Centre de documentation
scientifique

Landscape controls over major nutrients and primary productivity of Arctic lakes / P. Pathak in Cartography and Geographic Information Science, vol 39 n° 4 (October 2012)  

Public [article]  inCartography and Geographic Information Science > vol 39 n° 4 (October 2012) . - pp 187 - 198 Titre : Landscape controls over major nutrients and primary productivity of Arctic lakes Type de document : Article/Communication Auteurs : P. Pathak, Auteur ; R. Stine, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 187 - 198 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Alaska (Etats-Unis) [Termes IGN] Arctique [Termes IGN] azote [Termes IGN] bassin hydrographique [Termes IGN] chlorophylle [Termes IGN] image radar [Termes IGN] image SPOT [Termes IGN] interaction spatiale [Termes IGN] lac [Termes IGN] macrophyte [Termes IGN] marais [Termes IGN] occupation du sol [Termes IGN] phosphore [Termes IGN] plante ripicole [Termes IGN] production primaire brute [Termes IGN] surveillance [Termes IGN] zone tampon Résumé : (Auteur) Increasing surface temperatures in the Arctic are affecting the dynamics between lakes and their landscapes. In this paper, we use landscape metrics for land cover and statistical analysis to explore the interactions between such measures as shape and patch density indices for land cover and lake primary productivity. The objective was to identify metrics that could be used to predict lake primary productivity, as measured by chlorophyll a, total nitrogen and total phosphorus estimates. Land cover and landscape metrics for the Toolik region of Alaska were derived using satellite imagery and Fragstats software. The metrics, treated as independent variables in a stepwise regression, were derived for two levels of land cover. The first comprised the entire watershed studied; the second was derived using buffers created around water channels within each watershed. A statistically significant model for each dependent variable was obtained. Results suggest that, of the metrics tested; those related to broad leaf vegetation complexes were most useful in predicting lake primary productivity. The Landscape Shape Index for riparian patches and the Patch Density for heath complex were the two most important metrics for predicting variation in chlorophyll a (p Numéro de notice : A2012-574 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1559/15230406394187 En ligne : https://doi.org/10.1559/15230406394187 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32020 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2012041	RAB	Revue	Centre de documentation	En réserve L003	Disponible