Drivers of site productivity for oak in Poland

Viet, Hoang Duong Xo; Tymińska-Czabańska, Luiza; Socha, Jarosław

doi:10.12657/denbio.088.006

Cited by 6 publications

(3 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Numerous studies have shown that growth modelling, especially on a regional scale, provides information for a more accurate assessment of forest growth and should be an important component of regional forest planning and management (Coops et al, 2007;Coops et al, 2010;Socha et al, 2020b). Variability in growth dynamics can lead to differences in height growth trajectories due to local variations in climate, soils and genotype-environment interactions (Viet et al, 2022). Thus, regional variation in growth trajectories can lead to inappropriate estimates of site productivity (Socha et al, 2021b).…”

Section: Discussionmentioning

confidence: 99%

Development of regional height growth model for Scots pine using repeated airborne laser scanning data

Janiec,

Tymińska-Czabańska,

Hawryło

et al. 2023

Front. Environ. Sci.

Self Cite

View full text Add to dashboard Cite

The rapid development of remote sensing technologies is creating unprecedented opportunities for monitoring and inventorying forest ecosystems. One advantage of remote sensing data is that it can be used to monitor and measure tree growth in near real-time, providing extremely useful data for growth modelling. This study used Aerial Laser Scanning (ALS) data from 14,920 Scots pine stands for the Katowice Regional Directorate of State Forests in southwestern Poland. We tested the possibility of calibrating a regional height growth model for Scots pine for a study area covering 754 thousands of hectares of forests. The model was validated with models developed for Scots pine using the traditional approach based on field data. Our results show that the model calibrated using remote sensing data does not differ significantly from the model calibrated using traditional field measurements from stem analysis. What is more, using a model developed from ALS data gives even better accuracy in modelling height growth than a traditional model calibrated with ground data. Our results are promising for the application of repeated ALS data to the development of regional height growth models, allowing long-term prediction of tree growth under current climatic conditions.

show abstract

Section: Discussionmentioning

confidence: 99%

Development of regional height growth model for Scots pine using repeated airborne laser scanning data

Janiec,

Tymińska-Czabańska,

Hawryło

et al. 2023

Front. Environ. Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Therefore, evaluating these factors within a model is necessary (Zangiabadi et al, 2021). Normally, EVs, including climate, temperature, precipitation, soil pH, clay, sand, silt, bulk density, nitrogen in soil, soil organic carbon, topography, altitude, slope, and the normalized difference vegetation index (NDVI), are considered in species distribution (Dubuis et al, 2013;Oyebanji et al, 2021;Viet et al, 2022).…”

Section: Environmental Variablesmentioning

confidence: 99%

Influence of environmental factors on habitat of <em>Jasminum subtriplinerve</em> in Central Vietnam

Tan,

Lam,

Duc

et al. 2024

Multidiscip. Sci. J.

View full text Add to dashboard Cite

Jasminum subtriplinerve, a rare and valuable medicinal plant, is facing the problem of habitat loss. This study was conducted to determine the influences of environmental factors on the distribution and identify habitat suitability areas for this species in Central Vietnam. Based on the 19 bioclimatic, 10 soil properties, 3 topographic variables and 86 observed locations, we used Correlation Analysis processing, follow by the Maximum entropy (MaxEnt) algorithm was applied to predict the spatial potential distribution of J. subtriplinerve. Using the MaxEnt model for analyzing the J. subtriplinerve distribution showed a good performance (AUC testing = 0.821 and AUC training = 0.887). The most influential factors on J. subtriplinerve distribution were Altitude (49.2%), Mean diurnal range (10.6%), Isothermality (6.9%), Bulk density (5.2%), Normalized difference vegetation index (4.7%) and Proportion of sand particles (4.6%). In addition, the model showed that very high and high potential habitat areas of J. subtriplinerve occupied 3.17% (658.88 km2) and 8.95% (1,858.56 km2) of the studied site, distributed in the midland and low mountainous areas, the most suitable Altitude ranged from 8.1 to 138.7 m. Meanwhile, 15.17%, 18.10% and 54.60% of the studied site were nominated as moderate (3,148.93 km2) low (3,758.10 km2), and very low (11,334.17 km2) potential habitat areas, respectively. This study comprehensively evaluated factors affecting habitat suitability, therefore, these results provide an understanding of the bioecological distribution of J. subtriplinerve guiding the identification of optimal areas for cultivation and conservation.

show abstract

“…Forest ecosystems, which cover one-third of the world's land area and encompass more than 24.6 million square kilometers, are crucial for global ecosystem services and carbon cycling, particularly under the influence of climate change (Viet et al, 2022). These ecosystems, predominantly temperate and boreal forests, consist of diverse deciduous and coniferous trees that are well-adapted to a broad range of environmental conditions, especially in terms of temperature and precipitation (Tasenkevich et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Metabolic niches in the rhizosphere microbiome: dependence on soil horizons, root traits and climate variables in forest ecosystems

Maitra,

Hrynkiewicz,

Szuba

et al. 2024

Front. Plant Sci.

View full text Add to dashboard Cite

Understanding belowground plant-microbial interactions is important for biodiversity maintenance, community assembly and ecosystem functioning of forest ecosystems. Consequently, a large number of studies were conducted on root and microbial interactions, especially in the context of precipitation and temperature gradients under global climate change scenarios. Forests ecosystems have high biodiversity of plants and associated microbes, and contribute to major primary productivity of terrestrial ecosystems. However, the impact of root metabolites/exudates and root traits on soil microbial functional groups along these climate gradients is poorly described in these forest ecosystems. The plant root system exhibits differentiated exudation profiles and considerable trait plasticity in terms of root morphological/phenotypic traits, which can cause shifts in microbial abundance and diversity. The root metabolites composed of primary and secondary metabolites and volatile organic compounds that have diverse roles in appealing to and preventing distinct microbial strains, thus benefit plant fitness and growth, and tolerance to abiotic stresses such as drought. Climatic factors significantly alter the quantity and quality of metabolites that forest trees secrete into the soil. Thus, the heterogeneities in the rhizosphere due to different climate drivers generate ecological niches for various microbial assemblages to foster beneficial rhizospheric interactions in the forest ecosystems. However, the root exudations and microbial diversity in forest trees vary across different soil layers due to alterations in root system architecture, soil moisture, temperature, and nutrient stoichiometry. Changes in root system architecture or traits, e.g. root tissue density (RTD), specific root length (SRL), and specific root area (SRA), impact the root exudation profile and amount released into the soil and thus influence the abundance and diversity of different functional guilds of microbes. Here, we review the current knowledge about root morphological and functional (root exudation) trait changes that affect microbial interactions along drought and temperature gradients. This review aims to clarify how forest trees adapt to challenging environments by leveraging their root traits to interact beneficially with microbes. Understanding these strategies is vital for comprehending plant adaptation under global climate change, with significant implications for future research in plant biodiversity conservation, particularly within forest ecosystems.

show abstract

Drivers of site productivity for oak in Poland

Cited by 6 publications

References 61 publications

Development of regional height growth model for Scots pine using repeated airborne laser scanning data

Development of regional height growth model for Scots pine using repeated airborne laser scanning data

Influence of environmental factors on habitat of <em>Jasminum subtriplinerve</em> in Central Vietnam

Metabolic niches in the rhizosphere microbiome: dependence on soil horizons, root traits and climate variables in forest ecosystems

Contact Info

Product

Resources

About