陕南秦巴山区道路网络对流域单元景观格局破碎化的差异性影响OA
The differential impact of road networks on watershed unit landscape pattern fragmentation in the Qinba Mountain region of Southern Shaanxi
在生态脆弱地区,道路扩张会加剧景观破碎化、生物多样性降低等问题.以典型生态脆弱区——陕南秦巴山区为研究对象,构建包含数量、形状、面积、聚合及连通性的五维景观破碎化评价体系,并基于多尺度地理加权回归(multi-scale geographically weighted regression,MGWR)深入探究不同道路结构特征对多维景观破碎化的空间异质性影响.结果表明:区域景观破碎化呈现显著空间分异,宝鸡、西安及渭南市构成低破碎化核心区,商洛市则为中度破碎化过渡带,汉中及安康中部形成高破碎化聚集区.多维破碎化特征对道路干扰的敏感性存在差异,数量与面积特征响应最敏感,形状与连通特征次之,聚合特征敏感度最弱.道路密度与距道路距离对生态斑块数量、面积及连通性的解释性最强,且低等级道路的影响强度大于高等级道路.道路曲率与生态斑块形状呈显著负相关,而路网度中心性与斑块的形状及面积存在相关关系.研究可为陕南秦巴山区未来道路建设及生态保护提供参考依据.
In ecologically fragile areas,road expansion exacerbates issues such as landscape fragmentation and biodiversity loss.The study takes the Qinba Mountain region of Southern Shaanxi,a typical ecologically fragile region,as the research subject,constructs a five-dimensional landscape fragmentation evaluation system encompassing quantity,shape,area,aggregation,and connectivity.The spatial heterogeneity effects of different road structure characteristics on multi-dimensional landscape fragmentation are further investigated based on multi-scale geographically weighted regression(MGWR).The results show that:regional landscape fragmentation exhibits significant spatial differentiation,with Baoji,Xi'an,and Weinan forming a low-fragmentation core area,Shangluo serving as a moderate fragmentation transition zone,and central Hanzhong and Ankang constituting high fragmentation clustering areas.Sensitivity to road disturbance varies across multi-dimensional fragmentation features,with quantity and area characteristics being the most sensitive,followed by shape and connectivity features,while aggregation features exhibit the weakest sensitivity.Road density and distance from roads have the strongest explanatory power for the number,area,and connectivity of ecological patches,with lower-grade roads exerting a greater influence than higher-grade roads.Road curvature shows a significant negative correlation with the shape of ecological patches,whereas network degree centrality correlates with both patch shape and area.The study can provide a reference basis for future road construction and ecological conservation in the Qinba Mountain region of Southern Shaanxi.
王玮琳;冯霄;杨晴青;李继园
陕西师范大学 地理科学与旅游学院,陕西 西安 710119长安大学 公路学院,陕西 西安 710064陕西师范大学 地理科学与旅游学院,陕西 西安 710119陕西师范大学 地理科学与旅游学院,陕西 西安 710119
天文与地球科学
道路生态景观破碎化复杂网络理论多尺度地理加权回归
road ecologylandscape fragmentationcomplex network theorymulti-scale geographically weighted regression(MGWR)
《陕西师范大学学报(自然科学版)》 2026 (3)
67-79,13
陕西省哲学社会科学研究专项(2024QN051)中央高校基本科研业务费专项资金(24ZYYB017)
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