3-Publications IGN 2021
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Sensitivity of change-point detection and trend estimates to GNSS IWV time series properties / Khanh Ninh Nguyen in Atmosphere, vol 12 n° 9 (September 2021)
[article]
Titre : Sensitivity of change-point detection and trend estimates to GNSS IWV time series properties Type de document : Article/Communication Auteurs : Khanh Ninh Nguyen, Auteur ; Annarosa Quarello , Auteur ; Olivier Bock , Auteur ; Emilie Lebarbier, Auteur Année de publication : 2021 Projets : VEGAN / Bock, Olivier Article en page(s) : n° 1102 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] analyse de sensibilité
[Termes IGN] coordonnées GNSS
[Termes IGN] données météorologiques
[Termes IGN] incertitude géométrique
[Termes IGN] segmentation
[Termes IGN] série temporelle
[Termes IGN] teneur intégrée en vapeur d'eauRésumé : (auteur) This study investigates the sensitivity of the GNSSseg segmentation method to change in: GNSS data processing method, length of time series (17 to 25 years), auxiliary data used in the integrated water vapor (IWV) conversion, and reference time series used in the segmentation (ERA-Interim versus ERA5). Two GNSS data sets (IGS repro1 and CODE REPRO2015), representative of the first and second IGS reprocessing, were compared. Significant differences were found in the number and positions of detected change-points due to different a priori ZHD models, antenna/radome calibrations, and mapping functions. The more recent models used in the CODE solution have reduced noise and allow the segmentation to detect smaller offsets. Similarly, the more recent reanalysis ERA5 has reduced representativeness errors, improved quality compared to ERA-Interim, and achieves higher sensitivity of the segmentation. Only 45–50% of the detected change-points are similar between the two GNSS data sets or between the two reanalyses, compared to 70–80% when the length of the time series or the auxiliary data are changed. About 35% of the change-points are validated with respect to metadata. The uncertainty in the homogenized trends is estimated to be around 0.01–0.02 kg m−2 year−1. Numéro de notice : A2021-791 Affiliation des auteurs : UMR IPGP-Géod+Ext (2020- ) Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/atmos12091102 En ligne : https://doi.org/10.3390/atmos12091102 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98993
in Atmosphere > vol 12 n° 9 (September 2021) . - n° 1102[article]Pure and even-aged forestry of fast growing conifers under climate change: on the need of a silvicultural paradigm shift / Clémentine Ols in Environmental Research Letters, vol 16 n° 2 (February 2021)
[article]
Titre : Pure and even-aged forestry of fast growing conifers under climate change: on the need of a silvicultural paradigm shift Type de document : Article/Communication Auteurs : Clémentine Ols , Auteur ; Jean-Daniel Bontemps , Auteur Année de publication : 2021 Projets : ARBRE/RESFORCLIM / Bock, Olivier Article en page(s) : n° 024030 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] changement climatique
[Termes IGN] croissance végétale
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] Picea abies
[Termes IGN] Pinophyta
[Termes IGN] Pinus sylvestris
[Termes IGN] plantation forestière
[Termes IGN] politique forestière
[Termes IGN] Préalpes (Europe)
[Termes IGN] production primaire brute
[Termes IGN] Pseudotsuga menziesii
[Termes IGN] résilience écologique
[Termes IGN] sylviculture
[Termes IGN] Union Européenne
[Vedettes matières IGN] Economie forestièreRésumé : (auteur) Pure and even-aged (PEA) forests of fast growing conifer species have for long been key providers of industrial raw material. Despite recent concern regarding their greater sensitivity to major natural disturbances, their impacts onto biodiversity and their funding efficiency, PEA conifer forests could remain a major economic target given the ongoing European strategy for bioeconomy. These forests are encountered across contrasted climates and in both native and introduced contexts across Europe giving rise to high uncertainties regarding their growth responses to current climate change. Using the French national forest inventory data, we inquired the radial growth of eight major conifer species in European forestry across 16 regional native and introduced PEA forest systems (n > 10,000 trees). Growth trends over the 2006-2016 period exhibited a negative association with absolute growth level in 2006, with strongest negative trends found for emblematic PEA forestry species (e.g. Norway spruce and Douglas-fir), and strongest positive trends for pine species (e.g. Scots pine). While the greater growth rate advantage of some species may shorten rotation and lower risk exposures for future decades, recent lowered productivity may affect the forest sector in the long run. The prevalence of PEA forests across European forest landscapes and their increasingly reported lower resilience to climate change compared to more complex forest systems call for the establishment of a long-term European forest policy strategy. Maintaining the environmental, social and economic benefits of forests should remain a priority in the European agenda, regardless of the financial costs at stake. Numéro de notice : A2021-060 Affiliation des auteurs : LIF (2020- ) Autre URL associée : vers HAL Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1088/1748-9326/abd6a7 Date de publication en ligne : 24/12/2020 En ligne : https://doi.org/10.1088/1748-9326/abd6a7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96732
in Environmental Research Letters > vol 16 n° 2 (February 2021) . - n° 024030[article]Documents numériques
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Pure and even-aged forestry ... - postprintAdobe Acrobat PDF Unexpected negative effect of available water capacity detected on recent conifer forest growth trends across wide environmental gradients / Clémentine Ols in Ecosystems, vol 25 n° 2 (March 2022)
[article]
Titre : Unexpected negative effect of available water capacity detected on recent conifer forest growth trends across wide environmental gradients Type de document : Article/Communication Auteurs : Clémentine Ols , Auteur ; Thomas Gschwantner, Auteur ; Klemens Schadauer, Auteur ; Jean-Daniel Bontemps , Auteur Année de publication : 2022 Projets : ARBRE / AgroParisTech (2007 -), LUE / Université de Lorraine Article en page(s) : pp 404 - 421 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Abies alba
