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Rodda SR, Fararoda R, Gopalakrishnan R, Jha N, Réjou-Méchain M, Couteron P, Barbier N, Alfonso A, Bako O, Bassama P, Behera D, Bissiengou P, Biyiha H, Brockelman WY, Chanthorn W, Chauhan P, Dadhwal VK, Dauby G, Deblauwe V, Dongmo N, Droissart V, Jeyakumar S, Jha CS, Kandem NG, Katembo J, Kougue R, Leblanc H, Lewis S, Libalah M, Manikandan M, Martin-Ducup O, Mbock G, Memiaghe H, Mofack G, Mutyala P, Narayanan A, Nathalang A, Ndjock GO, Ngoula F, Nidamanuri RR, Pélissier R, Saatchi S, Sagang LB, Salla P, Simo-Droissart M, Smith TB, Sonké B, Stevart T, Tjomb D, Zebaze D, Zemagho L, Ploton P. LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa. Sci Data 2024; 11:334. [PMID: 38575638 PMCID: PMC10995191 DOI: 10.1038/s41597-024-03162-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 03/19/2024] [Indexed: 04/06/2024] Open
Abstract
Accurate mapping and monitoring of tropical forests aboveground biomass (AGB) is crucial to design effective carbon emission reduction strategies and improving our understanding of Earth's carbon cycle. However, existing large-scale maps of tropical forest AGB generated through combinations of Earth Observation (EO) and forest inventory data show markedly divergent estimates, even after accounting for reported uncertainties. To address this, a network of high-quality reference data is needed to calibrate and validate mapping algorithms. This study aims to generate reference AGB datasets using field inventory plots and airborne LiDAR data for eight sites in Central Africa and five sites in South Asia, two regions largely underrepresented in global reference AGB datasets. The study provides access to these reference AGB maps, including uncertainty maps, at 100 m and 40 m spatial resolutions covering a total LiDAR footprint of 1,11,650 ha [ranging from 150 to 40,000 ha at site level]. These maps serve as calibration/validation datasets to improve the accuracy and reliability of AGB mapping for current and upcoming EO missions (viz., GEDI, BIOMASS, and NISAR).
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Affiliation(s)
- Suraj Reddy Rodda
- Forestry and Ecology Group, National Remote Sensing Centre, ISRO, Hyderabad, 500 037, India.
- Indian Institute of Space Science and Technology (IIST), Thiruvananthapuram, Kerala, India.
| | - Rakesh Fararoda
- Forestry and Ecology Group, National Remote Sensing Centre, ISRO, Hyderabad, 500 037, India
| | | | - Nidhi Jha
- College of Forestry, Oregon State University, Corvallis, OR, 97331, USA
| | | | - Pierre Couteron
- AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
| | - Nicolas Barbier
- AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
| | - Alonso Alfonso
- Center for Conservation and Sustainability, Smithsonian National Zoo and Conservation Biology Institute, Washington, DC, USA
| | - Ousmane Bako
- Ecole Nationale des Eaux et Forêts de Mbalmayo, Ministère Des Forêts Et De La Faune, Mbalmayo, Cameroon
| | - Patrick Bassama
- Ecole Nationale des Eaux et Forêts de Mbalmayo, Ministère Des Forêts Et De La Faune, Mbalmayo, Cameroon
| | - Debabrata Behera
- Department of Ecology, French Institute of Pondicherry, Pondicherry, 605 001, India
| | - Pulcherie Bissiengou
- Institut de pharmacopée et de médecine traditionnelle (Herbier National du Gabon), CENAREST, Libreville, Gabon
| | - Hervé Biyiha
- Ecole Nationale des Eaux et Forêts de Mbalmayo, Ministère Des Forêts Et De La Faune, Mbalmayo, Cameroon
| | - Warren Y Brockelman
- National Biobank of Thailand (NBT), National Science and Technology Development Agency, Klong Luang, Pathum Thani, Thailand
| | - Wirong Chanthorn
- Department of Environmental Technology and Management, Faculty of Environment, Kasetsart University, Bangkok, 10900, Thailand
| | - Prakash Chauhan
- Forestry and Ecology Group, National Remote Sensing Centre, ISRO, Hyderabad, 500 037, India
| | | | - Gilles Dauby
- AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
- Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun
