Daniel C Dunn
Duke University, Duke University Marine Lab, Faculty Member
Research Interests:
Research Interests:
Research Interests:
The impacts of climate change and the socioecological challenges they present are ubiquitous and increasingly severe. Practical efforts to operationalize climate-responsive design and management in the global network of marine protected... more
The impacts of climate change and the socioecological challenges they present are ubiquitous and increasingly severe. Practical efforts to operationalize climate-responsive design and management in the global network of marine protected areas (MPAs) are required to ensure long-term effectiveness for safeguarding marine biodiversity and ecosystem services. Here, we review progress in integrating climate change adaptation into MPA design and management and provide eight recommendations to expedite this process. Climate-smart management objectives should become the default for all protected areas, and made into an explicit international policy target. Furthermore, incentives to use more dynamic management tools would increase the climate change responsiveness of the MPA network as a whole. Given ongoing negotiations on international conservation targets, now is the ideal time to proactively reform management of the global seascape for the dynamic climate-biodiversity reality.
Research Interests:
The distributions of migratory species in the ocean span local, national and international jurisdictions. Across these ecologically interconnected regions, migratory marine species interact with anthropogenic stressors throughout their... more
The distributions of migratory species in the ocean span local, national and international jurisdictions. Across these ecologically interconnected regions, migratory marine species interact with anthropogenic stressors throughout their lives. Migratory connectivity, the geographical linking of individuals and populations throughout their migratory cycles, influences how spatial and temporal dynamics of stressors affect migratory animals and scale up to influence population abundance, distribution and species persistence. Population declines of many migratory marine species have led to calls for connectivity knowledge, especially insights from animal tracking studies, to be more systematically and synthetically incorporated into decision-making. Inclusion of migratory connectivity in the design of conservation and management measures is critical to ensure they are appropriate for the level of risk associated with various degrees of connectivity. Three mechanisms exist to incorporate ...
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
International interest in the protection and sustainable use of high seas biodiversity has grown in recent years. There is an opportunity for new technologies to enable improvements in management of these areas beyond national... more
International interest in the protection and sustainable use of high seas biodiversity has grown in recent years. There is an opportunity for new technologies to enable improvements in management of these areas beyond national jurisdiction. We explore the spatial ecology and drivers of the global distribution of the high seas longline fishing fleet by creating predictive models of the distribution of fishing effort from newly available automatic identification system (AIS) data. Our results show how longline fishing effort can be predicted using environmental variables, many related to the expected distribution of the species targeted by longliners. We also find that the longline fleet has seasonal environmental preferences (for example, increased importance of cooler surface waters during boreal summer) and may only be using 38 to 64% of the available environmentally suitable fishing habitat. Possible explanations include misclassification of fishing effort, incomplete AIS coverage...
Research Interests:
Mineral exploitation has spread from land to shallow coastal waters and is now planned for the offshore, deep seabed. Large seafloor areas are being approved for exploration for seafloor mineral deposits, creating an urgent need for... more
Mineral exploitation has spread from land to shallow coastal waters and is now planned for the offshore, deep seabed. Large seafloor areas are being approved for exploration for seafloor mineral deposits, creating an urgent need for regional environmental management plans. Networks of areas where mining and mining impacts are prohibited are key elements of these plans. We adapt marine reserve design principles to the distinctive biophysical environment of mid-ocean ridges, offer a framework for design and evaluation of these networks to support conservation of benthic ecosystems on mid-ocean ridges, and introduce projected climate-induced changes in the deep sea to the evaluation of reserve design. We enumerate a suite of metrics to measure network performance against conservation targets and network design criteria promulgated by the Convention on Biological Diversity. We apply these metrics to network scenarios on the northern and equatorial Mid-Atlantic Ridge, where contractors a...
