2019
DOI: 10.1016/j.foreco.2018.10.066
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A new tree-ring sampling method to estimate forest productivity and its temporal variation accurately in natural forests

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Cited by 23 publications
(12 citation statements)
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“…Tree growth indicators from tree rings are good proxies for forest productivity in humid forests (Xu et al, 2019), and our findings suggest that the presence of a shallow water table and groundwater use by sandy humid forests substantially increases forest productivity. In areas of shallow groundwater (DTG < 2.5 m), we observed consistently higher tree growth in P. resinosa trees than trees in areas of deeper groundwater (DTG > 3 m) for the past 88 years (Figure 5).…”
Section: Discussionsupporting
confidence: 59%
“…Tree growth indicators from tree rings are good proxies for forest productivity in humid forests (Xu et al, 2019), and our findings suggest that the presence of a shallow water table and groundwater use by sandy humid forests substantially increases forest productivity. In areas of shallow groundwater (DTG < 2.5 m), we observed consistently higher tree growth in P. resinosa trees than trees in areas of deeper groundwater (DTG > 3 m) for the past 88 years (Figure 5).…”
Section: Discussionsupporting
confidence: 59%
“…However, satellites or aerial scanning data can only assess biomass dynamics of the last decades and the current changes in anthropogenic pressure might have slightly biased the obtained results. Currently, only some studies have investigated centennial trends in aboveground biomass as a result of changing environmental conditions based on direct field observations (Clark et al 2001;Babst et al 2014;Grafius and Malanson 2015;Moiseev et al 2016;Liu et al 2016;Xu et al 2019) and analyzing tree-ring data (Graumlich et al 1989;Dye et al 2016), making it difficult to quantify current trends in the carbon sequestration and productivity of terrestrial ecosystems.…”
Section: Introductionmentioning
confidence: 99%
“…In contrast to the studies assuming reduced white spruce growth under warmer and drier climate, Sullivan et al (2017) reported only limited evidence for such a negative growth trend. While they applied state of the art data "detrending" ["signal-free methodology, " (Melvin andBriffa, 2008, 2014)], uncertainties still remain because of potentially huge sample biases (Duchesne et al, 2019), which even the best data processing cannot yet quantify: Even when selecting a representative sample of trees in a population at one point in time (Nehrbass-Ahles et al, 2014;Xu et al, 2019), growth trends could still be biased. This is because fast growing trees typically die at a younger age.…”
Section: Controversies Around Growth Trendsmentioning
confidence: 99%
“…In dendrochronology, the effect of biases caused by the tree-selection method within a site have been explored by Nehrbass-Ahles et al (2014), who argued that either all trees or a random selection of trees should be sampled. Xu et al (2019) explored in more detail how many trees of which size class have to be selected to minimize sampling effort and still derive a representative sample set. However, even when coring all trees in a forest stand, the sample will not necessarily be representative in the decades prior to sampling the cores.…”
Section: How Representative Is the Sample?mentioning
confidence: 99%