Investigation of Hungarian forest health condition with special respect to climate change

2014 ◽  
Vol 3 (2) ◽  
pp. 164-176
Author(s):  
Zoltán Pödör ◽  
László Kolozs ◽  
György Solti ◽  
László Jereb
Keyword(s):  
Monitoring Program ◽  
Forest Health ◽  
Health Condition ◽  
Forest Monitoring ◽  
National Forest ◽  
Forest Protection ◽  
Significant Relationships ◽  
Time Period ◽  
Special Respect ◽  
Crown Dieback

The defoliation and crown dieback data of trees are typical indicators of forest health condition. In Hungary the data are collected in the frame of the national forest monitoring program and based on Forest Protection Network from 1987. In the paper these two data lines are investigated: (i) trend analysis was performed in respect of the examined time period according to different criteria, (ii) the relationships between healthy features and basic and derived climatic variables were examined by correlation analysis. The paper gives a general overview of the Hungarian forest health condition. Detectable general trends and statistically significant relationships are defined for all examined species and for 12 groups (subsets) of species. The received general results help us to determine further directions of deeper and more detailed investigations.

scholarly journals Area-Wide Analysis of Hardwood Defoliator Effects on Tree Conditions in the Allegheny Plateau

2004 ◽  
Vol 21 (1) ◽  
pp. 31-39 ◽  
Author(s):  
Randall S. Morin ◽  
Andrew M. Liebhold ◽  
Kurt W. Gottschalk
Keyword(s):  
Tree Mortality ◽  
Forest Health ◽  
National Forest ◽  
Forest Land ◽  
Land Area ◽  
Usda Forest Service ◽  
Forest Inventory And Analysis ◽  
Allegheny Plateau ◽  
Using Data ◽  
Crown Dieback

Abstract The effects of defoliation caused by three foliage feeding insects, the gypsy moth (Lymantria dispar), the cherry scallopshell moth (Hydria prunivorata), and the elm spanworm (Ennomos subsignarius), on tree mortality and crown conditions were evaluated using data collected from 1984 to 1999 in the Allegheny National Forest located in northwestern Pennsylvania. While previous studies have focused on the effects of defoliation on trees in individual stands, this study differed in that it used exhaustive maps of defoliation and an areawide network of plots to assess these effects. A geographic information system was used to map the coincidence of USDA Forest Service Forest Inventory and Analysis and Forest Health Monitoring plot locations with defoliation polygons derived from aerial surveys to calculate cumulative years of defoliation for each pest. Over 85% of the Allegheny National Forest land area was defoliated at least once during the 16-year period from 1984 to 1999. Frequency of defoliation by specific defoliator species was closely associated with the dominance of their primary hosts in stands. Frequency of defoliation was often associated with crown dieback and mortality, but these relationships were not detectable in all species. These results suggest that when impacts are averaged over large areas (such as in this study) effects of defoliation are likely to be considerably less severe than when measured in selected stands (as is the approach taken in most previous impact studies).

scholarly journals Multi-Model Approaches to the Spatialization of Tree Vitality Surveys: Constructing a National Tree Vitality Map

Forests ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1009
Author(s):  
Yu-Young Choi ◽  
Hye-In Chung ◽  
Chul-Hee Lim ◽  
Jun-Hee Lee ◽  
Won-Il Choi ◽  
...  
Keyword(s):  
Forest Management ◽  
Survey Data ◽  
Field Survey ◽  
Multinomial Logistic Regression ◽  
Forest Health ◽  
First Grade ◽  
Forest Monitoring ◽  
National Forest ◽  
Diverse Range ◽  
Tree Vitality

