Mapping forest canopy fuel parameters at European scale using spaceborne LiDAR and satellite data

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 303, P. 114005 - 114005

Published: Jan. 30, 2024

Spatially explicit data on forest canopy fuel parameters provide critical information for wildfire propagation modelling, emission estimations and risk assessment. LiDAR observations enable accurate retrieval of the vertical structure vegetation, which makes them an excellent alternative characterising structures. In most cases, parameterisation has been based Airborne Laser Scanning (ALS) observations, are costly best suited local research. Spaceborne acquisitions overcome limited spatiotemporal coverage airborne systems, as they can cover much wider geographical areas. However, do not continuous data, requiring spatial interpolation methods to obtain wall-to-wall information. We developed a two-step, easily replicable methodology estimate entire European territory, from Global Ecosystem Dynamics Investigation (GEDI) sensor, onboard International Space Station (ISS). First, we simulated GEDI pseudo-waveforms discrete ALS about plots. then used metrics derived mean height (Hm), (CC) base (CBH), national inventory reference. The RH80 metric had strongest correlation with Hm all types (r = 0.96–0.97, Bias −0.16-0.30 m, RMSE 1.53–2.52 rRMSE 13.23–19.75%). A strong was also observed between ALS-CC GEDI-CC 0.94, −0.02, 0.09, 16.26%), whereas weaker correlations were obtained CBH 0.46, 0 0.89 39.80%). second stage generate maps continent Europe at resolution 1 km using GEDI-based estimates within-fuel polygons covered by footprints. available some (mainly Northern latitudes, above 51.6°N). these estimated random regression models multispectral SAR imagery biophysical variables. Errors higher than direct retrievals, but still within range previous results 0.72–0.82, −0.18-0.29 3.63–4.18 m 28.43–30.66% Hm; r 0.82–0.91, 0, 0.07–0.09 10.65–14.42% CC; 0.62–0.75, 0.01–0.02 0.60–0.74 19.16–22.93% CBH). Uncertainty provided grid level, purpose considered individual errors each step in methodology. final outputs, publicly (https://doi.org/10.21950/KTALA8), estimation three modelling crown fire potential demonstrate capacity improve characterisation models.

Language: Английский

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Modelling individual tree height–diameter relationships for multi-layered and multi-species forests in central Europe

Trees, Journal Year: 2018, Volume and Issue: 33(1), P. 103 - 119

Published: Sept. 19, 2018

Language: Английский

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A Nonlinear Mixed-Effects Height-to-Diameter Ratio Model for Several Tree Species Based on Czech National Forest Inventory Data

Forests, Journal Year: 2019, Volume and Issue: 10(1), P. 70 - 70

Published: Jan. 17, 2019

Height-to-diameter at breast height (DBH) ratio (HDR) is an important tree and stand stability measure. Several factors such as dynamics, natural anthropogenic disturbances, silvicultural tending significantly affect HDR, and, therefore, in-depth investigation of HDR essential for better understanding ecological processes in a forest. A nonlinear mixed-effects model applicable to several species was developed using the Czech national forest inventory data comprising 13,875 sample plots 348,980 trees. The predictive performance this evaluated independent dataset which originated from 25,146 trees on 220 research plots. Among various tree- stand-level variables describing size, site quality, development stage, density, inter-tree spacing, competition evaluated, dominant (HDOM), diameter (DDOM), relative spacing index (RS), DBH-to-quadratic mean DBH (dq) were identified most predictors variations. random component plot-specific variations included through modelling, dummy species-specific canopy layer-specific also into variable modelling. explained 79% without any significant trends residuals. Simulation results showed that each layer increased with increasing quality stage (increased HDOM) RS, decreased DDOM dq). Testing revealed more than 85% described individual (Norway spruce, Scots pine, European larch, beech) group (fir species, oak birch alder species) prediction errors. can be predicted higher accuracy calibrated measurements its obtained routine inventories. To improve accuracy, needs effects estimated one four randomly selected particular or depending availability their numbers per plot. applied assessment density regulation. information useful designing management diagram. Brief implications silviculture strategies planning are presented article.

Language: Английский

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Species Mixing Effects on Height–Diameter and Basal Area Increment Models for Scots Pine and Maritime Pine

Forests, Journal Year: 2019, Volume and Issue: 10(3), P. 249 - 249

Published: March 12, 2019

Models that incorporate known species-mixing effects on tree growth are essential tools to properly design silvicultural guidelines for mixed-species stands. Here, we developed generalized height–diameter (h-d) and basal area models mixed stands of two main forest species in Spain: Scots pine (Pinus sylvestris L.) Maritime pinaster Ait.). Mixed-effects were fitted from plot measurement rings data 726 693 trees pure the Northern Iberian Range Spain, with primary objective representing interactions between where they interspersed mixtures varying proportions. An independent dataset was used test performance h-d against previously monospecific both species. Basal increment evaluated using a 10-fold block cross-validation procedure. We found mixing had contrasting models. In models, proportion determined effect interactions. showed interspecific competition influential only pine; however, these differed depending mode competition. For pine, not restricted by interspecies The combination mixed-effect inclusion parameters expressing enhanced estimates height compared available Although successfully represented additional model components accurately simulating stand dynamics other require similar refinements. Upon completion analyses required refinements, degree improvement mixtures, including different management options, can be evaluated.

