Tree species composition governs urban phenological responses to warming

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: April 18, 2025

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 trees driven by local species composition. Yet, the extent which composition influences urbanization remains poorly understood. To address this, we combine manipulative experiments, satellite-derived phenology data, georeferenced tree occurrence records. Our findings show that, across Northern Hemisphere cities, in temperature sensitivity of spring areas largely urban-rural variation composition, surpassing effects preseason temperature. This pattern is particularly pronounced Asian where exhibit 0.74 ± 0.24 days/°C higher areas. In-depth analyses using experiments high-resolution satellite imagery from Beijing further demonstrate species-specific urbanization, with urban-dominant exhibiting compared ones. These that both interspecific contribute impact on patterns. study underscores importance considering when warming, especially contexts.

Language: Английский

---

Mapping Spatial Heterogeneity of Non-Structural Carbohydrates in Haloxylon ammodendron Using Remote Sensing in Extreme Desert Environments

Plant Stress, Journal Year: 2025, Volume and Issue: unknown, P. 100790 - 100790

Published: March 1, 2025

Language: Английский

---

Phenological Spatial Divergences Promoted by Climate, Terrain, and Forest Height in a Cold Temperate Forest Landscape: A Case Study of the Greater Khingan Mountain in Hulun Buir, China

Forests, Journal Year: 2025, Volume and Issue: 16(3), P. 490 - 490

Published: March 11, 2025

Vegetation phenology has attracted considerable attention as one of the most sensitive indicators global climate change. Remote sensing significantly expanded our understanding spatial divergences vegetation phenology. However, current reasons behind is not yet complete, and there an urgent need to unravel landscape processes driving In light this, present study focused on montane forests cold temperate zone its area, collecting datasets such MCD12Q2 land surface product, climate, topography, stand height adopting regression analysis geo-detector model investigate individual interactive effects variables temperature, precipitation, elevation, slope, aspect, forest The results indicated that because complexity impacts temperature were nonlinear. With fluctuation development occurred later at base ridges mountain earlier in valley bottom lands mid-upper slopes. Temperature precipitation exhibited a bilaterally strong effect with slope greenup. Both greenup dormancy shady slopes sunny There may also exist between topographic factors Future research focus whether trade-off or synergy macroclimatic regulatory function topography microclimatic canopy structure.

Language: Английский

---

Monitoring Autumn Phenology in Understory Plants with a Fine-Resolution Camera

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(6), P. 1025 - 1025

Published: March 15, 2025

Autumn phenology plays a crucial role in shaping the capacity for carbon sequestration. However, understories, vital yet often neglected ecosystem component, have complicated autumn prediction. We address challenge of monitoring understory phenological dynamics by using UVL4 trail camera and selecting appropriate deriving processes vegetation indices (VIs). found photoperiod was on average 1.88 h shorter than canopy’s, while temperature 2.11 °C higher canopy’s open-air temperature. The maximum inside understories 1.37 lower conditions. Specifically, 60% quantile daily VI July 15% November effectively captured prolonged minimum time series when applying logistic modeling. excess green index (ExG) outperformed other VIs estimating greenness change. cold degree days model (CDD) low-temperature multiplicative (TPM) revealed that senescence progressed from upper crown downwards, causing over 13 lag understory. These findings offer new perspective quantifying subtropical forests provide insights into asynchronous changes vertical microclimatic gradients Earth system models.

Language: Английский

---

Below the leaves: Integrating above‐ and below‐ground phenology for earth‐system predictability

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

Published: April 28, 2025

Abstract Almost every aspect of biological systems has phenology—a pattern in activity or function linked to annual cycles. Most terrestrial phenology research focusses on leaves, the onset leaf out senescence. This is easiest measure and most obvious form phenology. Nonetheless, leaves are far from only with seasonal dynamics. Seasonal patterns both above‐ below‐ground across varying traits organs matter for global cycles water, carbon other nutrients as well interactions between species. Through plasticity resource allocation trophic interactions, phenological events not always synchronous, but do have dependencies different organisms, below‐ground. However, functional traits, organisms harder parameterise than so represented more abstractly vegetation components land surface models used predict future planet. In this perspective, we ask following: What know about whole system plants soil heterotrophs, how these coupled together? Can make predictions coupling its flexibility through their environmental characteristics? How can couplings best be tested under real conditions? We challenge field generate data that allows decoupling our changing Read free Plain Language Summary article Journal blog.

