Résumé

BIOMASS is ESA’s seventh Earth Explorer mission, scheduled for launch in 2022. The satellite will be the first P-band SAR sensor in space and will be operated in fully polarimetric interferometric and tomographic modes. The mission aim is to map forest above-ground biomass (AGB), forest height (FH) and severe forest disturbance (FD) globally with a particular focus on tropical forests. This paper presents the algorithms developed to estimate these biophysical parameters from the BIOMASS level 1 SAR measurements and their implementation in the BIOMASS level 2 prototype processor with a focus on the AGB product. The AGB product retrieval uses a physically-based inversion model, using ground-canceled level 1 data as input. The FH product retrieval applies a classical PolInSAR inversion, based on the Random Volume over Ground Model (RVOG). The FD product will provide an indication of where significant changes occurred within the forest, based on the statistical properties of SAR data. We test the AGB retrieval using modified airborne P-Band data from the AfriSAR and TropiSAR campaigns together with reference data from LiDAR-based AGB maps and plot-based ground measurements. For AGB estimation based on data from a single heading, comparison with reference data yields relative Root Mean Square Difference (RMSD) values mostly between 20% and 30%. Combining different headings in the estimation process significantly improves the AGB retrieval to slightly less than 20%. The experimental results indicate that the implemented retrieval scheme provides robust results that are within mission requirements.

Auteurs, date et publication :

Auteurs Francesco Banda , Davide Giudici , Thuy Le Toan , Mauro Mariotti d’Alessandro , Kostas Papathanassiou , Shaun Quegan , Guido Riembauer , Klaus Scipal , Maciej Soja , Stefano Tebaldini , Lars Ulander , Ludovic Villard

Publication : Remote Sensing

Date : 2020

Volume : 12

Issue : 6

Pages : 985

Catégorie(s)

#CIRAD #FORET Paracou

Résumé

Forest aboveground biomass is a key variable in remote sensing based forest monitoring. Active sensor systems, such as lidar, can generate detailed canopy height products. Relationships between canopy height and biomass are commonly established via regression analysis using information from ground-truth plots. In this way, many site-specific height-biomass relationships have been proposed in the literature and applied for mapping in regional contexts. However, such relationships are only valid within the specific forest type for which they were calibrated. A generalized relationship would facilitate biomass estimation across forest types and regions. In this study, a combination of lidar-derived and ancillary structural descriptors is proposed as an approach for generalization between forest types. Each descriptor is supposed to quantify a different aspect of forest structure, i.e., mean canopy height, maximum canopy height, maximum stand density, vertical heterogeneity and wood density. Airborne discrete return lidar data covering 194 ha of forest inventory plots from five different sites including temperate and tropical forests from Africa, Europe, North, Central and South America was used. Biomass predictions using the best general model (nRMSE = 12.4%, R2 = 0.74) were found to be almost as accurate as predictions using five site-specific models (nRMSE = 11.6%, R2 = 0.78). The results further allow interpretation about the importance of the employed structure descriptors in the biomass estimation and the mechanisms behind the relationships. Understanding the relationship between canopy structure and aboveground biomass and being able to generalize it across forest types are important steps towards consistent large scale biomass mapping and monitoring using airborne and potentially also spaceborne platforms.

Auteurs, date et publication :

Auteurs Nikolai Knapp , Rico Fischer , Victor Cazcarra-Bes , Andreas Huth

Publication : Remote Sensing of Environment

Date : 2020

Volume : 237

Pages : 111597

Catégorie(s)

#CIRAD #FORET Paracou

Résumé

The DynACof model was designed to model coffee agroforestry systems and study the trade-offs to e.g. optimize the system facing climate changes. The model simulates net primary productivity (NPP), growth, yield, mortality, energy and water balance of coffee agroforestry systems according to shade tree species and management. Several plot-scale ecosystem services are simulated by the model, such as production, canopy cooling effect, or potential C sequestration. DynACof uses metamodels derived from a detailed 3D process-based model (MAESPA) to account for complex spatial effects, while running fast. It also includes a coffee flower bud and fruit cohort module to better distribute fruit carbon demand over the year, a key feature to obtain a realistic competition between sinks. The model was parameterized and evaluated using a highly comprehensive database on a coffee agroforestry experimental site in Costa Rica. The fluxes simulated by the model were close to the measurements over a 5-year period (nRMSE = 26.27 for gross primary productivity; 28.22 for actual evapo-transpiration, 53.91 for sensible heat flux and 15.26 for net radiation), and DynACof satisfactorily simulated the yield, NPP, mortality and carbon stock for each coffee organ type over a 35-year rotation.

