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Modeling land use change and forest carbon stock changes in temperate forests in the United States / Lucia Fitts in Carbon Balance and Management, vol 16 ([01/02/2021])
[article]
Titre : Modeling land use change and forest carbon stock changes in temperate forests in the United States Type de document : Article/Communication Auteurs : Lucia Fitts, Auteur ; Matthew B. Russell, Auteur ; Grant M. Domke, Auteur ; Joseph F. Knight, Auteur Année de publication : 2021 Article en page(s) : n° 20 (2021) Langues : Anglais (eng) Descripteur : [Termes IGN] changement d'occupation du sol
[Termes IGN] Colorado (Etats-Unis)
[Termes IGN] forêt tempérée
[Termes IGN] Géorgie (Etats-Unis)
[Termes IGN] impact sur l'environnement
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] modélisation spatio-temporelle
[Termes IGN] New York (Etats-Unis ; état)
[Termes IGN] puits de carbone
[Termes IGN] Texas (Etats-Unis)
[Termes IGN] Wisconsin (Etats-Unis)
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Background : Forests provide the largest terrestrial sink of carbon (C). However, these C stocks are threatened by forest land conversion. Land use change has global impacts and is a critical component when studying C fluxes, but it is not always fully considered in C accounting despite being a major contributor to emissions. An urgent need exists among decision-makers to identify the likelihood of forest conversion to other land uses and factors affecting C loss. To help address this issue, we conducted our research in California, Colorado, Georgia, New York, Texas, and Wisconsin. The objectives were to (1) model the probability of forest conversion and C stocks dynamics using USDA Forest Service Forest Inventory and Analysis (FIA) data and (2) create wall-to-wall maps showing estimates of the risk of areas to convert from forest to non-forest. We used two modeling approaches: a machine learning algorithm (random forest) and generalized mixed-effects models. Explanatory variables for the models included ecological attributes, topography, census data, forest disturbances, and forest conditions. Model predictions and Landsat spectral information were used to produce wall-to-wall probability maps of forest change using Google Earth Engine.
Results : During the study period (2000–2017), 3.4% of the analyzed FIA plots transitioned from forest to mixed or non-forested conditions. Results indicate that the change in land use from forests is more likely with increasing human population and housing growth rates. Furthermore, non-public forests showed a higher probability of forest change compared to public forests. Areas closer to cities and coastal areas showed a higher risk of transition to non-forests. Out of the six states analyzed, Colorado had the highest risk of conversion and the largest amount of aboveground C lost. Natural forest disturbances were not a major predictor of land use change.
Conclusions : Land use change is accelerating globally, causing a large increase in C emissions. Our results will help policy-makers prioritize forest management activities and land use planning by providing a quantitative framework that can enhance forest health and productivity. This work will also inform climate change mitigation strategies by understanding the role that land use change plays in C emissions.Numéro de notice : A2021-501 Affiliation des auteurs : non IGN Thématique : FORET/INFORMATIQUE Nature : Article DOI : 10.1186/s13021-021-00183-6 Date de publication en ligne : 03/07/2021 En ligne : https://doi.org/10.1186/s13021-021-00183-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98099
in Carbon Balance and Management > vol 16 [01/02/2021] . - n° 20 (2021)[article]A density-based algorithm for the detection of individual trees from LiDAR data / Melissa Latella in Remote sensing, Vol 13 n° 2 (January-2 2021)
[article]
Titre : A density-based algorithm for the detection of individual trees from LiDAR data Type de document : Article/Communication Auteurs : Melissa Latella, Auteur ; Fabio Sola, Auteur ; Carlo Camporeal, Auteur Année de publication : 2021 Article en page(s) : n° 322 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre (flore)
[Termes IGN] comptage
[Termes IGN] densité de la végétation
[Termes IGN] détection d'arbres
[Termes IGN] distribution spatiale
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt de feuillus
[Termes IGN] hauteur des arbres
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] semis de points
