Co-Occurrence Mapping of Disparate Data Sets to Assess Potential Aquaculture Sites in the Gulf of Maine

Tlusty, Michael F.; Wikgren, Brooke; Lagueux, Kerry M.; Kite-Powell, Hauke L.; Jin, Di; Hoagland, Porter; Kenney, Robert D.; Kraus, Scott D.

doi:10.1080/23308249.2017.1343798

Cited by 9 publications

(5 citation statements)

References 18 publications

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“…Submarine cable areas, ocean disposal sites, and other navigational constraints were present; however, the "cargo", "tanker, " and "tug and tow" vessel traffic in transit to the Cape Cod Canal in the area of interest was the most considerable constraint (Figure 1D and Table 6). Quantifying vessel traffic from AIS land-based or satellite data ensures vessel-related considerations are adequately characterized within spatial analyses to reduce potential conflict with other ocean industries, such as shipping, fishing, or recreation (Metcalfe et al, 2018;Tlusty et al, 2018). Any grid cells with values greater than 0 in the relative suitability analysis are considered negotiable ocean space.…”

Section: Discussionmentioning

confidence: 99%

“…Remote sensing platforms -such as satellites, Global Positioning System based technologies (e.g., Vessel Monitoring Systems (VMS), data buoy networks), or other similar devices -provide data with a broad spatio-temporal range and resolution to inform the MSP process. For example, vessel traffic information derived from VMS or Automatic Identification Systems (AIS) is used to characterize navigation-related ocean space-use conflicts among ocean industries, such as renewable energy (Rawson and Rogers, 2015), commercial fishing (Rouse et al, 2017), and marine aquaculture (Tlusty et al, 2018). Satellite derived oceanographic variables are frequently used to site marine aquaculture.…”

Section: Introductionmentioning

confidence: 99%

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Applications of Spatial Autocorrelation Analyses for Marine Aquaculture Siting

et al. 2020

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Interest and growth in marine aquaculture are increasing around the world, and with it, advanced spatial planning approaches are needed to find suitable locations in an increasingly crowded ocean. Standard spatial planning approaches, such as a Multi-Criteria Decision Analysis (MCDA), may be challenging and time consuming to interpret in heavily utilized ocean spaces. Spatial autocorrelation, a statistical measure of spatial dependence, may be incorporated into the planning framework, which provides objectivity and assistance with the interpretation of spatial analysis results. Here, two case studies highlighting applications of spatial autocorrelation analyses in the northeast region of the United States of America are presented. The first case study demonstrates the use of a local indicator of spatial association analysis within a relative site suitability analysis-a variant of a MCDA-for siting a mussel longline farm. This case study statistically identified 17% of the area as highly suitable for a mussel longline farm, relative to other locations in the area of interest. The use of a clear, objective, and efficient analysis provides improved confidence for industry, coastal managers, and stakeholders planning marine aquaculture. The second case study presents an incremental spatial autocorrelation analysis with Moran's I that is performed on modeled and remotely sensed oceanographic data sets (e.g., chlorophyll a, sea surface temperature, and current speed). The results are used to establish a maximum area threshold for each oceanographic variable within the online decision support tool, OceanReports, which performs an automated spatial analysis for a user-selected area (i.e., drawn polygon) of ocean space. These thresholds provide users guidance and summary statistics of relevant oceanographic information for aquaculture planning. These two case studies highlight practical uses and the value of spatial autocorrelation analyses to improve the siting process for marine aquaculture.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Applications of Spatial Autocorrelation Analyses for Marine Aquaculture Siting

et al. 2020

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“…79,80 Thus, the availability of ocean space with both suitable mariculture production conditions and limited-to-no conflict with other established marine activities could play a role in state-level industry development. 81…”

Section: Looking B E Yond G Overnment Mariculture P Olic Ymentioning

confidence: 99%

Diverse state‐level marine aquaculture policy in the United States: Opportunities and barriers for industry development

Lester

Gentry

Lemoine

et al. 2021

Reviews in Aquaculture

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Marine aquaculture (mariculture) plays a relatively small role in the United States’ domestic seafood production, despite considerable scope for industry development and high volumes of imported farmed seafood resulting in a significant trade deficit. Currently, most mariculture in the United States occurs in nearshore waters or land‐based tanks and is regulated and guided using state‐level policy, with a relative absence of national coordinating mechanisms to link the patchwork of state policies. There is no comprehensive evaluation showing how different state policies may be enabling or impeding mariculture development. In response, we provide the first systematic overview of state‐level mariculture policy for the 23 coastal marine states in the United States. We compiled information for 16 aquaculture and mariculture policy attributes, including legislation, regulations and management characteristics, particularly those that could enable mariculture development. We found considerable heterogeneity in how states govern and regulate mariculture. As examples, 48% of states have an aquaculture development act, 35% have spatial zoning specifically for mariculture and only 26% have a government‐provided mariculture best management practices document. We examined the relationship between enabling policies and metrics of mariculture output (e.g. production value, number of farms), and while the effect of enabling policy is often equivocal, certain features stand out as important (e.g. government‐provided best management practices). Overall, this policy synthesis suggests approaches that may be influential in enabling mariculture development, which could inform new state‐level policies, an effective overarching federal policy in the United States, or policies in other countries seeking to support an expanded mariculture industry.

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“…Previous articles have discussed the regulatory constraints to offshore aquaculture development (Fairbanks 2016(Fairbanks , 2018Knapp and Rubino 2016 ;Lester et al 2018 ) and concluded that offshore aquaculture would be hindered indefi nitely if: regulatory frameworks were not clearly defi ned; fear of negative outcomes continued to overshadow the acknowledgment of positive gains, despite favorable scientifi c fi ndings (Lester et al 2018 ); and initiatives were not allowed to start for adaptive knowledge to be gained (Knapp and Rubino 2016 ). Spatial planning is suffi cient to resolve confl icts of use that could emerge with fi sherman, ship traffi c, and other human users (Tlusty et al 2018 ). Nevertheless, offshore farming development in New England seems to be mainly stalled by the uncertainty of farm-wildlife interactions, as the area is used by several species protected under the Endangered Species Act, such as whales and turtles that could potentially become entangled if they approach the submerged mussel ropes in the open ocean (Price et al 2017 ).…”

Section: Regulatory Hurdles To Off Shore Aquaculturementioning

confidence: 99%

Fisheries Volume 45 Number 4 April 2020

2020

Fisheries

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Co-Occurrence Mapping of Disparate Data Sets to Assess Potential Aquaculture Sites in the Gulf of Maine

Cited by 9 publications

References 18 publications

Applications of Spatial Autocorrelation Analyses for Marine Aquaculture Siting

Applications of Spatial Autocorrelation Analyses for Marine Aquaculture Siting

Diverse state‐level marine aquaculture policy in the United States: Opportunities and barriers for industry development

Fisheries Volume 45 Number 4 April 2020

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