Remote sensing reveals inter‐ and intraspecific variation in riparian cottonwood (Populus spp) response to drought DOI Creative Commons
Megan Seeley, Benjamin C. Wiebe, Catherine A. Gehring

et al.

Journal of Ecology, Journal Year: 2025, Volume and Issue: unknown

Published: May 16, 2025

Abstract Understanding how vegetation responds to drought is fundamental for understanding the broader implications of climate change on foundation tree species that support high biodiversity. Leveraging remote sensing technology provides a unique vantage point explore these responses across and within species. We investigated interspecific two Populus ( P . fremontii , angustifolia ) their naturally occurring hybrids using leaf‐level visible through shortwave infrared (VSWIR; 400–2500 nm) reflectance. As F 1 backcross with either species, resulting in range genotypes, we heretofore refer collectively as ‘cross types’. additionally explored intraspecific variation P. response at leaf canopy levels reflectance data thermal unmanned aerial vehicle (UAV) imagery. employed several analyses assess genotype‐by‐environment (G × E) interactions concerning drought, including principal component analysis, vector machine spectral similarity index. Five key findings emerged: (1) Spectra all three cross types shifted significantly drought. The magnitude reaction norms can be ranked from hybrids> > suggesting differential drought; (2) Spectral space among constricted under indicating spectral—and phenotypic—convergence; (3) Experimentally, populations cool regions had different than warm regions, source population mean annual temperature driving direction VSWIR (4) UAV imagery revealed watered, warm‐adapted maintained lower temperatures retained more leaves cool‐adapted populations, but differences retention decreased when droughted. (5) These are consistent patterns local adaptation stress, demonstrating ability spectra detect ecological evolutionary function environments. Synthesis. Leaf‐level spectroscopy canopy‐level captured inter‐ water stress cottonwoods, which widely distributed arid This study demonstrates potential monitor predict impacts scales varying landscapes.

Language: Английский

Remote sensing reveals inter‐ and intraspecific variation in riparian cottonwood (Populus spp) response to drought DOI Creative Commons
Megan Seeley, Benjamin C. Wiebe, Catherine A. Gehring

et al.

Journal of Ecology, Journal Year: 2025, Volume and Issue: unknown

Published: May 16, 2025

Abstract Understanding how vegetation responds to drought is fundamental for understanding the broader implications of climate change on foundation tree species that support high biodiversity. Leveraging remote sensing technology provides a unique vantage point explore these responses across and within species. We investigated interspecific two Populus ( P . fremontii , angustifolia ) their naturally occurring hybrids using leaf‐level visible through shortwave infrared (VSWIR; 400–2500 nm) reflectance. As F 1 backcross with either species, resulting in range genotypes, we heretofore refer collectively as ‘cross types’. additionally explored intraspecific variation P. response at leaf canopy levels reflectance data thermal unmanned aerial vehicle (UAV) imagery. employed several analyses assess genotype‐by‐environment (G × E) interactions concerning drought, including principal component analysis, vector machine spectral similarity index. Five key findings emerged: (1) Spectra all three cross types shifted significantly drought. The magnitude reaction norms can be ranked from hybrids> > suggesting differential drought; (2) Spectral space among constricted under indicating spectral—and phenotypic—convergence; (3) Experimentally, populations cool regions had different than warm regions, source population mean annual temperature driving direction VSWIR (4) UAV imagery revealed watered, warm‐adapted maintained lower temperatures retained more leaves cool‐adapted populations, but differences retention decreased when droughted. (5) These are consistent patterns local adaptation stress, demonstrating ability spectra detect ecological evolutionary function environments. Synthesis. Leaf‐level spectroscopy canopy‐level captured inter‐ water stress cottonwoods, which widely distributed arid This study demonstrates potential monitor predict impacts scales varying landscapes.

Language: Английский

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