Éditeur(s) : HAL CCSD Ecological Society of America
Résumé : Line transect surveys are widely used in neotropical rainforests to estimate the population abundance of medium- and large-sized vertebrates. The use of indices such as Encounter Rate has been criticized because the probability of animal detection may fluctuate due to the heterogeneity of environmental conditions among sites. In addition, the morphological and behavioral characteristics (biological traits) of species affect their detectability. In this study, we compared the extent to which environmental conditions and species' biological traits bias abundance estimates in terra firme rainforests in French Guiana. The selected environmental conditions included both physical conditions and forest structure covariates, while the selected biological traits included the morphological and behavioral characteristics of species. We used the distance sampling method to model the detection probability as an explicit function of environmental conditions and biological traits and implemented a model selection process to determine the relative importance of each group of covariates. Biological traits contributed to the variability of animal detectability more than environmental conditions, which had only a marginal effect. Detectability was best for large animals with uniform or disruptive markings that live in groups in the canopy top. Detectability was worst for small, solitary, terrestrial animals with mottled markings. In the terra firme rainforests which represent ~80% of the Amazonia and Guianas regions, our findings support the use of relative indices such as the encounter rate to compare population abundance between sites in species-specific studies. Even though terra firme rainforests may appear similar between regions of Amazonia and the Guianas, comparability must be ensured, especially in forests disturbed by human activity. The detection probability can be used as an indicator of species' vulnerability to hunting and, thus, to the risk of local extinction. Only a few biological trait covariates are required to correctly estimate the detectability of the majority of medium- and large-sized vertebrates. Thus, a biological trait model could be useful in predicting the detection probabilities of rare, uncommon or localized species for which few data are available to fit the detection function.
ISSN: 1051-0761

hal-01555267
https://hal.archives-ouvertes.fr/hal-01555267
DOI : 10.1002/eap.1549
PRODINRA : 396614
PUBMED : 28419598

Éditeur(s) : HAL CCSD MDPI
Résumé : International audience
The future of tropical managed forests is threatened by climate change. In anticipation of the increase in the frequency of drought episodes predicted by climatic models for intertropical regions, it is essential to study commercial trees' resilience and vulnerability to water stress by identifying potential interaction effects between selective logging and stress due to a lack of water. Focusing on 14 species representing a potential or acknowledged commercial interest for wood production in the Guiana Shield, a joint model coupling growth and mortality for each species was parametrized, including a climatic variable related to water stress and the quantity of aboveground biomass lost after logging. For the vast majority of the species, water stress had a negative impact on growth rate, while the impact of logging was positive. The opposite results were observed for the mortality. Combining results from growth and mortality models, we generate vulnerability profiles and ranking from species apparently quite resistant to water stress (Chrysophyllum spp., Goupia glabra Aubl., Qualea rosea Aubl.), even under logging pressure, to highly vulnerable species (Sterculia spp.). In light of our results, forest managers in the Guiana Shield may want to conduct (i) a conservation strategy of the most vulnerable species and (ii) a diversification of the logged species. Conservation of the already-adapted species may also be considered as the most certain way to protect the tropical forests under future climates.
ISSN: 1999-4907

hal-01315432
https://hal-sde.archives-ouvertes.fr/hal-01315432
DOI : 10.3390/f7050105

