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Academic literature on the topic 'Inventaire forestier national'
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Journal articles on the topic "Inventaire forestier national"
PARDÉ (Jean). "Le Deuxième inventaire forestier national suisse (IFN2). Présentation d'ouvrage." Revue Forestière Française, no. 6 (2000): 555. http://dx.doi.org/10.4267/2042/5389.
Full textCaspa, Roseline Gusua, Isaac Roger Tchouamo, Jean Pierre Mate Mweru, Joseph Mbang Amang, and Marley Ngang Ngwa. "THE PLACE OF IRVINGIA GABONENSIS IN VILLAGE COMMUNITIES AROUND THE LOBEKE NATIONAL PARK IN CAMEROON." BOIS & FORETS DES TROPIQUES 324, no. 324 (March 17, 2015): 5. http://dx.doi.org/10.19182/bft2015.324.a31262.
Full textLecomte, H., J. Hébert, and J. Rondeux. "Comparaison de plusieurs types d'unités d'échantillonnage dans la perspective d'un inventaire forestier régional." Forestry Chronicle 70, no. 3 (June 1, 1994): 304–10. http://dx.doi.org/10.5558/tfc70304-3.
Full textDjaouga, Mama, Soufiyanou Karimou, Ousséni Arouna, Soufouyane Zakari, Augustin Orou Matilo, Ismaïla Toko Imorou, Ibouraïma Yabi, Julien Djego, Omer Thomas, and Christophe Houssou. "Cartographie de la biomasse forestière et évaluation du carbone séquestré dans la forêt classée de l’Ouémé supérieur au Centre – Bénin." International Journal of Biological and Chemical Sciences 15, no. 6 (February 22, 2022): 2388–401. http://dx.doi.org/10.4314/ijbcs.v15i6.12.
Full textCUNY, Pascal, Françoise PLANCHERON, Abraham BIO, Elvis KOUAKOU, and François MORNEAU. "La forêt et la faune de Côte d’Ivoire dans une situation alarmante – Synthèse des résultats de l’Inventaire forestier et faunique national." BOIS & FORETS DES TROPIQUES 355 (March 1, 2023): 47–72. http://dx.doi.org/10.19182/bft2023.355.a36939.
Full textBrändli, Urs-Beat. "Etat et évolution de la ressource forestière feuillue en Suisse. Résultats du deuxième inventaire forestier national (IFN 2) | State and Development of Hardwood Resources in Swiss Forests – Results of the Second National Forest Inventory (NFI 2)." Schweizerische Zeitschrift fur Forstwesen 151, no. 7 (July 1, 2000): 247–52. http://dx.doi.org/10.3188/szf.2000.0247.
Full textMONTFORT, Frédérique. "Dynamiques des paysages forestiers au Mozambique : étude de l’écologie du Miombo pour contribuer aux stratégies de restauration des terres dégradées." BOIS & FORETS DES TROPIQUES 357 (October 1, 2023): 105–6. http://dx.doi.org/10.19182/bft2023.357.a37281.
Full textMollicone, D., and S. Federici. "Estimating forest surfaces in Italy: the uncertainties of the new national forest inventory." Forest@ - Rivista di Selvicoltura ed Ecologia Forestale 2, no. 2 (June 8, 2005): 143–50. http://dx.doi.org/10.3832/efor0286-002.
Full textWeaver, Peter L. "Reprise précoce de la forêt sèche subtropicale au sud-ouest de Puerto Rico." BOIS & FORETS DES TROPIQUES 310, no. 310 (December 1, 2011): 11. http://dx.doi.org/10.19182/bft2011.310.a20455.
Full textGasparini, P., L. Di Cosmo, A. Paletto, M. Rizzo, and E. Saba Presutti. "Extensive monitoring of Italian forests: integration of the National Forest Inventory with the European Network of Level I." Forest@ - Rivista di Selvicoltura ed Ecologia Forestale 11, no. 1 (February 28, 2014): 36–44. http://dx.doi.org/10.3832/efor1017-011.
Full textDissertations / Theses on the topic "Inventaire forestier national"
Boulier, Joël. "Méthodologie et construction d'une base de données géographiques forestières : application à l'Inventaire Forestier National." Rouen, 1995. http://www.theses.fr/1996ROUEL244.
