Global pattern of forest disturbances and its shift under climate change

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 915, P. 170117 - 170117

Published: Jan. 19, 2024

Language: Английский

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Measuring forest health at stand level: A multi-indicator evaluation for use in adaptive management and policy

Ecological Indicators, Journal Year: 2023, Volume and Issue: 150, P. 110225 - 110225

Published: April 20, 2023

Assessments of forest ecosystem health for use in adaptive management need an integrative multi-indicator examination at the stand scale. To assess health, we exained multiple indicators including diversity, age structure, regeneration, and edaphic factors dominant associated tree species their natural habitats. A stratified random cluster sampling strategy was used to gather vegetation samples from five main types Zabarwan Mountain Range—Acacia (ACFT), Broad leaved (BLFT), Oak (OKFT), Pinus wallichiana (PWFT), Scrub (SRFT). The Pearson method canonical correspondence analysis (CCA) were investigate relationship between factors. total 22 found, which 13 exotic 9 native. proportion highest OKFT (85%), followed by BLFT (75%), least (50%) SRFT. type had Shannon diversity while lowest ACFT have significantly higher indexes than other types. Based on density-girth class distribution, & SRFT showed Inverse-J distribution pattern, indicating a stable population structure. species, such as Populus alba BLFT, demonstrated comparatively no whereas Parrotiopsis jacquemontiana SRFT, PWFT, Quercus robur OKFT, Robinia pseudoacacia adequate regeneration performance. Overall pseudoacacia, Prunus cerasifera, Celtis australis, Ailanthus altissima high/sufficient average seedling/tree value all area 2.14, with (3.61) (0.71). In CCA it that forests greatly influenced salinity organic carbon, comparable habitat preferences mutually electrical conductance phosphorus availability. cerasifera only positively available calcium. By combining data numerous field-based into single integrated study, our research will give decision-makers update forest's current anticipated health.

Language: Английский

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Using U-Net-Like Deep Convolutional Neural Networks for Precise Tree Recognition in Very High Resolution RGB (Red, Green, Blue) Satellite Images

Forests, Journal Year: 2021, Volume and Issue: 12(1), P. 66 - 66

Published: Jan. 8, 2021

Very high resolution satellite imageries provide an excellent foundation for precise mapping of plant communities and even single plants. We aim to perform individual tree recognition on the basis very RGB (red, green, blue) images using deep learning approaches northern temperate mixed forests in Primorsky Region Russian Far East. used a pansharpened image by GeoEye-1 with spatial 0.46 m/pixel, obtained late April 2019. parametrized standard U-Net convolutional neural network (CNN) trained it manually delineated solve segmentation problem. For comparison purposes, we also applied pixel-based classification algorithms, such as random forest, k-nearest neighbor classifier, naive Bayes quadratic discrimination. Pattern-specific features based grey level co-occurrence matrices (GLCM) were computed improve ability machine methods. The U-Net-like CNN allowed us obtain Mongolian poplar (Populus suaveolens Fisch. ex Loudon s.l.) evergreen coniferous trees (Abies holophylla Maxim., Pinus koraiensis Siebold & Zucc.). able distinguish species belonging either or groups but unable separate within same group (i.e. A. P. not distinguishable). accuracy was estimated several metrics exceeded values approaches. In contrast does lead increase false-positive decisions when facing green-colored objects that are similar trees. By means CNN, mean score up 0.96 our computational experiments. recognizes crowns set pixels known intensities specific geometry pattern. This CNN’s feature excludes misclassifications related colors interest. highlight utilization suitable phenological season is importance successful recognition. suitability conceptualized conditions providing highlighting interest over other components vegetation cover. case, use captured mid-spring recognize fir pine first class (“conifers”) poplars second class, which leafless state among deciduous species.

