Background:With the expansion of urban areas,the remnants of forested areas play a crucial role in preserving biodiversity in urban environments.This study aimed to explore the impact of spatiotemporal urban expansion...Background:With the expansion of urban areas,the remnants of forested areas play a crucial role in preserving biodiversity in urban environments.This study aimed to explore the impact of spatiotemporal urban expansion on the networks of leaf traits in woody plants within remnant forest patches,thereby enhancing our understanding of plant adaptive strategies and contributing to the conservation of urban biodiversity.Methods:Our study examined woody plants within 120 sample plots across 15 remnant forest patches in Guiyang,China.We constructed leaf trait networks (LTNs) based on 26 anatomical,structural,and compositional leaf traits and assessed the effects of the spatiotemporal dynamics of urban expansion on these LTNs.Results and conclusions:Our results indicate that shrubs within these patches have greater average path lengths and diameters than trees.With increasing urban expansion intensity,we observed a rise in the edge density of the LTN-shrubs.Additionally,modularity within the networks of shrubs decreased as road density and urban expansion intensity increased,and increases in the average path length and average clustering coefficient for shrubs were observed with a rise in the composite terrain complexity index.Notably,patches subjected to‘leapfrog’expansion exhibited greater average patch length and diameter than those experiencing edge growth.Stomatal traits were found to have high degree centrality within these networks,signifying their substantial contribution to multiple functions.In urban remnant forests,shrubs bolster their resilience to variable environmental pressures by augmenting the complexity of their leaf trait networks.展开更多
【目的】皖江城市带是促进长三角经济一体化发展、推动中部地区崛起的关键战略区,探究该区域土地利用资源如何合理调配,对实现区域生态、经济协调发展有着重要意义。【方法】基于斑块生成土地利用模拟(patch-generating land use simula...【目的】皖江城市带是促进长三角经济一体化发展、推动中部地区崛起的关键战略区,探究该区域土地利用资源如何合理调配,对实现区域生态、经济协调发展有着重要意义。【方法】基于斑块生成土地利用模拟(patch-generating land use simulation,PLUS)模型、IM(intensity map)模型和土地利用转移矩阵,综合考虑自然和社会经济因素,选取18种驱动因子分析皖江城市带2000—2020年土地利用变化时空格局以及驱动力,并设置自然发展、耕地保护、生态保护、快速发展4种情景模拟2030年皖江城市带土地利用变化,分析不同发展目标下国土空间分布格局。【结果】①皖江城市带土地利用类型以耕地、林地为主,约占总面积的90%。2000—2020年,土地利用变化基本稳定,建设用地面积快速增长,耕地、草地面积持续减少;建设用地单一动态度较高,为14.30%,2000—2005年综合动态度最高,为0.36%。②PLUS模型在皖江城市带适用性强,以2010—2015年为步长模拟2020年土地利用精度最高,总体精度为94.84%,Kappa系数为91.24%。③2000—2020年建设用地扩张最主要驱动因素为夜间灯光、距一级道路和距乡村距离,其他各类用地扩张以自然、社会经济因素为主。④不同情境土地利用变化差异较大,综合对比下,生态保护情景在保护生态用地的同时增加建设用地的扩张,实现了生态发展与经济建设的动态平衡,为促进皖江城市带可持续发展提供了新思路。【结论】皖江城市带20年间土地利用变化稳定,生态保护情景更适合当地未来土地利用变化管理与决策应用。展开更多
基金funded by the National Natural Science Foundation of China (No.32360418)the Guizhou Provincial Basic Research Program (Natural Science)(No.QianKeHeJiChu-ZK[2024]YiBan022)。
文摘Background:With the expansion of urban areas,the remnants of forested areas play a crucial role in preserving biodiversity in urban environments.This study aimed to explore the impact of spatiotemporal urban expansion on the networks of leaf traits in woody plants within remnant forest patches,thereby enhancing our understanding of plant adaptive strategies and contributing to the conservation of urban biodiversity.Methods:Our study examined woody plants within 120 sample plots across 15 remnant forest patches in Guiyang,China.We constructed leaf trait networks (LTNs) based on 26 anatomical,structural,and compositional leaf traits and assessed the effects of the spatiotemporal dynamics of urban expansion on these LTNs.Results and conclusions:Our results indicate that shrubs within these patches have greater average path lengths and diameters than trees.With increasing urban expansion intensity,we observed a rise in the edge density of the LTN-shrubs.Additionally,modularity within the networks of shrubs decreased as road density and urban expansion intensity increased,and increases in the average path length and average clustering coefficient for shrubs were observed with a rise in the composite terrain complexity index.Notably,patches subjected to‘leapfrog’expansion exhibited greater average patch length and diameter than those experiencing edge growth.Stomatal traits were found to have high degree centrality within these networks,signifying their substantial contribution to multiple functions.In urban remnant forests,shrubs bolster their resilience to variable environmental pressures by augmenting the complexity of their leaf trait networks.
文摘【目的】皖江城市带是促进长三角经济一体化发展、推动中部地区崛起的关键战略区,探究该区域土地利用资源如何合理调配,对实现区域生态、经济协调发展有着重要意义。【方法】基于斑块生成土地利用模拟(patch-generating land use simulation,PLUS)模型、IM(intensity map)模型和土地利用转移矩阵,综合考虑自然和社会经济因素,选取18种驱动因子分析皖江城市带2000—2020年土地利用变化时空格局以及驱动力,并设置自然发展、耕地保护、生态保护、快速发展4种情景模拟2030年皖江城市带土地利用变化,分析不同发展目标下国土空间分布格局。【结果】①皖江城市带土地利用类型以耕地、林地为主,约占总面积的90%。2000—2020年,土地利用变化基本稳定,建设用地面积快速增长,耕地、草地面积持续减少;建设用地单一动态度较高,为14.30%,2000—2005年综合动态度最高,为0.36%。②PLUS模型在皖江城市带适用性强,以2010—2015年为步长模拟2020年土地利用精度最高,总体精度为94.84%,Kappa系数为91.24%。③2000—2020年建设用地扩张最主要驱动因素为夜间灯光、距一级道路和距乡村距离,其他各类用地扩张以自然、社会经济因素为主。④不同情境土地利用变化差异较大,综合对比下,生态保护情景在保护生态用地的同时增加建设用地的扩张,实现了生态发展与经济建设的动态平衡,为促进皖江城市带可持续发展提供了新思路。【结论】皖江城市带20年间土地利用变化稳定,生态保护情景更适合当地未来土地利用变化管理与决策应用。
