1 1.10 Application of estuarine and coastal classifications in marine ...
1 1.10 Application of estuarine and coastal classifications in marine ... 1 1.10 Application of estuarine and coastal classifications in marine ...
inclusion of a wider range of physical factors including sediment composition (grain size and carbonate content), sediment mobility, water depth and organic flux were able to adequately characterize macrofaunal distributions (Post et al. 2006). The latter study highlights the importance of including process-based factors such as sediment mobility in determining patterns of diversity and individual species distributions, particularly in soft sediment dominated regions. In many areas, however, the work of assessing the utility of benthic habitat maps as surrogates of biodiversity or as predictors of species distributions is still in its infancy and is a major pursuit in the field of marine spatial ecology. Habitat maps can also be analyzed using landscape ecology concepts and spatial tools to examine the importance of spatial heterogeneity of the environment including the significance of seascape composition (distribution, abundance and diversity of patch types) and seascape configuration or spatial arrangement (the explicit spatial geometry of patches) (Pittman et al. 2004, 2007b, Grober-Dunsmore 2007, 2008). This new approach in marine ecology represents a shift from a focus on individual habitat patches to a focus on the surrounding seascape mosaic. A classified map of functionally meaningful seascape types can provide a novel spatial template with which to frame many important management and ecological questions including the design of marine protected areas, essential fish habitat and designing optimal restoration projects. Classified maps also play an important role in forming spatial predictor variables in predictive mapping of biodiversity and explaining individual species distributions for coral reef ecosystems (Pittman et al. 2007a; Purkis et al. 2008, Pittman et al. 2009, Knudby et al. 2010) (Figure 1). 1.10.2.1 Classifying and Mapping Seascapes of the Scotian Shelf, NW Atlantic 16
In a hierarchical framework for the Scotian Shelf, Roff et al. (2003) classified pelagicbenthic seascapes by combining a classification of benthic seascapes (based on temperature, bottom temperature, exposure, slope and sediment types), with a classification of pelagic seascapes (based on water temperature, depth classes and stratification classes) (Figure 2A). These layers were then used to calculate a derivative map to show relative seascape heterogeneity (Figure 2B) in order to identify areas with high heterogeneity as potential focal areas for marine conservation. Further utility can be gained by quantifying the seascape composition of existing or proposed marine protected areas, for linking to key faunal populations or behavioral patterns such as migratory corridors for megafauna and addresses questions about habitat use and preferences at scales that may be more meaningful to the highly mobile organisms (Box 3). Furthermore, such information can help understand marine species distributions and characterize essential fish habitat including nursery and spawning areas. Using similar organizational frameworks, seascapes have been classified and delineated in Australia (Harris 2007); the Gulf of Maine (CLF/WWF 2006); the Irish Sea (Vincent et al. 2004), and the Baltic Sea (Al-Hamdani et al. 2007). In the UK, four main categories of seascape types (or marine landscapes) have been defined (Connor et al. 2006). These are: 1.) Coastal (physiographic) features, such as fjords and estuaries, where the seabed and water body are closely interlinked. 2.) Topographic and bed-form features, occurring away from the coast and forming distinct raised or deepened features of the seabed at various scales; 3.) Broad-scale seabed habitats, defined through modeling and broadly equivalent to EUNIS higher level habitat classes; 17
- Page 1 and 2: 1.10 Application of estuarine and c
- Page 3 and 4: SYNOPSIS Coastal and marine classif
- Page 5 and 6: government and non-governmental man
- Page 7 and 8: paucity of species and habitat data
- Page 9 and 10: and many sub-catastrophic disturban
- Page 11 and 12: conservation practitioners, industr
- Page 13 and 14: levels of the hierarchy are defined
- Page 15: distributions, both within and surr
- Page 19 and 20: 1.10.2.3 Australian Coastal Classif
