Comparing land use registry and sample based inventory to estimate forest area in Podlaskie, Poland

Jabłoński, Marek; Korhonen, K.; Budniak, Piotr; Mionskowski, Marcin; Zajaczkowski, Grz.; Sucko, Krz.

doi:10.3832/ifor2078-009

Cited by 4 publications

(9 citation statements)

References 33 publications

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“…This was confirmed in a study by Hościło et al [71] based on spatial databases, which showed that Poland's forest cover was already 32% in 2014, and the actual forest area was almost 800 kha larger than that published by Statistics Poland. A study by Jablonski et al [72] conducted in the Podlaskie Voivodeship indicate similar discrepancies (about 2.4 percentage points more than the public data). The main reasons for the mentioned differences are the spontaneous appearance of trees on abandoned agricultural land [73] and, especially, the aforementioned delays in the reclassification of afforestation into forest land.…”

Section: Problems In Data Comparabilitymentioning

confidence: 72%

Changes in Forest Cover of Municipalities in Poland in 1990–2018

Kociuba,

Gawrysiak,

Kociuba

2024

Sustainability

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The study is part of the trend of searching for research methods to demonstrate changes in forest cover at the level of basic units of public administration with greater precision and accuracy. The purpose of the article is to present, for the first time, changes in forest cover of municipalities in Poland from 1990 to 2018 using CORINE Land Cover (CLC) data. The contributions of this study are threefold. Firstly, using GIS and CLC data (3.1. Forests), multivariate analyses of forest cover changes were carried out for 2481 municipalities for the CLC data collection years (1990, 2000, 2006, 2012, 2018), which showed the temporal and spatial dynamics of changes, with a predominance of deforestation in 1990–2000 and 2012–2018, and afforestation in 2000–2006 and 2006–2012. Secondly, the formal, legal and financial rationale for these changes was indicated. The increase in afforestation was a result of financial incentives under the National Program for Increasing Forest Cover and the EU’s Common Agricultural Policy (under Rural Development Programs—RDPs). Deforestation was related to a decrease in the supply of land for afforestation, the competitiveness of subsidies implemented under RDPs, and statutory liberalization of logging. Thirdly, the main discrepancies between the data obtained from CLC and from the public data collected by Statistics Poland (GUS) and the State Forests were indicated, which ranged from −32 kha to +310 kha, corresponding to percentage differences of 2.3% and 1.8%, respectively. This was mainly influenced by the differences in the complexity and updating of data collected for state and private forests, as well as delays in introducing changes to the land register by the public administration. This work contributes significantly to our understanding of the dynamics of forest cover changes in relation to the actual degree of forestation and deforestation, and the determinants of forest transformation in Polish municipalities, as well as demonstrating the new applicability of CLC data and their limitations related mainly to the generalization of forest cover area.

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Section: Problems In Data Comparabilitymentioning

confidence: 72%

Changes in Forest Cover of Municipalities in Poland in 1990–2018

Kociuba,

Gawrysiak,

Kociuba

2024

Sustainability

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“…Comparing the above data with the increase in area (566 thousand hectares), it should be noted that 231 thousand hectares of forest were created by activities other than those mentioned above. This is primarily due to the organization of the Land and Property Register, i.e., the reclassification of areas that were afforested in previous years and were not listed in the official register, as well as areas that became covered with forest vegetation as a result of natural succession [33,62].…”

Section: Forecasts Of the Increase In Forest Area In Polandmentioning

confidence: 99%

Is It Possible for Poland to Achieve the Policy Goal of 33% Forest Cover by Mid-Century?

Kaliszewski

Jabłoński

2022

Sustainability

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The aim of the present paper is to discuss the problems with attempts to increase forest area in Poland (with a focusing on afforestation in the last 30 years), to analyse the discrepancy between the afforested area and the recorded increase in forest area, and to identify solutions that could enable Poland to achieve the policy goal of 33% forest cover by 2050. The study is based on available official documents, statistical data, and the existing literature. It presents the results of a postal survey of key institutional actors involved in afforestation in Poland on the factors hindering the implementation of afforestation on private land. The study shows that the main factors influencing the collapse of afforestation are long-term, and it is unlikely that this trend will be reversed in the coming years. However, it appears possible to take steps to convert forested agricultural lands that meet national criteria for recognition as forest to forest. The urgent need to protect biodiversity and improve environmental quality in the face of climate change makes it necessary to develop and implement a new program to increase forest area and to provide coherent tools to support the conversion of forested agricultural land to forest.

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“…Reporting of forest area in Poland is based on data published in the statistical yearbooks "Forestry" and "Environmental Protection" of the Central Statistical Office. Details of the definition of forest area formulated for Poland in the Forest Act (Act on Forests, 1991), FAO/UN [9][10][11] and the Kyoto Protocol [12] are presented in Table 2 [13][14][15][16]. The definition of forest in the 1991 Forestry Act (in Poland) does not require canopy cover or height.…”

Section: Introductionmentioning

confidence: 99%

“…Areas with or without forest vegetation may be also excluded or included in the forest area due to their land use. Moreover, there are many such rules that result in the forest area, which varies according to the definition used [13][14][15][16]. Ultimately, different forest areas are reported even for a single country.…”

Section: Introductionmentioning

confidence: 99%

“…An important part of the remote sensing analysis related to forest area estimation is the accuracy assessment based on inventory data, which may differ significantly due to many factors, e.g., the number and distribution of sample plots, measurement methodology [3,54], or simply due to outdated records in existing databases [13][14][15][16]55]. When statistics are used in inventory procedures, sampling and inference methods can also affect estimation results [8].…”

Section: Introductionmentioning

confidence: 99%

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The Use of Remote Sensing Data to Estimate Land Area with Forest Vegetation Cover in the Context of Selected Forest Definitions

Hycza

Kamińska

Stereńczak

2021

Forests

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(1) Background: Like many other countries, Poland is obliged to report forest area to the Climate Convention (UNFCCC Kyoto Protocol) and the Food and Agriculture Organization of the United Nations (FAO/UN). Differences between national and international forest definitions lead to differences between actual and reported forest area. Remote sensing is a useful tool for estimating forest area for reporting purposes. One of the most important parts of the estimation is the choice of a basal area to calculate the percentage of vegetation cover. (2) Methods: Height, crown projection area, and minimum complex area were used to classify the area with forest vegetation. Percentage canopy cover was determined using three different methods based on segmentation polygons, triangular grid and canopy height model pixels. The accuracy of the above methods was verified by manual vectorization performed on a selected set of test plots in the Milicz study area according to the international definitions. The differences were examined using three statistical metrics. (3) Conclusions: This paper compares for the first time methods for determining the area for which canopy cover is calculated (using data from (ALS) and discusses the differences between them in the context of accuracy (the correspondence between the results and the reference data) and the complexity of the process (time and effort required to perform the analysis). This is important in the context of reporting, estimating carbon stocks and biodiversity to mitigate the effects of climate change. Method 2 proved to be the most accurate method, Method 1 was found to be the worst option. Accuracy was better in the case of the Kyoto Protocol definition.

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Comparing land use registry and sample based inventory to estimate forest area in Podlaskie, Poland

Cited by 4 publications

References 33 publications

Changes in Forest Cover of Municipalities in Poland in 1990–2018

Changes in Forest Cover of Municipalities in Poland in 1990–2018

Is It Possible for Poland to Achieve the Policy Goal of 33% Forest Cover by Mid-Century?

The Use of Remote Sensing Data to Estimate Land Area with Forest Vegetation Cover in the Context of Selected Forest Definitions

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