Presentation is loading. Please wait.

Presentation is loading. Please wait.

Temperature and fish community in the Cantabrian Sea Punzón, A, López-López, L., González-Irusta, JM, Tel, E., Preciado, I., Hidalgo, M., Serrano, A.,

Published byClarence Cross Modified over 8 years ago

Similar presentations

Presentation on theme: "Temperature and fish community in the Cantabrian Sea Punzón, A, López-López, L., González-Irusta, JM, Tel, E., Preciado, I., Hidalgo, M., Serrano, A.,"— Presentation transcript:

1 Temperature and fish community in the Cantabrian Sea Punzón, A, López-López, L., González-Irusta, JM, Tel, E., Preciado, I., Hidalgo, M., Serrano, A., Sánchez, F., Velasco, F., Blanco, M., Ruiz, S., Zapico, O. and Massuti, E. CLIFISH PN I+D+I (MINECO/FEDER) ERDEM (IEO) Porto, 5-9 Septiembre 2016

2 Contents XIX Iberian Symposium on Marine Biology Studies, Porto Climate changes effects on demersal fishThe case of the Cantabrian seaHypothesisMaterial and MethodsResults & Tentative Conclusions

3 Climate change in Notheast Atlantic XIX Iberian Symposium on Marine Biology Studies, Porto Tasker et al., 2008 (ICES Cooperative Research Report) Sea surface temperature (SST), showing the mean for 2003–2007 minus the 1978–1982 mean. The plots are based on NOAA NCDC ERSST version 2, which is an extended reconstruction of global SST data based on ICOADS (Worley et al., 2005) monthly summary trimmed group data (http://www.cdc.noaa.gov/).

4 Effect of Climate Change in the Baltic Sea Fossheim et al., 2015 (Nature Climate change) XIX Iberian Symposium on Marine Biology Studies, Porto Distributional changes of fish communities from 2004 to 2012. Centre of distribution (circle: 2004, square: 2012) and track line for dierent communities

5 Effect of Climate Change in the North Sea Perry et al., 2005 (Science) Examples of North Sea fish distributions that have shifted north with climatic warming. Relationships between mean latitude and 5-year running mean winter bottom temperature for (A) cod, (B) anglerfish, and (C) snake blenny are shown. In (D), ranges of shifts in mean latitude are shown for (A), (B), and (C) within the North Sea. Bars on the map illustrate only shift ranges of mean latitudes, not longitudes. Arrows indicate where shifts have been significant over time, with the direction of movement XIX Iberian Symposium on Marine Biology Studies, Porto

6 Background: Cantabrian Sea A. Punzón A. Serrano, F. Sánchez, F. Velasco, I. Preciado, J.M. González-Irusta, L. López-López, 2016. Response of a temperate demersal fish community to global warming. Journal of Marne System Sampling square with significative changes in Richness From the total of species were selected 71 species (only those species which were identified at least in 30 samples) XIX Iberian Symposium on Marine Biology Studies, Porto

7 Changes in the distribution (1 sp) XIX Iberian Symposium on Marine Biology Studies, Porto

8 Frecuency of Occurrence (FO): trends by specie

9 Frecuency of Occurrence (FO) trends by specie % of species (71 sps) with significative changes in FO Biogeographical affinities 1 African 37 Lusitanian XIX Iberian Symposium on Marine Biology Studies, Porto

10 Meridionalization of the Cantabrian Sea Meridionalization: When an increase in the abundance of native fauna with southern affinities occurs Tropicalization: When an increase in the abundance of non- native species with tropical or sub-tropical affinities takes place 37 WITH LUSITANIAN AFFINITIES INCREASE fo & Ab 1 with african affinities increase fo & Ab XIX Iberian Symposium on Marine Biology Studies, Porto CIESM, 2008 (CIESM Workshop Monographs)

11 Hypothesis If changes are occurring in the common species that inhabit the study area (ΔFO & ΔAb), it should lead to changes in the demersal fish assemblage And if these changes are due to temperature, these changes should have a similar spatio-temporal structure of the temperature in the study area XIX Iberian Symposium on Marine Biology Studies, Porto

12 Material and Methods

13 Data Sources International Bottom Trawl Surveys Time Series: 1983:2015 Season: ~ 15 Sept-25 October Stratified Random Sampling by Geographical Sector by Depth Strata ~120 Samplings (otter trawl) by year CTD by haul (1993-2015) Species Selection: 71 sps XIX Iberian Symposium on Marine Biology Studies, Porto

