Throughfall exclusion and leaf litter addition drive higher rates of soil nitrous oxide emissions from a lowland wet tropical forest

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Abstract

Tropical forests are a significant global source of the greenhouse gas nitrous oxide (N2O). Predicted environmental changes for this biome highlight the need to understand how simultaneous changes in precipitation and labile carbon (C) availability may affect soil N2O production. We conducted a small-scale throughfall and leaf litter manipulation in a lowland tropical forest in southwestern Costa Rica to test how potential changes in both water and litter derived labile C inputs to soils may alter N2O emissions. Experimentally reducing throughfall in this wet tropical forest significantly increased soil emissions of N2O, and our data suggest that at least part of this response was driven by an increase in the concentration of dissolved organic carbon [DOC] inputs delivered from litter to soil under the drier conditions. Furthermore, [DOC] was significantly correlated with N2O emissions across both throughfall and litterfall manipulation plots, despite the fact that native NO3- pools in this site were generally small. Our results highlight the importance of understanding not only the potential direct effects of changing precipitation on soil biogeochemistry, but also the indirect effects resulting from interactions between the hydrologic, C and N cycles. Finally, over all sampling events we observed lower mean N2O emissions (<1ngN2O-Ncm-2h-1) than reported for many other lowland tropical forests, perhaps reflecting a more general pattern of increasing relative N constraints to biological activity as one moves from drier to wetter portions of the lowland tropical forest biome.

Original languageEnglish
Pages (from-to)3195-3207
Number of pages13
JournalGlobal Change Biology
Volume17
Issue number10
DOIs
StatePublished - Oct 2011

Keywords

  • Climate change
  • Costa Rica
  • Experimental drought
  • Litter manipulation
  • Nitrogen cycle
  • Nitrous oxide
  • Osa Peninsula
  • Precipitation manipulation
  • Tropical rain forest

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