热带地理 ›› 2020, Vol. 40 ›› Issue (5): 868-880.doi: 10.13284/j.cnki.rddl.003267
收稿日期:
2020-01-05
修回日期:
2020-05-09
出版日期:
2020-09-28
发布日期:
2020-10-10
通讯作者:
刘光旭
E-mail:gwangxj@163.com;lg760411@126.com
作者简介:
王小军(1994—),男,江西赣州人,硕士研究生,主要从事环境演变与资源生态等研究,(E-mail)基金资助:
Xiaojun Wang1,2(), Guangxu Liu2(
), Tong Xiao2,3
Received:
2020-01-05
Revised:
2020-05-09
Online:
2020-09-28
Published:
2020-10-10
Contact:
Guangxu Liu
E-mail:gwangxj@163.com;lg760411@126.com
摘要:
基于气候情景数据与油茶标本,运用MaxEnt模型分析全新世中期、当代与未来阶段油茶生长的气候适宜性特征,将概率分布结果由不适宜到最适宜分为4个等级,分析了各时段空间分布变化与最适宜区北界变化、几何中心变化及位移情况。结果如下:1)MaxEnt模型的AUC值为0.848,评估结果达到“好”的标准,说明该模型可用;年降水量、最湿季降水量、最暖季平均温、温度季节性变化的标准差、最干月降水量、最湿季平均温和最冷季平均温等是7个主要环境因子。2)中国油茶主要适宜生长于长江以南、云贵高原以东,经纬度范围为30°N以南、107°E以东地区;适宜及以上等级占研究区面积的34.9%~61%;适宜性变化,空间上西南地区波动明显,面积上稳定和降低类占比较高。3)油茶最适宜区北界位于亚热带中部,不同年代、不同地区北界各异,长江中下游地区变化较小,而秦岭、渝、贵和桂等地变动较大,整体趋势为全新世中期至1980s向南推移,未来情景下2050s和2070s缓慢向北推移;几何中心在全新世中期时位于湖南郴州,至1980s时向东南方位移至广东韶关,至2050s时向东北位移至江西吉安,并相对稳定。4)基于气候情景数据和MaxEnt物种分布模型分析中国南方地区油茶气候适宜性时空分布与变化特征结果可靠。
中图分类号:
王小军, 刘光旭, 肖彤. 气候变化情景下油茶生长的适宜性特征[J]. 热带地理, 2020, 40(5): 868-880.
Xiaojun Wang, Guangxu Liu, Tong Xiao. Suitability Characteristics of Camellia oleifera Growth under Climate Change Scenarios[J]. Tropical Geography, 2020, 40(5): 868-880.
表2
油茶生长气候适宜性分区面积与比例"
时段 | 最适宜 | 适宜 | 次适宜 | 不适宜 | ||||
---|---|---|---|---|---|---|---|---|
面积/km2 | 比例/% | 面积/km2 | 比例/% | 面积/km2 | 比例/% | 面积/km2 | 比例/% | |
全新世中期(MH) | 919 922.7 | 32.6 | 682 840.9 | 24.2 | 446 037.4 | 15.8 | 775 374.7 | 27.5 |
1980s | 473 923.8 | 16.8 | 511 005.9 | 18.1 | 624 661.9 | 22.1 | 1 214 584.1 | 43.0 |
2050s4.5 | 860 288.4 | 30.5 | 847 188.5 | 30.0 | 798 984.4 | 28.3 | 3 177 14.4 | 11.2 |
2050s8.5 | 787 447.1 | 27.9 | 832 911.4 | 29.5 | 891 860.7 | 31.6 | 311 956.5 | 11.0 |
2070s4.5 | 913 522.6 | 32.3 | 810 307.7 | 28.7 | 817 671.0 | 29.0 | 282 674.4 | 10.0 |
2070s8.5 | 709 126.2 | 25.1 | 908 278.4 | 32.2 | 950 874.3 | 33.7 | 255 896.8 | 9.1 |
表3
油茶生长气候适宜性变化面积与比例"
时段 | 升高 | 稳定 | 降低 | |||
---|---|---|---|---|---|---|
面积/km2 | 比例/% | 面积/km2 | 比例/% | 面积/km2 | 比例/% | |
全新世中期(MH)—1980s | 234 325.5 | 8.3 | 1 640 107.4 | 58.1 | 949 742.8 | 33.6 |
1980s—2050s4.5 | 571 274.0 | 20.2 | 1 885 278.3 | 66.8 | 367 623.4 | 13.0 |
1980s—2050s8.5 | 637 201.2 | 22.6 | 1 847 708.7 | 65.4 | 339 265.8 | 12.0 |
2050s4.5—2070s4.5 | 582 651.3 | 20.6 | 1 979 848.0 | 70.1 | 261 752.4 | 9.3 |
2050s8.5—2070s8.5 | 30 105.1 | 1.1 | 2 019 525.9 | 71.5 | 774 620.7 | 27.4 |
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