[Termes IGN] sous-étageRésumé : (auteur) Nowadays, LiDAR is widely used for individual tree detection, usually providing higher accuracy in coniferous stands than in deciduous ones, where the rounded-crown, the presence of understory vegetation, and the random spatial tree distribution may affect the identification algorithms. In this work, we propose a novel algorithm that aims to overcome these difficulties and yield the coordinates and the height of the individual trees on the basis of the point density features of the input point cloud. The algorithm was tested on twelve deciduous areas, assessing its performance on both regular-patterned plantations and stands with randomly distributed trees. For all cases, the algorithm provides high accuracy tree count (F-score > 0.7) and satisfying stem locations (position error around 1.0 m). In comparison to other common tools, the algorithm is weakly sensitive to the parameter setup and can be applied with little knowledge of the study site, thus reducing the effort and cost of field campaigns. Furthermore, it demonstrates to require just 2 points·m−2 as minimum point density, allowing for the analysis of low-density point clouds. Despite its simplicity, it may set the basis for more complex tools, such as those for crown segmentation or biomass computation, with potential applications in forest modeling and management. Numéro de notice : A2021-196 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.3390/rs13020322 Date de publication en ligne : 19/01/2021 En ligne : https://doi.org/10.3390/rs13020322 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97146
in Remote sensing > Vol 13 n° 2 (January-2 2021) . - n° 322[article]
Titre : Drivers and implications of dominant and rare tree species in global forests Type de document : Thèse/HDR Auteurs : Iris Hordijk, Auteur Editeur : Zurich : Eidgenossische Technische Hochschule ETH - Ecole Polytechnique Fédérale de Zurich EPFZ Année de publication : 2021 Note générale : bibliographie
Thesis submitted to attain the degree of Doctor of Sciences of ETH ZurichLangues : Anglais (eng) Descripteur : [Termes IGN] âge du peuplement forestier
[Termes IGN] biodiversité végétale
[Termes IGN] biome
[Termes IGN] écosystème forestier
[Termes IGN] espèce végétale
[Termes IGN] extinction (biologie)
[Termes IGN] forêt boréale
[Termes IGN] forêt tempérée
[Termes IGN] forêt tropicale
[Termes IGN] habitat (nature)
[Termes IGN] peuplement forestier
[Termes IGN] plante menacée
[Termes IGN] productivité biologique
[Termes IGN] richesse floristique
[Termes IGN] service écosystémique
[Vedettes matières IGN] Inventaire forestierIndex. décimale : THESE Thèses et HDR Résumé : (auteur) Forests provide crucial ecosystem functions and services for the earth system and humanity. Due to ongoing deforestation and forest degradation, these ecosystems are increasingly fragmented and disturbed, significantly changing tree species composition within the forest. Most plant communities are comprised of a few dominant species that are numerically abundant, and many rare species, each of which exist at low abundance. Given their differences in abundance and characteristics, the loss of dominant and rare species have distinct impacts on ecosystem functioning. Decreasing abundances of dominant species typically have larger immediate impacts on overall ecosystem processes (e.g. productivity), while a decline in abundance of rare species can lead to the loss of key functions and overall multifunctionality, and can ultimately drive species extinctions. Despite their unique role in the ecosystem, it remains unclear what drives species to become dominant or rare, how threatened locally dominant and rare species are, and what the effect of species abundance on ecosystem function is across large environmental gradients in our global forests. The aim of this thesis is to explore the drivers of tree species abundance, and evaluate the effect of relative tree species abundance on forest productivity. Specifically, the three chapters of this thesis aimed to identify at a global scale the 1) patterns, drivers, and threats to dominant and rare tree species, 2) differences in trait values and trait diversity that differentiate the functional contributions of dominant and rare tree species, and 3) how evenness (the relative species abundances in the community) mediates the relationship between tree species richness and forest productivity in forests. In this thesis I answered these research questions by analyzing a global dataset of forest composition, which enabled me to describe broad-scale ecological patterns and to test general ecological laws. Note de contenu : General introduction
1- Patterns, drivers and threats to dominant and rare tree species worldwide
2- Trait diversity of dominant and rare tree species in global forests: a habitat filtering perspective
3- Evenness mediates the global relationship between forest productivity and richness