It is essential to maintain the health of forests so that they are protected against a diverse range of stressors and show improved resilience. An area-based forest health map is required for efficient forest management on a national scale however, most national forest inventories are based on in-situ observations. This study examined methodologies to establish an area-based map on tree vitality grade using field survey data, particularly that containing information on several trees at one point. The forest health monitoring dataset of the Republic of Korea was used in combination with 37 satellite-based environmental predictors. Four methods were considered: Multinomial logistic regression (MLR), random forest classification (RF), indicator kriging (IK), and multi-model ensemble (MME) approaches using species distribution models. The MLR and RF produced biased results, whereby almost all regions were classified as first grade; the spatialization results of these methods were considered inappropriate for forest management. The maps produced using the IK and MME methods improved the distinctions between the distributions of five grades compared to the previous two methodologies however, the MME method produced better results, reliably reflecting topographical and climatic characteristics. Comparisons with the vegetation condition index and bioclimate vulnerability index also emphasized the usefulness of the MME. This study is particularly relevant to the national forest managers who struggle to find the most effective forest monitoring and management strategies. Suggestions to improve spatialization of field survey data are further discussed.

scholarly journals Forests and forestry in Poland and other EU countries

2014 ◽  
Vol 56 (4) ◽  
pp. 185-193 ◽  
Author(s):  
Stanisław Zając ◽  
Adam Kaliszewski ◽  
Wojciech Młynarski
Keyword(s):  
Forest Fires ◽  
Large Population ◽  
Forest Health ◽  
Health Condition ◽  
General Information ◽  
Wood Products ◽  
Large Area ◽  
Forest Protection ◽  
Eu Member States ◽  
Forest Lands

Abstract The paper provides general information about forests and forestry in Poland against a background of other EU Member States. Based on the data published in various international sources of statistical data it presents the information of forest resources, forest health condition, protection of forests, occurrence of forest fires, employment in forestry and related sectors, as well as selected aspects of production and trade of wood and wood products and also generation and use of renewable energy. The paper concludes that Poland is characterized by vast forest and timber resources, however in view of a large area of the country and large population share of forest lands in the total area of the country and the average forest area per inhabitant are low. The high share of protected areas makes Poland one of the leaders in forest protection, however Polish forests are very vulnerable to fires. Poland is a significant producer of wood-based panels, sawnwood and pulpwood, as well as paper and cardboard.

scholarly journals Zhodnotenie zdravotného stavu lesov v inundačnej oblasti Dunaja v úseku Dobrohošt – Sap z leteckých multispektrálnych snímok z roku 2011

2013 ◽  
Vol 59 (2) ◽  
Author(s):  
Tomáš Bucha ◽  
Martin Slávik ◽  
Norbert Hatala ◽  
Martin Bartko
Keyword(s):  
Forest Health ◽  
Health Condition ◽  
Danube River ◽  
Aerial Images ◽  
Forest Monitoring ◽  
Hydropower Plant ◽  
Severe Damage ◽  
Tree Defoliation ◽  
Native Tree Species ◽  
River Inundation

AbstractThe purpose of this paper is to evaluate the forest health condition in the area of Hydropower plant Gabčikovo using the digital multispectral aerial images from 2011 in the section Dobrohošt - Sap. We proposed a new innovative procedure of creating the forest mask in the image processing. It concerns a process of defining tree crowns, where we combined subject and raster oriented approach of the image classification. We evaluated forest health condition on a selected forest mask using the method of twophased sampling with regression. The indicators of health condition were tree defoliation and presence of heavily damaged trees and snags in the stands. Defoliation was used to compare the current forest health condition in the concerned area with the data from 2008. Presence of the snags as the result of severe damage is interpreted in terms of stand types related to site conditions. Field survey proved presence of invasive and non-native tree species and plants. Based on the result, we have formulated recommendations for further forest monitoring in the Danube River inundation

scholarly journals Water Budgets of Managed Forests in Northeast Germany under Climate Change—Results from a Model Study on Forest Monitoring Sites

