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Auteur Madeline J. Nogaard |
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Towards linking aboveground vegetation properties and soil microbial communities using remote sensing / Yuki Hamada in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 4 (April 2014)
[article]
Titre : Towards linking aboveground vegetation properties and soil microbial communities using remote sensing Type de document : Article/Communication Auteurs : Yuki Hamada, Auteur ; Jack A. Gilbert, Auteur ; Peter Larsen, Auteur ; Madeline J. Nogaard, Auteur Année de publication : 2014 Article en page(s) : pp 311 - 321 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] biogéographie
[Termes IGN] biologie
[Termes IGN] biotope
[Termes IGN] écosystème
[Termes IGN] micro-organisme
[Termes IGN] qualité du sol
[Termes IGN] sous-sol
[Termes IGN] surface du sol
[Termes IGN] télédétection spatialeRésumé : (Auteur) Despite their vital role in terrestrial ecosystem function, the distributions and dynamics of soil microbial communities (SMCs) are poorly understood. Vegetation and soil properties are the primary factors that influence SMCs. This paper discusses the potential effectiveness of remote sensing science and technologies for mapping SMC biogeography by characterizing surface biophysical properties (e.g., plant traits and community composition) strongly correlated with SMCs. Using remotely sensed biophysical properties to predict SMC distributions is extremely challenging because of the intricate interactions between biotic and abiotic factors and between above- and below-ground ecosystems. However, the integration of biophysical and soil remote sensing with geospatial information about the environment holds great promise for mapping SMC biogeography. Additional research needs involve microbial taxonomic definition, soil environmental complexity, and scaling strategies. The collaborative effort of experts from diverse disciplines is essential to linking terrestrial surface biosphere observations with subsurface microbial community distributions using remote sensing. Numéro de notice : A2014-209 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.4.311 En ligne : https://doi.org/10.14358/PERS.80.4.311 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33112
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 4 (April 2014) . - pp 311 - 321[article]