SynthesisNuméro de notice : 28690 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Thèse étrangère Note de thèse : PhD Thesis : Sciences : ETH Zurich 2021 DOI : sans En ligne : https://www.research-collection.ethz.ch/handle/20.500.11850/520710 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100131 Interactions between oak and cervids during the process of forest regeneration / Julien Barrere (2021)
Titre : Interactions between oak and cervids during the process of forest regeneration : the case study of plain temperate oak stands (Quercus robur et Q. petraea) Type de document : Thèse/HDR Auteurs : Julien Barrere, Auteur ; Sonia Saïd, Directeur de thèse ; Catherine Collet, Directeur de thèse Editeur : Nancy, Metz : Université de Lorraine Année de publication : 2021 Importance : 315 p. Format : 21 x 30 cm Note générale : Bibliographie
Thèse pour obtenir le grade de Docteur de L'Université d'Orléans, Spécialité Biologie et écologie des forêts et des agrosystèmesLangues : Anglais (eng) Descripteur : [Termes IGN] analyse spatio-temporelle
[Termes IGN] canopée
[Termes IGN] Cervidae
[Termes IGN] données spatiotemporelles
[Termes IGN] écosystème forestier
[Termes IGN] faune locale
[Termes IGN] forêt tempérée
[Termes IGN] inventaire forestier local
[Termes IGN] migration animale
[Termes IGN] peuplement forestier
[Termes IGN] Quercus pedunculata
[Termes IGN] Quercus sessiliflora
[Termes IGN] régénération (sylviculture)
[Termes IGN] Suède
[Termes IGN] Vosges, massif des
[Vedettes matières IGN] ForesterieIndex. décimale : THESE Thèses et HDR Résumé : (Auteur) Les cervidés ont vu leur abondance et leur distribution spatiale augmenter fortement depuis les dernières décennies, en France, et plus généralement à l’échelle de l’hémisphère Nord. Si ces espèces jouent un rôle clé dans le fonctionnement des écosystèmes forestiers, le niveau actuel des populations compromet le processus de régénération forestière de certaines essences cruciales pour la filière sylvicole telles que les chênes sessile et pédonculé (Quercus robur et Q. petraea). L’objectif de cette thèse est de quantifier et décrire les mécanismes sous-jacent de la contrainte exercée par les cervidés sur la régénération et d’identifier dans quelle mesure certaines opérations sylvicoles (coupe, dégagement et pose d’enclos) influencent cette contrainte. L’analyse de la composition de panses de cerf et de chevreuil sur le site de La Petite Pierre (Vosges) a permis de montrer que les glands de chêne représentaient une ressource significative dans le régime alimentaire de ces deux espèces, mais que leur consommation de gland saturait les années de forte fructification. Par des approches expérimentales, nous avons mis en évidence que l’abroutissement de la pousse apicale réduisait toujours la croissance en hauteur des semis que ce soit en condition de terrain, ou en pépinière, et que ce phénomène s’expliquait par une faible plasticité d’allocation des ressources pour compenser la perte de tissu. L’analyse d’un résultat d’un réseau d’enclos-exclos répartis sur plusieurs sites en France et en Suède a permis de montrer que la coupe d’arbre adulte pour augmenter l’ouverture de la canopée accentuait l’effet négatif des cervidés sur la croissance et la survie de jeunes semis de chêne, via une plus forte fréquentation des cervidés dans les patches de régénération ouverts. Enfin, suite à l’implémentant du processus d’herbivorie dans un modèle de dynamique forestière (bibliothèque Régénération de CAPSIS), j’ai effectué des simulations suggérant que sous une forte pression d’herbivorie, des opérations de dégagement moins fréquentes et maintenant des espèces accompagnatrices appétentes comme le charme permettrait de réduire l’influence négative des cervidés sur la croissance du chêne. En conclusion, les résultats de cette thèse étayent l’hypothèse que les cervidés représentent une contrainte significative pour le processus de régénération du chêne, mais suggère qu’une gestion de la végétation de sous-bois adaptée permettrait de réduire cette contrainte et de se rapprocher d’un équilibre plus durable entre faune sauvage et activités sylvicoles. Note de contenu :
CHAPTER 1 - Introduction
1.1 The anthropic origin of an imbalance between forest trees and wildlife
1.2 Managing the balance between forests and large herbivores
1.3 Presentation of the studied species and their specificity
1.4 On the drivers and constraints of oak regeneration
1.5 Interactions between oak and cervids throughout the regeneration process, and remaining knowledge gaps
1.6 Objective of the thesis and structure of the manuscript
CHAPTER 2 - Scientific Approaches
2.1 Observational data for the study of spatial and temporal patterns
2.2 Experimental approaches to studying forest-deer interactions
2.3 An in silico approach to synthesize multiple data sources
2.4 Conclusion
CHAPTER 3 - How does oak mast seeding affect the feeding behaviour of sympatric red and roe deer ?
