Descripteur
Documents disponibles dans cette catégorie (6101)


Etendre la recherche sur niveau(x) vers le bas
Linking structure and species richness to support forest biodiversity monitoring at large scales / Félix Storch in Annals of Forest Science, vol 80 n° 1 (2023)
![]()
[article]
Titre : Linking structure and species richness to support forest biodiversity monitoring at large scales Type de document : Article/Communication Auteurs : Félix Storch, Auteur ; Steffen Boch, Auteur ; Martin M. Gossner, Auteur ; et al., Auteur Année de publication : 2023 Article en page(s) : n° 3 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Allemagne
[Termes IGN] biodiversité végétale
[Termes IGN] botanique systématique
[Termes IGN] écosystème forestier
[Termes IGN] gestion forestière durable
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] peuplement mélangé
[Termes IGN] protection de la biodiversité
[Termes IGN] structure d'un peuplement forestier
[Termes IGN] surveillance de la végétation
[Vedettes matières IGN] Ecologie forestièreRésumé : (auteur) Key message: Authors have analyzed the possible correlation between measurements/indicators of forest structure and species richness of many taxonomic or functional groups over three regions of Germany. Results show the potential to use structural attributes as a surrogate for species richness of most of the analyzed taxonomic and functional groups. This information can be transferred to large-scale forest inventories to support biodiversity monitoring.
Context: We are currently facing a dramatic loss in biodiversity worldwide and this initiated many monitoring programs aiming at documenting further trends. However, monitoring species diversity directly is very resource demanding, in particular in highly diverse forest ecosystems.
Aims: We investigated whether variables applied in an index of stand structural diversity, which was developed based on forest attributes assessed in the German National Forest Inventory, can be calibrated against richness of forest-dwelling species within a wide range of taxonomic and functional groups.
Methods: We used information on forest structure and species richness that has been comprehensively assessed on 150 forest plots of the German biodiversity exploratories project, comprising a large range of management intensities in three regions. We tested, whether the forest structure index calculated for these forest plots well correlate with the number of species across 29 taxonomic and functional groups, assuming that the structural attributes applied in the index represent their habitat requirements.
Results: The strength of correlations between the structural variables applied in the index and number of species within taxonomic or functional groups was highly variable. For some groups such as Aves, Formicidae or vascular plants, structural variables had a high explanatory power for species richness across forest types. Species richness in other taxonomic and functional groups (e.g., soil and root-associated fungi) was not explained by individual structural attributes of the index. Results indicate that some taxonomic and functional groups depend on a high structural diversity, whereas others seem to be insensitive to it or even prefer structurally poor stands.
Conclusion: Therefore, combinations of forest stands with different degrees of structural diversity most likely optimize taxonomic diversity at the landscape level. Our results can support biodiversity monitoring through quantification of forest structure in large-scale forest inventories. Changes in structural variables over inventory periods can indicate changes in habitat quality for individual taxonomic groups and thus points towards national forest inventories being an effective tool to detect unintended effects of changes in forest management on biodiversity.Numéro de notice : A2023-144 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1186/s13595-022-01169-1 Date de publication en ligne : 19/01/2023 En ligne : https://doi.org/10.1186/s13595-022-01169-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102720
in Annals of Forest Science > vol 80 n° 1 (2023) . - n° 3[article]Forests attenuate temperature and air pollution discomfort in montane tourist areas / Elena Gottardini in Forests, vol 14 n° 3 (March 2023)
![]()
[article]
Titre : Forests attenuate temperature and air pollution discomfort in montane tourist areas Type de document : Article/Communication Auteurs : Elena Gottardini, Auteur ; Fabiana Cristofolini, Auteur ; et al., Auteur Année de publication : 2023 Article en page(s) : n° 545 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] bien-être collectif
[Termes IGN] forêt alpestre
[Termes IGN] Italie
[Termes IGN] pollution atmosphérique
[Termes IGN] qualité de l'air
[Termes IGN] service écosystémique
[Termes IGN] température de l'air
[Termes IGN] tourisme
