Higher site productivity and stand age enhance forest susceptibility to drought-induced mortality

Agricultural and Forest Meteorology, Journal Year: 2023, Volume and Issue: 341, P. 109680 - 109680

Published: Aug. 26, 2023

Warmer and drier conditions increase forest mortality worldwide. At the same time, nitrogen deposition, longer growing seasons higher atmospheric CO2 concentrations may site productivity accelerating growth. However, tree physiological studies suggest that increased can also have adverse effects, reducing adaptation to drought. Understanding such intricate interactions might foster is essential for designing activities policies aimed at preserving forests ecosystem services they provide. This study shows how factors stand features affect susceptibility of Scots pine drought-induced stand-level mortality. We use extensive data covering 750,000 ha, including 47,450 managed stands, which 2,547 were affected by during drought in 2015–2019. found oldest most dense stands on productive sites showed highest enhanced Our findings increasing accelerate intensity prevalence Therefore, climate change mortality, particularly old high-productive forests. Such exacerbated should be considered carbon sink projections, management, designed resilience protect ecosystems.

Language: Английский

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Verification of the Scots Pine (Pinus sylvestris L.) Crown Length Model

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(6), P. 3124 - 3124

Published: March 13, 2025

One of the key modeling procedures is model verification, which ensures its reliability and confidence. In many respects, length crown an interesting biophysical property. Precise determination can be one components used in estimating mass needles or leaf area index (LAI), consequently amount transpiration carbon dioxide bound, crucial context climate change. The objective this study was to calculate Pinus sylvestris using allometric compare these results with actual ones establish degree discrepancy. that tested based on three predictor variables, i.e., diameter at breast height, tree stand density index. verification carried out empirical data collected for 300 sample trees 20 experimental plots located south-western Poland. All stands were pine monocultures habitats fresh mixed forest aged from 28 40 years. studied differed terms (0.68–1.81). comparison between (CLemp) calculated (CLcal) mean lengths expressed by correlation coefficient’, R = 0.955, a divergence (±) 4.57%. dedicated calculating crowns population level. uses index, constant value all within area. Further work needed improve allow precise calculation single tree, taking into account space it has disposal.

Language: Английский

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Maximum Potential Age of Pondcypress Hydrologic Indicators Using Diameter at Breast Height

Limnological Review, Journal Year: 2025, Volume and Issue: 25(1), P. 9 - 9

Published: March 20, 2025

In the absence of long-term hydrologic records, field-measured indicators are useful for inferring past wetland conditions, which can support research, regulation, and restoration. Inflection points on buttresses pondcypress trees (Taxodium ascendens) frequently used in west-central Florida to estimate cypress high water levels, known as normal pool. However, little is about how this indicator develops. A method tree age using diameter at breast height was developed pondcypress, be by forested managers constrain maximum potential groups trees. This model applied a waterbody with complex history alterations. The had two distinct populations buttress inflection elevations, corresponding historic versus current level regimes. represents one first documented instances literature where showed multiple soil subsidence. work underscores need consider development timelines when interpreting meaning elevations.

Language: Английский

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Radial growth models for Pedunculate Oak in the Baltics, Latvia

Ecological Modelling, Journal Year: 2025, Volume and Issue: 506, P. 111161 - 111161

Published: May 3, 2025

Language: Английский

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Effect of the interaction between user experience and hypsometer type on the uncertainty of ground-based tree height measurement

Forestry An International Journal of Forest Research, Journal Year: 2025, Volume and Issue: unknown

Published: April 26, 2025

Abstract The ground-based measurement of tree height is a basic routine to collect data for estimating volume, biomass and carbon content in forest ecosystems. It can be assumed that user experience the applied hypsometer introduce level uncertainty these measurements which yet not fully understood. main goal present study was evaluate impact two levels (novice experienced) commonly used types hypsometers (analog Suunto ultrasonic Vertex) on accuracy precision measurement. experiment included total 609 18 individual silver fir trees, performed by 198 operators who had been classified as novice three experienced. relative absolute percentage error each calculated introducing straightforward efficient method determining reference based projecting apex ground. A mixed-model approach employed control additional factors, including height, lean magnitude direction terrain slope. found none exhibited substantial bias. However, influenced interaction between type hypsometer. Novice users tended slightly biased (−1.7%) 2.5–3.5 times less precise than experienced when using either Vertex or Sunnto

Language: Английский

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Tree height, growth rate and stand density determined by ALS drive probability of Scots pine mortality

Ecological Indicators, Journal Year: 2022, Volume and Issue: 145, P. 109643 - 109643

Published: Nov. 11, 2022

Understanding how particular stand factors shape patterns of forest mortality is crucial for supporting management as well creating appropriate adaptation strategies in the era climate change. Until recently, many characteristics such tree height, height increment, and density were measured by traditional field methods. However, current use remote sensing tools opens up new possibilities monitoring measurements. Thus, research objective was to assess influence selected variables measurable ALS—top top density—on probability Scots pine stands' mortality. We focus on Katowice region southern Poland, which experienced extensive drought-induced 2015–2021. For this area, we acquired data from two ALS acquisitions determine density. found that most strongly driven growth rate. Moreover, highest observed densest stands. Through identification a core set predispose forests mortality, work can inform future structure under accelerated Bitemporal allows brief overview increment trends over large regions. Therefore, detecting using help us vulnerability disturbance provide an effective approach early detection stress signs.

