scholarly journals Land category in the National Forest Inventory of the Czech Republic

2010 ◽  
Vol 58 (5) ◽  
pp. 223-232
Author(s):  
Miloš Kučera
Keyword(s):  
Czech Republic ◽  
Forest Inventory ◽  
National Forest Inventory ◽  
National Forest ◽  
Special Focus ◽  
Land Classification ◽  
The Czech Republic ◽  
Definition Of

The article deals with the land categorization with special focus on the definition of category FO­REST in the National Forest Inventory of the Czech Republic (NFI CR). Definitions of land categories used in the first cycle of forest inventory in 2001–2004 are evaluated. The first task is to assess the appropriateness of existing land categorization and definition of category FOREST in terms of suitability of used parameters defining individual categories and their values. Their compatibility with international definitions of category FOREST is also assessed. The second task is, based on data from the first cycle of NFI CR, to calculate the area of category FOREST according to the international definition of European National Forest Inventory Network (ENFIN) and to determine whether the area of category FOREST is the same or varies from the area according to the definition FOREST defined in NFI CR.In the first part there is a list of used land classifications in the Czech Republic and there are also described used international classifications. Land categorization and definitions according ENFIN are presented. Further the parameters are chosen in the national definition of NFI CR, which are compared with analogous parameters defined by ENFIN, indicating differences. Subsequently, the area of category FOREST is calculated according to the parameters of national definition and ENFIN definition. Finally, suggestions are given for the land classification into categories for the second cycle of NFI CR, including the appropriate parameters and their values for the definition of category FOREST. Possible ways of their implementation into the methodology of NFI CR are listed.

scholarly journals Evaluation of silver birch diameter increment model based on data of the Czech National Forest Inventory

2020 ◽  
Vol 66 (No. 11) ◽  
pp. 471-481
Author(s):  
Jan Kikal ◽  
Zdeněk Adamec
Keyword(s):  
Czech Republic ◽  
Forest Inventory ◽  
National Forest Inventory ◽  
Forest Vegetation ◽  
National Forest ◽  
Vegetation Zone ◽  
The Czech Republic ◽  
Diameter Increment ◽  
Breast Height ◽  
Diameter Increment Model

In the Czech Republic, the silver birch (Betula pendula Roth.) is considered as a pioneer and a soil preparing tree species. It occurs mainly on clearcutting areas after disturbances. The aim of this study was to fit breast height diameter increment model for birch with respect to tree age, share of birch trees and forest site type (ecological series – ES and forest vegetation zones – FVZ). We used data of both cycles of National Forest Inventory of the Czech Republic. We evaluated production potential of this species. We tested Korf and Michailoff increment models in variant of nonlinear least squares model (NLS) and nonlinear mixed effects model (NLME). Michailoff models performed better. We found seven statistically significant and practically applicable models. The greatest influence on increment of diameter at breast height have forest vegetation zone and ecological series whereas the influence of the share of birch in forest stand is smaller. The highest absolute values of diameter increment were on gleyed or enriched with water sites in the fourth forest vegetation zone.

scholarly journals Production of Douglas-Fir in the Czech Republic based on national forest inventory data

2013 ◽  
Vol 59 (No. 10) ◽  
pp. 398-404 ◽  
Author(s):  
V. Podrázský ◽  
R. Čermák ◽  
D. Zahradník ◽  
J. Kouba
Keyword(s):  
Czech Republic ◽  
Tree Species ◽  
Forest Inventory ◽  
National Forest Inventory ◽  
Douglas Fir ◽  
National Forest ◽  
Northern Red Oak ◽  
Forest Land ◽  
Land Area ◽  
The Czech Republic