Full textWe are proposing a method to extrapolate ponctual descriptives datas to a geographical space, according to one-cells grid. For this extrapolation, remote sensing data are used simultaneously with interpretation of aerial imagery and a set of descriptives datas relate to sample aeras of the french forest inventory (IFN). The result of this extrapolation is a geographical forestry database, on one-hectare grid cells, to improve the forest inventory
Kerfriden, Baptiste. "Variabilité environnementale et botanique de la densité du bois des espèces forestières et variabilité temporelle de la biomasse aérienne des forêts françaises : une analyse sur un échantillon systématique de l’inventaire forestier national." Electronic Thesis or Diss., Paris, AgroParisTech, 2021. http://www.theses.fr/2021AGPT0006.
Full textContext. Wood density (kg/m3) is a functional trait linked to the strategy of forest species and its variations convey the ability to adapt to an environment resulting in both an interspecific and intraspecific recognized variability. But it also enables forest biomass estimation and carbon sequestration potential in forests.Aims. We try to understand what structures wood density variability. To assess that, we first seek the factors of the intraspecific variability of wood density. Then, we look at methods to estimate this variability in a context of quantifying forest biomass. Next, along environmental gradients, we seek to identify the share of interspecific and intraspecific variations. Finally, we examine the structure of wood density variability with botanical levels and in species growth-wood density trade-off.Approach. The national forest inventory ensures a systematic coverage and without any bias of all metropolitan France. The XyloDensMap project made it possible to collect wood increment cores extracted at 1,30 m on inventoried trees for 2016 and 2017, that is to say 55 000 increment cores. Massive wood density measurements conducted with an X-ray scanner, furthermore combined with the forest information from the inventory, enabled this work.Results. For the first time, we quantified the wood density and its variability for all inventoried forest species. Wood density variability has been estimated operationally by an imputation method over the period of 2005-2018, making it possible to produce a sequence of metropolitan aboveground forest biomass, and to reassess the stock of biomass and carbon in French forests upwards, with a constant trend regarding the annual carbon sink over the period. We showed that wood density variability is structured on a large scale by soil water holding capacity, soil basicity index and elevation. This variability is mostly interspecific. Finally, the botanical levels of class, order and species structure the variability in wood density between species, with order being the most important level, while the wood structure organizes the growth-wood density trade-off.Conclusion. This thesis, which is the first exploitation of the wood density data obtained by the XyloDensMap project, made it possible to progress in the understanding of the intraspecific and interspecific variability structure of this variable but also in forest carbon accounting. There are many prospects for this new dataset which include the production of models of wood density variation, the estimation of forest biomass in the past and in the deep past, the analysis of the forest management effect on biomass production or even the link with wood anatomy
Denardou-Tisserand, Anaïs. "Changements du stock de bois sur pied des forêts françaises : description, analyse et simulation sur des horizons temporels pluri-décennal (1975 - 2015) et séculaire à partir des données de l'inventaire forestier national et de statistiques anciennes." Electronic Thesis or Diss., Université de Lorraine, 2019. http://www.theses.fr/2019LORR0009.
