Trophic Cascades in a Formerly Cod-Dominated Ecosystem
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Red Sea Large Marine Ecosystem (Lme
III-6 Red Sea: LME #33 S. Heileman and N. Mistafa The Red Sea LME is bordered by Djibouti, Egypt, Eritrea, Israel, Jordan, Saudi Arabia, Sudan and Yemen. It has a surface area of 458,620 km2, of which 2.33% is protected and includes 3.8% of the world’s coral reefs (Sea Around Us 2007). It is characterised by dense, salty water formed by net evaporation with rates up to 1.4 - 2.0 m yr-1 (Hastenrath & Lamb 1979) and deep convection in the northern sector resulting in the formation of a deep water mass flowing out into the Gulf of Aden underneath a layer of less saline inflowing water (Morcos 1970). A dominant phenomenon affecting the oceanography and meteorology of the region is the Arabian monsoon. In winter, northeast monsoon winds extend well into the Gulf of Aden and the southern Red Sea, causing a seasonal reversal in the winds over this entire region (Patzert 1974). The seasonal monsoon reversal and the local coastal configuration combine in summer to force a radically different circulation pattern composed of a thin surface outflow, an intermediate inflowing layer of Gulf of Aden thermocline water and a vastly reduced (often extinguished) outflowing deep layer (Patzert 1974). Within the basin itself, the general surface circulation is cyclonic (Longhurst 1998). High evaporation and low precipitation maintain the Red Sea LME as one of the most saline water masses of the world oceans, with a mean surface salinity of 42.5 ppt and a mean temperature of 30° C during the summer (Sofianos et al. -
Fisheries in Large Marine Ecosystems: Descriptions and Diagnoses
Fisheries in Large Marine Ecosystems: Descriptions and Diagnoses D. Pauly, J. Alder, S. Booth, W.W.L. Cheung, V. Christensen, C. Close, U.R. Sumaila, W. Swartz, A. Tavakolie, R. Watson, L. Wood and D. Zeller Abstract We present a rationale for the description and diagnosis of fisheries at the level of Large Marine Ecosystems (LMEs), which is relatively new, and encompasses a series of concepts and indicators different from those typically used to describe fisheries at the stock level. We then document how catch data, which are usually available on a smaller scale, are mapped by the Sea Around Us Project (see www.seaaroundus.org) on a worldwide grid of half-degree lat.-long. cells. The time series of catches thus obtained for over 180,000 half-degree cells can be regrouped on any larger scale, here that of LMEs. This yields catch time series by species (groups) and LME, which began in 1950 when the FAO started collecting global fisheries statistics, and ends in 2004 with the last update of these datasets. The catch data by species, multiplied by ex-vessel price data and then summed, yield the value of the fishery for each LME, here presented as time series by higher (i.e., commercial) groups. Also, these catch data can be used to evaluate the primary production required (PPR) to sustain fisheries catches. PPR, when related to observed primary production, provides another index for assessing the impact of the countries fishing in LMEs. The mean trophic level of species caught by fisheries (or ‘Marine Trophic Index’) is also used, in conjunction with a related indicator, the Fishing-in-Balance Index (FiB), to assess changes in the species composition of the fisheries in LMEs. -
Resolving Geographic Expansion in the Marine Trophic Index
Vol. 512: 185–199, 2014 MARINE ECOLOGY PROGRESS SERIES Published October 9 doi: 10.3354/meps10949 Mar Ecol Prog Ser Contribution to the Theme Section ‘Trophodynamics in marine ecology’ FREEREE ACCESSCCESS Region-based MTI: resolving geographic expansion in the Marine Trophic Index K. Kleisner1,3,*, H. Mansour2,3, D. Pauly1 1Sea Around Us Project, Fisheries Centre, University of British Columbia, 2202 Main Mall, Vancouver, BC V6T 1Z4, Canada 2Earth and Ocean Sciences, University of British Columbia, 2207 Main Mall, Vancouver, BC V6T 1Z4, Canada 3Present address: NOAA, Northeast Fisheries Science Center, 166 Water St., Woods Hole, MA 02543, USA ABSTRACT: The Marine Trophic Index (MTI), which tracks the mean trophic level of fishery catches from an ecosystem, generally, but not always, tracks changes in mean