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Termes IGN > sciences naturelles > sciences de la Terre et de l'univers > géosciences > géographie physique > météorologie > climatologie > changement climatique
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Bioclimatic modeling of potential vegetation types as an alternative to species distribution models for projecting plant species shifts under changing climates / Robert E. Keane in Forest ecology and management, vol 477 ([01/12/2020])
[article]
Titre : Bioclimatic modeling of potential vegetation types as an alternative to species distribution models for projecting plant species shifts under changing climates Type de document : Article/Communication Auteurs : Robert E. Keane, Auteur ; Lisa M. Holsinger, Auteur ; Rachel Loehman, Auteur Année de publication : 2020 Article en page(s) : 12 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] carte de la végétation
[Termes IGN] changement climatique
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] distribution spatiale
[Termes IGN] écosystème
[Termes IGN] espèce végétale
[Termes IGN] habitat forestier
[Termes IGN] modèle de simulation
[Termes IGN] modèle dynamique
[Termes IGN] modélisation de la forêt
[Termes IGN] Montana (Etats-Unis)
[Termes IGN] substitution
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Land managers need new tools for planning novel futures due to climate change. Species distribution modeling (SDM) has been used extensively to predict future distributions of species under different climates, but their map products are often too coarse for fine-scale operational use. In this study we developed a flexible, efficient, and robust method for mapping current and future distributions and abundances of vegetation species and communities at the fine spatial resolutions that are germane to land management. First, we mapped Potential Vegetation Types (PVTs) using conventional statistical modeling techniques (Random Forests) that used bioclimatic ecosystem process and climate variables as predictors. We obtained over 50% accuracy across 13 mapped PVTs for our study area. We then applied future climate projections as climate input to the Random Forest model to generate future PVT maps, and used field data describing the occurrence of tree and non-tree species in each PVT category to model and map species distribution for current and future climate. These maps were then compared to two previous SDM mapping efforts with over 80% agreement and equivalent accuracy. Because PVTs represent the biophysical potential of the landscape to support vegetation communities as opposed to the vegetation that currently exists, they can be readily linked to climate forecasts and correlated with other, climate-sensitive ecological processes significant in land management, such as fire regimes and site productivity. Numéro de notice : A2020-624 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1016/j.foreco.2020.118498 Date de publication en ligne : 18/08/2020 En ligne : https://doi.org/10.1016/j.foreco.2020.118498 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96022
in Forest ecology and management > vol 477 [01/12/2020] . - 12 p.[article]A deep learning approach to improve the retrieval of temperature and humidity profiles from a ground-based microwave radiometer / Xing Yan in IEEE Transactions on geoscience and remote sensing, Vol 58 n° 12 (December 2020)
[article]
Titre : A deep learning approach to improve the retrieval of temperature and humidity profiles from a ground-based microwave radiometer Type de document : Article/Communication Auteurs : Xing Yan, Auteur ; Chen Liang, Auteur ; Yize Jiang, Auteur Année de publication : 2020 Article en page(s) : pp 8427 - 8437 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] apprentissage profond
[Termes IGN] changement climatique
[Termes IGN] classification par réseau neuronal
[Termes IGN] humidité du sol
[Termes IGN] modèle atmosphérique
[Termes IGN] radiomètre à hyperfréquence
[Termes IGN] température au solRésumé : (auteur) The ground-based microwave radiometer (MWR) retrieves atmospheric profiles with a high temporal resolution for temperature and humidity up to a height of 10 km. Such profiles are critical for understanding the evolution of climate systems. To improve the accuracy of profile retrieval in MWR, we developed a deep learning approach called batch normalization and robust neural network (BRNN). In contrast to the traditional backpropagation neural network (BPNN), which has previously been applied for MWR profile retrieval, BRNN reduces overfitting and has a greater capacity to describe nonlinear relationships between MWR measurements and atmospheric structure information. Validation of BRNN with the radiosonde demonstrates a good retrieval capability, showing a root-mean-square error of 1.70 K for temperature, 11.72% for relative humidity (RH), and 0.256 g/m 3 for water vapor density. A detailed comparison with various inversion methods (BPNN, extreme gradient boosting, support vector machine, ridge regression, and random forest) has also been conducted in this research, using the same training and test data sets. From the comparison, we demonstrated that BRNN significantly improves retrieval accuracy, particularly for the retrieval of temperature and RH near the surface. Numéro de notice : A2020-741 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2020.2987896 Date de publication en ligne : 29/04/2020 En ligne : https://doi.org/10.1109/TGRS.2020.2987896 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96371