- International Joint Laboratory DYCOFAC, IRD-UYI-IRGM, P.O Box 1857, Yaoundé, Cameroon
| | - Vincent Deblauwe
- International Institute of Tropical Agriculture (IITA), BP 2008 (Messa), Yaoundé, Cameroon
- Center for Tropical Research, Institute of the Environment and Sustainability, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Narcis Dongmo
- Ecole Nationale des Eaux et Forêts de Mbalmayo, Ministère Des Forêts Et De La Faune, Mbalmayo, Cameroon
| | - Vincent Droissart
- AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
- Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun
| | - Selvaraj Jeyakumar
- Department of Ecology, French Institute of Pondicherry, Pondicherry, 605 001, India
| | - Chandra Shekar Jha
- Forestry and Ecology Group, National Remote Sensing Centre, ISRO, Hyderabad, 500 037, India
| | - Narcisse G Kandem
- Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun
| | - John Katembo
- Institut Supérieur d'Etudes Agronomiques de Bengamisa, République Démocratique du Congo, Congo, France
| | - Ronald Kougue
- Ecole Nationale des Eaux et Forêts de Mbalmayo, Ministère Des Forêts Et De La Faune, Mbalmayo, Cameroon
| | - Hugo Leblanc
- AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
| | - Simon Lewis
- Department of Geography, University College London (UCL), London, UK
- School of Geography, University of Leeds, Leeds, UK
| | - Moses Libalah
- Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun
| | - Maya Manikandan
- Forestry and Ecology Group, National Remote Sensing Centre, ISRO, Hyderabad, 500 037, India
| | | | - Germain Mbock
- Ecole Nationale des Eaux et Forêts de Mbalmayo, Ministère Des Forêts Et De La Faune, Mbalmayo, Cameroon
| | - Hervé Memiaghe
- Institut de pharmacopée et de médecine traditionnelle (Herbier National du Gabon), CENAREST, Libreville, Gabon
| | - Gislain Mofack
- Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun
| | - Praveen Mutyala
- Forestry and Ecology Group, National Remote Sensing Centre, ISRO, Hyderabad, 500 037, India
| | - Ayyappan Narayanan
- Department of Ecology, French Institute of Pondicherry, Pondicherry, 605 001, India
| | - Anuttara Nathalang
- National Biobank of Thailand (NBT), National Science and Technology Development Agency, Klong Luang, Pathum Thani, Thailand
| | - Gilbert Oum Ndjock
- Dja Wildlife Reserve, Ministry of Forestry and Wildlife, Yaoundé, Cameroon
| | - Fernandez Ngoula
- Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun
| | - Rama Rao Nidamanuri
- Indian Institute of Space Science and Technology (IIST), Thiruvananthapuram, Kerala, India
| | - Raphaël Pélissier
- AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
| | - Sassan Saatchi
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA
| | - Le Bienfaiteur Sagang
- Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun
- Center for Tropical Research, Institute of the Environment and Sustainability, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Patrick Salla
- Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun
| | - Murielle Simo-Droissart
- Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun
| | - Thomas B Smith
- Center for Tropical Research, Institute of the Environment and Sustainability, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Bonaventure Sonké
- Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun
- International Joint Laboratory DYCOFAC, IRD-UYI-IRGM, P.O Box 1857, Yaoundé, Cameroon
| | - Tariq Stevart
- Missouri Botanical Garden, Africa & Madagascar Program, 4344 Shaw Blvd., St. Louis, Missouri, 63110, USA
| | - Danièle Tjomb
- Ecole Nationale des Eaux et Forêts de Mbalmayo, Ministère Des Forêts Et De La Faune, Mbalmayo, Cameroon
| | - Donatien Zebaze
- Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun
| | - Lise Zemagho
- Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun
| | - Pierre Ploton
- AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
- Plant Systematics and Ecology Laboratory, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroun
