Geospatial approaches to support pelagic conservation planning and adaptive management

Place-based management in the open ocean faces unique challenges in delineating boundaries around temporally and spatially dynamic systems that span broad geographic scales and multiple management jurisdictions, especially in the ‘high seas’. Geospatial technologies are critical for the successful design of pelagic conservation areas, because they provide information on the spatially and temporally dynamic oceanographic features responsible for driving species distribution and abundance in the open ocean, the movements of protected species, and the spatial patterns of distribution of potential threats. Nevertheless, there are major challenges to implementing these geospatial approaches in the open ocean. This Theme Section seeks to bridge the gap between geospatial science and marine conservation by discussing the use of innovative approaches to support effective marine conservation planning strategies for pelagic ecosystems. We highlight the results of this collection of contributions in 3 main sections: (1) conceptual advances in pelagic conservation; (2) novel information technologies and methodologies; and (3) case studies in the California Current and Pacific Ocean.

[1]  Dana K. Briscoe,et al.  Are we missing important areas in pelagic marine conservation? Redefining conservation hotspots in the ocean , 2016 .

[2]  D. Rudnick.  Ocean Research Enabled by Underwater Gliders. , 2016, Annual review of marine science.

[3]  R. Helber,et al.  Physical oceanography of fronts: An editorial , 2015 .

[4]  Alistair J. Hobday,et al.  Dynamic ocean management: Defining and conceptualizing real-time management of the ocean , 2015 .

[5]  Momme Butenschön,et al.  Building the capacity for forecasting marine biogeochemistry and ecosystems: recent advances and future developments , 2015 .

[6]  D. Foley,et al.  Habitat-based models of cetacean density and distribution in the central North Pacific , 2015 .

[7]  G. Haller.  Lagrangian Coherent Structures , 2015 .

[8]  Julie Howar,et al.  Where the whales are: using habitat modeling to support changes in shipping regulations within National Marine Sanctuaries in Central California , 2014 .

[9]  Sara M. Maxwell,et al.  Pragmatic approaches for effective management of pelagic marine protected areas , 2014 .

[10]  Alistair J. Hobday,et al.  Better integration of sectoral planning and management approaches for the interlinked ecology of the open oceans , 2014 .

[11]  Amanda E. Cravens,et al.  A practical approach for putting people in ecosystem‐based ocean planning , 2014 .

[12]  P. Posey,et al.  US Navy Operational Global Ocean and Arctic Ice Prediction Systems , 2014 .

[13]  John N. Kittinger,et al.  Current Practice and Future Prospects for Social Data in Coastal and Ocean Planning , 2014, Conservation biology : the journal of the Society for Conservation Biology.

[14]  P. Halpin,et al.  Spatio-temporal assessments of biodiversity in the high seas , 2014 .

[15]  Peter T. Harris,et al.  Geomorphology of the oceans , 2014 .

[16]  P. Auster,et al.  Geospatial analysis of habitat use by silver hake Merluccius bilinearis in the Gulf of Maine , 2014 .

[17]  S. T. Buckland,et al.  Prioritizing global marine mammal habitats using density maps in place of range maps , 2014 .

[18]  T. J. Moore,et al.  Predicting seasonal density patterns of California cetaceans based on habitat models , 2014 .

[19]  Robert J Toonen,et al.  One size does not fit all: the emerging frontier in large-scale marine conservation. , 2013, Marine pollution bulletin.

[20]  Sara M. Maxwell,et al.  On the front line: integrated habitat mapping for olive ridley sea turtles in the southeast Atlantic , 2013 .

[21]  John N. Kittinger,et al.  Progress and promise in spatial human dimensions research for ecosystem-based ocean planning , 2013 .

[22]  Helen Bailey,et al.  Cumulative human impacts on marine predators , 2013, Nature Communications.

[23]  Michael J. Fogarty,et al.  Marine Taxa Track Local Climate Velocities , 2013, Science.

[24]  J. Dunne,et al.  Climate-induced primary productivity change and fishing impacts on the Central North Pacific ecosystem and Hawaii-based pelagic longline fishery , 2013, Climatic Change.

[25]  Scott A. Shaffer,et al.  Predicted habitat shifts of Pacific top predators in a changing climate , 2013 .

[26]  Alexander Ignatov,et al.  Group for High Resolution Sea Surface temperature (GHRSST) analysis fields inter-comparisons. Part 1: A GHRSST multi-product ensemble (GMPE) , 2012 .

[27]  Jason J. Roberts,et al.  Reproductive output and duration of the pelagic larval stage determine seascape-wide connectivity of marine populations. , 2012, Integrative and comparative biology.

