Amphibian declines and environmental change: Use of remote-sensing data toidentify environmental correlates

Citation
C. Carey et al., Amphibian declines and environmental change: Use of remote-sensing data toidentify environmental correlates, CONSER BIOL, 15(4), 2001, pp. 903-913
Citations number
103
Categorie Soggetti
Environment/Ecology
Journal title
CONSERVATION BIOLOGY
ISSN journal
08888892 → ACNP
Volume
15
Issue
4
Year of publication
2001
Pages
903 - 913
Database
ISI
SICI code
0888-8892(200108)15:4<903:ADAECU>2.0.ZU;2-P
Abstract
Populations of many amphibian species are declining worldwide, and a few sp ecies appear to have become extinct, In an attempt to evaluate the potentia l usefulness of remote-sensing techniques as a tool for identifying the cau ses of These declines, we compiled a database that contains descriptions of 120 localities, both at which declines have been documented and at which n o declines are yet known. Tbe number of species involved, dates and degree of declines, habitat characteristics, and other factors are provided for ea ch locality. Four relatively undisturbed areas in northeastern Australia, C osta Rica-Panama, central Colorado, and Puerto Rico were chosen for examina tion of environmental correlates coincident with mass mortalities at these localities. We used data predicted by models or collected by satellites, ai rplanes, or direct sampling on the ground to evaluate variations over time In temperature, precipitation, wind direction, UV-B radiation, and concentr ations of certain contaminants at these sites. We asked whether unusual cha nges in these environmental variables occurred either just in advance of or concurrent with dates of amphibian mass mortalities, The variation in cert ain environmental variables documented by others (Alexander & Eischeid 2001 ; Middleton et cit. 2001; Stallard 2001 [all this issue]) appears unlikely to have directly caused amphibian deaths. But correlations between these en vironmental changes and the occurrence of amphibian die-offs, invite furthe r investigation into synergistic interactions among environmental variables and possible indirect causal relationships.