- International Joint Laboratory DYCOFAC, IRD-UYI-IRGM, P.O Box 1857, Yaoundé, Cameroon
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Schmitt S, Heuret P, Troispoux V, Beraud M, Cazal J, Chancerel É, Cravero C, Guichoux E, Lepais O, Loureiro J, Marande W, Martin-Ducup O, Vincent G, Chave J, Plomion C, Leroy T, Heuertz M, Tysklind N. Low-frequency somatic mutations are heritable in tropical trees Dicorynia guianensis and Sextonia rubra. Proc Natl Acad Sci U S A 2024; 121:e2313312121. [PMID: 38412128 DOI: 10.1073/pnas.2313312121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 01/22/2024] [Indexed: 02/29/2024] Open
Abstract
Somatic mutations potentially play a role in plant evolution, but common expectations pertaining to plant somatic mutations remain insufficiently tested. Unlike in most animals, the plant germline is assumed to be set aside late in development, leading to the expectation that plants accumulate somatic mutations along growth. Therefore, several predictions were made on the fate of somatic mutations: mutations have generally low frequency in plant tissues; mutations at high frequency have a higher chance of intergenerational transmission; branching topology of the tree dictates mutation distribution; and exposure to UV (ultraviolet) radiation increases mutagenesis. To provide insights into mutation accumulation and transmission in plants, we produced two high-quality reference genomes and a unique dataset of 60 high-coverage whole-genome sequences of two tropical tree species, Dicorynia guianensis (Fabaceae) and Sextonia rubra (Lauraceae). We identified 15,066 de novo somatic mutations in D. guianensis and 3,208 in S. rubra, surprisingly almost all found at low frequency. We demonstrate that 1) low-frequency mutations can be transmitted to the next generation; 2) mutation phylogenies deviate from the branching topology of the tree; and 3) mutation rates and mutation spectra are not demonstrably affected by differences in UV exposure. Altogether, our results suggest far more complex links between plant growth, aging, UV exposure, and mutation rates than commonly thought.
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Affiliation(s)
- Sylvain Schmitt
- CNRS, UMR EcoFoG (Agroparistech, Cirad, INRAE, Université des Antilles, Université de la Guyane), Kourou 97310, French Guiana
- CIRAD, UPR Forêts et Sociétés, Montpellier 34398, France
- Forêts et Sociétés, Université de Montpellier, CIRAD, Montpellier 34398, France
| | - Patrick Heuret
- AMAP, Université de Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier 34980, France
| | - Valérie Troispoux
- INRAE, UMR EcoFoG (Agroparistech, CNRS, Cirad, Université des Antilles, Université de la Guyane), Kourou 97310, French Guiana
| | - Mélanie Beraud
- Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique, Université Paris-Saclay, Evry 91057, France
| | - Jocelyn Cazal
- INRAE, UMR EcoFoG (Agroparistech, CNRS, Cirad, Université des Antilles, Université de la Guyane), Kourou 97310, French Guiana
| | | | - Charlotte Cravero
- INRAE, CNRGV, French Plant Genomic Resource Center, Castanet Tolosan 31326, France
| | - Erwan Guichoux
- University of Bordeaux, INRAE, BIOGECO, Cestas 33612, France
| | - Olivier Lepais
- University of Bordeaux, INRAE, BIOGECO, Cestas 33612, France
| | - João Loureiro
- Department of Life Sciences, Centre for Functional Ecology, Associate Laboratory TERRA, University of Coimbra, Coimbra 3000-456, Portugal
| | - William Marande
- INRAE, CNRGV, French Plant Genomic Resource Center, Castanet Tolosan 31326, France
| | | | - Gregoire Vincent
- AMAP, Université de Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier 34980, France
| | - Jérôme Chave
- Laboratoire Evolution et Diversité Biologique, UMR5174, CNRS, Université Paul Sabatier, IRD, Toulouse, 31077, France
| | | | - Thibault Leroy
- Department of Botany and Biodiversity Research, University of Vienna, Vienna A-1030, Austria
- GenPhySE, Université de Toulouse, INRAE, ENVT, Castanet Tolosan 31326, France
