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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
English

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).

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Resources

Displaying 1281 - 1285 of 1524

Multi-Party Agroforestry: Emergent Approaches to Trees and Tenure on Farms in the Midwest USA

Peer-reviewed publication
декабря, 2018
Global

Agroforestry represents a solution to land degradation by agriculture, but social barriers to wider application of agroforestry persist. More than half of all cropland in the USA is leased rather than owner-operated, and the short terms of most leases preclude agroforestry. Given insufficient research on tenure models appropriate for agroforestry in the USA, the primary objective of this study was to identify examples of farmers practicing agroforestry on land they do not own.

Towards a Valuation and Taxation Information Model for Chinese Rural Collective Construction Land

Peer-reviewed publication
декабря, 2018
China

To promote rural revitalisation, China’s central government revised the land administration law to allow rural collective construction land (RCL) to be traded in the market and attract private and financial capitals into rural investment and development. However, the land value appreciation income of the market access is closely related to geographical location. Hence, the value appreciation of RCL is enormous in villages around cities and towns. By contrast, the land value appreciation of RCL is low in villages away from cities and towns.

Facing Climate Change: What Drives Internal Migration Decisions in the Karst Rocky Regions of Southwest China

Peer-reviewed publication
декабря, 2018
Global

Global climate change and its influence on human migration have caused heated debates. There is no consensus about the role of environmental change in shaping migration decisions. To amass more evidence and develop a deeper understanding of the relations between the environment and migration, this paper seeks to evaluate the importance of various drivers (economic, social, political, demographic, and environmental drivers) and determine the internal mechanism in the decision process.

Soil and Crop Management Strategies to Ensure Higher Crop Productivity within Sustainable Environments

Peer-reviewed publication
декабря, 2018
Global

The rising population and reduction in the amount of land and some other resources have created tremendous pressure on current agricultural producers to meet the increasing food demands. To cope with this challenge, certain key inputs, such as fertilizers and other chemicals, are overused, which are worsening the surroundings. This intensive agricultural production without adherence to ecological sustainability has led to declining soil health, land degradation, and severe environmental problems.

Spatio-Temporal Pattern of Land Degradation along the China-Mongolia Railway (Mongolia)

Peer-reviewed publication
декабря, 2018
Mongolia
China

The increasingly serious problem of land degradation has a direct impact on the ecosystem and sustainable development in Mongolia. The influence of land degradation on the main China–Mongolia–Russia traffic arteries is currently unclear and poses a risk to the construction of transportation infrastructure. In this study, for the first time, we obtained land cover data from 1990, 2010, and 2015, at a 30 m, resolution based on the Landsat Thematic Mapper (TM) and Landsat Operational Land Imager (OLI) images along the China–Mongolia railway (Mongolia section).