Monitoring hybrid poplar plantations using continuous canopy photography: influence of clone and water status

Authors

  • Francesco Chianucci CREA - Research Centre for Forestry and Wood
  • Sara Bergante CREA - Research Centre for Forestry and Wood
  • Pier Mario Chiarabaglio CREA - Research Centre for Forestry and Wood
  • Marco Bascietto CREA - Research Centre for Engineering and Agro-Food Processing

DOI:

https://doi.org/10.12899/asr-2679

Keywords:

Precision forestry, proximal sensing, trail camera, tree phenology

Abstract

Hybrid poplar plantations are essential for bioenergy, pulp and paper industries, and contribute to carbon sequestration and environmental restoration. Effective plantation management, including monitoring of canopy structure, is crucial to maximize productivity, but traditional inventory methods often lack the spatial and temporal resolution needed for precision forestry application.

In this study, we evaluated the use of continuous canopy photography for continuous monitoring of poplar plantations. Daily canopy attributes like foliage cover and leaf area index were derived from time-lapse trail cameras. Three poplar clones (Soligo, I-214, and Neva), having differing growth rates and drought tolerances, were tested under different water (irrigated vs non-irrigated) regimes. We demonstrated that continuous canopy attributes allow to quantify significant variations in canopy cover, associated with both clone type and water status. Non-irrigated trials exhibited early senescence and canopy decline, while irrigated clones showed more robust canopy development. We concluded that continuous cameras offer a low-cost, effective solution for improving hybrid poplar plantation management by timely tracking the ability to respond to varying environmental conditions and optimizing resource use.

References

Bajocco S., Ferrara C., Savian F., Ginaldi F., Puletti N., Crecco L., Bregaglio S., Chianucci F. 2024 - LAIr: an R package to estimate LAI from Normalized Difference Vegetation Index. SoftwareX, 27: 101776.

Beck P.S.A., Atzberger C., Høgda K.A., Johansen B., Skidmore A.K. 2006 - Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI. Remote sensing of Environment 100 (3): 321-334.

Bergante S. 2022 - Poplar tree for innovative plantation models. Annals of Silvicultural Research 47: 48-52. http://dx.doi.org/10.12899/asr-2344

Brown L.A., Ogutu B.O., Dash J. 2020 - Tracking forest biophysical properties with automated digital repeat photography: A fisheye perspective using digital hemispherical photography from below the canopy. Agricultural and Forest Meteorology 287: 107944.

Cantamessa S., Rosso L., Giorcelli A., Chiarabaglio P.M. 2022 - The environmental impact of poplar stand management: a life cycle assessment study of different scenarios. Forests 13: 1423. https://doi.org/10.3390/f13091423

Chianucci F. 2015 - A note on estimating canopy cover from digital cover and hemispherical photography. Silva Fennica 50 (1): 1518. https://doi.org/10.14214/sf.1518

Chianucci F. 2020 - An overview of in situ digital canopy photography in forestry. Canadian Journal of Forest Research 50 (3) 227-242.

Chianucci F., Bajocco S., Ferrara C. 2021 - Continuous observations of forest canopy structure using low-cost digital camera traps. Agricultural and Forest Meteorology 307: 108516.

Chianucci F., Puletti N., Grotti M., Ferrara C., Giorcelli A., Coaloa D., Tattoni C. 2020 - Nondestructive tree stem and crown volume allometry in hybrid poplar plantations derived from terrestrial laser scanning. Forest Science 66 (6): 737-746.

Chianucci F., Ferrara C., Puletti N. 2022 - coveR: an R package for processing digital cover photography images to retrieve forest canopy attributes. Trees 36 (6): 1933-1942.

Chianucci F., Lenzi, A., Minari E., Guasti M., Gisondi S., Gonnelli M., Innocenti S., Ferrara C., Campanaro A., Ciampelli P., Cutini A. 2025 - CrowNet: a trail-camera canopy monitoring system. Agricultural and Forest Meteorology 372: 110596.

Elmore A.J., Guinn S.M., Minsley B.J., Richardson A.D. 2012 - Landscape controls on the timing of spring autumn and growing season length in mid‐Atlantic forests. Global Change Biology 18 (2): 656-674.

European Panel Federation 2021 - European poplar and poplar plywood industry: a multi-tool to tackle the climate change and to contribute to the achievement of the objectives of the European Green Deal.

