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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 796 - 800 of 1524

Integrating Ecosystem Services Valuation into Land Use Planning: Case of the Ukrainian Agricultural Landscapes

Peer-reviewed publication
December, 2020
Ukraine

Modern agricultural landscapes produce multiple ecosystem services. Ecosystem services in agricultural landscapes have social, economic, and environmental value—providing a wide array of benefits to society. Absence of scientifically based and practically tested methodologies of identification, mapping, and evaluation of ecosystem services in agricultural landscapes hamper integration of its values in the current system of land use planning.

Monitoring Urban Expansion and Urban Green Spaces Change in Addis Ababa: Directional and Zonal Analysis Integrated with Landscape Expansion Index

Peer-reviewed publication
December, 2020
Ethiopia

Addis Ababa, the capital of Ethiopia, is urbanizing very fast. This study aimed to assess urban expansion and Urban Green Spaces (UGS) change in the city from 1989 to 2019. Remote Sensing and Geographical Information System (GIS) and Landscape Expansion Index (LEI) were used to extract Land Use Land Cover (LULC) data, measure urban expansion and UGS change and analyze urban growth pattern in inner zone, outer zone and eight quadrants.

Spatially Explicit Kirtland’s Warbler Habitat Management Scheduling in Michigan’s Upper Peninsula

Peer-reviewed publication
December, 2020
Global

A spatially explicit management strategy is presented for Kirtland’s Warbler (Setophaga kirtlandii) habitat on the Hiawatha National Forest in Michigan’s Upper Peninsula. The Hiawatha National Forest has a goal of continuously providing large patches of dense young jack pine for Kirtland’s warbler breeding habitat. The problem is challenging as patches of suitable habitat are relatively short lived, forcing large shifts in the location of large patches in the future.

Palaeoecology as a Tool for the Future Management of Forest Ecosystems in Hesse (Central Germany): Beech (Fagus sylvatica L.) versus Lime (Tilia cordata Mill.)

Peer-reviewed publication
December, 2020
Global

In the Central German Uplands, Fagus sylvatica and Picea abies have been particularly affected by climate change. With the establishment of beech forests about 3000 years ago and pure spruce stands 500 years ago, they might be regarded as ‘neophytes’ in the Hessian forests. Palaeoecological investigations at wetland sites in the low mountain ranges and intramontane basins point to an asynchronous vegetation evolution in a comparatively small but heterogenous region.

Landscape Ecological Risk Assessment Based on LUCC—A Case Study of Chaoyang County, China

Peer-reviewed publication
December, 2020
China

The ecological environment is suffering from great human disturbance. Scientific assessment of landscape ecological risks can provide scientific guidance for land use management. This study focused on Chaoyang County in China, used ecological risk assessment methods to characterize the impact of land use/land cover (LUCC) change, and revealed the risk aggregation pattern with the help of spatial autocorrelation analysis. The results showed that ecological risk was increased from 2000 to 2010 but decreased from 2010 to 2018.