trophic level of an ensemble of exploited species in response to fishing pressure. However, one of the disadvantages of this indicator is that declines in trophic level can be masked by geographic expansion and/or the development of offshore fisheries, where higher trophic levels of newly accessed resources can overwhelm fishing-down effects closer inshore. Here, we show that the MTI should not be used without accounting for changes in the spatial and bathymetric reach of the fishing fleet, and we develop a new index that accounts for the potential geographic expansion of fisheries, called the region-based MTI (RMTI). To calculate the RMTI, the potential catch that can be obtained given the observed trophic structure of the actual catch is used to assess the fisheries in an initial (usu- ally coastal) region. When the actual catch exceeds the potential catch, this is indicative of a new fishing region being exploited. -
The Yellow Sea Ecoregion: a Global Biodiversity Treasure
THE YELLOW SEA ECOREGION: Yellow Sea Ecoregion A GLOBAL BIODIVERSITY TREASURE A global biodiversity treasure under pressure A regional strategy and action plan A global treasure, a global responsibility The Yellow Sea LME is an important global resource. This The global importance of the Yellow Sea Ecoregion has been international waterbody supports substantial populations of recognised by governments and the international community in fish, invertebrates, marine mammals, and seabirds. Among the recent years. Starting in 1992, the Chinese and South Korean world's 64 large marine ecosystems (LMEs), the Yellow Sea governments together developed a transboundary approach to LME has been one of the most significantly affected by human the management of the Yellow Sea area with the assistance of development. Large human populations live in the basins that UNDP, UNEP, the World Bank, and NOAA. In 2005, a UNDP/GEF drain into the Yellow Sea. Seaside cities with tens of millions project, the Yellow Sea Large Marine Ecosystem project, was of inhabitants include Qingdao, Tianjin, Dalian, Shanghai, officially launched with participation of the Chinese and South Seoul/Inchon, and Pyongyang-Nampo. People in these urban Korean governments. areas are dependent on the Yellow Sea as a source of food, Meanwhile, in 2002, WWF and other conservation NGOs and economic development, recreation, and tourism. research institutes in China, South Korea and Japan began an Yet the Yellow Sea is under serious threat from industrial and assessment of Yellow Sea Ecoregion biodiversity. The objective agricultural waste, extensive economic development in the of this regional partnership was to prioritise conservation actions coastal zone, the unsustainable exploitation of natural resources, based on scientific data. -
Ecosystem Modelling in the Eastern Mediterranean Sea: the Cumulative Impact of Alien Species, Fishing and Climate Change on the Israeli Marine Ecosystem
Ecosystem modelling in the Eastern Mediterranean Sea: the cumulative impact of alien species, fishing and climate change on the Israeli marine ecosystem PhD Thesis 2019 Xavier Corrales Ribas Ecosystem modelling in the Eastern Mediterranean Sea: the cumulative impact of alien species, fishing and climate change on the Israeli marine ecosystem Modelización ecológica en el Mediterráneo oriental: el impacto acumulado de las especies invasoras, la pesca y el cambio climáti co en el ecosistema marino de Israel Memoria presentada por Xavier Corrales Ribas para optar al título de Doctor por la Universidad Politécnica de Cataluña (UPC) dentro del Programa de Doctorado de Ciencias del Mar Supervisores de tesis: Dr. Marta Coll Montón. Instituto de Ciencias del Mar (ICM-CSIC), Barcelona, España Dr. Gideon Gal. Centro de Investigación Oceanográfica y Limnológica de Israel (IOLR), Migdal, Israel Tutor: Dr. Manuel Espino Infantes. Universidad Politécnica de Cataluña (UPC), Barcelona, España Enero 2019 This PhD thesis has been framed within the project DESSIM ( A Decision Support system for the management of Israel’s Mediterranean Exclusive Economic Zone ) through a grant from the Israel Oceanographic and Limnological Research Institute (IORL). The PhD has been carried out at the Kinneret Limnological Laboratory (IOLR) (Migdal, Israel) and the Institute of Marine Science (ICM-CSIC) (Barcelona, Spain). The project team included Gideon Gal (Kinneret Limnological Laboratory, IORL, Israel) who was the project coordinator and co-director of this thesis, Marta Coll (ICM- CSIC, Spain), who was co-director of this thesis, Sheila Heymans (Scottish Association for Marine Science, UK), Jeroen Steenbeek (Ecopath International Initiative research association, Spain), Eyal Ofir (Kinneret Limnological Laboratory, IORL, Israel) and Menachem Goren and Daphna DiSegni (Tel Aviv University, Israel). -
