Mapping soil organic carbon on a national scale: Towards an improved and updated map of Madagascar
| العنوان: | Mapping soil organic carbon on a national scale: Towards an improved and updated map of Madagascar |
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| المؤلفون: | Andry Andriamananjara, Ntsoa Ranaivoson, Tantely Razafimbelo, Michel Rabenarivo, Nandrianina Ramifehiarivo, Herintsitohaina Razakamanarivo, Frédérique Seyler, Andriambolantsoa Rasolohery, Alain Albrecht, Franck Razafindrabe, Michel Brossard, Clovis Grinand, Hery Razafimahatratra |
| المساهمون: | EMBRAPA Arroz e Feijão (EMBRAPA ARROZ E FEIJãO), Embrapa, 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), LRI-SRA, Laboratoire des Radio-isotopes, Université d'Antananarivo, LRI Laboratoire des RadioIsotopes, UMR 228 Espace-Dev, Espace pour le développement, Université des Antilles (UA)-Université de Guyane (UG)-Université de Montpellier (UM)-Université de La Réunion (UR)-Avignon Université (AU)-Université de Perpignan Via Domitia (UPVD)-Institut de Recherche pour le Développement (IRD), ORSTOM, 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), Laboratoire des Radio-Isotopes (LRI), Université d'Antananarivo, Université de Guyane (UG)-Université des Antilles (UA)-Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM) |
| المصدر: | Geoderma Régional Geoderma Régional, Elsevier, 2017, 9, pp.29-38. ⟨10.1016/j.geodrs.2016.12.002⟩ |
| بيانات النشر: | Elsevier BV, 2017. |
| سنة النشر: | 2017 |
| مصطلحات موضوعية: | 2. Zero hunger, Regosol, Soil map, 010504 meteorology & atmospheric sciences, [SDE.MCG]Environmental Sciences/Global Changes, Soil Science, Soil science, 04 agricultural and veterinary sciences, Soil carbon, 15. Life on land, Soil type, 01 natural sciences, Normalized Difference Vegetation Index, 13. Climate action, Digital soil mapping, 040103 agronomy & agriculture, Histosol, 0401 agriculture, forestry, and fisheries, Environmental science, Soil fertility, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences |
| الوصف: | Assessment of soil organic carbon stocks (SOCs) is highly relevant considering that SOCs is the central driver in climate change mitigation and soil fertility. In Madagascar, a first attempt at mapping SOCs on a national scale was undertaken in 2009 with previous soil data. Advanced research on soil carbon mapping on a global scale is required to enable better land use decisions. This study aims to (i) evaluate the drivers of soil organic carbon (SOC) storage in the first 30 cm soil layer on a national scale from spatially explicit explanatory environmental variables and a recent soil database and (ii) update the spatial distribution of SOCs at this scale through digital mapping. A spatial model was established using randomForest, a decision tree algorithm and based on 10 pedoclimatic, topographic, and vegetation variables. The model was developed with 1993 available soil plot data (collected from 2010 to 2015) and their environmental information (“VALSOL-Madagascar” database). These data were divided into two sets: a first set (n = 835) used for model calibration and a second set (n = 358) for external validation. Results showed that mean annual temperature (MAT, °C), mean annual precipitation (MAP, mm), elevation (m) and Normalized Difference Vegetation Index (NDVI) were the most important predictors of SOCs. The retained prediction model had a Root Mean Squared Error (RMSE) equal to 25.8 MgC·ha− 1. The predicted SOCs from fitted models ranged from 28 to 198 MgC·ha− 1 with total SOCs to 4137 TgC. Depending on soil type, Ferralsols (35 to 165 MgC·ha− 1) and Andosols (48 to 198 MgC·ha− 1) had relevant results related to the number of soil profiles (n = 856 and 171 respectively). Despite the need for in-depth analysis, the model and map produced in the present study has greatly improved our knowledge of the spatial distribution of SOCs in Madagascar and reduced uncertainty compared to the former map. This map provides new perspectives in sustainable land management in Madagascar. |
| تدمد: | 2352-0094 |
| DOI: | 10.1016/j.geodrs.2016.12.002 |
| DOI: | 10.1016/j.geodrs.2016.12.002⟩ |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6af3cf04fa3c57d821204091475d283 https://doi.org/10.1016/j.geodrs.2016.12.002 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi.dedup.....b6af3cf04fa3c57d821204091475d283 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 23520094 |
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| DOI: | 10.1016/j.geodrs.2016.12.002 |