This article summarizes basic estimates of productivity and trend analysis of one of the principal introduced forest tree species in the Czech Republic, i.e. Douglas-fir (Pseudotsuga menziesii [Mirbel] Franco). As a comparison, we also examine grand fir (Abies grandis [D. Don] Lindl), northern red oak (Quercus rubra L. syn. Quercus borealis Michx.) and black locust (Robinia pseudoacacia L). This paper presents estimates of forest land area, standing volume, annual and total increments, distribution of age classes, average ages and site indexes for the period 1979–2010. All data were obtained from the national forest inventory of the Czech Republic. Korf’s growth function was used for the assessment of current and mean annual increments (CAI, MAI) of Douglas-fir compared to other tree species. Our results suggest a decline in the annual area afforested by Douglas-fir, as influenced by the State administration management choices, a low rate of an increase in the forest land area, increasing average age of the forests. On the other hand, we observed a dramatic increase in the standing volume as well as high annual increments in volume. Douglas-fir is the most productive major tree species in the Czech Republic and there is a great potential to expand its use throughout the country.

scholarly journals Regeneration and game damage in the Krušné hory Mts. assessed on the basis of National Forest Inventory of the Czech Republic

2009 ◽  
Vol 55 (No. 6) ◽  
pp. 279-292 ◽  
Author(s):  
L. Lehnerová ◽  
R. Marušák
Keyword(s):  
Czech Republic ◽  
Forest Inventory ◽  
National Forest Inventory ◽  
Recent Measurement ◽  
National Forest ◽  
Measurement Standard ◽  
The Czech Republic ◽  
Standard Methodology ◽  
Extensive Information ◽  
Information Database

In 2001–2004 National Forest Inventory was realized in the Czech Republic. A great number of variables was measured giving rise to an extensive information database that can be used to assess the state and development of various quantitative and qualitative dendrometric characteristics. This work presents the results of regeneration state and game damage in the Krušné hory Mts. based on the data from both the National Forest Inventory and the second enlarged measurement carried out after five years that was done in a part of the Fláje preserve and enabled basic comparison with the rest of the area. For the calculation of data acquired in the old and recent measurement standard methodology for processing National Forest Inventory was used. Comparison of data showed that the average number of regeneration individuals dropped by more than a third in the interval of 5 years, as well as the number of plots with regeneration; game damage of regeneration also was lower by 4%. The proportion of individuals damaged by peeling did not change during the investigated period. A significant increase in game damage to regeneration was found in the Fláje preserve.

scholarly journals Composite Estimators for Growth Derived from Repeated Plot Measurements of Positively-Asymmetric Interval Lengths

Forests ◽  
2018 ◽  
Vol 9 (7) ◽  
pp. 427 ◽  
Author(s):  
Francis Roesch
Keyword(s):  
Data Aggregation ◽  
Forest Inventory ◽  
National Forest Inventory ◽  
Statistical Properties ◽  
National Forest ◽  
Forest Inventory And Analysis ◽  
User Expectations ◽  
Standard Set ◽  
Definition Of ◽  
Interval Lengths

The statistical properties of candidate methods to adjust for the bias in growth estimates obtained from observations on increasing interval lengths are compared and contrasted against a standard set of estimands. This standard set of estimands is offered here as a solution to a varying set of user expectations that can arise from the jargon surrounding a particular data aggregation procedure developed within the USDA’s Forest Inventory and Analysis Program, specifically the term “average annual” growth. The definition of a standard set of estimands also allows estimators to be defined and the statistical properties of those estimators to be evaluated. The estimators are evaluated in a simulation for their effectiveness in the presence of a simple distribution of positively-asymmetric measurement intervals, such as what might arise subsequent to a reduction in budget being applied to a national forest inventory.

scholarly journals The National Forest Programme of the Czech Republic: An introduction of the 1993–2010 development

2011 ◽  
Vol 59 (3) ◽  
pp. 185-192 ◽  
Author(s):  
Marta Urbanová
Keyword(s):  
Czech Republic ◽  
Process Design ◽  
Sustainable Forest Management ◽  
Policy Instrument ◽  
National Forest ◽  
Special Focus ◽  
Expert Interviews ◽  
The Czech Republic ◽  
Intersectoral Cooperation ◽  
Country Level

Since the 1992 UNCED Conference in Rio de Janeiro, National Forest Programmes (NFPs) have been attracting a worldwide attention as a voluntary participatory-based policy instrument to support the sustainable forest management at the country level. This paper reports on the 1993–2010 development of the Czech NFP. During this time, four NFP-related processes have taken place: first, the 1995 NFP drafted by the National Forestry Committee (a non-governmental document); second, the 1998 Forestry Programme of the Ministry of Agriculture (a ministerial document); third, the 2003 National Forest Programme of the Czech Republic (a governmental document, abbreviated as NFP I); and fourth, the 2008 National Forest Programme for the Period until 2013 (a governmental document, abbreviated as NFP II). The reasons are introduced which led to initiation of the respective processes; drawn up is the process chronology. Each process is scrutinised with regard to process design, with a special focus on process participation and intersectoral cooperation. Document analyses, exploratory expert interviews and participant observations were applied to reconstruct the development of the Czech NFP.

