardus; sol, Solea solea; spr, Sprattus sprattus; whb, Micromesistius poutassou; whg, Merlangius merlangus. Stocks for which there are no reference points are abbreviated as text alone followed by a question mark. See also Figure S1 for equivalent distribution of relative SSB. Current Biology 2013 23, 1432-1437DOI: (10.1016/j.cub.2013.06.016) Copyright © 2013 Elsevier Ltd Terms and Conditions

Figure 3 Proportion of Fish Stocks in the Northeast Atlantic with Different Categories of Exploitation Based on a Moving 10-Year Trend with Time The top panel (A) shows the proportion of stocks in two categories classified by exploitation rate (H) and spawning stock biomass (SSB). Each point corresponds to the trend calculated in the 10-year period preceding that year. The solid line shows improving stocks and the dotted line deteriorating stocks. The lower panel (B) also shows the same analysis, but classifies stocks only by exploitation rate (dotted line) or SSB (solid line). Current Biology 2013 23, 1432-1437DOI: (10.1016/j.cub.2013.06.016) Copyright © 2013 Elsevier Ltd Terms and Conditions

Figure 4 Relationships between Fishing Effort and the Mean Difference in Exploitation Rate Relative to HMSY Fishing effort combines fishing vessel capacity in kilowatts with days spent at sea fishing and has units of kilowatt days. The difference in exploitation rate relative to HMSY is the exploitation rate minus the exploitation rate consistent with maximum sustainable yield expressed as a proportion of HMSY (i.e. ΔH/HMSY). These two quantities were estimated in each year from 2002–2011 (year indicated in the centre of each point) and were separated into habitat and species groupings: (A) effort attributed to pelagic fishing gear against the mean ΔH/HMSY for pelagic species (herring, mackerel, sprat, horse mackerel), (B) effort attributed to demersal fishing gear (bottom trawls, otter trawls, seine nets, drift nets) against the mean ΔH/HMSY for demersal species (haddock, whiting, hake, saithe, Norway pout), (C) effort attributed to beam trawls against the mean ΔH/HMSY for flatfish (plaice, sole, megrim, halibut), and (D) effort attributed to demersal fishing gear against the mean ΔH/HMSY for cod stocks. The mean ΔH/HMSY is the data shown as the solid line as the average for each group in Figure 2. In each panel, the Pearson’s product moment correlation coefficient (r) is reported along with the sample size (n) and the significance (p) truncated to two significant digits. See also Figure S2 for the time series of fishing effort. Current Biology 2013 23, 1432-1437DOI: (10.1016/j.cub.2013.06.016) Copyright © 2013 Elsevier Ltd Terms and Conditions