Research Interests:
Sustained observations of marine biodiversity and ecosystems focused on specific conservation and management problems are needed around the world to effectively mitigate or manage changes resulting from anthropogenic pressures. These... more
Sustained observations of marine biodiversity and ecosystems focused on specific conservation and management problems are needed around the world to effectively mitigate or manage changes resulting from anthropogenic pressures. These observations, while complex and expensive, are required by the international scientific, governance and policy communities to provide baselines against which the effects of human pressures and climate change may be measured and reported, and resources allocated to implement solutions. To identify biological and ecological essential ocean variables (EOVs) for implementation within a global ocean observing system that is relevant for science, informs society, and technologically feasible, we used a driver-pressure-state-impact-response (DPSIR) model. We (1) examined relevant international agreements to identify societal drivers and pressures on marine resources and ecosystems, (2) evaluated the temporal and spatial scales of variables measured by 100+ obs...
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
The ocean is a dynamic environment with ocean currents and winds moving surface waters across large distances. Many animals that live in the ocean, particularly in offshore regions, are mobile in space and in time, as are most human... more
The ocean is a dynamic environment with ocean currents and winds moving surface waters across large distances. Many animals that live in the ocean, particularly in offshore regions, are mobile in space and in time, as are most human users. Spatial management responses have typically partitioned the ocean into different regions with fixed management boundaries; in some regions a particular activity may be forbidden; in another it may be permitted but regulated; and in others it may be allowed without any regulation. In contrast, dynamic ocean management (DOM) changes in space and time in response to the shifting nature of the ocean and its users. DOM techniques have been applied in a limited number of situations around the world, notably for fisheries, to regulate or restrict the capture of a particular marine species. DOM requires scientific, technological, management, legal, and policy capacity across a range of elements. The article outlines seven of these elements and describes r...
Research Interests:
Research Interests: Spatial Analysis, Fisheries, Ecology, Developing Country, Missing Data, and 10 moreFisheries Sciences, High Density Concrete, Artisanal Fishery, Regional Analysis, Linear Regression Model, ENVIRONMENTAL SCIENCE AND MANAGEMENT, Developing Regions, Fishing Effort, High density, and Regional Difference
Research Interests:
The conventional selectivity paradigm is briefly reviewed and its performance examined from an ecosystem perspective. It is stressed that the overall (cumulative) selectivity of the harvest process in an ecosystem is the result of nested... more
The conventional selectivity paradigm is briefly reviewed and its performance examined from an ecosystem perspective. It is stressed that the overall (cumulative) selectivity of the harvest process in an ecosystem is the result of nested selection by fishers and fisheries of:(i) habitats;(ii) species assemblages;(iii) populations and (iv) individuals. A range of ecosystem models predict a strong impact of concentrated fishing (selective fishing) on the ecosystem structure stability, resilience and productivity. There seem to be advantages (in ...
Research Interests:
Dynamic ocean management, or management that uses near real-time data to guide the spatial distribution of commercial activities, is an emerging approach to balance ocean resource use and conservation. Employing a wide range of data... more
Dynamic ocean management, or management that uses near real-time data to guide the spatial distribution of commercial activities, is an
emerging approach to balance ocean resource use and conservation. Employing a wide range of data types, dynamic ocean management can be
used to meet multiple objectives—for example, managing target quota, bycatch reduction, and reducing interactions with species of conservation
concern. Here, we present several prominent examples of dynamic ocean management that highlight the utility, achievements, challenges, and
potential of this approach. Regulatory frameworks and incentive structures, stakeholder participation, and technological applications that align
with user capabilities are identified as key ingredients to support successful implementation. By addressing the variability inherent in ocean
systems, dynamic ocean management represents a new approach to tackle the pressing challenges of managing a fluid and complex environment.
emerging approach to balance ocean resource use and conservation. Employing a wide range of data types, dynamic ocean management can be
used to meet multiple objectives—for example, managing target quota, bycatch reduction, and reducing interactions with species of conservation
concern. Here, we present several prominent examples of dynamic ocean management that highlight the utility, achievements, challenges, and
potential of this approach. Regulatory frameworks and incentive structures, stakeholder participation, and technological applications that align
with user capabilities are identified as key ingredients to support successful implementation. By addressing the variability inherent in ocean
systems, dynamic ocean management represents a new approach to tackle the pressing challenges of managing a fluid and complex environment.
