Phenological Responses to Canopy Structure Depend on Vegetation Biomes Across the United States

Land surface phenology is a key indicator of ecosystem responses to global change, but most studies largely emphasized temporal trends, leaving spatial patterns, particularly those shaped by canopy structure, underresolved. As disturbances from forest dieback, invasive species, and wildfire expand canopy openings that reshape microclimates, their consequences for the timing of spring green-up and fall senescence remain poorly quantified. Leveraging multi-source remote sensing data from 25 sites in the National Ecological Observatory Network (NEON), we evaluated how canopy gaps and their interactions with climate affect phenology across diverse biomes with a Bayesian spatially explicit model. Gaps were associated with earlier spring and later fall phenology in 15 and 18 sites, respectively; tropical seasonal and temperate rainforests showed delays in both seasons, whereas temperate seasonal forests generally advanced spring and delayed fall, and woodland/shrubland advanced spring but exhibited mixed fall responses. At typical average gap sizes (200 to 650 m<sup>2</sup>), spring green-up shifted by -2 to +2 days and autumn senescence by -1 to +5 days, with climate background modulating both magnitude and direction in some sites. Our models also achieved high out-of-sample accuracy (R<sup>2</sup> > 0.5 at 21 of 25 sites for spring and 20 of 25 for fall), highlighting canopy structure as a key driver of spatial variations in phenology. Because canopy structure can be modified through silvicultural practices, these findings provide actionable guidance for climate-resilient forest management.

Authors

Institutions

Publication Details

Journal
Global Change Biology
Published
2026-02-01
DOI
https://doi.org/10.1111/gcb.70749
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Phenological Responses to Canopy Structure Depend on Vegetation Biomes Across the United States

H Chen, Tong Qiu, Yu Wei
Global Change Biology
Remote Sensing in Agriculture
article

Phenological Responses to Canopy Structure Depend on Vegetation Biomes Across the United States

H Chen, Tong Qiu, Yu Wei
article en

Abstract

Land surface phenology is a key indicator of ecosystem responses to global change, but most studies largely emphasized temporal trends, leaving spatial patterns, particularly those shaped by canopy structure, underresolved. As disturbances from forest dieback, invasive species, and wildfire expand canopy openings that reshape microclimates, their consequences for the timing of spring green-up and fall senescence remain poorly quantified. Leveraging multi-source remote sensing data from 25 sites in the National Ecological Observatory Network (NEON), we evaluated how canopy gaps and their interactions with climate affect phenology across diverse biomes with a Bayesian spatially explicit model. Gaps were associated with earlier spring and later fall phenology in 15 and 18 sites, respectively; tropical seasonal and temperate rainforests showed delays in both seasons, whereas temperate seasonal forests generally advanced spring and delayed fall, and woodland/shrubland advanced spring but exhibited mixed fall responses. At typical average gap sizes (200 to 650 m<sup>2</sup>), spring green-up shifted by -2 to +2 days and autumn senescence by -1 to +5 days, with climate background modulating both magnitude and direction in some sites. Our models also achieved high out-of-sample accuracy (R<sup>2</sup> > 0.5 at 21 of 25 sites for spring and 20 of 25 for fall), highlighting canopy structure as a key driver of spatial variations in phenology. Because canopy structure can be modified through silvicultural practices, these findings provide actionable guidance for climate-resilient forest management.

Global Change BiologyVol. 32(2)
Duke University (US)
Climate action
Openalex Percentile: Top 61%
Remote Sensing in Agriculture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.