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Completeness of citizen science biodiversity data from a volunteered geographic information perspective / Clemens Jacobs in Geo-spatial Information Science, vol 20 n° 1 (March 2017)
[article]
Titre : Completeness of citizen science biodiversity data from a volunteered geographic information perspective Type de document : Article/Communication Auteurs : Clemens Jacobs, Auteur ; Alexander Zipf, Auteur Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] Aves
[Termes IGN] données écologiques
[Termes IGN] données localisées des bénévoles
[Termes IGN] Etats-Unis
[Termes IGN] exhaustivité des données
[Termes IGN] OpenStreetMap
[Termes IGN] parc naturel national
[Termes IGN] qualité des donnéesRésumé : (auteur) Observations of living organisms by citizen scientists that are reported to online portals are a valuable source of information. They are also a special kind of volunteered geographic information (VGI). VGI data have issues of completeness, which arise from biases caused by the opportunistic nature of the data collection process. We examined the completeness of bird species represented in citizen science observation data from eBird and iNaturalist in US National Parks (NPs). We used approaches for completeness estimation which were developed for data from OpenStreetMap, a crowdsourced map of the world. First, we used an extrinsic approach, comparing species lists from citizen science data with National Park Service lists. Second, we examined two intrinsic approaches using total observation numbers in NPs and the development of the number of new species being added to the data-set over time. Results from the extrinsic approach provided appropriate completeness estimations to evaluate the intrinsic approaches. We found that total observation numbers are a good estimator of species completeness of citizen science data from US NPs. There is also a close relationship between species completeness and the ratio of new species added to observation data vs. observation numbers in a given year. Numéro de notice : A2017-186 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/10095020.2017.1288424 En ligne : http://dx.doi.org/10.1080/10095020.2017.1288424 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84771
in Geo-spatial Information Science > vol 20 n° 1 (March 2017)[article]Birds and plants: Comparing biodiversity indicators in eight lowland agricultural mosaic landscapes in Hungary / Gergő Gábor Nagy in Ecological indicators, vol 73 (February 2017)
[article]
Titre : Birds and plants: Comparing biodiversity indicators in eight lowland agricultural mosaic landscapes in Hungary Type de document : Article/Communication Auteurs : Gergő Gábor Nagy, Auteur ; Marta Ladányi, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 566 - 573 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Aves
[Termes IGN] biodiversité
[Termes IGN] dynamique de la végétation
[Termes IGN] habitat (nature)
[Termes IGN] Hongrie
[Termes IGN] indicateur de biodiversité
[Vedettes matières IGN] Ecologie forestièreRésumé : (auteur) This study compares biodiversity indicators based on plant and bird communities in eight mosaic landscapes in Hungary, dominated by a mixture of agro-ecosystems and grasslands. The eight landscapes were selected to represent the diversity of the mixed agricultural landscapes of South-East Europe, where a mosaic pattern of intensively managed farmlands and high nature value semi natural grasslands is still relatively prevalent. Bird communities were described using several assemblage-level (species number, total abundance, and Shannon diversity of the assemblage, based on 15 pre-selected key farmland bird species), as well as species-level (presence/absence of the 15 bird species) indicators, which were checked against a synthetic landscape quality indicator describing the degradation of the local plant communities with respect to an ideal baseline (vegetation-based natural capital index, NCI). The authors were interested if and how the assemblage- and species-level bird indicators can describe landscape quality in South-East European agricultural mosaic landscapes.
It was found that assemblage-level bird indicators were poorly associated to the landscape quality measured in terms of NCI: only total abundance correlated significantly with NCI. On the other hand, species-level indicators were much more successful in predicting landscape quality. Six (Alauda arvensis, Emberiza calandra, Falco tinnunculus, Motacilla flava, Limosa limosa, Vanellus vanellus) of the 15 farmland bird species studied showed significant positive correlation with NCI, while three species (Emberiza citrinella, Galerida cristata, Sylvia communis) exhibited negative correlations. We also found that it was possible to draw conclusions about the landscape quality in an agricultural landscape based on the bird communities better, than to predict the bird assemblages from vegetation condition.
