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植被净初级生产力响应视角下城市化对区域土地生态功能的阈值效应与分区调控

Threshold effects of urbanization on regional land ecological functions and differentiated zoning regulation: a perspective based on vegetation net primary productivity response

  • 摘要: 在快速城市化与生态环境变化深度交织的背景下,揭示城市化对土地生态功能的非线性影响及其空间分异,是维护区域生态安全与优化国土空间开发格局的重要基础。植被净初级生产力(net primary productivity, NPP)能够有效表征区域生态系统的物质生产与碳固定能力,是反映土地生态功能变化的重要指标。为此,该研究以黑龙江省为研究区,构建了“非线性阈值识别、分区表征、路径分解”的一体化分析框架,整合运用城市化强度指数、局部加权回归及偏最小二乘路径模型,系统解析城市化与自然因子对NPP的协同作用机制。结果显示:1)黑龙江省城市化增长呈现“南聚北散”的空间格局:热点区集中于南部核心城市及其联系廊道(以哈尔滨主城区为代表),冷点区则分散于北部及东部部分地区。这一分异受大兴安岭生态红线管控与三江平原农业主导发展的双重约束,城市化并非均衡推进,而是以核心城市集聚扩张为主导、外围区域相对缓慢分散的演进模式;2)综合城市化强度指数(urbanization Intensity Index, UII)与NPP之间存在显著的非线性阈值效应,断点位于UII=0.66。低城市化阶段(UII<0.66)主要表现为城市扩张与NPP下降的空间共现;高城市化阶段(UII>0.66)则呈现NPP回升趋势,且该转折与城市发展进入新阶段在时间上具有同步性;3)城市化对NPP的影响分区机制差异显著:β为标准化路径系数,其正负分别表示作用方向,绝对值反映作用的相对强度。在低城市化增长率-高NPP区中,城市化对NPP存在显著的直接抑制作用(β=−0.428),自然因子主要表现为有限缓冲作用,但不足以抵消城市化直接扰动带来的负面影响,总效应为−0.263;在高城市化增长率-低NPP区中,城市化对NPP的直接效应很弱(β=-0.028),但城市化通过削弱自然因子的正向支撑作用,使直接与间接负效应叠加放大,总效应达到−0.381;在高城市化增长率-高自然因子波动区中,城市化对NPP存在直接抑制(β=-0.321),城市化对自然因子表现为正向作用β=0.410,自然因子对NPP具有正向驱动(β=0.359),从而在一定程度上缓解城市化的直接抑制效应,总效应减弱至−0.174。研究结果表明,城市化对区域植被碳固定能力的影响具有显著的阈值特征与分区差异,其作用路径受城市化强度与区域自然背景条件的共同制约。该研究可为差异化制定城市开发强度管控、生态修复重点识别与国土空间协同治理策略提供科学依据。

     

    Abstract: Against the backdrop of the deepening interplay between rapid urbanization and ecological environmental change, revealing the nonlinear effects of urbanization on land ecological functions and their spatial differentiation constitutes a fundamental basis for safeguarding regional ecological security and optimizing the spatial pattern of territorial development. Vegetation Net Primary Productivity (NPP) can effectively characterize the material production and carbon sequestration capacity of regional ecosystems, serving as a key indicator of changes in land ecological functions. To this end, this study takes Heilongjiang Province as the study area and constructs an integrated analytical framework comprising nonlinear threshold identification, zonal characterization, and pathway decomposition. By integrating the urbanization intensity index, locally weighted regression, and partial least squares path modeling, the study systematically elucidates the synergistic mechanisms through which urbanization and natural factors jointly influence NPP. The results showed that: 1) The growth of urbanization in Heilongjiang Province exhibited a spatial pattern of "concentration in the south and dispersion in the north": hotspot areas were concentrated in the southern core cities and their connecting corridors (represented by the main urban area of Harbin), while cold spot areas were scattered across parts of the northern and eastern regions. This differentiation was constrained by the dual constraints of the ecological redline management in the Greater Khingan Mountains and the agriculture-driven development of the Sanjiang Plain, indicating that urbanization did not proceed evenly but rather followed an evolutionary pattern dominated by agglomerative expansion of core cities, with relatively slow and dispersed development in peripheral areas; 2) A significant nonlinear threshold effect existed between the composite Urbanization Intensity Index (UII) and NPP, with the breakpoint located at UII = 0.66. In the low-urbanization stage (UII = 0.66), a trend of NPP recovery emerged, and this turning point showed temporal synchrony with the entry of urban development into a new stage; 3) The zonal mechanisms by which urbanization influenced NPP differed significantly: β represents the standardized path coefficient, with its sign indicating the direction of the effect and its absolute value reflecting the relative strength of the effect. In regions with a low urbanization growth rate and high NPP, urbanization exerts a significant direct inhibitory effect on NPP (β = −0.428); natural factors mainly play a limited buffering role that is insufficient to offset the negative impacts of direct urbanization disturbance, yielding a total effect of −0.263. In regions with a high urbanization growth rate and low NPP, the direct effect of urbanization on NPP is weak (β = −0.028), but urbanization weakens the positive supporting role of natural factors, thereby superimposing and amplifying direct and indirect negative effects, with a total effect reaching −0.381. In regions with a high urbanization growth rate and high fluctuation of natural factors, urbanization directly inhibits NPP (β = −0.321), exerts a positive effect on natural factors (β = 0.410), and natural factors positively drive NPP (β = 0.359), thereby mitigating the direct inhibitory effect of urbanization to some extent and reducing the total effect to −0.174. The results indicate that the impact of urbanization on regional vegetation carbon sequestration capacity exhibits pronounced threshold characteristics and zonal differentiation, with its pathways modulated by urbanization intensity and regional natural background conditions.

     

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