Research of ecological security patterns based on ecosystem services value in Chengdu-Deyang-Mianyang city belt
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摘要:
定量研究与分析成都-德阳-绵阳城市带(成德绵城市带)生态系统服务价值(ESV)变化及其生态安全格局,对区域协同筑牢生态安全屏障,加强生态系统保护,推动国土空间生态修复规划,推进生态文明建设具有重要意义。通过ESV当量法分析2010—2018 年成德绵城市带ESV的时空变化;提取区域内99%、95%、90%置信水平ESV热点区域,识别生态保护核心“源”地;采用最小累积阻力模型,选用高程、土地利用等8 项重要阻力因子得到阻力面,构建区域生态廊道,识别城市带生态安全格局,对跨行政区生态网络空间布局提出优化建议。结果显示:2010—2018 年,研究区ESV总量从1 372.91 亿元升至1 519.93 亿元,其中原材料、气体调节、气候调节、废物处理、土壤形成与保护、生物多样性保护的EVS增长速率高于10%。研究区生态安全水平呈现西北高东南低的空间分布特征,其中高安全及次高安全区面积占比为49.8%,集中在西北部、中南部等区域;中安全及低安全区面积占比为50.2%,主要集中在南部建设用地较多的低海拔城镇地区。识别生态“源”地24 处,占研究区总面积的27.3%,且呈带状分布;生态廊道53 条,生态节点41 个,整体呈现多中心环状,网络连通水平较好。基于研究结果,构建了西北密东南疏的“两轴、三带、四节点”生态网络空间结构。
Abstract:Quantitative research and analysis of the ecosystem services value (ESV) change and ecological security pattern in Chengdu-Deyang-Mianyang (CDM) city belt are crucial for cross-administrative coordination to build an ecological security barrier, strengthen ecosystem protection, advance the ecological restoration planning, and promote the construction of ecological civilization. The spatial and temporal variations of ESV in CDM city belt from 2010 to 2018 were analyzed using ESV equivalence method. Then, 99%, 95% and 90% confidence level ESV hotspots in the region were extracted and the core "source" ecological protection areas were identified. Eight important resistance factors such as elevation and land use were selected to obtain the resistance surface, and the minimal cumulative resistance model was used to construct the regional ecological corridors and identify the ecological security patterns in urban belts. The optimization suggestions of the spatial layout of ecological networks across administrations were proposed. The results showed that from 2010 to 2018, the total value of ecosystem services in the study area increased from 137.291 billion to 151.993 billion, with growth rates above 10 percent for raw materials, gas regulation, climate regulation, waste disposal, soil formation and conservation, and biodiversity conservation. The ecological safety level of the study area showed a spatial distribution characterized by a high level in the northwest and a low level in the southeast, 49.8% of which were with the highest and second-highest safety levels and concentrated in the northwest, south-central and other regions. The medium- and low-security zones accounted for 50.2 percent of the total, mainly concentrated in low-altitude urban areas such as construction sites in the south. 24 ecological "source" sites were identified, accounting for 27.3% of the total area of the study area, and were distributed in a zonal pattern; fifty-three ecological corridors and forty-one ecological nodes were identified, showing an overall polycentric ring shape and an excellent overall level of network connectivity. Based on the research results, the spatial structure of the ecological network of "two axes, three belts and four nodes" was constructed in the northwest (dense) and southeast (sparse), which provided references and suggestions for regional ecological security.
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表 1 2018 年不同土地利用类型单位面积生态服务价值
Table 1. Ecological service value per unit area of different land use types in 2018
元/hm2 土地利用
类型对应生态
系统类型生态系统服务类型 食物生产 原材料 气体调节 气候调节 水文调节 废物处理 土壤形成与保护 生物多样性保护 娱乐文化 林地 森林 923.07 8 335.56 12 083.77 11 384.48 11 440.42 4 811.13 11 244.62 12 615.23 5 818.11 草地 草地 1 202.78 1 006.98 4 195.75 4 363.58 4 251.70 3 692.26 6 265.66 5 230.71 2 433.54 耕地 农田 2 797.17 1 090.90 2 013.96 2 713.25 2 153.82 1 090.90 4 111.84 2 853.11 475.52 沼泽 湿地 1 006.98 671.32 6 741.18 37 901.64 37 593.95 40 279.23 5 566.37 10 321.55 13 873.96 水域 水体 1 482.50 979.01 1 426.56 5 762.17 52 502.86 41 537.96 1 146.84 9 594.29 12 419.43 未利用地 裸地 55.94 111.89 167.83 363.63 195.80 727.26 475.52 1 118.87 671.32 表 2 生态阻力因子系数及权重
Table 2. Ecological resistance factor coefficient and weight
阻力因子 阻力系数 权重 1 10 20 40 70 100 高程/m 275~779 779~1 292 1 292~1 841 1 841~2 496 2 496~3 266 3 266~5 363 0.073 坡度/(°) 0~6.31 6.31~15.06 15.06~24.17 24.17~33.28 33.28~43.79 43.79~89.33 0.050 地形起伏度/m 0~14 14~33 33~56 56~90 90~1 356 1 356~4 982 0.034 距水体的距离/km 0~2 2~5 5~10 10~15 15~20 >20 0.227 距道路的距离/km <20 10~20 5~10 2~5 1~2 0~1 0.024 NDVI 0.52~0.70 0.45~0.52 0.38~0.45 0.30~0.38 0.20~0.30 0~0.20 0.157 土壤侵蚀度 11、21、31 12、22、32 13、23、33 14、24、34 15、25 16、26 0.108 土地利用类型 林地 水域/湿地 草地 耕地 未利用地 建设用地 0.327 表 3 敏感性指数计算结果
Table 3. Sensitivity index calculation results
年份 林地 草地 耕地 湿地 水域 未利用地 2010 0.6031 0.0846 0.2689 0.0067 0.0422 0.0003 2015 0.6056 0.0850 0.2660 0.0068 0.0431 0.0003 2018 0.6062 0.0853 0.2631 0.0066 0.0451 0.0003 表 4 生态网络完整度评价
Table 4. Evaluation of ecological network integrity
生态安全
格局类别生态廊
道数量/条生态节
点数量/个网络闭合度
($ \alpha $)节点连接率
($ \beta $)节点连接度
($ \gamma $)低 25 13 0.62 1.92 0.76 中 31 28 0.08 1.11 0.40 高 53 41 0.17 1.29 0.45 -
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