To what extent are greenhouse-gas emissions offset by trees in a Sahelian silvopastoral system?

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Standard

To what extent are greenhouse-gas emissions offset by trees in a Sahelian silvopastoral system? / Agbohessou, Yélognissè; Delon, Claire; Mougin, Eric; Grippa, Manuela; Tagesson, Torbern; Diedhiou, Moussa; Ba, Seydina; Ngom, Daouda; Vezy, Rémi; Ndiaye, Ousmane; Assouma, Mohamed H.; Diawara, Mamadou; Roupsard, Olivier.

I: Agricultural and Forest Meteorology, Bind 343, 109780, 2023.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Agbohessou, Y, Delon, C, Mougin, E, Grippa, M, Tagesson, T, Diedhiou, M, Ba, S, Ngom, D, Vezy, R, Ndiaye, O, Assouma, MH, Diawara, M & Roupsard, O 2023, 'To what extent are greenhouse-gas emissions offset by trees in a Sahelian silvopastoral system?', Agricultural and Forest Meteorology, bind 343, 109780. https://doi.org/10.1016/j.agrformet.2023.109780

APA

Agbohessou, Y., Delon, C., Mougin, E., Grippa, M., Tagesson, T., Diedhiou, M., Ba, S., Ngom, D., Vezy, R., Ndiaye, O., Assouma, M. H., Diawara, M., & Roupsard, O. (2023). To what extent are greenhouse-gas emissions offset by trees in a Sahelian silvopastoral system? Agricultural and Forest Meteorology, 343, [109780]. https://doi.org/10.1016/j.agrformet.2023.109780

Vancouver

Agbohessou Y, Delon C, Mougin E, Grippa M, Tagesson T, Diedhiou M o.a. To what extent are greenhouse-gas emissions offset by trees in a Sahelian silvopastoral system? Agricultural and Forest Meteorology. 2023;343. 109780. https://doi.org/10.1016/j.agrformet.2023.109780

Author

Agbohessou, Yélognissè ; Delon, Claire ; Mougin, Eric ; Grippa, Manuela ; Tagesson, Torbern ; Diedhiou, Moussa ; Ba, Seydina ; Ngom, Daouda ; Vezy, Rémi ; Ndiaye, Ousmane ; Assouma, Mohamed H. ; Diawara, Mamadou ; Roupsard, Olivier. / To what extent are greenhouse-gas emissions offset by trees in a Sahelian silvopastoral system?. I: Agricultural and Forest Meteorology. 2023 ; Bind 343.

Bibtex

@article{7487fa367bd84a088567ccbf511920d4,
title = "To what extent are greenhouse-gas emissions offset by trees in a Sahelian silvopastoral system?",
abstract = "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.",
keywords = "Greenhouse gas emissions, Livestock, Process-based model, Silvopastoral systems, Trees",
author = "Y{\'e}logniss{\`e} Agbohessou and Claire Delon and Eric Mougin and Manuela Grippa and Torbern Tagesson and Moussa Diedhiou and Seydina Ba and Daouda Ngom and R{\'e}mi Vezy and Ousmane Ndiaye and Assouma, {Mohamed H.} and Mamadou Diawara and Olivier Roupsard",
note = "Publisher Copyright: {\textcopyright} 2023",
year = "2023",
doi = "10.1016/j.agrformet.2023.109780",
language = "English",
volume = "343",
journal = "Agricultural and Forest Meteorology",
issn = "0168-1923",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - To what extent are greenhouse-gas emissions offset by trees in a Sahelian silvopastoral system?

AU - Agbohessou, Yélognissè

AU - Delon, Claire

AU - Mougin, Eric

AU - Grippa, Manuela

AU - Tagesson, Torbern

AU - Diedhiou, Moussa

AU - Ba, Seydina

AU - Ngom, Daouda

AU - Vezy, Rémi

AU - Ndiaye, Ousmane

AU - Assouma, Mohamed H.

AU - Diawara, Mamadou

AU - Roupsard, Olivier

N1 - Publisher Copyright: © 2023

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Greenhouse gas emissions

KW - Livestock

KW - Process-based model

KW - Silvopastoral systems

KW - Trees

U2 - 10.1016/j.agrformet.2023.109780

DO - 10.1016/j.agrformet.2023.109780

M3 - Journal article

AN - SCOPUS:85175093383

VL - 343

JO - Agricultural and Forest Meteorology

JF - Agricultural and Forest Meteorology

SN - 0168-1923

M1 - 109780

ER -

ID: 374659267