Ecosystem-Based Implementation of Management in Marine Capture Fisheries
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Select Terrestrial, Freshwater and Marine Conservation Targets/Biodiversity Elements/Features Across Multiple Biological and Spatial Scales
Standard 7: Select terrestrial, freshwater and marine conservation targets/biodiversity elements/features across multiple biological and spatial scales. [plan] Rationale It is necessary to define a subset of targets that best represent the biodiversity of an ecoregion to focus the assessment. Conservation targets should cover the suite of biological scales (species to communities, ecological systems and other targets), taxa, and ecological characteristics to adequately inform comprehensive biodiversity conservation. Targets should include coarse and fine filter targets. This includes using rare and endangered, wide ranging, migratory and keystone species, rare communities, and all ecological systems and/or ecosystem types, as well as additional targets that are useful in capturing the variety of biodiversity characteristics, scales and ecological processes. Recommended Products ,,,List, and attributes of fine-filter targets such as distribution (local, widespread), conservation status (threatened and endangered), endemic, wide-ranging, rare communities and coarse-filter targets (ecological systems and ecosystems) as well as other types of targets as appropriate. See the Ecoregional Assessment Data Standards 1.0 for required fields. Maps of occurrences of targets throughout the ecoregion. Description of data gaps for specific target groups and geographic areas. GUIDANCE A systematic approach to conservation planning demands that we be explicit about what features of biodiversity we are trying to conserve (Groves 2003). With the goal of conserving the biodiversity of an ecoregion, we need to define a subset of features to work with that will adequately capture that representation and variety. We refer to these features as conservation targets (Redford et al. 2003). Conservation targets are the species, communities, ecological systems 1 and surrogates that we focus our assessments on in order to capture the broad range of biodiversity as best we can. -
Fronts in the World Ocean's Large Marine Ecosystems. ICES CM 2007
- 1 - This paper can be freely cited without prior reference to the authors International Council ICES CM 2007/D:21 for the Exploration Theme Session D: Comparative Marine Ecosystem of the Sea (ICES) Structure and Function: Descriptors and Characteristics Fronts in the World Ocean’s Large Marine Ecosystems Igor M. Belkin and Peter C. Cornillon Abstract. Oceanic fronts shape marine ecosystems; therefore front mapping and characterization is one of the most important aspects of physical oceanography. Here we report on the first effort to map and describe all major fronts in the World Ocean’s Large Marine Ecosystems (LMEs). Apart from a geographical review, these fronts are classified according to their origin and physical mechanisms that maintain them. This first-ever zero-order pattern of the LME fronts is based on a unique global frontal data base assembled at the University of Rhode Island. Thermal fronts were automatically derived from 12 years (1985-1996) of twice-daily satellite 9-km resolution global AVHRR SST fields with the Cayula-Cornillon front detection algorithm. These frontal maps serve as guidance in using hydrographic data to explore subsurface thermohaline fronts, whose surface thermal signatures have been mapped from space. Our most recent study of chlorophyll fronts in the Northwest Atlantic from high-resolution 1-km data (Belkin and O’Reilly, 2007) revealed a close spatial association between chlorophyll fronts and SST fronts, suggesting causative links between these two types of fronts. Keywords: Fronts; Large Marine Ecosystems; World Ocean; sea surface temperature. Igor M. Belkin: Graduate School of Oceanography, University of Rhode Island, 215 South Ferry Road, Narragansett, Rhode Island 02882, USA [tel.: +1 401 874 6533, fax: +1 874 6728, email: [email protected]]. -
Benthic Macrofaunal Structure and Secondary Production in Tropical Estuaries on the Eastern Marine Ecoregion of Brazil
Benthic macrofaunal structure and secondary production in tropical estuaries on the Eastern Marine Ecoregion of Brazil Lorena B. Bissoli and Angelo F. Bernardino Grupo de Ecologia Bêntica, Department of Oceanography, Universidade Federal do Espírito Santo, Vitoria, ES, Brazil ABSTRACT Tropical estuaries are highly productive and support diverse benthic assemblages within mangroves and tidal flats habitats. Determining differences and similarities of benthic assemblages within estuarine habitats and between regional ecosystems may provide scientific support for management of those ecosystems. Here we studied three tropical estuaries in the Eastern Marine Ecoregion of Brazil to assess the spatial variability of benthic assemblages from vegetated (mangroves) and unvegetated (tidal flats) habitats. A nested sampling design was used to determine spatial scales of variability in benthic macrofaunal density, biomass and secondary production. Habitat differences in benthic assemblage composition were evident, with mangrove forests being dominated by annelids (Oligochaeta and Capitellidae) whereas peracarid crustaceans were also abundant on tidal flats. Macrofaunal biomass, density and secondary production also differed between habitats and among estuaries. Those differences were related both to the composition of benthic assemblages and to random spatial variability, underscoring the importance of hierarchical sampling in estuarine ecological studies. Given variable levels of human impacts and predicted climate change effects on tropical estuarine -
