scholarly journals Spatial Pattern and Factor Analyses for Forest Sustainable Development Goals within South Korea’s Civilian Control Zone

2018 ◽  
Vol 10 (10) ◽  
pp. 3500 ◽  
Author(s):  
Jinwoo Park ◽  
Jungsoo Lee
Keyword(s):  
Sustainable Development ◽  
Forest Management ◽  
Land Cover ◽  
Sustainable Development Goals ◽  
Equation Modeling ◽  
Civilian Control ◽  
Forest Change ◽  
Hotspot Analysis ◽  
Control Zone ◽  
Development Goals

The United Nations’ Sustainable Development Goals (SDGs) offer specific guidelines for improving sustainable forest management, especially Goal 15. Goal 15 protects, restores and promotes the sustainable use of land ecosystems, manages forests sustainably, prevents was against desertification, stops and reverses land degradation and prevents biodiversity loss. The Civilian Control Zone (CCZ) south of the Demilitarized Zone (DMZ) separating North and South Korea has functioned as a unique biological preserve due to traditional restrictions on human use but is now increasingly threatened by deforestation and development. We used hot spot analysis and structural equation modeling (SEM) to analyze spatial patterns of forest land use and land cover (LULC) change and variables influencing these changes, within the CCZ. Remote sensing imagery was used to develop land cover classification maps (2010 and 2016) and a GIS database was established for three change factors (topography, accessibility and socioeconomic characteristics). As a result of Hotspot analysis, Hotspots of change were distributed mainly due to agricultural activities and the development of forest and expansion of villages. Subsequent factor analysis revealed that accessibility had greater influence (−0.635) than the other factors. Among the direct factors, change to bare land had the greatest impact (−0.574) on forest change. These results shed light on forest change patterns and causes in the CCZ and provide practical data for efficient forest management in this area with regards to the SDGs.

Making the Case for Reforms of Forestry Policy and Law: Lessons and Experiences from Nigeria

2021 ◽  
pp. 1-9
Author(s):  
Bola Fajemirokun
Keyword(s):  
Sustainable Development ◽  
Forest Management ◽  
Sustainable Management ◽  
Sustainable Development Goals ◽  
Sustainable Forest Management ◽  
Terrestrial Ecosystems ◽  
Forestry Policy ◽  
2030 Agenda ◽  
Forestry Sector ◽  
Development Goals

The 2030 Agenda for Sustainable Development incorporates 17 Sustainable Development Goals (SDGs). Goal 15 (SDG 15) focuses on terrestrial ecosystems. Regarding forests, it sets targets requiring signatories to promote the implementation of the sustainable management of all types of forests by 2020 and further mobilize significant resources from all sources to achieve sustainable forest management. The United Nations Strategic Plan for Forests 2017 – 2030 advances the vision of SDG 15. Nigeria’s high demographic growth rate has led to the surging demand for land to support settlements and farming. Coupled with extensive illegal or uncontrolled logging, the annual forest net loss of 5% is one of the highest rates globally in percentage terms. This paper is a critical analysis of the policy-law interface of the forestry sector in Nigeria. It examines the country’s trajectory or state of preparedness for sustainable forest management, and it concludes that forestry policy and law in Nigeria must undergo urgent reforms so that the forest commitments such as those under SDG 15 and other regional and global instruments can be ultimately achieved.

scholarly journals Modelling land system evolution and dynamics of terrestrial carbon stocks in the Luanhe River Basin, China: a scenario analysis of trade-offs and synergies between sustainable development goals

2021 ◽  
Author(s):  
Jiren Xu ◽  
Fabrice G. Renaud ◽  
Brian Barrett
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Land Cover ◽  
River Basin ◽  
Urban Growth ◽  
Sustainable Development Goals ◽  
Luanhe River Basin ◽  
Land System ◽  
Trade Offs ◽  
Development Goals

