Development of land use matrix using geospatial data of National forest inventory

2020 ◽  
Author(s):  
Linards Ludis Krumsteds ◽  
Janis Ivanovs ◽  
Andis Lazdins ◽  
Raitis Melniks
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Forest Inventory ◽  
Land Use Changes ◽  
National Forest Inventory ◽  
National Forest ◽  
Auxiliary Data ◽  
Change Matrix ◽  
Use Category

<p><strong>Abstract.</strong> Calculation of land use and land use change matrix is one of the key elements for the national greenhouse gas (GHG) inventory in land use, land use change and forestry (LULUCF) sector. Main purpose of the land use and land use change matrix is to present comprehensive and harmonized land use and land use change information nationwide over certain time period. Information on land use and land use changes is further used to calculate other parameters important for determination of carbon stock changes and GHG emissions like the stock changes of living and dead biomass, as well as basic information on applied management measures. Aim of this study is to improve methodology for development and maintenance of land use and land use change matrix in the national GHG inventory system using geospatial data information of National forest inventory (NFI) and auxiliary data sources. Creation of land use and land use change matrix is performed in semi-automated way by using GIS tools, which eliminates possible impurities of reported data and have made the calculation process less time consuming than before. New calculation method takes into account present land use data from NFI and land use data from two previous NFI cycles, considerably reducing uncertainty of the estimates, and takes into account land management practices which may alter the land use category in long-term. Auxiliary data, like national land parcel information systems (LPIS), has been introduced to increase certainty, consistency and accuracy for determination of final land-use category. Year-by-year land use change extent detection is carried out by using linear interpolation and extrapolation method is used for the consecutive years for which NFI data are not available.</p><p><strong>Key words: </strong>ERA-GAS INVENT, land use and land use changes, national forest inventory, greenhouse gas inventory.</p>

Land-use Change Assessment by Permanent Sample Plots in National Forest Inventory

2015 ◽  
Vol 6 (1) ◽  
pp. 33 ◽  
Author(s):  
Jong-Su Yim ◽  
Rae Hyun Kim ◽  
Sun Jeoung Lee ◽  
Yeong Mo Son
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Forest Inventory ◽  
National Forest Inventory ◽  
National Forest ◽  
Change Assessment ◽  
Permanent Sample Plots

scholarly journals Land Use Changes and Livelihood Scenarios of Rajahar VDC, Nawalparasi District, Nepal

2015 ◽  
Vol 21 ◽  
pp. 55-62
Author(s):  
Dhurba Prasad Ghimire ◽  
Sunil Babu Khatry ◽  
Bhagawat Rimal
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Water Body ◽  
Land Use Changes ◽  
Industrial Area ◽  
Considerable Change ◽  
Key Drivers ◽  
Map Analysis ◽  
Use Category ◽  
Agricultural Settlement

A digital land use map of the study area Rajahar VDC at Nawalparasi district was prepared with the aid of RS/GIS for 1989 to 2013 followed by land use map analysis. The obtained image was classified as forest, agricultural, settlement, water body and religious areas for the study year 1989 to 1999 where industrial area was included as new land use category (0.07%) for 2013. The study showed that there was considerable change in forest area (-3.47%) and religious area (-0.01%). But agriculture land, settlement area and water body were increased by 2.02%, 3.66% and 1.28%, respectively. The land use change for 1989 to 2013 followed polynomial (R2: 0.6577) pattern. The identified land use change key drivers were dependent on past events and reactions of the respondents. ECOPRINT 21: 55-62, 2014   DOI: http://dx.doi.org/10.3126/eco.v21i0.11905

scholarly journals Fluctuations in gross volume increment estimated by the Lithuanian National Forest Inventory compared with annual variations in single tree increment