The negative correlations for species that indicate good quality habitats in Western Europe, underline the context specificity of biodiversity indicators: whereas the conditions preferred by these species can be considered relatively natural in Western Europe, they correspond to relatively degraded habitats in South-East Europe. The nine farmland bird species which showed a significant connection to NCI can be seen as potential candidates for a regional Farmland Bird Index customized for agricultural landscapes in South-East Europe, in the Pannonian biogeographic region, or in Hungary.Numéro de notice : A2017-001 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.ecolind.2016.09.053 En ligne : http://dx.doi.org/10.1016/j.ecolind.2016.09.053 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82481
in Ecological indicators > vol 73 (February 2017) . - pp 566 - 573[article]Faucon noir : retour d'expérience sur une étude de la biodiversité par drone / Laurent Beaudoin in Revue Française de Photogrammétrie et de Télédétection, n° 213 - 214 (janvier - avril 2017)
[article]
Titre : Faucon noir : retour d'expérience sur une étude de la biodiversité par drone Type de document : Article/Communication Auteurs : Laurent Beaudoin, Auteur ; Antoine Gademer, Auteur ; Loïca Avanthey, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 11 - 18 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] Aves
[Termes IGN] biodiversité
[Termes IGN] cartographie dynamique
[Termes IGN] données localisées 3D
[Termes IGN] drone
[Termes IGN] image aérienne
[Termes IGN] semis de points
[Termes IGN] télédétection aérienneRésumé : (auteur) L'étude de la biodiversité des écosystèmes et de leur dynamique est un enjeu majeur de notre siècle de transition climatique. Pour cela, il est nécessaire de réaliser un suivi précis de l'évolution des populations, basé sur une cartographie régulière et à haute résolution pour recueillir des informations à l'échelle des individus étudiés. Dans cet article, on s'intéresse au potentiel de la télédétection basse altitude utilisant un prototype de micro-drone avec une charge cartographique dédiée développés au laboratoire. Les retours d'expérience sur un site d'étude classé en zone Natura 2000 montrent un potentiel très utile pour les gestionnaires de la réserve, tant du point de vue de l'exploitation des données brutes que des nuages de points 3D générés à partir de celles-ci. Numéro de notice : A2017-045 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article DOI : 10.52638/rfpt.2017.189 Date de publication en ligne : 26/04/2017 En ligne : https://doi.org/10.52638/rfpt.2017.189 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84223
in Revue Française de Photogrammétrie et de Télédétection > n° 213 - 214 (janvier - avril 2017) . - pp 11 - 18[article]Incorporating movement in species distribution models: how do simulations of dispersal affect the accuracy and uncertainty of projections? / Paul Holloway in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)
[article]
Titre : Incorporating movement in species distribution models: how do simulations of dispersal affect the accuracy and uncertainty of projections? Type de document : Article/Communication Auteurs : Paul Holloway, Auteur ; Jennifer A. Miller, Auteur ; Simon Gillings, Auteur Année de publication : 2016 Article en page(s) : pp 2050 - 2074 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] Aves
[Termes IGN] changement climatique
[Termes IGN] distribution spatiale
[Termes IGN] Grande-Bretagne
[Termes IGN] habitat d'espèce
[Termes IGN] incertitude des données
[Termes IGN] modèle de dispersion
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Species distribution models (SDMs) are one of the most important GIScience research areas in biogeography and are the primary means by which the potential effects of climate change on species’ distributions and ranges are investigated. Dispersal is an important ecological process for species responding to changing climates, however, SDMs and their subsequent spatial products rarely reflect accessibility to any future suitable environment. Dispersal-related movement can be confounded by factors that vary across landscapes and climates, as well as within and among species, and it has therefore remained difficult to parametrise in SDMs. Here we compared 20 models that have previously been used (or have the potential to be used) to represent dispersal processes in SDM to predict future range shifts in response to climate change. We assessed the different dispersal models in terms of their accuracy at predicting future distributions, as well as the uncertainty associated with their predictions. Atlas data for 50 bird species from 1988 to 1991 in Great Britain were treated as base distributions (t1), with the species–environment relationships extrapolated (using three commonly used statistical methods) to 2008–2011 (t2). Dispersal (in the form of the 20 different models) was simulated from the base distribution (t1) to 2008–2011 (t2). The results were then combined and used to identify locations that were both abiotically suitable (obtained from the statistical methods) and accessible (obtained from the dispersal models). The accuracy of these coupled projections was assessed with the 2008–2011 atlas data (the observed t2 distribution). There was substantial variation in the accuracy of the different dispersal models, and in general, the more restrictive dispersal models (e.g. fixed rate dispersal) resulted in lower accuracy for the metrics which reward correct prediction of presences. Ensemble models of the dispersal methods (generated by combining multiple projection outcomes) were created for each species, and a new Ensemble Agreement Index (EAI), which ranges from 0 (no agreement among models) to 1 (full agreement among models) was developed to quantify uncertainty among the projections. EAI values ranged from 0.634 (some areas of disagreement and therefore medium uncertainty among dispersal models) to 0.999 (large areas of agreement and low uncertainty among dispersal models). The results of this research highlight the importance of incorporating dispersal and also illustrate that the method with which dispersal is simulated greatly impacts the projected future distribution. This has important implications for studies aimed at predicting the effects of changing environmental conditions on species’ distributions. Numéro de notice : A2016-575 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1158823 En ligne : http://dx.doi.org/10.1080/13658816.2016.1158823 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81732
