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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
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).

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Resources

Displaying 826 - 830 of 1524

Dilemma Faced by Management Staff in China’s Protected Areas

Peer-reviewed publication
Diciembre, 2020
China

Protected areas (PAs) are designated to safeguard specific areas with natural and cultural values. Importantly, appropriate management is vital for PAs to achieve their conservation goals. Therefore, the management staff is essential for guaranteeing the successful management of PAs and delivering outstanding organizational performance. In China, staff faces many difficulties when conducting conservation activities because of an inefficient management system, and the lack of relevant laws and regulations.

Surface Runoff Responses to Suburban Growth: An Integration of Remote Sensing, GIS, and Curve Number

Peer-reviewed publication
Diciembre, 2020
Global

Suburban growth and its impacts on surface runoff were investigated using the soil conservation service curve number (SCS-CN) model, compared with the integrated advanced remote sensing and geographic information system (GIS)-based integrated approach, over South Kingston, Rhode Island, USA. This study analyzed and employed the supervised classification method on four Landsat images from 1994, 2004, 2014, and 2020 to detect land-use pattern changes through remote sensing applications. Results showed that 68.6% urban land expansion was reported from 1994 to 2020 in this suburban area.

Valuation Problems in Developing Countries: A New Perspective

Peer-reviewed publication
Diciembre, 2020
Kenya

Valuation problems, such as valuation inaccuracies/variations, client influence, and the use of heuristics, are common problems in property valuation practice globally. These problems have generated debate in recent times under the rubric of “behavioural issues in valuation”. This paper examines valuation problems in developing countries, as well as the current efforts that are undertaken to address these problems, with a view of determining the best approach to explain and/or address them.

The Demsetz’s Evolutionary Theory of Property Rights as Applied to Rural Land of China: A Supplement

Peer-reviewed publication
Diciembre, 2020
China

The main objective of this article is to contribute to the literature on land issues, especially with regard to the evolutionary theory of China’s rural land property rights. This article applies the Demsetz’s evolutionary theory of property rights as a framework into an analysis of the evolutionary process of property rights in rural land of China.

A Comparison of Approaches to Regional Land-Use Capability Analysis for Agricultural Land-Planning

Peer-reviewed publication
Diciembre, 2020
Niger

Smallholder agriculture is a major source of income and food for developing nations. With more frequent drought and increasing scarcity of arable land, more accurate land-use planning tools are needed to allocate land resources to support regional agricultural activity. To address this need, we created Land Capability Classification (LCC) system maps using data from two digital soil maps, which were compared with measurements from 1305 field sites in the Dosso region of Niger. Based on these, we developed 250 m gridded maps of LCC values across the region.