Full textContext. After centuries of decrease, the forest area of most developed countries increase, a phenomenon termed “forest transition”. While current increase in growing stock (GS) is greater than that in area, it remains far less studied. These changes are linked to major current issues. It is essential to assess these changes, to decipher their underlying causes, and to quantify them over the longer term in order to locate current forest resources on a broad trajectory and to anticipate their future dynamics. This thesis is dedicated to French metropolitan forests, which exhibit the most intensive changes in the growing stock in Europe, and relies on data from the French NFI program. Objectives. (1) Analyse forest areal, GS and GS density (GSD) changes and their spatio-temporal variations over 40 years (1975-2015). They were related to factors hypothesized to feature forest changes (geographical contexts, ownership and species composition). We screened for changes in the rate of expansion. The relationships between GS changes and some forest attributes (initial GS and GSD, recent forest area increase) were investigated. (2) Uncover the processes of GS changes and to split the GS expansion magnitude across dynamically-homogeneous forest ensembles. The study was based on GS flux estimation (growth, ingrowth, mortality and harvest). (3) Locate the actual GS expansion in a secular perspective. This analysis consisted in reconstructing the GS chronology since 1850. Levels of GS in 1892, 1908 and 1929 (associated to area of ancient statistics) were estimated using a conditional imputation approach for GSD estimation. Then, a holistic growing stock densification model was implemented to inquire the conditions required on densification patterns and magnitude to simulate the reconstituted GS chronology. Results. (1) Over 40 years, GS increases were three times faster than the areal ones, underlining the intensity of forest densification. No sign of saturation was found. Private forests, and mainly broadleaved ones, presented the greatest GS and GSD increases, suggesting the essential role of natural expansion and agricultural land abandonment. Regression models revealed the positive effect of initial GS and of recent areal increases on GS expansion. (2) The analysis of GS expansion processes evidenced the low level of harvests in comparison to forest growth, and the contribution of recent forests to wood resource development. It led to identify 4 synthetic forest ensembles contributing to the expansion and of distinct dynamics, mainly composed of private forests. (3) GS suggested a very low mean GSD at the beginning of the period (25 m3/ha) and a GS increase by almost +300% between 1892 and 2010, underlying the importance of this expansion. A convex growth model was required to simulate historical forest densification, attesting of a significant inertia in wood resource reconstitution after the forest transition, interpreted based on a gradual decrease in harvest rates for which indices were collected, or to a gradual recovery of site fertility. The analysis also suggested a distinct kinetics for GS densification in plantation forests. Conclusions. These researches reveal the magnitude of GS expansion and the importance of its analysis across forest contexts. This ancient expansion does not present any current sign of saturation and constitute a persistent carbon sink which should not decrease in the next decades assuming similar contextual conditions. According to the process analysis of GS expansion, a significant fraction of the GS increases does not constitute readily available additional wood resources. Thus, future harvest intensification policies must be contextualized and evolving in time
Denardou-Tisserand, Anaïs. "Changements du stock de bois sur pied des forêts françaises : description, analyse et simulation sur des horizons temporels pluri-décennal (1975 - 2015) et séculaire à partir des données de l'inventaire forestier national et de statistiques anciennes." Thesis, Université de Lorraine, 2019. http://www.theses.fr/2019LORR0009.
Full textContext. After centuries of decrease, the forest area of most developed countries increase, a phenomenon termed “forest transition”. While current increase in growing stock (GS) is greater than that in area, it remains far less studied. These changes are linked to major current issues. It is essential to assess these changes, to decipher their underlying causes, and to quantify them over the longer term in order to locate current forest resources on a broad trajectory and to anticipate their future dynamics. This thesis is dedicated to French metropolitan forests, which exhibit the most intensive changes in the growing stock in Europe, and relies on data from the French NFI program. Objectives. (1) Analyse forest areal, GS and GS density (GSD) changes and their spatio-temporal variations over 40 years (1975-2015). They were related to factors hypothesized to feature forest changes (geographical contexts, ownership and species composition). We screened for changes in the rate of expansion. The relationships between GS changes and some forest attributes (initial GS and GSD, recent forest area increase) were investigated. (2) Uncover the processes of GS changes and to split the GS expansion magnitude across dynamically-homogeneous forest ensembles. The study was based on GS flux estimation (growth, ingrowth, mortality and harvest). (3) Locate the actual GS expansion in a secular perspective. This analysis consisted in reconstructing the GS chronology since 1850. Levels of GS in 1892, 1908 and 1929 (associated to area of ancient statistics) were estimated using a conditional imputation approach for GSD estimation. Then, a holistic growing stock densification model was implemented to inquire the conditions required on densification patterns and magnitude to simulate the reconstituted GS chronology. Results. (1) Over 40 years, GS increases were three times faster than the areal ones, underlining the intensity of forest densification. No sign of saturation was found. Private forests, and mainly broadleaved ones, presented the greatest GS and GSD increases, suggesting the essential role of natural expansion and agricultural land abandonment. Regression models revealed the positive effect of initial GS and of recent areal increases on GS expansion. (2) The analysis of GS expansion processes evidenced the low level of harvests in comparison to forest growth, and the contribution of recent forests to wood resource development. It led to identify 4 synthetic forest ensembles contributing to the expansion and of distinct dynamics, mainly composed of private forests. (3) GS suggested a very low mean GSD at the beginning of the period (25 m3/ha) and a GS increase by almost +300% between 1892 and 2010, underlying the importance of this expansion. A convex growth model was required to simulate historical forest densification, attesting of a significant inertia in wood resource reconstitution after the forest transition, interpreted based on a gradual decrease in harvest rates for which indices were collected, or to a gradual recovery of site fertility. The analysis also suggested a distinct kinetics for GS densification in plantation forests. Conclusions. These researches reveal the magnitude of GS expansion and the importance of its analysis across forest contexts. This ancient expansion does not present any current sign of saturation and constitute a persistent carbon sink which should not decrease in the next decades assuming similar contextual conditions. According to the process analysis of GS expansion, a significant fraction of the GS increases does not constitute readily available additional wood resources. Thus, future harvest intensification policies must be contextualized and evolving in time
Audinot, Timothée. "Développement d’un modèle de dynamique forestière à grande échelle pour simuler les forêts françaises dans un contexte non-stationnaire." Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0179.