Éditeur(s) : HAL CCSD
Résumé : Guide
La mise en place de la gestion forestière en Guyane est très récente: ce n’est qu’à partir de 1990 et de la prise de conscience consécutive à la conférence de Rio qu’une véritable politique de gestion et de valorisation de la forêt guyanaise est entreprise par l’ONF sous la commande de l’Etat. Depuis ses débuts, cet effort porté par les gestionnaires forestiers publics a été accompagné par toute la communauté scientifique guyanaise sous l’égide d’un groupement d’intérêt scientifique focalisé sur le milieu forestier : le GIS SILVOLAB, aujourd’hui élargi aux autres disciplines sous le nom d’IRISTA. Les développements méthodologiques réalisés depuis 1994 avec la communauté scientifique ont déjà permis la rédaction d’un guide pratique d’aménagement spécifique à la Guyane (ONF mars 2009). Après plus de 20 ans de recherche (ce qui à l’échelle du pas de temps forestier est très peu), il demeure un manque de connaissances sur le fonctionnement de la forêt dense tropicale humide et plus particulièrement sur les effets du milieu sur la distribution des espèces et la dynamique du peuplement. En attendant que la recherche apporte des réponses aux questions qui restent posées, ce sont aujourd’hui les connaissances acquises en écologie des communautés et des populations avec nos partenaires de l’UMR Ecofog (regroupement d’AgroParisTech, de l’INRA, du CIRAD, du CNRS et l’Université des Antilles et de la Guyane) qui permettent la rédaction de ce premier guide sylvicole applicable aux forêts guyanaises. Le programme BGF «Biodiversité et Gestion Forestière» financé par le Ministère chargé de l’Environnement sur l’appel à projet ECOFOR (2006) a particulièrement contribué à la réflexion engagée pour ce document, de même que les travaux de fonds engagés depuis de nombreuses années par le CIRAD sur le site de Paracou et par l’ONF sur les forêts pilotes de Risquetout et d’Organabo (réseau de placettes permanentes GUYAFOR). Le programme DYGEPOP, financé plus récemment par l’Union Européenne (PO-FEDER) a permis de compléter et synthétiser ces résultats pour aboutir à la rédaction de ce guide. Le présent guide de sylviculture a pour objectif de synthétiser l’ensemble des connaissances scientifiques acquises au cours de ces dernières années concernant l’écologie des forêts guyanaises et leurs applications en termes de règles sylvicoles. Le guide s’accompagne d’annexes donnant des descriptifs précis des dispositifs scientifiques dont sont tirés ces résultats, ainsi qu’une revue bibliographique exhaustive des études exploitées pour asseoir ces premières bases sylvicoles qui restent évidemment largement améliorables. En complément de ce guide, sera rédigée, une note d’application régionale qui constituera une déclinaison opérationnelle des actions à mettre en œuvre qui viendra compléter ou modifier les différents processus. Nous tenons à préciser ici que ce document ne concerne que la sylviculture pour le bois d’œuvre. L’exploitation de bois énergie constitue en soi un changement d’objectif qui amène des préconisations différentes notamment dans le choix des tiges et dans le niveau de prélèvements et fera l’objet en temps et en heure d’un document spécifique.
https://hal-agroparistech.archives-ouvertes.fr/hal-01503730

hal-01503730
https://hal-agroparistech.archives-ouvertes.fr/hal-01503730

Éditeur(s) : HAL CCSD Public Library of Science
Résumé : Precise mapping of above-ground biomass (AGB) is a major challenge for the success of REDD+ processes in tropical rainforest. The usual mapping methods are based on two hypotheses: a large and long-ranged spatial autocorrelation and a strong environment influence at the regional scale. However, there are no studies of the spatial structure of AGB at the landscapes scale to support these assumptions. We studied spatial variation in AGB at various scales using two large forest inventories conducted in French Guiana. The dataset comprised 2507 plots (0.4 to 0.5 ha) of undisturbed rainforest distributed over the whole region. After checking the uncertainties of estimates obtained from these data, we used half of the dataset to develop explicit predictive models including spatial and environmental effects and tested the accuracy of the resulting maps according to their resolution using the rest of the data. Forest inventories provided accurate AGB estimates at the plot scale, for a mean of 325 Mg.ha^-1. They revealed high local variability combined with a weak autocorrelation up to distances of no more than10 km. Environmental variables accounted for a minor part of spatial variation. Accuracy of the best model including spatial effects was 90 Mg.ha^-1 at plot scale but coarse graining up to 2-km resolution allowed mapping AGB with accuracy lower than 50 Mg.ha^-1. Whatever the resolution, no agreement was found with available pan-tropical reference maps at all resolutions. We concluded that the combined weak autocorrelation and weak environmental effect limit AGB maps accuracy in rainforest, and that a trade-off has to be found between spatial resolution and effective accuracy until adequate “wall-to-wall” remote sensing signals provide reliable AGB predictions. Waiting for this, using large forest inventories with low sampling rate (<0.5%) may be an efficient way to increase the global coverage of AGB maps with acceptable accuracy at kilometric resolution
ISSN: 1932-6203

hal-01269305
https://hal.archives-ouvertes.fr/hal-01269305
DOI : 10.1371/journal.pone.0138456
PRODINRA : 326359

