Reconstructing Evapotranspiration in British Columbia Since 1850 Using Publicly Available Tree-Ring Plots and Climate Data. Li, H. & Rex, J. Remote Sensing, 17(5):930, January, 2025. Number: 5 Publisher: Multidisciplinary Digital Publishing Institute![Reconstructing Evapotranspiration in British Columbia Since 1850 Using Publicly Available Tree-Ring Plots and Climate Data [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Evapotranspiration (ET) rates will be affected by climate change and increasing frequency of extreme heat events. To understand how forests may respond to probable future climate conditions, it may be helpful to look at the past relationship between climate and ET. This can be accomplished using satellite imagery since the 1980s, but prior to that, a different approach is required. Using a global ET dataset (1982 to 2010) with 1 km resolution, climate station information from 1850 to 2010, and 54 tree-ring plots from the International Tree-Ring Data Bank (ITRDB) database, ET reconstructions were developed for each vegetated pixel with point-by-point regressions in British Columbia. ET was estimated for the province of British Columbia in Canada from 1850 to 1981, using random forest, support vector machine, and convolutional neural network regressions. ET satellite images from 1982 to 2010 formed our dataset to train models for each vegetated pixel. The random forest regression outperformed the other approaches with lower errors and better robustness (adjusted R2 value = 0.69; root mean square error = 10.72 mm/month). Modeled findings indicate that ET rates are generally increasing in British Columbia (ET = 0.0064 × Year + 52.339), but there were regional effects on local ET, as only the Humid Temperate ecodomain had strong correlations of ET with mean summer temperature (r = 0.257, p \textless 0.01) and mean summer precipitation (r = −0.208, p \textless 0.05). These historical estimates provide an opportunity to observe spatiotemporal variation in ET across British Columbia and elsewhere.
@article{li_reconstructing_2025,
title = {Reconstructing {Evapotranspiration} in {British} {Columbia} {Since} 1850 {Using} {Publicly} {Available} {Tree}-{Ring} {Plots} and {Climate} {Data}},
volume = {17},
copyright = {http://creativecommons.org/licenses/by/3.0/},
issn = {2072-4292},
url = {https://www.mdpi.com/2072-4292/17/5/930},
doi = {10.3390/rs17050930},
abstract = {Evapotranspiration (ET) rates will be affected by climate change and increasing frequency of extreme heat events. To understand how forests may respond to probable future climate conditions, it may be helpful to look at the past relationship between climate and ET. This can be accomplished using satellite imagery since the 1980s, but prior to that, a different approach is required. Using a global ET dataset (1982 to 2010) with 1 km resolution, climate station information from 1850 to 2010, and 54 tree-ring plots from the International Tree-Ring Data Bank (ITRDB) database, ET reconstructions were developed for each vegetated pixel with point-by-point regressions in British Columbia. ET was estimated for the province of British Columbia in Canada from 1850 to 1981, using random forest, support vector machine, and convolutional neural network regressions. ET satellite images from 1982 to 2010 formed our dataset to train models for each vegetated pixel. The random forest regression outperformed the other approaches with lower errors and better robustness (adjusted R2 value = 0.69; root mean square error = 10.72 mm/month). Modeled findings indicate that ET rates are generally increasing in British Columbia (ET = 0.0064 × Year + 52.339), but there were regional effects on local ET, as only the Humid Temperate ecodomain had strong correlations of ET with mean summer temperature (r = 0.257, p {\textless} 0.01) and mean summer precipitation (r = −0.208, p {\textless} 0.05). These historical estimates provide an opportunity to observe spatiotemporal variation in ET across British Columbia and elsewhere.},
language = {en},
number = {5},
urldate = {2025-07-31},
journal = {Remote Sensing},
author = {Li, Hang and Rex, John},
month = jan,
year = {2025},
note = {Number: 5
Publisher: Multidisciplinary Digital Publishing Institute},
keywords = {NALCMS},
pages = {930},
}
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Using a global ET dataset (1982 to 2010) with 1 km resolution, climate station information from 1850 to 2010, and 54 tree-ring plots from the International Tree-Ring Data Bank (ITRDB) database, ET reconstructions were developed for each vegetated pixel with point-by-point regressions in British Columbia. ET was estimated for the province of British Columbia in Canada from 1850 to 1981, using random forest, support vector machine, and convolutional neural network regressions. ET satellite images from 1982 to 2010 formed our dataset to train models for each vegetated pixel. The random forest regression outperformed the other approaches with lower errors and better robustness (adjusted R2 value = 0.69; root mean square error = 10.72 mm/month). Modeled findings indicate that ET rates are generally increasing in British Columbia (ET = 0.0064 × Year + 52.339), but there were regional effects on local ET, as only the Humid Temperate ecodomain had strong correlations of ET with mean summer temperature (r = 0.257, p \\textless 0.01) and mean summer precipitation (r = −0.208, p \\textless 0.05). These historical estimates provide an opportunity to observe spatiotemporal variation in ET across British Columbia and elsewhere.","language":"en","number":"5","urldate":"2025-07-31","journal":"Remote Sensing","author":[{"propositions":[],"lastnames":["Li"],"firstnames":["Hang"],"suffixes":[]},{"propositions":[],"lastnames":["Rex"],"firstnames":["John"],"suffixes":[]}],"month":"January","year":"2025","note":"Number: 5 Publisher: Multidisciplinary Digital Publishing Institute","keywords":"NALCMS","pages":"930","bibtex":"@article{li_reconstructing_2025,\n\ttitle = {Reconstructing {Evapotranspiration} in {British} {Columbia} {Since} 1850 {Using} {Publicly} {Available} {Tree}-{Ring} {Plots} and {Climate} {Data}},\n\tvolume = {17},\n\tcopyright = {http://creativecommons.org/licenses/by/3.0/},\n\tissn = {2072-4292},\n\turl = {https://www.mdpi.com/2072-4292/17/5/930},\n\tdoi = {10.3390/rs17050930},\n\tabstract = {Evapotranspiration (ET) rates will be affected by climate change and increasing frequency of extreme heat events. 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