Pasar al contenido principal

page search

Community Organizations MDPI Online, Open Access Journals
MDPI Online, Open Access Journals
MDPI Online, Open Access Journals
Acronym
MDPI
Publishing Company
Phone number
+41 61 683 77 34

Location

St. Alban-Anlage 66
Basel
Basel-Stadt
Switzerland
Working languages
inglés

MDPI AG, a publisher of open-access scientific journals, was spun off from the Molecular Diversity Preservation International organization. It was formally registered by Shu-Kun Lin and Dietrich Rordorf in May 2010 in Basel, Switzerland, and maintains editorial offices in China, Spain and Serbia. MDPI relies primarily on article processing charges to cover the costs of editorial quality control and production of articles. Over 280 universities and institutes have joined the MDPI Institutional Open Access Program; authors from these organizations pay reduced article processing charges. MDPI is a member of the Committee on Publication Ethics, the International Association of Scientific, Technical, and Medical Publishers, and the Open Access Scholarly Publishers Association (OASPA).

Members:

Resources

Displaying 1101 - 1105 of 1524

Spatiotemporal Change Analysis and Future Scenario of LULC Using the CA-ANN Approach: A Case Study of the Greater Bay Area, China

Peer-reviewed publication
Diciembre, 2020
Global

Land use land cover (LULC) transition analysis is a systematic approach that helps in understanding physical and human involvement in the natural environment and sustainable development. The study of the spatiotemporal shifting pattern of LULC, the simulation of future scenarios and the intensity analysis at the interval, category and transition levels provide a comprehensive prospect to determine current and future development scenarios.

Modeling Future Land Use Development: A Lithuanian Case

Peer-reviewed publication
Diciembre, 2020
Lithuania

Effective management decisions regarding greenhouse gas (GHG) emissions may be hampered by the lack of scientific tools for modeling future land use change. This study addresses methodological principles for land use development scenario modeling assumed for use in processes of GHG accounting and management. Associated land use policy implications in Lithuania are also discussed.

Fit for Purpose Land Administration: Country Implementation Strategy for Addressing Uganda’s Land Tenure Security Problems

Peer-reviewed publication
Diciembre, 2020
Uganda

The Republic of Uganda is one of the five countries within the East African region. Uganda’s efforts to increase land productivity are hampered by land tenure insecurity related problems. For more than ten years, Fit for Purpose Land Administration (FFPLA) pilot projects have been implemented in various parts of the country.

Fit-For-Purpose Applications in Colombia: Defining Land Boundary Conflicts between Indigenous Sikuani and Neighbouring Settler Farmers

Peer-reviewed publication
Diciembre, 2020
Colombia

One of the most difficult types of land-related conflict is that between Indigenous peoples and third parties, such as settler farmers or companies looking for new opportunities who are encroaching on Indigenous communal lands. Nearly 30% of Colombia’s territory is legally owned by Indigenous peoples. This article focuses on boundary conflicts between Indigenous peoples and neighbouring settler farmers in the Cumaribo municipality in Colombia. Boundary conflicts here raise fierce tensions: discrimination of the others and perceived unlawful occupation of land.

Understanding the Impact of Land Resource Misallocation on Carbon Emissions in China

Peer-reviewed publication
Diciembre, 2020
China

In order to achieve growth in fiscal revenue and the regional economy under the Chinese decentralization system, the land resources misallocation (LRM) among different industries was promoted through the differentiated land supply strategy, which has a vital role in carbon emissions. This study theoretically analyzes the overall effect and the effect of the intermediate LRM mechanism on carbon emissions and empirically tests the impact of LRM on carbon emissions based on panel data collected from 30 provinces in China from 2005 to 2017 using the environmental Kuznets curve theory.