AbstractA more holistic understanding of land use and land cover (LULC) will help minimise trade-offs and maximise synergies, and lead to improved future land use management strategies for the attainment of Sustainable Development Goals (SDGs). However, current assessments of future LULC changes rarely focus on the multiple demands for goods and services, which are related to the synergies and trade-offs between SDGs and their targets. In this study, the land system (combinations of land cover and land use intensity) evolution trajectories of the Luanhe River Basin (LRB), China, and major challenges that the LRB may face in 2030, were explored by applying the CLUMondo and InVEST models. The results indicate that the LRB is likely to experience agricultural intensification and urban growth under all four scenarios that were explored. The cropland intensity and the urban growth rate were much higher under the historical trend (Trend) scenario compared to those with more planning interventions (Expansion, Sustainability, and Conservation scenarios). Unless the forest area and biodiversity conservation targets are implemented (Conservation scenario), the forest areas are projected to decrease by 2030. The results indicate that water scarcity in the LRB is likely to increase under all scenarios, and the carbon storage will increase under the Conservation scenario but decrease under all other scenarios by 2030. Our methodological framework and findings can guide regional sustainable development in the LRB and other large river basins in China, and will be valuable for policy and planning purposes to the pursuance of SDGs at the sub-national scale.

scholarly journals Stimulating Implementation of Sustainable Development Goals and Conservation Action: Predicting Future Land Use/Cover Change in Virunga National Park, Congo

2020 ◽  
Vol 12 (4) ◽  
pp. 1570 ◽  
Author(s):  
Mads Christensen ◽  
Jamal Jokar Arsanjani
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Land Cover ◽  
National Park ◽  
Sustainable Development Goals ◽  
Land Use Changes ◽  
Land Cover Changes ◽  
2030 Agenda ◽  
Development Goals ◽  
Land Cover Maps

The United Nations 2030 Agenda for Sustainable Development and the Sustainable Development Goals (SDG’s) presents a roadmap and a concerted platform of action towards achieving sustainable and inclusive development, leaving no one behind, while preventing environmental degradation and loss of natural resources. However, population growth, increased urbanisation, deforestation, and rapid economic development has decidedly modified the surface of the earth, resulting in dramatic land cover changes, which continue to cause significant degradation of environmental attributes. In order to reshape policies and management frameworks conforming to the objectives of the SDG’s, it is paramount to understand the driving mechanisms of land use changes and determine future patterns of change. This study aims to assess and quantify future land cover changes in Virunga National Park in the Democratic Republic of the Congo by simulating a future landscape for the SDG target year of 2030 in order to provide evidence to support data-driven decision-making processes conforming to the requirements of the SDG’s. The study follows six sequential steps: (a) creation of three land cover maps from 2010, 2015 and 2019 derived from satellite images; (b) land change analysis by cross-tabulation of land cover maps; (c) submodel creation and identification of explanatory variables and dataset creation for each variable; (d) calculation of transition potentials of major transitions within the case study area using machine learning algorithms; (e) change quantification and prediction using Markov chain analysis; and (f) prediction of a 2030 land cover. The model was successfully able to simulate future land cover and land use changes and the dynamics conclude that agricultural expansion and urban development is expected to significantly reduce Virunga’s forest and open land areas in the next 11 years. Accessibility in terms of landscape topography and proximity to existing human activities are concluded to be primary drivers of these changes. Drawing on these conclusions, the discussion provides recommendations and reflections on how the predicted future land cover changes can be used to support and underpin policy frameworks towards achieving the SDG’s and the 2030 Agenda for Sustainable Development.

scholarly journals Monitoring Land Cover Change: Towards Sustainability

Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1356
Author(s):  
Ioannis Manakos ◽  
Garik Gutman ◽  
Chariton Kalaitzidis
Keyword(s):  
Sustainable Development ◽  
Land Cover ◽  
United Nations ◽  
Land Cover Change ◽  
Sustainable Development Goals ◽  
Member States ◽  
2030 Agenda ◽  
Development Goals ◽  
The United Nations

In 2015, the United Nations member states adopted the 2030 Agenda, within which the 17 Sustainable Development Goals (SDGs) were established, with many of these goals calling for further research into sustainability [...]

