Mariculture siting: a GIS description of intertidal areas

Congleton, W.R.; Pearce, Bryan R.; Parker, Matthew R. P.; Beal, Brian F.

doi:10.1016/s0304-3800(98)00158-6

Cited by 19 publications

(7 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another important factor in oyster site selection is water velocity, which delivers food to populations of oysters and other bivalves at commercial-scale densities. Congleton et al (1999) developed a GIS system that included water velocity and intertidal elevation to predict optimal locations for clam (Mya arenaria) mariculture. Within a coastal bay, ShellGIS (Newell et al, 2013) used the growth model Shellsim (Hawkins et al, 2013a) to predict oyster growth and yield as a function of water quality (temperature, salinity, and food concentration), husbandry and seeding density, and water velocity on a 50 m farm scale.…”

Section: Introductionmentioning

confidence: 99%

Oyster Aquaculture Site Selection Using Landsat 8-Derived Sea Surface Temperature, Turbidity, and Chlorophyll a

et al. 2017

View full text Add to dashboard Cite

Remote sensing data is useful for selection of aquaculture sites because it can provide water-quality products mapped over large regions at low cost to users. However, the spatial resolution of most ocean color satellites is too coarse to provide usable data within many estuaries. The Landsat 8 satellite, launched February 11, 2013, has both the spatial resolution and the necessary signal to noise ratio to provide temperature, as well as ocean color derived products along complex coastlines. The state of Maine (USA) has an abundance of estuarine indentations (∼3,500 miles of tidal shoreline within 220 miles of coast), and an expanding aquaculture industry, which makes it a prime casestudy for using Landsat 8 data to provide products suitable for aquaculture site selection. We collected the Landsat 8 scenes over coastal Maine, flagged clouds, atmospherically corrected the top-of-the-atmosphere radiances, and derived time varying fields (repeat time of Landsat 8 is 16 days) of temperature (100 m resolution), turbidity (30 m resolution), and chlorophyll a (30 m resolution). We validated the remote-sensing-based products at several in situ locations along the Maine coast where monitoring buoys and programs are in place. Initial analysis of the validated fields revealed promising new areas for oyster aquaculture. The approach used is applicable to other coastal regions and the data collected to date show potential for other applications in marine coastal environments, including water quality monitoring and ecosystem management.

show abstract

Section: Introductionmentioning

confidence: 99%

Oyster Aquaculture Site Selection Using Landsat 8-Derived Sea Surface Temperature, Turbidity, and Chlorophyll a

et al. 2017

View full text Add to dashboard Cite

show abstract

“…In the intertidal zone, Congleton et al (1999) used a GIS system to combine intertidal height and water velocity for soft clam mariculture siting, and Arnold et al (2000) used multiple water quality and benthic habitat criteria to identify sites for hard clam aquaculture. Radiarta et al (2008) used satellite imagery of chlorophyll-a and temperature, a weighted bio-physical, social-infrastructural and constraint criteria and model builder in ArcGIS to identify the best sites for scallop grow-out.…”

Section: Geographic Information Systems (Gis)mentioning

confidence: 99%

Farm-Scale Production Models

Newell

Brady

Richardson

2018

Goods and Services of Marine Bivalves

View full text Add to dashboard Cite

Farm-scale production models of bivalves have been used for site selection, optimization of culture practices, and the estimation of ecosystem goods and services. While all farm models require physical forcing through hydrodynamic models, the input of measured or modelled bivalve growth drivers, and a bioenergetic growth model which predicts individual growth and farm yield as a function of husbandry practices, some models are also embedded in a GIS system to allow for a "point and click" ability to test different locations and production strategies at various locations within the modeled domain. More generic Web-based models such as the Farm Aquaculture Resource Management are relatively simple to use, provide a link to larger ecosystem models, and provide direct estimates of ecosystem services. More detailed models, such as ShellGIS, may be more data intensive and require detailed bathymetry, spatial velocity fields, information about boundary layer and aquaculture structure hydrodynamics and particle depletion. However, these models provide the detailed spatial and temporal results that can optimize farm productivity and assess benthic impacts. New approaches using high resolution remote sensing satellites and powerful physical-biogeochemical models using unstructured grids to link farm scale models with ecosystem models in a GIS platform have potential to provide improvements in the utility of farm scale models for the estimation of bivalve aquaculture ecosystem goods and services.

show abstract

“…These values were calculated by manually digitizing intertidal reef from aerial and satellite imagery (1 m pixel size) and ground-truthing areas of uncertainty using methodologies based on Congleton et al (1999) and Zharikov et al (2005). The amount of reef within a radius was calculated using the 'Extract by Circle' analysis in ArcGIS 9.0 (ESRI, 2004).…”

Section: Environmental Predictorsmentioning

confidence: 99%

A rapid biodiversity assessment methodology tested on intertidal rocky shores

O'Hara

Addison

Gazzard

et al. 2010

Aquatic Conservation

View full text Add to dashboard Cite

ABSTRACT1. Conservation managers require biodiversity assessment tools to estimate the impact of human activities on biodiversity and to prioritize resources for habitat protection or restoration. Large-scale programs have been developed for freshwater ecosystems which grade sites by comparing measured versus expected species richness. These models have been applied successfully to habitats that suffer from systemic pressures, such as poor water quality. However, pressures in other habitats, such as rocky intertidal shores, are known to induce more subtle changes in community composition.2. This paper tests a biodiversity assessment methodology that uses the ANOSIM R statistic to quantify the biological dissimilarity between a site being assessed and a series of reference sites selected on the basis of their similar environmental profile. Sites with high R values for assemblage composition have an anomalous assemblage for their environmental profile and are potentially disturbed.3. This methodology successfully identified moderate to heavily perturbed sites in a pilot study on 65 rocky intertidal sites in south-eastern Australia. In general, measures based on percentage cover (flora and sessile invertebrates) were more sensitive than abundance (fauna).

show abstract

Mariculture siting: a GIS description of intertidal areas

Cited by 19 publications

References 17 publications

Oyster Aquaculture Site Selection Using Landsat 8-Derived Sea Surface Temperature, Turbidity, and Chlorophyll a

Oyster Aquaculture Site Selection Using Landsat 8-Derived Sea Surface Temperature, Turbidity, and Chlorophyll a

Farm-Scale Production Models

A rapid biodiversity assessment methodology tested on intertidal rocky shores

Contact Info

Product

Resources

About