[Identification of the potential distribution area of Cunninghamia lanceolata in China under climate change based on the MaxEnt model].

Ying yong sheng tai xue bao = The journal of applied ecology(2022)

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摘要
Based on the distribution records of we used the maximum Entropy (MaxEnt) model and geographic information system (GIS) methods, combined with environmental factors such as climate and terrain, to predict the potential distribution areas suitable for under current and future climate scenarios. The results showed that annual precipitation was the most important factor driving the distribution of . Under the current climate scenario, the total area of suitable for growth was about 3.28 million km, accounting for about 34.5% of the total land area of China. Among all the suitable areas, the lowly, intermediately, and highly suitable areas accounted for 18.3%, 29.7% and 52.0% of the total, respectively. Under future climate scenarios, the suitable area of would increase, showing a clear trend of northward expansion in China. A concentrated and contiguous distribution region highly suitable for would appear in the humid subtropical areas of southern China. The model was tested by the receiver operating characteristic curve (ROC). The average area under the curve of ROC of the training set was 0.91, showing high reliability.
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,MaxEnt model,climate scenario,potential geographical distribution
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