To what extent are greenhouse-gas emissions offset by trees in a Sahelian silvopastoral system?
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To assess the extent to which trees in a semi-arid silvopastoral system (SPS) can offset the greenhouse-gas (GHG) emissions of the system's livestock, this study used two process-based models (STEP-GENDEC-N2O and DynACof) to simulate 9 years of agricultural activity and resulting emissions in a SPS that has been operating in sahelian Senegal. STEP-GENDEC-N2O simulated soil N2O and CO2 fluxes, plus growth of the herbaceous layer, while DynACof focused on the tree layer. Outputs from the models included simulated time series of vegetative growth, water fluxes, and emissions. This output was validated through the use of published data, and measurements that were made at the SPS. Overall, the outputs from STEP-GENDEC-N2O agreed well with validation data for water fluxes, soil N, soil C, herbaceous biomass, and N2O emissions. Good agreement was also found between the measured fluxes of the SPS ecosystem, and the simulated values that were generated by combining STEP-GENDEC-N2O's simulations (of the herbaceous layer's heterotrophic respiration, autotrophic respiration, and gross primary productivity (GPP)) with DynACof's simulations of the tree layer's autotrophic respiration and GPP. Among the insights gained from the simulations was that in this SPS's sandy soils, nitrification was the dominant process that leads to N2O emissions. Our results show that the trees, at their current density (81 ha−1) offset 18 % to 41 % of the GHG emissions from livestock. With further development, the model set-up can be used for estimating the GHG offset at other tree densities, and will be useful for guiding future policies regarding climate-change adaptation and mitigation in the management of the Sahel's SPSs.
| Originalsprog | Engelsk |
|---|---|
| Artikelnummer | 109780 |
| Tidsskrift | Agricultural and Forest Meteorology |
| Vol/bind | 343 |
| Antal sider | 14 |
| ISSN | 0168-1923 |
| DOI | |
| Status | Udgivet - 2023 |
Bibliografisk note
Funding Information:
This work was supported by the “Carbon sequestration and greenhouse gas emissions in (agro) silvopastoral ecosystems in the Sahelian CILSS states” (CaSSECS) project (FOOD/2019/410-169), which was itself supported by European Union under the “Development of Smart Innovation through Research in Agriculture” (DeSIRA) Initiative; and The European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement ( 871944 ). Additional funding for TT was provided by FORMAS (Dnr. 2021-00644 ) and the Swedish National Space Agency (SNSA 2021-00144 and 2021-00111 ).
Funding Information:
The authors thank AMMA-CATCH for funding the collection and analysis of in-situ soil samples; Cofélas Fassinou for sharing his vegetation data; and M. Dendoncker and C. Vincke for sharing relevant literature on allometric equations. We thank D.L. Moorhead for providing us with the GENDEC model. We acknowledge the NASA Langley Research Center's POWER Project (funded through the NASA Earth Science Directorate Applied Science Program) for the use of the POWER NASA climate products. The «Laboratoire des Moyens Analytiques» (UAR IMAGO—LAMA certified ISO9001:2015 ), at IRD («Institut de Recherche pour le Dévelopement») analyzed the soil samples in Dakar ( http://www.imago.ird.fr/moyens-analytiques/dakar ). We thank Dr. James Smith for revising the English.
Funding Information:
This work was supported by the “Carbon sequestration and greenhouse gas emissions in (agro) silvopastoral ecosystems in the Sahelian CILSS states” (CaSSECS) project (FOOD/2019/410-169), which was itself supported by European Union under the “Development of Smart Innovation through Research in Agriculture” (DeSIRA) Initiative; and The European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement (871944). Additional funding for TT was provided by FORMAS (Dnr. 2021-00644) and the Swedish National Space Agency (SNSA 2021-00144 and 2021-00111).The authors thank AMMA-CATCH for funding the collection and analysis of in-situ soil samples; Cofélas Fassinou for sharing his vegetation data; and M. Dendoncker and C. Vincke for sharing relevant literature on allometric equations. We thank D.L. Moorhead for providing us with the GENDEC model. We acknowledge the NASA Langley Research Center's POWER Project (funded through the NASA Earth Science Directorate Applied Science Program) for the use of the POWER NASA climate products. The «Laboratoire des Moyens Analytiques» (UAR IMAGO—LAMA certified ISO9001:2015), at IRD («Institut de Recherche pour le Dévelopement») analyzed the soil samples in Dakar (http://www.imago.ird.fr/moyens-analytiques/dakar). We thank Dr. James Smith for revising the English.
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