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Termes descripteurs IGN > sciences naturelles > sciences de la vie > botanique > botanique systématique > angiosperme > Dicotylédone vraie > ericaceae > rhododendron (genre)
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Climatic niche breadth can explain variation in geographical range size of alpine and subalpine plants / Fangyuan Yu in International journal of geographical information science IJGIS, vol 31 n° 1-2 (January - February 2017)
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Titre : Climatic niche breadth can explain variation in geographical range size of alpine and subalpine plants Type de document : Article/Communication Auteurs : Fangyuan Yu, Auteur ; Thomas A. Groen, Auteur ; Tiejun Wang, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 190 - 212 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] aire de répartition
[Termes descripteurs IGN] changement climatique
[Termes descripteurs IGN] Chine
[Termes descripteurs IGN] climat de montagne
[Termes descripteurs IGN] croissance végétale
[Termes descripteurs IGN] distribution spatiale
[Termes descripteurs IGN] entropie maximale
[Termes descripteurs IGN] région
[Termes descripteurs IGN] rhododendron (genre)
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Understanding the environmental factors determining the distribution of species with different range sizes can provide valuable insights for evolutionary ecology and conservation biology in the face of expected climate change. However, little is known about what determines the variation in geographical and elevational ranges of alpine and subalpine plant species. Here, we examined the relationship between geographical and elevational range sizes for 80 endemic rhododendron species in China using Spearman’s rank-order correlation. We ran the species distribution model – maximum entropy modelling (MaxEnt) – with 27 environmental variables. The importance of each variable to the model prediction was compared for species groups with different geographical and elevational range sizes. Our results showed that the correlation between geographical and elevational range sizes of rhododendron species was not significant. Climate-related variables were found to be the most important factors in shaping the distributional ranges of alpine and subalpine plant species across China. Species with geographically and elevationally narrow ranges had distinct niche requirements. For geographical ranges, the narrow-ranged species showed less tolerance to niche conditions than the wide-ranged species. For elevational ranges, compared with the wide-ranged species, the narrow-ranged species showed an equivalent niche breadth, but occurred at different niche position along the environmental gradient. Our findings suggest that over large spatial extents the elevational range size can be a complementary trait of alpine and subalpine plant species to geographical range size. Climatic niche breadth, especially the range of seasonal variability, can explain species’ geographical range sizes. Changes in climate may influence the distribution of rhododendrons, with the effects likely being felt most by species with either a narrow geographical or narrow elevational range. Numéro de notice : A2017-031 Affiliation des auteurs : non IGN Thématique : FORET/MATHEMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1195502 En ligne : http://dx.doi.org/10.1080/13658816.2016.1195502 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84024
in International journal of geographical information science IJGIS > vol 31 n° 1-2 (January - February 2017) . - pp 190 - 212[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2017011 RAB Revue Centre de documentation En réserve 3L Disponible 079-2017012 RAB Revue Centre de documentation En réserve 3L Disponible Retrieval of leaf area index in different plant species using thermal hyperspectral data / Elnaz Neinavaz in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)
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Titre : Retrieval of leaf area index in different plant species using thermal hyperspectral data Type de document : Article/Communication Auteurs : Elnaz Neinavaz, Auteur ; Andrew K. Skidmore, Auteur ; Roshanak Darvishzadeh, Auteur ; Thomas A. Groen, Auteur Année de publication : 2016 Article en page(s) : pp 390 - 401 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes descripteurs IGN] buxus sempervirens
[Termes descripteurs IGN] classification par réseau neuronal
[Termes descripteurs IGN] espèce végétale
[Termes descripteurs IGN] Euonymus japonicus
[Termes descripteurs IGN] image hyperspectrale
[Termes descripteurs IGN] indice foliaire
[Termes descripteurs IGN] Leaf Area Index
[Termes descripteurs IGN] méthode des moindres carrés
[Termes descripteurs IGN] photo-interprétation
[Termes descripteurs IGN] rayonnement infrarouge thermique
[Termes descripteurs IGN] régression
[Termes descripteurs IGN] rhododendron (genre)Résumé : (Auteur) Leaf area index (LAI) is an important variable of terrestrial ecosystems because it is strongly correlated with many ecosystem processes (e.g., water balance and evapotranspiration) and directly related to the plant energy balance and gas exchanges. Although LAI has been accurately predicted using visible and short-wave infrared hyperspectral data (0.3–2.5 μm), LAI estimation using thermal infrared (TIR, 8–14 μm) measurements has not yet been addressed. The novel approach of this study is to evaluate the retrieval of LAI using TIR hyperspectral data. The leaf area indices were destructively acquired for four plant species: Azalea japonica, Buxus sempervirens, Euonymus japonicus, and Ficus benjamina. Canopy emissivity spectral measurements were obtained under controlled laboratory conditions using a MIDAC (M4401-F) spectrometer. The LAI retrieval was assessed using a partial least squares regression (PLSR), artificial neural networks (ANNs), and narrow band indices calculated from all possible combinations of waveband pairs for three vegetation indices including simple difference, simple ratio, and normalized difference. ANNs retrieved LAI more accurately than PLSR and vegetation indices (0.67 Numéro de notice : A2016-789 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2016.07.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82505
in ISPRS Journal of photogrammetry and remote sensing > vol 119 (September 2016) . - pp 390 - 401[article]