2021 ◽  
Vol 11 (5) ◽  
pp. 2403
Author(s):  
Daniel Ziche ◽  
Winfried Riek ◽  
Alexander Russ ◽  
Rainer Hentschel ◽  
Jan Martin
Keyword(s):  
Climate Change ◽  
Climate Models ◽  
Regional Climate ◽  
Coupled Model ◽  
Regional Climate Models ◽  
Realistic Model ◽  
Forest Monitoring ◽  
Climate Change Scenarios ◽  
Historical Time ◽  
Time Period

To develop measures to reduce the vulnerability of forests to drought, it is necessary to estimate specific water balances in sites and to estimate their development with climate change scenarios. We quantified the water balance of seven forest monitoring sites in northeast Germany for the historical time period 1961–2019, and for climate change projections for the time period 2010–2100. We used the LWF-BROOK90 hydrological model forced with historical data, and bias-adjusted data from two models of the fifth phase of the Coupled Model Intercomparison Project (CMIP5) downscaled with regional climate models under the representative concentration pathways (RCPs) 2.6 and 8.5. Site-specific monitoring data were used to give a realistic model input and to calibrate and validate the model. The results revealed significant trends (evapotranspiration, dry days (actual/potential transpiration < 0.7)) toward drier conditions within the historical time period and demonstrate the extreme conditions of 2018 and 2019. Under RCP8.5, both models simulate an increase in evapotranspiration and dry days. The response of precipitation to climate change is ambiguous, with increasing precipitation with one model. Under RCP2.6, both models do not reveal an increase in drought in 2071–2100 compared to 1990–2019. The current temperature increase fits RCP8.5 simulations, suggesting that this scenario is more realistic than RCP2.6.

scholarly journals Integrating data from National Forest Inventories into socio-cultural forest monitoring – a new approach

2020 ◽  
Vol 35 (5-6) ◽  
pp. 274-285
Author(s):  
K. Tessa Hegetschweiler ◽  
Christoph Fischer ◽  
Marco Moretti ◽  
Marcel Hunziker
Keyword(s):  
Forest Monitoring ◽  
National Forest ◽  
New Approach ◽  
Forest Inventories ◽  
National Forest Inventories

scholarly journals An overview of existing and promising technologies for national forest monitoring

2015 ◽  
Vol 72 (6) ◽  
pp. 779-788 ◽  
Author(s):  
Matieu Henry ◽  
Maxime Réjou-Méchain ◽  
Miguel Cifuentes Jara ◽  
Craig Wayson ◽  
Daniel Piotto ◽  
...  
Keyword(s):  
Forest Monitoring ◽  
National Forest

scholarly journals Early indications of drought impacts on forests in the southeastern United States

2015 ◽  
Vol 91 (04) ◽  
pp. 376-383 ◽  
Author(s):  
Michael K. Crosby ◽  
Zhaofei Fan ◽  
Martin A. Spetich ◽  
Theodor D. Leininger ◽  
Xingang Fan
Keyword(s):  
United States ◽  
Forest Type ◽  
Southeastern United States ◽  
Forest Health ◽  
Classification And Regression Tree ◽  
Future Research ◽  
Red Oak ◽  
White Oak ◽  
Cart Analysis ◽  
Crown Dieback

In the southeastern United States, drought can pose a significant threat to forests by reducing the amount of available water, thereby stressing trees. Destructive changes in crown conditions provide the first visible indication of a problem in a forested area, making it a useful indicator for problems within an ecosystem. Forest Health and Monitoring (FHM) and Palmer's Drought Severity Index (PDSI) data from 11 states in the southeastern United States were obtained in an effort to determine the role that drought, forest type, and ecoregion have in indicating differences in crown dieback. Analyses were conducted by species groups using classification and regression tree (CART) analysis. The greatest amount of total relative crown dieback occurred in red oak (18%), followed by other hardwoods (14%), and white oak (11%). Relative crown dieback varied by forest type and ecoregion with a relationship to drought in both red oak and white oak. This information will be useful for focusing future research and modeling efforts to predict forest health conditions affected by changing climate variables.

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