Effects of Climate Change on Scots Pine (Pinus sylvestris L.) Growth across Europe: Decrease of Tree-Ring Fluctuation and Amplification of Climate Stress

Forests, Journal Year: 2024, Volume and Issue: 15(1), P. 91 - 91

Published: Jan. 3, 2024

From an economic perspective, Scots pine (Pinus sylvestris L.) is one of Europe’s most important tree species. It characterized by its wide ecological adaptability across natural range. This research aimed to evaluate the forest structure, productivity and especially radial growth heterogenous stands in 16 plots Czech Republic, Poland, Spain Great Britain. The study assessed tree-ring formation relationship climate change for each country, using 163 dendrochronological samples. stand volume mature ranged between 91 510 m3 ha−1, carbon sequestration biomass was 40–210 t ha−1. had a prevailing random distribution trees, with high vertical structure close selection forests (forest typical very diverse height, diameter age structure). Spectral analyses showed substantial decrease fluctuations index loss cyclicity last thirty years. results also evinced that mean air temperature factor influencing compared precipitation totals. Pine thrives precipitation-stable locations, as shown from conclusions this confirm fundamental effect ongoing global on dynamics Europe.

Language: Английский

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Vertical and horizontal structure of Scots pine (Pinus sylvestris L.) stands in the central part of the Russian Plain

E3S Web of Conferences, Journal Year: 2025, Volume and Issue: 623, P. 01023 - 01023

Published: Jan. 1, 2025

The study analyses the vertical and horizontal structure of Pineta composita hylocomiosa forest type groups in centre Russian Plain. It was found that terms heights diameters first tier stands is closer to normal distribution more ‘boreal’ sites. In southern pine forests, large deviations from are observed. revealed closeness relationship between Pinus sylvestris L. range 0.45 - 0.61. This explained by close preserved trees parcellar upper tier. shown second depends on age stands. has been established at present Plain characterised processes nemoralisation, which also associated with climate transformation. As a result, many cases there change main species, primarily shade-tolerant species: Tilia cordata Mill. Acer platanoides regularities can be used combine inventory data order obtain information formation lower tiers under canopy phytocenoses.

Language: Английский

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Monitoring the species composition of the undergrowth in some regions of Armenia and central Russia

BIO Web of Conferences, Journal Year: 2024, Volume and Issue: 113, P. 04009 - 04009

Published: Jan. 1, 2024

Changes in the species composition of tree undergrowth, tasks preserving biodiversity clearing areas and under influence climate change, are theoretical practical scientific interest. The main goal this study was to monitor diversity dominant undergrowth forests some regions Armenia central Russia conditions change human activity. In Armenia, research carried out Lori Tavush regions. Russia, Kostroma Moscow regions, located center Russian Plain. studies were using route, semi-stationary, stationary methods generally accepted methods. Field work during growing seasons from 2019 2023. surveys most typical forest types for region, 14 families identified, which include region - 11 families. For all objects study, largest number contains Rosaceae family. factors influencing understory activities (logging, recreational impacts, etc.) change. Thus, changes system future create new risks sustainability biological forests.

Language: Английский

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Diameter distributions in Pinus sylvestris L. stands: evaluating modelling approaches including a machine learning technique

Journal of Forestry Research, Journal Year: 2023, Volume and Issue: 34(6), P. 1829 - 1842

Published: June 2, 2023

Abstract The diameter distribution of trees in a stand provides the basis for determining stand’s ecological and economic value, its structure stability appropriate management practices. Scots pine ( Pinus sylvestris L.) is one most common important conifers Turkey, so well-planned schedule critical. Diameter models to accurately describe help improve strategies, but developing reliable requires deep understanding growth, output constraints forests. information derived by primary data on horizontal each class trees: basal area volume per unit area. These predictions are required estimate range products predicted yield from forest stand. Here, construct an accurate, model natural stands Türkmen Mountain region, we used Johnson’s S B represent empirical distributions using ground-based measurements 55 sample plots that included 1219 zones As alternative, nonparametric approach, which does not require any predefined function, artificial intelligence was constructed based support vector machine methodology. An error index calculated evaluate results. Overall, both probability density function with three-parameter recovery approach regression methodology provided estimates these stands.