14 MTC: Mean temperature of the catch Inspired by Cheung et al, 2013 (Nature) & Collie et al., 2008 (Canadian Journal of Fisheries and Aquatic Sciences) XIX Iberian Symposium on Marine Biology Studies, Porto MTC: Evaluate the changes in fish assemblages related to temperature Phycis blennoides

15 MTC: Mean temperature of the catch = Mean Temperature of sp i MTC s = mean temperature of the catch sample/haul s Ab i = Abundance sp i XIX Iberian Symposium on Marine Biology Studies, Porto

16 Statistical analysis Spatial InterpolationData Interpolating Variational Analysis (Diva)Time series analysis of the MTCGeneral Additive Models (GAM)Time series analysis of the MTC by sample stationNested General Linear Model (GLMn) XIX Iberian Symposium on Marine Biology Studies, Porto

17 RESULTS

18 Temperature in study area Gil & Sánchez 2003 (ICES Marine Science Symposia) Ruiz-Villarreal et al., 2006 (Marine Pollution Bulletin) Autunm-Winter (SW Wind) Poleward slope current (warm) Spring-Summer (NE Wind) Coastal Upwelling Oceanographic scenario during survey XIX Iberian Symposium on Marine Biology Studies, Porto

19 Depth strata MTC by geographical sector and depth strata CTD Data 1993-2015 (50m) Geographical sector XIX Iberian Symposium on Marine Biology Studies, Porto

20 MTC by depth strata and geographical sector XIX Iberian Symposium on Marine Biology Studies, Porto

21 Spatial distribution of MTC MTC Mean of time series by sampling station XIX Iberian Symposium on Marine Biology Studies, Porto

22 Time series of temperature in study area González-Pola et al., 2005 (Journal of Geophysical Research) Time Series of temperature of intermediate water masses XIX Iberian Symposium on Marine Biology Studies, Porto

23 Time series of temperature in study area Sea Surface Temperature (SST): NOAA Optimum Interpolation (OI) SST V2 NCEP Climate Modeling Branch/National Centers for Environmental Prediction XIX Iberian Symposium on Marine Biology Studies, Porto

24 Temporal trend of MTC sampling stations Temporal Trend in sampling stations (only statistically significant trends)

25 Temporal trend of MTC by geographical sector XIX Iberian Symposium on Marine Biology Studies, Porto

26 Temporal trend of MTC in the study area XIX Iberian Symposium on Marine Biology Studies, Porto

27 Provisional conclusions There are a relationship between MTC and the temperature at the different spatial levels. The temporal trend in MTC and temperature are similar Increase the contribution of the temperate species to the demersal fish assemblages The MTC could be a good tool to track the effect of the temperature on the fish assemblage XIX Iberian Symposium on Marine Biology Studies, Porto

28 ¡Muito Obrigado!

Download ppt "Temperature and fish community in the Cantabrian Sea Punzón, A, López-López, L., González-Irusta, JM, Tel, E., Preciado, I., Hidalgo, M., Serrano, A.,"

Similar presentations

An analysis of transport and water masses in the Straits of Florida and the Bahamas Moulin Aurélie Moulin Department of Marine and Environmental Systems.

An analysis of transport and water masses in the Straits of Florida and the Bahamas Moulin Aurélie Moulin Department of Marine and Environmental Systems.
Monitoring the Prestige oil spill impacts on the northern Iberian shelf ecosystem Francisco Sánchez Alberto Serrano Francisco Velasco Santiago Parra Inmaculada.

Monitoring the Prestige oil spill impacts on the northern Iberian shelf ecosystem Francisco Sánchez Alberto Serrano Francisco Velasco Santiago Parra Inmaculada.
Analyses of Bering Sea bottom- trawl surveys in Norton Sound: Absence of regime shift effect on epifauna and demersal fish Toshihide “Hamachan” Hamazaki.

Analyses of Bering Sea bottom- trawl surveys in Norton Sound: Absence of regime shift effect on epifauna and demersal fish Toshihide “Hamachan” Hamazaki.
D A Kiefer, D P Harrison, M G Hinton, E M Armstrong, F J O’Brien Pelagic Habitat Analysis Module (PHAM) for GIS Based Fisheries Decision Support NASA Biodiversity.

