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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 606 - 610 of 1524

How Can the Risk of Misconduct in Land Expropriation for Tract Development Be Prevented and Mitigated: A Study of “Good Land Governance” Inspection in China

Peer-reviewed publication
December, 2021
China

In the context of China’s new round of land reform, narrowing the scope of land expropriation, standardising the procedures for land expropriation, and building a unified urban and rural construction land market have become the objectives of land expropriation reform. The new Land Management Law of the People’s Republic of China confirms land expropriation for tract development as a new situation for the land acquisition system.

Inconsistent Carbon Budget Estimation Using Dynamic/Static Carbon Density under Land Use and Land Cover Change: A Case Study in Henan Province, China

Peer-reviewed publication
December, 2021
China

The scientific estimation of carbon budgets induced by land use and land cover change (LUCC) can improve the accuracy of carbon budget estimates for terrestrial ecosystems and deepen our understanding of the future carbon sink potential of these ecosystems. Previous studies have typically selected one of many LUCC-induced carbon budget methods and overlooked the differences in the results between the different methods.

Land Use and Land Cover Change Assessment and Future Predictions in the Matenchose Watershed, Rift Valley Basin, Using CA-Markov Simulation

Peer-reviewed publication
December, 2021
Global

Land use and land cover change (LULC) is known worldwide as a key factor of environmental modification that significantly affects natural resources. The aim of this study was to evaluate the dynamics of land use and land cover in the Matenchose watershed from the years 1991, 2003, and 2020, and future prediction of land use changes for 2050. Landsat TM for 1991, ETM+ for 2003, and Landsat-8 OLI were used for LULC classification for 2020. A supervised image sorting method exhausting a maximum likelihood classification system was used, with the application using ERDAS Imagine software.

The Scale and Revenue of the Land-Use Balance Quota in Zhejiang Province: Based on the Inverted U-Shaped Curve

Peer-reviewed publication
December, 2021
China

The project-based construction land-use policy of ‘increasing versus decreasing balance’ (IVDB) is pivotal to easing the contradiction between urban and rural land in China. Understanding the relationship between the scale and revenue of the balanced quota is crucial for increasing the efficiency of quota-allocated, and further improving, IVDB performance. However, existing studies have rarely revealed the impact of the balanced quota’s scale on its revenue, supported through empirical evidence.

Simulating the Coupling of Rural Settlement Expansion and Population Growth in Deqing, Zhejiang Province, Based on MCCA Modeling

Peer-reviewed publication
December, 2021
China

Analyzing the relationship between rural settlements and rural population change under different policy scenarios is key in the sustainable development of China’s urban and rural areas. We proposed a framework that comprised the mixed land use structure simulation (MCCA) model and the human–land coupling development model to assess the spatiotemporal dynamic changes in rural settlements and its’ coupling relationship with the rural population in the economically developed region of Deqing, Zhejiang Province.