1 1.10 Application of estuarine and coastal classifications in marine ...

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Figure 27. Distribution of broad habitat types within 11 regions of UK waters, used for assessing habitat status for Charting Progress 2 (habitats aggregated from EUNIS types, based on modeled data from MESH; intertidal rock and sediment habitats not shown, but were assessed). Figure 28. Aggregated impact scores across all habitats (6) per region of UK waters. Aggregated scores allocated to one of five categories to indicate overall severity of each pressure. Final column provides overall ranking for the UK. Figure 29. Restoration classes for Buckridge Coastal Reserve identified through the wetland restoration and enhancement site identification procedure developed by North Carolina Division of Coastal Management (Williams 2002). Figure 30. Priority areas identified and ranked with Priority 1 indicating the highest priority areas for restoring vegetated habitat for juvenile salmon in the Skagit Estuary, Washington State. Figure 31. A.) Estimated value of labor costs for marine tourism businesses. The number of employees was multiplied by an estimated average salary and a factor proportional to the level of dependence on marine tourism. B.) Combined economic value of boats, shoreline cottages and labor costs of marine tourism related businesses. The class values indicate cumulative economic importance. Figure 32. Spatial analysis of biodiversity and the selected ecosystem services. The seven benefit functions (feature values) are displayed in color with the accompanying best networks of 98
selected planning units in gray insets. Feature values range from 0 (or locked out; white), to low (light blue), moderate (dark blue), and high (purple). The boundary indicates the ecoregion plus the 10-km buffer. Yellow lines indicate stratification units, within which individual targets were pursued. Numbers in the thousands (3000) are stratification unit labels. B) Ecosystem service and biodiversity hotspots. Colors represent the number of features for which each planning unit was selected in the best MARXAN network (Chan et al. 2006). Figure 33. Estimated percentage reduction in yearly ecosystem service value flows between current conditions and full zoning buildout conditions by parcel for Maury Island (Troy and Wilson 2006). 99
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1.10 Application of estuarine and c
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SYNOPSIS Coastal and marine classif
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government and non-governmental man
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paucity of species and habitat data
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and many sub-catastrophic disturban
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conservation practitioners, industr
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levels of the hierarchy are defined
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distributions, both within and surr
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In a hierarchical framework for the
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1.10.2.3 Australian Coastal Classif
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Ecological theory predicts that the
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outbreaks in the late 1970s (Green
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intertidal zones, and shallow coast
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1.10.3.1 Identifying Priority Conse
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y the Massachusetts Oceans Act (200
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eight color coded zones to provide
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appropriate place to investigate fe
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1.10.4.3 Massachusetts Ocean Plan T
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One of the foundational concepts un
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ecosystems has shown that considera
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In May 2004, Germany was the first
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improve the design and interpretati
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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
Page 67 and 68: 1.10.12 FUTURE DIRECTIONS AND PRIOR
Page 69 and 70: 1.10.12.1 Linking Patterns and Proc
Page 71 and 72: approach. New classifications will
Page 73 and 74: Arundel, H. and Mount, R. 2007. Nat
Page 75 and 76: Connell, J. H. 1978. Diversity in t
Page 77 and 78: Duke. N.C., Meynecke, J.O., Dittman
Page 79 and 80: Green, A.L., C.E. Birkeland, R.H. R
Page 81 and 82: Hiddink, J. G., Jennings, S., Kaise
Page 83 and 84: Kostylev, V., Todd, B.J., Fader, G.
Page 85 and 86: Maxwell, D.L., Stelzenmüller, V.,
Page 87 and 88: Spatial and temporal patterns in fi
Page 89 and 90: Sharples, C. 2006. Indicative Mappi
Page 91 and 92: Wells, S., Ravilous, C., Corcoran,
Page 93 and 94: FIGURE LEGENDS Figure 1. A) Classes
Page 95 and 96: Figure 10. Ecological evaluation in
Page 97: Figure 21. Combining 'intolerance'
Page 101 and 102: Box 2. Classifications as thematic
Page 103 and 104: Figure 1. 1
Page 117 and 118: Figure 15. Fishing effort (hrs/day)
Page 121 and 122: Figure 19. 100% Conversion. 80% 60%
Page 135: Figure 33. 33
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