in IEEE Transactions on geoscience and remote sensing > Vol 58 n° 12 (December 2020) . - pp 8427 - 8437[article]The Urban Climate Services URCLIM project / Valéry Masson in Climate Services, vol 20 (December 2020)
[article]
Titre : The Urban Climate Services URCLIM project Type de document : Article/Communication Auteurs : Valéry Masson, Auteur ; Erwan Bocher, Auteur ; Bénédicte Bucher , Auteur ; Zenaida Chitu, Auteur ; Sidonie Christophe , Auteur ; et al., Auteur Année de publication : 2020 Projets : URCLIM / Masson, Valéry Article en page(s) : n° 100194 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] analyse multicritère
[Termes IGN] changement climatique
[Termes IGN] gestion urbaine
[Termes IGN] propagation d'incertitude
[Termes IGN] urbanisme
[Termes IGN] ville
[Termes IGN] ville durable
[Termes IGN] ville intelligenteRésumé : (auteur) [introduction] While already just over 50% of the world population lives in cities, it is expected that on balance practically all population growth up to 2050 is in cities, amounting to 3 billion extra urban inhabitants amounting to a total urban population of 6.5 billion people (Revi et al., 2014). Cities are particularly vulnerable to climate change because of their high concentration of population, goods, capital stock, and infrastructures. Heat waves in particular, enhanced locally by the so-called Urban Heat Island (UHI) lead to an above-normal mortality rate in cities (Wong et al., 2013; Shaposhnikov et al., 2014). Intense precipitation in urban areas, on the other hand, cause more easily floods with dire consequences because of the impermeability of the urban surfaces (Muis et al., 2015; Yin et al., 2016). Air quality conditions in cities are recurrently and often even continuously exceeding health limits. Furthermore, cities are strong emitters of greenhouse-gases, as the high concentration of human activities, like transport and industry, entails high levels of energy consumption. Numéro de notice : A2020-819 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Autre URL associée : vers HAL Thématique : URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.cliser.2020.100194 Date de publication en ligne : 11/11/2020 En ligne : https://doi.org/10.1016/j.cliser.2020.100194 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97237
in Climate Services > vol 20 (December 2020) . - n° 100194[article]Recent growth trends of conifers across Western Europe are controlled by thermal and water constraints and favored by forest heterogeneity / Clémentine Ols in Science of the total environment, vol 742 ([10/11/2020])
[article]
Titre : Recent growth trends of conifers across Western Europe are controlled by thermal and water constraints and favored by forest heterogeneity Type de document : Article/Communication Auteurs : Clémentine Ols , Auteur ; Jean-Christophe Hervé (1961-2017) , Auteur ; Jean-Daniel Bontemps , Auteur Année de publication : 2020 Projets : ARBRE/GRECOFOR-CC / Bontemps, Jean-Daniel Article en page(s) : n° 140453 Note générale : bibliographie
corrigendum : https://doi.org/10.1016/j.scitotenv.2020.143185Langues : Anglais (eng) Descripteur : [Termes IGN] changement climatique
[Termes IGN] croissance des arbres
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] modèle de croissance végétale
[Termes IGN] Pinophyta
[Termes IGN] surveillance forestière
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Tree growing conditions are changing rapidly in the face of climate change. Capturing tree-growth response to such changes across environmental contexts and tree species calls for a continuous forest monitoring over space. Based on >10,000 tree-ring measurements sampled across the systematic grid of the continuous French national forest inventory (NFI) over the 2006–2016 period, we evaluated the radial growth trends of eight conifer tree species prevalent in European forests across their native and introduced ranges and various bioclimatic contexts (n = 16 forest systems). For each forest system, radial increments were filtered out from tree, plot, soil and climatic normal influences to isolate environment-driven growth signals and quantify residual time-series. Associated growth trends across forest systems were then confronted against environmental variables (e.g. short-term averages and trends in seasonal climate). Trends for a given species were systematically more positive in cooler contexts (higher elevations or northern distribution margins) than in warmer contexts (plains). Decreases and increases in precipitation regimes were found to be associated with negative and positive tree growth trends, respectively. Remarkably, positive growth trends were mainly observed for native forest systems (7/9) and negative trends for introduced systems (5/7). Native