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The application field of drone has diversified greatly over the past decade. This can be explainedby its democratization and versatility. Indeed, it is involved in many fields as it can be associatedwith numerous technologies (captors, cameras. . . ). The chemical ecology is no exception. Thisscientific discipline is interested in the development of biological control techniques. Among thesetechniques, the observation of odor profiles changes in infested crops is promising as earlyinfestation diagnosis. Indeed, a crop infested by a pest emits particular odors. Sometimes, thepest itself emits odors which permits its identification (in the form of sexual or aggregationpheromone). This master thesis aims to use drones for crop pest detection. The bark beetle waschosen as the study model, as its strong proliferation and the lack of control techniques availablenowadays. For this purpose, a sampling method of VOCs using drone was developed inlaboratory and tested in the field. After the selection of some VOCs (alpha-Pinene,cis-3-Hexen-1-ol, beta-Caryophyllene), the operating parameters effect like the height, the airsampled volume and the flow rate on the amount of sampled VOCs was investigated. Somescale-ups were carried out, starting from without drone indoor samplings to outdoor with dronesamplings, in order to confirm the impact of pre-mentioned operating parameters. Followingthese experimentations, surface responses (contour and persp) were calculated in order to set theoperating parameters allowing an efficient VOCs sampling on the field. The air sampled volumewas the most influent parameter on the collected VOCs amount. The height had also an effect,but much less significant than the first. A validation application above anIps Typographusbarkbeetle infested spruces plantation allowed the VOCs detection released by the crop, as well astwo bark beetles aggregation pheromones. This technique is therefore promising in the diagnosisof bark beetle, thus limiting losses by producers.

drone, UAV, bark beetle, Ips typographus, VOC, BVOC,IH-BVOC, pest, spruce, Picea abies --- Sciences du vivant > Entomologie & lutte antiravageur --- Sciences du vivant > Agriculture & agronomie

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The great potential of remote sensing technologies for operational use in sustainable forest management is addressed in this book, which is the reprint of papers published in the Remote Sensing Special Issue “Operationalization of Remote Sensing Solutions for Sustainable Forest Management”. The studies come from three continents and cover multiple remote sensing systems (including terrestrial mobile laser scanning, unmanned aerial vehicles, airborne laser scanning, and satellite data acquisition) and a diversity of data processing algorithms, with a focus on machine learning approaches. The focus of the studies ranges from identification and characterization of individual trees to deriving national- or even continental-level forest attributes and maps. There are studies carefully describing exercises on the case study level, and there are also studies introducing new methodologies for transdisciplinary remote sensing applications. Even though most of the authors look forward to continuing their research, nearly all studies introduced are ready for operational use or have already been implemented in practical forestry.

forest road inventory --- total station --- global navigation satellite system --- point cloud --- precision density --- positional accuracy --- efficiency --- mangrove sustainability --- deforestation depletion --- anthropogenic --- natural water balance --- Southeast Asia --- Phoracantha spp. --- unmanned aerial vehicle (UAV) --- multispectral imagery --- vegetation index --- thresholding analysis --- Large Scale Mean-Shift Segmentation (LSMS) --- Random Forest (RF) --- forest mask --- validation --- probability sampling --- remote sensing --- earth observations --- forestry --- accuracy assessment --- forest classification --- forested catchment --- hydrological modeling --- SWAT model --- DEM --- airborne laser scanning --- deep learning --- Landsat --- national forest inventory --- stand volume --- bark beetle --- Ips typographus L. --- pest --- change detection --- forest damage --- spruce --- Sentinel-2 --- damage mapping --- multi-temporal regression --- mangrove --- replanting --- restoration --- analytic hierarchy process --- UAV --- DJI drone --- machine learning --- forest canopy --- canopy gaps --- canopy openings percentage --- satellite indices --- Elastic Net --- beech–fir forests --- pixel-based supervised classification --- random forest --- support vector machine --- gray level cooccurrence matrix (GLCM) --- principal component analysis (PCA) --- WorldView-3 --- wildfires --- MaxENT --- risk modeling --- GIS --- multi-scale analysis --- Yakutia --- Artic --- Siberia --- phenology modelling --- forest disturbance --- forest monitoring --- bark beetle infestation --- forest management --- time series analysis --- satellite imagery --- landsat time series --- growing stock volume --- forest inventory --- harmonic regression --- n/a --- beech-fir forests

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After the successful conclusion of the Joint Meeting of IUFRO’s 7.03.05 & 7.03.10 working parties and given the exciting and novel studies that have been presented in the framework of this meeting, we decided to present some of these studies in the current Special Issue of Forests. To make this issue more appealing and interesting to everyone in the field of Forest Protection, studies that cover a wide range of topics were selected, ranging from ecology and phylogeography to forest management and protection. More importantly, as these studies refer to pests and pathogens from different parts of the world, it is expected that the knowledge gained can be further used in the protection of natural environment worldwide.

