Local site conditions reduce interspecific differences in climate sensitivity between native and non-native pines

Agricultural and Forest Meteorology, Journal Year: 2023, Volume and Issue: 341, P. 109694 - 109694

Published: Sept. 1, 2023

Language: Английский

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Linking remotely sensed growth-related canopy attributes to interannual tree-ring width variations: A species-specific study using Sentinel optical and SAR time series

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2025, Volume and Issue: 221, P. 347 - 362

Published: Feb. 20, 2025

Language: Английский

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Interspecific Responses to Fire in a Mixed Forest Reveal Differences in Seasonal Growth

Forests, Journal Year: 2025, Volume and Issue: 16(4), P. 633 - 633

Published: April 5, 2025

Despite recurring episodes of fire exacerbated by climate change, post-fire dynamics in trees remain to be fully understood. In a mixed forest northern Mexico that experiences frequent fires, we aimed determine how tree growth responds surface examining earlywood (EW) and latewood (LW) responsiveness, as well their connection with canopy activity, using UAV-acquired NDVI data. We compared EW LW from mini cores burned unburned (n = 100) across four species, correlating this data 33 UAV monthly flights at the individual level 2021 2023. Our results identified Quercus durifolia Seemen species presented highest following exposure fire. Arbutus arizonica (A. Gray) Sarg. was most affected terms production immediately after burning but showed benefits subsequent summers. Juniperus deppeana Steud. demonstrated adaptive plasticity responding more quickly fire, notable EW. Pinus engelmannii Carrière responded 2023, its associated least extent seasonal growth. Thus, there is an evident response subjected low-intensity which can act shape stand habitat. However, divergence between broadleaf evergreen could attributed fire-adaptive traits hydraulic strategies. Although combining tree-ring served improve our understanding effects further research required.

Language: Английский

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Incorporating high-resolution climate, remote sensing and topographic data to map annual forest growth in central and eastern Europe

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 913, P. 169692 - 169692

Published: Dec. 29, 2023

To enhance our understanding of forest carbon sequestration, climate change mitigation and drought impact on ecosystems, the availability high-resolution annual growth maps based tree-ring width (TRW) would provide a significant advancement to field. Site-specific characteristics, which can be approximated by Earth observation satellites (EOS), emerge as crucial drivers growth, influencing how translates into tree growth. EOS provides information surface reflectance related characteristics thus potentially improve accuracy models TRW. Through modelling TRW using EOS, topography data, we showed that species-specific explain up 52 % model variance (Quercus petraea), while combining different species results in relatively poor performance (R

Language: Английский

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Radial growth, wood anatomical traits and remote sensing indexes reflect different impacts of drought on Mediterranean forests

Forest Ecology and Management, Journal Year: 2023, Volume and Issue: 548, P. 121406 - 121406

Published: Sept. 15, 2023

Drought reduces canopy cover, productivity and tree growth in forests. However, there is still little knowledge on how drought affects coupling between greenness assessed by remote sensing hydraulic conductivity detected wood anatomy. This combination could improve the understanding of forest response to climate change. Thus, we investigated impacts a hot drought, which occurred summer 2017, radial growth, earlywood diameter (Dh), proxy conductivity, several remote-sensing indices mixed Mediterranean hardwood forests (Quercus pubescens Willd. – Fraxinus ornus L.). In general, showed higher coherence among trees responsiveness climate. Growth decreased during year, particularly for Q. pubescens, high defoliation dieback intensity. Both species decline Dh 2018 after subsequent warm winter conditions. We found positive relationships data some these vulnerable sites, where (i) was constrained dry spring-summer conditions (ii) covaried. These findings indicate variability sites their responses considering anatomy, cover water content. common patterns emerge such as links potential Dh-growth covariation most impacted sites. Further, F. seem perform better terms under conditions, showing less mortality than pubescens. Future studies explore transport changes respond if that indicates vulnerability drought.

