| Point assignment | |||
|---|---|---|---|
| 1 | 3 | 5 | |
| Range | |||
| Breeding | Large | Medium | Small |
| Migration | Long | Medium | Short |
| Winter | Large | Medium | Small |
| Marine orientation | Coastal zone | Intertidal | Open water |
| Population | |||
| Size | Large | Medium | Small |
| Productivity | Large | Medium | Small |
| Habits | |||
| Roosting | Shore | Drift | Water |
| Foraging | Walking | Flying | Swimming |
| Escape | Leave area | Fly | Dive |
| Flocking | Small | Medium | Large |
| Nesting density | Low | Medium | High |
| Specialization | Low | Medium | High |
| Mortality | |||
| Hunted by man | Low | Medium | High |
| Animal depredations | Low | Medium | High |
| Non-oil pollution | Low | Medium | High |
| History of oiling | Low | Medium | High |
| Exposure | |||
| Spring | Low | Medium | High |
| Summer | Low | Medium | High |
| Fall | Low | Medium | High |
| Winter | Low | Medium | High |
With these points in mind it is immediately obvious that Southeast Alaska (Table 4), which has only 9 high-score birds, offers far less potential for bird problems than does the Aleutian area (Table 5), which has 24 high-score species. The planning agency could make some immediate decisions on site priorities and research funding based on such information.
We are convinced that the OVI principle expressed here will become a useful management tool with all sorts of possible applications. We recognize some difficulties with the present version, but believe it is timely to present the system so that a broader range of thought, improvements, and application can be applied to it.
Of prime importance is the system's simplicity. The use of four levels of value for each factor, instead of five or more, is an attempt to simplify. Ian McHarg (1969) has shown that extremely complex land-use values can be graphically compared and displayed by using three levels in a way that is useful to decision makers. The difficulty of using more levels of value was indicated by Sparrowe and Wight (1975) who used up to 10 levels, enormously complicating the problem of dealing with low-quality information, which is often all that is available. The use of scores of 0, 1, 3, 5 instead of 0, 1, 2, 3 for 20 factors enabled us to use the convenient 100 points instead of 60 points as the maximum potential total score for any species.
The 20 factors that were evaluated are admittedly arbitrary; with refinement and more detailed data they could be adjusted to show better separation between affected species. The decision to use 20 factors instead of more or less again relates to simplicity. This appears to be the minimum number that will assure species separation and that can be neatly displayed.
| Family | Number of species | Total OVI | OVI per species | |
|---|---|---|---|---|
| Average | Range | |||
| Loons—Gaviidae | 4 | 219 | 55 | 47-65 |
| Grebes—Podicipedidae | 3 | 148 | 49 | 44-56 |
| Albatrosses—Diomedeidae | 2 | 102 | 51 | 50-52 |
| Shearwaters—Procellaridae | 4 | 208 | 52 | 47-57 |
| Storm-petrels—Hydrobatidae | 2 | 130 | 65 | 63-67 |
| Cormorants—Phalacrocoracid | 4 | 235 | 59 | 52-63 |
| Herons—Ardeidae | 1 | 29 | 29 | 29 |
| Waterfowl—Anatidae | 33 | 1,765 | 53 | 32-78 |
| Eagles and Hawks—Accipitridae | 2 | 77 | 39 | 19-58 |
| Ospreys—Pandionidae | 1 | 37 | 37 | 37 |
| Falcons—Falconidae | 1 | 41 | 41 | 41 |
| Cranes—Gruidae | 1 | 24 | 24 | 24 |
| Rails and Coots—Rallidae | 1 | 33 | 33 | 33 |
| Oystercatchers—Haematopodidae | 1 | 65 | 65 | 65 |
| Plovers—Charadriidae | 7 | 287 | 41 | 26-57 |
| Sandpipers—Scolopacidae | 22 | 857 | 39 | 24-59 |
| Phalaropes—Phalaropodidae | 2 | 120 | 60 | 58-62 |
| Jaegers and Skuas—Stercorariidae | 3 | 123 | 41 | 39-43 |
| Gulls and Terns—Laridae | 16 | 730 | 46 | 32-66 |
| Auks—Alcidae | 15 | 1,164 | 78 | 70-88 |
| Kingfishers—Alcedinidae | 1 | 28 | 28 | 28 |
| Crows—Corvidae | 2 | 68 | 34 | 21-47 |
| Total and Mean | 128 | 6,490 | 51 | 19-88 |
The system will be much more useful when it is expanded to the subspecific level. Many Holarctic species are represented in the Northeast Pacific by a single race that would have a much higher OVI than the species as a whole. For example, the OVI for the Peale's peregrine falcon (Falco peregrinus pealei) confined to marine habitats within the Pacific region would be high; and the endangered Aleutian Canada goose (Branta canadensis leucopareia) would score 100 points instead of the 34 we show for Canada geese (B. c.). If Tables 4 and 5 showed subspecies, the differences in value would be more marked.
Tables 4 and 5 are for broad geographical areas. A comparison between smaller areas would probably show more dramatic differences.
Because the dearth of easily available, applicable information poses a problem in evaluating the various factors, our scoring was conservative. Experts on the various avian families can doubtless refine the scoring. If this system proves useful, investigators will begin to acquire the information needed for more precise evaluations. Ultimate perfection may never be achieved; however, as with the field guides, the fact of minor professional disagreement should not destroy the system's utility.