forests showed a more heterogeneous forest structure as compared to introduced forests that, in line with observed positive dependence of tree growth trends onto both water availability and forest heterogeneity, appears to modulate the competitive pressure on water resource with ongoing summer maximum temperature increase. Over a short annually-resolved study period, we were able to capture tree growth responses coherent with climate change across diverse forest ecosystems. With ongoing accumulation of data, the continuous French NFI hence arises as powerful support to monitoring climate change effects on forests. Numéro de notice : A2020-509 Affiliation des auteurs : LIF (2012-2019) Autre URL associée : vers HAL Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.scitotenv.2020.140453 Date de publication en ligne : 23/06/2020 En ligne : https://doi.org/10.1016/j.scitotenv.2020.140453 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95767
in Science of the total environment > vol 742 [10/11/2020] . - n° 140453[article]Documents numériques
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Recent growth trends of conifers ... Annexes - pdf auteurAdobe Acrobat PDF Adaptation de l'irrigation au changement climatique dans l'Union européenne : les actions engagées par les États membres pour économiser l'eau / Claire Serra-Wittling in Sciences, eaux & territoires, n° 34 (novembre 2020)
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Titre : Adaptation de l'irrigation au changement climatique dans l'Union européenne : les actions engagées par les États membres pour économiser l'eau Type de document : Article/Communication Auteurs : Claire Serra-Wittling, Auteur ; Silvia Baralla, Auteur ; Immaculada Bravo Dominguez, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 8 - 17 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Environnement
[Termes IGN] changement climatique
[Termes IGN] cultures irriguées
[Termes IGN] développement durable
[Termes IGN] gestion de l'eau
[Termes IGN] irrigation
[Termes IGN] production agricole
[Termes IGN] réseau de distribution d'eau
[Termes IGN] Union EuropéenneRésumé : [introduction] Comment ont évolué les prélèvements d’eau pour l’irrigation dans l’Union européenne ? Quels dispositifs ont été mis en œuvre dans les États membres pour économiser l’eau ? Quels ont été les résultats les plus probants et avec quelles pratiques innovantes ? Lors du colloque « Économies d’eau en irrigation » organisé en novembre 2019 à Montpellier, des experts européens ont fait le bilan. Leurs témoignages variés montrent qu’à l'échelle européenne, les économies d'eau sont possibles grâce à l'amélioration de l'efficacité globale de l'irrigation, en combinant des technologies (infrastructures, systèmes d'application, outils de planification) et des pratiques plus performantes. Numéro de notice : A2020-817 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Article DOI : 10.14758/SET-REVUE.2020.5.02 Date de publication en ligne : 28/11/2020 En ligne : https://doi.org/10.14758/SET-REVUE.2020.5.02 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97031
in Sciences, eaux & territoires > n° 34 (novembre 2020) . - pp 8 - 17[article]Analysis of the effect of climate warming on paludification processes: Will soil conditions limit the adaptation of Northern boreal forests to climate change? A synthesis / Ahmed Laamrani in Forests, vol 11 n°11 (November 2020)PermalinkNon-stationary extreme value analysis of ground snow loads in the French Alps: a comparison with building standards / Erwann Le Roux in Natural Hazards and Earth System Sciences, vol 20 n° 11 (November 2020)PermalinkSea surface temperature and high water temperature occurrence prediction using a long short-term memory model / Minkyu Kim in Remote sensing, vol 12 n° 21 (November 2020)PermalinkSpatio-temporal evolution, future trend and phenology regularity of net primary productivity of forests in Northeast China / Chunli Wang in Remote sensing, vol 12 n° 21 (November 2020)PermalinkUsing climate-sensitive 3D city modeling to analyze outdoor thermal comfort in urban areas / Rabeeh Hosseinihaghighi in ISPRS International journal of geo-information, vol 9 n° 11 (November 2020)PermalinkArctic tsunamis threaten coastal landscapes and communities – survey of Karrat Isfjord 2017 tsunami effects in Nuugaatsiaq, western Greenland / Mateusz C. Strzelecki in Natural Hazards and Earth System Sciences, vol 20 n° 9 (September 2020)PermalinkL-band SAR for estimating aboveground biomass of rubber plantation in Java Island, Indonesia / Bambang H Trisasongko in Geocarto international, vol 35 n° 12 ([01/09/2020])PermalinkA novel algorithm to estimate phytoplankton carbon concentration in inland lakes using Sentinel-3 OLCI images / Heng Lyu in IEEE Transactions on geoscience and remote sensing, vol 58 n° 9 (September 2020)PermalinkUsing OpenStreetMap data and machine learning to generate socio-economic indicators / Daniel Feldmeyer in ISPRS International journal of geo-information, vol 9 n° 9 (September 2020)PermalinkGlobal Climate [in “State of the Climate in 2019"] / A. Ades in Bulletin of the American Meteorological Society, vol 101 n° 8 (August 2020)Permalink