A number of ecological models have been developed to provide an understandi
ng of the various biotic and abiotic components required to conserve biodiv
ersity and to reconcile objectives and methods between those interested in
the conservation of species (e.g., population management) and those advocat
ing the conservation of spaces (e.g, protected areas). One of the better kn
own efforts-pioneered in the Pacific Northwest of the United States-is a hi
erarchical ecological framework, that separates biodiversity into compositi
onal, structural, and functional attributes at the genetic, population, com
munity-ecosystem, and landscape levels of organization. We present an adapt
ation of this terrestrial framework consistent with the ecological function
of marine environments. Our adaptation differs in its treatment of the com
munity and ecosystem levels of organization. In our marine framework, the c
ommunity level denotes predominantly the biotic community components of bio
diversity, and the ecosystem level-consistent with marine terminology-denot
es predominantly physical and chemical components. The community and ecosys
tem levels are further separated into those attributes based on ecological
structures such as depth or species richness and those based on ecological
processes such as water motion or succession. The distinction between the b
iotic (genetic, population, and community) and abiotic (ecosystem) is requi
red because the biological components of biodiversity such as competition o
r predation are often more difficult to observe than the abiotic components
such as upwellings, substratum, or temperature. As a result, efforts to co
nserve marine biodiversity are often dependent on the observable abiotic (e
cosystem) components, which can be used as surrogates for the identificatio
n and monitoring of biotic (community) components. We used our hierarchical
framework to identify, and suggest how conservation strategies could be im
plemented in marine environments depending on whether existing data are to
be used or new data are to be collected.