国家重点生态功能区城市与毗邻非生态功能区城市绿色发展水平测度与时空差异
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国家自然科学基金项目(41171433);国家社会科学基金项目(16BJY039);黑龙江省自然科学基金项目(D2018003)


Urban green development level and spatio-temporal difference of cities in the National Key Ecological Function Zones and adjacent non-ecological function zones
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The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan);The National Social Science Foundation of China;The National Natural Science Foundation of Heilongjiang Province

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    摘要:

    以黑龙江省为主体的中国北方森林湿地生态功能区及毗邻地区作为实证研究区域,从绿色生产、绿色生活、绿色生态三个维度构建绿色发展水平测度指标体系,运用熵权-TOPSIS评价法、障碍度模型、趋势移动平均模型等方法,对2009-2018年期间长白山森林生态功能区、三江平原湿地生态功能区、大小兴安岭森林生态功能区及毗邻的非生态功能对照区绿色发展水平进行了动态测度和时空差异比较、评估了绿色转型发展速度、识别并分析了障碍因素作用,预测了绿色发展趋势水平。主要结论如下:①区域自然生态本底优质,但各功能区绿色发展水平相对较低,绿色指数均低于0.6;十年间各功能区绿色发展水平呈小幅上升趋势。城市间绿色发展整体水平的最大差距徘徊在0.16-0.17之间,呈微弱缩小态势。②从3个时间节点各功能区整体绿色发展空间格局上看,长白山森林生态功能区处于较高水平,三江平原湿地生态功能区水平偏低。大小兴安岭森林生态功能区绿色发展水平上升幅度较大,毗邻对照区则较小。高水平类型城市数量有所增加,由1个增加至3个,低水平地区数量下降,由4个下降至2个,并呈向高水平转变的趋势。③区域绿色转型效果总体不显著,转型速度缓慢未呈现显著的加速转型发展的态势。④相较绿色生态而言,绿色生活和绿色生产两个指标对城市绿色发展水平阻碍强度较大。⑤未来5年区域绿色发展水平将呈波动上升的发展趋势。强化创新驱动机制,提高绿色创新能力;完善基础设施建设,促进区域协同发展;加大人才资金投入,提高生态环境治理力度是全面推进区域绿色发展的重要举措。

    Abstract:

    The forest wetland ecological function area and adjacent areas in northern China with Heilongjiang Province as the main body are selected as empirical research areas. The green development level measurement index system is constructed from three dimensions of green production, green life, and green ecology. Using Entropy TOPSIS evaluation method, obstacle degree model, trend moving average model and other methods, the green development level of the forest ecological function area of Changbai Mountain, the wetland ecological functional area of Sanjiang Plain, the forest ecological function area of Daxing'an Mountains and Xiaoxing'an Mountains and adjacent non-ecological function control areas were dynamically measured and compared with time and space differences. The green transformation speed was evaluated, and the role of obstacle factors were identified and analyzed. We also predicted the level of green development trends from 2009 to 2018. The main conclusions are as follows:①the regional natural background is high-quality, but the green development level of each functional area is relatively low, and the green index is lower than 0.6; the green development level of each functional area has a slight upward trend during the decade. The biggest gap in the overall level of green development between cities hovers between 0.16 and 0.17, showing a slight shrinking trend. ②From the perspective of the overall green development spatial pattern of each functional area at the three time nodes, the forest ecological function area of Changbai Mountain is at a relatively high level, while the wetland ecological functional area of Sanjiang Plain is at a low level. The level of green development in the forest ecological function area of Daxing'an Mountains and Xiaoxing'an Mountains has increased significantly, while that in adjacent non-ecological function control areas is smaller. The number of high-level cities has increased from 1 to 3, and the number of low-level areas has decreased from 4 to 2, and the trend is shifting to a higher level. ③The overall effect of regional green transformation is not significant, and the slow speed of transformation does not show a significant trend of the accelerated transformation development. ④Compared with green ecology, the two indicators of green life and green production hinder the level of urban green development. ⑤The level of regional green development will fluctuate and rise in the next 5 years. Enhancing the innovation-driven mechanism and improving the ability of green innovation, improving infrastructure construction and promoting regional coordinated development, increasing investment in human resources and improving the governance of ecological environment are important measures to promote regional green development in an all- round way.

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张旖琳,吴相利.国家重点生态功能区城市与毗邻非生态功能区城市绿色发展水平测度与时空差异.生态学报,2022,42(14):5761~5777

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