[Identification of the potential distribution area of Cunninghamia lanceolata in China under climate change based on the MaxEnt model]. / åºäºMaxEnt模åé¢æµæ°åååä¸ææ¨å¨ä¸å½çæ½å¨å°çåå¸.
Ying Yong Sheng Tai Xue Bao
; 33(5): 1207-1214, 2022 May.
Article
em Zh
| MEDLINE
| ID: mdl-35730078
ABSTRACT
Based on the distribution records of Cunninghamia lanceolata, 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 C. lanceolata under current and future climate scenarios. The results showed that annual precipitation was the most important factor driving the distribution of C. lanceolata. Under the current climate scenario, the total area of suitable for C. lanceolata growth was about 3.28 million km2, 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 C. lanceolata would increase, showing a clear trend of northward expansion in China. A concentrated and contiguous distribution region highly suitable for C. lanceolata 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.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Mudança Climática
/
Cunninghamia
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
País/Região como assunto:
Asia
Idioma:
Zh
Revista:
Ying Yong Sheng Tai Xue Bao
Assunto da revista:
SAUDE AMBIENTAL
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
China