Language: Английский

---

Advancements in Monitoring Tree Phenology Under Global Change: A Comprehensive Review

Forests, Journal Year: 2025, Volume and Issue: 16(5), P. 771 - 771

Published: April 30, 2025

This comprehensive review explores recent advancements in monitoring tree phenology the context of global change. As climate change continues to alter ecosystems worldwide, understanding has become increasingly crucial for predicting ecological responses and informing conservation strategies. examines traditional ground-based observation methods, highlights their strengths limitations, discusses integration modern technologies such as remote sensing, digital cameras, sensor networks. Special attention is given role citizen science initiatives expanding phenological data collection. also addresses challenges posed by monitoring, including shifting patterns complexities. Furthermore, it applications research, ecosystem management, biodiversity conservation. The paper concludes identifying future directions emerging that promise revolutionize emphasizing need interdisciplinary collaboration standardized methodologies enhance our a rapidly changing world.

Language: Английский

---

Performance evaluation and improvement of ICESat-2 and GEDI forest canopy height retrievals in Northeast China

GIScience & Remote Sensing, Journal Year: 2025, Volume and Issue: 62(1)

Published: May 4, 2025

Language: Английский

---

Estimating canopy leaf angle from leaf to ecosystem scale: a novel deep learning approach using unmanned aerial vehicle imagery

New Phytologist, Journal Year: 2025, Volume and Issue: unknown

Published: May 10, 2025

Summary Leaf angle distribution (LAD) impacts plant photosynthesis, water use efficiency, and ecosystem primary productivity, which are crucial for understanding surface energy balance climate change responses. Traditional LAD measurement methods time‐consuming often limited to individual sites, hindering effective data acquisition at the scale complicating modeling of canopy variations. We present a deep learning approach that is more affordable, efficient, automated, less labor‐intensive than traditional estimating LAD. The method uses unmanned aerial vehicle images processed with structure‐from‐motion point cloud algorithms Mask Region‐based convolutional neural network. Validation single‐leaf using manual measurements across three species confirmed high accuracy proposed ( Pachira glabra : R 2 = 0.87, RMSE 7.61°; Ficus elastica 0.91, 6.72°; Schefflera macrostachya 0.85, 5.67°). Employing this method, we efficiently measured leaf angles 57 032 leaves within 30 m × plot, revealing distinct among four representative tree species: Melodinus suaveolens (mean inclination 34.79°), Daphniphyllum calycinum (31.22°), Endospermum chinense (25.40°), Tetracera sarmentosa (30.37°). can estimate scales, providing critical structural information vegetation modeling, including species‐specific strategies their effects on light interception photosynthesis in diverse forests.

Language: Английский

---

Seasonal Fluctuations and Vertical Heterogeneity of Biochemical-Structural Parameters in Wetland Emergent Aquatic Vegetation

Plant Phenomics, Journal Year: 2024, Volume and Issue: 6

Published: Jan. 1, 2024

Accurate understanding of vertical patterns canopy structure characteristics and solar radiation distribution aquatic vegetation is pivotal in formulating a bidirectional reflection model comprehending the ecological dynamics wetlands. Further, physiological biochemical stratified structural properties wetlands remain unexplored due to more inherent investigation challenges than terrestrial vegetation. This study evaluated communities regulation direct variations within across seasons

Language: Английский

---

Microclimate regulates when autumn leaves fall

Nature Climate Change, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 14, 2024

Language: Английский

---