Full textContext. Since the industrial revolution, European forests have shown expansion of their area and growing stock. This expansion, together with climate change, drive changes in the processes of forest dynamic. The emergence of a European bioeconomy strategy suggests new developments of forest management strategies at European and national levels. Simulating future forest resources and their management with large-scale models is therefore essential to provide strategic planning support tools. In France, forest resources show high diversity as compared with other European countries' forests. The MARGOT forest dynamic model (MAtrix model of forest Resource Growth and dynamics On the Territory scale), was developed by the national forest inventory (IFN) in 1993 to simulate French forest resources from data of this inventory, but has been the subject of restricted developments, and simulations remain limited to a time horizon shorter than 30 years, under “business as usual” management scenarios, and not taking into account non-stationary forest and environmental contexts.Aims. The general ambition of this thesis was to consent a significant development effort on MARGOT model, in order to tackle current forestry issues. The specific objectives were: i) to assess the capacity of MARGOT to describe French forest expansion over a long retrospective period (1971-2016), ii) to take into account the heterogeneity of forests at large-scale in a holistic way, iii) to account for the impacts of forest densification in demographic dynamic processes, iv) to encompass external climatic forcing in forest growth, v) in a very uncertain context, to be able to quantify NFI sampling uncertainty in model parameters and simulations with respect to the magnitude of other trends considered. The development of forest management scenarios remained outside the scope of this work.Main results. A generic method for forest partitioning according to their geographic and compositional heterogeneity has been implemented. This method is intended to be applied to other European forest contexts. A method of propagating sampling uncertainty to model parameters and simulations has been developed from data resampling and error modelling approaches. An original approach to integrating density-dependence in demographic processes has been developed, based on a density metric and the reintroduction of forest stand entities adapted to the model. A strategy for integrating climate forcing of model demographic parameters was developed based on an input-output coupling approach with the process-based model CASTANEA, for a subset of French forests including oak, beech, Norway spruce, and Scots pine forests. All of these developments significantly reduced the prediction bias of the initial model.Conclusions. These developments make MARGOT a much more reliable forest resource assessment tool, and are based on an original modeling approach that is unique in Europe. The use of ancient forest statistics will make it possible to evaluate the model and simulate the carbon stock of French forests over a longer time horizon (over 100 years). Intensive simulations to assess the performance of this new model must be done
Houllier, François. "Echantillonnage et modélisation de la dynamique des peuplements forestiers : application au cas de l'inventaire forestier nationale." Lyon 1, 1986. http://www.theses.fr/1986LYO10039.
Full textToïgo, Maude. "Productivité des forêts mélangées : effet de la diversité en essences dans un contexte climatique et édaphique variable." Thesis, Orléans, 2015. http://www.theses.fr/2015ORLE2018.