Overall Assessment of the State of the Coast in the Western Indian Ocean
36 Overall Assessment of the State of the Coast in the Western Indian Ocean José Paula Opposite page: Will the marine resources these girls collect in the tidal flats near Ulo village, north Mozambique, be available in the future for food security or will they benefit from economic development and depend on modern amenities instead? © José Paula. INTRODUCTION Pacific biogeographic realm, but its southwest limit enters the Temperate Southern Africa biogeographic realm This chapter offers an overall view of the state of the coast (Spalding and others, 2007). The WIO region presents such in the western Indian Ocean (WIO), by integrating the four uniqueness of features that render it a structural and func- sectorial assessments and following the Drivers – Pressures tional unity within the world global ocean (Obura and oth- – State – Impact – Response (DPSIR) methodology. It ers, 2012). The main portion of WIO region is also referred analyses the current condition of ecosystems, resources, to as the Eastern African Marine Ecoregion (WWF 2001). services and human activities and their expected evolution Geomorphological and oceanographic features define (state and trends) in response to root causes that drive change the character of the WIO (see detailed description in Chap- (drivers), further highlighting the ways these factors act on ter 1). The bathymetric structure influences water flows the environment and human related dependencies (pres- (Parson and Evans 2005), modulating the ecosystems’ sures) and their expected outcome on the environment and large-scale mosaics and associated biodiversity (Obura and livelihoods (impacts). Human societies adapt by acting on others, 2012). The main oceanographic features are the the drivers and pressures (responses) to mitigate impacts, monsoonal regime in the northern WIO and the equatorial aiming to maintain state of the environment or reverse current that diverges close to the mainland and produces negative trends. -
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. -
Characteristics of the Bohai Sea Oil Spill and Its Impact on the Bohai Sea Ecosystem
Article SPECIAL TOPIC: Change of Biodiversity Patterns in Coastal Zone July 2013 Vol.58 No.19: 22762281 doi: 10.1007/s11434-012-5355-0 SPECIAL TOPICS: Characteristics of the Bohai Sea oil spill and its impact on the Bohai Sea ecosystem GUO Jie1,2,3*, LIU Xin1,2,3 & XIE Qiang4,5 1 Key Laboratory of Coastal Zone Environmental Processes, Chinese Academy of Sciences, Yantai 264003, China; 2 Shandong Provincial Key Laboratory of Coastal Zone Environmental Processes, Yantai 264003, China; 3 Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; 4 State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China; 5 Sanya Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya 572000, China Received April 26, 2012; accepted June 11, 2012; published online July 16, 2012 In this paper, ENVISAT ASAR data and the Estuary, Coastal and Ocean Model was used to analyze and compare characteristics of the Bohai Sea oil spill. The oil slicks have spread from the point of the oil spill to the east and north-western Bohai Sea. We make a comparison between the changes caused by the oil spill on the chlorophyll concentration and the sea surface temperature using MODIS data, which can be used to analyze the effect of the oil spill on the Bohai Sea ecosystem. We found that the Bohai Sea oil spill caused abnormal chlorophyll concentration distributions and red tide nearby area of oil spill. ENVISAT ASAR, MODIS, oil spill, chlorophyll, sea surface temperature Citation: Guo J, Liu X, Xie Q. -
The Great Sea Reef Weaving Together Communities for Conservation
CASE STUDY FIJI 2017 THE GREAT SEA REEF WEAVING TOGETHER COMMUNITIES FOR CONSERVATION Weaving together communities for conservation page 1 WWF-PACIFIC VISION Our vision is for empowered and resilient Pacific island CONTENts communities living our unique culture to conserve and manage our ocean, forests and rivers for improved food security, human well-being and a sustainable future. CAKAULEVu – FIJI’S HIDDEN GEM 5 PROTECTING CAKAULEVu – eVERYONE’S BUSINESS 10 WWF MISSION WWF’s mission is to stop the degradation of the planet’s natural environment and to TOOLS AND AppROACHEs – 12 BEYOND SMALL TABU AREAS build a future in which humans live in harmony with nature by : • Conserving the world’s biological diversity; Marine Protected Areas – the tabu system 12 • Ensuring that the use of renewable natural resources is sustainable; The Fiji Locally Managed Marine Area Network (FLMMA) 12 • Promoting the reduction of pollution and wasteful consumption. ________________________________ Turtle Monitors – from hunter to guardian 14 Text compiled by Seema Deo. Sustainable Fisheries — setting smarter limits 15 Layout and Graphics by Kalo Williams. Raising the Fish Value — improving postharvest handling 16 SPECIAL THANKS TO WWF staff Kesaia Tabunakawai, Jackie Thomas, Qela Waqabitu, Tui Marseu, and Vilisite Tamani, for providing information for the report. Sustainable Seafood — a reef-to-resort approach 17 Exploring Alternatives to Fisheries — 18 Published in April 2017 by WWF-Pacific, World Wide Fund For Nature, Suva, Fiji. support through microfinancing Any reproduction in full or in part must mention the title and credit as the copyright owner. Women in Fisheries — building a business approach 18 © Text 2017 WWF Pacific. -
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.