Fardusi M.J., Chianucci F., Barbati A. 2017 - Concept to practice of geospatial-information tools to assist forest management and planning under precision forestry framework: A review. Annals of Silvicultural Research 41: 3-14.

Liu J., Li D., Fernández J.E. 2022 - Variations in water-balance components and carbon stocks in poplar plantations with differing water inputs over a whole rotation: implications for sustainable forest management under climate change. Agricultural and Forest Meteorology 320: 108958. https://doi.org/10.1016/j.agrformet.2022.10895.

Majasalmi T., Rautiainen M., Stenberg P. 2014 - Modeled and measured fPAR in a boreal forest: Validation and application of a new model.Agricultural and Forest Meteorology 189: 118-124.

McCarthy A., Raine S. 2022 - Automated variety trial plot growth and flowering detection for maize and soybean using machine vision. Computers and Electronics in Agriculture 194: 106727.

Nilson T., Kuusk A. 2004 - Improved algorithm for estimating canopy indices from gap fraction data in forest canopies. Agricultural and Forest Meteorology 124 (3-4): 157-169.

Orság M., Berhongaray G., Fischer M., Klem K., Ceulemans R., King J. S., Trnka M. 2024 - Elevated CO concentration alleviates the negative effect of vapour pressure deficit and soil drought on juvenile poplar growth. Central European Forestry Journal 70 (2): 51-61.

Otsu N. 1979 - A threshold selection method from gray-level histograms. IEEE Transaction on System, Man and Cybernetics 9: 62–66.

R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing Vienna Austria 2024. [Online]. Available: https://www.R-project.org [2025, March 6].

Putra B.T.W., Soni P., Marhaenanto B., Harsono S.S., Fountas S. 2020 - Using information from images for plantation monitoring: A review of solutions for smallholders. Information Processing in Agriculture 7 (1): 109-119.

Romano E., Brambilla M., Chianucci F., Tattoni C., Puletti N., Chirici G., Travaglini D., Giannetti F. 2024 - Estimating canopy and stand structure in hybrid poplar plantations from multispectral UAV imagery. Annals of Forest Research 67 (1): 143-154.

Rosso L., Cantamessa S., Bergante S., Biselli C., Fricano A., Chiarabaglio P.M., Gennaro M., Nervo G., Secchi F., Carra A. 2023 - Responses to drought stress in poplar: what do we know and what can we learn? Life 13 (2): 533.

Ryu Y., Verfaillie J., Macfarlane C., Kobayashi H., Sonnentag O., Vargas R., Ma S., Baldocchi D.D. 2012 - Continuous observation of tree leaf area index at ecosystem scale using upward-pointing digital cameras. Remote Sensing of Environment 126: 116-125.

Sakamoto T., Gitelson A.A., Nguy-Robertson A.L., Arkebauer T.J., Wardlow B.D., Suyker A.E., Verma S.B., Shibayama M. 2012 - An alternative method using digital cameras for continuous monitoring of crop status. Agricultural and Forest Meteorology 154: 113-126.

Sonnentag O., Hufkens K., Teshera-Sterne C., Young A.M., Friedl M., Braswell B.H., Milliman T., O’Keefe J., Richardson A.D. 2012 - Digital repeat photography for phenological research in forest ecosystems. Agricultural and Forest Meteorology 152: 159-177.

Vaglio Laurin G., Mattioli W., Innocenti S. 2022 - Potential of ALOS2 polarimetric imagery to support management of poplar plantations in Northern Italy. Remote Sens 14: 1–14. https://doi.org/10.3390/rs14205202

Zhang Y., Tian Y., Ding S. 2020 - Growth carbon storage and optimal rotation in poplar plantations: A case study on clone and planting spacing effects. Forests 11: 1–15. https://doi.org/10.3390/F11080842

Downloads

Published

2025-11-03

How to Cite

Chianucci, F., Bergante, S., Chiarabaglio, P. M., & Bascietto, M. (2025). Monitoring hybrid poplar plantations using continuous canopy photography: influence of clone and water status . Annals of Silvicultural Research, 50(2), 52–57. https://doi.org/10.12899/asr-2679

Most read articles by the same author(s)

1 2 3 > >> 

Similar Articles

<< < 1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.