Full textGlobal environmental changes may lead to a modification of abiotic factors and biological diversity. The production function in forest ecosystems has the particularity to be both subjected to, and a regulator of, these environmental changes. Understanding how forest productivity is driven by species diversity and environmental factors is therefore a critical issue. This PhD thesis studies how tree species mixture affects their productivity along edaphic and climatic gradients. Based on an approach using both an original dataset and the national forest inventory dataset, I focused on five major species of European forests in pure and two-species forests: Quercus petraea, Pinus sylvestris, Fagus sylvatica, Abies alba and Picea abies. In lowlands, abiotic factors had little impacts on the outcome of tree species mixture on productivity. In addition, the effect of tree species mixture was determined by the shade tolerance of companion species. In highlands, the positive effects of tree species mixture were strongest when the abiotic factors were the most limiting for growth. These results highlight the importance of considering abiotic factors and the functional characteristics of species as drivers of the effect of biological diversity on ecosystem functions
Dumas, Noé. "La végétation concurrente de la régénération forestière : évaluation des surfaces colonisées, modélisation de l'abondance et de l'impact sur la régénération ligneuse à l'échelle de la France." Electronic Thesis or Diss., Paris, AgroParisTech, 2022. http://www.theses.fr/2022AGPT0015.
Full textForest renewal is a key stage in the life of forest stands as it allows the long-term maintenance of the forest and its associated ecosystem services. Among the factors likely to have a negative impact on forest renewal, colonisation by competitive species can slow down tree regeneration, or even block it for several decades.The objective of this thesis is to estimate the impact of competitive vegetation on tree regeneration on a regional to national scale. The thesis is mainly based on the use of French National Forest Inventory (NFI) data.A first step, using the results of a survey of forest managers, was to establish a list of the main competing species for tree regeneration, and to determine the areas where each species is present with a high abundance. Bramble (Rubus fruticosus), Eagle Fern (Pteridium aquilinum) and Purple Moor-grass (Molinia caerulea) are the main competitive species in France, and are each present with a high abundance in more than 300,000 ha of forests with open canopies in France.In order to better understand the ecology of competitive species, the role of canopy openness on the probability of presence and high abundance of competitive species was studied. For a majority of species, canopy cover has a weak effect on the probability of presence of species. Conversely, species abundance was strongly correlated with canopy cover, with high canopy cover being associated with lower abundance for most competitive species.The effect of competitive vegetation on tree regeneration cover was then modelled at the scale of France for the three main species. High abundance of P. aquilinum and M. caerulea is associated with a relative decrease in tree regeneration cover of about 30% and 40% respectively, compared to situations where these species are present at low abundance. Conversely, R. fruticosus has a more ambivalent effect on tree regeneration. Woody regeneration cover increases slightly on average at intermediate R. fruticosus abundances, and decreases significantly at high abundance of this species.Finally, the probability of presence and high abundance of the three main competing species was modelled, in order to identify the conditions of high abundance and to predict the location of the areas potentially impacted by the appearance of these three species when the canopy is opened. The difficulty of accurately modelling the presence and, more importantly, the level of abundance of these species led to models with poor predictive abilities, which did not allow for robust estimates of the conditions at high risk of colonisation by the three species studied.In conclusion, this thesis has shown that tree regeneration problems related to competitive vegetation species are present on significant areas in French forests. P. aquilinum and M. caerulea have a marked negative effect on tree regeneration regardless of their abundance, whereas the effect of R. fruticosus is only negative at high abundances. Finally, this thesis also demonstrated the importance of modelling presence and abundance separately, and identified the main factors that need to be taken into account to better model species abundance
Bodin, Jeanne. "Observed changes in mountain vegetation of the Alps during the XXth century - Role of climate and land-use changes." Phd thesis, Université Henri Poincaré - Nancy I, 2010. http://tel.archives-ouvertes.fr/tel-00592144.
Full textBooks on the topic "Inventaire forestier national"
Gasparini, Patrizia, Lucio Di Cosmo, and Antonio Floris. Italian National Forest Inventory - Methods and Results of the Third Survey: Inventario Nazionale Delle Foreste e Dei Serbatoi Forestali Di Carbonio - Metodi e Risultati Della Terza Indagine. Springer International Publishing AG, 2022.
Find full textGasparini, Patrizia, Lucio Di Cosmo, and Antonio Floris. Italian National Forest Inventory - Methods and Results of the Third Survey: Inventario Nazionale Delle Foreste e Dei Serbatoi Forestali Di Carbonio - Metodi e Risultati Della Terza Indagine. Springer International Publishing AG, 2022.
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