2022
DOI: 10.3390/cli10080114
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Identifying Western North American Tree Populations Vulnerable to Drought under Observed and Projected Climate Change

Abstract: Global climate change has affected forest health and productivity. A highly visible, direct climate impact is dieback caused by drought periods in moisture-limited forest ecosystems. Here, we have used a climate moisture index (CMI), which has been developed in order to map forest–grassland transitions, to investigate the shifts of the zero-CMI isopleths, in order to infer drought vulnerabilities. Our main objective was to identify populations of the 24 most common western North American forest tree species th… Show more

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Cited by 3 publications
(4 citation statements)
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“…Areas with strong positive loadings indicated high overall stability whereas areas with strong negative loadings indicated low stability. PCA was conducted using the rasterPCA function in the RStoolbox package v0.3.1.9999 (Leutner et al, 2023) in R.…”
Section: Statistical Analyzesmentioning
confidence: 99%
“…Areas with strong positive loadings indicated high overall stability whereas areas with strong negative loadings indicated low stability. PCA was conducted using the rasterPCA function in the RStoolbox package v0.3.1.9999 (Leutner et al, 2023) in R.…”
Section: Statistical Analyzesmentioning
confidence: 99%
“…In this study, we consider WNA region, which is a vulnerable region due to its sensitivity to environmental pressures and low-to-moderate adaptability to climate change [1]. As shown in Fig.…”
Section: Focus Areamentioning
confidence: 99%
“…Temperature reconstructions based on tree-ring data [28] indicate that spring temperatures in WNA during the previous 50 years have been greater than any comparable time during the last 900 years [29,30]. indices from the archive produced by the Expert Team on Climate Change Detection and Indices (ETCCDI) [1] and made available by the "Canadian Centre for Climate Modeling and Analysis" are then employed for the purpose of obtaining the annual extremes of the regular CMIP5 results. This information is collected and downloaded using the KNMI Climate Explorer; and (iii) Observational datasets: We employ reference temperature data from the European Centre for Medium-Range Weather Forecasts' global reanalyses, ERA5 [14], and reference precipitation data from the Global Precipitation Climatology Project (GPCP), version 2.3 [32], to evaluate the selected representative GCMs.…”
Section: Focus Areamentioning
confidence: 99%
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