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Titre : Biodiversity and health in the face of climate change Type de document : Monographie Auteurs : Melissa R. Marselle, Éditeur scientifique ; Jutta Stadler, Éditeur scientifique ; Horst Korn, Éditeur scientifique ; et al., Auteur Editeur : Springer Nature Année de publication : 2019 Importance : 745 p. ISBN/ISSN/EAN : 978-3-030-02318-8 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Ecologie
[Termes IGN] aménagement paysager
[Termes IGN] bien-être collectif
[Termes IGN] biodiversité
[Termes IGN] changement climatique
[Termes IGN] conservation des ressources naturelles
[Termes IGN] gestion des ressources
[Termes IGN] planification urbaine
[Termes IGN] santé
[Termes IGN] santé mentaleRésumé : (éditeur) his open access book identifies and discusses biodiversity’s contribution to physical, mental and spiritual health and wellbeing. Furthermore, the book identifies the implications of this relationship for nature conservation, public health, landscape architecture and urban planning – and considers the opportunities of nature-based solutions for climate change adaptation. This transdisciplinary book will attract a wide audience interested in biodiversity, ecology, resource management, public health, psychology, urban planning, and landscape architecture. The emphasis is on multiple human health benefits from biodiversity - in particular with respect to the increasing challenge of climate change. This makes the book unique to other books that focus either on biodiversity and physical health or natural environments and mental wellbeing. The book is written as a definitive ‘go-to’ book for those who are new to the field of biodiversity and health. Note de contenu : Part I- Biodiversity and Physical Health
Part II- Biodiversity, Mental Health and Spiritual Well-being
Part III- Implications of the Biodiversity and Health Relationship
Part IV- Planning and Managing Urban Green Spaces for Biodiversity and Health in a Changing Climate
ConclusionsNuméro de notice : 25983 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE Nature : Monographie DOI : 10.1007/978-3-030-02318-8 En ligne : https://doi.org/10.1007/978-3-030-02318-8 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96716 Biomass ratio varies along soil water availability : An analysis based on wood density data collected by the French NFI / Baptiste Kerfriden (2019)
Titre : Biomass ratio varies along soil water availability : An analysis based on wood density data collected by the French NFI Type de document : Article/Communication Auteurs : Baptiste Kerfriden , Auteur ; Jean-Daniel Bontemps
, Auteur ; Jean-Michel Leban
, Auteur
Editeur : Paris [France] : Institut national de recherche pour l’agriculture, l’alimentation et l’environnement INRAE (2020-) Année de publication : 2019 Conférence : Conference 2019, A century of national forest inventories – informing past, present and future decisions 19/05/2019 21/05/2019 Oslo Norvège programme sans actes Langues : Anglais (eng) Descripteur : [Termes IGN] biomasse forestière
[Termes IGN] changement climatique
[Termes IGN] composition d'un peuplement forestier
[Termes IGN] densité du bois
[Termes IGN] humidité du sol
[Termes IGN] inventaire forestier national (données France)
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Biomass ratio is a state variable allowing the conversion of the forest growing stock into biomass (Kauppi et al., 2006). This variable is most often considered constant per tree species despite the huge range of intraspecific variability of basic density. Indeed, the factors that influence wood density are numerous: tree growth and age, competition (e.g. forest structure), genetics as well as intra and inter annual climatic variations. In light of such diversity, scientific research into forest biomass characteristics is required to better incorporate the heterogeneity of forests in the forest carbon accounting methods (Bowen et al., 2011).
Materials and methods: In 2016 and 2017 over fifty five thousands increment cores were collected in the field by the French NFI. Wood density measurements were performed at INRA (Leban et al., 2019, this conference) and combined with the French NFI calculation system, biomass ratio can now be computed as a standard. This quantity can now be depicted over stratification variables such as soil water availability. An exploratory and ANOVA-assisted analysis of this gradient was performed.
Results: Biomass ratio was found strongly related to soil water availability, with a decrease of biomass ratio at the hardwood and softwood scale, but no correlation were found at the specie level. Explanations come from the species repartition along the gradients from high wood density to low density driven by soil water availability.
