Canopy composition drives variability in urban growing season length more than the heat island effect.

High-resolution remote sensing Phenology Urban heat island

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
01 Aug 2023
Historique:
received: 16 02 2023
revised: 24 04 2023
accepted: 25 04 2023
medline: 26 6 2023
pubmed: 1 5 2023
entrez: 30 4 2023
Statut: ppublish

Résumé

The elevated heat of urban areas compared to their surroundings makes humid temperate cities a useful preview of future climate effects on natural forest phenology. The utility of this proxy rests on the expectation that trees in urban areas alter their phenology in response to warmer site conditions in spring and fall. However, it is possible that apparent lengthening of the growing season is instead governed by human-driven tree species selection and plant functional type (PFT; trees, shrubs, turfgrass) heterogeneity typical of managed landscapes. Without the use of highly spatially and temporally resolved remote sensing data, the roles of tree taxonomy and local site characteristics (e.g., impervious cover) in controlling phenology remain confounded. To understand the drivers of earlier start of season (SOS) and later end of season (EOS) among urban trees, we estimated individual tree phenology using >130 high-resolution satellite images per year (2018-2020) for ~10,000 species-labeled trees in Washington, DC. We found that species identity alone accounted for 4× more variability in the timing of SOS and EOS compared with a tree's planting location characteristics. Additionally, the urban mix of PFTs may be more responsible for apparent advances in SOS (by between 1.8 ± 1.3 and 3.5 ± 1.3 days) than heat per se. The results of this study caution against associating longer growing seasons in cities-observed in moderate to coarse resolution remote sensing imagery-to within-species phenological plasticity and demonstrate the power of high-resolution satellite data for tracking tree phenology in biodiverse environments.

Identifiants

pubmed: 37121316
pii: S0048-9697(23)02439-7
doi: 10.1016/j.scitotenv.2023.163818
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

163818

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest Authors declare that they have no competing interests.

Auteurs

Michael Alonzo (M)

Department of Environmental Science, American University, Washington, DC 20016, USA. Electronic address: alonzo@american.edu.

Matthew E Baker (ME)

Department of Geography & Environmental Systems, University of Maryland, Baltimore County, Baltimore, MD 21250, USA.

Joshua S Caplan (JS)

Department of Architecture and Environmental Design, Temple University, Ambler, PA 19002, USA.

Avery Williams (A)

Department of Environmental Science, American University, Washington, DC 20016, USA.

Andrew J Elmore (AJ)

Appalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, MD 21532, USA.

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