Scholarlink

<p>The heterogeneous land-use configuration in urban environments alters autumn leaf senescence, influencing ecosystem services and biogeochemical cycling. This study investigated spatial heterogeneity of leaf senescence and the influence mechanisms of land-use composition via thermal regulation for five tree species in Wuhan’s urban area. The key phenophases of leaf senescence Peak Leaf Coloration (PLC) and End of Leaf Fall (ELF) were identified with drone-derived imagery. Land-use composition was quantified with the Percentage of Landscape (PLAND) of various land-use categories within 0.5–5.0&#xa0;km buffer radii. The results revealed an advancing pattern of leaf senescence with increasing distance from the urban core along the Yangtze River Bank (<i>p</i> &lt; 0.05). Among land-use categories, the PLAND of Park and Greenspace (Pa) significantly advanced leaf senescence by decreasing land-surface temperature, while Residential Land (Re) and other built-up land-use types delayed it through increased local temperature. Land-use composition explained over 65% of leaf senescence variation, with effects varying across species and spatial scales. <i>Ginkgo biloba</i> showed the highest phenological sensitivity to surrounding land use, while <i>Platanus× acerifolia</i> exhibited the lowest – an interspecific difference potentially attributed to varying environmental response strategies between stenochoric and eurychoric species. Land use at larger scale of 5&#xa0;km radius demonstrated significantly stronger explanatory power than at smaller community scale of 0.5&#xa0;km radius (<i>p</i> &lt; 0.05), indicating scale-dependent effects on tree phenology. These findings illuminate how heterogeneous land-use patterns shape intra-urban variation in leaf senescence phenology, providing a theoretical framework for predicting how future urbanization trajectories will influence seasonal rhythms of urban forests through progressive landscape transformation.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Intra-urban spatial heterogeneity of autumn leaf senescence: effects of land-use composition on tree phenology in Wuhan, China

  • 期刊论文

  • 发表日期：

    2025年5月19日

查看全文
  • Wenli Zhu,
  • Bohan Wu,
  • Ming Zhang,
  • Li Zhang,
  • Xiaoyi Xing,
  • Song Li

摘要

The heterogeneous land-use configuration in urban environments alters autumn leaf senescence, influencing ecosystem services and biogeochemical cycling. This study investigated spatial heterogeneity of leaf senescence and the influence mechanisms of land-use composition via thermal regulation for five tree species in Wuhan’s urban area. The key phenophases of leaf senescence Peak Leaf Coloration (PLC) and End of Leaf Fall (ELF) were identified with drone-derived imagery. Land-use composition was quantified with the Percentage of Landscape (PLAND) of various land-use categories within 0.5–5.0 km buffer radii. The results revealed an advancing pattern of leaf senescence with increasing distance from the urban core along the Yangtze River Bank (p < 0.05). Among land-use categories, the PLAND of Park and Greenspace (Pa) significantly advanced leaf senescence by decreasing land-surface temperature, while Residential Land (Re) and other built-up land-use types delayed it through increased local temperature. Land-use composition explained over 65% of leaf senescence variation, with effects varying across species and spatial scales. Ginkgo biloba showed the highest phenological sensitivity to surrounding land use, while Platanus× acerifolia exhibited the lowest – an interspecific difference potentially attributed to varying environmental response strategies between stenochoric and eurychoric species. Land use at larger scale of 5 km radius demonstrated significantly stronger explanatory power than at smaller community scale of 0.5 km radius (p < 0.05), indicating scale-dependent effects on tree phenology. These findings illuminate how heterogeneous land-use patterns shape intra-urban variation in leaf senescence phenology, providing a theoretical framework for predicting how future urbanization trajectories will influence seasonal rhythms of urban forests through progressive landscape transformation.