scholarly journals Dynamics of the land use, land use change, and forestry sink in the European Union: the impacts of energy and climate targets for 2030

2016 ◽  
Vol 138 (1-2) ◽  
pp. 253-266 ◽  
Author(s):  
Stefan Frank ◽  
Hannes Böttcher ◽  
Mykola Gusti ◽  
Petr Havlík ◽  
Ger Klaassen ◽  
...  
2021 ◽  
Vol 13 (9) ◽  
pp. 4599
Author(s):  
Mohd Alsaleh ◽  
Muhammad Mansur Abdulwakil ◽  
Abdul Samad Abdul-Rahim

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.


2020 ◽  
Vol 9 (3) ◽  
pp. 905
Author(s):  
Atik KRUSTIYATI ◽  
Sylvia JANISRIWATI ◽  
Novela CHRISTINE ◽  
Mokhamad Khoirul HUDA

Crude palm oil is one of the main commodities exported by Indonesia to several countries, including European Union. The European Union has pushed through several laws regarding climate change, including the Renewable Energy Directive II. The regulation supplementing the Renewable Energy Directive II has also been adopted by the European Commission, making the criteria for determining the high indirect land-use change-risk feedstock in Commission Delegated Regulation (EU) 2019/807. The objective of this paper is to observe if the measure taken by European Union on determining the indirect land-use change-risk feedstock has satisfied the existing WTO trade principles, the principle of most favored nation and the principle of quantitative restriction. The determining criteria in Commission Delegated Regulation (EU) 2019/807 is trade restrictive and discriminating to the export of crude palm oil, as crude palm oil is the only feedstock that falls under the criteria of high indirect land-use change-risk feedstock. The regulation has impact for the consumption of crude palm oil in Member states of European Union should be gradually reduced 0% by 2030 at the latest.  As the provision on General Agreement on Tariffs and Trade embodies the principle of non-discrimination, the result of the study shows the Commission Delegated Regulation (EU) 2019/807 has violated the international trade principles. Furthermore, the general exceptions of GATT 1994 contained in Article XX (b) also doesn’t justify the measure.


2006 ◽  
Vol 114 (1) ◽  
pp. 86-102 ◽  
Author(s):  
Pytrik Reidsma ◽  
Tonnie Tekelenburg ◽  
Maurits van den Berg ◽  
Rob Alkemade

Author(s):  
Hanna Yekel

The article presents the methodology of regulation of environmentally friendly land use. We found that the methodology for regulating environmentally friendly land use will include several levels: international legislation, state regulation, the level of integrated structures, agricultural enterprises. A number of tasks to be solved by the methodology of regulating ecologically safe land use have been identified. It is established that the methodology of agroeconomic research of regulation of ecologically safe land use will include: assessment of natural and ecological properties of land use, economic, technological and social components. In the current conditions of making, a profit is not the only and ultimate goal of the producer. Much more important today is the preservation of the natural environment and the development of the social sphere. In order to integrate into the trade space of the European Union, the manufacturer must think about the quality of manufactured products. It is under such conditions that the production of environmentally friendly products began. For effective business development in the field of this business, it is necessary to establish relations with local authorities and develop a regulatory framework that will contribute to the formation of effective sales channels and promotion of products among the population. In the current conditions of making a profit is not the only and ultimate goal of the producer. Much more important today is the preservation of the natural environment and the development of the social sphere. In order to integrate into the trade space of the European Union, the manufacturer must think about the quality of manufactured products. It is under such conditions that the production of environmentally friendly products began. For effective business development in the field of this business, it is necessary to establish relations with local authorities and develop a regulatory framework that will contribute to the formation of effective sales channels and promotion of products among the population. The methodology of regulation of environmentally friendly land use should solve the following tasks.


2021 ◽  
Author(s):  
Giovanni Marchisio ◽  
Patrick Helber ◽  
Benjamin Bischke ◽  
Tim Davis ◽  
Annett Wania

<p>New catalogues of nearly daily or even intraday temporal data will soon dominate the global archives. However, there has been little exploration of artificial intelligence (AI) techniques to leverage the high cadence that is already possible to achieve through the fusion of multiscale, multimodal sensors. Under the sponsorship of the European Union’s Horizon 2020 programme, RapidAI4EO will establish the foundations for the next generation of Copernicus Land Monitoring Service (CLMS) products. Focus is on the CORINE Land Cover programme, which is the flagship of CLMS. </p><p>Specific objectives of the project are to: 1) explore and stimulate the development of new spatiotemporal monitoring applications based on the latest advances in AI and Deep Learning (DL); 2) demonstrate the fusion of Copernicus high resolution satellite imagery and third party very high resolution imagery; 3) provide intensified monitoring of Land Use and Land Cover, and Land Use change at a much higher level of detail and temporal cadence than it is possible today. </p><p>Our strategy is two-fold. The first aspect involves developing vastly improved DL architectures to model the phenomenology inherent in high cadence observations with focus on disentangling phenology from structural change. The second involves providing critical training data to drive advancement in the Copernicus community and ecosystem well beyond the lifetime of this project. To this end we will create the most complete and dense spatiotemporal training sets ever, combining Sentinel-2 with daily, harmonized, cloud-free, gap filled, multispectral 3m time series resulting from fusion of open satellite data with Planet imagery at as many as 500,000 patch locations over Europe. The daily time series will span the entire year 2018, to coincide with the latest release of CORINE. We plan to open source these datasets for the benefit of the entire remote sensing community.</p><p>This talk focuses on the description of the datasets whose inspirations comes from the recently released EuroSAT (Helbert et al, 2019) and BigEarthNet corpora (Sumbul et al, 2019). The new corpora will look at the intersection of CORINE 2018 with all the countries in the EU, balancing relative country surface with relative LULC distribution and most notably adding the daily high resolution time series at all locations for the year 2018. Annotations will be based on the CORINE ontology. The higher spatial resolution will support modeling of more LC classes, while the added  temporal dimension should enable disambiguation of land covers across diverse climate zones, as well as an improved understanding of land use.</p><p>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101004356.</p>


2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Raphaël d’Andrimont ◽  
Momchil Yordanov ◽  
Laura Martinez-Sanchez ◽  
Beatrice Eiselt ◽  
Alessandra Palmieri ◽  
...  

Abstract Accurately characterizing land surface changes with Earth Observation requires geo-located ground truth. In the European Union (EU), a tri-annual surveyed sample of land cover and land use has been collected since 2006 under the Land Use/Cover Area frame Survey (LUCAS). A total of 1351293 observations at 651780 unique locations for 106 variables along with 5.4 million photos were collected during five LUCAS surveys. Until now, these data have never been harmonised into one database, limiting full exploitation of the information. This paper describes the LUCAS point sampling/surveying methodology, including collection of standard variables such as land cover, environmental parameters, and full resolution landscape and point photos, and then describes the harmonisation process. The resulting harmonised database is the most comprehensive in-situ dataset on land cover and use in the EU. The database is valuable for geo-spatial and statistical analysis of land use and land cover change. Furthermore, its potential to provide multi-temporal in-situ data will be enhanced by recent computational advances such as deep learning.


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