Beverages prepared by fermenting plants have a long history of use for medicinal, social, and ritualistic purposes around the world. Socio-linguistic groups throughout China have traditionally used plants as fermentation starters (or koji) for brewing traditional rice wine. The objective of this study was to evaluate traditional knowledge, diversity, and values regarding plants used as starters for brewing glutinous rice wine in the Dong communities in the Guizhou Province of China, an area of rich biological and cultural diversity. Semi-structured interviews were administered for collecting ethnobotanical data on plants used as starters for brewing glutinous rice wine in Dong communities. Field work was carried out in three communities in Guizhou Province from September 2017 to July 2018. A total of 217 informants were interviewed from the villages. A total of 60 plant species were identified to be used as starters for brewing glutinous rice wine, belonging to 58 genera in 36 families. Asteraceae and Rosaceae are the most represented botanical families for use as a fermentation starter for rice wine with 6 species respectively, followed by Lamiaceae (4 species); Asparagaceae, Menispermaceae, and Polygonaceae (3 species respectively); and Lardizabalaceae, Leguminosae, Moraceae, Poaceae, and Rubiaceae (2 species, respectively). The other botanical families were represented by one species each. The species used for fermentation starters consist of herbs (60.0%), shrubs (23.3%), climbers (10.0%), and trees (6.7%). The parts used include the root (21.7%), leaf (20.0%), and the whole plant (16.7%). Findings indicate a significant relationship between knowledge of plants used as fermentation starters with age (P value < 0.001) and educational status (P value = 0.004) but not with gender (P value = 0.179) and occupation (P value = 0.059). The species that are most used by informants include Pueraria lobata var. montana (Lour.) van der Maesen (UV = 1.74; Leguminosae), Actinidia eriantha Benth. (UV = 1.51; Actinidiaceae), Oryza sativa L. var. glutinosa Matsum (UV = 1.5; Poaceae). This study highlights that while most of the Dong informants continue to use a diverse range of plants as a fermentation starter for brewing glutinous rice wine, knowledge of these plants is being lost by the younger generations. Documentation of traditional ethnobotanical knowledge and outreach is thus needed to conserve biocultural diversity in the rural Dong communities in southern China.

Background: The local Dong people in Qiandongnan Prefecture, Guizhou Province, China, with rich biocultural diversity, have developed the traditional rice-duckweed-fish-duck agroecosystem (RDFDA) to support biodiversity conservation and to meet food and cultural needs. However, there is still not much research on traditional ecological knowledge (TEK) in this area. In particular, there is a lack of traditional knowledge of edible plants used by the Dong people as flavoring to grill fish (Cyprinus carpio) collected from RDFDA, which is extremely valuable in their traditional culture. The study focused on documenting plant species used in grilling fish and analyzing the status of its TEK. Methods: Twenty-one sampling points of three Dong minority villages in Qiandongnan were selected for the research. The local TEK associated with plant resources for fish-grilling was recorded through free listing and semi-structured interviews. Fidelity level (FL) and ethnoecological importance value (EIV) indicators were designed to determine the socioeconomic influence of TEK. The non-metric multidimensional scaling (NMDS) method was used to evaluate the differentiation of edible plant species distribution in dissimilar accessibility types. Results: A total of 430 people were interviewed about grilled fish, of whom 75% were men and 85% were farmers. Thirty-four edible plants were documented for fish-grilling in three Dong villages. They belong to 16 plant families, such as Apiaceae, and Asteraceae. The life forms included herbaceous (76%), shrubs (18%) and trees (6%). Leaves are the most commonly used part of for grilling fish, followed by aerial parts, and whole plants. Among these edible plants, Allium hookeri, A. macrostemon and Houttuynia cordata with the highest fidelity level (100%) were cited as edible plants for grilling fish by all informants. The NMDS showed different accessibility types of collection sites, with different importance values. Paddy rice field edge (2.03) has the highest value, followed by forest-farming ecotone (1.74), streamsides (1.71) and woodland (0.48). Conclusion: The purpose of this study was to investigate the traditional knowledge of edible plant materials used by the Dong people for grilling fish. The results demonstrate the strong connection between local people, the bio-environment and agroecosystem services. The survey and comparative analysis revealed that plant species with high FL values may be potential sources of natural flavors.

