Change prediction of potential suitable area of cultivated land in Northeast China under the future climate change situation based on MaxEnt model
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摘要:
东北是中国重要的商品粮基地,其耕地主要分布于东北平原林耕资源大区。研究该区域耕地的未来潜在适宜区,对于提升其在未来气候变化背景下的适应性具有重大意义。基于2000—2020年耕地分布数据与31个气候、地形、水文、土壤等多类环境变量,通过最大熵模型(MaxEnt)和空间统计分析,构建未来近期(2021—2040年)和未来中期(2041—2060年)4种共享经济路径(SSP126、SSP245、SSP370和SSP585)情景下的耕地预测模型,揭示东北平原林耕资源大区耕地潜在适宜区空间分布规律和未来演变趋势。结果显示:①旱地面积为29.21×104 km2,其高适生区、中适生区、低适生区和不适生区面积分别为5.39×104 km2、48.71×104 km2、19.82×104 km2和30.18×104 km2。高适生面积区占旱地面积的15.27%,主要分布在海拔较低的辽河平原和松嫩平原。影响旱地适宜性的主要环境因素是最湿季度平均温度、坡度、最干季度降水量和气温季节变化标准差。旱地最优分布环境条件为:平均温度为18.58~24.8℃、坡度为−1.25°~8.03°、降水量为0~16.3 mm、气温季节变化标准差为930~1400。②水田面积为6.07×104 km2,其高适生区、中适生区、低适生区和不适生区面积分别为4.06×104 km2、13.67×104 km2、20.22×104 km2和66.17×104 km2。高适生区面积占水田面积的66.89%,主要集中在三江平原,零散分布于松嫩平原和辽河平原。影响水田适宜性的主要环境因素是海拔、年平均气温、坡度和等温性。水田最优分布环境条件为:海拔低于225.9 m、年平均气温为1.69~6.03℃、坡度低于2.28°、等温性低于25.53。③在未来气候情境下,旱地和水田适宜区分布与历史气候情景相似,但适生区面积有所变化。在未来近期,旱地高适生区面积在SSP245-30模式下增量最高,为0.4×104 km2;水田高适生区面积在SSP126-30模式下面积增量最高,为0.03×104 km2。在未来中期,旱地和水田高适生区在4种模式下均降低,旱地在SSP126-50模式下降低最多,水田在SSP585-50模式下降低最多。研究结果可为东北平原林耕资源大区土地国土空间规划提供科学支撑,为耕地的开发与利用提供参考。
Abstract:Northeast China is an important commodity grain base in China, and its cultivated land is mainly distributed in the Northeast Plain forest−farming resources area. Studying the future potential suitable areas of cultivated land in this region is of great significance for improving its adaptability in the context of future climate change. Based on the distribution data of cultivated land (dry land and paddy field) and 31 environmental variables such as climate, topography, hydrology and soil from 2000 to 2020, this study used the maximum entropy model (MaxEnt) and spatial statistical analysis to construct cultivated land prediction models under the scenarios of four shared economic paths (SSP126, SSP245, SSP370 and SSP585) in different periods (2021−2040,2041−2060) in the future, and revealed the spatial distribution and future evolution trend of the potential suitable areas of cultivated land in the forest and cultivated resources area of the Northeast Plain.The results showed that: ① The area of dry land was 29.21 ×104 km2, and the areas of high suitable area, medium suitable area, low suitable area and unsuitable area of dry land were 5.39×104 km2,48.71×104 km2,19.82×104 km2 and 30.18×104 km2, respectively. The high suitable area accounted for 15.27% of the dry land area, mainly distributed in the Liaohe Plain and Songnen Plain with low altitude. The main environmental factors affecting the suitability of dry land are the average temperature of the wettest quarter (bio8), slope (slope), precipitation of the driest quarter (bio17) and the standard deviation of seasonal variation of temperature (bio4). The optimal environmental conditions for dry land distribution are as follows: bio8 is 18.58 ~ 24.8℃, slope is −1.25° ~ 8.03°, bio17 is 0 ~ 16.3 mm, and bio4 is 930 ~ 1400. ② The paddy field area is 6.07×104 km2, and the areas of high suitable area, medium suitable area, low suitable area and unsuitable area of paddy field were 4.06×104 km2, 13.67×104 km2, 20.22×104 km2 and 66.17×104 km2, respectively. The high suitable area accounted for 66.89% of the paddy field area, which was mainly concentrated in Sanjiang Plain and scattered in Songnen Plain and Liaohe Plain. The main environmental factors affecting the suitability of paddy fields are altitude (dem), annual average temperature (bio1), slope and isothermality (bio3). The optimal environmental conditions for the distribution of paddy fields are as follows: dem is lower than 225.9 m, bio1 is 1.69 ~ 6.03℃, slope is lower than 2.28°, bio3 is lower than 25.53. ③ In the future climate scenario, the distribution of suitable areas for dry land and paddy fields is basically consistent with the current climate scenario, but the area of suitable areas has changed. During the early future period, the area of high suitable area of dry land increased the most under the SSP245−30 mode, which was 0.4×104 km2. The area increment of high suitable area in SSP126−30 mode was the highest, which was 0.03×104 km2. During the mid future period, the high suitable areas of dry land and paddy field decreased under the four modes. The dry land decreased the most under the SSP126−50 mode (1.46×104 km2), and the paddy field decreased the most under the SSP585−50 mode (0.29×104 km2). The research results can provide scientific support for the spatial planning of land in the Northeast Plain forest−farming resources area, and provide reference and suggestions for the development and utilization of cultivated land.
