Aller au contenu 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
anglais

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 881 - 885 of 1524

When the Past Lives in the Present. Agrarian Landscapes and Historical Social Dynamics in the Southern Andes (Quebrada de Humahuaca, Jujuy, Argentina)

Peer-reviewed publication
Décembre, 2020
Argentina

This article examines the agrarian landscape in one part of the southern Andes (Quebrada of Humahuaca, Jujuy, Argentina). The region possesses extensive and well-preserved archaeological remains of agricultural systems, which stretch back to pre-Hispanic times. In this study, we employ an interdisciplinary approach in our analysis of the components that structure the agrarian landscape, especially those historical processes that intervened in its formation.

The Role of High-Volume Ranches as Cattle Suppliers: Supply Chain Connections and Cattle Production in Mato Grosso

Peer-reviewed publication
Décembre, 2020
Global

Brazil’s zero-deforestation Cattle Agreements (CAs) have influenced the supply chain but their impact on deforestation has been limited in part because slaughterhouses monitor deforestation only on the properties they buy from directly. Consequently, deforestation continues to enter the supply chain indirectly from properties that are not monitored. Knowledge gaps and data limitations have made it challenging to close this loophole and achieve meaningful reductions in deforestation.

Spatial Targeting of Agricultural Support Measures: Indicator-Based Assessment of Coverages and Leakages

Peer-reviewed publication
Décembre, 2020
Mexico

Agricultural support programs distribute payments to farms based on a diverse set of policy objectives. Adequate targeting of this support to priority areas is key to efficient and effective policy. We evaluated the targeting strategy of a national-level program in Mexico that distributed support based on seven criteria that prioritized poor smallholder farming communities at high risk of cropland failure. We used a series of logistic models to assess the coverage and leakage rates of the program’s targeting strategy and found rates of about 80 and 20 percent, respectively.

Changes in the Country and Their Impact on Topographic Data of Agricultural Land—A Case Study of Slovakia

Peer-reviewed publication
Décembre, 2020
Slovakia

Due to natural phenomena as well as human activities, changes are occurring in land use. Techniques and environment GIS have made it possible to process large amounts of data from various sources. In Slovakia, mapping of topography and elevation is being carried out as part of the elaboration of land readjustment projects. This is also a starting point for updating estimated pedologic-ecological units (EPEUs).

Land Use Transitions and Farm Performance in China: A Perspective of Land Fragmentation

Peer-reviewed publication
Décembre, 2020
China

Land fragmentation (LF) is widespread worldwide and affects farmers’ decision-making and, thus, farm performance. We used detailed household survey data at the crop level from ten provinces in China to construct four LF indicators and six farm performance indicators. We ran a set of regression models using OLS methods to analyse the relationship between LF and farm performance.