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Topographic, edaphic and climate influences on aspen (Populus tremuloides) drought stress on an intermountain bunchgrass prairie / Andrew Neary in Forest ecology and management, vol 479 ([01/01/2021])
[article]
Titre : Topographic, edaphic and climate influences on aspen (Populus tremuloides) drought stress on an intermountain bunchgrass prairie Type de document : Article/Communication Auteurs : Andrew Neary, Auteur ; Ricardo Mata-González, Auteur ; Heidi Schmalz, Auteur Année de publication : 2021 Article en page(s) : 12 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse de sensibilité
[Termes IGN] climat
[Termes IGN] écophysiologie
[Termes IGN] état du sol
[Termes IGN] facteur édaphique
[Termes IGN] hauteur des arbres
[Termes IGN] humidité du sol
[Termes IGN] manteau neigeux
[Termes IGN] Oregon (Etats-Unis)
[Termes IGN] Poaceae
[Termes IGN] Populus tremuloides
[Termes IGN] prairie
[Termes IGN] série temporelle
[Termes IGN] stress hydrique
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Quaking aspen, Populus tremuloides, has experienced severe declines in recent years in part due to the effects of changing climate and extreme drought. This study set out to investigate these effects by assessing associations of climatic, edaphic and topographic variables with physiological drought stress in aspen. The study took place on the Zumwalt Prairie in northeastern Oregon, a semi-arid bunchgrass prairie where aspen occur in isolated stands associated with riparian areas and late-season persistence of snow drifts. Using a 33-year time series of Landsat imagery to detect associations of aspen stands late-season snow cover and field measurements of soil moisture in aspen stands during 2017, we found while snow dominated stands were associated with greater soil moisture during spring, levels had equilibrated to those of other upland stands by summer. Measurements of predawn and midday stem Ψ in multiple height classes of aspen ramets revealed associations of both shallow soil moisture and vapor pressure deficit with physiological drought stress in aspen. Analysis of soil texture class revealed an important association with midday stem Ψ, with finer textured soils associated with decreased stem Ψ in comparison to coarser textured soils. While neither topographical characteristics nor snow cover were found to be important drivers of drought stress, topographical curvature was found to have a strong influence on summer soil moisture in upland stands. These findings contribute to our understanding of aspen physiology, drought ecology and landscape hydrology toward the xeric margin of aspen’s range. This information can help land managers anticipate and adapt to changing climates and understand their effects on key plant species such as aspen. Numéro de notice : A2021-001 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1016/j.foreco.2020.118530 Date de publication en ligne : 08/09/2020 En ligne : https://doi.org/10.1016/j.foreco.2020.118530 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96028
in Forest ecology and management > vol 479 [01/01/2021] . - 12 p.[article]Towards a systematic and continuous monitoring of climate change impacts on forest productivity in Europe [diaporama] / Clémentine Ols (2021)
Titre : Towards a systematic and continuous monitoring of climate change impacts on forest productivity in Europe [diaporama] Type de document : Article/Communication Auteurs : Clémentine Ols , Auteur ; Thomas Gschwantner, Auteur ; Klemens Schadauer, Auteur ; Jean-Daniel Bontemps , Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2021 Conférence : DEEPSURF 2021, conference 12/10/2021 14/10/2021 Nancy France , European webinar 2022, From National Forest Inventories to European Level Forest Monitoring 27/01/2022 14/10/2021 Nancy France Importance : 35 p. Langues : Anglais (eng) Descripteur : [Termes IGN] Autriche
[Termes IGN] cerne
[Termes IGN] changement climatique
[Termes IGN] données de terrain
[Termes IGN] échantillonnage (statistique)
[Termes IGN] Europe (géographie politique)
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] modélisation de la forêt
[Termes IGN] productivité biologique
[Termes IGN] stratégie
[Termes IGN] surveillance forestière
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Climate change mitigation and energy transition are becoming priorities on many political agenda across the world, and especially in Europe. Forests, through their capacity to sequester carbon and produce renewable materials, are key assets to reach these environmental goals. European forests are encountered across wide biogeographic gradients and have recently shown contrasted productivity responses to climate change. Maximizing the climate benefits of European forests requires to precisely track forest productivity trajectories across regions in a continuously changing growing environment. National Forest Inventories (NFIs) perform systematic forest surveys across space and time and are powerful tools to monitor forest productivity dynamics and climate controls upon forest productivity at wide geographical scales. Building upon the ongoing pan-European harmonization of NFI data and information, we