Soil carbon balance in a tropical grassland: Estimation of soil respiration and its partitioning using a semi-empirical model
| Autor: | Daniel Epron, L. Saint André, Yann Nouvellon, Blandine Caquet, A. Thongo M’bou, Antoine Kinana, A. De Grandcourt |
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| Přispěvatelé: | Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Institut National de la Recherche Agronomique (INRA)-Institut de Recherche pour le Développement (IRD)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Centre de Recherche sur la Durabilité et la Productivité des Plantations Industrielles (CRDPI), Ctr Rech Durabil & Prod Plantat Ind, Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] (EEF), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Unité de recherche Biogéochimie des Ecosystèmes Forestiers (BEF), Institut National de la Recherche Agronomique (INRA), Instituto de Astronomia, Geofisica e Ciencias Atmosfericas [Sao Paulo] (IAG), Universidade de São Paulo (USP), European project 'Quantification, understanding and prediction of carbon cycle, and other GHG gases, in Sub-Saharan Africa' (CarboAfrica) [STREP-CT-037132], Observatoire de Recherche en Environnement F-ORE-T, Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA), Instituto de Astronomia, Geofísica e Ciências Atmosféricas [São Paulo] (IAG) |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Seasonal variation [SDV]Life Sciences [q-bio] Atmospheric sciences 01 natural sciences WATER CONTENT Grassland Prairie Soil respiration Respiration du sol ROOT RESPIRATION Dry season APAR Photosynthèse Water content 2. Zero hunger Global and Planetary Change geography.geographical_feature_category CO2 EFFLUX U10 - Informatique mathématiques et statistiques IN-SITU Indice de surface foliaire Forestry 04 agricultural and veterinary sciences Variation saisonnière Photosynthetically active radiation TEMPERATE GRASSLAND INTERANNUAL VARIABILITY Partitioning Zone tropicale P33 - Chimie et physique du sol Growing season Tropical and subtropical grasslands savannas and shrublands Soil science 14. Life underwater 0105 earth and related environmental sciences geography LAND-USE Modèle de simulation Tropical grassland Soil carbon 15. Life on land SEASONAL-VARIATIONS LAI MINNESOTA GRASSLAND GROWING-SEASON 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Cycle du carbone Agronomy and Crop Science Dioxyde de carbone |
| Zdroj: | Agricultural and Forest Meteorology Agricultural and Forest Meteorology, Elsevier Masson, 2012, 158, pp.71-79. ⟨10.1016/j.agrformet.2012.02.008⟩ |
| ISSN: | 0168-1923 |
| DOI: | 10.1016/j.agrformet.2012.02.008⟩ |
| Popis: | In savannah and tropical grasslands, which account for 60% of grasslands worldwide, a large share of ecosystem carbon is located below ground due to high root:shoot ratios. Temporal variations in soil CO2 efflux (R-S) were investigated in a grassland of coastal Congo over two years. The objectives were (1) to identify the main factors controlling seasonal variations in R-S and (2) to develop a semi-empirical model describing R-S and including a heterotrophic component (R-H) and an autotrophic component (R-A). Plant above-ground activity was found to exert strong control over soil respiration since 71% of seasonal R-S variability was explained by the quantity of photosynthetically active radiation absorbed (APAR) by the grass canopy. We tested an additive model including a parameter enabling R-S partitioning into R-A and R-H. Assumptions underlying this model were that R-A mainly depended on the amount of photosynthates allocated below ground and that microbial and root activity was mostly controlled by soil temperature and soil moisture. The model provided a reasonably good prediction of seasonal variations in R-S (R-2 = 0.85) which varied between 5.4 mu mol m(-2) s(-1) in the wet season and 0.9 mu mol m(-2) s(-1) at the end of the dry season. The model was subsequently used to obtain annual estimates of R-S, R-A and R-H. In accordance with results reported for other tropical grasslands, we estimated that R-H accounted for 44% of R-S, which represented a flux similar to the amount of carbon brought annually to the soil from below-ground litter production. Overall, this study opens up prospects for simulating the carbon budget of tropical grasslands on a large scale using remotely sensed data. (C) 2012 Elsevier B.V. All rights reserved. |
| Databáze: | OpenAIRE |
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