Language: Английский

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Importance and potential of Scots pine (Pinus sylvestris L.) in 21^st century

Central European Forestry Journal, Journal Year: 2023, Volume and Issue: 69(1), P. 3 - 20

Published: March 1, 2023

Abstract We are currently witnessing significant global changes in climate conditions. cannot change the natural conditions, but with regard to sustainable landscape management, we can increase our knowledge of tree species and adapt forest management them. Surprisingly, one most affected Central Europe today is Scots pine ( Pinus sylvestris L.). The following literature review summarizes over 200 studies from 1952–2022 regarding across its entire range while addressing various topics ecology this taxon. It a large range, nearly covering Eurasian area. In Czech Republic, it second important terms industrial wood production. characterized not only by genetic variability populations also wide ecological plasticity. Typically, grows on sandy soils, poor habitats, stony scree–but peat bogs. habitat valence justifies economic significance species, both high production potential (mean annual increment up 10.8 m 3 ha -1 yr ) use. However, light variations, practices silviculture gradually transforming traditional reforestation clear-cutting more system–shelterwood felling. view change, distribution changing, as other remains very resistant depending habitat.

Language: Английский

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Effect of thinning regimes on growth and development of crop trees in Fagus sylvatica stands of Central Europe over fifty years

Dendrobiology, Journal Year: 2018, Volume and Issue: 79, P. 141 - 155

Published: May 25, 2018

Crop trees are the main component of qualitative and value production forest stands.Therefore, stand density crop is one most important information items for comparing different management strategies in forestry.Although number per hectare their productivity influenced by various factors, thinning can be among them.This article aims to compare growth development European beech (Fagus sylvatica L.) stands, which have been managed three types over 50 years: heavy from below, free-crown without (or control).The measurements assessments were made using essential criteria (best stem quality, diameter height dimensions, regularity spacing) every four or five years during years.More than 9,000 with ages ranging 30 105 on 23 sample plots across Slovakia analyzed.The highest was reached a where applied.The proportion subplots crown 61% basal area 66% merchantable volume at age 100 years.However, much lower proportions found below (32% 32%) control (20% 21%), respectively.The subplots, freecrown applied, showed significantly higher values other quantitative characteristics (e.g., increment, height-diameter ratio, width) those two (low control).Based results systematic investigation after years, recommended selective forests.

Language: Английский

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Nonlinear mixed-effects height to crown base model based on both airborne LiDAR and field datasets for Picea crassifolia Kom trees in northwest China

Forest Ecology and Management, Journal Year: 2020, Volume and Issue: 474, P. 118323 - 118323

Published: July 6, 2020

Language: Английский

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Generalized Nonlinear Mixed-Effects Individual Tree Diameter Increment Models for Beech Forests in Slovakia

Forests, Journal Year: 2019, Volume and Issue: 10(5), P. 451 - 451

Published: May 24, 2019

Individual tree growth and yield models precisely describe irrespective of stand complexity are capable simulating various silvicultural alternatives in the stands with diverse structure, species composition, management history. We developed both age dependent independent diameter increment using long-term research sample plot data collected from monospecific mixed European beech (Fagus sylvatica L.) Slovak Republic. used at breast height (DBH) as a main predictor other characteristics describing site quality (site index), development stage (dominant age), density or competition (ratio individual DBH to quadratic mean diameter), mixture (basal area proportion interest), dummy variable regimes covariate predictors develop models. evaluated eight versatile functions first single selected most suitable one, i.e., Chapman-Richards function for further analysis through inclusion predictors. introduced random components plot-level effects stochastic variations on increment, into mixed-effects modelling. The autocorrelation caused by hierarchical data-structure, which is assumed be partially reduced modelling, was removed parameter accounting autoregressive error-structures. described about two-third parts total variation without significant trends residuals. Compared model (conditional coefficient determination, R c 2 = 0.6566; root square error, RMSE 0.1196), significantly larger ( 0.6796, 0.1141). Diameter influenced differently included decreased advancement (increased dominant increasing intraspecific basal per plot), increased index) ratio diameter). Our models, can easily localized estimated prior measurement increments four randomly trees plot, will provide high prediction accuracies. may its structural complexity, these have variables tree-and stand-level characteristics, thinning regimes, except climate characteristics. Together forest our inputs simulator future, important decision-making forestry.

Language: Английский

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Quantification of forest carbon flux and stock uncertainties under climate change and their use in regionally explicit decision making: Case study in Finland

AMBIO, Journal Year: 2023, Volume and Issue: 52(11), P. 1716 - 1733

Published: Aug. 12, 2023

Uncertainties are essential, yet often neglected, information for evaluating the reliability in forest carbon balance projections used national and regional policy planning. We analysed uncertainties net biome exchange (NBE) stocks under multiple management climate scenarios with a process-based ecosystem model. Sampled initial state values, model parameters, harvest levels global models (GCMs) served as inputs Monte Carlo simulations, which covered forests of 18 regions mainland Finland over period 2015-2050. Under individual scenarios, results revealed time- region-dependent variability magnitude uncertainty mean values NBE projections. The main sources varied time, by region amount harvested wood. Combinations representative concentration pathways GCMs, parameters were at beginning, while dominated end simulation period, combined GCMs especially north. Our regionally explicit analysis was found useful approach to reveal potentials reach related, future target level NBE, is important when planning realistic fair actions.

Language: Английский

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Comparing crown ratio models for spruce-fir broadleaved mixed forests using beta regression and random forest algorithm

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 225, P. 109302 - 109302

Published: Aug. 9, 2024

Language: Английский

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