Agricultural and Forest Meteorology, Journal Year: 2025, Volume and Issue: 367, P. 110515 - 110515
Published: March 26, 2025
Language: Английский
Agricultural and Forest Meteorology, Journal Year: 2025, Volume and Issue: 367, P. 110515 - 110515
Published: March 26, 2025
Language: Английский
Nature, Journal Year: 2025, Volume and Issue: unknown
Published: March 19, 2025
Language: Английский
Citations
2Agricultural and Forest Meteorology, Journal Year: 2023, Volume and Issue: 339, P. 109577 - 109577
Published: July 1, 2023
Language: Английский
Citations
23Journal of Hydrology, Journal Year: 2024, Volume and Issue: 630, P. 130694 - 130694
Published: Jan. 24, 2024
Language: Английский
Citations
14Global and Planetary Change, Journal Year: 2024, Volume and Issue: 234, P. 104370 - 104370
Published: Feb. 3, 2024
Language: Английский
Citations
11Agricultural and Forest Meteorology, Journal Year: 2024, Volume and Issue: 348, P. 109933 - 109933
Published: Feb. 16, 2024
Language: Английский
Citations
11Journal of Ecology, Journal Year: 2024, Volume and Issue: 112(5), P. 1123 - 1139
Published: March 18, 2024
Abstract Temporal growth variability is an important indicator of ecosystem function under climate change. However, we still lack a unified understanding how conditions, change (trends and variability), nitrogen (N) deposition, functional traits stand factors together affect radial variability. Using global conifer tree‐ring records (123 species from 1780 sites) during 1970–2010 to calculate variability, assessed abiotic directly indirectly via with boosted regression tree structural equation models, examined the differences among continents (North America, Asia Europe). We found: (a) was mainly affected by warm‐induced drought increased at lower latitudes. Climate warming in winter could decrease but this effect far not enough offset threat hotter drought; (b) there existed trade‐off between fast‐ slow‐growing (drought tolerance) strategies for species, traits. Contrary common conjecture, higher tolerance revealed due their occupation more xeric sites, may also because investment leads less remaining growth; (c) older trees conservative strategy, while large scales, taller showed occupying productive sites; (d) moderate N deposition reduce leading conifers adopt fast‐growing strategy (e.g. Asia), long‐term excessive led North America Synthesis . Our results suggest that coniferous forests water‐limited regions should be vulnerable drought, ‘fast–slow’ key regulating effects various on stability. Moreover, future will severely threaten growth, especially old
Language: Английский
Citations
10Journal of Ecology, Journal Year: 2024, Volume and Issue: 112(3), P. 590 - 612
Published: Jan. 27, 2024
Abstract Climate extremes and biotic interactions at the neighbourhood scale affect tropical forest dynamics with long‐term consequences for biodiversity, global carbon cycling climate change mitigation. However, disturbance may crowding intensity, thus relative contribution of on tree growth, thereby influencing resistance resilience to change. Here, we aim evaluate separate interactive effects neighbours growth in old‐growth disturbed forests. We used 30 years measurements over 300 species from 15 plots French Guiana investigate anomalies (in solar radiation, maximum temperature, vapour pressure deficit climatic water deficit) individual growth. Contrasting selectively logged forests, also examined how history affects sensitivity neighbours. Finally, most abundant 100 species, evaluated role 12 functional traits pertaining relations, light use mediating anomalies, their interactions. tied heat drought stress independently reduced showed positive which attenuated Their were stronger than undisturbed Fast‐growing (i.e. higher intrinsic rates) more forests sensitive crowding. Traits related captured sensitivities different levels but weak predictors Synthesis : Our results demonstrate that can interact shape suggesting considering context improve predictions facing altered regimes. Furthermore, capture neighbours, better representing leading dimensions strategies offers a promising way towards understanding underlying ecological mechanisms govern dynamics.
Language: Английский
Citations
9Global Change Biology, Journal Year: 2024, Volume and Issue: 30(3)
Published: March 1, 2024
Wood density is a fundamental property related to tree biomechanics and hydraulic function while playing crucial role in assessing vegetation carbon stocks by linking volumetric retrieval mass estimate. This study provides high-resolution map of the global distribution wood at 0.01° (~1 km) spatial resolution, derived from four decision trees machine learning models using database 28,822 tree-level measurements. An ensemble top-performing combined with eight cross-validation strategies shows great consistency, providing patterns pronounced heterogeneity. The pattern lower values northern northwestern Europe, Canadian forest regions slightly higher Siberia forests, western United States, southern China. In contrast, tropical regions, especially wet areas, exhibit high density. Climatic predictors explain 49%-63% variations, followed characteristics (25%-31%) edaphic properties (11%-16%). Notably, leaf type (evergreen vs. deciduous) habit (broadleaved needleleaved) are most dominant individual features among all selected predictive covariates. tends be for angiosperm broadleaf compared gymnosperm needleleaf trees, particularly evergreen species. distributions categorized types have good agreement observed quantifying can help improve accurate predictions stocks, deeper insights into ecosystem functioning cycling such as vulnerability thermal stresses context future climate change.
Language: Английский
Citations
9Forest Ecosystems, Journal Year: 2025, Volume and Issue: unknown, P. 100292 - 100292
Published: Jan. 1, 2025
Language: Английский
Citations
1Global Change Biology, Journal Year: 2023, Volume and Issue: 29(17), P. 4826 - 4841
Published: June 21, 2023
Abstract Climate change‐triggered forest die‐off is an increasing threat to global forests and carbon sequestration but remains extremely challenging predict. Tree growth resilience metrics have been proposed as measurable proxies of tree susceptibility mortality. However, it unclear whether can improve predictions stand‐level Here, we use extensive tree‐ring dataset collected at ~3000 permanent inventory plots, spanning 13 dominant species across the US Mountain West, where experienced strong drought has observed in past two decades, test hypothesis that explain We found substantial increases variability temporal autocorrelation well declining resistance for a number over second half 20th century. Declining low were strongly associated with cross‐ within‐species patterns Resilience had similar explicative power compared climate stand structure, covariance structure among predictors implied effect on mortality could partially be explained by variables. conclude offers highly valuable insights physiology integrating stressors may only moderate potential large‐scale projections under change.
Language: Английский
Citations
22