developed an original and promising modeling framework to extract large-scale climate-driven productivity dynamics and confront them to silvicultural and environmental attributes. With its simple and versatile design, it can be easily applied to diverse NFI schemes (annual vs. periodic field campaigns, permanent vs. temporary plots, radial increment vs. diameter measurements). To illustrate its promising potential to monitoring forest productivity dynamics, we consecutively applied it to study pure and even-aged conifer forests (1) in France over the 2006-2016 and (2) in France and Austria over the 1996-2016 period. Results highlighted in both cases a strong control of water resources on recent productivity trends, particularly in plains where fast-growing conifers species have been massively introduced during the XXe century and where sequestration dynamics have been the least favorable. Greater forest structural complexity was also identified as a driver of greater forest resilience to climate change. These results are of major concerns when conifer plantations have been largely encouraged these last decades, notably through state financial programs. Harmonized NFI data at the transnational level provide reliable information to i) survey carbon sequestration dynamics of different regional forest sinks; (ii) alert on the weakening of these sinks, (iii) implement large-scale climate-smart forest management; and (iv) adapt carbon sequestration strategies (ex. tree species substitution). The application of the present framework to other NFIs in Europe would support an integrative and continental monitoring of forest resources, in line with current EU strategies. Numéro de notice : C2021-033 Affiliation des auteurs : LIF+Ext (2020- ) Thématique : FORET Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99046 Documents numériques
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Towards a systematic and continuous monitoring ... - pdf auteurAdobe Acrobat PDF Turgor – a limiting factor for radial growth in mature conifers along an elevational gradient / Richard L. Peters in New phytologist, vol 229 n° 1 (January 2021)
[article]
Titre : Turgor – a limiting factor for radial growth in mature conifers along an elevational gradient Type de document : Article/Communication Auteurs : Richard L. Peters, Auteur ; Kathy Steppe, Auteur ; Henri E. Cuny , Auteur ; Dirk J.W. de Pauw, Auteur ; David Frank, Auteur ; Marcus Schaub, Auteur ; Cyrille B.K. Rathgeber, Auteur ; Antoine Cabon, Auteur ; Patrick Fonti, Auteur Année de publication : 2021 Projets : 3-projet - voir note / Article en page(s) : pp 213 - 229 Note générale : bibliographie
Funding information : COST Action network. Grant Number: STReESS/FP1106 -&- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung. Grant Numbers: CLIMWOOD/160077, Early Postdoc.Mobility/P2BSP3_184475, LOTFOR/150205Langues : Anglais (eng) Descripteur : [Termes IGN] cerne
[Termes IGN] changement climatique
[Termes IGN] croissance des arbres
[Termes IGN] gradient
[Termes IGN] gradient de pente
[Termes IGN] Larix decidua
[Termes IGN] modèle de croissance végétale
[Termes IGN] modèle de simulation
[Termes IGN] Picea abies
[Termes IGN] Pinophyta
[Termes IGN] puits de carbone
[Termes IGN] sécheresse
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) A valid representation of intra‐annual wood formation processes in global vegetation models is vital for assessing climate change impacts on the forest carbon stock. Yet, wood formation is generally modelled with photosynthesis, despite mounting evidence that cambial activity is rather directly constrained by limiting environmental factors. Here, we apply a state‐of‐the‐art turgor‐driven growth model to simulate 4 yr of hourly stem radial increment from Picea abies (L.) Karst. and Larix decidua Mill. growing along an elevational gradient. For the first time, wood formation observations were used to validate weekly to annual stem radial increment simulations, while environmental measurements were used to assess the climatic constraints on turgor‐driven growth. Model simulations matched the observed timing and dynamics of wood formation. Using the detailed model outputs, we identified a strict environmental regulation on stem growth (air temperature > 2°C and soil water potential > −0.6 MPa). Warmer and drier summers reduced the growth rate as a result of turgor limitation despite warmer temperatures being favourable for cambial activity. These findings suggest that turgor is a central driver of the forest carbon sink and should be considered in next‐generation vegetation models, particularly in the context of global warming and increasing frequency of droughts. Numéro de notice : A2021-177 Affiliation des auteurs : IGN+Ext (2020- ) Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/nph.16872 Date de publication en ligne : 07/12/2020 En ligne : https://doi.org/10.1111/nph.16872 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96863
in New phytologist > vol 229 n° 1 (January 2021) . - pp 213 - 229[article]Unit-level small area estimation of forest inventory with GEDI auxiliary information / Shaohui Zhang (2021)
