Passar para o conteúdo principal

page search

Community Organizations Sustainability
Sustainability
Sustainability
Journal
Phone number
+41 61 683 77 34

Location

St. Alban-Anlage 66
4052
Basel
Switzerland
Working languages
inglês
Affiliated Organization

 

 

Sustainability (ISSN 2071-1050; CODEN: SUSTDE) is an international, cross-disciplinary, scholarly and open access journal of environmental, cultural, economic, and social sustainability of human beings. Sustainabilityprovides an advanced forum for studies related to sustainability and sustainable development, and is published monthly online by MDPI. 

 

Sustainability is an Open Access journal.

 

    Members:

    Resources

    Displaying 96 - 100 of 498

    I Can Feel Your Pain: Investigating the Role of Empathy and Guilt on Sustainable Behavioral Intentions to Reduce, Reuse, and Recycle Plastic Bags among College Students

    Peer-reviewed publication
    Dezembro, 2022
    Global

    Plastic bag pollution in the marine environment is an urgent issue that has negatively impacted the sustainability of marine biodiversity. Studying effective ways to design advocacy messages that can promote individuals’ intentions to reduce, reuse, and recycle plastic bags in order to mitigate plastic bag pollution in the effort to help restore marine biodiversity is necessary. Utilizing emotional appeal messages, such as messages that are designed to elicit audiences’ feelings of empathy, can promote a variety of pro-environmental behaviors.

    Study on the Identification and Classification of Key Influencing Factors of Debris-Flow-Prone Areas in Liaoning Province Based on Self-organizing Clustering and Sensitivity Analysis

    Peer-reviewed publication
    Dezembro, 2022
    Global

    Due to the characteristics of sudden occurrence, fast disaster speed, and severe damage, debris-flow disasters can easily result in the loss of human lives and cause serious damage to property and social infrastructure. In this study, taking the debris-flow events in Liaoning province from 1960 to 2020 as the study period, the natural geographical characteristics and key influencing factors of the debris-flow-prone areas were explored utilizing the self-organization mapping clustering method and nonlinear global sensitivity analysis.

    Mapping LULC Dynamics and Its Potential Implication on Forest Cover in Malam Jabba Region with Landsat Time Series Imagery and Random Forest Classification

    Peer-reviewed publication
    Dezembro, 2022
    Pakistan

    Pakistan has an annual deforestation rate of 4.6% which is the second highest in Asia. It has been described by the Food and Agriculture Organization (FAO) that the deforestation rate increased from 1.8–2.2% within two decades (1980–2000 and 2000–2010). KPK (Khyber Pakhtunkhwa), Pakistan’s northwestern province, holds 31% of the country’s total forest resources, the majority of which are natural forests. The Malam Jabba region, known for its agro-forestry practices, has undergone significant changes in its agricultural, forestry, and urban development.

    Research on Forest Carbon Sink Potential in China

    Peer-reviewed publication
    Dezembro, 2022
    Macao S.A.R
    Hong Kong
    China

    The original variables were 14 statistics in 31 provinces and cities in mainland China (excluding Hong Kong, Macao and Taiwan) in 2019, including forest area, forest tending area, afforestation area and timber production. Factor analysis was used to study the factors affecting development potential of forest carbon sinks in mainland China.

    Study on the Restoration of Ecological Environments in Mining Area Based on GIS Technology

    Peer-reviewed publication
    Dezembro, 2022
    Global

    Taking Erdaojiang and Dongchang District of Tonghua City, Jilin Province as examples, this paper studies the ecological environment restoration and governance model of their mining areas. In this paper, the vegetation cover (NDVI) data in the past ten years were selected from the study area. The Theil–Sen median and Mann–Kendall (MK) methods were used to analyze the time series of NDVI, and the vegetation cover change trend map of the study area was obtained.