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Sandy beach ecosystems and climate variability Omar Defeo, Leonardo Ortega, Eleonora Celentano, Diego Lercari, Gastón Martínez Sandy beaches • World’s coastlines total almost 106 km • Sandy beaches dominate open coastlines • Accreting beaches are the exception (<10%) • > 80 % are experiencing some erosion Sandy beaches: main physical factors tides waves sand Sandy beach threats Sandy beaches provide irreplaceable ecosystem services to society Centuries Climate change and sea-level rise Coastal engineering and urban development Decades Beach mining Time Environment and biota are being threatened by several drivers acting at multiple temporal and spatial scales Pollution, nourishment and grooming Years Exploitation Months Severely underrepresented in climate change ecology Recreation and ORVs Weeks 1 10 100 1000 Space (km) Do sandy beaches respond to climate change in ways that are consistent with expectations of hypotheses from general climate-change ecology? Defeo et al 2009, 2013, Schoeman et al 2014 The physical environment: coastal squeeze • Beaches are caught between rising sea and expanding human activity • Retreat is not possible in most cases because of urban development • Beach and dunes reduced/lost COAST Expanding population Coastal squeeze Sea level rise Coastal squeeze + erosion: negative socio-economic effects Coastal squeeze: negative socio-economic effects Increase in temperature, onshore winds and extreme events Ortega et al. 2013, Defeo et al. 2013 Wind speed anomalies (m.s-1) Uruguayan coast: Increase in temperature, and in the frequency, intensity and speed of onshore winds Long-term increase in wave height, swash width, and decrease in beach slope Î EROSION 2.2 y = 0.28x + 1.63 1.6 1988 1993 1990 1.4 1.2 -0.4 1989 0.1 0.6 Sea surface temperature anomalies (ºC) Sw ash w idth (m ) y = 0.45x - 879.54 2 R = 0.80*** 20 18 16 14 12 10 1991 1995 1999 2003 Year 2008 2006 24 22 2011 2.0 R²= 0.44*** 1.8 2007 2007 2011 1.1 Climate fluctuations affect the social-ecological system Society Habitat Fauna Hall 2011, Defeo & Castilla 2012, Defeo et al. 2013 Number of fishable days Loss of intertidal habitat, catchability, fishing days and $$$ 24 January 22 February Perception of fishers: fishing days 20 18 16 14 12 0 10 1985 1986 1987 1990 2009 2010 2011 Much less Less Normal More Much more Sandy beach macrofauna > 95% of species, abundance and biomass made up by three taxa: • Crustaceans (isopods, amphipods, hippids, mysids, decapods) • Molluscs (bivalves and gastropods) • Polychaete worms How do they respond to the beach environment and climate variability? Mesodesma Excirolana Glycera Sandy beach clams – Pacific – Atlantic South America 4500 4000 Peru Catch (ton) 3500 4ºS 3000 2500 2000 1500 1000 500 0 24ºS 1969 1974 1979 1984 1989 1994 1999 2004 20000 Mesodesma donacium Chile Catch (ton) 16000 41ºS 50ºS Mesodesma mactroides 12000 8000 4000 0 Mesodesma mactroides Uruguay-Brazil-Argentina 10000 8000 1965 1970 1975 1980 1985 1990 1995 2000 2005 6000 4000 2000 Year 2009 2007 2005 2003 2001 1999 1997 1995 1993 1991 1989 1987 1985 1983 0 1981 A b u n d a n c e (in d /m ) 12000 Almost collapsed fishery stocks, despite management strategies (area-based + co-management) that succeeded in other benthic fisheries (Chile, Uruguay) Sandy beach clams: mass mortalities Mass mortalities of this cold-water clams during the last 2 decades decimated populations throughout entire distribution ranges in the Atlantic and Pacific: 1. Important SOCIAL-ECOLOGICAL SYSTEMS: fisheries and human livelihoods affected 2. Community structures and ecosystems drastically changed 3. Possible causes: fishing PLUS temperature increase, algal blooms, diseases Brazil – Uruguay – Argentina Peru - Chile Fiori et al. 2004, Fiori & Defeo 2006, Oderbrecht et al 2009 12000 10000 8000 3 2 1 6000 0 4000 -1 2000 -2 0 -3 AMO (cumulative sum) Regime shift Mass mortalities Abundance (Ind.m-1) Atlantic Multidecadal Oscillation Regime shift Atlantic yellow clam: mass mortalities and increasing temperature 2008 2005 2002 1999 1996 1993 1990 1987 1984 1981 1978 1975 1972 1969 1966 1963 1960 Year Increase in temperature TA S S Defeo & Castilla 2012, Ortega et al. 2012, 2013, Schloeman et al. 2014 Mass mortalities: negative socio-economic effects Mass mortalities that began in late 1993 Closed fishery until 2008, without showing evidence of stock recovery, particularly in the adult (harvestable) stock Ortega et al. 2012, 2013, Defeo et al. 2014 Pacific surf clam: mass mortalities, ENSO and fishery collapse ENSO affected landings in Peru and Northern Chile: closed season in Peru since 1999… Unit price: another significant predictor of long-term trends ENSO Ortega et al. 2012 Ecological effects of climate variability: tropicalization Experimental management 100 Adult abundance (%) Massive mortalities of yellow clam 80 Changes being assessed: 1. Increasing SST 2. Phytoplankton biomass, Donax hanleyanus composition and Emerita brasiliensis 60 intensity of blooms 3. Benthic community 40 Mesodesma mactroides 20 4. Population abundance 5. Persistence of invasive 0 1982 Frequency by number (%) structure 1984 1986 1988 1990 1992 1994 1996 1998 2000 species 6. Range shifts Mesodesma donacium 100 EL NIÑO 80 Donax peruvianus 60 40 20 Emerita analoga Others Jun ´81 ´ Dec ´´81 Jun ´82 Dec ´82 Jun ´83 Oct ´83 Blooms Climate change and transitional waters Changes in: • • • • Temperature Precipitations Sea level Water runoff Uruguay Hypotheses to be tested: • Spp composition shifts • Expansion of exotic species (Corbicula)? • Increase in mortality of marine species Basset et al. 2013, Schoeman et al. 2014 Sandy beaches as social-ecological systems Governance modes and institutional structures Long term management policies Government-based Co-management Decentralized Environment Ecosystem Processes, functions UN C Ec olo gic al, S Biodiversity ER TA INT Y tat isti cal ,S oci o -ec on om ic, G ove rna Abundance/structure Management tools Time Space Species Sizes Effort Services Fisheries Tourism Protection to extreme events nce Sandy beach management requires the integration of ecology with socio-economic and institutional factors Conclusions: sandy beaches & climate variability 1. Different lines of evidence support a climate change interpretation as a primary causal agent in sandy beaches 2. Effects on the environment: a. Coastal squeeze (sea level rise and urbanization) b. Changes in beach morphodynamics: erosion c. Increase in swash width 3. Effects on macrofauna: a. Biodiversity loss: a major driver of ecosystem change (regime shifts) b. Across taxa: similar effects in parallel communities (Atlantic and Pacific) Conclusions: sandy beaches & climate variability 1. Biophysical changes affected socio-economic issues: sandy beaches as social-ecological systems 2. Effects of climate variability swamped management measures 3. Long-term policies, early warning systems (e.g. red tides) and co-governance of SES are needed 4. Institutional adaptive capacity to cope with climatic and human drivers of change Gutierrez et al. 2011 - Nature