Conclusion: Wood density data acquired on the French NFI allow major steps forward toward the proper estimate of forest biomass resources and of carbon sequestration. Biomass ratio was found correlated with climatic contexts, suggesting that biomass sequestration at constant volume may increase in a warmer climate. But this change will be made through change of composition of the forest rather than an adaptation of the species.Numéro de notice : C2019-049 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET Nature : Poster nature-HAL : Poster-avec-CL DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95768 Challenges in grassland mowing event detection with multimodal Sentinel images / Anatol Garioud (2019)
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Titre : Challenges in grassland mowing event detection with multimodal Sentinel images Type de document : Article/Communication Auteurs : Anatol Garioud , Auteur ; Sébastien Giordano
, Auteur ; Silvia Valero, Auteur ; Clément Mallet
, Auteur
Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2019 Projets : 2-Pas d'info accessible - article non ouvert / Conférence : MultiTemp 2019, 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images 05/08/2019 07/08/2019 Shanghai Chine Proceedings IEEE Importance : pp 1 - 4 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] apprentissage profond
[Termes IGN] détection d'événement
[Termes IGN] données lidar
[Termes IGN] image multibande
[Termes IGN] image RapidEye
[Termes IGN] image Sentinel-MSI
[Termes IGN] image Sentinel-SAR
[Termes IGN] image TerraSAR-X
[Termes IGN] méthode robuste
[Termes IGN] nébulosité
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] Perceptron multicouche
[Termes IGN] prairie
[Termes IGN] régression
[Termes IGN] réseau neuronal récurrent
[Termes IGN] série temporelle
[Termes IGN] surveillance de la végétationRésumé : (auteur) Permanent Grasslands (PG) are heterogeneous environments with high spatial and temporal dynamics, subject to increasing environmental challenges. This study aims to identify requirements, key constraining factors and solutions for robust and complete detection of Mowing Events. Remote sensing is a powerful tool to monitor and investigate Near-Real-Time and seasonally PG cover. Here, pros and cons of Sentinel-2 (S2) and Sentinel-1 (S1) time series exploitation for Mowing Events (MowEve) detection are analysed. A deep-based approach is proposed to obtain consistent and homogeneous biophysical parameter times series for MowEve detection. Recurrent Neural Networks are proposed as regression strategy allowing the synergistic integration of optical and Synthetic Aperture Radar data to reconstruct dense NDVI times series. Experimental results corroborates the interest of deriving consistent and homogeneous series of biophysical parameters for subsequent MowEve detection. Numéro de notice : C2019-028 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Autre URL associée : vers HAL Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/Multi-Temp.2019.8866914 Date de publication en ligne : 29/11/2019 En ligne : https://doi.org/10.1109/Multi-Temp.2019.8866914 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94538 Climate variability and climate change impacts on land surface, hydrological processes and water management / Yongqiang Zhang (2019)
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Titre : Climate variability and climate change impacts on land surface, hydrological processes and water management Type de document : Monographie Auteurs : Yongqiang Zhang, Éditeur scientifique ; Hongxia Li, Éditeur scientifique ; Paolo Reggiani, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 460 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-3-03921-508-9 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] changement climatique
[Termes IGN] Chine
[Termes IGN] données GRACE
[Termes IGN] dynamique de la végétation
[Termes IGN] gestion de l'eau
[Termes IGN] gestion durable
[Termes IGN] hydrologie
[Termes IGN] image Landsat
[Termes IGN] inondation
[Termes IGN] modèle de régression
[Termes IGN] modèle hydrographique
[Termes IGN] occupation du sol
[Termes IGN] sécheresse
[Termes IGN] utilisation du solRésumé : (éditeur) During the last several decades, Earth´s climate has undergone significant changes due to anthropogenic global warming, and feedbacks to the water cycle. Therefore, persistent efforts are required to improve our understanding of hydrological processes and to engage in efficient water management strategies that explicitly consider changing environmental conditions. The twenty-four contributions in this book have broadly addressed topics across four major research areas: (1) Climate and land-use change impacts on hydrological processes, (2) hydrological trends and causality analysis faced in hydrology, (3) hydrological model simulations and predictions, and (4) reviews on water prices and climate extremes. The broad spectrum of international contributions to the Special Issue indicates that climate change impacts on water resources analysis attracts global attention. We hope that the collection of articles presented here can provide scientists, policymakers and stakeholders alike with insights that support sustainable decision-making in the face of climate change and increasingly scarce environmental resources. Note de contenu : 1- Climate variability and climate change Impacts on Land Surface, Hydrological Processes and Water Management
2- Human-Induced Alterations to Land Use and Climate and Their Responses for Hydrology and Water Management in the Mekong River Basin
3- Quantifying the impacts of climate change, coal mining and soil and water conservation on streamflow in a Coal mining concentrated watershed on the Loess Plateau, China
4- A statistical–distributed model of average annual runoff for water resources assessment in DPR Korea