3.1 Abstract
3.2 Introduction
3.3 Materials and methods
3.4 Results
3.5 Discussion
3.6 Conclusion
3.7 Acknowledgments
3.8 Appendices
CHAPTER 4 - Do trait responses to simulated browsing in Quercus robur saplings affect their attractiveness to Capreolus capreolus the following year?
4.1 Abstract
4.2 Introduction
4.3 Material and methods
4.4 Results
4.5 Discussion
4.6 Conclusions
4.7 Funding
4.8 Authorship
4.9 Acknowledgments
4.10 Appendices
CHAPTER 5 - Oak responses to browsing in field conditions
5.1 Context and objective
5.2 Overview of the methodology
5.3 Results
5.4 Conclusion
CHAPTER 6 - Canopy openness and exclusion of wild ungulates act synergistically to improve oak natural regeneration
6.1 Abstract
6.2 Introduction
6.3 Material and methods
6.4 Results
6.5 Discussion
6.6 Conclusion
6.7 Acknowledgments
6.8 Appendices
CHAPTER 7 - The influence of deer browsing on oak regeneration is conditioned by the shrub layer - insights from a modeling approach
7.1 Preamble
7.2 Introduction
7.3 Including deer browsing in the CAPSIS regeneration library
7.4 A first set of simulations
7.5 Perspectives and conclusion
CHAPTER 8 - Discussion and perspectives
8.1 Overview of the results
8.2 Perspectives
8.3 General conclusion
CHAPTER 9 - Résumé de la thèse en Français
9.1 Introduction
9.2 Influence du masting du chêne sur le comportement alimentaire du cerf et du chevreuil
9.3 Réponse des jeunes chênes à l’abroutissement, et conséquence pour l’attractivité du plant
9.4 Influence croisée de l’ouverture de la canopée et de l’exclusion des ongulés sauvages sur la régénération du chêne
9.5 L’influence de l’abroutissement sur la régénération du chêne est conditionné par la végétation accompagnatrice
9.6 Synthèse et perspectivesNuméro de notice : 26952 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Thèse française Note de thèse : Thèse de Doctorat : Biologie et écologie des forêts et des agrosystèmes : Lorraine : 2021 Organisme de stage : Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement INRAE DOI : sans Date de publication en ligne : 11/01/2023 En ligne : https://hal.univ-lorraine.fr/tel-03702537v1/document Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102436 Investigation of Sentinel-1 time series for sensitivity to fern vegetation in an European temperate forest / Marlin Mueller (2021)
Titre : Investigation of Sentinel-1 time series for sensitivity to fern vegetation in an European temperate forest Type de document : Article/Communication Auteurs : Marlin Mueller, Auteur ; Clémence Dubois, Auteur ; Thomas Jagdhuber, Auteur ; Carsten Pathe, Auteur ; Christiane Schmullius, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2021 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 43-B2-2021 Conférence : ISPRS 2021, Commission 2, XXIV ISPRS Congress, Imaging today foreseeing tomorrow 05/07/2021 09/07/2021 Nice Virtuel France OA Archives Commission 2 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Allemagne
[Termes IGN] Filicophyta
[Termes IGN] forêt tempérée
[Termes IGN] image Sentinel-SAR
[Termes IGN] phénologie
[Termes IGN] série temporelle
[Termes IGN] variation saisonnièreMots-clés libres : Pteridium aquilinum Résumé : (auteur) In this study, a dense Copernicus Sentinel-1 time series is analyzed to gain a better understanding of the influence of undergrowth vegetation, in particular of eagle fern (Pteridium aquilinum), on the C-band SAR signal in a temperate forest in the Free State of Thuringia, Germany. Even if signals from the ground below the canopy may not be expected at C-band, previous studies showed seasonal fluctuations of the backscatter for temperate forests without canopy closure, notably for evergreen coniferous stands. Many factors can be responsible for these observed fluctuations, but in this study, we analyze one possible factor: the presence of undergrowth vegetation, in particular, of fern. Especially, the Sentinel-1 backscatter signal is analyzed for different acquisition configurations regarding its temporal and its spatial stability at different growth stages. This time series study shows that a difference of backscattered signal of up to 0.7 dB exists between forest patches with a dense fern density in the understory and the ones with low undergrowth vegetation. This signal difference depends on the season