scholarly journals A Confirmatory Framework PLS-SEM for Construction Waste Reduction as Part of Achieving Sustainable Development Goals of a Building

2021 ◽  
Author(s):  
Musa Mohammed ◽  
Nasir Shafiq ◽  
Ali Elmansoury ◽  
Noor Amila wan Abdallah Zawawi ◽  
Abubakar Muhammad
Keyword(s):  
Sustainable Development ◽  
Waste Management ◽  
Construction Industry ◽  
Sustainable Development Goals ◽  
Strong Relationship ◽  
Design Stage ◽  
Equation Modeling ◽  
Related Factors ◽  
Construction Waste ◽  
Development Goals

As a result of rapid population growth, an exponentially growing human population, and industrial expansion, it has become increasingly difficult to manage municipal solid wastes throughout the world. Decentralized waste management systems have created difficult situations in developing countries such as Malaysia. Wastes generated in the country, due to various cultural, social, and religious activities, organic and contributing to environmental pollution (air, water, and soil) and human health troubles. A questionnaire survey was participated by 220 construction professionals in Malaysia using structured and semi-structured methods. The framework was assessed using A partial least square structural equation modeling (PLS-SEM) to target sustainable development goals (SDG). Statistical analysis results indicate a significant effect between SCW management, since(r(270)=.687, P<0.001). Improving factors has strong relationship with SCW management, since(r(270)=.723, P<0.001). The mediation results also suggested a significant indirect positive effect of improving factors drivers on SCW management through policy-related factors sinceβ=0.688, t=8.254, P<0.001, 95% CI for β=0.536,0.866. Finally, policy-related factors construct has a strong relationship with SCWM) management, since(r(270)=.811, P<0.001) With the R Square of 0.787 and 0.785. The developed framework can improve construction waste management in the construction industry and enhance construction waste management to achieve global sustainable development goals. The findings show that one of the most critical issues of enhancing profitability is using preventive policies to reduce construction waste. This study could guide construction industry stakeholders in identifying the different waste management features during a building project's construction and design stage

scholarly journals Green Brand of Companies and Greenwashing under Sustainable Development Goals

2020 ◽  
Vol 12 (4) ◽  
pp. 1679 ◽  
Author(s):  
Tetyana Pimonenko ◽  
Yuriy Bilan ◽  
Jakub Horák ◽  
Liudmyla Starchenko ◽  
Waldemar Gajda
Keyword(s):  
Sustainable Development ◽  
Structural Equation ◽  
Sustainable Development Goals ◽  
Equation Modeling ◽  
Load Factor ◽  
Local Market ◽  
Significant Variable ◽  
Variable Loading ◽  
Development Goals ◽  
The Impact

Implementing Sustainable Development Goals (SDGs) and increasing environmental issues provokes changes in consumers’ and stakeholders’ behavior. Thus, stakeholders try to invest in green companies and projects; consumers prefer to buy eco-friendly products instead of traditional ones; and consumers and investors refuse to deal with unfair green companies. In this case, the companies should quickly adapt their strategy corresponding to the new trend of transformation from overconsumption to green consumption. This process leads to increasing the frequency of using greenwashing as an unfair marketing instrument to promote the company’s green achievements. Such companies’ behavior leads to a decrease in trust in the company’s green brand from the green investors. Thus, the aim of the study is to check the impact of greenwashing on companies’ green brand. For that purpose, the partial least-squares structural equation modeling (PLS-PM), content analysis and Fishbourne methods were used. The dataset for analysis was obtained from the companies’ websites and financial and non-financial reports. The objects of analysis were Ukrainian large industrial companies, which work not only in the local market but also in the international one. The findings proved that a one point increase in greenwashing leads to a 0.56 point decline in the company’s green brand with a load factor of 0.78. The most significant variable (loading factor 0.34) influencing greenwashing was the information at official websites masking the company’s real economic goals. Thus, a recommendation for companies is to eliminate greenwashing through the publishing of detailed official reports of the companies’ green policy and achievements.

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