Variability of Large Marine Ecosystems in Response to Global Climate Change
Sherman et al. ICESCM 2007/D:20 ICES CM 2007/D:20 Variability of Large Marine Ecosystems in response to global climate change K. Sherman, I. Belkin, J. O’Reilly and K. Hyde Kenneth Sherman, John O’Reilly, Kimberly Hyde USDOC/NOAA, NMFS Narragansett Laboratory 28 Tarzwell Drive Narragansett, Rhode Island 02882 USA +1 401-782-3210 phone +1 401 782-3201 FAX [email protected] [email protected] [email protected] Igor Belkin Graduate School of Oceanography University of Rhode Island 215 South Ferry Road Narragansett, Rhode Island 02882 USA +1 401 874-6728 phone +1 401 874-6728 FAX [email protected] Abstract: A fifty year time series of sea surface temperature (SST) and time series on fishery yields are examined for emergent patterns relative to climate change. More recent SeaWiFS derived chlorophyll and primary productivity data were also included in the examination. Of the 64 LMEs examined, 61 showed an emergent pattern of SST increases from 1957 to 2006, ranging from mean annual values of 0.08°C to 1.35°C. The rate of surface warming in LMEs from 1957 to 2006 is 4 to 8 times greater than the recent estimate of the Japan Meteorological Society’s COBE estimate for the world oceans. Effects of SST warming on fisheries, climate change, and trophic cascading are examined. Concern is expressed on the possible effects of surface layer warming in relation to thermocline formation and possible inhibition of vertical nutrient mixing within the water column in relation to bottom up effects of chlorophyll and primary productivity on global fisheries resources. -
What Happened When Wolves Were Reintroduced to Yellowstone Park?
Trophic Cascades: What Happened When Wolves Were Reintroduced to Yellowstone Park? Lesson Question How did the reintroduction of wolves into Yellowstone Park affect the other animals and plants in the ecosystem? Lesson Tasks Students analyze data to determine the effect of wolves on Yellowstone’s elk population, on the plants that elk graze on, and on the animals that compete with elk for food. They write a report describing how the reintroduction of wolves has created a trophic cascade—not just a few direct changes in one food chain, but a series of indirect changes throughout the food web. Standards • HS-LS2-2 Ecosystems: Interactions, Energy, and Dynamics NGSS Science and Engineering Practices • Constructing Explanations and Designing Solutions • Engaging in Argument from Evidence • Evaluate the claims, evidence, and reasoning behind currently accepted explanations or solutions to determine the merits of arguments. NGSS Disciplinary Core Ideas • LS2.C: Ecosystem Dynamics, Functioning and Resilience • ETS1.B: Developing Possible Solutions Crosscutting Concepts • Stability and Change, Patterns Connections to Nature of Science • Scientific Knowledge is open to revision in light of new evidence. • Most scientific Knowledge is quite durable, but is, in principle, subject to change based on new evidence and/or reinterpretation of existing evidence. Trophic Cascades: What Happened When Wolves Were Reintroduced to Yellowstone Park? TABLE OF CONTENTS OVERVIEW ........................................................... 3 INVESTIGATION ............................................... -
Towards Integrative Management of the Gulf of Mexico Large Marine Ecosystem
