And yet it shrinks: a novel method for correcting bias in forest tree growth estimates caused by water-induced fluctuations
Accuracy in tree woody growth estimates is important to global carbon budget estimation
and climate-change science. Tree growth in permanent sampling plots (PSPs) is commonly
estimated by measuring stem diameter changes, but this method is susceptible to bias
resulting from water-induced reversible stem shrinkage. In the absence of bias correction,
temporal variability in growth is likely to be overestimated and incorrectly attributed to
fluctuations in resource availability, especially in forests with high seasonal and inter-annual …
and climate-change science. Tree growth in permanent sampling plots (PSPs) is commonly
estimated by measuring stem diameter changes, but this method is susceptible to bias
resulting from water-induced reversible stem shrinkage. In the absence of bias correction,
temporal variability in growth is likely to be overestimated and incorrectly attributed to
fluctuations in resource availability, especially in forests with high seasonal and inter-annual …
And yet it shrinks: a novel method for correcting bias in forest tree growth estimates caused by water-induced fluctuations
L Ruiz, S Pulla, HS Dattaraja, HS Suresh - Forest Ecology and …, 2015 - agris.fao.org
Accuracy in tree woody growth estimates is important to global carbon budget estimation
and climate-change science. Tree growth in permanent sampling plots (PSPs) is commonly
estimated by measuring stem diameter changes, but this method is susceptible to bias
resulting from water-induced reversible stem shrinkage. In the absence of bias correction,
temporal variability in growth is likely to be overestimated and incorrectly attributed to
fluctuations in resource availability, especially in forests with high seasonal and inter-annual …
and climate-change science. Tree growth in permanent sampling plots (PSPs) is commonly
estimated by measuring stem diameter changes, but this method is susceptible to bias
resulting from water-induced reversible stem shrinkage. In the absence of bias correction,
temporal variability in growth is likely to be overestimated and incorrectly attributed to
fluctuations in resource availability, especially in forests with high seasonal and inter-annual …
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