Community Resilience and Adaptive Capacity: An Integrative Perspective

The aim of this paper is to examine the adaptive capacity for community resilience. Adaptive capacity supports the residents of a local community to survive and recover during and after a disaster. The holistic view of community resilience is seen as personal attributes possessed by community residents which enables them to survive during and after a disaster. Reviewed articles and other secondary sources that discussed on the topic of community resilience and adaptive capacity were used for this study through content analysis and empirical evidence. The discussion of the theories in this paper shed more light towards understanding the four-way adaptive capacity. Community resilience increases the chance of community adaptation during and after a disaster. This study will encourage private businesses and professional individuals to become part of a community by providing them with resources needed to survive in the face or after a disaster. It will also contribute to related research in the future which focuses on adaptive capacity for community resilience.

Long range PCR reveals the genetic cargo of IncP-1 plasmids in the complex microbial community of an on-farm biopurification system treating pesticide contaminated wastewater

Promiscuous plasmids like IncP-1 plasmids play an important role in the bacterial adaptation to pollution by acquiring and distributing xenobiotic catabolic genes. However, most information comes from isolates and the role of plasmids in governing community-wide bacterial adaptation to xenobiotics and other adaptive forces is not fully understood. Current information on the contribution of IncP-1 plasmids in community adaptation is limited because methods are lacking that directly isolate and identify the plasmid borne adaptive functions in whole-community DNA. In this study, we optimized long range PCR to directly access and identify the cargo carried by IncP-1 plasmids in environmental DNA. The DNA between the IncP-1 backbone genes trbP and traC , a main insertion site of adaptive trait determinants, is amplified and its content analysed by high-throughput sequencing. The method was applied to DNA of an on-farm biopurification system (BPS), treating pesticide contaminated wastewater, to examine whether horizontal gene exchange of catabolic functions by IncP-1 plasmids is a main driver of community adaptation in BPS. The cargo recovered from BPS community DNA, encoded catabolic but also resistance traits and various other (un)known functions. Unexpectedly, catabolic traits composed only a minor fraction of the cargo, indicating that the IncP-1 region between trbP and traC is not a major contributor to catabolic adaptation of the BPS microbiome. Instead, it contains a functionally diverse set of genes which either may assist biodegradation functions, be remnants of random gene recruitment, or confer other crucial functions for proliferation in the BPS environment. IMPORTANCE This study presents a long range PCR for direct and cultivation-independent access to the identity of the cargo of a major insertion hot spot of adaptive genes in IncP-1 plasmids and hence a new mobilome tool for understanding the role of IncP-1 plasmids in complex communities. The method was applied to DNA of an on-farm biopurification system (BPS) treating pesticide-contaminated wastewater, aiming at new insights on whether horizontal exchange of catabolic functions by IncP-1 plasmids is a main driver of community adaptation in BPS. Unexpectedly, catabolic functions represented a small fraction of the cargo genes while multiple other gene functions were recovered. These results show that the cargo of the target insertion hot spot in IncP-1 plasmids in a community, not necessarily relates to the main selective trait imposed on that community. Instead these functions might contribute to adaptation to unknown selective forces or represent remnants of random gene recruitment.

Absorptive capacity facilitates adaptation to novel environmental disasters

Absorptive capacity–the ability to learn and apply external knowledge and information to acquire material resources–is an essential but overlooked driver in community adaptation to new and unprecedented disasters. We analyzed data from a representative random sample of 603 individuals from 25 coastal communities in Louisiana affected by the Deepwater Horizon oil spill. We used simultaneous equation models to assess the relationship between absorptive capacity and resource acquisition for affected individuals after the disaster. Results show that the diversity of individuals’ prior knowledge coupled with the community’s external orientation and internal cohesion facilitate resource use. They go beyond simply providing resources and demonstrate individual and community features necessary for absorbing information and knowledge and help devise adaptation strategies to address the dynamics of changing economic, social, and political environment after the disaster.

Metabarcoding Reveals Lacustrine Picocyanobacteria Respond to Environmental Change Through Adaptive Community Structuring

Picocyanobacteria (Pcy) are important yet understudied components of lake foodwebs. While phylogenetic studies of isolated strains reveal a high diversity of freshwater genotypes, little is known about abiotic drivers associated with Pcy in different lakes. Due to methodological limitations, most previous studies assess potential drivers using total cell abundances as a response, with often conflicting and inconsistent results. In the present study, we explored how picocyanobacterial communities respond to environmental change using a combination of epifluorescence microscopy and community data determined using 16S rRNA gene metabarcoding. Temporal shifts in picocyanobacterial abundance, diversity and community dynamics were assessed in relation to potential environmental drivers in five contrasting lakes over 1year. Cell abundances alone were not consistently related to environmental variables across lakes. However, the addition of metabarcoding data revealed diverse picocyanobacterial communities that differed significantly between lakes, driven by environmental variables related to trophic state. Within each lake, communities were temporally dynamic and certain amplicon sequence variants (ASVs) were strongly associated with specific environmental drivers. Rapid shifts in community structure and composition were often related to environmental changes, indicating that lacustrine Pcy can persist at high abundances through collective community adaptation. These results demonstrate that a combination of microscopy and metabarcoding enables an in-depth characterisation of picocyanobacterial communities and reveals strain-specific drivers. We recommend that future studies cease referring to picocyanobacterial as one functional group and take strain specific variability into consideration.

The community adaptation strategy in dealing with landslide disaster in Banaran Village Ponorogo Regency

A landslide disaster occurred in Tangkil, Banaran Village, Ponorogo Regency on April 1st, 2017 which caused many casualties. The objectives of this research were to determine the factors that caused the landslide and to determine the community adaptation strategy in dealing with landslide. This research applied descriptive qualitative method with its data collection included observation, interview, and documentation. The research results showed, 1) the factors causing landslide were steep slopes, fertile rocks and soils, land conversion, high rainfall, and human activities, 2) the community adaptation strategy involved adaptation and adjustment in dealing with landslide. The impacts of landslide have been felt by the community thus, they could change their behavior towards their environment and make adjustments to the new environment.

Impact of Coastal Flood on Building, Infrastructure, and Community Adaptation in Bukit Bestari Tanjungpinang

Coastal flood in Indonesia, namely as banjir rob, is a phenomenon that increases seawater to inundate around the tidal area. In Tanjungpinang, cases of coastal floods become a serious problem for people living in this area. This research aims to model the coastal flood inundation by modeling water inundation with a maximum level increase scenario. Its model was used to estimate coastal floods' impact on houses, buildings, and infrastructures with scenario 2 meters of sea-level rise. On the other hand, the budget loss for restoration was estimated to study the effort of community adaptations with the ECLAC RAB method and observation to understand community adaptation. It was found that the spatial model succeeded in zoning inundation areas, which had a significant impact on houses, buildings, worship places, schools, and industrial at many 4112 units. From this case, the budget loss for the restoration of the physical environment was estimated at around 61994014.75 USD. In addition, the survey revealed the existing condition before and after the coastal flood. Several community efforts for adaptation were developing houses on stilt and hoarding the lowest land on-site location for build houses.

Editorial: Community Adaptation to Photobiomodulation Near-Infrared Based on Post-Partum Culture Care

Editorial: Community Adaptation to Photobiomodulation Near-Infrared Based on Post-Partum Culture Care