We believe re-scoring of all birds on the basis of various projects should be avoided because a standard against which individual projects can be measured is needed. If everyone did their own scoring, there would be no standard, and projects evaluated by different investigators would not be comparable. If a species list for the project area and standard point scores are used, the level of involvement for many species and perhaps for most species will be properly identified. As with any system, there will be exceptions and the assessor will need to deal with these as appropriate. The result will still be to focus attention on those species and impacting factors where it is most needed.
| OVI 1-20 | OVI 21-40 | OVI 41-60 | OVI 61-80 | OVI 81-100 | |||||
|---|---|---|---|---|---|---|---|---|---|
| Marsh hawk | 19 | Great blue heron | 29 | Common loon | 47 | Pelagic cormorant | 63 | Pigeon guillemot | 82 |
| 52 species, rare or occasional (one point each) | 52 | Canada goose | 34 | Arctic loon | 58 | Oldsquaw | 66 | Marbled murrelet | 84 |
| White-fronted goose | 36 | Red-throated loon | 49 | White-winged scoter | 72 | ||||
| Snow goose | 32 | Red-necked grebe | 44 | Surf scoter | 72 | ||||
| Mallard | 36 | Horned grebe | 48 | Black oystercatcher | 65 | ||||
| Pintail | 36 | Whistling swan | 50 | Northern phalarope | 62 | ||||
| Green-winged teal | 34 | Trumpeter swan | 63 | Common murre | 70 | ||||
| American wigeon | 36 | Greater scaup | 52 | ||||||
| Semipalmated plover | 28 | Lesser scaup | 52 | ||||||
| Killdeer | 26 | Common goldeneye | 48 | ||||||
| Common snipe | 29 | Barrow's goldeneye | 56 | ||||||
| Spotted sandpiper | 24 | Bufflehead | 52 | ||||||
| Greater yellowlegs | 30 | Harlequin duck | 60 | ||||||
| Lesser yellowlegs | 30 | Common merganser | 56 | ||||||
| Pectoral sandpiper | 32 | Red-breasted merganser | 56 | ||||||
| Least sandpiper | 34 | Bald eagle | 58 | ||||||
| Herring gull | 38 | Peregrine falcon | 41 | ||||||
| Bonaparte's gull | 40 | Black turnstone | 57 | ||||||
| Arctic tern | 32 | Rock sandpiper | 59 | ||||||
| Belted kingfisher | 28 | Dunlin | 41 | ||||||
| Common raven | 21 | Short-billed dowitcher | 41 | ||||||
| Western sandpiper | 47 | ||||||||
| Glaucous-winged gull | 56 | ||||||||
| Thayer's gull | 42 | ||||||||
| Mew gull | 44 | ||||||||
| Northwestern crow | 47 | ||||||||
| Totals | 71 | 665 | 1,324 | 470 | 166 | ||||
| OVI 1-20 | OVI 21-40 | OVI 41-60 | OVI 61-80 | OVI 81-100 | |||||
|---|---|---|---|---|---|---|---|---|---|
| 80 species, rare or occasional (one point each) | 80 | Canada goose | 34 | Fulmar | 57 | Fork-tailed storm-petrel | 67 | Pigeon guillemot | 82 |
| Least sandpiper | 34 | Slender-billed shearwater | 53 | Leach's storm-petrel | 63 | Whiskered auklet | 88 | ||
| Arctic tern | 32 | Greater scaup | 52 | Pelagic cormorant | 63 | ||||
| Common raven | 21 | Common goldeneye | 48 | Red-faced cormorant | 63 | ||||
| Bufflehead | 52 | Black Brant | 70 | ||||||
| Harlequin duck | 60 | Emperor goose | 70 | ||||||
| Bald eagle | 58 | Oldsquaw | 66 | ||||||
| Peregrine falcon | 41 | Steller's eider | 72 | ||||||
| Ruddy turnstone | 44 | Common eider | 68 | ||||||
| Rock sandpiper | 59 | King eider | 70 | ||||||
| Western sandpiper | 47 | White-winged scoter | 72 | ||||||
| Red phalarope | 58 | Common scoter | 72 | ||||||
| Parasitic jaeger | 43 | Black oystercatcher | 65 | ||||||
| Glaucous-winged gull | 56 | Red-legged kittiwake | 66 | ||||||
| Black-legged kittiwake | 49 | Common murre | 70 | ||||||
| Thick-billed murre | 70 | ||||||||
| Ancient murrelet | 74 | ||||||||
| Parakeet auklet | 80 | ||||||||
| Crested auklet | 76 | ||||||||
| Least auklet | 80 | ||||||||
| Horned puffin | 72 | ||||||||
| Tufted puffin | 72 | ||||||||
| Totals | 80 | 121 | 777 | 1,541 | 170 | ||||
We have used our OVI system to show the vulnerability of birds to oil, but it seems likely that the vulnerability index could be applied on a much broader scale to help make decisions in other areas of human activity and resource development. The vulnerability index system could be applied to terrestrial as well as aquatic species by adding or subtracting impacting factors, as appropriate. Indexes relating the impact of man upon each North American species could have broad uses in the field of conservation. Population explosions, as well as declines, might be predictable. Human activity could be better adjusted to favor or depress wildlife populations, as appropriate.
We believe that this vulnerability index system has promise for aiding in the decision-making processes upon which future bird conservation will depend.
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