Priority areas for the conservation of the fish fauna of the Amazon Estuary in Brazil: A multicriteria approach

Abstract The definition of priority areas for the conservation of fish faunas is still relatively incipient in comparison with efforts for the protection of terrestrial systems, despite the fact that fishes are the group of organisms most affected by anthropogenic impacts. Given the lack of adequate management in the most important sectors of the Amazon Estuary, the objectives of the present study were to identify priority areas for conservation, based on the analysis of ecological and economic criteria, and indices referencing the fish fauna, integrated in a GIS environment. This was the first application of a methodological approach of this kind to the Amazon Estuary. Fish specimens were collected in the main channel and tidal creeks of the southern Amazon Estuary – Guajara and Marajo Bays and the mouth of the Guama River and associated islands – between 2004 and 2011, during both the dry (July to December) and rainy seasons (January to June), using gillnets and trawls. A total of 14 ecological and fishery criteria were grouped in five indices – environmental quality and diversity, habitat use, fishery index, and relative abundance (CPUE). Maps were produced, based on different scenarios for the conservation of the fish fauna of the study area. Medium to high conservation priorities were defined by all the indices throughout the study area. The scenarios indicated that the northern portion of Marajo Bay and all sectors during the dry season present medium to very high priorities for conservation.

[1]  R. H. Meade,et al.  Sediment loads in the Amazon River , 1979, Nature.

[2]  Roberta Averna Valente,et al.  Definition of priority areas for forest conservation through the ordered weighted averaging method , 2008 .

[3]  Jane Law,et al.  Review: The use of geographic information systems in wind turbine and wind energy research , 2012 .

[4]  A. C. Mendes,et al.  Characterization of sedimentary deposits at the confluence of two tributaries of the Pará River estuary (Guajará Bay, Amazon) , 2009 .

[5]  Joanna B. Whittier,et al.  Defining conservation priorities for freshwater fishes according to taxonomic, functional, and phylogenetic diversity , 2011 .

[6]  José Lima de Figueiredo,et al.  Manual de peixes marinhos do sudeste do Brasil , 1977 .

[7]  S. Garcia,et al.  Sustainability reference systems and indicators for responsible marine capture fisheries: a review of concepts and elements for a set of guidelines , 2000 .

[8]  Jyrki Kangas,et al.  Integrating spatial multi-criteria evaluation and expert knowledge for GIS-based habitat suitability modelling , 2001 .

[9]  F. Cervigón Los peces marinos de Venezuela , 1967 .

[10]  Michael Elliott,et al.  The guild approach to categorizing estuarine fish assemblages: a global review , 2007 .

[11]  Aea Vazzoler,et al.  Biologia da reprodução de peixes teleósteos: Teoria e prática , 1996 .

[12]  Stuart Banks,et al.  Global conservation outcomes depend on marine protected areas with five key features , 2014, Nature.

[13]  F. L. Frédou,et al.  Measuring the ecological integrity of an industrial district in the Amazon estuary, Brazil. , 2012, Marine pollution bulletin.

[14]  K. Able,et al.  Salt marshes as nurseries for nekton: testing hypotheses on density, growth and survival through meta-analysis , 2003 .

[15]  Serge M. Garcia,et al.  The FAO guidelines for the development and use of indicators for sustainable development of marine capture fisheries and an Australian example of their application , 2000 .

[16]  Jane Elith,et al.  A method for spatial freshwater conservation prioritization , 2008 .

[17]  Thomas M. Lewinsohn,et al.  Endemic vertebrates are the most effective surrogates for identifying conservation priorities among Brazilian ecoregions , 2007 .

[18]  W. Darwall,et al.  Identifying important sites for conservation of freshwater biodiversity: extending the species‐based approach , 2005 .

[19]  Ilpo Tammi,et al.  Spatial MCDA in marine planning: Experiences from the Mediterranean and Baltic Seas , 2014 .

[20]  C. Szlafsztein,et al.  A socioeconomic and natural vulnerability index for oil spills in an Amazonian harbor: a case study using GIS and remote sensing. , 2010, Journal of environmental management.

[21]  C. Rahbek,et al.  Performance of Sub‐Saharan Vertebrates as Indicator Groups for Identifying Priority Areas for Conservation , 2003 .

[22]  H. Possingham,et al.  Addressing longitudinal connectivity in the systematic conservation planning of fresh waters , 2011 .

[23]  Kevin J. Gaston,et al.  Capturing biodiversity: selecting priority areas for conservation using different criteria , 2005, Biodiversity & Conservation.

[24]  K. A. N. Adiat,et al.  Assessing the accuracy of GIS-based elementary multi criteria decision analysis as a spatial prediction tool – A case of predicting potential zones of sustainable groundwater resources , 2012 .

[25]  R. Hilborn,et al.  Integrating marine protected areas with catch regulation , 2006 .

[26]  V. Stelzenmüller,et al.  Spatial assessment of benefits of a coastal Mediterranean Marine Protected Area , 2007 .

