The paper narrates a systematic literature review on ‘’mangrove ecosystem services’’ to identify their typology, distribution, and utilization within the contemporary scientific literature. We performed a systematic review of 76 research articles derived from the Scopus database, and the dataset was scrutinized and classified against the four major categories of ecosystem services, namely provisioning, regulating, cultural, and supporting services, as per the Millennium Ecosystem Assessment (2005). We attempted to determine the existing state of the interconnectedness of mangrove ecosystem services by mapping the potential synergies and trade-offs. Further, an attempt was made to understand the critical linkages between mangrove ecosystem services and their contribution to the localization/achievement of the Sustainable Development Goals (SDGs). The results suggest disproportionate distribution of scientific literature, where nearly 56 of the studies were concentrated in Asia. The recognition of regulating the services of mangroves, particularly in carbon storage and disaster risk reduction, outnumbered the other types of ecosystem services. In particular, studies related to mangroves’ cultural ecosystem services remain underrepresented. The results show a strong correlation in terms of synergies between the coastal protection ecosystem services and the high carbon sequestration ability of mangroves; and the trade-off between facilitating water transport services and the provision of fresh water. Of the 17 SDGs, three SDGs, namely, SDG 12 (responsible consumption and production), SDG 13 (climate action), and SDG 14 and 15 (life below water and life on land) showed close interrelationships with the existing database. As such, the results are beneficial for coastal planners to better integrate and mainstream mangrove ecosystem services into coastal and regional planning, by maximizing synergies, encouraging the involvement of coastal communities as well as elaborating ameliorative adaptive measures.

After decentralization, there was massive development in Jakarta megacity’s outer suburbs (JMOS), especially in Bekasi and Tangerang regencies, marked by large-scale industrial estate/park (LSIEP) and followed by new town developments. However, this process led to the emergence of “chaotic” urban-rural land patterns. This study sought to identify the extent to which LSIEP development has affected rural-urban land transformation (RULT). The primary data were land use/cover (LUC) data from 2005, 2015, and 2020 and the LSIEP distributions. The methods applied are the Patch-generating Land Use Simulation (PLUS) model for 2025’s LUC prediction and the RULT index approach, RULT index development using the analytical hierarchy process. These combined approaches were novel in Indonesia, which usually relies on Cellular Automata (CA)-Markov, overlay (spatial), and descriptive statistics analyses to describe the RULT phenomenon. It was found that the villages located around the LSIEP close to the Jakarta megacity toll road network and those adjacent to the municipality (city) had been transformed into urban areas, while villages far from those locations were still rural. This study’s results help clarify the rural to urban transformation in Jakarta megacity’s outer suburbs and could be used as input for spatial planning policy.

Indigenous knowledge of local environments is crucial for developing innovative and contextual climate change adaptation strategies. Although the significance of community-led efforts based on this knowledge has been well acknowledged, they have not been effectively incorporated into mainstream development processes. The mountainous region of Ladakh presents a novel case of water storage in the form of ice reservoirs as an adaptive strategy against intensified water scarcity. This study aims to assess community-based innovations in climate change adaptation strategies and find solutions for their effective integration. This study theorizes a framework for Social Innovation in Climate Change Adaptation (SICCA) for a structured analysis of the situation in Ladakh. This research was conducted through interviews, surveys, Geographic Information System-based mapping, and field observations to analyze the use of ice reservoirs as a solution to water scarcity issues. The results demonstrate the wide recognition of these techniques’ effectiveness and the role of the community in the planning, execution, and operation of the initiatives. The findings highlight the challenges in their scaling up and diffusion. The research emphasizes the need to recognize and value community-based adaptation strategies to address the challenges posed by climate change. It offers recommendations for integrating them into the mainstream development process, and the framework serves as a significant outcome to guide policymakers and civil society actors for practical implementation.

Although uneven regional development has long been an issue in Java, most parts of the territory experienced an increased level of development over the last two decades. Due to the variance in local background and spatial heterogeneity, the driving factors of the development level should, theoretically, vary over space. Therefore, in this study, we aim to investigate the local factors that influence the development level of Java’s regions. We used the spatiotemporal pattern analysis, ordinary least squares (OLS) regression, and geographically weighted regression (GWR), utilizing the regional development index as the predicted variable, and the social level, economy, infrastructure, land use, and environmental barriers as predictors. As per our results, it was found that the level of development in Java has improved over the past two decades. Metropolitan areas continued to lead this improvement. All the predictors that we examined significantly affected regional development. However, the spatial pattern of the local regression coefficients of Human Development Index (HDI), landslide, paddy conversion, and crime shifted due to changes in the spatial concentration of development activities.

The urban form is the physical configuration of a city, developed over time and space. Urban form can be considered at different scales, from region to neighborhood, each carrying a different focus. North Cianjur serves as the hinterland and one of the conurbation corridors of the Jakarta–Bandung Mega-Urban Region, meaning that the balance between its function as an environmental buffer area and the destination of urban growth needs to be planned carefully. This paper explores the dynamics in North Cianjur and employs several model scenarios as a planning intervention using landscape dynamic tools and land-change modeling, with three scenarios employed: Business as Usual (BAU), Spatial Planning Policy (SPP), and Urban Containment (UCT). The result show that North Cianjur has transformed into a polycentric region with two urban zones, a peri-urban zone, and a rural zone in the northernmost part of the region. Urban form trends show a sprawling built-up pattern outside urban zones, and a compacted trend in urban zones due to expansion from the Jakarta and Bandung Metropolitan Area. UCT models appear to be the most optimal for implementation in North Cianjur, representing a way to accommodate urban growth and expansion inside the urban center while still maintaining regional sustainability.

Jakarta–Bandung Mega Urban Region (JBMUR), located in the western part of Java Island, Indonesia, is experiencing rapid regional development which can be observed from its increase in population density, massive changes of land-use from agricultural land into built-up area, rapid development of infrastructure and facilities, and advances in economic activities. Unfortunately, problems related to sustainability emerge along with this rapid regional development, primarily in decrease in environmental quality and social performance, leading to unsustainable development. This study aims: (1) to develop indicators promoting sustainable development at the subdistrict level, named the local sustainability index (LSI), utilizing factor analysis; (2) to observe local-scale spatial interdependency by employing local indicator of spatial association (LISA) statistics; and (3) to identify regional clusters based on LSI scores using K-means clustering method. Our LISA results show that spatial interdependency of local sustainability performances exists between local-scale spatial units: the LSI of a subdistrict is influenced by the sustainability state of the surrounding areas. Meanwhile, the clustering results show that most subdistricts in JBMUR are categorized as members of cluster 1 with low LSI values in economic and social dimensions but moderate in environmental dimensions.