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Keywords:
- cultivated land /
- MaxEnt model /
- assessment of feasibility /
- climate change /
- Northeast China
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图 8 SSP126、SSP245、SSP370和SSP585情景下在未来近期和未来中期旱地(a1、b1、c1、d1、e1、f1、g1、h1)和水田(a2、b2、c2、d2、e2、f2、g2、h2)的潜在适生区预测
Figure 8. Prediction of potential suitable areas of SSP126, SSP245, SSP370 and SSP585 scenarios in dry land ( a1, b1, c1, d1, e1, f1, g1, h1 ) and paddy fields ( a2, b2, c2, d2, e2, f2, g2, h2 ) in the early future and mid future
表 1 水田与旱地特征
Table 1 Paddy field and dry land characteristics
耕地类型 描述 面积/km2 用于模型的栅格点数/个 旱地 无灌溉水源及设施,靠天然降水生长作物的耕地;有水源和浇灌设施,在一般年景下能正常灌溉的旱作物耕地;以仲裁为主的耕地;正常耕作的休闲地和轮歇地 292127 7143 水田 有水源保证和灌溉设施,在一般年景能正常灌溉,用以种植水稻、莲藕等水生农作物的耕地,包括实行水稻和旱地作物轮种的耕地 60739 3980 表 2 用于分析东北平原林耕资源大区耕地适宜区的31个环境变量及数据来源
Table 2 Thirty-one environmental variables and data sources used to analyze the suitable area of cultivated land in the Northeast Plain forest-farming resources area
变量类型 变量 描述 数据来源 气候因子 bio1 年平均气温/℃ 世界气候数据库(www.worldclim.org)中1970—2000年和
2021—2100年的气候因子bio2 昼夜温差月均值/℃ bio3 等温性[(bio2/bio7)×100] bio4 气温季节变化标准差(标准差×100) bio5 最暖月份最高温度/℃ bio6 最冷月份最低温度/℃ bio7 气温年较差(bio5-bio6)/℃ bio8 最湿季度平均温度/℃ bio9 最干季度平均温度/℃ bio10 最暖季度平均温度/℃ bio11 最冷季度平均温度/℃ bio12 年降水量/mm bio13 最湿月份降水量/mm bio14 最干月份降水量/mm bio15 降水量季节性变化/mm bio16 最湿季度降水量/mm bio17 最干季度降水量/mm bio18 最暖季度降水量/mm bio19 最冷季度降水量/mm 地形因子 aspect 坡向/° 国家青藏高原科学数据中心(https://data.tpdc.ac.cn) dem 海拔/m slope 坡度/° 土壤因子 t_caco3 碳酸盐含量/% 北京大学城市与环境学院地理数据平台(http://geodata.pku.edu.cn) t_cec_soil 土壤阳离子交换能力/(cmol·kg−1) t_clay 粘粒含量/% t_esp 可交换钠盐/% t_gravel 砾石体积百分比/% t_oc 有机碳含量/% t_ph 酸碱度(l) t_sand 沙含量/% 水文类 water-dist 水系距离/m OpenStreetMap Data extract (https://www.openstreetmap.org) 表 3 去除空间相关性后的变量及贡献率
Table 3 Variables and their contribution rates after removing spatial correlation
旱地 水田 变量 贡献率/% 变量 贡献率/% bio8 79.8 dem 34.5 slope 6.7 bio1 23.1 bio17 4.9 slope 20.1 bio4 3 bio3 11.6 bio18 2 bio14 3.4 bio2 1 bio15 1.6 bio3 0.8 water-dist 1.2 t_sand 0.5 bio2 1.1 t_oc 0.4 bio16 0.8 t_cec_soil 0.2 bio18 0.6 t_caco3 0.2 t_oc 0.5 t_esp 0.1 t_clay 0.5 water-dist 0.1 t_ph 0.4 t_ph 0.1 t_cec_soil 0.3 t_clay 0.1 aspect 0.2 t_gravel 0.1 t_sand 0.1 - - t_gravel 0.1 - - t_esp 0.1 - - t_caco3 0.1 注:变量的详细描述见表2 表 4 旱地历史时期和未来时期各适宜区面积
Table 4 The area of suitable areas in the historical and future periods of dry lands
104km2 适宜区 历史时期 未来近期 未来中期 SSP126 SSP245 SSP370 SSP585 SSP126 SSP245 SSP370 SSP585 高适生区 5.39 5.26 5.79 4.55 4.67 3.93 4.05 4.44 4.10 中适生区 48.71 47.69 47.67 49.63 49.10 50.87 49.60 49.38 50.25 低适生区 19.82 20.87 22.35 20.62 19.94 19.90 20.44 19.93 20.39 不适生区 30.18 30.31 28.31 29.32 30.40 29.42 30.03 30.36 29.38 表 5 水田历史时期和未来时期各适宜区面积
Table 5 The area of suitable areas in the historical period and future period of paddy field
104km2 适宜区 历史时期 未来近期 未来中期 SSP126 SSP245 SSP370 SSP585 SSP126 SSP245 SSP370 SSP585 高适生区 4.06 4.09 4.00 3.99 4.02 4.02 4.01 3.86 3.77 中适生区 13.67 13.49 14.62 14.08 13.64 13.79 13.67 14.22 14.33 低适生区 20.22 19.86 19.49 19.72 20.10 19.89 20.03 20.33 20.18 不适生区 66.17 66.68 66.00 66.33 66.37 66.43 66.41 65.70 65.85 -
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