Éditeur(s) : HAL CCSD Springer Verlag
Résumé : Geomorphic landscape features have been suggested as indicators of forest diversity. However, their explanatory power has not yet been explicitly tested at a regional scale in tropical rainforest. We used forest inventories conducted according to a stratified sampling design (3,132 plots in 111 transects at 33 sites) and holistic multi-scale geomorphological mapping derived from a Shuttle Radar Topography Mission digital elevation model to describe and explain spatial patterns in floristic composition across French Guiana (80,000 km2). We measured and identified 123,906 trees with DBH C20 cm and used constrained and unconstrained ordinations to analyze variations in the abundance of 221 taxa and 51 families. Variance partitioning and variograms were used to detect spatial patterns in species composition, compare the explanatory power of spatial and environmentalfactors, and select the variables that best explain forest composition. Strong floristic patterns corresponded to a major latitudinal gradient and significant sub-regional floristic structure. Geomorphological landscapes shaped by historic climate fluctuations and major geological events successfully captured these patterns and explained the variation in abundance of 80 taxa, corresponding to 65 % of the inventoried trees. Our findings suggest that long-term forest dynamics are under substantial ‘‘geomorphographic control’’. A geomorphological perspective on landscapes that incorporates current and past environmental filters and historical biogeographical processes could thus be used more systematically in tropical regions for regional planning and forest conservation
ISSN: 0960-3115

hal-01204224
https://hal.archives-ouvertes.fr/hal-01204224
DOI : 10.1007/s10531-014-0854-8
PRODINRA : 295767

Éditeur(s) : HAL CCSD Cambridge University Press (CUP)
Résumé : International audience
Whereas broad-scale Amazonian forest types have been shown to influence the structure of the communities of medium-to large-bodied vertebrates, their natural heterogeneity at smaller scale or within the terra firme forests remains poorly described and understood. Diversity indices of such communities and the relative abundance of the 21 most commonly observed species were compared from standardized line-transect data across 25 study sites distributed in undisturbed forests in French Guiana. We first assessed the relevance of a forest typology based on geomorphological landscapes to explain the observed heterogeneity. As previously found for tree beta-diversity patterns, this new typology proved to be a non-negligible factor underlying the beta diversity of the communities of medium-to large bodied vertebrates in French Guianan terra firme forests. Although the species studied are almost ubiquitous across the region, they exhibited habitat preferences through significant variation in abundance and in their association index with the different landscape types. As terra firme forests represent more than 90% of the Amazon basin, characterizing their heterogeneity-including faunal communities-is a major challenge in neotropical forest ecology.
ISSN: 0266-4674

hal-01502647
https://hal-agroparistech.archives-ouvertes.fr/hal-01502647
DOI : 10.1017/S0266467415000255

Éditeur(s) : HAL CCSD
Résumé : International audience
The Black Curassow (Crax alector) is a large game bird with Vulnerable conservation status found in north-centralSouth America. We examined its distributional pattern across French Guiana using a large number of environmentaldescriptors at 3 scales of analysis: landscape, forest type, and microhabitat. We used a hierarchical model withtemporary emigration and imperfect detection for data collected by standard distance sampling methods at 35study sites. At the landscape scale, Black Curassow density decreased with hunting pressure and increased withsteeper slopes in both hunted and unhunted areas. Topography appeared to be a good proxy for Black Curassowecological requirements and probably reflected habitat quality. At the forest scale, population density wasnegatively correlated with the abundance of palms and Mimosoideae and positively correlated with the abundanceof Lauraceae. Botanical families did not directly influence Black Curassow distribution, but rather determined spatialpatterns by being markers of a particular forest type. At the microhabitat scale, Black Curassows used hilltops morefrequently than other parts of the local topographical gradient. Our multiscale analysis shows that this species’distribution can be explained by biotic or abiotic conditions, regardless of the scale. For conservation, werecommend maintaining connectivity between Black Curassow populations separated by hunted areas. Ourpredicted densities could be used to adapt hunting quotas across French Guiana’s forests. We show that combiningfield and remote sensing data helps to understand the ecological processes responsible for Black Curassow habitatrelationships.
The Condor Ornithological Applications

