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DOI10.1016/j.rse.2020.112003
Monitoring biochemical limitations to photosynthesis in N and P-limited radiata pine using plant functional traits quantified from hyperspectral imagery
Watt M.S.; Buddenbaum H.; Leonardo E.M.C.; Estarija H.J.; Bown H.E.; Gomez-Gallego M.; Hartley R.J.L.; Pearse G.D.; Massam P.; Wright L.; Zarco-Tejada P.J.
发表日期2020
ISSN00344257
卷号248
英文摘要The prediction of carbon uptake by forests across fertility gradients requires accurate characterisation of how biochemical limitations to photosynthesis respond to variation in key elements such as nitrogen (N) and phosphorus (P). Over the last decade, proxies for chlorophyll and photosynthetic activity have been extracted from hyperspectral imagery and used to predict important photosynthetic variables such as the maximal rate of carboxylation (Vcmax) and electron transport (Jmax). However, little research has investigated the generality of these relationships within the nitrogen (N) and phosphorus (P) limiting phases, which are characterised by mass based foliage ratios of N:P ≤ 10 for N limitations and N:P > 10 for P limitations. Using measurements obtained from one year old Pinus radiata D. Don grown under a factorial range of N and P treatments this research examined relationships between photosynthetic capacity (Vcmax, Jmax) and measured N, P and chlorophyll (Chla+b). Using functional traits quantified from hyperspectral imagery we then examined the strength and generality of relationships between photosynthetic variables and Photochemical Reflectance Index (PRI), Sun-Induced Chlorophyll Fluorescence (SIF) and chlorophyll a + b derived by radiative transfer model inversion. There were significant (P <.001) and strong relationships between photosynthetic variables and both N (R2 = 0.82 for Vcmax; R2 = 0.87 for Jmax) and Chla+b (R2 = 0.85 for Vcmax; R2 = 0.86 for Jmax) within the N limiting phase that were weak (R2 < 0.02) and insignificant within the P limiting phase. Similarly, there were significant (P <.05) positive relationships between P and photosynthetic variables (R2 = 0.50 for Vcmax; R2 = 0.58 for Jmax) within the P limiting phase that were insignificant and weak (R2 < 0.33) within the N limiting phase. Predictions of photosynthetic variables using Chla+b estimated by model inversion were significant (P <.001), positive and strong (R2 = 0.64 for Vcmax; R2 = 0.63 for Jmax) within the N limiting phase but insignificant and weak (R2 < 0.05) within the P limiting phase. In contrast, both SIF and PRI exhibited moderate to strong positive correlations with photosynthetic variables within both the N and P limiting phases. These results suggest that quantified SIF and PRI from hyperspectral images may have greater generality in predicting biochemical limitations to photosynthesis than proxies for N and chlorophyll a + b, particularly under high foliage N content, when P is limiting. © 2020 Elsevier Inc.
英文关键词High resolution hyperspectral; Jmax; N:P ratio; Nutrient limitation; Physically based models; Radiative transfer; Reflectance; Vcmax
语种英语
scopus关键词Carboxylation; Chlorophyll; Electron transport properties; Forecasting; Forestry; Nitrogen; Phosphorus; Photosynthesis; Plants (botany); Radiative transfer; Remote sensing; Biochemical limitations; Chlorophyll fluorescence; Hyper-spectral imageries; Photochemical reflectance index; Photosynthetic activity; Photosynthetic capacity; Positive correlations; Radiative transfer model; Spectroscopy; biochemical composition; coniferous tree; electron; foliage; multispectral image; organic nitrogen; organic phosphorus; photosynthesis; phytochemistry; radiative transfer; Pinus radiata; Radiata
来源期刊Remote Sensing of Environment
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/179179
作者单位Scion, 10 Kyle St, Christchurch, 8011, New Zealand; Environmental Remote Sensing and Geoinformatics, Trier University, Trier, 54286, Germany; Scion, PO Box 3020, Rotorua, New Zealand; Faculty of Forestry, Universidad de Chile, Casilla 9206, Santiago, Chile; Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Box 7026, Uppsala, 750 07, Sweden; The University of Melbourne, Melbourne, Victoria 3010, Australia; Instituto de Agricultura Sostenible (IAS), Consejo Superior de Investigaciones Científicas (CSIC), Alameda del Obispo s/n, Cordoba, 14004, Spain
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Watt M.S.,Buddenbaum H.,Leonardo E.M.C.,et al. Monitoring biochemical limitations to photosynthesis in N and P-limited radiata pine using plant functional traits quantified from hyperspectral imagery[J],2020,248.
APA Watt M.S..,Buddenbaum H..,Leonardo E.M.C..,Estarija H.J..,Bown H.E..,...&Zarco-Tejada P.J..(2020).Monitoring biochemical limitations to photosynthesis in N and P-limited radiata pine using plant functional traits quantified from hyperspectral imagery.Remote Sensing of Environment,248.
MLA Watt M.S.,et al."Monitoring biochemical limitations to photosynthesis in N and P-limited radiata pine using plant functional traits quantified from hyperspectral imagery".Remote Sensing of Environment 248(2020).
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