US GLOBEC: Program Goals, Approaches, and Advances

Turner, Elizabeth C.; Haidvogel, Dale B.; Hofmann, Eileen E.; Batchelder, Harold P.; Fogarty, Michael J.; Powell, Thomas M.

doi:10.5670/oceanog.2013.72

Cited by 4 publications

(3 citation statements)

References 52 publications

(48 reference statements)

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“…This invitation served to set the basis for GEOHAB, with the explicit emphasis on open, community participation and consensus-building by international scientists focused on HAB research. One significant difference from other similar international programs, such as Global Ocean Ecosystem Dynamics (GLOBEC; Turner et al, 2013), was that GEOHAB never established an international program office, which led to more emphasis on support and coordination from the IOC and SCOR, and more reliance on the SSC and Core Research Projects (CRPs).…”

Section: History Of Geohabmentioning

confidence: 99%

GEOHAB–The Global Ecology and Oceanography of Harmful Algal Blooms Program: Motivation, Goals, and Legacy

Kudela¹,

Berdalet²,

Enevoldsen³

et al. 2017

Oceanog.

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In 2001, the first international research program focusing exclusively on harmful marine algae, GEOHAB (Global Ecology and Oceanography of Harmful Algal Blooms), was established by the HAB research community, under the sponsorship of the Intergovernmental Oceanographic Commission of UNESCO and the Scientific Committee on Oceanic Research. Its mission was to foster international cooperation to advance understanding of HAB dynamics and to improve our ability to predict them. The main efforts were focused on (1) the physiological, behavioral, and genetic characteristics of harmful microalgal species, and (2) the interactions between physical and other environmental conditions that promote the success of one group of species over another. GEOHAB was designed to study HABs with a view to integrating global data from comparable ecosystems. With an international, multidisciplinary, and comparative approach, GEOHAB advanced our understanding of the mechanisms underlying population dynamics of HABs within an ecological and oceanographic context and from an ecosystem perspective at the regional scale. GEOHAB encouraged combined experimental, observational, and modeling tools, using both existing and innovative technologies in a multidisciplinary approach, consistent with the multiple scales and oceanographic complexity of HAB phenomena. GEOHAB established the basis for continued international efforts now and into the future in order to better understand and predict the global complex phenomena of harmful algal blooms.

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Section: History Of Geohabmentioning

confidence: 99%

GEOHAB–The Global Ecology and Oceanography of Harmful Algal Blooms Program: Motivation, Goals, and Legacy

Kudela¹,

Berdalet²,

Enevoldsen³

et al. 2017

Oceanog.

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“…This cornerstone approach to conceptualizing oceanographic variability extends to development of research programs invested in understanding the causal and ultimate drivers of marine ecosystem dynamics worldwide by pairing empirical and numerical modeling research priorities (e.g., Wells et al, 2020). For example, the Global Ocean Ecosystem Dynamics program invested in developing indicators and models to benefit fishery and ecosystem management (Turner et al, 2013). Further, in the Southern Ocean, fishery and ecosystem management involving Antarctic krill (Euphausia superba) and dependent predators (finfish, penguins, pinnipeds), relies upon ecosystem monitoring data that is explicitly connected to dynamical ecosystem models that are used to ensure overfishing of krill does not impact sensitive predator populations (Watters et al, 2013).…”

Section: A Role For Ecosystem Oceanographymentioning

confidence: 99%

Implementing an ecosystem oceanography program to increase capacity and preparedness for dynamic ocean management and fishery challenges

Wells,

Santora

2023

Front. Mar. Sci.

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Building resilience in coastal resources and related communities is improved by a holistic ecosystem research approach for integrating socioecological system components; a key challenge in this process is capturing dynamic interactions between components. We present an application of ecosystem oceanography to address goals of marine conservation and management, including climate readiness and supporting a blue economy. Treating the ecosystem as the sample unit is fundamental to our research program. Specifically, spatiotemporal structure of relationships among taxa themselves is the study subject, not the individual members. Our approach outlines four steps toward successful implementation: 1) Build a conceptual ecosystem-oceanography model informed by previous science and human dimensions research to test hypotheses and identify gaps in our understanding; 2) Design survey and adaptive monitoring efforts, including data sharing protocols, to capture the spatiotemporal processes of ecosystem structure; 3) Use diet data and spatiotemporal variability in trophic interactions to quantify processes influencing ecosystem function, including persistent hotspots of abundance, biodiversity, and trophic transfer; 4) Link empirically-determined processes to improve parameterization of biophysical models to enable evaluation of ecosystem structure and functionality retrospectively and prospectively. Accomplishing these objectives requires a transdisciplinary team and will enable evaluation of specific management goals, develop indicators for tracking progress towards meeting them, and carry out scenario evaluation under near-term and long-term scenarios that explore key uncertainties (e.g., future climate and policy directions). We apply this four-step approach to identify key drivers for recent ecosystem and fishery surprises in the California Current Ecosystem. We propose this approach offers a means for anticipating future ecosystem states and increasing preparedness and capacity to overcome fishery surprises, and in doing so supporting the development of management approaches that are robust to uncertainty.

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“…Modeling (or, for that matter, observing) the global ocean down to turbulence scales and all the species in a food web is, to date, an impossible task. Thus, the GLOBEC program focused its efforts on four coastal systems (Northwest Atlantic, California Current, Coastal Gulf of Alaska, and the western Antarctic Peninsula; see Turner et al, 2013, in this issue) that represent a range of environmental and ecosystem conditions. For the biology, the emphasis-though not exclusively-was on the early life stages of selected key species (deYoung et al, 2004) Field observations collected by GLOBEC were designed to improve our knowledge of the systems directly, provide data for evaluating model output (skill assessment; e.g., Stow et al, 2009), and enable improved model performance through data assimilation.…”

Section: B Y E N R I Q U E N C U R C H I T S E R H a R O L D P Bmentioning

confidence: 99%

Advances in Physical, Biological, and Coupled Ocean Models During the US GLOBEC Program

Curchitser¹,

Batchelder²,

Haidvogel³

et al. 2013

oceanog

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US GLOBEC: Program Goals, Approaches, and Advances

Cited by 4 publications

References 52 publications

GEOHAB–The Global Ecology and Oceanography of Harmful Algal Blooms Program: Motivation, Goals, and Legacy

GEOHAB–The Global Ecology and Oceanography of Harmful Algal Blooms Program: Motivation, Goals, and Legacy

Implementing an ecosystem oceanography program to increase capacity and preparedness for dynamic ocean management and fishery challenges

Advances in Physical, Biological, and Coupled Ocean Models During the US GLOBEC Program

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