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Iryna Dronova

Publications and source records attributed to Iryna Dronova.

2 recordsLinked to original sources

Greenhouse gas emissions from ditches in oil palm plantations on tropical peatlands in Malaysia

Tropical peatlands, which store 20% of global peat carbon, are increasingly threatened by conversion to alternative land-uses such as oil palm plantations, pulp wood plantations, crop growth or other economic activities. This transformation involves peatland drainage, which lowers water tables, exposes peat to oxygen, and alters greenhouse gas (GHG) emissions: increasing carbon dioxide (CO 2 ) and nitrous oxide (N 2 O) fluxes while reducing methane (CH 4 ) emissions from soils. However, drainage ditches created in the process may become significant sources of CH 4 due to anoxic conditions. This study quantified GHG fluxes from drainage ditches in Sarawak, Malaysia, through spatial sampling conducted during the daytime in the transitional period between the drier and wetter seasons using portable trace gas analyzers. Median fluxes were 0.19 g CH 4 m −2 d −1 , 17.1 g CO 2 m −2 d −1 , and − 0.12 mg N 2 O m −2 d −1 . Physical water parameters such as pH, oxygen concentration, temperature, and oxidation–reduction potential were found to be significant drivers of GHG fluxes. The median emissions from ditches in one hectare of land were 5.84 kg CO 2 ha −1 d −1 , 2.78 kg CH 4 as CO 2 eq ha −1 d −1 , and − 0.001 kg N 2 O as CO 2 eq ha −1 d −1 . These findings underscore the role of drainage ditches as CH 4 sources in tropical peatland agriculture, highlighting the need for further research into GHG management in these modified landscapes.

Scientific Reports

The potential of satellite remote sensing time series to uncover wetland phenology under unique challenges of tidal setting

While growth history of vegetation within upland systems is well studied, plant phenology within coastal tidal systems is less understood. Landscape-scale, satellite-derived indicators of plant greenness may not adequately represent seasonality of vegetation biomass and productivity within tidal wetlands due to limitations of cloud cover, satellite temporal frequency and attenu-ation of plant signals by tidal flooding. However, understanding plant phenology is necessary to gain insight into aboveground biomass, photosynthetic activity, and carbon sequestration. In this study we use a modeling approach to estimate plant greenness throughout a year in tidal wet-lands located within the San Francisco Bay Area, USA. We used variables such as EVI history, temperature, and elevation to predict plant greenness on a 14-day timestep. We found this ap-proach accurately estimated plant greenness, with larger error observed within more dynamic restored wetlands, particularly at early post-restoration stages. We also found modeled EVI can be used as an input variable into greenhouse gas models, allowing for an estimate of carbon se-questration and gross primary production. Our strategy can be further developed in future re-search by assessing restoration and management effects on wetland phenological dynamics and through incorporating the entire Sentinel-2 time-series once it becomes available within Google Earth Engine.

California