Graham A. Stewart, Michael R. Williams, Gregory W. McCarty, Margaret A. Palmer
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引用次数: 0
Abstract
Wetlands are collectively the largest natural source of methane (CH4), which complicates the climate mitigation potential of wetland restoration. Land-use change alters wetland soils, vegetation, and hydrology, but the impact of this disturbance legacy on CH4 fluxes from restored wetlands is uncertain. To better understand CH4 dynamics across a gradient of human disturbance, we examined 5 yr of continuous CH4 flux data from a drained, restored, and least-disturbed (“natural”) freshwater mineral-soil wetland. We quantified temporal relationships between CH4 flux and three key biophysical drivers: soil temperature, gross primary productivity, and hydrology. Using information theoretic and nonlinear state-space reconstruction approaches, we assessed how these relationships varied across different time scales and evaluated evidence for causality. All sites had highest diel CH4 fluxes at night, primarily driven by gross primary productivity in the natural wetland and soil temperature in the restored and drained wetland. The seasonal scale accounted for most variability in CH4 fluxes at the natural and restored wetland, with fluxes influenced by the hysteretic causal effects of soil temperature and water level. The effects of seasonal drivers were less evident at the drained site, where fluxes varied more on shorter timescales. Overall, CH4 fluxes in the natural and restored wetland were comparable in magnitude, had similar temporal patterns, and responded similarly to drivers, indicating convergence in underlying processes. Our work furthers understanding of how land-use history modulates wetland ecosystem processes, which is essential for accurate climate projections and effective management amid global change.
期刊介绍:
Limnology and Oceanography (L&O; print ISSN 0024-3590, online ISSN 1939-5590) publishes original articles, including scholarly reviews, about all aspects of limnology and oceanography. The journal''s unifying theme is the understanding of aquatic systems. Submissions are judged on the originality of their data, interpretations, and ideas, and on the degree to which they can be generalized beyond the particular aquatic system examined. Laboratory and modeling studies must demonstrate relevance to field environments; typically this means that they are bolstered by substantial "real-world" data. Few purely theoretical or purely empirical papers are accepted for review.