Dissolved organic carbon and nutrients as regulators of lake ecosystems: Resurrection of a more integrated paradigm

Citation
Ce. Williamson et al., Dissolved organic carbon and nutrients as regulators of lake ecosystems: Resurrection of a more integrated paradigm, LIMN OCEAN, 44(3), 1999, pp. 795-803
Citations number
96
Categorie Soggetti
Aquatic Sciences
Journal title
LIMNOLOGY AND OCEANOGRAPHY
ISSN journal
00243590 → ACNP
Volume
44
Issue
3
Year of publication
1999
Part
2
Pages
795 - 803
Database
ISI
SICI code
0024-3590(199905)44:3<795:DOCANA>2.0.ZU;2-Q
Abstract
The primary interpretive paradigm used to study lakes is their trophic stat us. Oligotrophic lakes have low nutrient loading and low productivity, whil e eutrophic lakes have high nutrients and high productivity. The strong emp irical relationship between nutrient loading and productivity is a Valuable tool for teaching, for research, and for management of lakes. In order to incorporate the variety of other known anthropogenic impacts on lakes, howe ver, lake characterization needs to extend beyond the nutrient-productivity paradigm. For example, acid precipitation, heavy metal and toxic organic c ontaminants, increases in UV radiation, and global warming are all recogniz ed threats to lake ecosystems. One of the key characteristics of lakes that determines how they respond to disturbances such as these is their concent ration of colored dissolved organic carbon (CDOC). Here we argue that a par adigm that includes CDOC (using the absorption coefficient at 320 nm as a p roxy) as well as nutrients will be useful in predicting and understanding t he response of lake ecosystems to multiple stressors. We propose to resurre ct the CDOC axis that was proposed by investigators earlier this century an d to extend it by adding some operational definitions to permit placing som e of the major lake types on the axes in a way that will help us to better understand the structure, function, and response to disturbance of lake eco systems that are subject to natural and anthropogenic environmental changes at the local, regional, and global scales. Data from a few diverse lakes a nd a successional sequence in Glacier Bay, Alaska, are used to illustrate t he potential utility of the 2-axis model in separating lake types.