[Vedettes matières IGN] Ecologie forestièreRésumé : (auteur) Forests deliver many ecosystem services, from provisioning to regulating and cultural services. We aimed at demonstrating microclimatic regulation and pollutant removal as especially relevant ecosystem services when considering the tourism vocation of the Alpine regions. A study was realized along an altitudinal gradient (900–1600 m a.s.l.) in Trentino, northern Italy, an area with high touristic presence (ca. 9.3 million overnight stays in summer 2021). Nitrogen dioxide (NO2, µg m−3), ozone (O3, µg m−3) concentrations, air temperature (T, °C), and relative humidity (RH, %) were simultaneously measured in three open-field sites (OF) and below-canopy Norway spruce forest stands (FO) during the period 23 May–7 August 2013. The temperature–humidity index (THI) was calculated. We found a distinct mitigating effect of forest on T, with lower maximum (−30.6%) and higher minimum values (+6.3%) in FO than in OF. THI supported a higher comfort sensation in FO than in OF, especially in the central part of the day. NO2 concentrations did not differ between OF and FO; ozone concentrations were lower in FO than OF. This study confirms the role of forests in providing several ecosystem services beneficial for forest users, especially relevant for promoting nature-based tourism in the Alpine region. Numéro de notice : A2023-168 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.3390/f14030545 Date de publication en ligne : 10/03/2023 En ligne : https://doi.org/10.3390/f14030545 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102905
in Forests > vol 14 n° 3 (March 2023) . - n° 545[article]Mapping population distribution from open address data: application to mainland Portugal / Nelson Mileu in Journal of maps, vol 18 n° 3 (March 2023)
![]()
[article]
Titre : Mapping population distribution from open address data: application to mainland Portugal Type de document : Article/Communication Auteurs : Nelson Mileu, Auteur ; Margarida Queirós, Auteur ; Paolo Morgado, Auteur Année de publication : 2023 Article en page(s) : pp 585 - 593 Note générale : bilbliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] base de données d'adresses
[Termes IGN] carte thématique
[Termes IGN] distribution spatiale
[Termes IGN] grille
[Termes IGN] planification urbaine
[Termes IGN] population
[Termes IGN] Portugal
[Termes IGN] QGISRésumé : (auteur) Mapping population distribution remains a common need in various fields of studies. Several approaches and methodologies have been adopted to obtain high-resolution population distribution grids. The use of addresses data to obtain gridded population distribution maps emerges as one of the more recent and accurate approaches. The increasing dissemination and availability of geo-data and more specifically address data allow us to obtain updated, granular and high spatial resolution population distribution maps. This paper describes a bottom-up open addresses data mapping-based approach of gridded population distribution with a fine spatial resolution. Through a QGIS plugin, an adaptation of the housing unit methodology was implemented to obtain 500 m × 500 and 250 m × 250 m population grids for mainland Portugal. The results showed that the use of reliable addresses databases can generate gridded population distribution maps with a high degree of adjustment to reality. Numéro de notice : A2023-154 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/17445647.2022.2114862 Date de publication en ligne : 07/09/2022 En ligne : https://doi.org/10.1080/17445647.2022.2114862 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102839
in Journal of maps > vol 18 n° 3 (March 2023) . - pp 585 - 593[article]Multi-sensor airborne lidar requires intercalibration for consistent estimation of light attenuation and plant area density / Grégoire Vincent in Remote sensing of environment, vol 286 (March 2023)
![]()
[article]
Titre : Multi-sensor airborne lidar requires intercalibration for consistent estimation of light attenuation and plant area density Type de document : Article/Communication Auteurs : Grégoire Vincent, Auteur ; Philippe Verley, Auteur ; Benjamin Brede, Auteur ; et al., Auteur Année de publication : 2023 Article en page(s) : n° 113442 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] canopée
[Termes IGN] densité de la végétation
[Termes IGN] données lidar
[Termes IGN] forêt tropicale
[Termes IGN] Guyane (département français)
[Termes IGN] image captée par drone
[Termes IGN] plan de vol
[Termes IGN] rayonnement lumineux
[Termes IGN] réflectance végétale
[Termes IGN] semis de points
[Termes IGN] zone d'intérêtRésumé : (auteur) Leaf area is a key structural characteristic of forest canopies because of the role of leaves in controlling many biological and physical processes occurring at the biosphere-atmosphere transition. High pulse density Airborne Laser Scanning (ALS) holds promise to provide spatially resolved and accurate estimates of plant area density (PAD) in forested landscapes, a key step in understanding forest functioning: phenology, carbon uptake, transpiration, radiative balance etc. Inconsistencies between different ALS sensors is a barrier to generating globally harmonised PAD estimates. The basic assumption on which PAD estimation is based is that light attenuation is proportional to vegetation area density. This study shows that the recorded extinction strongly depends on target detectability which is influenced by laser characteristics (power, sensitivity, wavelength). Three