Language: Английский

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Assessment of the effect of stand density on the height growth of Scots pine using repeated ALS data

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2022, Volume and Issue: 108, P. 102763 - 102763

Published: April 1, 2022

The spread of remote sensing technologies allows for continuous and precise mapping forest ecosystem attributes over large areas. One the most important a is site productivity, an essential determinant resource availability. Knowledge productivity crucial sustainable management because it basis predictions future growth fundamental to long-term planning in forestry. Models dynamics allow us better understand functioning ecosystems assess provision services. However, discussions on factors affecting are ongoing. Previous research has not clarified influence stand density height increment trees. Consequently, this uncertainty leads inconsistent nonoptimal forest-management decisions. We aimed analyse effect top (TH) development TH model Scots pine based bitemporal ALS measurements. applied repeated observations from two acquisitions (2011, 2019) fit density-sensitive model. found that affected pine. A higher stimulated growth, particularly productive sites showing about 10%. demonstrated usefulness measurements developing considering density. predictive accuracy increased when was considered.

Language: Английский

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Predicting the growth suitability of Larix principis-rupprechtii Mayr based on site index under different climatic scenarios

Frontiers in Plant Science, Journal Year: 2023, Volume and Issue: 14

Published: Feb. 2, 2023

Larix principis-rupprechtii Mayr (larch) is one of the main afforestation and timber production species used in North China. Climate change has led to a its suitable distribution growth. However, impact climate on growth suitability not clear. In this study, using forest resource inventory data spatially continuous environmental factor (temperature, precipitation, topography, soil) Hebei Shanxi Provinces, China, random model (RF) was simulate larch site index (SI) under three shared socioeconomic pathways (SSPs: SSP1-2.6, SSP2-4.5, SSP5-8.5) for current future (2021-2040, 2041-2060 2080-2100). The results revealed that (1) RF had excellent performance predicting regional SI (R2 = 0.73, MAE 0.93 m, RMSE 1.35 m); (2) factors affecting productivity were mean temperature warmest quarter (BIO10), elevation (ELEV), diurnal range (BIO2), annual precipitation (BIO12); (3) currently higher Bashang areas high-altitude mountains. characterized as unsuitable, poorly suitable, moderately highly accounted 15.45%, 42.12%, 31.94%, 10.49% total area, respectively. (4) Future warming an obvious inhibitory effect SI, strengthened with increasing radiation intensity year. (5) showed downward trend scenarios. By end century, would decrease by 14.14% 15.17% 19.35% SSP5-8.5. suitability, which can provide scientific basis management.

Language: Английский

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Dynamic height growth models for highly productive pedunculate oak (Quercus robur L.) stands: explicit mapping of site index classification in Serbia

Annals of Forest Science, Journal Year: 2024, Volume and Issue: 81(1)

Published: March 26, 2024

Abstract Key message We applied the generalized algebraic difference approach (GADA) to develop dynamic models of height growth for pedunculate oak ( Quercus robur L.) in Serbia. According dominant heights, studied region comprises some Europe’s most productive sites oak. Therein, we have generated a map showing current site index class stands. Such could be used enhance forest management and evaluate climate change impacts. Context Although sustainable requires reliable prediction productivity, such indicators are currently unavailable The (SI) curves represent commonly indirect scale productivity classification. equations derived by Generalized Algebraic Difference Approach state-of-the-art modeling, but they not been widely studying dynamics Aims main objectives this study were first Serbia subsequently provide stand-level maps with predicted indices. Methods tested five flexible polymorphic variable asymptotes GADA approach. Models calibrated using artificially established trajectories obtained from 3636 detailed temporary sample plots. selection suitable model was accomplished according (1) quantitative measures goodness fit, (2) analysis residual scattering, (3) biological plausibility curves. Results After correcting error terms continuous first-order autoregressive structure conducting three-stage performance analysis, Hossfeld base equation shows best overall properties. Insight into oscillations relative suggested that 100 years is age referencing. Comparison existing revealed greater flexibility considerably better representation region. Additionally, produced spatially explicit expected SI 1907 stands within 22 units. Conclusion Dynamic SI-curves based on will serve practitioners update plans as reference point benchmarking impact developing adaptation strategies. utilized allowed unbiased estimation across all classes so results mapped at broader scale. This provides second known application Europe includes species distribution range.

Language: Английский

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Ecoregional Variation of Crimean Pine (Pinus nigrasubspeciespallasiana[Lamb.] Holmboe) Stand Growth

Forest Science, Journal Year: 2022, Volume and Issue: 68(5-6), P. 452 - 463

Published: Aug. 21, 2022

Abstract Investigation and numerical determination of the effects ecologically different regions on forest growth are important issues to be considered for sustainable management. In this study, differences in patterns Crimean pine (Pinus nigra subsp. pallasiana [Lamb.] Holmboe) stands among ecoregions located Kastamonu region northwestern Turkey were investigated. For purpose, stand-level models dominant height, number trees, basal area, volume fitted using data from 274 sample plots 293 stem analysis even-aged, pure, productive stands. The nonlinear extra sum squares method graphical examinations revealed that characteristics these affected by ecoregional differences. Ecoregion-based models, which more flexible have ability reflect patterns, found superior regional models. Applying general without any classification resulted biases 5.3%, 23.1%, 5.5%, 6.2% estimates stands, respectively. results showed ecological must studies modeling

Language: Английский

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