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Forest canopy height is a fundamental ecosystem property-influencing patterns of forest carbon storage and forest ecosystem responses to climate variability and change. Previous studies have analyzed environmental drivers influencing spatial variation in canopy height at landscape-to-regional scales; however, far less is known about the environmental determinants underlying regional and global scale variation in forest canopy height. Using the canopy height metrics products from Global Ecosystem Dynamics Investigation (GEDI), a space-borne Light Detection and Ranging (LiDAR) instrument specifically designed to characterize forest structure, we analyze the environmental correlates of spatial variation of global tropical forest canopy height. Our study demonstrates that climate, topography, and soil properties account for 75% of the variation in tropical forest canopy height. Elevation, dry season length, and solar radiation are the most important drivers in determining canopy height both locally and regionally. These results emphasize the vulnerability of tropical forest structure to ongoing changes in the earth's climate and provide a valuable empirical baseline for tropical forest management.
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http://dx.doi.org/10.1073/pnas.2401755122 | DOI Listing |
Front Plant Sci
August 2025
Chinese Academy of Agriculture Mechanization Sciences Group Co., Ltd., Beijing, China.
Intercropping maize and soybean with distinct plant heights is a typical practice in diversified cropping systems, where shadows cast by taller maize plants onto soybean rows pose significant challenges for image based recognition. This study conducted experiments throughout the entire soybean-maize intercropping period to address illumination variation. Based on the height difference between crops, solar elevation angle, and light intensity at the top of the soybean canopy, an illumination compensation regression model was developed.
View Article and Find Full Text PDFAbove-ground biomass contributes a large proportion of mangrove carbon stock; however, spatio-temporal dynamics of biomass are poorly understood in carbonate settings of the Southern Hemisphere. This influences the capacity to accurately project the effects of accelerating sea-level rise on this important carbon store. Here, above-ground biomass and productivity dynamics were quantified across mangrove age zones dominated by , spanning a tidal gradient atop a reef platform at Low Isles, Great Barrier Reef, Australia.
View Article and Find Full Text PDFEnviron Manage
September 2025
Public Works Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.
Forest landscapes play a significant role in both global and local carbon cycles, mitigating climate change by sequestering atmospheric carbon. To maintain carbon stock and enhance sequestration from the atmosphere, it is important to quantify the effects of driving factors on carbon stock. Therefore, this study was designed to evaluate the effects of storing factors, maintaining factors, and disturbing factors on carbon stock, and to analyze the individual and combined effects of multiple factors.
View Article and Find Full Text PDFEcol Evol
September 2025
Scientific Services Zimbabwe Parks and Wildlife Management Authority Harare Zimbabwe.
Bats are essential to ecosystem functioning, providing vital services such as pollination, seed dispersal, and insect control. With over 1400 species worldwide, they exhibit diverse roosting behaviors that are influenced by both natural and anthropogenic factors. However, research on bat populations, particularly in urban environments, remains limited in Nigeria.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
July 2025
State Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.
To clarify the mechanism of evapotranspiration in desert steppe, we investigated the evapotranspiration and its components in the shallow mountainous area of the Qilian Mountains with five methods, including eddy covariance, lysimeter, and Priestley-Taylor (P-T), Penman-Monteith (P-M), and Shuttleworth-Wallace (S-W) models. We further analyzed the multi-timescale characteristics of evapotranspiration and its components in the Qilian Mountains, and the influencing factors. The results showed that the eddy covariance method was more accurate than the lysimeter.
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