and is remarkably strong comparing winter (no fern undergrowth) with summer (major fern undergrowth). Numéro de notice : C2021-018 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Communication DOI : 10.5194/isprs-archives-XLIII-B3-2021-127-2021 Date de publication en ligne : 28/06/2021 En ligne : https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-127-2021 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98070 Mapping and characterizing animals’ places of interest in forest environment / Laurence Jolivet (2021)PermalinkMonitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations / Shengbiao Wu in ISPRS Journal of photogrammetry and remote sensing, vol 171 (January 2021)PermalinkUnprecedented pluri-decennial increase in the growing stock of French forests is persistent and dominated by private broadleaved forests / Jean-Daniel Bontemps in Annals of Forest Science, vol 77 n° 4 (December 2020)PermalinkEffects of radiometric correction on cover type and spatial resolution for modeling plot level forest attributes using multispectral airborne LiDAR data / Wai Yeung Yan in ISPRS Journal of photogrammetry and remote sensing, vol 169 (November 2020)PermalinkIs field-measured tree height as reliable as believed – Part II, A comparison study of tree height estimates from conventional field measurement and low-cost close-range remote sensing in a deciduous forest / Luka Jurjević in ISPRS Journal of photogrammetry and remote sensing, vol 169 (November 2020)PermalinkCO2 fertilization, transpiration deficit and vegetation period drive the response of mixed broadleaved forests to a changing climate in Wallonia / Louis de Wergifosse in Annals of Forest Science, vol 77 n° 3 (September 2020)PermalinkImproved supervised learning-based approach for leaf and wood classification from LiDAR point clouds of forests / Sruthi M. Krishna Moorthy in IEEE Transactions on geoscience and remote sensing, vol 58 n° 5 (May 2020)PermalinkCan mixed pine forests conserve understory richness by improving the establishment of understory species typical of native oak forests? / Daphne Lopez-Marcos in Annals of Forest Science, Vol 77 n° 1 (March 2020)PermalinkClinal variation along precipitation gradients in Patagonian temperate forests: unravelling demographic and selection signatures in three Nothofagus spp. / Carolina Soliani in Annals of Forest Science, Vol 77 n° 1 (March 2020)PermalinkSpecies richness influences the spatial distribution of trees in European forests / Cristina Bastias in Oikos, vol 129 n° 3 (March 2020)PermalinkDynamique spontanée post-tempête de la végétation forestière en contexte de changement climatique / Lucie Dietz (2020)PermalinkPotential of UAV photogrammetry for characterization of forest canopy structure in uneven-aged mixed conifer–broadleaf forests / Sadeepa Jayathunga in International Journal of Remote Sensing IJRS, vol 41 n° 1 (01 - 08 janvier 2020)PermalinkPredicting carbon accumulation in temperate forests of Ontario, Canada using a LiDAR-initialized growth-and-yield model / Paulina T. Marczak in Remote sensing, vol 12 n° 1 (January 2020)PermalinkPermalinkImpact of deadwood decomposition on soil organic carbon sequestration in Estonian and Polish forests / Ewa Blonska in Annals of Forest Science, Vol 76 n° 4 (December 2019)PermalinkBackground mortality drivers of European tree species: climate change matters / Adrien Taccoen in Proceedings of the Royal society B : Biological sciences, Vol 286 n° 1900 (April 2019)PermalinkChilling and forcing temperatures interact to predict the onset of wood formation in Northern Hemisphere conifers / Nicolas Delpierre in Global change biology, vol 25 n° 3 (March 2019)PermalinkModeling tree-growth : Assessing climate suitability of temperate forests growing in Moncayo Natural Park (Spain) / Edurne Martínez del Castillo in Forest ecology and management, vol 435 (1 March 2019)PermalinkPatterns of tree diameter distributions in managed and unmanaged Abies alba Mill. and Fagus sylvatica L. forest patches / Rafał Podlaski in Forest ecology and management, vol 435 (1 March 2019)PermalinkSingle-image photogrammetry for deriving tree architectural traits in mature forest stands: a comparison with terrestrial laser scanning / Kamil Kędra in Annals of Forest Science, vol 76 n° 1 (March 2019)Permalink