Research Interests: Marine Biology, Oceanography, Remote Sensing, Marine Ecology, Data Analysis, and 18 moreMarine Protected Areas, Marine Conservation, Natural Resource Management, Marine Mammals, Marine Science, Marine biodiversity, Environmental Sustainability, Crowdsourcing, Fish and Marine Ecology, Collaborative Management, Marine Resource Management/fisheries, Marine and Fisheries Policy, Data Integration, Human dimensions of wildlife, Marine, Stakeholder Engagement, Fisheries Bycatch, and Marine Conservation Planning
Research Interests:
Research Interests:
Research Interests: Oceanography, Monte Carlo, Endangered Species, Animal Movement, Biological Sciences, and 15 moreMediterranean Sea, Environmental Sciences, Movement, Animals, Turtles, Animal migration, Carapace Length, Ecological, Body Size, Caretta caretta, Satellite Telemetry, Conservation of Natural Resources, Ecological Applications, Hierarchical Bayes, and Western Mediterranean
Research Interests:
Research Interests:
Research Interests:
Research Interests: Geography, Spatial Analysis, Fisheries, Population Dynamics, Environmental Monitoring, and 14 moreMultidisciplinary, Software, Animals, Fishes, Population Size, PLoS one, Environmental Impact, Relative Density, Ecosystem, Coastal Zone, Habitat Degradation, Conservation of Natural Resources, Oceans and Seas, and Fishing Effort
Research Interests:
Dynamic ocean management, or management that uses near real-time data to guide the spatial distribution of commercial activities, is an emerging approach to balance ocean resource use and conservation. Employing a wide range of data... more
Dynamic ocean management, or management that uses near real-time data to guide the spatial distribution of commercial activities, is an emerging approach to balance ocean resource use and conservation. Employing a wide range of data types, dynamic ocean management can be
used to meet multiple objectives—for example, managing target quota, bycatch reduction, and reducing interactions with species of conservation concern. Here, we present several prominent examples of dynamic ocean management that highlight the utility, achievements, challenges, and
potential of this approach. Regulatory frameworks and incentive structures, stakeholder participation, and technological applications that align with user capabilities are identified as key ingredients to support successful implementation. By addressing the variability inherent in ocean systems, dynamic ocean management represents a new approach to tackle the pressing challenges of managing a fluid and complex environment.
Full Author List: Rebecca Lewison, Alistair J. Hobday, Sara Maxwell, Elliott Hazen, Jason R. Hartog, Daniel C. Dunn, Dana Briscoe, Sabrina Fossette, Catherine E. O'Keefe, Michele Barnes, Melanie Abecassis, Steven Bograd, N. David Bethoney, Helen Bailey, David Wiley, Samantha Andrews, Lucie Hazen and Larry B. Crowder
used to meet multiple objectives—for example, managing target quota, bycatch reduction, and reducing interactions with species of conservation concern. Here, we present several prominent examples of dynamic ocean management that highlight the utility, achievements, challenges, and
potential of this approach. Regulatory frameworks and incentive structures, stakeholder participation, and technological applications that align with user capabilities are identified as key ingredients to support successful implementation. By addressing the variability inherent in ocean systems, dynamic ocean management represents a new approach to tackle the pressing challenges of managing a fluid and complex environment.
Full Author List: Rebecca Lewison, Alistair J. Hobday, Sara Maxwell, Elliott Hazen, Jason R. Hartog, Daniel C. Dunn, Dana Briscoe, Sabrina Fossette, Catherine E. O'Keefe, Michele Barnes, Melanie Abecassis, Steven Bograd, N. David Bethoney, Helen Bailey, David Wiley, Samantha Andrews, Lucie Hazen and Larry B. Crowder