phenols --- flying ability --- Mediterranean forests --- wood borer insects --- Coraebus florentinus --- human-mediated transport --- ITS --- American chestnut --- sterols --- aggregated retention --- multivariate analysis --- Ips duplicatus --- Forestry Reclamation Approach --- triterpenes --- stand type --- Xyleborini --- birch --- Japanese red pine pure forests --- Scolytinae --- biological control --- Cephalcia kunyushanica --- deciduous forest --- silvicultural interventions --- fungal phytopathogens --- pathogen --- soil properties --- hypovirulence --- ammonium phosphite --- chestnut blight --- mtDNA --- latitude --- Cryphonectria parasitica --- occurrence --- distribution --- ash dieback --- ethanol --- phylogeography --- Carpathian Mountains --- Buprestidae --- stand characteristics --- oak --- vector --- Phytophthora --- black timber bark beetle --- infection level --- Romania --- coniferous forest --- Trypodendron laeve --- clearcutting --- Fraxinus excelsior --- selective pruning --- chlorophyll-a fluorescence --- forest management --- Ips sexdentatus --- disease management --- spread --- forest health --- ambrosia beetle --- Quercus --- invasive pathogens --- invasion --- biological invasion --- Lepidoptera --- ink disease --- functional group --- Betula --- mine reclamation

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"An old-growth forest is one that has formed naturally over a long period of time with little or no disturbance from humankind. They are increasingly rare and largely misunderstood. In this book, Joan Maloof, the director of the Old-Growth Forest Network, makes a heartfelt and passionate case for their importance. This evocative and accessible narrative defines old-growth and provides a brief history of forests. It offers a rare view into how the life-forms in an ancient, undisturbed forest-including not only its majestic trees but also its insects, plant life, fungi, and mammals-differ from the life-forms in a forest manipulated by humans. What emerges is a portrait of a beautiful, intricate, and fragile ecosystem that now exists only in scattered fragments. Black-and-white illustrations by Andrew Joslin help clarify scientific concepts and capture the beauty of ancient trees"-- "An impassioned case for the importance of ancient forests and their preservation. Standing in an old-growth forest, you can instinctively sense the ways it is different from forests shaped by humans. These ancient, undisturbed ecosystems are increasingly rare and largely misunderstood. Nature's Temples explores the science and alchemy of old-growth forests and makes a compelling case for their protection. Many foresters are proponents of forest management while ecologists and conservation biologists believe that the healthiest forests are those we leave alone. Joan Maloof brings together the scientific data we have about old-growth forests, drawing on diverse fields of study to explain the ecological differences among forests of various ages. She describes the life forms and relationships that make old-growth forests unique-from salamanders and micro-snails to plants that communicate through fungi-and reveals why human attempts to manage forests can never replicate nature's sublime handiwork. Maloof invites you to discover the power of these fragile realms that are so inextricably connected to our planet, our fellow species, and our spirits. With drawings by Andrew Joslin that illustrate scientific concepts and capture the remarkable beauty of ancient trees, this revised and expanded edition of Nature's Temples sheds new light on the special role forests play in removing carbon from the atmosphere and shares what we know about the interplay between wildfires and ancient forests"--

Old growth forests. --- Biodiversity. --- NATURE / Ecology. --- NATURE / Plants / Trees. --- Ancient forests --- Virgin forests --- Forests and forestry --- Biological diversification --- Biological diversity --- Biotic diversity --- Diversification, Biological --- Diversity, Biological --- Biology --- Biocomplexity --- Ecological heterogeneity --- Numbers of species --- Adirondack Mountains. --- Aggression. --- Air pollution. --- American chestnut. --- Anecdotal evidence. --- Anishinaabe. --- Bark beetle. --- Bat. --- Bathing. --- Baxter State Park. --- Behalf. --- Bernie Krause. --- Bowhead whale. --- Calculation. --- Chesapeake Bay. --- Citizen science. --- Climate change. --- Climate pattern. --- Cloud cover. --- Coarse woody debris. --- Coral bleaching. --- Decomposer. --- Deep sea. --- Deforestation. --- Devonian. --- Dry season. --- Ecosystem. --- Fertility. --- Fisherman. --- Flood. --- Food. --- Forest Ecology and Management. --- Forest floor. --- Forest. --- Forestry. --- Fungus. --- Germination. --- Gray fox. --- Great Lakes region. --- Great Smoky Mountains. --- Groundwater. --- Guitar. --- Hearing range. --- Ice Glen. --- Ice age. --- Immune system. --- Indicator species. --- Insect. --- Ivory-billed woodpecker. --- Jagadish Chandra Bose. --- Journal of Mammalogy. --- Juvenile fish. --- Laser rangefinder. --- Lichen. --- Lichenology. --- Longevity. --- Low-pressure area. --- Machine learning. --- Measurement. --- Metre per second. --- Mink. --- Newspaper. --- Northwest Forest Plan. --- Nutrient. --- Old Forest. --- Old-growth forest. --- Oregon Coast Range. --- Organic compound. --- Organism. --- Phosphorus. --- Photosynthesis. --- Physiology. --- Plant evolution. --- Podocnemis. --- Precipitation. --- Rain. --- Ravine. --- Red squirrel. --- Scientist. --- Singing. --- Social complexity. --- Soil. --- Soundscape. --- Species. --- Spectrogram. --- Stoma. --- Swainson's thrush. --- Temperate broadleaf and mixed forest. --- The Botanist. --- Thuja occidentalis. --- Tree height measurement. --- Tsuga. --- Underwater. --- Urban heat island. --- Vernal pool. --- Vibration. --- Website. --- Wildlife. --- lungwort.