Integrating remote sensing and past inventory data under the new annual design of the Swiss National Forest Inventory using three-phase design-based regression estimation

2014 ◽  
Vol 44 (10) ◽  
pp. 1177-1186 ◽  
Author(s):  
Alexander Massey ◽  
Daniel Mandallaz ◽  
Adrian Lanz
Keyword(s):  
Forest Inventory ◽  
Estimation Procedure ◽  
National Forest Inventory ◽  
Aerial Photographs ◽  
Stem Volume ◽  
Permanent Plots ◽  
National Forest ◽  
Special Focus ◽  
Second Phase ◽  
Three Phase

In 2009, the Swiss National Forest Inventory (NFI) turned from a periodic into an annual measurement design in which only one-ninth of the overall sample of permanent plots is measured every year. The reduction in sample size due to the implementation of the annual design results in an unacceptably large increase in variance when using the standard simple random sampling estimator. Thus, a flexible estimation procedure using two- and three-phase regression estimators is presented with a special focus on utilizing updating techniques to account for disturbances and growth and is applied to the second and third Swiss NFIs. The first phase consists of a dense sample of systematically distributed plots on a 500 m × 500 m grid for which auxiliary variables are obtained through the interpretation of aerial photographs. The second phase is an eightfold looser subgrid with terrestrial plot data collected from the past inventory, and the third and final phase consists of the three most recent annual subgrids with the current state of the target variable (stem volume). The proposed three-phase estimators reduce the increase in variance from 294% to 145% compared with the estimator based on the full periodic sample while remaining unbiased.

Steigende Bestandszahlen bei Spechten und anderen Vogelarten dank Zunahme von Totholz? | An increase in the population of woodpeckers and other bird species thanks to an increase in the quantities of deadwood?

2009 ◽  
Vol 160 (11) ◽  
pp. 334-340 ◽  
Author(s):  
Pierre Mollet ◽  
Niklaus Zbinden ◽  
Hans Schmid
Keyword(s):  
Forest Inventory ◽  
Bird Species ◽  
National Forest Inventory ◽  
Population Increase ◽  
National Forest ◽  
Forest Species ◽  
Breeding Populations ◽  
Willow Tit ◽  
Middle Spotted Woodpecker ◽  
Important Habitat

Results from the monitoring programs of the Swiss Ornithological Institute show that the breeding populations of several forest species for which deadwood is an important habitat element (black woodpecker, great spotted woodpecker, middle spotted woodpecker, lesser spotted woodpecker, green woodpecker, three-toed woodpecker as well as crested tit, willow tit and Eurasian tree creeper) have increased in the period 1990 to 2008, although not to the same extent in all species. At the same time the white-backed woodpecker extended its range in eastern Switzerland. The Swiss National Forest Inventory shows an increase in the amount of deadwood in forests for the same period. For all the mentioned species, with the exception of green and middle spotted woodpecker, the growing availability of deadwood is likely to be the most important factor explaining this population increase.

scholarly journals A multi-purpose National Forest Inventory in Bangladesh: design, operationalisation and key results

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Matieu Henry ◽  
Zaheer Iqbal ◽  
Kristofer Johnson ◽  
Mariam Akhter ◽  
Liam Costello ◽  
...  
Keyword(s):  
Climate Change ◽  
Forest Management ◽  
Data Collection ◽  
Land Cover ◽  
Forest Inventory ◽  
Sustainable Forest Management ◽  
National Forest Inventory ◽  
Forest Resources ◽  
National Forest ◽  
Land Cover Map

