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Environmental pollution is a pressing global challenge. Plant biomonitoring of soil, water, and air pollution is cost-effective, sustainable, and easy to use (Ye et al., 2017). Hyperaccumulator plants can be used in eco-friendly bioremediation technologies to recover functional environmental elements. Despite the many studies on metal uptake by plants and the effects of pollutants on plants, the number of ready-to-use technologies for bioremediation and biomining is limited (Gavrilescu, 2022). The mechanisms involved in the pollutant uptake and translocation and their enhancement by different methods are poorly understood; therefore, further investigations are necessary for efficient pollution monitoring, and eco-friendly, low-cost, sustainable, and highly accurate methods are required. One possible approach that could meet all these criteria is the use of plants for pollution biomonitoring, as they act as pollution integrators over long periods of time (Oladoye et al., 2022). Polluted sites need to be cleaned and restored; if possible, the valuable elements should be recovered (Kumar et al., 2021). Different plant species have been found to be suitable for all these processes, but no ready-to-use methods or standardized approaches are available (Jaskulak et al., 2020). This Research Topic aims to bring together different types of research that could shed light on recent developments in biomonitoring, bioremediation and biomining in order to fill the knowledge gap needed to upscale the results of promising laboratory or field studies, and to identify the challenges and opportunities involved. This research theme aims to explore the use of different plant species for biomonitoring of environmental pollution, recovery of valuable elements from the environment and bioremediation of the environment.Reduced biodiversity, severe soil erosion, and low agricultural productivity limit rapid economic development in the karst mountain areas (Otero et al., 2024). Loquat (Eriobotrya japonica L.) has become an economic tree species used to combat rocky desertification due to its drought tolerance, broad adaptability, and high nutritional and economic value. Hu et al. Changes in tree species composition are an important aspect of forest succession (Seidl and Turner, 2022). In recent decades, there have been significant changes in the tree species composition of subtropical forests in China, with a decrease in conifers and an increase in deciduous trees. Due to various reasons, pine and fir tree species in Zhejiang Province have been steadily decreasing, and this trend is expected to continue in the long term. Due to various reasons, pine and fir tree species in Zhejiang Province have been steadily decreasing, and this trend is expected to continue in the long term. Ji et al. (https://doi.org/10.3389/fpls.2023.1280126) proposed that the nonlinear differential equation system model is suitable for simulating and predicting the forest tree species composition in the macroscopic region of subtropical China. It enables short-, medium-, and even long-term predictions and allows in-depth exploration of the currently unclear trends and their stability in forest tree species composition through limited model analysis. The application of the model can provide a basis for the development of sustainable forest management policies. In another study, Li et al. (https://doi.org/10.3389/fpls.2024.1407867) used the maximum entropy mode to predict the suitable habitats for Aralia elata and Eleutherococcus senticosus and analyzed the dominant factors affecting their distribution. With future changes in climate and land use, the overall trend of suitable habitat for both commercial forest trees shows a northward and then a southward migration. These results may help to develop strategies for resource conservation and sustainable use of A. elata and E. senticosus, and we suggest that stable and suitable habitats should be selected as areas for in situ conservation and breeding of the two economic forest trees.Crop height is an important agricultural parameter closely related to yield, above-ground biomass, and lodging. Data from ultrasonic sensors is easy to process, and this type of sensor is characterized by its cost-effectiveness, ease of portable installation, and suitability for prolonged exposure in the field environment, especially when compared to Light Detection and Ranging and Unmanned Aerial System imagery (Bowler et al., 2022). Canopy height serves as an essential dynamic indicator of crop growth in the field management decision-making process. Compared to commonly used canopy height measurement techniques, ultrasonic sensors are inexpensive and can be exposed in the field for long periods of time to provide rapidly processed data. Zheng et al.(https://doi.org/10.3389/fpls.2024.1354359) showed that both observation angle and plant density significantly affected the results of ultrasonic measurements, while the effects of other factors on measurement accuracy were negligible. In addition, a two-input-factor calibration model was developed to estimate canopy height in different years using the normalized difference between vegetation index and ultrasonic measurements. The model was created using the least squares method, and the accuracy of the ultrasonic measurement was significantly improved when the measured value of canopy height and the normalized difference vegetation index were integrated.The research results effectively combine stable and low-cost commercial sensors with ground-based agricultural machine platforms, enabling efficient and non-destructive acquisition of crop height information.As an essential component of plant cell walls, lignin provides mechanical support for plant growth, enhances water transport, and helps defend against pathogens (Liu et al., 2018). As the most abundant natural aromatic-based renewable resource on earth, its biosynthesis has always been a focus of research and continues to be studied today. In the study by Yao et al.(https://doi.org/10.3389/fpls.2024.1423072), the p-coumaric alcohol analogue and the coniferyl alcohol analogue containing an alkyne group at the ortho position were synthesized and applied to lignification in vivo and in vitro. The incorporation of these novel lignin monomers was monitored by fluorescence imaging. It was found that the two monolignol analogs could be incorporated into dehydrogenated polymers in vitro and into flax cell walls in vivo. The results showed that the deposition of H-and G-type lignin differed in the deposition mode as cultivation time and precursor concentration varied. At the subcellular level, the deposited lignin first appears in the cell corner and middle lamella and then gradually appears on the cell walls. In addition, lignin was also found in the bast fiber. It was shown that these new molecules can provide high resolution localization of lignin during polymerization.Lichens are recognized as highly effective biological indicators of air pollution (Yang et al., 2023). (https://doi.org/10.3389/fpls.2024.1447263) proposed a method based on an improved YOLO (You Only Look Once) version 8 model (Ultralytics, 2024). This improved model demonstrates more efficient and accurate recognition of tomatoes at different stages, providing a valuable technical reference for intelligent tomato harvesting.In summary, this Research Topic aims to bring together different research efforts to highlight recent developments in biomonitoring, bioremediation and biomining, to address knowledge gaps, and to identify challenges and opportunities for up-scaling promising laboratory or field study results.