Auteurs, date et publication :

Auteurs Rémi Vezy , Guerric le Maire , Mathias Christina , Selena Georgiou , Pablo Imbach , Hugo G. Hidalgo , Eric J. Alfaro , Céline Blitz-Frayret , Fabien Charbonnier , Peter Lehner , Denis Loustau , Olivier Roupsard

Publication : Environmental Modelling & Software

Date : 2020

Volume : 124

Pages : 104609

Catégorie(s)

#ANR-Citation #CIRAD #FORET CoffeeFlux

Résumé

We observed strong positive relationships between soil properties and forest dynamics of growth and mortality across twelve primary lowland tropical forests in a phosphorus-poor region of the Guiana Shield. Average tree growth (diameter at breast height) increased from 0.81 to 2.1mmyr(-1) along a soil texture gradient from 0 to 67% clay, and increasing metal-oxide content. Soil organic carbon stocks in the top 30cm ranged from 30 to 118 tons C ha(-1), phosphorus content ranged from 7 to 600mgkg(-1) soil, and the relative abundance of arbuscular mycorrhizal fungi ranged from 0 to 50%, all positively correlating with soil clay, and iron and aluminum oxide and hydroxide content. In contrast, already low extractable phosphorus (Bray P) content decreased from 4.4 to <0.02mgkg(-1) in soil with increasing clay content. A greater prevalence of arbuscular mycorrhizal fungi in more clayey forests that had higher tree growth and mortality, but not biomass, indicates that despite the greater investment in nutrient uptake required, soils with higher clay content may actually serve to sustain high tree growth in tropical forests by avoiding phosphorus losses from the ecosystem. Our study demonstrates how variation in soil properties that retain carbon and nutrients can help to explain variation in tropical forest growth and mortality, but not biomass, by requiring niche specialization and contributing to biogeochemical diversification across this region.

Auteurs, date et publication :

Auteurs Jennifer L. Soong , Ivan A. Janssens , Oriol Grau , Olga Margalef , Clement Stahl , Leandro Van Langenhove , Ifigenia Urbina , Jerome Chave , Aurelie Dourdain , Bruno Ferry , Vincent Freycon , Bruno Herault , Jordi Sardans , Josep Penuelas , Erik Verbruggen

Publication : SCIENTIFIC REPORTS

Date : 2020

Volume : 10

Issue : 1

Catégorie(s)

#CIRAD #FORET Paracou

Résumé

Background and aims – The evolutionary history of Amazonia’s hyperabundant tropical tree species, also known as “hyperdominant” species, remains poorly investigated. We assessed whether the hyperdominant Eschweilera coriacea (DC.) S.A.Mori (Lecythidaceae)
represents a single genetically cohesive species, and how its genetic constitution relates to other species from the same clade with which it occurs sympatrically in French Guiana. Methods – We sampled 152 individuals in nine forest sites in French Guiana, representing
11 species of the genus Eschweilera all belonging to the Parvifolia clade, with emphasis on E. coriacea. Samples were genotyped at four simple sequence repeat (SSR) markers. We delimited gene pools, i.e., genetically coherent putative taxa, using STRUCTURE software and principal
component analysis. We compared the genetic assignment of individuals with their morphological species determination and estimated genetic diversity and differentiation for gene pools and species. We also estimated genome size using flow cytometry. Key results – SSR
profiles commonly displayed up to four alleles per genotype, suggesting that the investigated Eschweilera species bear a paleopolyploid signature. Flow cytometry suggested that the studied species are diploid with haploid genome sizes of 871–1046 Mbp. We detected five gene pools
and observed a good correspondence between morphological and genetic delimitation for Eschweilera sagotiana Miers and the undescribed morphospecies E. sp. 3 (which resembles E. grandiflora (Aubl.) Sandwith), and to a lesser extent for E. decolorans Sandwith and
E. micrantha (O.Berg) Miers. Eschweilera coriacea was the most genetically diverse species and included individuals assigned to each gene pool. Conclusions – We found no conclusive evidence for cryptic species within E. coriacea in French Guiana.
SSRs detected fewer gene pools than expected based on morphology in the Parvifolia clade but discriminated evolutionary relationships better than available plastid markers. A positive trend between demographic abundance of species and allelic richness illustrates that hyperdominants may have
a high evolutionary potential. This hypothesis can be tested using more powerful genomic data in combination with tree phenotypic trait variation and characterization of niche breadth, to enhance our understanding of the causes of hyperdominance in Amazonian trees.

