scholarly journals Greenhouse gas emissions along a peat swamp forest degradation gradient in the Peruvian Amazon: soil moisture and palm roots effects

2018 ◽  
Vol 24 (4) ◽  
pp. 625-643 ◽  
Author(s):  
Jeffrey van Lent ◽  
Kristell Hergoualc’h ◽  
Louis Verchot ◽  
Oene Oenema ◽  
Jan Willem van Groenigen
2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Hannah V. Cooper ◽  
Stephanie Evers ◽  
Paul Aplin ◽  
Neil Crout ◽  
Mohd Puat Bin Dahalan ◽  
...  

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Hannah V. Cooper ◽  
Stephanie Evers ◽  
Paul Aplin ◽  
Neil Crout ◽  
Mohd Puat Bin Dahalan ◽  
...  

2021 ◽  
Author(s):  
Pierre Ganault ◽  
Johanne Nahmani ◽  
Yvan Capowiez ◽  
Isabelle Bertrand ◽  
Bruno Buatois ◽  
...  

<p>Accelerating climate change and biodiversity loss calls for agricultural practices that can sustain productivity with lower greenhouse gas emissions while maintaining biodiversity. Biodiversity-friendly agricultural practices have been shown to increase earthworm populations, but according to a recent meta-analyses, earthworms could increase soil CO<sub>2</sub> and N<sub>2</sub>O emissions by 33 and 42%, respectively. However, to date, many studies reported idiosyncratic and inconsistent effects of earthworms on greenhouse gases, indicating that the underlying mechanisms are not fully understood. Here we report the effects of earthworms (anecic, endogeic and their combination) with or without plants on CO<sub>2</sub> and N<sub>2</sub>O emissions in the presence of soil-moisture fluctuations from a mesocosms experiment. The experimental set-up was explicitly designed to account for the engineering effect of earthworms (i.e. burrowing) and investigate the consequences on soil macroporosity, soil water dynamic, and microbial activity. We found that plants reduced N<sub>2</sub>O emissions by 19.80% and that relative to the no earthworm control, the cumulative N<sub>2</sub>O emissions were 17.04, 34.59 and 44.81% lower in the anecic, both species and endogeic species, respectively. CO<sub>2</sub> emissions were not significantly affected by the plants or earthworms but depended on the interaction between earthworms and soil water content, an interaction that was also observed for the N<sub>2</sub>O emissions. Soil porosity variables measured by X-ray tomography suggest that the earthworm effects on CO<sub>2</sub> and N<sub>2</sub>O emissions were mediated by the burrowing patterns affecting the soil aeration and water status. N<sub>2</sub>O emissions decreased with the volume occupied by macropores in the deeper soil layer, whereas CO<sub>2</sub> emissions decreased with the macropore volume in the top soil layer. This study suggests that experimental setups without plants and in containers where the earthworm soil engineering effects via burrowing and casting on soil water status are minimized may be responsible, at least in part, for the reported positive earthworm effects on greenhouse gases.</p>


Agronomy ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 50
Author(s):  
Ralf Liebermann ◽  
Lutz Breuer ◽  
Tobias Houska ◽  
David Kraus ◽  
Gerald Moser ◽  
...  

The rising atmospheric CO2 concentrations have effects on the worldwide ecosystems such as an increase in biomass production as well as changing soil processes and conditions. Since this affects the ecosystem’s net balance of greenhouse gas emissions, reliable projections about the CO2 impact are required. Deterministic models can capture the interrelated biological, hydrological, and biogeochemical processes under changing CO2 concentrations if long-term observations for model testing are provided. We used 13 years of data on above-ground biomass production, soil moisture, and emissions of CO2 and N2O from the Free Air Carbon dioxide Enrichment (FACE) grassland experiment in Giessen, Germany. Then, the LandscapeDNDC ecosystem model was calibrated with data measured under current CO2 concentrations and validated under elevated CO2. Depending on the hydrological conditions, different CO2 effects were observed and captured well for all ecosystem variables but N2O emissions. Confidence intervals of ensemble simulations covered up to 96% of measured biomass and CO2 emission values, while soil water content was well simulated in terms of annual cycle and location-specific CO2 effects. N2O emissions under elevated CO2 could not be reproduced, presumably due to a rarely considered mineralization process of organic nitrogen, which is not yet included in LandscapeDNDC.


2018 ◽  
Vol 68 ◽  
pp. 03007
Author(s):  
Nur Arifatul Ulya ◽  
Efendi Agus Waluyo ◽  
Sri Lestari ◽  
Bambang Tejo Premonoi

Degradation of peat swamp forest have locally, regionally and regionally impact. This paper presents the impact of peat swamp forest degradation with a focus on the study of communities around peat swamp forest. In-depth interviews were used as a method to identify communities affected by peat swamp forest degradation. Cost of illness, the change of productivity is used as an approach to predict community losses as a result of peat swamp forest degradation. The results of the study show that peat swamp forest degradation has an impact on forest, provincial and regional communities. Peat swamp forest degradation causes a decrease in environmental quality, productivity and various health impacts on communities around the forest. Various economic sectors such as transportation, transportation, trade, tourism, health and education have a negative impact from forest and land fires as a result of peat swamp forest degradation.


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