Titre : Unit-level small area estimation of forest inventory with GEDI auxiliary information Type de document : Article/Communication Auteurs : Shaohui Zhang, Auteur ; Cédric Vega , Auteur ; Olivier Bouriaud , Auteur ; Sylvie Durrieu, Auteur ; Jean-Pierre Renaud , Auteur Editeur : Vienne [Autriche] : Technische Universität Wien Année de publication : 2021 Collection : Geowissenschaftliche Mitteilungen, ISSN 1811-8380 num. 104 Projets : 1-Pas de projet / Conférence : SilviLaser 2021, 17th conference on Lidar Applications for Assessing and Managing Forest Ecosystems 28/09/2021 30/09/2021 Vienne + online Autriche open access proceedings Importance : pp 136 - 138 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] aire naturelle (écologie)
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Global Ecosystem Dynamics Investigation lidar
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] patrimoine naturelRésumé : (auteur) National Forest Inventories (NFIs) play an important role in understanding the state of forests at the national and regional levels. Forest inventory for small territorial areas, such as municipalities, is also important for decision-makers. However, information is relatively limited at this level. As a result, developing small area estimation (SAE) approaches has gained increasing popularity in the field of forest inventory. It enables prediction of forest attributes for sub-populations using regression models based on auxiliary data commonly derived from remote sensing techniques over an area of interest (AOI). It has been reported that SAE can improve the precision of forest inventory without increasing costs (Mandallaz, Breschan and Hill 2013) and may produce reliable predictions of forest attributes locally, even when field plots are not available (Rao 2014). Tomppo (2006) is a pioneer in the use of auxiliary data for multisource forest inventory. Previously, common sources of auxiliary data often came from satellite-based imagery (McRoberts et al. 2007), digital aerial photogrammetry (Breidenbach et al. 2018), and airborne laser scanning (Magnussen et al. 2014). NASA’s newly-launched Global Ecosystem Dynamics Investigation (GEDI) is a full waveform LiDAR instrument aboard the International Space Station (ISS). Its products consist of footprint measurements projected to cover 4% of the global land surface by the end of its mission (Dubayah et al. 2020). This will provide an unprecedented opportunity to systematically collect samples of forest information that can be used in SAE on a large scale. The objective of this study is to explore the possibility of using GEDI auxiliary data to improve the accuracy of forest inventory for a large natural area in central France (Sologne), as well as for smaller sub-areas defined by French administrative boundaries (departments). The results will then be compared against estimates obtained from simple random sampling (SRS), to assess the efficiency of the auxiliary data. Numéro de notice : C2021-062 Affiliation des auteurs : LIF+Ext (2020- ) Thématique : FORET/IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.34726/wim.1941 Date de publication en ligne : 01/12/2021 En ligne : https://doi.org/10.34726/wim.1941 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99383 Using remote sensing and modeling to monitor and understand harmful algal blooms. Application to Karaoun Reservoir (Lebanon) / Najwa Sharaf (2021)
Titre : Using remote sensing and modeling to monitor and understand harmful algal blooms. Application to Karaoun Reservoir (Lebanon) Type de document : Thèse/HDR Auteurs : Najwa Sharaf, Auteur ; Brigitte Vinçon-Leite, Directeur de thèse ; Kamal Slim, Directeur de thèse Editeur : Paris : Ecole Nationale des Ponts et Chaussées ENPC Année de publication : 2021 Importance : 132 p. Format : 21 x 30 cm Note générale : bibliographie
Thèse de Doctorat Sciences et Techniques de l’environnementLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] algue
[Termes IGN] barrage
[Termes IGN] chlorophylle
[Termes IGN] distribution spatiale
[Termes IGN] espèce exotique envahissante
[Termes IGN] hydrodynamique
[Termes IGN] image Landsat-8
[Termes IGN] image Sentinel-MSI
[Termes IGN] lac
[Termes IGN] Liban
[Termes IGN] modélisation 3D
[Termes IGN] plancton
[Termes IGN] simulation hydrodynamique
[Termes IGN] température de surfaceIndex. décimale : THESE Thèses et HDR Résumé : (auteur) Reservoirs are strategic water resources in particular for drinking water and hydropower production. Nevertheless, their physical and biogeochemical processes have been long influenced by anthropogenic pressures. A complete and regular monitoring of reservoir water quality in the context of current climate change, eutrophication and higher water demand, has become crucial for optimal management strategies. Recent progress in the satellite remote sensing field made it possible to enhance data acquisition on a synoptic scale and to perform retrospective studies. Satellite data can complement measurements however over a limited depth of the water column. In addition, three-dimensional (3D) numerical models which integrate physical, chemical and biological processes can fill temporal gaps and extend the information into the vertical domain.In this context, this PhD thesis focuses on the combined use of techniques