The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Near‐surface remote sensing of spatial and temporal variation in canopy phenology
Abstract
There is a need to document how plant phenology is responding to global change factors, particularly warming trends. “Near‐surface” remote sensing, using radiometric instruments or imaging sensors, has great potential to improve phenological monitoring because automated observations can be made at high temporal frequency. Here we build on previous work and show how inexpensive, networked digital cameras (“webcams”) can be used to document spatial and temporal variation in the spring and autumn phenology of forest canopies. We use two years of imagery from a deciduous, northern hardwood site, and one year of imagery from a coniferous, boreal transition site. A quantitative signal is obtained by splitting images into separate red, green, and blue color channels and calculating the relative brightness of each channel for “regions of interest” within each image. We put the observed phenological signal in context by relating it to seasonal patterns of gross primary productivity, inferred from eddy covariance measurements of surface–atmosphere CO 2 exchange. We show that spring increases, and autumn decreases, in canopy greenness can be detected in both deciduous and coniferous stands. In deciduous stands, an autumn red peak is also observed. The timing and rate of spring development and autumn senescence varies across the canopy, with greater variability in autumn than spring. Interannual variation in phenology can be detected both visually and quantitatively; delayed spring onset in 2007 compared to 2006 is related to a prolonged cold spell from day 85 to day 110. This work lays the foundation for regional‐ to continental‐scale camera‐based monitoring of phenology at network observatory sites, e.g., National Ecological Observatory Network (NEON) or AmeriFlux.
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Cites
Shifting plant phenology in response to global change
CLELAND, E., CHUINE, I., MENZEL, A., MOONEY, H., & SCHWARTZ, M. (2007) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2007.04.003 · Cited by 2,335
Color Indices for Weed Identification Under Various Soil, Residue, and Lighting Conditions
Woebbecke, D. M., Meyer, G. E., Bargen, K. V., & Mortensen, D. A. (1995) · Transactions of the ASAE · doi:10.13031/2013.27838 · Cited by 1,537
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Onset of spring starting earlier across the Northern Hemisphere
SCHWARTZ, M. D., AHAS, R., & AASA, A. (2006) · Global Change Biology · doi:10.1111/j.1365-2486.2005.01097.x · Cited by 1,037
Autonomous robotic weed control systems: A review
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Changed plant and animal life cycles from 1952 to 2000 in the Mediterranean region
Peñuelas, J., Filella, I., & Comas, P. (2002) · Global Change Biology · doi:10.1046/j.1365-2486.2002.00489.x · Cited by 691
Use of digital webcam images to track spring green-up in a deciduous broadleaf forest
Richardson, A. D., Jenkins, J. P., Braswell, B. H., Hollinger, D. Y., Ollinger, S. V., & Smith, M.-L. (2007) · Oecologia · doi:10.1007/s00442-006-0657-z · Cited by 596
Self-citationMorisette, J. T., Richardson, A. D., Knapp, A. K., Fisher, J. I., Graham, E. A., Abatzoglou, J., Wilson, B. E., Breshears, D. D., Henebry, G. M., Hanes, J. M., et al. (2009) · Frontiers in Ecology and the Environment · doi:10.1890/070217 · Cited by 530
Self-citationObserved changes in seasons: an overview
Sparks, T. H., & Menzel, A. (2002) · International Journal of Climatology · doi:10.1002/joc.821 · Cited by 501
Diverse responses of phenology to global changes in a grassland ecosystem
Cleland, E. E., Chiariello, N. R., Loarie, S. R., Mooney, H. A., & Field, C. B. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0600815103 · Cited by 501
Cited by
Influence of spring and autumn phenological transitions on forest ecosystem productivity
Richardson, A. D., Andy Black, T., Ciais, P., Delbart, N., Friedl, M. A., Gobron, N., Hollinger, D. Y., Kutsch, W. L., Longdoz, B., Luyssaert, S., et al. (2010) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2010.0102 · Cited by 936
Self-citationOptical vegetation indices for monitoring terrestrial ecosystems globally
Zeng, Y., Hao, D., Huete, A., Dechant, B., Berry, J., Chen, J. M., Joiner, J., Frankenberg, C., Bond-Lamberty, B., Ryu, Y., et al. (2022) · Nature Reviews Earth & Environment · doi:10.1038/s43017-022-00298-5 · Cited by 837
Leaf‐out phenology of temperate woody plants: from trees to ecosystems
Polgar, C. A., & Primack, R. B. (2011) · New Phytologist · doi:10.1111/j.1469-8137.2011.03803.x · Cited by 553
Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests
Wu, J., Albert, L. P., Lopes, A. P., Restrepo-Coupe, N., Hayek, M., Wiedemann, K. T., Guan, K., Stark, S. C., Christoffersen, B., Prohaska, N., et al. (2016) · Science · doi:10.1126/science.aad5068 · Cited by 466
Review of optical-based remote sensing for plant trait mapping
Homolová, L., Malenovský, Z., Clevers, J. G. P. W., García-Santos, G., & Schaepman, M. E. (2013) · Ecological Complexity · doi:10.1016/j.ecocom.2013.06.003 · Cited by 437
Metadata
- Authors
- Richardson, A. D., Braswell, B. H., Hollinger, D. Y., Jenkins, J. P., & Ollinger, S. V.
- Venue
- Ecological Applications
- Publisher
- Wiley
- Published
- 2009-09
- Volume
- 19
- Issue
- 6
- Pages
- 1417-1428
- ISSN
- 1051-0761 (ISSN-L)
- 1939-5582
- OpenAlex
- W2114456168
- Cited by
- 507
- References
- 20
- FWCI
- 17.36
- Type
- journal article
- Language
- en
- Open access
- closed
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