[28]  Sarah C. Klain,et al.  Navigating Coastal Values: Participatory Mapping of Ecosystem Services for Spatial Planning , 2012 .

[29]  D. Steinke,et al.  A Census of Fishes and Everything They Eat: How the Census of Marine Life Advanced Fisheries Science , 2012 .

[30]  Lucie Hazen,et al.  Online cetacean habitat modeling system for the US east coast and Gulf of Mexico , 2012 .

[31]  J. Santora,et al.  New approach for using remotely sensed chlorophyll a to identify seabird hotspots , 2012 .

[32]  Carrie V. Kappel,et al.  Ecosystem service tradeoff analysis reveals the value of marine spatial planning for multiple ocean uses , 2012, Proceedings of the National Academy of Sciences.

[33]  Jay Barlow,et al.  Forecasting cetacean abundance patterns to enhance management decisions , 2012 .

[34]  Steven J. Bograd,et al.  The Making of a Productivity Hotspot in the Coastal Ocean , 2011, PloS one.

[35]  D. Chelton,et al.  Global observations of nonlinear mesoscale eddies , 2011 .

[36]  K. M. Schaefer,et al.  Tracking apex marine predator movements in a dynamic ocean , 2011, Nature.

[37]  Chris Field,et al.  Mapping species richness and human impact drivers to inform global pelagic conservation prioritisation , 2011 .

[38]  A. Rogers,et al.  The global distribution of seamounts based on 30 arc seconds bathymetry data , 2011 .

[39]  S. Claus,et al.  Analysing the content of the European Ocean Biogeographic Information System (EurOBIS): available data, limitations, prospects and a look at the future , 2011, Hydrobiologia.

[40]  S. Hooker,et al.  Making protected area networks effective for marine top predators , 2011 .

[41]  A. Boustany,et al.  Spatio-temporal management of fisheries to reduce by-catch and increase fishing selectivity: Spatio-temporal by-catch management , 2011 .

[42]  David C. Smith,et al.  Human behaviour: the key source of uncertainty in fisheries management , 2011 .

[43]  Richard M Cowling,et al.  Mapping Human and Social Dimensions of Conservation Opportunity for the Scheduling of Conservation Action on Private Land , 2010, Conservation biology : the journal of the Society for Conservation Biology.

[44]  Daniel C. Dunn,et al.  Marine Geospatial Ecology Tools: An integrated framework for ecological geoprocessing with ArcGIS, Python, R, MATLAB, and C++ , 2010, Environ. Model. Softw..

[45]  Patrick N. Halpin,et al.  Spatio-Temporal Gap Analysis of OBIS-SEAMAP Project Data: Assessment and Way Forward , 2010, PloS one.

[46]  R. Smith,et al.  Comparing California Current cetacean-habitat models developed using in situ and remotely sensed sea surface temperature data , 2010 .

[47]  S. Maritorena,et al.  Merged satellite ocean color data products using a bio-optical model: Characteristics, benefits and issues , 2010 .

[48]  Thomas J. Webb,et al.  Biodiversity's Big Wet Secret: The Global Distribution of Marine Biological Records Reveals Chronic Under-Exploration of the Deep Pelagic Ocean , 2010, PloS one.

[49]  Roberto Danovaro,et al.  A Census of Marine Biodiversity Knowledge, Resources, and Future Challenges , 2010, PloS one.

[50]  Scott A. Shaffer,et al.  Hawaiian albatrosses track interannual variability of marine habitats in the North Pacific , 2010 .

[51]  Rainer Froese,et al.  Predicting the distributions of marine organisms at the global scale , 2010 .

[52]  Carissa J. Klein,et al.  Spatial socioeconomic data as a cost in systematic marine conservation planning , 2009 .

[53]  F. Douvere,et al.  Marine spatial planning: a step-by-step approach toward ecosystem based management , 2009 .

[54]  Sylvie Pouliquen,et al.  Data assembly and processing for operational oceanography: 10 years of achievements [In: Special Issue on the Revolution of Global Ocean Forecasting - GODAE: 10 Years of Achievement] , 2009 .

[55]  H. Possingham,et al.  Pelagic protected areas: the missing dimension in ocean conservation. , 2009, Trends in ecology & evolution.

[56]  Jesse Cleary,et al.  OBIS-SEAMAP: The World Data Center for Marine Mammal, Sea Bird, and Sea Turtle Distributions , 2009 .

[57]  S. Riser,et al.  The Argo Program : observing the global ocean with profiling floats , 2009 .