2019 ◽  
Vol 25 (2) ◽  
pp. 273-280
Author(s):  
Gintaras Kulbokas ◽  
Vaiva Jurevičienė ◽  
Andrius Kuliešis ◽  
Algirdas Augustaitis ◽  
Edmundas Petrauskas ◽  
...  
Keyword(s):  
Land Use ◽  
Volume Change ◽  
Forest Inventory ◽  
Basal Area ◽  
National Forest Inventory ◽  
Reference Level ◽  
National Forest ◽  
Growing Stock ◽  
Volume Increment ◽  
Stock Volume

There are significant inter-annual fluctuations of growing stock volume changes of living trees estimated by the Lithuanian National Forest Inventory (NFI). In the current study, we compared two sources of information on forest productivity: conventional NFI data and dendrochronological data based on tree cores collected in parallel with the measurements of the fourth Lithuanian NFI cycle during 2013–2017 on the same permanent plots (total number of cores was 4967). The main finding is that the dendrochronological basal area increment data confirmed the depression of gross stand volume increment around 2006–2007 (based on Lithuanian NFI measurements in 2008–2009), followed by a steep increase during 2008–2011 (NFI from 2010–2013). The findings explain the differences between projected growing stock volume change, which have been used for forest reference level estimation according to land use, land-use change and forestry sector regulation, and the one recently provided in National Greenhouse Gas Inventory Reports. Key words: Growing stock volume change, basal area increment, forest reference level, greenhouse gas reporting

The Forest Extent in 2015 and the Drivers of Forest Change Between 2000 and 2015 in Papua New Guinea

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Gewa Gamoga ◽  
Ruth Turia ◽  
Hitofumi Abe ◽  
Masamichi Haraguchi ◽  
Oala Iuda
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Anthropogenic Activities ◽  
Land Use Changes ◽  
National Forest Inventory ◽  
Forest Area ◽  
National Forest ◽  
Forest Change ◽  
General Decline ◽  
Total Forest Area

Obtaining high-quality information on forest and land use is essential to analysis of climate change, sustainable forest and land use planning. Papua New Guinea’s (PNG) forest and land cover/land use has been well documented using different methods, land classifications and forest definitions. These studies have delivered significant results indicating a general decline in the forest extent, with the drivers of land use changes attributed to demographic and economic development. This study is a component of the larger National Forest Inventory for PNG within which we sought to stratify and quantify forest and land use change by applying a systematic point-based sampling approach utilizing Open Foris—Collect Earth and freely available satellite images. A total of 25,279 sample points was assessed to determine the PNG’s forest extent and the forest change drivers based on the national forest definition. Analysis revealed that in 2015, about 78% of the country was covered with 12 forest types, and more than 23% of the total forest area has been degraded through anthropogenic activities. Analysis also revealed that between 2000 and 2015, about 0.66% of the total forest area was deforested, and subsistence agriculture was the main driver (0.45%), followed by palm oil planting (0.23%). During the same period, about 6.6% of the total forest area was degraded, and commercial logging was the main cause (6.1%). Apart from Global Forest Watch, this study established more forest than previously estimated in earlier studies. This is due to the fundamental differences in the purposes and methodologies used.

Analisis Perubahan Tata Guna Lahan di Kabupaten Bantul Menggunakan Metode Global Moran’s I

2017 ◽  
Vol 8 (4) ◽  
Author(s):  
Matheus Supriyanto Rumetna ◽  
Eko Sediyono ◽  
Kristoko Dwi Hartomo
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Spatial Autocorrelation ◽  
Land Use Changes ◽  
Geographical Information ◽  
Moran’S I ◽  
Complete Spatial Randomness ◽  
Moran's I ◽  
Global Moran’S I ◽  
Spatial Randomness

