Title | Carbon and nitrogen stoichiometry and nitrogen cycling rates in streams |
Publication Type | Journal Article |
Year of Publication | 2004 |
Authors | Dodds, WK, Marti, E, Tank, J, Pontius, JL, Hamilton, SK, Grimm, NB, Bowden, WB, McDowell, WH, Peterson, BJ, Valett, HM, Webster, JR, Gregory, S |
Journal | Oecologia |
Volume | 140 |
Pagination | 458 -467 |
Accession Number | KNZ00925 |
Keywords | carbon, Carbon:Nitrogen ratio, nitrogen, stoichiometry, streams |
Abstract | Stoichiometric analyses can be used to investigate the linkages between N and C cycles and how these linkages influence biogeochemistry at many scales, from components of individual ecosystems up to the biosphere. N-specific NH4 + uptake rates were measured in eight streams using short-term 15N tracer additions, and C to N ratios (C:N) were determined from living and non-living organic matter collected from ten streams. These data were also compared to previously published data compiled from studies of lakes, ponds, wetlands, forests, and tundra. There was a significant negative relationship between C:N and N-specific uptake rate; C:N could account for 41% of the variance in N-specific uptake rate across all streams, and the relationship held in five of eight streams. Most of the variation in N-specific uptake rate was contributed by detrital and primary producer compartments with large values of C:N and small values for N-specific uptake rate. In streams, particulate materials are not as likely to move downstream as dissolved N, so if N is cycling in a particulate compartment, N retention is likely to be greater. Together, these data suggest that N retention may depend in part on C:N of living and non-living organic matter in streams. Factors that alter C:N of stream ecosystem compartments, such as removal of riparian vegetation or N fertilization, may influence the amount of retention attributed to these ecosystem compartments by causing shifts in stoichiometry. Our analysis suggests that C:N of ecosystem compartments can be used to link N-cycling models across streams. |
DOI | 10.1007/s00442-004-1599-y |