[27]  Jyrki Kangas,et al.  Improving the quality of landscape ecological forest planning by utilising advanced decision-support tools , 2000 .

[28]  Joanna Burger,et al.  Conflict resolution in coastal waters: the case of personal watercraft , 2000 .

[29]  F. Douvere,et al.  The role of marine spatial planning in sea use management: the Belgian case , 2007 .

[30]  S. Blaber Tropical Estuarine Fishes: Ecology, Exploitation and Conservation , 2000 .

[31]  Maurício T. A. Camargo,et al.  Os peixes estuarinos da regiao norte do Brasil: lista de especies e consideracoes sobre sua distribuicao geografica , 2001 .

[32]  S. Sarkar,et al.  Systematic conservation planning , 2000, Nature.

[33]  John Buonaccorsi,et al.  Development and validation of an estuarine biotic integrity index , 1997 .

[34]  Ron Store,et al.  A GIS-based multi-scale approach to habitat suitability modeling , 2003 .

[35]  T. Frédou,et al.  Fish fauna as an indicator of environmental quality in an urbanised region of the Amazon estuary. , 2010, Journal of fish biology.

[36]  R. H. Meade,et al.  World-Wide Delivery of River Sediment to the Oceans , 1983, The Journal of Geology.

[37]  R. Brodeur,et al.  Identifying and characterizing biological hotspots in the northern California Current , 2006 .

[38]  D. M. Oliveira,et al.  CARACTERIZAÇÃO E DINÂMICA ESPAÇO-TEMPORAL DA ATIVIDADE PESQUEIRA NA BAÍA DE MARAJÓ – ESTUÁRIO AMAZÔNICO , 2011 .

[39]  K. Able Ichthyoplankton of the St. Lawrence Estuary: Composition, Distribution, and Abundance , 1978 .

[40]  Jacek Malczewski,et al.  GIS‐based multicriteria decision analysis: a survey of the literature , 2006, Int. J. Geogr. Inf. Sci..

[41]  J. L. Gittleman,et al.  Latent extinction risk and the future battlegrounds of mammal conservation. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[42]  Jacek Malczewski,et al.  Multicriteria spatial allocation of educational resources: an overview , 2000 .

[43]  G. Bonham-Carter Geographic Information Systems for Geoscientists: Modelling with GIS , 1995 .

[44]  V. Isaac,et al.  The artisanal fishery fleet of the lower Amazon , 2008 .

[45]  P. Laffaille,et al.  Composition of Fish Communities in a European Macrotidal Salt Marsh (the Mont Saint-Michel Bay, France) , 2000 .

[46]  Ramón Margalef,et al.  Información y diversidad específica en las comunidades de organismos , 1956 .

[47]  Suzana Dragicevic,et al.  GIS-Based Multicriteria Evaluation and Fuzzy Sets to Identify Priority Sites for Marine Protection , 2006, Biodiversity and Conservation.

[48]  Lynnath E. Beckley,et al.  Priority areas for conservation of Western Australian coastal fishes: A comparison of hotspot, biogeographical and complementarity approaches , 2005 .

[49]  H. Cabral,et al.  Efficacy of adapted estuarine fish-based multimetric indices as tools for evaluating ecological status of the marine environment. , 2008, Marine pollution bulletin.

[50]  A. Magurran Ecological Diversity and Its Measurement , 1988, Springer Netherlands.

[51]  Arthur O Tuda,et al.  Resolving coastal conflicts using marine spatial planning. , 2014, Journal of environmental management.

[52]  C. Medeiros,et al.  Physical oceanographic behavior at the Guama/Acara-moju and the Paracauari river mouths, Amazon Coast (Brazil) , 2011 .

[53]  Pedro Walfir Martins e Souza Filho,et al.  Costa de manguezais de macromaré da Amazônia: cenários morfológicos, mapeamento e quantificação de áreas usando dados de sensores remotos , 2005 .

[54]  P. Bail,et al.  Atlas des poissons d'eau douce de Guyane , 1997 .

[55]  Jacek Malczewski,et al.  A. GIS-Based Approach to Multiple Criteria Group Decision-Making , 1996, Int. J. Geogr. Inf. Sci..

[56]  H. Rosenthal,et al.  Tidal and diel changes in the structure of a nekton assemblage in small intertidal mangrove creeks in northern Brazil , 2004 .

[57]  C. Summerhayes,et al.  Oceanography and Suspended Matter Off the Amazon River February-March 1973 , 1975 .

[58]  R. Barthem Ocorrencia, distribuicao e biologia dos peixes da baia de marajo, estuario amazonico , 1985 .

[59]  C. Roberts,et al.  Benefits beyond boundaries: the fishery effects of marine reserves , 2003 .

[60]  Rainer Froese,et al.  FishBase. World Wide Web electronic publication. , 2014 .

[61]  S. Blaber ‘Fish in hot water”: the challenges facing fish and fisheries research in tropical estuaries , 2002 .

[62]  Adel Gastli,et al.  Wind farm land suitability indexing using multi-criteria analysis , 2012 .