[58]  Henri Weimerskirch,et al.  Top marine predators track Lagrangian coherent structures , 2009, Proceedings of the National Academy of Sciences.

[59]  Daniel C. Dunn,et al.  A comparison of methods to spatially represent pelagic longline fishing effort in catch and bycatch studies , 2008 .

[60]  B. Kendall,et al.  Striking a Balance between Biodiversity Conservation and Socioeconomic Viability in the Design of Marine Protected Areas , 2008, Conservation biology : the journal of the Society for Conservation Biology.

[61]  R. Myneni,et al.  Valuing ecosystem services: A shadow price for net primary production , 2007 .

[62]  Patrick N. Halpin,et al.  Geospatial web services within a scientific workflow: Predicting marine mammal habitats in a dynamic environment , 2007, Ecol. Informatics.

[63]  M. B. Hassen,et al.  AfrOBIS: a marine biogeographic information system for sub-Saharan Africa , 2007 .

[64]  S. Polasky,et al.  Integrating economic costs into conservation planning. , 2006, Trends in ecology & evolution.

[65]  Jingyun Fang,et al.  Biodiversity in China's mountains , 2006 .

[66]  Huai-Min Zhang,et al.  Assessment of composite global sampling: Sea surface wind speed , 2006 .

[67]  Hugh P Possingham,et al.  Sensitivity of Marine‐Reserve Design to the Spatial Resolution of Socioeconomic Data , 2006, Conservation biology : the journal of the Society for Conservation Biology.

[68]  Larry B. Crowder,et al.  OBIS-SEAMAP: developing a biogeographic research data commons for the ecological studies of marine mammals, seabirds, and sea turtles , 2006 .

[69]  D. Costa,et al.  A database for the study of marine mammal behavior: gap analysis, data standardization, and future directions , 2006, IEEE Journal of Oceanic Engineering.

[70]  Robert M. Suryan,et al.  Foraging destinations and marine habitat use of short-tailed albatrosses: A multi-scale approach using first-passage time analysis , 2006 .

[71]  Franklin B. Schwing,et al.  Oceanographic characteristics of biological hot spots in the North Pacific: A remote sensing perspective , 2006 .

[72]  S. Lourie,et al.  Using Biogeography to Help Set Priorities in Marine Conservation , 2004 .

[73]  S. Andelman,et al.  COMPARING MARINE AND TERRESTRIAL ECOSYSTEMS: IMPLICATIONS FOR THE DESIGN OF COASTAL MARINE RESERVES , 2003 .

[74]  N. A. Sloan,et al.  History and Application of the Wilderness Concept in Marine Conservation , 2002 .

[75]  Kevin St. Martin,et al.  Making Space for Community Resource Management in Fisheries , 2001 .

[76]  P. Dayton,et al.  Marine protected areas and ocean basin management , 2000 .

[77]  K. Gaston.  Global patterns in biodiversity , 2000, Nature.

[78]  S. Levin.  Patchiness in marine and terrestrial systems: from individuals to populations , 1994 .

[79]  P. Woodworth,et al.  Changes in the mesoscale variability and in extreme sea levels over two decades as observed by satellite altimetry , 2015 .

[80]  J. Jahncke,et al.  Relative influence of static and dynamic features on black‐footed albatross (Phoebastria nigripes) habitat use in central California Sanctuaries , 2014 .

[81]  Alistair J. Hobday,et al.  Systematic Conservation Planning: A Better Recipe for Managing the High Seas for Biodiversity Conservation and Sustainable Use , 2014 .

[82]  Chuanmin Hu,et al.  Oceanic Chlorophyll-a Content , 2014 .

[83]  Timothy P. Boyer,et al.  World Ocean Database 2013. , 2013 .

[84]  J. Redfern,et al.  Predictive modeling of cetacean densities in the California current ecosystem based on summer/fall ship surveys in 1991-208 , 2012 .

[85]  Michael Johnson,et al.  The Global Ocean Observing Component of IOOS: Implementation of the Initial Global Ocean Observing System for Climate and the Path Forward , 2011 .

[86]  D. Wright,et al.  1.09 – Application of Estuarine and Coastal Classifications in Marine Spatial Management , 2011 .

[87]  Peter Cornillon,et al.  The Past, Present, and Future of the AVHRR Pathfinder SST Program , 2010 .

[88]  Mark New,et al.  Ensemble forecasting of species distributions. , 2007, Trends in ecology & evolution.

[89]  F. Grassle.  The Ocean Biogeographic Information System (OBIS): An On-line, Worldwide Atlas for Accessing, Modeling and Mapping Marine Biological Data in a Multidimensional Geographic Context , 2000 .