Auteurs, date et publication :

Auteurs Myriam Heuertz , Henri Caron , Caroline Scotti-Saintagne , Pascal Pétronelli , Julien Engel , Niklas Tysklind , Sana Miloudi , Fernanda A. Gaiotto , Jérôme Chave , Jean-François Molino , Daniel Sabatier , João Loureiro , Katharina B. Budde

Publication : Plant Ecology and Evolution

Date : 2020

Volume : 153

Issue : 1

Pages : 67-81

Catégorie(s)

#CIRAD #FORET Paracou

Résumé

Atmospheric deposition is an important component of the nutrient cycles of terrestrial ecosystems, but field measurements are especially scarce in tropical regions. In this study we analysed 15 months of precipitation chemistry collected in an old growth tropical forest located in French Guiana. We measured nutrient inputs via bulk precipitation and throughfall and used the canopy budget model to estimate nutrient fluxes via canopy exchange and dry deposition. Based on this method we quantified net fluxes of macronutrients and compared their contribution to internal cycling rates via litterfall. Our results suggest that while atmospheric deposition of nitrogen was relatively high (13 kg ha−1 year−1), and mainly in organic forms, the N inputs via litterfall were an order of magnitude higher. In contrast to nitrogen, we found that atmospheric deposition of phosphorus (0.5 kg ha−1 year−1) supplied up to one third of the annual litterfall input to the forest floor. Most strikingly, combined annual inputs of potassium via atmospheric deposition (14 kg ha−1 year−1) and canopy leaching (22 kg ha−1 year−1) were three times larger than internal nutrient recycling via litterfall (11 kg ha−1 year−1). We conclude that atmospheric deposition of phosphorus and especially potassium may play an important role in sustaining the productivity of this old-growth tropical rainforest.

Auteurs, date et publication :

Auteurs Leandro Van Langenhove , Lore T. Verryckt , Laëtitia Bréchet , Elodie A. Courtois , Clement Stahl , Florian Hofhansl , Marijn Bauters , Jordi Sardans , Pascal Boeckx , Erik Fransen , Josep Peñuelas , Ivan A. Janssens

Publication : Biogeochemistry

Date : 2020

Volume : 149

Issue : 2

Pages : 175-193

Catégorie(s)

#CIRAD #FORET Paracou

Résumé

Despite their low contribution to forest carbon stocks, lianas (woody vines) play an important role in the carbon dynamics of tropical forests. As structural parasites, they hinder tree survival, growth and fecundity; hence, they negatively impact net ecosystem productivity and long-term carbon sequestration. Competition (for water and light) drives various forest processes and depends on the local abundance of resources over time. However, evaluating the relative role of resource availability on the interactions between lianas and trees from empirical observations is particularly challenging. Previous approaches have used labour-intensive and ecosystem-scale manipulation experiments, which are infeasible in most situations. We propose to circumvent this challenge by evaluating the uncertainty of water and light capture processes of a process-based vegetation model (ED2) including the liana growth form. We further developed the liana plant functional type in ED2 to mechanistically simulate water uptake and transport from roots to leaves, and start the model from prescribed initial conditions. We then used the PEcAn bioinformatics platform to constrain liana parameters and run uncertainty analyses. Baseline runs successfully reproduced ecosystem gas exchange fluxes (gross primary productivity and latent heat) and forest structural features (leaf area index, aboveground biomass) in two sites (Barro Colorado Island, Panama and Paracou, French Guiana) characterized by different rainfall regimes and levels of liana abundance. Model uncertainty analyses revealed that water limitation was the factor driving the competition between trees and lianas at the drier site (BCI), and during the relatively short dry season of the wetter site (Paracou). In young patches, light competition dominated in Paracou but alternated with water competition between the wet and the dry season on BCI according to the model simulations. The modelling workflow also identified key liana traits (photosynthetic quantum efficiency, stomatal regulation parameters, allometric relationships) and processes (water use, respiration, climbing) driving the model uncertainty. They should be considered as priorities for future data acquisition and model development to improve predictions of the carbon dynamics of liana-infested forests. Synthesis. Competition for water plays a larger role in the interaction between lianas and trees than previously hypothesized, as demonstrated by simulations from a process-based vegetation model.

Auteurs, date et publication :

Auteurs Félicien Meunier , Hans Verbeeck , Betsy Cowdery , Stefan A. Schnitzer , Chris M. Smith‐Martin , Jennifer S. Powers , Xiangtao Xu , Martijn Slot , Hannes P. T. De Deurwaerder , Matteo Detto , Damien Bonal , Marcos Longo , Louis S. Santiago , Michael Dietze

Publication : Journal of Ecology

Date : 2025

Volume : 109

Issue : 1

Pages : 519-540

Catégorie(s)

