[Study on suitable distribution areas of Sichuan safflower in Sichuan province based on 3S technologies].

Sichuan safflower (Carthamus tinctorius) is a traditional Chinese medicine for promoting blood circulation and removing blood stasis. In this paper, taking Sichuan province as an example, based on TM image, digital elevation model (DEM), meteorology, soil and other data, and using remote sensing and GIS technology to extract grassland, elevation, temperature and precipitation, soil and other influencing factors, the spatial distribution of the suitability of safflower was studied, and the field investigation was carried out. The results indicate that Sichuan safflower resources are mainly concentrated in the eastern and northeastern parts of Sichuan, and the suitable distribution area is about 6 277.14 km2. The area of suitable area of Dazhou is 1 143.45 km², which is suitable for the province area of 18.22%. From the county point of view, the suitable area of Dachuan is about 507.15 km², and accounting for 17.9% of county. In addition, Naxi, Qingshen, Jiangan and other 12 counties of the suitable area of more than 100 km², and accounted for more than 10% of the county. The results of remote sensing and GIS analysis are in accordance with the real area of Sichuan safflower resources. It is feasible to find out the area suitable for the growth of Sichuan safflower by 3S technologies. It can provide a scientific basis for the monitoring and development of Chinese herbal resources.

[Predictive distribution and planting GAP of Cyathula officinalis in China based on 3S technology and MaxEnt modelling].

Research on predictive distribution and planting GAP of Cyathula officinalis in China is helpful to provide scientific basis for its protection and planting popularization. According to the data in 63 distribution sites and 49 ecological variables, using MaxEnt ecological niche model and 3S technology, we performed a quantitative analysis of suitable distribution and planting GAP of C. officinalis in China. Our results show that: ① the area of suitable distribution of C. officinalis is about 634 385.80 km² in total, and mainly in Northeastern and Southeastern Sichuan, Northern and Southeastern Yunnan, Western and Southwestern Guizhou, Southwestern and Northeastern Chongqing, Southwestern Shaanxi, Southeastern Gansu, Western Guangxi, Southeastern Tibet. ② The main ecological factors determining the potential distribution are precipitation, altitude, minimum temperature of coldest month, soil type, monthly mean temperature. ③ The planting GAP region are mainly in Guangyuan, Mianyang, Ya'an, Leshan, Liangshan, Panzhihua of Sichuan province, Hanzhong of Shaanxi province, Dali, Nujiang, Chuxiong, Baoshan, Qujing, Wenshan of Yunnan province, southwestern autonomous prefecture in Guizhou province. The results are of great significance for realizing the growth environment, predicting the potential distribution and promoting planting popularization for C. officinalis.

[Identification of the potential distribution area of Cunninghamia lanceolata in China under climate change based on the MaxEnt model]. / 基于MaxEnt模型预测气候变化下杉木在中国的潜在地理分布.

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.