气候变化背景下白皮松在中国潜在适宜分布预测

doi:10.13866/j.azr.2024.10.10

Abstract

Abstract:

This study was conducted to predict the distribution of potential suitable area and the impact of climate change and to determine the appropriate distribution range in the future, which could provide a reference for the protection of Pinus bungeana and its utilization in ecological engineering construction. Based on 83 wild distribution sites of P. bungeana and climate factor data, the MaxEnt model and ArcGIS software were used to simulate the potential suitable zone distribution of P. bungeana under the present and three climate change scenarios (SSP126, SSP370, and SSP585) (2080-2100, low-level, medium-level, and high greenhouse gas emission scenarios). In the MaxEnt model simulation, the AUC (area value under the subject operating characteristic curve) was >0.973, and the prediction results were highly accurate. Under the present climate conditions, the potential suitable areas of P. bungeana were primarily distributed in Shaanxi Province, southern Shanxi Province, southeastern Gansu Province, northwestern Henan Province, and northwestern Hubei Province, with a total area of approximately 74.5×10⁴ km², under the background of future climate change. The core suitable distribution areas were reduced to different degrees, with temperature being the primary limiting factor for the distribution of the potential growth zones of P. bungeana. Under low and medium greenhouse gas emission scenarios, temperature still remained the limiting factor for the distribution of the potential growth zones of P. bungeana. Under the high greenhouse gas emission scenario, the global temperature increased faster, and rainfall was the major limiting factor affecting the distribution of the suitable area of P. bungeana. The centroid of the suitable area of P. bungeana shifted eastward, especially being more sensitive under the high emission concentration of greenhouse gases, and the migration distance was farther. This study proposes the protection of P. bungeana, and the results provide a reference for ecological engineering construction using P. bungeana.

Key words: maximum entropy (MaxEnt) model, Pinus bungeana, climate change, potential distribution area, China

FAN Yuke, REN Ju, WANG Runlong, ZHOU Dongdong, PAN Zikai, ZHANG Xiaowei, ZHOU Xiaolei. Prediction of potential suitable distribution area of Pinus bungeana in China under the background of climate change[J].Arid Zone Research, 2024, 41(10): 1719-1730.

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数据图层编号	数据说明	数据图层编号	数据说明
Bio01	年平均温度/℃	Bio11	最冷季度的平均温度/℃
Bio02	每月温差的平均值/℃	Bio12	年降水量/mm
Bio03	等温性/%	Bio13	最湿月的降水量/mm
Bio04	温度季节性差异/%	Bio14	最干月的降水量/mm
Bio05	最热月的最高温度/℃	Bio15	季节性降水量变异系数
Bio06	最冷月的最低温度/℃	Bio16	最湿季度的降水量/mm
Bio07	温度年较差/℃	Bio17	最干季度的降水量/mm
Bio08	最湿季度的平均温度/℃	Bio18	最热季度的降水量/mm
Bio09	最干季度的平均温度/℃	Bio19	最冷季度的降水量/mm
Bio10	最热季度的平均温度/℃

代码	当前	2080—2100年
代码	当前	SSP126	SSP370	SSP585
Bio06	21.1%	24.5%	24.1%	18.9%
Bio03	16.4%	9.6%	10.5%	19.8%
Bio16	15.4%	7.7%	6.3%	0.1%
Bio19	11.6%	15.1%	13.7%	10.5%
Bio04	9.2%	14.3%	14.6%	12.5%
Bio12	2%	13.8%	14.9%	21.4%

适生区	当前面积 /10⁴ km²	2080—2100年SSP126		2080—2100年SSP370		2080—2100年SSP585
适生区	当前面积 /10⁴ km²	面积/10⁴ km²	面积变化比例/%	面积/10⁴ km²	面积变化比例/%	面积/10⁴ km²	面积变化比例/%
高适生区	23.23	19.38	-16.57	20.60	-11.32	20.48	-11.84
中适生区	22.40	22.37	-0.13	19.99	-10.75	22.46	0. 27
低适生区	28.95	29.15	0.69	30.17	4.21	31.97	10.43
总计	74.58	70.90	-4.93	70.76	-5.12	74.91	0.44

Prediction of potential suitable distribution area of Pinus bungeana in China under the background of climate change

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