different airborne laser scanners were flown over a wet tropical forest at the Paracou research station in French Guiana. Different sensors, flight heights and transmitted power levels were compared. Light attenuation was retrieved with an open source ray-tracing code (http://amapvox.org). Direct comparison revealed marked differences (up-to 25% difference in profile-averaged light attenuation rate and 50% difference at particular heights) that could only be explained by differences in scanner characteristics. We show how bias which may occur under various acquisition conditions can generally be mitigated by a sensor intercalibration. Alignment of light weight lidar attenuation profiles to ALS reference attenuation profiles is not always satisfactory and we discuss what are the likely sources of discrepancies. Neglecting the dependency of apparent light attenuation on scanner properties may lead to biases in estimated vegetation density commensurate to those affecting light attenuation estimates. Applying intercalibration procedures supports estimation of plant area density independent of acquisition characteristics. Numéro de notice : A2023-169 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1016/j.rse.2022.113442 Date de publication en ligne : 06/01/2023 En ligne : https://doi.org/10.1016/j.rse.2022.113442 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102928
in Remote sensing of environment > vol 286 (March 2023) . - n° 113442[article]Programme LiDAR HD : vers une nouvelle cartographie 3D du territoire / Terry Moreau in XYZ, n° 174 (mars 2023)
[article]
Titre : Programme LiDAR HD : vers une nouvelle cartographie 3D du territoire Type de document : Article/Communication Auteurs : Terry Moreau, Auteur ; Hélène Buissart, Auteur ; Arnaud Allgeyer, Auteur ; Sofiane Kriat , Auteur ; Pierre-Yves Decavele, Auteur ; Romuald Dore, Auteur ; Gabrielle Roy, Auteur
Année de publication : 2023 Article en page(s) : pp 45 - 49 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] acquisition de données
[Termes IGN] cartographie 3D
[Termes IGN] diffusion de données
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] France métropolitaine
[Termes IGN] QGIS
[Termes IGN] semis de points
[Termes IGN] système d'information géographique
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) Le programme LiDAR HD est d’une ampleur inédite et porte un objectif ambitieux : acquérir des données LiDAR haute densité (HD) sur l’ensemble du territoire métropolitain et ultramarin (hors Guyane) pour en proposer la description 3D la plus fine jamais établie à l’échelle France entière. L’IGN coordonne ce programme et s’emploie à soutenir tous les usages de ce géocommun en devenir. Numéro de notice : A2023-171 Affiliation des auteurs : IGN (2020- ) Thématique : GEOMATIQUE/IMAGERIE Nature : Article nature-HAL : ArtSansCL DOI : sans Date de publication en ligne : 01/03/2023 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102856
in XYZ > n° 174 (mars 2023) . - pp 45 - 49[article]Réservation
Réserver ce documentExemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 112-2023011 SL Revue Centre de documentation Revues en salle Disponible Residents’ Experiential Knowledge and Its Importance for Decision-Making Processes in Spatial Planning: A PPGIS Based Study / Edyta Bąkowska-Waldmann in ISPRS International journal of geo-information, vol 12 n° 3 (March 2023)
PermalinkSpecies distribution modelling under climate change scenarios for maritime pine (Pinus pinaster Aiton) in Portugal / Cristina Alegria in Forests, vol 14 n° 3 (March 2023)
PermalinkThe potential of combining satellite and airborne remote sensing data for habitat classification and monitoring in forest landscapes / Anna Iglseder in International journal of applied Earth observation and geoinformation, vol 117 (March 2023)
PermalinkA GIS-based method for modeling methane emissions from paddy fields by fusing multiple sources of data / Linhua Ma in Science of the total environment, vol 859 n° 1 (February 2023)
PermalinkAnalysing urban growth using machine learning and open data: An artificial neural network modelled case study of five Greek cities / Pavlos Tsagkis in Sustainable Cities and Society, vol 89 (February 2023)
PermalinkCan mixed forests sequester more CO2 than pure forests in future climate scenarios? A case study of Pinus sylvestris combinations in Spain / Diego Rodríguez de Prado in European Journal of Forest Research, vol 142 n° 1 (February 2023)
PermalinkEvaluation of growth models for mixed forests used in Swedish and Finnish decision support systems / Jorge Aldea in Forest ecology and management, vol 529 (February-1 2023)
PermalinkForest structure and fine root biomass influence soil CO2 efflux in temperate forests under drought / Antonios Apostolakis in Forests, vol 14 n° 2 (February 2023)
PermalinkLong-term changes in 3D urban form in four Spanish cities / Dario Domingo in Landscape and Urban Planning, vol 230 (February 2023)
PermalinkNonparametric upscaling of bark beetle infestations and management from plot to landscape level by combining individual-based with Markov chain models / Bruno Walter Pietzsch in European Journal of Forest Research, vol 142 n° 1 (February 2023)
Permalink