Abstract Background National forest inventory and forest monitoring systems are more important than ever considering continued global degradation of trees and forests. These systems are especially important in a country like Bangladesh, which is characterised by a large population density, climate change vulnerability and dependence on natural resources. With the aim of supporting the Government’s actions towards sustainable forest management through reliable information, the Bangladesh Forest Inventory (BFI) was designed and implemented through three components: biophysical inventory, socio-economic survey and remote sensing-based land cover mapping. This article documents the approach undertaken by the Forest Department under the Ministry of Environment, Forests and Climate Change to establish the BFI as a multipurpose, efficient, accurate and replicable national forest assessment. The design, operationalization and some key results of the process are presented. Methods The BFI takes advantage of the latest and most well-accepted technological and methodological approaches. Importantly, it was designed through a collaborative process which drew from the experience and knowledge of multiple national and international entities. Overall, 1781 field plots were visited, 6400 households were surveyed, and a national land cover map for the year 2015 was produced. Innovative technological enhancements include a semi-automated segmentation approach for developing the wall-to-wall land cover map, an object-based national land characterisation system, consistent estimates between sample-based and mapped land cover areas, use of mobile apps for tree species identification and data collection, and use of differential global positioning system for referencing plot centres. Results Seven criteria, and multiple associated indicators, were developed for monitoring progress towards sustainable forest management goals, informing management decisions, and national and international reporting needs. A wide range of biophysical and socioeconomic data were collected, and in some cases integrated, for estimating the indicators. Conclusions The BFI is a new information source tool for helping guide Bangladesh towards a sustainable future. Reliable information on the status of tree and forest resources, as well as land use, empowers evidence-based decision making across multiple stakeholders and at different levels for protecting natural resources. The integrated socio-economic data collected provides information about the interactions between people and their tree and forest resources, and the valuation of ecosystem services. The BFI is designed to be a permanent assessment of these resources, and future data collection will enable monitoring of trends against the current baseline. However, additional institutional support as well as continuation of collaboration among national partners is crucial for sustaining the BFI process in future.

scholarly journals Mapping forest age using National Forest Inventory, airborne laser scanning, and Sentinel-2 data

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Johannes Schumacher ◽  
Marius Hauglin ◽  
Rasmus Astrup ◽  
Johannes Breidenbach
Keyword(s):  
Forest Inventory ◽  
Regression Models ◽  
Laser Scanning ◽  
Site Index ◽  
National Forest Inventory ◽  
Airborne Laser Scanning ◽  
National Forest ◽  
Practical Applications ◽  
Airborne Laser ◽  
Sentinel 2

Abstract Background The age of forest stands is critical information for forest management and conservation, for example for growth modelling, timing of management activities and harvesting, or decisions about protection areas. However, area-wide information about forest stand age often does not exist. In this study, we developed regression models for large-scale area-wide prediction of age in Norwegian forests. For model development we used more than 4800 plots of the Norwegian National Forest Inventory (NFI) distributed over Norway between latitudes 58° and 65° N in an 18.2 Mha study area. Predictor variables were based on airborne laser scanning (ALS), Sentinel-2, and existing public map data. We performed model validation on an independent data set consisting of 63 spruce stands with known age. Results The best modelling strategy was to fit independent linear regression models to each observed site index (SI) level and using a SI prediction map in the application of the models. The most important predictor variable was an upper percentile of the ALS heights, and root mean squared errors (RMSEs) ranged between 3 and 31 years (6% to 26%) for SI-specific models, and 21 years (25%) on average. Mean deviance (MD) ranged between − 1 and 3 years. The models improved with increasing SI and the RMSEs were largest for low SI stands older than 100 years. Using a mapped SI, which is required for practical applications, RMSE and MD on plot level ranged from 19 to 56 years (29% to 53%), and 5 to 37 years (5% to 31%), respectively. For the validation stands, the RMSE and MD were 12 (22%) and 2 years (3%), respectively. Conclusions Tree height estimated from airborne laser scanning and predicted site index were the most important variables in the models describing age. Overall, we obtained good results, especially for stands with high SI. The models could be considered for practical applications, although we see considerable potential for improvements if better SI maps were available.

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