『Abstract
Human activities have profoundly altered the global nitrogen
(N) cycle. Increases in anthropogenic N have had multiple effects
on the atmosphere, on terrestrial, freshwater and marine ecosystems,
and even on human health. Unfortunately, methodological limitations
challenge our ability to directly measure natural N inputs via
biological N fixation (BNF) - the largest natural source of new
N to ecosystems. This confounds efforts to quantify the extent
of anthropogenic perturbation to the N cycle. To address this
gap, we used a pair of indirect methods - analytical modeling
and N balance - to generate independent estimates of BNF in a
presumed hotspot of N fixation, a tropical rain forest site in
central Rondonia(後のoの頭に^) in the Brazilian
Amazon Basin. Our objectives were to attempt to constrain symbiotic
N fixation rate in this site using indirect methods, and to assess
strengths and weaknesses of this approach by looking for areas
of convergence and disagreement between the estimates. This approach
yielded two remarkably similar estimates of n fixation. However,
when compared to a previously published bottom-up estimate, our
analysis indicated much lower n inputs via symbiotic BNF in the
Rondonia(後のoの頭に^) site than has been suggested
for the tropics as a whole. This discrepancy may reflect errors
associated with extrapolating bottom-up fluxes from plot-scale
measures, those resulting from the indirect analyses, and/or the
relatively low abundance of legumes at the Rondonia(後のoの頭に^)
site. While indirect methods have some limitations, we suggest
that until the technological challenges of directly measuring
N fixation are overcome, integrated approaches that employ a combination
of model-generated and empirically-derived data offer a promising
way of constraining N inputs via BNF in natural ecosystems.
Keywords: Amazon Basin; Ecosystem modeling; mass balance; Nitrogen
fixation; Nutrient cycling; Rondonia(後のoの頭に^);
Tropical forest』
Introduction
Methods
Study site
Modeled estimates of BNF
N balance estimates of BNF
N inputs
N losses
Results
Modeled estimates of BNF
N balance estimates of BNF
N inputs
N losses
Discussion
Acknowledgments
Open Access
References