| | - Myriam Heuertz
- University of Bordeaux, INRAE, BIOGECO, Cestas 33612, France
| | - Niklas Tysklind
- INRAE, UMR EcoFoG (Agroparistech, CNRS, Cirad, Université des Antilles, Université de la Guyane), Kourou 97310, French Guiana
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Martin-Ducup O, Mofack G, Wang D, Raumonen P, Ploton P, Sonké B, Barbier N, Couteron P, Pélissier R. Evaluation of automated pipelines for tree and plot metric estimation from TLS data in tropical forest areas. Ann Bot 2021; 128:753-766. [PMID: 33876194 PMCID: PMC8557371 DOI: 10.1093/aob/mcab051] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Accepted: 04/15/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND AND AIMS Terrestrial LiDAR scanning (TLS) data are of great interest in forest ecology and management because they provide detailed 3-D information on tree structure. Automated pipelines are increasingly used to process TLS data and extract various tree- and plot-level metrics. With these developments comes the risk of unknown reliability due to an absence of systematic output control. In the present study, we evaluated the estimation errors of various metrics, such as wood volume, at tree and plot levels for four automated pipelines. METHODS We used TLS data collected from a 1-ha plot of tropical forest, from which 391 trees >10 cm in diameter were fully processed using human assistance to obtain control data for tree- and plot-level metrics. KEY RESULTS Our results showed that fully automated pipelines led to median relative errors in the quantitative structural model (QSM) volume ranging from 39 to 115 % at the tree level and 10 to 134 % at the 1-ha plot level. For tree-level metrics, the median error for the crown-projected area ranged from 46 to 59 % and that for the crown-hull volume varied from 72 to 88 %. This result suggests that the tree isolation step is the weak link in automated pipeline methods. We further analysed how human assistance with automated pipelines can help reduce the error in the final QSM volume. At the tree scale, we found that isolating trees using human assistance reduced the error in wood volume by a factor of 10. At the 1-ha plot scale, locating trees with human assistance reduced the error by a factor of 3. CONCLUSIONS Our results suggest that in complex tropical forests, fully automated pipelines may provide relatively unreliable metrics at the tree and plot levels, but limited human assistance inputs can significantly reduce errors.
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Affiliation(s)
| | - Gislain Mofack
- Plant Systematics and Ecology Laboratory, Higher Teacher’s Training College, University of Yaoundé I, Yaoundé, Cameroon
| | - Di Wang
- Department of Built Environment, School of Engineering, Aalto University, Helsinki, Finland
| | - Pasi Raumonen
- Mathematics, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland
| | - Pierre Ploton
- AMAP, Univ. Montpellier, IRD, CNRS, CIRAD, INRAE, Montpellier, France
| | - Bonaventure Sonké
- Plant Systematics and Ecology Laboratory, Higher Teacher’s Training College, University of Yaoundé I, Yaoundé, Cameroon
| | - Nicolas Barbier
- AMAP, Univ. Montpellier, IRD, CNRS, CIRAD, INRAE, Montpellier, France
| | - Pierre Couteron
- AMAP, Univ. Montpellier, IRD, CNRS, CIRAD, INRAE, Montpellier, France
| | - Raphaël Pélissier
- AMAP, Univ. Montpellier, IRD, CNRS, CIRAD, INRAE, Montpellier, France
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Momo ST, Ploton P, Martin-Ducup O, Lehnebach R, Fortunel C, Sagang LBT, Boyemba F, Couteron P, Fayolle A, Libalah M, Loumeto J, Medjibe V, Ngomanda A, Obiang D, Pélissier R, Rossi V, Yongo O, Sonké B, Barbier N. Leveraging Signatures of Plant Functional Strategies in Wood Density Profiles of African Trees to Correct Mass Estimations From Terrestrial Laser Data. Sci Rep 2020; 10:2001. [PMID: 32029780 PMCID: PMC7005061 DOI: 10.1038/s41598-020-58733-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Accepted: 01/16/2020] [Indexed: 11/09/2022] Open