Part Five SOCIOECONOMIC ASPECTS OF THE GULF OF MEXICO 622 TOWARDS INTEGRATED MANAGEMENT OF THE GULF OF MEXICO LARGE MARINE ECOSYSTEM Antonio Díaz-de-León, Porfirio Álvarez-Torres, Roberto Mendoza-Alfaro, José Ignacio Fernández-Méndez and Óscar Manuel Ramírez-Flores WORLD SUMMITS ON SUSTAINABLE DEVELOPMENT: RIO (1992) AND JOHANNESBURG (2002) The Gulf of Mexico is currently experiencing rapid environmental deterioration leading towards possible collapse on several different fronts. This ecosystem’s fragile productive chains are permanently compromised, leaving no use opportunities for future generations. Fisheries, forestry and coastal resources, as well as other production areas such as the oil industry, tourism and agriculture, have affected the ecosystem and also had their productivity affected. The multiple problems identified in the last few decades regarding the marine and coastal environments and the production activities conducted in the Gulf of Mexico are linked to a number of international agreements on resource and environmental conservation. Mexico was one of the signatories of such agreements, but actions to reverse the deterioration have been few and, in general, conducted in an isolated rather than integrated manner. At the 1992 Rio Earth Summit, the United Nations Conference on Environment and Development (UNCED) adopted resolutions on various aspects of significance for these ecosystems. However, advances of Agenda 21 on these matters have been slow. At present, the implementation of the Johannesburg Plan from the World Summit on Sustainable Development (WSSD), which made a call to the international community to “maintain the productivity and biodiversity of important and vulnerable coastal areas, including areas within and beyond national jurisdiction”, opens a window of opportunity for orienting specific actions promoting integrated management of marine and coastal resources and of river basins associated with the Gulf of Mexico. -
Evidence for Ecosystem-Level Trophic Cascade Effects Involving Gulf Menhaden (Brevoortia Patronus) Triggered by the Deepwater Horizon Blowout
Journal of Marine Science and Engineering Article Evidence for Ecosystem-Level Trophic Cascade Effects Involving Gulf Menhaden (Brevoortia patronus) Triggered by the Deepwater Horizon Blowout Jeffrey W. Short 1,*, Christine M. Voss 2, Maria L. Vozzo 2,3 , Vincent Guillory 4, Harold J. Geiger 5, James C. Haney 6 and Charles H. Peterson 2 1 JWS Consulting LLC, 19315 Glacier Highway, Juneau, AK 99801, USA 2 Institute of Marine Sciences, University of North Carolina at Chapel Hill, 3431 Arendell Street, Morehead City, NC 28557, USA; [email protected] (C.M.V.); [email protected] (M.L.V.); [email protected] (C.H.P.) 3 Sydney Institute of Marine Science, Mosman, NSW 2088, Australia 4 Independent Researcher, 296 Levillage Drive, Larose, LA 70373, USA; [email protected] 5 St. Hubert Research Group, 222 Seward, Suite 205, Juneau, AK 99801, USA; [email protected] 6 Terra Mar Applied Sciences LLC, 123 W. Nye Lane, Suite 129, Carson City, NV 89706, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-907-209-3321 Abstract: Unprecedented recruitment of Gulf menhaden (Brevoortia patronus) followed the 2010 Deepwater Horizon blowout (DWH). The foregone consumption of Gulf menhaden, after their many predator species were killed by oiling, increased competition among menhaden for food, resulting in poor physiological conditions and low lipid content during 2011 and 2012. Menhaden sampled Citation: Short, J.W.; Voss, C.M.; for length and weight measurements, beginning in 2011, exhibited the poorest condition around Vozzo, M.L.; Guillory, V.; Geiger, H.J.; Barataria Bay, west of the Mississippi River, where recruitment of the 2010 year class was highest. -
CHAPTER 5 Ecopath with Ecosim: Linking Fisheries and Ecology
CHAPTER 5 Ecopath with Ecosim: linking fi sheries and ecology V. Christensen Fisheries Centre, University of British Columbia, Canada. 1 Why ecosystem modeling in fi sheries? Fifty years ago, fi sheries science emerged as a quantitative discipline with the publication of Ray Beverton and Sidney Holt’s [1] seminal volume On the Dynamics of Exploited Fish Populations. This book provided the foundation for how to manage fi sheries and was based on detailed, mathe- matical analyses of the dynamics of individual fi sh populations, of how they grow and how they are affected by fi shing. Fisheries science has developed and matured since then, and remarkably much of what has been achieved are modifi cations and further developments of what Beverton and Holt introduced. Given then that fi sheries science has developed to become one