D A Kiefer, D P Harrison, M G Hinton, E M Armstrong, F J O’Brien Pelagic Habitat Analysis Module (PHAM) for GIS Based Fisheries Decision Support NASA Biodiversity.
Indian Monsoon, Indian Ocean dipoles and ENSO Pascal Terray LOCEAN/IPSL, France Fabrice Chauvin CNRM/Météo-France, France Sébastien Dominiak LOCEAN/IPSL,

Indian Monsoon, Indian Ocean dipoles and ENSO Pascal Terray LOCEAN/IPSL, France Fabrice Chauvin CNRM/Météo-France, France Sébastien Dominiak LOCEAN/IPSL,
G. Nolan 1, K.Lyons 1, S.Fennell 1, T. Mc Grath 1, D.Guihen 2, C.Cusack 1, C. Lynam 3 G. Nolan 1, K.Lyons 1, S.Fennell 1, T. Mc Grath 1, D.Guihen 2, C.Cusack.

G. Nolan 1, K.Lyons 1, S.Fennell 1, T. Mc Grath 1, D.Guihen 2, C.Cusack 1, C. Lynam 3 G. Nolan 1, K.Lyons 1, S.Fennell 1, T. Mc Grath 1, D.Guihen 2, C.Cusack.
Study of the demersal fish community of the Flemish Cap (NAFO Div. 3M): Changes in community structure and common trends during the period 1988-2008. Alfonso.

Study of the demersal fish community of the Flemish Cap (NAFO Div. 3M): Changes in community structure and common trends during the period Alfonso.
SIO 210: ENSO conclusion Dec. 2, 2004 Interannual variability (end of this lecture + next) –Tropical Pacific: El Nino/Southern Oscillation –Southern Ocean.

SIO 210: ENSO conclusion Dec. 2, 2004 Interannual variability (end of this lecture + next) –Tropical Pacific: El Nino/Southern Oscillation –Southern Ocean.
ENVIRONMENTAL AND OCEAN TEMPERATURES Robert Perry.

ENVIRONMENTAL AND OCEAN TEMPERATURES Robert Perry.
Potential temperature ( o C, Levitus 1994) Surface Global zonal mean.

Potential temperature ( o C, Levitus 1994) Surface Global zonal mean.
Effects of Climate Change on Marine Ecosystems David Mountain US CLIVAR Science Symposium 14 July 2008.

Effects of Climate Change on Marine Ecosystems David Mountain US CLIVAR Science Symposium 14 July 2008.
Janelle Fleming Interdisciplinary Seminar September 16, 1998 The 1976-77 North Pacific Ocean event: A unique climate shift, natural decadal variability,

Janelle Fleming Interdisciplinary Seminar September 16, 1998 The North Pacific Ocean event: A unique climate shift, natural decadal variability,
60º Introduction and Background ù The Barents Sea covers an area of about 1.4 x 10 6 km 2, with an average depth of 230 m. ù Climatic variations depend.

60º Introduction and Background ù The Barents Sea covers an area of about 1.4 x 10 6 km 2, with an average depth of 230 m. ù Climatic variations depend.
Keith Brander IMBER-GODAE 12 June 2007 Variability and shifts in marine ecosytems Keith Brander ICES/GLOBEC Coordinator.

Keith Brander IMBER-GODAE 12 June 2007 Variability and shifts in marine ecosytems Keith Brander ICES/GLOBEC Coordinator.
1 Observed Changes in Heavy Precipitation Events and Extratropical Cyclones David R. Easterling 1, Kenneth E. Kunkel 2, David Kristovitch 3, Scott Applequist.

1 Observed Changes in Heavy Precipitation Events and Extratropical Cyclones David R. Easterling 1, Kenneth E. Kunkel 2, David Kristovitch 3, Scott Applequist.
2. Fish and climate The forecasts are based on models.

2. Fish and climate The forecasts are based on models.
Nearshore fish communities response to habitat variability Terril P. Efird School of Fisheries and Ocean Sciences University of Alaska Fairbanks.

Nearshore fish communities response to habitat variability Terril P. Efird School of Fisheries and Ocean Sciences University of Alaska Fairbanks.
Spatial Fisheries Values in the Gulf of Alaska Matthew Berman Institute of Social and Economic Research University of Alaska Anchorage Ed Gregr Ryan Coatta.

Spatial Fisheries Values in the Gulf of Alaska Matthew Berman Institute of Social and Economic Research University of Alaska Anchorage Ed Gregr Ryan Coatta.
Section for Coastal Ecology Technical University of Denmark National Institute of Aquatic Resources Habitat modeling: linking biology to abiotic predictors.

Section for Coastal Ecology Technical University of Denmark National Institute of Aquatic Resources Habitat modeling: linking biology to abiotic predictors.
Ocean circulation Surface circulation driven by wind Subsurface circulation driven by density.

Ocean circulation Surface circulation driven by wind Subsurface circulation driven by density.

Similar presentations

Ads by Google