Spatial and socioeconomic characteristics of CO2 emissions and sequestration in Indonesian cities

Towards carbon neutrality: Enhancing CO2 sequestration by plants to reduce carbon footprint

To achieve carbon neutrality and address climate change effectively, strategies emphasizing plant-based CO2 sequestration are essential. This research integrates process optimization, sustainable practices, and technological innovations to augment plants' natural CO2 absorption, thereby enhancing ecosystem carbon storage and aiding in greenhouse gas (GHG) mitigation. The study highlights the critical role of merging process integration with sustainable farming, precision agriculture, and bioengineering to enhance CO2 sequestration. The research emphasizes employing Life Cycle Assessment (LCA) and Carbon Footprint Analysis (CFA) as vital tools for quantifying CO2 sequestration strategies' environmental benefits and effectiveness, ensuring a comprehensive approach to cleaner production and waste management. By examining case studies and models, this research assesses the contribution of these approaches to reducing carbon footprints and advancing towards carbon neutrality. The findings advocate for a cohesive strategy that blends technological advancements with sustainable agricultural practices, aimed at reducing global carbon emissions and achieving carbon neutrality.

Exploring dynamics relationship between carbon emissions and eco-environmental quality in Samarinda Metropolitan Area: A spatiotemporal approach

Carbon emissions have a negative impact on climate change. Environmental quality has faced significant challenges in the last decades. Eco-environmental quality helps assess the condition of the ecological environment to support humans' civilization and development. By using emissions raster dataset, remote sensing images, and LULC data, this study explores the status of carbon emissions (CE), eco-environmental quality (RSEICs), and the dynamic relationship between both variables in Samarinda Metropolitan Area, Indonesia. This study uses the spatiotemporal approach to deepen the understanding of CE-RSEICs during 2000-2021. The methods include the analysis of CE and the principal component of RSEICs. To understand the CE-RSEICs spatial features, the directional distribution ellipse method is used. Also, this study performs CE-RSEICs coupling analysis and identifies its LULC type composition. The findings show that CE status is still on an increasing trend, concentrating in the eastern region and keeping expanding during the period. The location of the low-emission ellipse is in the southwest, while the high-emission ellipse is in the east and intersects with the core cities. The mean RSEICs value is between 0.2878 to 0.4223, which indicates that the eco-environmental quality is categorized as fairly poor to inferior. Greenness, wetness, and Csink have a positive impact on RSEICs. The very poor-class ellipse is located in the inland region, and the very good-class ellipse is in the coastal area. The CE-RSEICs coupling status shows that the majority of the area has a weaker coupling degree. However, the higher coupling degree is concentrated in the population center and built-up region, which is the settlement area. The dominance composition of settlement area in higher coupling degree shows that settlement area has an impact on increasing CE-RSEICs coupling degree. So, sustainable low carbon development in coastal metropolitan area must continue to be carried out by considering CE-RSEICs and its spatial aspects.