Abstract
Wood density (WD) relates to important tree functions such as stem mechanics and resistance against pathogens. This functional trait can exhibit high intraindividual variability both radially and vertically. With the rise of LiDAR-based methodologies allowing nondestructive tree volume estimations, failing to account for WD variations related to tree function and biomass investment strategies may lead to large systematic bias in AGB estimations. Here, we use a unique destructive dataset from 822 trees belonging to 51 phylogenetically dispersed tree species harvested across forest types in Central Africa to determine vertical gradients in WD from the stump to the branch tips, how these gradients relate to regeneration guilds and their implications for AGB estimations. We find that decreasing WD from the tree base to the branch tips is characteristic of shade-tolerant species, while light-demanding and pioneer species exhibit stationary or increasing vertical trends. Across all species, the WD range is narrower in tree crowns than at the tree base, reflecting more similar physiological and mechanical constraints in the canopy. Vertical gradients in WD induce significant bias (10%) in AGB estimates when using database-derived species-average WD data. However, the correlation between the vertical gradients and basal WD allows the derivation of general correction models. With the ongoing development of remote sensing products providing 3D information for entire trees and forest stands, our findings indicate promising ways to improve greenhouse gas accounting in tropical countries and advance our understanding of adaptive strategies allowing trees to grow and survive in dense rainforests.
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Affiliation(s)
- Stéphane Takoudjou Momo
- Plant Systematic and Ecology Laboratory (LaBosystE), Department of Biology, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroon.,AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
| | - Pierre Ploton
- AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
| | | | - Romain Lehnebach
- UGent-Woodlab, Laboratory of Wood Technology, Department of Environment, Ghent University, Coupure Links 653, B-, 9000, Gent, Belgium
| | - Claire Fortunel
- AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
| | - Le Bienfaiteur Takougoum Sagang
- Plant Systematic and Ecology Laboratory (LaBosystE), Department of Biology, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroon.,AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
| | - Faustin Boyemba
- University of Kisangani, Democratic Republic of Congo, Kisangani, Republic of Congo
| | - Pierre Couteron
- AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
| | - Adeline Fayolle
- Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
| | - Moses Libalah
- Plant Systematic and Ecology Laboratory (LaBosystE), Department of Biology, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroon
| | - Joel Loumeto
- University of Marien Ngouabi, Brazzaville, Republic of Congo
| | - Vincent Medjibe
- Commission des Forêts d'Afrique Centrale (COMIFAC), Yaoundé, BP, 20818, Cameroon
| | - Alfred Ngomanda
- Institut de Recherche en Ecologie Tropicale (IRET/CENAREST), BP, 13354, Libreville, Gabon
| | | | - Raphaël Pélissier
- AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
| | - Vivien Rossi
- Plant Systematic and Ecology Laboratory (LaBosystE), Department of Biology, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroon.,Commission des Forêts d'Afrique Centrale (COMIFAC), Yaoundé, BP, 20818, Cameroon.,RU Forests and Societies, CIRAD, Yaoundé, Cameroon
| | - Olga Yongo
- University of Bangui, Bangui, Central African Republic
| | | | - Bonaventure Sonké
- Plant Systematic and Ecology Laboratory (LaBosystE), Department of Biology, Higher Teachers' Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroon
| | - Nicolas Barbier
- AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France.
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