Abstract. Bantul Regency is a part of Yogyakarta Special Province Province which experienced land use changes. This research aims to assess the changes of shape and level of land use, to analyze the pattern of land use changes, and to find the appropriateness of RTRW land use in Bantul District in 2011-2015. Analytical methods are employed including Geoprocessing techniques and analysis of patterns of distribution of land use changes with Spatial Autocorrelation (Global Moran's I). The results of this study of land use in 2011, there are thirty one classifications, while in 2015 there are thirty four classifications. The pattern of distribution of land use change shows that land use change in 2011-2015 has a Complete Spatial Randomness pattern. Land use suitability with the direction of area function at RTRW is 24030,406 Ha (46,995406%) and incompatibility of 27103,115 Ha or equal to 53,004593% of the total area of Bantul Regency.Keywords: Geographical Information System, Land Use, Geoprocessing, Global Moran's I, Bantul Regency. Abstrak. Analisis Perubahan Tata Guna Lahan di Kabupaten Bantul Menggunakan Metode Global Moran’s I. Kabupaten Bantul merupakan bagian dari Provinsi Daerah Istimewa Yogyakarta yang mengalami perubahan tata guna lahan. Penelitian ini bertujuan untuk mengkaji perubahan bentuk dan luas penggunaan lahan, menganalisis pola sebaran perubahan tata guna lahan, serta kesesuaian tata guna lahan terhadap RTRW yang terjadi di Kabupaten Bantul pada tahun 2011-2015. Metode analisis yang digunakan antara lain teknik Geoprocessing serta analisis pola sebaran perubahan tata guna lahan dengan Spatial Autocorrelation (Global Moran’s I). Hasil dari penelitian ini adalah penggunaan tanah pada tahun 2011, terdapat tiga puluh satu klasifikasi, sedangkan pada tahun 2015 terdapat tiga puluh empat klasifikasi. Pola sebaran perubahan tata guna lahan menunjukkan bahwa perubahan tata guna lahan tahun 2011-2015 memiliki pola Complete Spatial Randomness. Kesesuaian tata guna lahan dengan arahan fungsi kawasan pada RTRW adalah seluas 24030,406 Ha atau mencapai 46,995406 % dan ketidaksesuaian seluas 27103,115 Ha atau sebesar 53,004593 % dari total luas wilayah Kabupaten Bantul. Kata Kunci: Sistem Informasi Georafis, tata guna lahan, Geoprocessing, Global Moran’s I, Kabupaten Bantul.

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 Land-Use Change Impacts from Sustainable Hydropower Production in EU28 Region: An Empirical Analysis

2021 ◽  
Vol 13 (9) ◽  
pp. 4599
Author(s):  
Mohd Alsaleh ◽  
Muhammad Mansur Abdulwakil ◽  
Abdul Samad Abdul-Rahim
Keyword(s):  
Carbon Dioxide ◽  
Land Use ◽  
European Union ◽  
Land Use Change ◽  
Carbon Dioxide Emissions ◽  
Energy Production ◽  
Land Use Changes ◽  
Ordinary Least Squares ◽  
The European Union ◽  
Hydropower Production

Under the current European Union (EU) constitution approved in May 2018, EU countries ought to guarantee that estimated greenhouse-gas releases from land use, land-use change, or forestry are entirely compensated by an equivalent accounted removal of carbon dioxide (CO2) from the air during the period between 2021 and 2030. This study investigates the effect of sustainable hydropower production on land-use change in the European Union (EU28) region countries during 1990–2018, using the fully modified ordinary least squares (FMOLS). The results revealed that land-use change incline with an increase in hydropower energy production. In addition, economic growth, carbon dioxide emissions, and population density are found to be increasing land-use changes, while institutional quality is found to be decreasing land-use change significantly. The finding implies that land-use change in EU28 region countries can be significantly increased by mounting the amount of hydropower energy production to achieve Energy Union aims by 2030. This will finally be spread to combat climate change and environmental pollution. The findings are considered robust as they were checked with DOLS and pooled OLS. The research suggests that the EU28 countries pay attention to the share of hydropower in their renewable energy combination to minimize carbon releases. Politicians and investors in the EU28 region ought to invest further in the efficiency and sustainability of hydropower generation to increase its production and accessibility without further degradation of forest and agricultural conditions. The authorities of the EU28 region should emphasize on efficiency and sustainability of hydropower energy with land-use management to achieve the international commitments for climate, biodiversity, and sustainable development, reduce dependence on fossil fuel, and energy insecurity.

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