Background: Homegardens are small-scale land use systems with significant implications for local livelihoods, biodiversity conservation, and sustainable development due to their diverse flora and fauna. Conducting homegarden surveys enables researchers to gain insights into the traditional ecological knowledge of indigenous communities, preserve homegarden biodiversity, and promote sustainable livelihoods. This study has two objectives: first, to collect, record, and organize data on homegarden plants and related traditional knowledge from three communities in the Laershan Plateau, and second, to analyze the species and functional diversity of homegarden plants in the region while exploring the factors that contribute to the heterogeneous distribution of these plants among the communities of three townships. Methods: This research employed field surveys in the Laershan Miao Autonomous Region in Xiangxi, China, from September 2021 to August 2023. Data were collected through observation and semi-structured interviews. The study utilized descriptive statistics and quantitative analysis, including the Relative Importance Value (RI), Use Value Index (UV), Jaccard Index (JI), and Comprehensive Index of Land Use Degree (La), to examine the diversity of local homegarden plants and related traditional knowledge, as well as community heterogeneity. Results: The study area exhibited rich biodiversity, with 152 plant species recorded belonging to 62 families and 124 genera. These findings highlight the importance of homegarden plants in maintaining ecological balance and enhancing system resilience against disturbances. Homegarden plants serve multiple functions such as food, ornamental, medicinal, and fodder purposes, with edible and trade plants having the most abundant knowledge. Furthermore, this research revealed that communities with similar forest resource compositions may have similar homegarden plant compositions, demonstrating the connection between cultural exchange among different communities and patterns of plant species distribution. Conclusions: The Laershan region boasts diverse homegarden plant species crucial for ecological balance and resilience. Their multifunctionality reflects human impact. Plant diversity varies with residents' lifestyles, needs, and cultural exchanges. The close connection between plants and local life is clear. Factors like resource distribution, cultural exchange, and lifestyle influence plant distribution. Further research is needed for conservation and sustainable development. Future research should focus on culturally valuable plant species and traditional knowledge applications.

Lakes are critical freshwater resources threatened by microplastic (MP) pollution globally. Current ecological risk assessment for microplastics relies on linear index systems that require arbitrary background values and assume additive effects among plastic properties, potentially missing the nonlinear interactions that influence real-world hazard. Using a global lake dataset (283 lakes across 23 countries), we developed DeepMPRA, a deep learning framework that learns risk thresholds directly from data without predefined background values. DeepMPRA integrates generative data augmentation, an autoencoder for nonlinear feature extraction, and unsupervised clustering to define risk as deviation from a learned low-risk reference. Conventional methods and DeepMPRA produced discordant classifications for 57% of samples: classical approaches overestimated risk for very low abundance samples (classifying them as moderate risk) and underestimated risk for samples with high-risk combinations of abundance, small particle size, and hazardous polymers (classifying them as low risk). DeepMPRA identifies abundance, particle size, and polymer type as the primary risk determinants. Globally, pronounced spatial heterogeneity emerged: Spain, Indonesia, and Turkey showed the highest MP abundances, while Russia and Mongolia maintained the lowest levels. Moreover, the framework uncovers karst lakes as unexpected high-risk hotspots (very high to extremely high risk), a vulnerability linked to groundwater-dominated recharge, polyethylene terephthalate dominance, and elevated proportions of fibers and sub-millimeter particles. Explainable machine learning highlights cropland, seawater, and wetland as the most sensitive land-use drivers, with univariate sensitivity analysis validating their influence. DeepMPRA offers a threshold-free, nonlinear paradigm for microplastic risk assessment applicable across aquatic ecosystems.