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Auteur B.O. Oindo |
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Predicting mammal species richness and abundance using multi-temporal NDVI / B.O. Oindo in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)
[article]
Titre : Predicting mammal species richness and abundance using multi-temporal NDVI Type de document : Article/Communication Auteurs : B.O. Oindo, Auteur Année de publication : 2002 Article en page(s) : pp 623 - 629 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Advanced Very High Resolution Radiometer
[Termes IGN] biodiversité
[Termes IGN] changement climatique
[Termes IGN] indice de végétation
[Termes IGN] Kenya
[Termes IGN] Normalized Difference Vegetation IndexRésumé : (Auteur) There is need to map indicators of biodiversity such as species richness and abundance of individuals in order to predict where species loss is occurring. Species richness and abundance have been hypothesized to increase with ecosystem productivity. Moreover, productivity of ecosystems varies in space and time, and this heterogeneity is also hypothesized to influence species richness and abundance of individuals. Ecosystem productivity may be estimated using remotely sensed data, and researchers have specifically proposed the Advanced Very High Resolution Radiometer-Normalized Difference Vegetation Index (AVHRR-NDVI). Interannual average NDw and its variability (standard deviation) were correlated with large mammal species richness and abundance of individuals at a landscape scale in Kenya. The biodiversity indicators associated negatively with interannual average NDW and positively with variability of NDvi. Understanding these relationships can help in estimating changes in mammalian species richness and abundance in response to global climate change. Numéro de notice : A2002-135 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/june/2002_jun_623-629. [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22050
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 6 (June 2002) . - pp 623 - 629[article]