Language: Английский

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Modeling Ambitions Outpace Observations of Forest Carbon Allocation

Trends in Plant Science, Journal Year: 2020, Volume and Issue: 26(3), P. 210 - 219

Published: Nov. 7, 2020

Language: Английский

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Evaluating the dendroclimatological potential of blue intensity on multiple conifer species from Tasmania and New Zealand

Biogeosciences, Journal Year: 2021, Volume and Issue: 18(24), P. 6393 - 6421

Published: Dec. 14, 2021

Abstract. We evaluate a range of blue intensity (BI) tree-ring parameters in eight conifer species (12 sites) from Tasmania and New Zealand for their dendroclimatic potential, as surrogate wood anatomical proxies. Using dataset ca. 10–15 trees per site, we measured earlywood maximum (EWB), latewood minimum (LWB), the associated delta (DB) parameter dendrochronological analysis. No resin extraction was performed, impacting low-frequency trends. Therefore, focused only on high-frequency signal by detrending all climate data using 20-year cubic smoothing spline. All BI express low relative variance weak strength compared to ring width. Correlation analysis principal component regression experiments identified variable response most ring-width chronologies. However, sites, EWB data, despite strength, expressed strong coherence with summer temperatures. Significant correlations LWB were also noted, but sign relationship is opposite that reported Northern Hemisphere. DB results mixed performed better Tasmanian sites when combined through methods than Zealand. full multi-species/parameter network, excellent temperature calibration both ranging 52 % 78 explained split periods (1901–1950/1951–1995), equally robust independent validation (coefficient efficiency = 0.41 0.77). Comparison reconstruction quantitative (QWA) shows these record essentially same signal. Despite results, substantial challenge exists capture potential secular-scale Although DB, band-pass, other processing may help this issue, substantially more experimentation needed conjunction comparative density QWA measurements.

Language: Английский

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Detrending tree-ring widths in closed-canopy forests for climate and disturbance history reconstructions

Dendrochronologia, Journal Year: 2024, Volume and Issue: 85, P. 126195 - 126195

Published: March 13, 2024

Language: Английский

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Testing the Radial Increment and Climate–Growth Relationship Between Swiss Stone Pine European Provenances in the Romanian Carpathians

Forests, Journal Year: 2025, Volume and Issue: 16(3), P. 391 - 391

Published: Feb. 22, 2025

Swiss stone pine (Pinus cembra L.) may represent a vital species for afforestation at the upper altitudinal limits of forests due to its adaptability challenging environmental conditions. In this study, we aimed analyze variability in ring width (radial growth, RW, earlywood, EW, latewood, LW, and latewood proportion, LWP) influence different sites on climatic resilience twelve European provenances identify best-adapted provenances. Five from Alps seven Carpathians were tested across two 27-year-old field trials conducted Eastern Southern Carpathians. Moderate genetic differentiation among was noted, which could ensure success breeding programs. Based successfully selected 25% best-performing recommend them use provenance regions where have performed. The significant testing site outcomes necessitate extreme attention during transfer forest reproductive materials. Additionally, strategies applied differed, consisting individual selection Cugir trial Cârlibaba trial. low resistance all shown both trials, particularly trial, is worrying context global warming.

Language: Английский

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Complete historical chronology of complex landslide movements? Improving the tree-ring based results using multidisciplinary approaches

CATENA, Journal Year: 2025, Volume and Issue: 252, P. 108877 - 108877

Published: March 1, 2025

Language: Английский

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Dendroremediation: A sustainable nature-based solution for management of abandoned mining sites and brownfields

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145342 - 145342

Published: March 1, 2025

Language: Английский

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Could Tropical Cyclone Expansion Boost Migration of Temperate Trees to Boreal Forests?

Wiley Interdisciplinary Reviews Climate Change, Journal Year: 2025, Volume and Issue: 16(2)

Published: March 1, 2025

ABSTRACT The poleward expansion of tropical cyclones (TCs) inevitably triggers unprecedented ecological consequences for cool‐temperate and boreal forests, including shifts in species distribution, global carbon dynamics, or forest policies. However, our current understanding the impact TCs' into new regions is limited lacks attention by both, media research community, compared to on (sub‐) forests. Shifts TC activity are expected pose a considerable threat extensive areas globally under climate change. Nevertheless, we suggest that TCs should not only be perceived as destructive weather phenomena but also vehicle (i) facilitating migration temperate southern forests (ii) mitigating change ecosystems. Hence, it vital establish coherent long‐term large‐scale capture unique ongoing (and currently overlooked) processes induced expansion, which may lead complex transition dynamic.

Language: Английский

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