Language: Английский

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Shifting climatic responses of tree rings and NDVI along environmental gradients

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 908, P. 168275 - 168275

Published: Nov. 3, 2023

Language: Английский

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Cutting the Greenness Index into 12 Monthly Slices: How Intra-Annual NDVI Dynamics Help Decipher Drought Responses in Mixed Forest Tree Species

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(2), P. 389 - 389

Published: Jan. 18, 2024

We studied the correspondence between historical series of tree-ring width (TRW) and normalized difference vegetation index (NDVI, i.e., greenness index) values acquired monthly over an entire year by unmanned aerial vehicles. Dendrochronological techniques revealed differentiated responses species seasonality. Pinus engelmannii Carrière Juniperus deppeana Steudel were affected warm temperatures (TMAX) during winter prior to growth benefited from precipitation (PP) seasons spring period. The standardized precipitation–evapotranspiration (SPEI) confirmed high sensitivity P. drought (r = 0.7 SPEI). Quercus grisea Liebm. presented a positive association with PP at beginning end its season. Monthly NDVI data individual tree level in three (NDVI ~0.37–0.48) statistically temporal differences. Q. showed drastic decrease dry season 0.1) that had no impact on same period, according climate-TRW relationship. conclude relationship is plausible crown radial growth, although more extended windows should be explored. Differences susceptibility found among would presumably have implications for composition these forests under scenarios.

Language: Английский

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Vegetation Index Research on the Basis of Tree-Ring Data: Current Status and Prospects

Forests, Journal Year: 2023, Volume and Issue: 14(10), P. 2016 - 2016

Published: Oct. 8, 2023

The normalized difference vegetation index (NDVI) and tree-ring parameters are commonly used indicators in the research on forest ecology responses to climate change. This paper compiles analyzes literature basis of information past 20 years provides an overview relationship between NDVI, as well NDVI reconstruction. based data is mainly concentrated middle high latitudes, relatively few studies low latitudes. have a strong correlation with summer. In terms reconstruction Sabina przewalskii tree longest sequence so far, width main proxy index. addition, combining rings useful for assessing decline, quantifying response drought, monitoring productivity. future, it necessary consider variety environmental factors find optimal model construction carry out growth historical at large spatial scales.

Language: Английский

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Short-Term Tree-Ring Series of Pinus hartwegii Lindl. Taken at Ground Level Correlate to Normalized Difference Vegetation Index Series

Forests, Journal Year: 2024, Volume and Issue: 15(2), P. 324 - 324

Published: Feb. 8, 2024

In this work, we propose that small wood core samples (≤10 cm length), taken from 0.3 m above the soil, represent an accurate means of correlating forest growth with remote sensing data. Short-term correlations between Normalized Difference Vegetation Index (NDVI) and tree-ring components last three to four decades were tested, using 210 Pinus hartwegii cores collected at two locations, Tláloc (TLA) Jocotitlán (JOCO) in central Mexico. The NDVI time series generated Google Earth Engine (GEE) Landsat 8 images. Also, seasonal trends (e.g., spring, summer, autumn, winter) analyzed through longitudinal analysis. results showed more statistically significant dendrochronological indices TLA than JOCO, but both locations consistently decrease 2018 2020, indicating a reduction vegetation vigor. At minimum maximum occurred April October, respectively. Seasonal changes for spring mainly seen decreasing trend, which may be related less defined dry season. (p < 0.05) season, productivity given year is by tree vigor shown May, case TLA, January March, JOCO. Although values JOCO higher those growth, expressed indices, was lower. Our proposed field method correlate information reliable can used other coniferous forests.

Language: Английский

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Identification of optimal Sentinel-1 SAR polarimetric parameters for forest monitoring in Czechia

AUC GEOGRAPHICA, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: Dec. 3, 2024

Time series analysis of synthetic aperture radar data (SAR) offers a systematic, dynamic and comprehensive way to monitor forests. The main emphasis this study is on the identification most suitable best performing Sentinel-1 SAR polarimetric parameters for forest monitoring. This accomplished through: 1) pairwise correlation parameters, multispectral optical vegetation indices ancillary data, 2) univariate binary time classification differentiation between types 3) visual exploration series. For purpose, 600 validated broad-leaved coniferous areas in Czechia were used. Nine different examined, including VH VV polarizations, VV/VH VH/VV polarization ratios, Radar Vegetation Index, Forest Degradation index original modified versions dual index. revealed that derived functions each other with nearly identical behavior (r > |0.96|). strongest r ~0.50 features was found VH/VV. highest overall accuracy achieved by (76%), while VV, it higher than 60%. Furthermore, these showed seasonal behaviors both types. These results demonstrated high relevance using VH, monitoring compared parameters. also introduces novel pipeline generate multi-modal datasets Google Earth Engine (MMTS-GEE), used analysis. MMTS-GEE combines spatially temporally aligned extended topographic weather land cover class label. Its versatility enables its use analyses, intercomparisons machine learning applications tabular data. GEE code proposed tool freely available research community.

Language: Английский

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