Premium
Ecological, landscape, and climatic regulation of sediment geochemistry in North American sockeye salmon nursery lakes: Insights for paleoecological salmon investigations
Author(s) -
Selbie Daniel T.,
Finney Bruce P.,
Barto David,
Bunting Lynda,
Chen Guangjie,
Leavitt Peter R.,
MacIsaac Erland A.,
Schindler Daniel E.,
Shapley Mark D.,
Gregory-Eavesa Irene
Publication year - 2009
Publication title -
limnology and oceanography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.7
H-Index - 197
eISSN - 1939-5590
pISSN - 0024-3590
DOI - 10.4319/lo.2009.54.5.1733
Subject(s) - watershed , sediment , ecology , environmental science , δ15n , nutrient , vegetation (pathology) , hydrology (agriculture) , stable isotope ratio , geology , δ13c , biology , geomorphology , medicine , physics , geotechnical engineering , pathology , quantum mechanics , machine learning , computer science
We used multiple linear regressions across a Northeast Pacific region 56‐lake set to examine the influence of sockeye salmon spawner densities and limnological, climatic, and watershed characteristics on sediment stable nitrogen isotope (δ 15 N) and C:N signatures, geochemical proxies used in paleolimnological reconstructions of prehistoric salmon abundances. Across all sites (n = 56), sedimentary C:N was primarily related to variables reflecting allochthonous organic matter and nutrient fluxes, with 67= of the variance explained by watershed vegetation type, watershed area, mean slope, and salmon spawner densities. In a subset of sites with nutrient data (n = 41), 63= of variance in C:N was explained by precipitation and watershed vegetation type. Sediment δ 15 N was most strongly related to salmon spawner densities, but C:N and watershed area : lake area ratios explained significant residual variance (total 55=). In sites with nutrient data, salmon spawner densities, vegetation type, and spring nitrate explained 62= of the variance in d15N. Sediment C:N and δ 15 N values exhibited distinct interregional variation, typically varying inversely. Regional d15N‐salmon density relationships (regression slopes) varied strongly with total annual precipitation (r 2 = 0.89, p = 0.016, n = 5), suggesting watershed organic matter and nutrient loading vary predictably in relation to regional biogeoclimatic conditions. Our findings demonstrate that paleolimnological analyses are useful for quantitative reconstruction of past salmon densities; however, inferences regarding past salmon populations must consider the factors regulating influxes of nitrogen from watershed sources.