Vitality Assessment of Visually Healthy Trees in Estonia

Allikmäe, Eneli; Laarmann, Diana; Korjus, Henn

doi:10.3390/f8070223

Cited by 17 publications

(8 citation statements)

References 13 publications

(16 reference statements)

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“…Compared to traditional field work and laboratory measurement methods [35][36][37], tree vitality classification by remote sensing is a relatively new and challenging task, especially at the single tree level. Within our experiment, the infrared imagery features contributed more than point cloud features, which could be induced from Table 2.…”

Section: Discussionmentioning

confidence: 99%

Mapping Individual Tree Species and Vitality along Urban Road Corridors with LiDAR and Imaging Sensors: Point Density versus View Perspective

Yao

Polewski

2018

Remote Sensing

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To meet a growing demand for accurate high-fidelity vegetation cover mapping in urban areas toward biodiversity conservation and assessing the impact of climate change, this paper proposes a complete approach to species and vitality classification at single tree level by synergistic use of multimodality 3D remote sensing data. So far, airborne laser scanning system(ALS or airborne LiDAR) has shown promising results in tree cover mapping for urban areas. This paper analyzes the potential of mobile laser scanning system/mobile mapping system (MLS/MMS)-based methods for recognition of urban plant species and characterization of growth conditions using ultra-dense LiDAR point clouds and provides an objective comparison with the ALS-based methods. Firstly, to solve the extremely intensive computational burden caused by the classification of ultra-dense MLS data, a new method for the semantic labeling of LiDAR data in the urban road environment is developed based on combining a conditional random field (CRF) for the context-based classification of 3D point clouds with shape priors. These priors encode geometric primitives found in the scene through sample consensus segmentation. Then, single trees are segmented from the labelled tree points using the 3D graph cuts algorithm. Multinomial logistic regression classifiers are used to determine the fine deciduous urban tree species of conversation concern and their growth vitality. Finally, the weight-of-evidence (WofE) based decision fusion method is applied to combine the probability outputs of classification results from the MLS and ALS data. The experiment results obtained in city road corridors demonstrated that point cloud data acquired from the airborne platform achieved even slightly better results in terms of tree detection rate, tree species and vitality classification accuracy, although the tree vitality distribution in the test site is less balanced compared to the species distribution. When combined with MLS data, overall accuracies of 78% and 74% for tree species and vitality classification can be achieved, which has improved by 5.7% and 4.64% respectively compared to the usage of airborne data only.

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Section: Discussionmentioning

confidence: 99%

Mapping Individual Tree Species and Vitality along Urban Road Corridors with LiDAR and Imaging Sensors: Point Density versus View Perspective

Yao

Polewski

2018

Remote Sensing

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“…To estimate the exact borders of Heterobasidion genets more accurate sampling would be required (excavated root systems). Still, the observed effectiveness of RotResist may be successfully applied in combination with other, less resource-consuming root rot detection methods at an earlier age, such as non-destructive resistography [41] or assessment during inoculation experiments [15].…”

Section: Selection Methodsmentioning

confidence: 99%

Pinus sylvestris Breeding for Resistance against Natural Infection of the Fungus Heterobasidion annosum

Rieksts-Riekstiņš

Zeltiņš

Baliuckas

et al. 2019

Forests

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Increasing resistance against biotic and abiotic factors is an important goal of forest tree breeding. The aim of the present study was to develop a root rot resistance index for Scots pine breeding and evaluate its effectiveness. The productivity, branch diameter, branchiness, stem straightness, spike knots, and damage from natural infection of root rot in 154 Scots pine open-pollinated families from Latvia were evaluated through a progeny field trial at the age of 38 years. Trees with decline symptoms were sampled for fungal isolations. Based on this information and kriging estimates of root rot, 35 affected areas (average size: 108 m 2 ; total 28% from the 1.5 ha trial) were delineated. Resistance index of a single tree was formed based on family adjusted proportion of live to infected trees and distance to the center of affected area. Heritability for resistance to root rot based on the value of this index, was high (0.37) and comparable to indices of growth traits. Correlations of family breeding estimates between resistance to root rot and the other traits were not significant, except for a weak, yet significant, positive correlation with diameter at breast height and branch diameter. Selection index including only growth traits (height and stem volume) had a negligible effect on damage by root rot. We detected a maximum genetic gain in resistance index of 33.7% when incorporating it into the selection index with positive gains for growth traits (6.5-11.0%). Two-stage selection with prior selection of the most resistant families was not superior to the use of selection index with only rot resistance included. Overall; rot resistance index appeared to be an effective tool in tree breeding for the selection of more resistant families, using the existing trials with natural (uncontrolled) infection

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“…The economic loss due to this fungal complex was estimated to be ~ 800 million euros per year in Europe already 20 years ago (Asiegbu et al 2005), which should amount to about 1.2 billion euros as of 2020, given the present-day monetary value. Diseased Norway spruce are di cult to detect, as the infected tree might not necessarily show any visible signs of symptoms (Allikmäe et al 2017). Clearcutting is vastly creating new propagation sites for H. parviporum.…”

Section: Introductionmentioning

confidence: 99%

Genetic variation of Picea abies in response to the artificial inoculation of Heterobasidion parviporum

Durodola

Blumenstein

Terhonen

2022

Preprint

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Norway spruce Picea abies is one of Europe's most economically important tree species. However, it is highly susceptible to the root rot fungus Heterobasidion parviporum. Climate change will benefit the pathogen as the tree host is weakened by, e.g., extended drought. Breeding can improve forest health, and several root rot genetic markers are suggested to improve the resistance of Norway spruce. This study aimed to compare the resistance (here defined as necrosis length) of Norway spruce families and genotypes against two strains of H. parviporum under different water availabilities. Our results show that the family and the genotype within have an impact on the necrosis length that is related to the aggressiveness of the fungal strains. Under low water conditions, the necrosis increased only in horizontal directions in phloem and sapwood. Similarly, the growth was not disturbed by abiotic stress (less water), indicating that the stress level (drought) was too low in this setting. The knowledge gained in this study could improve forest health in the changing climate by understanding the response of Norway spruce to pathogenic attacks under additional stress at the family level. This knowledge could be strategically used in forest breeding to improve the resistance of Norway spruce trees against root rot.

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Vitality Assessment of Visually Healthy Trees in Estonia

Cited by 17 publications

References 13 publications

Mapping Individual Tree Species and Vitality along Urban Road Corridors with LiDAR and Imaging Sensors: Point Density versus View Perspective

Mapping Individual Tree Species and Vitality along Urban Road Corridors with LiDAR and Imaging Sensors: Point Density versus View Perspective

Pinus sylvestris Breeding for Resistance against Natural Infection of the Fungus Heterobasidion annosum

Genetic variation of Picea abies in response to the artificial inoculation of Heterobasidion parviporum

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