In the original analysis, latitudinal
and longitudinal range locations are randomized independently of one another. In
latitudinal randomizations, any species can lie anywhere between the northern
and southern extremities of the domain. Similarly, in longitudinal randomizations,
any species can lie anywhere between the eastern and western extremities of
the domain. Alternatively, one can randomize location along one axis, depending
upon a species' limits along another axis. This has no effect if the domain
is rectangularboundaries are the same along one axis, regardless of position
along the other axis. However, if the domain is irregular, longitudinal
domain boundaries will vary, depending on latitude, and vice versa. To
determine the extent to which these differences in approaches to randomization
affect our analyses, we re-analyzed the data, using a randomization method in
which range extent and location along one axis were taken as given, and range
location along the other axis randomized with domain boundaries depending upon
the location along the first axis. For instance, a species longitudinally
confined to the mid-Pacific would be latitudinally constrained by mid-Pacific
domain boundaries: the atolls just north of Hawaii (
29�N),
and the southern extremity of French Polynesia (
29�S),
whereas a species longitudinally confined to the western Indian Ocean would
be latitudinally constrained by African margin boundaries: South Africa
(
35�S) and the northern
Gulf of Suez (
30�N). These
randomizations actually allow mid-domain effects to be tested separately for
latitude and longitude, in addition to accounting for an irregularly-shaped
domain boundary. For instance, if latitudinal distributions were strongly
influenced by factors other than boundary constraints, but longitudinal distributions
driven principally by a mid-domain effect, then this test would effectively
remove any latitudinal effect from the longitudinal randomization, and vice
versa.
In the original analyses, and the ones described above, a species' range can end anywhere between the appropriate domain boundaries. However, range limits are defined by most-distal populations, and thus pre-suppose the existence of an appropriate habitat type within which they can persist. To fully assess the extent to which our results may have been influenced by this phenomenon, one would need a grid recording the locations of suitable habitat, and conduct randomizations in which ranges are constrained to end only at locations that contained suitable habitat. Unfortunately, identifying habitat that is "suitable" for reef-associated corals and fishes is somewhat problematic (see Appendix A). Nevertheless, if the grid is sufficiently coarse in scale and records only the presence or absence of some reef, and if "suitable habitat" is extended north and south beyond the limits of coral reef along the coastlines of Australia, Japan, Asia, South America, and South Africa, then a reasonable approximation to the distribution of available habitat can be constructed. We have done this, extending the grid of coral reef habitat presented by Roberts et al. (2002) northward and southward as necessary. We then re-ran the randomizations described above, applying the constraint that range limits could only fall within grid squares containing suitable habitat. For instance, the latitudinal limits of a species longitudinally restricted to the mid-Pacific would have to fall at latitudes where suitable shallow-water habitat is available (islands or atolls in the mid-Pacific).
Results of these analyses are summarized in the text, and figures are presented in Appendix C.
Literature Cited
Roberts, C. M., C. J. McClean, J. E. N. Veron, J. P. Hawkins, G. R. Allen, D. E. McAllister, C. G. Mittermeier, F. W. Schueler, M. Spalding, F. Wells, C. Vynne, and T. B. Werner. 2002. Marine biodiversity hotspots and conservation priorities for tropical reefs. Science 295:12801284.