#CIRAD #FORET Paracou

Résumé

In coffee, fruit production on a given shoot drops after some years of high yield, triggering pruning to induce resprouting. The timing of pruning is a crucial farmer's decision affecting yield and labour. One reason for fruit production drop could be the exhaustion of resources, particularly the non-structural carbohydrates (NSC). To test this hypothesis in a Coffea L. arabica agroforestry system, we measured the concentrations of NSC, carbon (C) and nitrogen (N) in leaves, stems and stumps of the coffee plants, 2 and 5 years after pruning. We also compared shaded vs full sun plants. For that purpose, both analytical reference and visible and near infrared reflectance spectroscopy (VNIRS) methods were used. As expected, concentrations of biochemical variables linked to photosynthesis activity (N, glucose, fructose, sucrose) decreased from leaves to stems, and then to stumps. In contrast, variables linked more closely to plant structure and reserves (total C, C:N ratio, starch concentration) were higher in long lifespan organs like stumps. Shading had little effect on most measured parameters, contrary to expectations. Concentrations of N, glucose and fructose were higher in 2-year-old organs. Conversely, starch concentration in perennial stumps was three times higher 5 years after pruning than 2 years after pruning, despite high fruit production. Therefore, the drop in fruit production occurring after 5-6 years was not due to a lack of NSC on plant scale. Starch accumulation in perennial organs concurrently to other sinks, such as fruit growth, could be considered as a 'survival' strategy, which may be a relic of the behaviour of wild coffee (a tropical shade-tolerant plant). This study confirmed that VNIRS is a promisingly rapid and cost-effective option for starch monitoring (coefficient of determination for validation, R2val = 0.91), whereas predictions were less accurate for soluble sugars, probably due to their too similar spectral signature.

Auteurs, date et publication :

Auteurs Aurélie Cambou , Philippe Thaler , Anne Clément-Vidal , Bernard G. Barthès , Fabien Charbonnier , Karel Van den Meersche , Maria E. Aguilar Vega , Jacques Avelino , Fabrice Davrieux , Jean-Pierre Labouisse , Elias de Melo Virginio Filho , Philippe Deleporte , Didier Brunet , Peter Lehner , Olivier Roupsard

Publication : Tree Physiology

Date : 2021

Volume : 41

Issue : 12

Pages : 2308-2325

Catégorie(s)

#ANR-Citation #CIRAD #FORET CoffeeFlux

Auteurs, date et publication :

Auteurs Roberto Cazzolla , Peter B Reich , Javier G P Gamarra , Tom Crowther , Cang Hui , Angelica Maria , Almeyda Zambrano , Esteban Alvarez-davila , Alejandro Araujo-murakami , Valerio Avitabile , Gerardo A Aymard , Radomir Balazy , Chris Baraloto , Jorcely G Barroso , Meredith L Bastian , Philippe Birnbaum , Robert Bitariho , Jan Bogaert , Frans Bongers , Olivier Bouriaud

Publication : PNAS

Date : 2025

Volume : 119

Issue : 6

Pages : 1–11

Catégorie(s)

#CIRAD #FORET Paracou

Résumé

Plant-associated microorganisms have been shown to aid plants in coping with drought. However, the underlying mechanisms are poorly understood and there is uncertainty regarding which microbial taxa and functions are mostly involved. We explored these issues in Neotropical rainforests and identified foliar microorganisms that may play a role in drought tolerance of trees. Our objectives were to (i) test the relationship between drought tolerance traits in Neotropical trees and the diversity and composition of their foliar fungal and bacterial communities and (ii) identify leaf microbial taxa positively or negatively associated with drought tolerance traits. Our results showed that the composition of leaf fungal communities but not bacterial communities was related to drought tolerance. We identified 27 fungal amplicon sequence variants whose relative abundance covaried with drought tolerance traits. Most variants were assigned to fungal clades often described as plant pathogens and increased in abundance with drought susceptibility. This greater relative abundance of leaf pathogens in the most drought-susceptible trees might increase their vulnerability to climate change. Moreover, we identified the Strelitziana and Ochroconis fungal genera as potential candidates for future culture-dependent studies aimed at understanding and improving drought tolerance in Neotropical forests.[Formula: see text] Copyright © 2022 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .

Auteurs, date et publication :

Auteurs Marine C Cambon , Dinïa Cartry , Emilie Chancerel , Camille Ziegler , Sebastien Levionnois , Sabrina Coste , Clément Stahl , Sylvain Delzon , Marc Buée , Benoit Burban , Jocelyne Cazal , Tania Fort , Jean-Yves Goret , Patrick Heuret , Patrick Léger , Elianne Louisanna , Yves Ritter , Damien Bonal , Mélanie Roy , Heidy Schimann

Publication : Phytobiomes Journal

Date : 2025

Issue : 1

Pages : 1–61

Catégorie(s)

#CIRAD #FORET Paracou