2021
DOI: 10.1016/j.foreco.2021.119653
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Prediction of the impact of climate change on fast-growing timber trees in China

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Cited by 14 publications
(13 citation statements)
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“…1). In 2000, external wood dependency remained at 27.9%, but by 2019 it had reached 58.8%, which means that the situation in the Chinese wood market is serious (Zhao et al 2021). In other words, although the total amount of China's planted forest resources has continued to grow, it still relies too much on imported timber, and the condition of China's forests remains disappointing in terms of changes in indicators such as timber volume, growth rate, age structure, and diversity (Chen et al 2021;Yin 2021).…”
Section: Forestry Development In the Context Of Ecological Civilizationmentioning
confidence: 99%
“…1). In 2000, external wood dependency remained at 27.9%, but by 2019 it had reached 58.8%, which means that the situation in the Chinese wood market is serious (Zhao et al 2021). In other words, although the total amount of China's planted forest resources has continued to grow, it still relies too much on imported timber, and the condition of China's forests remains disappointing in terms of changes in indicators such as timber volume, growth rate, age structure, and diversity (Chen et al 2021;Yin 2021).…”
Section: Forestry Development In the Context Of Ecological Civilizationmentioning
confidence: 99%
“…These bioclimatic variables were downloaded from WorldClim version2.1 (Fick and Hijmans, 2017), 5 the resolution is 2.5 arc-min (∼ 5 km spatial resolution at the equator). The current bioclimatic variables were derived from the monthly temperature and rainfall values of meteorological stations around the world from 1970 to 2000, which is a popular dataset used in species distribution modeling and related ecological modeling techniques (Zhao et al, 2021). The future bioclimatic variables of the 2050s (2041-2060) were simulated by Beijing Climate Center Climate System Model version 2 (BCC-CSM2-MR) for representative concentration pathway (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) (Fischer et al, 2005;Zhao et al, 2021), this model is reliable in simulating precipitation and temperature in China (Wu et al, 2019).…”
Section: Environmental Variablesmentioning
confidence: 99%
“…Despite MaxEnt having many advantages, some scholars think that a single model can produce over-fitting, and an integrated model may reduce the uncertainty of model fitting (Battini et al, 2019). The ensemble model (EM) strategy is widely used for studying the habitat distribution of species because of its higher accuracy, and better universality and fitting (Guo et al, 2019;Zhao et al, 2021). Moreover, MaxEnt is only applicable when considering abiotic factors; its applicability to areas strongly affected by human activities needs to be further verified.…”
Section: Model Accuracy and Main Environment Variablesmentioning
confidence: 99%
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“…We used the comprehensive habitat suitability (CHS) model (Zhao et al 2021b, Guo et al 2022 to predict the habitat suitability for all 42 woody species. The CHS model is an integrated model strategy that can simultaneously simulate the species' habitat shifts caused by climate change and the maximum suitable habitat range defined by the nonclimatic variables.…”
Section: Model Construction 231 Distribution Model Strategymentioning
confidence: 99%