in International journal of geographical information science IJGIS > vol 30 n° 9-10 (September - October 2016) . - pp 2050 - 2074[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2016051 RAB Revue Centre de documentation En réserve L003 Disponible Unsupervised classification of airborne laser scanning data to locate potential wildlife habitats for forest management planning / Jari Vauhkonen in Forestry, an international journal of forest research, vol 89 n° 4 (August 2016)
[article]
Titre : Unsupervised classification of airborne laser scanning data to locate potential wildlife habitats for forest management planning Type de document : Article/Communication Auteurs : Jari Vauhkonen, Auteur ; Joni Imponen, Auteur Année de publication : 2016 Article en page(s) : pp 350 - 363 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Aves
[Termes IGN] biodiversité végétale
[Termes IGN] classification non dirigée
[Termes IGN] couvert forestier
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] exploration de données géographiques
[Termes IGN] gestion de la vie sauvage
[Termes IGN] gestion forestière durable
[Termes IGN] habitat d'espèce
[Termes IGN] hauteur des arbres
[Termes IGN] inventaire forestier étranger (données)
[Vedettes matières IGN] Ecologie forestièreRésumé : (auteur) To account for ecological objectives in forest management planning, potential habitats need to be mapped, characterized and evaluated for utility in alternative management practices. Airborne laser scanning (ALS) is increasingly used to derive predictive maps of habitat quality. Unlike ecologically driven approaches that require spatially and temporally co-located training data of the specific species, we tested whether indicative information on the habitat potential could be obtained by means of an unsupervised classification of ALS data. Based on a literature review, altogether five ALS features quantifying vegetation height, cover and diversity were expected to capture the essential variation in the habitat requirements of western capercaillie (Tetrao urogallus L.) and hazel grouse (Tetrastes bonasia L.), which are the most important game birds occurring in the studied area. The features were extracted from sparse density, leaf-off ALS data at a resolution of 256 m2 and partitioned using an unsupervised k-means algorithm. By analysing the persistence of the cluster ensemble formed by the partitioning, altogether 158 plots in 16 structural classes were assigned for field measurements to determine which real-world forest phenomena affected the clustering. The clustering was found to stratify the area mainly in terms of size-related attributes such as timber volume and basal area. The understorey, shrub and herb layers had less correspondence with the clustering, indicating that an unsupervised classification is not directly suitable for habitat mapping. The result was improved using empirical threshold values for the ALS features determined according to the plots labelled as the most potential habitats in the field measurements. This semi-supervised classification of the data indicated 4 per cent of the total forest area as suitable for the specific species, which appears a reasonable estimate of the core area of the habitats considered. Overall, the partitioning formed aggregated, stand-like spatial patterns, even though the neighbourhoods of the individual 256 m2 cells were not considered at all. The result could be further refined by spatial optimization to produce indicative maps for forest management planning with ALS as the sole data source. Numéro de notice : A2016--155 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1093/forestry/cpw011 En ligne : https://doi.org/10.1093/forestry/cpw011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85780
in Forestry, an international journal of forest research > vol 89 n° 4 (August 2016) . - pp 350 - 363[article]Wildlife management using aiborne Lidar / Joan Hagar in GIM international [en ligne], vol 30 n° 7 (July 2016)PermalinkMovement analysis of free-grazing domestic ducks in Poyang Lake, China: a disease connection / Dian J. Prosser in International journal of geographical information science IJGIS, vol 30 n° 5-6 (May - June 2016)PermalinkWide-area mapping of small-scale features in agricultural landscapes using airborne remote sensing / Jerome O’Connell in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)PermalinkAnalyzing animal movement characteristics from location data / Dipto Sarkar in Transactions in GIS, vol 19 n° 4 (August 2015)Permalink1 cm par pixel ? Du jamais vu ! / Anonyme in Géomatique expert, n° 102 (janvier - février 2015)PermalinkStacked space-time densities: a geovisualisation approach to explore dynamics of space use over time / Urška Demšar in Geoinformatica, vol 19 n° 1 (January - March 2015)PermalinkUtilisation de QGis comme outil nomade de saisie (2ème partie [bis]: exemples) : CyberTracker, le tester c'est l'adopter / Louise Pereira in Géomatique expert, n° 102 (janvier - février 2015)PermalinkObserver et rendre compte / Françoise de Blomac in DécryptaGéo le mag, n° 158 (01/06/2014)PermalinkLes approches intégratives en tant qu‘opportunités de conservation de la biodiversité forestière / Daniel Kraus (2013)PermalinkCorbières orientales : cartographie des habitats d'espèces de la directive oiseaux à partir de données de téléldétection / Vincent Parmain in Rendez-vous techniques, n° 32 (printemps 2011)Permalink