RRC ID |
85127
|
Author |
Wu Z, Zohner CM, Zhou Y, Crowther TW, Wang H, Wang Y, Peñuelas J, Gong Y, Zhang J, Zou Y, Van den Hoogen J, Fu YH.
|
Title |
Tree species composition governs urban phenological responses to warming.
|
Journal |
Nat Commun
|
Abstract |
Urban environments are typically warmer than surrounding rural areas, providing a unique setting for studying phenological responses to climate warming. Phenological differences between urban and rural trees are driven by local climate and species composition. Yet, the extent to which species composition influences phenological responses to urbanization remains poorly understood. To address this, we combine manipulative experiments, satellite-derived phenology data, and georeferenced tree occurrence records. Our findings show that, across Northern Hemisphere cities, differences in the temperature sensitivity of spring phenology between urban and rural areas are largely driven by urban-rural variation in species composition, surpassing the effects of preseason temperature. This pattern is particularly pronounced in Asian cities, where urban areas exhibit 0.74 ± 0.24 days/°C higher temperature sensitivity than rural areas. In-depth analyses using experiments and high-resolution satellite imagery from Beijing further demonstrate species-specific phenological responses to urbanization, with urban-dominant species exhibiting higher temperature sensitivity in urban environments compared to rural ones. These findings show that both interspecific variation in temperature sensitivity and species-specific responses to urbanization contribute to the pronounced impact of species composition on urban-rural phenological patterns. Our study underscores the importance of considering species composition when studying phenological responses to climate warming, especially in urban contexts.
|
Volume |
16(1)
|
Pages |
3696
|
Published |
2025-4-18
|
DOI |
10.1038/s41467-025-58927-8
|
PII |
10.1038/s41467-025-58927-8
|
Description |
J-OBIS data were referenced. NIES data were referenced. BiodiC-J data were referenced.
|
PMID |
40251170
|
PMC |
PMC12008182
|
MeSH |
Biodiversity
Cities
Climate Change
Ecosystem
Global Warming*
Satellite Imagery
Seasons
Species Specificity
Temperature
Trees* / classification
Trees* / growth & development
Trees* / physiology
Urbanization
|
IF |
12.121
|
Resource |
GBIF |
Long-term fauna and flora records of the experimental forests of the Forest Research Station of Hokkaido University, Japan
Survey data of algal beds on the Monitoring sites 1000 project, BDCJ
Occurrence data of seagrasses in Southeast Asia extracted from literature
Survey data of seagrass beds on the Monitoring sites 1000 project, BDCJ
The 6-7th National Survey on the Natural Environment: Vegetation Survey
Herbaceous and arboreous plants list on the Komaba Campus of University of Tokyo, Japan
Plankton&BenthosResearch
A dataset for vascular plant diversity monitoring for the natural World Heritage site on Amami-Oshima Island, Tokunoshima Island, and the northern Okinawa Island
A crowdsourcing approach to collecting photo-based insect and plant observation records
Occurrence data of woody plants in the Ginkakuzi-san National Forest
Plant Observation Records of Japan
Plant distribution data with photograph |