5- Climate change and intense irrigation growth in Western Bahia, Brazil: The urgent need for hydroclimatic monitoring
6- Influence of power operations of cascade hydropower stations under climate change and human activities and revised optimal operation strategies: A case study in the Upper Han River, China
7- Comparative study of two state-of-the-art semi-distributed hydrological models
8- The use of large-scale climate indices in monthly reservoir inflow forecasting and its application on time series and artificial intelligence models
9- Land use and climate change effects on surface runoff variations in the upper Heihe
River Basin
10- Meteorological factors affecting pan evaporation in the Haihe River Basin, China
11- Effects of the three gorges project on runoff and related benefits of the key regions along main branches of the Yangtze River
12- Analysis of the recent trends of two climate parameters over two eco-regions of Ethiopia
13- Evaluating future flood scenarios using CMIP5 climate projections
14- Analyzing the impacts of climate variability and land surface changes on the annual
water–energy balance in the Weihe River Basin of China
15- Quantifying the impact of climate change and human activities on streamflow in a semi-arid watershed with the Budyko Equation incorporating dynamic vegetation information
16- Spatiotemporal variation of snowfall to precipitation ratio and its implication on water resources by a regional climate model over Xinjiang, China
17- Observed trends of climate and river discharge in Mongolia’s Selenga Sub-Basin of the Lake Baikal basin
18- Multiple linear regression models for predicting nonpoint-source pollutant discharge from a highland agricultural region
19- Analysis of natural streamflow variation and its influential factors on the Yellow River from 1957 to 2010
20- The effects of litter layer and topsoil on surface runoff during simulated rainfall in Guizhou Province, China: A plot scale case study
21- Integrating field experiments with modeling to evaluate the freshwater availability at ungauged sites: A case study of Pingtan Island (China)
22- Assessing the influence of the three gorges dam on hydrological drought using GRACE data
23- Explaining water pricing through a water security lens
24- Compound extremes in hydroclimatology: A reviewNuméro de notice : 28538 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Monographie DOI : 10.3390/books978-3-03921-508-9 En ligne : https://doi.org/10.3390/books978-3-03921-508-9 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97368 Construction of bulk temperature/salinity from surface temperature and atlas profiles for monitoring water volume variations in the Caspian Sea / Ayoub Moradi (2019)
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Titre : Construction of bulk temperature/salinity from surface temperature and atlas profiles for monitoring water volume variations in the Caspian Sea Type de document : Article/Communication Auteurs : Ayoub Moradi, Auteur ; Olivier de Viron, Auteur ; Laurent Métivier , Auteur ; Saeid Homayouni, Auteur
Editeur : Téhéran : Kharazmi University Année de publication : 2019 Conférence : CICIS 2019, 4th Conference on Contemporary Issues in Computer Information and Sciences 23/01/2019 25/01/2019 Teheran Iran Proceedings IEEE Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse de sensibilité
[Termes IGN] Caspienne, mer
[Termes IGN] image NOAA
[Termes IGN] montée du niveau de la mer
[Termes IGN] salinité
[Termes IGN] température de surface de la merRésumé : (auteur) Unlike the other lakes, the Caspian Sea has regular water level fluctuations caused by variation in temperature and salinity, which is known as thermohaline fluctuations. Vertically variable temperature and salinity data are needed in order to monitor thermohaline fluctuations. These data are regularly recorded for the open seas by remote sensing and in-situ approaches. However, there is no such information for inland water bodies, such as the Caspian Sea. In this research, daily Sea Surface Temperature (SST) from the NOAA satellite, plus long-term mean temperature, and salinity datasets from Atlas 2009 were utilized to construct bulk temperature and salinity in the Caspian Sea. The Atlas vertical profiles are not deep enough in the Caspian Sea; we expanded these data down to a thermocline depth, using a linear fitting. Constructed bulk temperature and salinity data utilized in water density calculations. The results show that thermohaline level fluctuation estimated by constructed bulk data is consisted of what a combination of altimetry and gravimetry system observed in the Caspian Sea. In the absence of necessary data, this method is helpful for bulk temperature and salinity estimations in the Caspian Sea with a satisfactory level of accuracy. The estimated thermohaline has an accuracy of about 93%, under the situation that there was 15% error in the estimation of both bulk temperature and salinity. Numéro de notice : C2019-080 Affiliation des auteurs : UMR IPGP-Géod+Ext (2020- ) Thématique : IMAGERIE Nature : Communication DOI : sans En ligne : https://www.researchgate.net/publication/368243402_Construction_of_Bulk_Temperat [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102859 PermalinkPermalinkEvaluating the capability of the Sentinel 2 data for soil organic carbon prediction in croplands / Fabio Castaldi in ISPRS Journal of photogrammetry and remote sensing, vol 147 (January 2019)
PermalinkEvaluation of time-series SAR and optical images for the study of winter land-use / Julien Denize (2019)
PermalinkPermalinkPermalinkPermalinkPermalinkGlobal observations of ocean surface winds and waves using spaceborne synthetic aperture radar measurements / Huimin Li (2019)
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