- Page 21 and 22: Ecological theory predicts that the
- Page 23 and 24: outbreaks in the late 1970s (Green
- Page 25 and 26: intertidal zones, and shallow coast
- Page 27 and 28: 1.10.3.1 Identifying Priority Conse
- Page 29 and 30: y the Massachusetts Oceans Act (200
- Page 31 and 32: eight color coded zones to provide
- Page 33 and 34: appropriate place to investigate fe
- Page 35 and 36: 1.10.4.3 Massachusetts Ocean Plan T
- Page 37 and 38: One of the foundational concepts un
- Page 39 and 40: ecosystems has shown that considera
- Page 41 and 42: In May 2004, Germany was the first
- Page 43 and 44: improve the design and interpretati
- Page 45 and 46: NOAA’s CoastWatch Change Analysis
- Page 47 and 48: ground resolution of 30 m. Each cla
- Page 49 and 50: also be used to assess the role of
- Page 51 and 52: States (Gundlach and Hayes 1978). T
- Page 53 and 54: information at the species level. I
- Page 55 and 56: 1.10.8.4 Classifying and Mapping Hu
- Page 57 and 58: map of the entire Australian shorel
- Page 59 and 60: within 11 regions, leading to an ov
- Page 61 and 62: enhancement of certain functions in
- Page 63 and 64: achieved by identifying barriers to
- Page 65 and 66: ecosystem service values extracted
<strong>in</strong>clusion <strong>of</strong> a wider range <strong>of</strong> physical factors <strong>in</strong>clud<strong>in</strong>g sediment composition (gra<strong>in</strong> size <strong>and</strong><br />
carbonate content), sediment mobility, water depth <strong>and</strong> organic flux were able to adequately<br />
characterize macr<strong>of</strong>aunal distributions (Post et al. 2006). The latter study highlights the<br />
importance <strong>of</strong> <strong>in</strong>clud<strong>in</strong>g process-based factors such as sediment mobility <strong>in</strong> determ<strong>in</strong><strong>in</strong>g patterns<br />
<strong>of</strong> diversity <strong>and</strong> <strong>in</strong>dividual species distributions, particularly <strong>in</strong> s<strong>of</strong>t sediment dom<strong>in</strong>ated regions.<br />
In many areas, however, the work <strong>of</strong> assess<strong>in</strong>g the utility <strong>of</strong> benthic habitat maps as surrogates <strong>of</strong><br />
biodiversity or as predictors <strong>of</strong> species distributions is still <strong>in</strong> its <strong>in</strong>fancy <strong>and</strong> is a major pursuit <strong>in</strong><br />
the field <strong>of</strong> mar<strong>in</strong>e spatial ecology.<br />
Habitat maps can also be analyzed us<strong>in</strong>g l<strong>and</strong>scape ecology concepts <strong>and</strong> spatial tools to<br />
exam<strong>in</strong>e the importance <strong>of</strong> spatial heterogeneity <strong>of</strong> the environment <strong>in</strong>clud<strong>in</strong>g the significance<br />
<strong>of</strong> seascape composition (distribution, abundance <strong>and</strong> diversity <strong>of</strong> patch types) <strong>and</strong> seascape<br />
configuration or spatial arrangement (the explicit spatial geometry <strong>of</strong> patches) (Pittman et al.<br />
2004, 2007b, Grober-Dunsmore 2007, 2008). This new approach <strong>in</strong> mar<strong>in</strong>e ecology represents a<br />
shift from a focus on <strong>in</strong>dividual habitat patches to a focus on the surround<strong>in</strong>g seascape mosaic. A<br />
classified map <strong>of</strong> functionally mean<strong>in</strong>gful seascape types can provide a novel spatial template<br />
with which to frame many important management <strong>and</strong> ecological questions <strong>in</strong>clud<strong>in</strong>g the design<br />
<strong>of</strong> mar<strong>in</strong>e protected areas, essential fish habitat <strong>and</strong> design<strong>in</strong>g optimal restoration projects.<br />
Classified maps also play an important role <strong>in</strong> form<strong>in</strong>g spatial predictor variables <strong>in</strong> predictive<br />
mapp<strong>in</strong>g <strong>of</strong> biodiversity <strong>and</strong> expla<strong>in</strong><strong>in</strong>g <strong>in</strong>dividual species distributions for coral reef ecosystems<br />
(Pittman et al. 2007a; Purkis et al. 2008, Pittman et al. 2009, Knudby et al. 2010) (Figure 1).<br />
<strong>1.10</strong>.2.1 Classify<strong>in</strong>g <strong>and</strong> Mapp<strong>in</strong>g Seascapes <strong>of</strong> the Scotian Shelf, NW Atlantic<br />
16