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Authordc.contributor.authorWatt, Michael S. 
Authordc.contributor.authorBuddenbaum, Henning 
Authordc.contributor.authorLeonardo, Ellen Mae C. 
Authordc.contributor.authorEstarija, Honey Jane C. 
Authordc.contributor.authorBown, Horacio E. 
Authordc.contributor.authorGómez Gallego, Mireia 
Authordc.contributor.authorHartley, Robin 
Authordc.contributor.authorMassam, Peter 
Authordc.contributor.authorWright, Liam 
Authordc.contributor.authorZarco Tejada, Pablo J. 
Admission datedc.date.accessioned2021-05-24T23:21:12Z
Available datedc.date.available2021-05-24T23:21:12Z
Publication datedc.date.issued2020
Cita de ítemdc.identifier.citationISPRS Journal of Photogrammetry and Remote Sensing Volumen: 169 Páginas: 406-420 Nov 2020es_ES
Identifierdc.identifier.other10.1016/j.isprsjprs.2020.09.006
Identifierdc.identifier.urihttp://repositorio.uchile.cl/handle/2250/179775
Abstractdc.description.abstractSpatial prediction of photosynthesis requires an understanding of how foliage nitrogen (N) and phosphorus (P) regulate this process and the relationship between these elements and scalable spectral proxies. Hyperspectral imagery has been used to predict important photosynthetic variables such as the maximum rate of carboxylation (V-cmax) and electron transport (J(max)). However, our understanding of how generally applicable these relationships are for plants that are limited by N and P, characterised by respective mass based ratios of N/P <= 10 and N/P > 10, is still incomplete as most studies assume N and P co-limit photosynthesis. Hyperspectral imagery and measurements of photosynthesis were obtained from one-year old Pinus radiata D. Don, grown under a factorial combination of N and P treatments. Using these data, the objectives of this study were to (i) identify whether trees were co-limited or independently limited by N and P, and then use hyperspectral imagery to (ii) partition N and P limited trees, (iii) build models of N and P from a range of hyperspectral indices and (iv) explore links between key plant traits and both V-cmax and J(max). Compared to the use of all data, which assumes co-limitation, markedly stronger relationships between N and P and photosynthetic capacity were obtained through splitting data at N/P = 10 (independent limitation) for both V-cmax (R-2 = 0.40 vs. 0.59) and J(max) (R-2 = 0.38 vs. 0.64). A random forest model was used to accurately partition N from P limited trees and the two main variables used within this model were Photochemical Reflectance Index (PRI) and Solar-Induced Chlorophyll Fluorescence (SIF). Using data from the P limiting phase, the most precise models of P were created using PRI (R-2 = 0.75) and SIF (R-2 = 0.52). Indices that were proxies for chlorophyll were the most precise predictors of N within the N limiting phase but strong positive relationships were also evident between N and both PRI (R-2 = 0.83) and SIF (R-2 = 0.57). Through their correlations with N and P, there were strong positive relationships between both SIF, PRI and V-cmax (R-2 = 0.78 and 0.83, respectively) and J(max) (R-2 = 0.80 and 0.83, respectively) that were generalisable across both N and P limiting ranges. These results suggest that quantified SIF and PRI from hyperspectral images may have greater precision and generality for predicting both foliage nutrition and biochemical limitations to photosynthesis than other widely used hyperspectral indices.es_ES
Patrocinadordc.description.sponsorshipResilient Forests programme - Scion SSIF Resilient Forests programme - Forest Grower's Levy Trust National Institute for Forest Products Innovation NIF073-1819 Australian Government CGIAR South Australian State Government Tasmanian State Governmentes_ES
Lenguagedc.language.isoenes_ES
Publisherdc.publisherElsevieres_ES
Sourcedc.sourceISPRS Journal of Photogrammetry and Remote Sensinges_ES
Keywordsdc.subjectHigh resolution hyperspectrales_ES
Keywordsdc.subjectN:P ratioes_ES
Keywordsdc.subjectNitrogenes_ES
Keywordsdc.subjectNutrient limitationes_ES
Keywordsdc.subjectPhosphoruses_ES
Keywordsdc.subjectReflectancees_ES
Títulodc.titleUsing hyperspectral plant traits linked to photosynthetic efficiency to assess N and P partitiones_ES
Document typedc.typeArtículo de revistaes_ES
dcterms.accessRightsdcterms.accessRightsAcceso a solo metadatoses_ES
Catalogueruchile.catalogadorcfres_ES
Indexationuchile.indexArtículo de publicación ISIes_ES


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