and data derived from field monitoring, satellite remote sensing and 3D modeling. The overreaching objective of this work is to propose a combined approach for surveying the water quality of medium-sized reservoirs (~ 14 km2).The study site is Karaoun Reservoir, Lebanon (semi-arid climate, surface 12 km2, capacity 110 hm3). It mainly serves for hydropower however with possibly a future drinking water production. It is eutrophic and has been experiencing regular events of toxic cyanobacterial blooms. The following methodological approach was adopted:i) In situ measurements were regularly collected from spring to fall for the calibration and the validation of remote sensing algorithms and of the model.ii) In order to calibrate and validate remote sensing algorithms, Landsat 8 and Sentinel-2 imagery were atmospherically corrected using a single-channel algorithm and the 6SV code respectively.a. Four algorithms from literature for deriving surface temperature were validated using Landsat 8 thermal data.b. A previously calibrated and validated Sentinel-2 algorithm was applied to retrieve chlorophyll-a concentrations.c. An empirical algorithm was calibrated and validated in order to retrieve transparency from Sentinel-2 data.iii) In order to conduct a retrospective analysis of surface temperature, the validated single channel algorithm was applied to a series of Landsat images from 1984 to 2018.iv) In order to reproduce the hydrodynamics and ecological processes, including cyanobacterial biomass in space and time, the Delft3D model was configured, calibrated and validated for summer and fall. The spatial distribution of surface temperature and chlorophyll-a concentrations from the satellite and the model were investigated.The results of this study revealed that, among the four tested algorithms, the single channel algorithm dependent on atmospheric water vapor content and lake water emissivity yielded the best estimations of surface temperature. Using this validated algorithm, the retrospective analysis of surface temperature did not reveal any warming trend over the 1984-2018 period at the study site. Compared to in situ profiles, the Delft3D model represented well the evolution of the water level fluctuations, and the time and vertical distribution of temperature and phytoplankton biomass. Satellite data and model simulations showed minor spatial heterogeneities of surface temperature ( Note de contenu : General introduction
1- State of the art
2- Materials and methods
3- Field data analysis
4- Lake surface temperature retrieval from Landsat-8 and retrospective analysis
5- Thermal regime of reservoirs: A satellite and 3D modeling approach
6- 3D ecological modeling at Karaoun Reservoir
7- Conclusions and perspectivesNuméro de notice : 28499 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse française Note de thèse : Thèse de Doctorat : Sciences et Techniques de l’environnement : Ponts ParisTech : 2021 Organisme de stage : Laboratoire Eau Environnement et Systèmes Urbains DOI : sans En ligne : https://pastel.archives-ouvertes.fr/tel-03404563 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99311 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 / Baptiste Kerfriden (2021)PermalinkVolumes by tree species can be predicted using photogrammetric UAS data, Sentinel-2 images and prior field measurements / Mikko Kukkonen in Silva fennica, vol 55 n° 1 (January 2021)PermalinkReply to Elmendorf and Ettinger: Photoperiod plays a dominant and irreplaceable role in triggering secondary growth resumption / Jian-Guo Huang in Proceedings of the National Academy of Sciences of the United States of America PNAS, vol 117 n° 52 (December 2020)PermalinkClimate sensitive single tree growth modeling using a hierarchical Bayes approach and integrated nested Laplace approximations (INLA) for a distributed lag model / Arne Nothdurft in Forest ecology and management, vol 478 ([15/12/2020])PermalinkCNN-based tree species classification using high resolution RGB image data from automated UAV observations / Sebastian Egli in Remote sensing, vol 12 n° 23 (December-2 2020)PermalinkMonitoring of wheat crops using the backscattering coefficient and the interferometric coherence derived from Sentinel-1 in semi-arid areas / Nadia Ouaadi in Remote sensing of environment, Vol 251 (15 December 2020)PermalinkApport des SIG dans le suivi des activités de reboisement dans la Forêt école de l’ENEF Mbalmayo / Daniele Roseline Bikie Mindang in Revue Internationale de Géomatique, Aménagement et Gestion des Ressources, RIGAGER, n° 7-8 (décembre 2020)PermalinkLa biodiversité, une ressource, mais aussi un fardeau ? Intérêt et limites des notions de services et disservices écosystémiques pour repenser les interactions nature-sociétés dans les territoires ruraux / Julien Blanco in VertigO, vol 20 n° 3 (décembre 2020)PermalinkLa biomasse des forêts méditerranéennes : Les premiers résultats du projet XyloDensMap / Jean-Michel Leban in Forêt méditerranéenne, vol 41 n° 4 (December 2020)PermalinkComparison of spatially and nonspatially explicit nonlinear mixed effects models for Norway spruce individual tree growth under single-tree selection / Simone Bianchi in Forests, vol 11 n° 12 (December 2020)Permalink