Intensive field measurements of nitrous oxide emissions from a tropical agricultural soil

Citation
Pm. Crill et al., Intensive field measurements of nitrous oxide emissions from a tropical agricultural soil, GLOBAL BIOG, 14(1), 2000, pp. 85-95
Citations number
34
Categorie Soggetti
Earth Sciences
Journal title
GLOBAL BIOGEOCHEMICAL CYCLES
ISSN journal
08866236 → ACNP
Volume
14
Issue
1
Year of publication
2000
Pages
85 - 95
Database
ISI
SICI code
0886-6236(200003)14:1<85:IFMONO>2.0.ZU;2-J
Abstract
The amount of nitrous oxide (N2O) continues to increase in the atmosphere. Agricultural use of nitrogen fertilizers in the tropics is thought to be an important source of atmospheric N2O. High frequency, highly precise measur ements of the N2O flux were made with an automated system deployed in N fer tilized and unfertilized agricultural plots of papaya and corn in Costa Ric a for an entire corn crop growth to harvest cycle. N2O fluxes were as high as 64 ng N-N2O cm(-2) h(-1) from fertilized versus 12 ng N-N2O cm(-2) h(-1) from unfertilized corn and 28 ng N-N2O cm(-2) h(-1) from fertilized versus 4.6 ng N-N2O cm(-2) h(-1) from unfertilized papaya. Fertilized corn releas ed more N2O than fertilized papaya over the 125 days of the crop cycle, 1.8 3 kg N ha(-1) versus 1.37 kg N ha(-1). This represents a loss as N2O of 1.1 and 0.9% of the total N applied as ammonium nitrate to the corn and papaya , respectively. As has often been observed, N2O fluxes were highly variable . The fastest rates of emission were associated with fertilization and high soil moisture. A diurnal cycle in the fluxes was not evident probably due to the minimal day/night temperature fluctuations. Each chamber was measure d between 509 and 523 times over the course of the experiment. This allows us to evaluate the effect on constructed mean fluxes of lowered sampling fr equencies. Sampling each collar about once a day throughout the crop cycle (25% of the data set) could result in a calculated mean flux from any indiv idual chamber that can vary by as much as 20% even though the calculated me an would probably be within 10% of the mean of the complete data set. The u ncertainty increases very rapidly at lower sampling frequencies. For exampl e, if only 10% of the data set were used which would be the equivalent of s ampling every other day, a very high sampling frequency in terms of manual measurements, the calculated mean flux could vary by as much as 40% or more at any given site.