Estimation of photosynthesis traits from leaf reflectance spectra: Correlation to nitrogen content as the dominant mechanism

被引:86
|
作者
Dechant, Benjamin [1 ,2 ]
Cuntz, Matthias [1 ,5 ]
Vohland, Michael [4 ]
Schulz, Elke [3 ]
Doktor, Daniel [2 ]
机构
[1] UFZ, Helmholtz Ctr Environm Res, Dept Computat Hydrosyst, Permoser Str 15, D-04318 Leipzig, Germany
[2] UFZ, Helmholtz Ctr Environm Res, Dept Computat Landscape Ecol, Permoser Str 15, D-04318 Leipzig, Germany
[3] UFZ, Helmholtz Ctr Environm Res, Dept Soil Ecol, Theodor Lieser Str 4, D-06120 Halle, Germany
[4] Univ Leipzig, Dept Geog, Geoinformat & Remote Sensing, Johannisallee 19a, D-04103 Leipzig, Germany
[5] Univ Lorraine, INRA, Ecol & Ecophysiol Forestieres UMR1137, F-54280 Champenoux, France
关键词
V-cmax; J(max); Nitrogen; Photosynthesis; Leaf reflectance; PLS; Hyperspectral; OPTICAL-PROPERTIES; CHLOROPHYLL FLUORESCENCE; TERRESTRIAL BIOSPHERE; WATER-CONTENT; CARBON; MODEL; LIGHT; CO2; PARAMETERS; PLASTICITY;
D O I
10.1016/j.rse.2017.05.019
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Numerous studies have investigated reflectance-based estimations of physico-chemical leaf traits such as the contents of light absorbing pigments, leaf mass per area, or carbon and nitrogen contents. Only few studies, however, attempted to estimate leaf traits that are more directly linked to photosynthesis. We tested the feasibility of estimating two important photosynthesis traits, the maximum carboxylation capacity (V-cmax, 25) and the maximum electron transport rate (J(max), 25), from in-situ leaf reflectance spectra using approaches that are applicable also on larger spatial scales. We conducted measurements of reflectance, CO2 response curves, leaf mass per area (LMA), and nitrogen content per area (Na) for 37 temperate deciduous tree species and a total of 242 leaves from widely differing light environments. Partial least squares (PLS) regression was used to estimate V-cmax, 25, J(max), 25, LMA, and Na from reflectance spectra. The results showed that both V-cmax, 25 and J(max), 25 can be estimated from leaf reflectance measurements with good accuracy (R-2= 0.64 for V-cmax, 25, R-2= 0.70 for J(max), 25) even for a large number of tree species and varying light environments. Detailed analysis of reflectance-based PLS and linear regression models with regard to prediction performances and regression coefficients led to the conclusion that the correlation to Na was the dominating mechanism on which the V-cmax, 25 and J(max), 25 PLS models were based. The PLS regression coefficients of Na, V-cmax, 25 and J(max), 25 showed clear signatures of nitrogen-related absorption features. The finding that V-cmax, 25 and J(max), 25 estimations from leaf reflectance are predominantly based on their relationships to Na has important implications for large scale estimations of these photosynthesis parameters. We suggest that future studies should focus more on large scale estimation of Na from remote sensing and estimate V-cmax,V- 25 and J(max), 25 in a separate step using their respective relationships to Na. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:279 / 292
页数:14
相关论文
共 50 条
  • [21] Optimal nitrogen content and photosynthesis in cauliflower (Brassica oleracea L. botrytis).: Scaling up from a leaf to the whole plant
    Alt, C
    Stützel, H
    Kage, H
    ANNALS OF BOTANY, 2000, 85 (06) : 779 - 787
  • [22] Improved estimation of leaf chlorophyll content of row crops from canopy reflectance spectra through minimizing canopy structural effects and optimizing off-noon observation time
    Li, Dong
    Chen, Jing M.
    Zhang, Xiao
    Yan, Yan
    Zhu, Jie
    Zheng, Hengbiao
    Zhou, Kai
    Yao, Xia
    Tian, Yongchao
    Zhu, Yan
    Cheng, Tao
    Cao, Weixing
    REMOTE SENSING OF ENVIRONMENT, 2020, 248 (248)
  • [23] Retrieving nitrogen isotopic signatures from fresh leaf reflectance spectra: disentangling δ15N from biochemical and structural leaf properties
    Hellmann, Christine
    Grosse-Stoltenberg, Andre
    Laustroeer, Verena
    Oldeland, Jens
    Werner, Christiane
    FRONTIERS IN PLANT SCIENCE, 2015, 6
  • [24] Retrieval of Chlorophyll Content in Maize From Leaf Reflectance Spectra Using Wavelet Analysis
    Lv, Jie
    Yan, Zhenguo
    INTERNATIONAL SYMPOSIUM ON OPTOELECTRONIC TECHNOLOGY AND APPLICATION 2014: IMAGING SPECTROSCOPY; AND TELESCOPES AND LARGE OPTICS, 2014, 9298
  • [25] Moisture content estimation of Pinus radiata and Eucalyptus globulus from reconstructed leaf reflectance in the SWIR region
    Arevalo-Ramirez, Tito
    Villacres, Juan
    Fuentes, Andres
    Reszka, Pedro
    Auat Cheein, Fernando A.
    BIOSYSTEMS ENGINEERING, 2020, 193 : 187 - 205
  • [26] Estimating leaf nitrogen content by coupling a nitrogen allocation model with canopy reflectance
    Li, Dong
    Chen, Jing M.
    Zhu, Yan
    Zheng, Hengbiao
    Yao, Xia
    Yan, Yan
    Cao, Weixing
    Cheng, Tao
    REMOTE SENSING OF ENVIRONMENT, 2022, 283
  • [27] Enhancing leaf photosynthesis from altered chlorophyll content requires optimal partitioning of nitrogen
    Zhou, Zhenxiang
    Struik, Paul C.
    Gu, Junfei
    van der Putten, Peter E. L.
    Wang, Zhiqin
    Yin, Xinyou
    Yang, Jianchang
    CROP AND ENVIRONMENT, 2023, 2 (01): : 24 - 36
  • [28] Machine Learning Techniques for Predicting Crop Photosynthetic Capacity from Leaf Reflectance Spectra
    Heckmann, David
    Schlueter, Urte
    Weber, Andreas P. M.
    MOLECULAR PLANT, 2017, 10 (06) : 878 - 890
  • [29] Non-destructive estimation of chlorophyll and nitrogen content in leaf of Rosa damascena (Mill)
    Pal, Probir Kumar
    Singh, Rakesh Devsharan
    Prasad, Ramdeen
    SOIL SCIENCE AND PLANT NUTRITION, 2012, 58 (05) : 604 - 610
  • [30] Assessment of unified models for estimating leaf chlorophyll content across directional-hemispherical reflectance and bidirectional reflectance spectra
    Li, Dong
    Tian, Long
    Wan, Zefu
    Jia, Min
    Yao, Xia
    Tian, Yongchao
    Zhu, Yan
    Cao, Weixing
    Cheng, Tao
    REMOTE SENSING OF ENVIRONMENT, 2019, 231