Development of digital photographic approaches to assess leaf traits in broadleaf tree species

被引:8
作者
Chianucci, Francesco [1 ]
Ferrara, Carlotta [1 ]
Pollastrini, Martina [2 ]
Corona, Piermaria [1 ]
机构
[1] Consiglio Ric Agr & Anal Econ Agr, Res Ctr Forestry & Wood, Viale Santa Margherita 80, Arezzo, Italy
[2] Univ Florence, Dept Agr Food Environm & Forestry, Piazzale Cascine 18, Florence, Italy
关键词
Leaf optical properties; Functional leaf traits; Leaf reflectance; Foliar morphology; Foliar physiology; AREA INDEX; ANGLE DISTRIBUTION; CANOPY; TEMPERATE; GROWTH; INCLINATION; LIGHT; PHOTOSYNTHESIS; CLASSIFICATION; INFORMATION;
D O I
10.1016/j.ecolind.2019.105547
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Plants display a large number of traits which are reflected in physiological and ecological functions (functional traits). Leaf traits are amongst the most important functional traits. However, a great challenge in measuring leaf traits in the field is that direct methods are limited by the cost of the instruments and the time and work required by direct measurements, which are often destructive. As an alternative, we developed and tested a non-destructive methodology to assess a suite of leaf traits using different digital photographic approaches, with the intimate aim to develop a rapid, robust and cheap protocol for leaf trait measurements in the field. The proposed digital photographic approaches were tested in broadleaved tree species Digital photography allowed to assess a morphological foliar trait (leaf area; LA) and physiological foliar traits (leaf reflectance in red (R), green (G) and blue (B) bands; leaf venation attributes). Leaf area derived from photography significantly agreed with that directly measured with a leaf area meter (LA(PHOTO) = 0.98 LA(AREA) (METER) + 0.84, R-2 = 0.99, p < 0.001); leaf reflectance in the R, G, B channels derived from photography significantly agreed with that directly measured with a field spectroradiometer (SPEC) (R-PHOTO = 0.77 R-SPEC + 0.05, R-2 = 0.61, p < 0.001; G(PHOTO) = 0.79 G(SPEC) + 0.06, R-2 = 0.58, p < 0.001; B-PHOTO = 0.56 B-SPEC + 0.00, R-2 = 0.51, p < 0.001). Leaf venation traits estimated from photography agreed to within +/- 20% measurements obtained in cleared leaves of the same species. Based on the obtained results, we demonstrated that digital photography can be an effective tool to obtain a fast, cheap, reliable and non-destructive assessment of morphological and physiological leaf traits in broadleaf tree species, being highly suitable for use in long-term research and monitoring programs.
引用
收藏
页数:5
相关论文
共 44 条
[1]  
Angelini A., 2015, Annals of Silvicultural Research, V39, P23
[2]   Quantifying forest canopy traits: Imaging spectroscopy versus field survey [J].
Asner, Gregory P. ;
Martin, Roberta E. ;
Anderson, Christopher B. ;
Knapp, David E. .
REMOTE SENSING OF ENVIRONMENT, 2015, 158 :15-27
[3]   Evaluating the establishment performance of six native perennial Mediterranean species for use in extensive green roofs under water-limiting conditions [J].
Azenas, V ;
Janner, I ;
Medrano, H. ;
Gulias, J. .
URBAN FORESTRY & URBAN GREENING, 2019, 41 :158-169
[4]   Use of a digital camera as alternative method for non-destructive detection of the leaf chlorophyll content and the nitrogen nutrition status in wheat [J].
Baresel, Joerg Peter ;
Rischbeck, Pablo ;
Hu, Yuncai ;
Kipp, Sebastian ;
Hu, Yuncai ;
Barmeier, Gero ;
Mistele, Bodo ;
Schmidhalter, Urs .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2017, 140 :25-33
[5]   Venation networks and the origin of the leaf economics spectrum [J].
Blonder, Benjamin ;
Violle, Cyrille ;
Bentley, Lisa Patrick ;
Enquist, Brian J. .
ECOLOGY LETTERS, 2011, 14 (02) :91-100
[6]   Evaluation of leaf features in forest trees: Methods, techniques, obtainable information and limits [J].
Bussotti, Filippo ;
Pollastrini, Martina .
ECOLOGICAL INDICATORS, 2015, 52 :219-230
[7]   A new method to estimate clumping index integrating gap fraction averaging with the analysis of gap size distribution [J].
Chianucci, Francesco ;
Zou, Jie ;
Leng, Peng ;
Zhuang, Yinguo ;
Ferrara, Carlotta .
CANADIAN JOURNAL OF FOREST RESEARCH, 2019, 49 (05) :471-479
[8]   A dataset of leaf inclination angles for temperate and boreal broadleaf woody species [J].
Chianucci, Francesco ;
Pisek, Jan ;
Raabe, Kairi ;
Marchino, Luca ;
Ferrara, Carlotta ;
Corona, Piermaria .
ANNALS OF FOREST SCIENCE, 2018, 75 (02)
[9]   Estimation of canopy attributes in beech forests using true colour digital images from a small fixed-wing UAV [J].
Chianucci, Francesco ;
Disperati, Leonardo ;
Guzzi, Donatella ;
Bianchini, Daniele ;
Nardino, Vanni ;
Lastri, Cinzia ;
Rindinella, Andrea ;
Corona, Piermaria .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2016, 47 :60-68
[10]   How vertical patterns in leaf traits shift seasonally and the implications for modeling canopy photosynthesis in a temperate deciduous forest [J].
Coble, Adam P. ;
VanderWall, Brittany ;
Mau, Alida ;
Cavaleri, Molly A. .
TREE PHYSIOLOGY, 2016, 36 (09) :1077-1091