Language: Английский

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The growing dynamic of scots pine (Pinus sylvestris L.) stands in the Moscow Region

AIP conference proceedings, Journal Year: 2024, Volume and Issue: 3184, P. 020045 - 020045

Published: Jan. 1, 2024

Language: Английский

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Justification of irrigation reclamation using data on the probability of heat and moisture in the Central Non-Chernozem Zone of Russia

BIO Web of Conferences, Journal Year: 2024, Volume and Issue: 113, P. 04002 - 04002

Published: Jan. 1, 2024

Ongoing climate change creates risks for many sectors of the economy. They can have a particularly strong impact on agriculture, since amount incoming heat and moisture is one most important factors in agricultural production. The main goal this study was to analyzed provision humidity by indicators, temperature more than 10 °C, sum during growing season, differences temperatures evaporation, humidification coefficients justify need irrigation measures. calculations were carried out that is, when positive values average daily air recorded. In all calculations, observational data from V.A. Mikhelson Meteorological Observatory (in Moscow) used 30 years (period 1993 2022). central part Non-Chernozem Zone Russia according such indicators as season greater precipitation difference between evaporation G.T. Selyaninov hydrothermal coefficient, D.I. Shashko coefficient natural moisture. analysis assessment supply territory attitude fruit crops drought demonstrate moisten root layer soil even zones excessive moisture, there are separate periods with insufficient uneven atmospheric

Language: Английский

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Modelling the form factor of Pinus sylvestris trees in the Kostroma region, Russia

BIO Web of Conferences, Journal Year: 2024, Volume and Issue: 126, P. 01032 - 01032

Published: Jan. 1, 2024

The paper considers the issue of using stem taper to model form factor pine tree trunks in Kostroma region. It has been determined that diameter values predicted by can be used establish taxation characteristics trunks. Based on results field work and archival data, 10064 measurements were obtained at various heights for 689 trees growing quality application calculating was assessed metrics generally accepted statistics based data from analysis established use considered main indicators forests region will help increase accuracy determining stock forest range important scientific research.

Language: Английский

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Ontogenetic structure of woody plant coenopopulations in ripe pine stands of Moscow city

Povolzhskiy Journal of Ecology, Journal Year: 2024, Volume and Issue: 4, P. 471 - 486

Published: Dec. 23, 2024

The results of our study the ontogenetic structure cenopopulations woody plants on 16 permanent sample plots in mature pine forests located Moscow are presented. For first time, a cenopopulation approach was used to assess regenerative capacity tree species dendrocenoses conditions region. examined areas stands which representative spectra considered, namely: Pinus sylvestris L., Acer platonoides Tilia cordata Mill., Ulmus laevis Pall., Corulys avellana L. Analysis number trees and shrubs lower tiers (undergrowth understory) their occurrence carried out. P. has right-sided age spectrum with predominance individuals generative state is regressive under these conditions, since pregenerative completely absent. A. , U. C. characterized as effectively self-sustaining, while T. moderately selfsustaining. Based study, most populations studied were established be incomplete due absence certain states plants. A significant part have bimodal spectrum. formation generation cycles broad-leaved explained by presence sufficient open – “gaps”. It noted that young fairly mortality rate before they reach influence external intracoenotic factors. composition undergrowth understory showed set shrub vegetation included 12 species.

Language: Английский

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Structural transformation of pine formations in urbanized ecosystems of Moscow

Vestnik of Orenburg State Pedagogical University Electronic Scientific Journal, Journal Year: 2023, Volume and Issue: 46, P. 74 - 88

Published: Jan. 1, 2023

Аннотация.В статье рассмотрена трансформация структуры формаций, протекающая на различных стадиях онтогенеза сосны фоне воздействия факторов внешней среды.Лесные экосистемы Москвы подвержены комплексному воздействию внешних факторов.Сосновые формации г.Москвы выполняют важные водоохранно-защитные, средообразующие и ряд других функций.Целью исследования стало изучение трансформации сосновых формаций для определения тенденций развития экосистем под влиянием комплексного негативных факторов.Исследования проводились в спелых насаждениях пределах г.Москвы.Выделены три группы

Language: Русский

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Dynamic growth model for oak stands in Moscow, Russia

E3S Web of Conferences, Journal Year: 2023, Volume and Issue: 462, P. 02033 - 02033

Published: Jan. 1, 2023

The most objective information about the state of Moscow’s forests is provided by long-term observation data on permanent trial plots. Such makes it possible to identify changes in forest stands under influence recreationists, environmental pollution, and climate change. Long-term observational are particularly valuable modeling stand growth productivity. goal study develop a dynamic model oak Moscow based data. modelling were obtained from 7 plots sample plot network established Forest Experimental Station Russian State Agrarian University – Timiryazev Agricultural Academy. There total 42 inventories number per range 3 9. Inventories carried out between 1927 2009. We used three initial variables for prediction, as many studies. Taking into account peculiarities inventory Russia, mean height, quadratic diameter trees hectare variables. All models meet requirements Russia terms error values attributes. this provides simple reliable system predicting yield stands.

Language: Английский

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