[Termes IGN] analyse diachronique
[Termes IGN] Autriche
[Termes IGN] cerne
[Termes IGN] changement climatique
[Termes IGN] croissance des arbres
[Termes IGN] gradient d'altitude
[Termes IGN] hétérogénéité environnementale
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] Larix decidua
[Termes IGN] modèle de croissance végétale
[Termes IGN] Picea abies
[Termes IGN] Pinus sylvestris
[Termes IGN] ressources en eau
[Termes IGN] structure d'un peuplement forestier
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) National Forest Inventories (NFIs) perform systematic forest surveys across space and time. They are hence powerful tools to understand climate controls on forest growth at wide geographical scales and account for the effects of local abiotic and biotic interactions. To investigate the effects of climate change upon growth dynamics of four major European conifer species along elevation and continentality gradients, we herein provide an original harmonization of the French and Austrian NFI datasets. The growth of Norway spruce, Scots pine, silver fir and European larch over the 1996–2016 period was studied in pure and even-aged plots across different ecological regions. We derived climate-driven growth trends from > 65, 000 radial increment series filtered out from major biotic and abiotic influences using statistical modeling. We further identified primary environmental drivers of conifer growth by regressing growth trends against regionally aggregated biotic and abiotic forest attributes. Negative growth trends were observed in continental regions undergoing the most rapid warming and thermal amplitude contraction over the study period. Negative trends were also associated with lower forest structural heterogeneity and, surprisingly, with greater available water capacity. Remarkably, we observed these associations both at the inter- and intra-species levels, suggesting the universality of these primary growth determinants. Our study shows that harmonized NFI data at the transnational level provide reliable information on climate–growth interactions. Here, greater forest structural complexity and greater water resource limitation were highlighted as drivers of greater forest resilience to climate change at large-scale. This result forms crucial bases to implementing climate-smart forest management. Numéro de notice : A2022-023 Affiliation des auteurs : LIF+Ext (2020- ) Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10021-021-00663-3 En ligne : https://doi.org/10.1007/s10021-021-00663-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98116
in Ecosystems > vol 25 n° 2 (March 2022) . - pp 404 - 421[article]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 / Université de Lorraine 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]Earthquake sensitivity to tides and seasons: theoretical studies / François Pétrélis in Journal of Statistical Mechanics: Theory and Experiment, vol 2021 n° 2 (February 2021)
[article]
Titre : Earthquake sensitivity to tides and seasons: theoretical studies Type de document : Article/Communication Auteurs : François Pétrélis, Auteur ; Kristel Chanard , Auteur ; Alexandre Schubnel, Auteur ; Takahiro Hatano, Auteur Année de publication : 2021 Article en page(s) : n° 023404 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géophysique interne
[Termes IGN] analyse de sensibilité
[Termes IGN] marée terrestre
[Termes IGN] séisme
[Termes IGN] sismicité
[Termes IGN] variation saisonnièreRésumé : (auteur) We investigate theoretically the effects of periodic-in-time modulations on the properties of earthquakes. To wit, we consider successively the one dimensional Burridge–Knopoff (BK) model and the two dimensional Olami–Feder–Christensen (OFC) model. Each model is modified to take into account either a modulation of normal stress or of shear stress acting on a fault. Despite the differences between the BK and the OFC model, several results are observed in both models. In particular, we observe that earthquake occurrences correlate with stress modulation. The correlation is strongly dependent on parameters such as the type of modulation, its frequency and amplitude, and in some cases on the magnitude of the considered earthquakes. Numéro de notice : A2021-790 Affiliation des auteurs : UMR IPGP-Géod+Ext (2020- ) Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1088/1742-5468/abda29 En ligne : https://doi.org/10.1088/1742-5468/abda29 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98991
in Journal of Statistical Mechanics: Theory and Experiment > vol 2021 n° 2 (February 2021) . - n° 023404[article]Climate warming predispose sessile oak forests to drought-induced tree mortality regardless of management legacies / Any Mary Petritan in Forest ecology and management, vol 491 (July-1 2021)PermalinkImproving image description with auxiliary modality for visual localization in challenging conditions / Nathan Piasco in International journal of computer vision, vol 29 n° 1 (January 2021)PermalinkRecent increase in European forest harvests as based on area estimates (Ceccherini et al. 2020a) not confirmed in the French case / Nicolas Picard in Annals of Forest Science, vol 78 n° 1 (March 2021)PermalinkA generic information framework for decision-making in a forest-based bio-economy / Jean-Baptiste Pichancourt in Annals of Forest Science, vol 78 n° 4 (December 2021)PermalinkCrop rotation modeling for deep learning-based parcel classification from satellite time series / Félix Quinton in Remote sensing, vol 13 n° 22 (November-2 2021)PermalinkThe role of net ecosystem productivity and of inventories in climate change research: the need for “net ecosystem productivity with harvest”, NEPH / E.D. Schulze in Forest ecosystems, vol 8 (2021)PermalinkEffects of thinning practice, high pruning and slash management on crop tree and stand growth in young even-aged stands of planted silver birch (Betula pendula Roth) / Jens Peter Skovsgaard in Forests, vol 12 n° 2 (February 2021)PermalinkPermalinkScalable surface reconstruction with Delaunay-Graph neural networks / Raphaël Sulzer in Computer graphics forum, vol 40 n° 5 (2021)PermalinkFast unsupervised multi-scale characterization of urban landscapes based on Earth observation data / Claire Teillet in Remote sensing, vol 13 n° 12 (June-2 2021)Permalink