hal-01455653
https://hal.archives-ouvertes.fr/hal-01455653
https://hal.archives-ouvertes.fr/hal-01455653/document
https://hal.archives-ouvertes.fr/hal-01455653/file/condor-15-28.1.pdf
DOI : 10.1650/CONDOR-15-28.1

Éditeur(s) : HAL CCSD Elsevier
Résumé : Analyses of tree diversity and community composition in tropical rain forests are usually based either on general herbarium data or on a restricted number of botanical plots. Despite their high taxonomic accuracy, both types of data are difficult to extrapolate to landscape scales. Meanwhile, forestry surveys provide quantitative occurrence data on large areas, and are thus increasingly used for landscape-scale analyses of tree diversity. However, the reliability of these approaches has been challenged because of the ambiguity of the common (vernacular) names used by foresters and the complexity of tree taxonomy in those hyper-diverse communities.We developed and tested a novel approach to evaluate taxonomic reliability of forestry surveys and to propagate the resulting uncertainty in the estimates of several diversity indicators (alpha and beta entropy, Fisher-alpha and Sørensen similarity). Our approach is based on Monte-Carlo processes that simulate communities by taking into account the expected accuracy and reliability of common names. We tested this method in French Guiana, on 9 one-hectare plots (4279 trees – DBH ⩾ 10 cm) for which both common names and standardized taxonomic determinations were available. We then applied our method of community simulation on large forestry inventories (560 ha) at the landscape scale and compared the diversity indices obtained for 10 sites with those computed from precise botanical determination situated at the same localities.We found that taxonomic reliability of forestry inventories varied from 22% (species level) to 83% (family level) in this Amazonian region. Indices computed directly with raw forestry data resulted in incorrect values, except for Gini–Simpson beta-diversity. On the contrary, our correction method provides more accurate diversity estimates, highly correlated with botanical measurements, for almost all diversity indices at both regional and local scales. We obtained a robust ranking of sites consistent with those shown by botanical inventories.These results show that (i) forestry inventories represent a significant part of taxonomic information, (ii) the relative diversity of regional sites can be successfully ranked using forestry inventory data using our method and (iii) forestry inventories can valuably contribute to the detection of large-scale diversity patterns when biases are well-controlled and corrected.The tools we developed as R-functions are available in supplementary material and can be adapted with local parameters to be used for forest management and conservation issues in other regional contexts
ISSN: 0378-1127

hal-01204219
https://hal.archives-ouvertes.fr/hal-01204219
DOI : 10.1016/j.foreco.2014.05.045
PRODINRA : 286554

Éditeur(s) : HAL CCSD Ecole nationale du génie rural
Résumé :  
absent
ISSN: 0035-2829

hal-01032081
https://hal.archives-ouvertes.fr/hal-01032081

Éditeur(s) : HAL CCSD
Résumé : En 2009, l’ONF s’associait à l’ONCFS, au Parc Amazonien de Guyane, à l’UMR EcoFoG et à l’Herbier de Cayenne, dans un vaste programme de recherche, intitulé HABITATS. Son objectif : étudier les relations entre sol, végétation et grande faune pour définir une typologie des habitats forestiers de terre ferme, qui couvrent plus de 80 % du territoire. Retour sur le programme et ses acquis
ISSN: 1763-6442

hal-01204215
https://hal.archives-ouvertes.fr/hal-01204215
PRODINRA : 279057