of the most data-rich, quantita- tive fi elds in ecology [2], how well has it fared? We often see fi sheries issues in the headlines and usually in a negative context and there are indeed many threats to the sustainability of ocean resources [3]. Many, judging not the least from newspaper headlines, consider fi sheries manage- ment a usual suspect in connection with fi sheries collapses. This may lead one to suspect that there is a problem with the science, but I hold this to be an erroneous conclusion. It should be stressed that the main problem is not to be found in the computational aspects of the science, but rather in how management advice actually is implemented in praxis [4]. The major force in fi sh- eries throughout the world is excessive fi shing capacity; the days with unexploited resources and untapped oceans are over [5], and the fi shing industry is now relying heavily on subsidies to keep the machinery going [6]. -
OCN 201 Spring 2011 Exam 3 (75 Pts) True Or False (1 Pt Each)
Name:________________________ Exam: ____A____ ID: ______________________________ OCN 201 Spring 2011 Exam 3 (75 pts) True or False (1 pt each). A = TRUE; B = FALSE 1. According to the “serial endosymbiosis theory”, prokaryotes developed when eukaryotes lost their organelles. 2. The aphotic zone of the ocean is in the epipelagic. 3. Amino acids (one of the building blocks of life) have been found in meteorites. 4. Bioluminescence occurs only in the deep sea. 5. Phytoplankton are photoautotrophs. 6. Marine snow is a source of organic carbon to the deep sea. 7. Tropical oceans have very low productivity for most of the year because they frequently mix below the critical depth year-round. 8. Larger organisms are more abundant than smaller ones in the ocean. 9. Ctenophores (comb jellies) propel themselves by pulsing their bell, just like jellyfish. 10. Corals have only one opening to their digestive cavity. 11. Many animals in the very deep sea are red or black. 12. The “deep scattering layer” moves toward the sea surface during the day. 13. In fisheries, the maximum sustainable yield is the amount of fish that must be caught to keep up with the current rate of inflation. 14. Geological evidence indicates that life on earth began at least 3.5 billion years ago. 15. Light and nutrients are the two main things limiting primary productivity in the ocean. 16. Areas of the ocean with upwelling tend to have high productivity. 17. Some bacteria are photoautotrophs. p. 1 of 6 18. Nudibranchs are a type of flatworm 19. Whales are nekton. 20. -
Chapter 36D. South Pacific Ocean
Chapter 36D. South Pacific Ocean Contributors: Karen Evans (lead author), Nic Bax (convener), Patricio Bernal (Lead member), Marilú Bouchon Corrales, Martin Cryer, Günter Försterra, Carlos F. Gaymer, Vreni Häussermann, and Jake Rice (Co-Lead member and Editor Part VI Biodiversity) 1. Introduction The Pacific Ocean is the Earth’s largest ocean, covering one-third of the world’s surface. This huge expanse of ocean supports the most extensive and diverse coral reefs in the world (Burke et al., 2011), the largest commercial fishery (FAO, 2014), the most and deepest oceanic trenches (General Bathymetric Chart of the Oceans, available at www.gebco.net), the largest upwelling system (Spalding et al., 2012), the healthiest and, in some cases, largest remaining populations of many globally rare and threatened species, including marine mammals, seabirds and marine reptiles (Tittensor et al., 2010). The South Pacific Ocean surrounds and is bordered by 23 countries and territories (for the purpose of this chapter, countries west of Papua New Guinea are not considered to be part of the South Pacific), which range in size from small atolls (e.g., Nauru) to continents (South America, Australia). Associated populations of each of the countries and territories range from less than 10,000 (Tokelau, Nauru, Tuvalu) to nearly 30.5 million (Peru; Population Estimates and Projections, World Bank Group, accessed at http://data.worldbank.org/data-catalog/population-projection-tables, August 2014). Most of the tropical and sub-tropical western and central South Pacific Ocean is contained within exclusive economic zones (EEZs), whereas vast expanses of temperate waters are associated with high seas areas (Figure 1).