4.7 Article

Agricultural land use alters the seasonality and magnitude of stream metabolism

期刊

LIMNOLOGY AND OCEANOGRAPHY
卷 58, 期 4, 页码 1513-1529

出版社

WILEY
DOI: 10.4319/lo.2013.58.4.1513

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资金

  1. National Science Foundation (Division of Environmental Biology) [0415984]
  2. Indiana Department of Environmental Management
  3. Natural Sciences and Engineering Research Council of Canada
  4. Division Of Environmental Biology
  5. Direct For Biological Sciences [0415984] Funding Source: National Science Foundation

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We present a comprehensive data set of gross primary production (GPP) and ecosystem respiration (ER) in open-canopy, nutrient-rich streams draining row-crop agriculture in the midwestern United States. We used two approaches to characterize temporal and spatial variation in whole-stream metabolism: continuous measurements in one agricultural stream for 1 yr, and periodic daily measurements in six agricultural streams on six dates spanning summer, autumn, and winter. Continuous measurements revealed high rates of GPP (range: 0.1 to 22.0 g O-2 m(-2) d(-1)) and ER (range: -0.9 to -34.8 g O-2 m(-2) d(-1)) that varied seasonally with light availability and temperature. GPP and ER were correlated during periods of high autotrophic production, suggesting that autotrophic respiration comprised a large portion of ER; however, the GPP: ER ratio exceeded 1 for only 4% of the year. While there were distinct temporal patterns in metabolism in one agricultural stream, rates of GPP and ER were similar among six streams when assessed via periodic daily measurements, and 26% of all periodic daily measurements were autotrophic with GPP : ER > 1. However, these periodic measurements were collected under baseflow conditions and may have overestimated the extent of autotrophy in agricultural streams. Overall, the open canopy and elevated nutrients of agricultural streams resulted in higher rates of GPP and ER compared with more pristine systems. Estimates of metabolism are needed from underrepresented systems to accurately quantify carbon fluxes from fluvial ecosystems.

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