Biodiversity Conservation Research Articles

Assessing the conservation status of Mediterranean coastal ponds: Checklist, ecological and functional diversity of diatom communities

Coastal ponds are peculiar and threatened habitats, considered biodiversity hotspots. In many ecosystems ponds can be a valuable resource for the conservation of freshwater biodiversity. The Castelporziano Presidential Estate is a Mediterranean protected area hosting numerous ponds which are suffering severe droughts and a general decline in number and hydroperiod length. Hydroperiod changes can be particularly relevant for biodiversity inhabiting ponds, in particular diatom communities. Here, for the first time, we evaluate the conservation status of Mediterranean ponds inside the Castelporziano Reserve. The aims of this research are to i) investigate the influence of environmental variables on diatom communities of ponds; (ii) analyse diatom community structure in function of species richness and competitive interactions; (iii) highlight the potential and effectiveness of diatom ecological guilds in supporting the interpretation of the ecological status of threatened small waterbodies. Overall, 122 diatom taxa in the 29 ponds were described. Nitzschia (18 species) was the most species-rich genus, followed by Gomphonema (14) and Navicula (13). 17 species were included in the Red List of endangered species. Intra-pond distance and anthropogenic impacts didn't influence diatom assemblages. On the contrary, diatom communities were influenced by altitude and the distance from the sea. Furthermore, temporary ponds showed the lowest values for Shannon, evenness and Simpson indexes Considering Beta-diversity, both Bray-Curtis and Jaccard dissimilarity matrices highlighted a large dissimilarity between sampling sites. Inter-variability between sites and intra-variability within the sites resulted both very low. Our results highlight that diatom species are not influenced by hydroperiod length. Moreover, a structured diatom community emerged, where segregation processes predominating over aggregation ones. Finally, the average water quality of the ponds, calculated using the EPI-D index, was described as “good”. This study represents the most complete checklist of diatom communities inside coastal ponds of Castelporziano, providing valuable insights into the effects of natural and anthropogenic influences on ponds conservation and management activities. However, spatial-temporal changes and anthropogenic impacts should be deeply investigated.

The Role of Traditional Ecological Knowledge in Environmental Stewardship: Beyond Poverty and Necessity

The persistence of Traditional Ecological Knowledge (TEK) among indigenous and local communities is often associated with socio-economic constraints, poverty, and lack of choices. Such a perspective argues against underpinning profound environmental consciousness and sustainable practices that underlie TEK. The paper challenges reductionism—viewing TEK solely as a creation of necessity—and tries to argue that it entails a sophisticated understanding of ecological balance and conservation ethics. Through various examples, the paper exemplifies how TEK contributes to environmental sustainability for biodiversity conservation, management and use of natural resources, and the enhancement of resilience to climatic change—the same elements crucial for culture, tradition, and community living.

Multi-species ecological network based on asymmetric movement: Application in an urban rural fringe

Ecological network (EN) is a popular approach for biodiversity conservation, which aims to facilitate animal movement between habitats. However, asymmetric movement caused by the subjectivity of animals and environment heterogeneity is seldom considered in EN design. To design EN based on asymmetric movement, an individual-based model, PDArunner, is developed, which can identify corridors based on explicit movement paths. Since the urban–rural fringe is susceptible to landscape change, a multi-species EN based on asymmetric movement is designed for Jinnan district, Tianjin, China by simulating movement of Mustela sibirica, Spilopelia chinensis and Gallinula chloropus using PDArunner. Asymmetric movement is partitioned based on the size of departure and arrival habitats. Asymmetric corridors are thus identified based on movement in particular direction. In Jinnan, successful transfer rate of focal species from small to large habitat increases with difference in habitat size. The spatial extent of asymmetric corridors is more concentrated for G. chloropus. There are more corridors from large to small habitats than in the opposite direction, especially for S. chinensis and G. chloropus. There are more one-way corridors for S. chinensis and G. chloropus than M. sibirica. Perceptible high vegetation coverage places with large enough contrast to environment are suggested to be consecutive within 50 m for M. sibirica in Jinnan, which also benefits S. chinensi. G. chloropus can benefit from well-conserved water quality and quantity. A cross-administration collaboration is also highlighted for large scale conservation.

Repeatable patterns in the distribution of freshwater biodiversity indicators across contrasting landscapes

ContextFreshwater biodiversity is declining at unparalleled rates, but fundamental questions remain over how it is distributed at the spatial scales most relevant for conservation management.ObjectivesHere, we test the hypothesis that freshwater biodiversity is distributed across standing waterbody types in a pattern that is reproducible across disparate biota and contrasting landscapes, such that conservation efforts can be aligned across landscapes and taxa.MethodsWe analysed the richness, composition and distribution of macrophytes, molluscs, beetles and odonates from 199 standing waterbodies (lakes, ponds, ditches and canals) nested within UK landscapes with contrasting dominant land use (agricultural, upland and suburban).ResultsWe found a common pattern in the distribution of our biodiversity indicators across waterbody types in all landscapes that was largely repeated across biota; lakes consistently had the highest or equal alpha diversity and supported a greater proportion of the sampled species pool in each landscape (mean = 86%) in comparison to ponds (74%). Landscape-specific waterbody types (ditches and canals) also contributed significantly to the regional species pool (69 and 33% respectively). Each waterbody type contributed uniquely to landscape biodiversity and usually species of conservation concern, rather than simply supporting a subset of ubiquitous species found in lakes.ConclusionsLandscape-wide management strategies that encompass multiple habitats and biota should prove advantageous and generalisable. However, our study landscapes suggest that long-term biodiversity conservation should also recognise lakes as a priority for nature recovery, both to minimise further losses and to maintain the largest reservoir of biodiversity.

Classification and structural analysis of value chain contracts for biodiversity conservation in the European Union

Enhancing biodiversity is crucial for ensuring food security and fostering sustainable agricultural practices. To this end, agri-environmental and climate schemes (AECS) and innovative contracts are implemented to promote biodiversity conservation and Ecosystem Services. Studying the implemented contracts and their characteristics can lead to improving their performance and efficiency. This paper examines the value chain contracts covered in three European projects and classifies them based on their contractual, financial, environmental and biodiversity characteristics. The design of the contracts was analyzed and seven categories were identified regarding the structure of the value chains and the interplay among stakeholders within these contracts. Our findings underscore the significant role of the private sector in preserving biodiversity and financing environmental practices, complemented by the public sector's contribution in motivating farmers and raising consumer awareness.

Does nature’s contributions to people value realization policy in China improve public awareness and preferences for marine biodiversity conservation? A temporal stability analysis

Management policies are crucial for safeguarding sustained and stable marine biodiversity amidst ongoing pressures such as land use change, pollution, resource overexploitation, invasive alien species and climate change. China established a nature’s contributions to people value realization policy (NCPVR) in 2021, aiming to encourage stakeholders to prioritize environmentally beneficial production and consumption choices, thereby stimulating intrinsic public motivation for ecological conservation. Biodiversity conservation is an integral component of the NCPVR policy. A choice experiment method was employed to investigate the changes in public preferences for marine biodiversity conservation in Jiaozhou Bay before and after the enactment of the NCPVR policy (in 2017 and 2023, respectively), aiming to evaluate the effectiveness of the policy on marine biodiversity conservation. The results indicate that two years after the implementation of the NCPVR, the public’s overall breadth and depth of awareness regarding marine biodiversity increased. Additionally, public preferences for marine biodiversity conservation increased, expanding from two categories in 2017 (shallow-water swimming organisms and marine plants) to five categories in 2023 (with the addition of seabirds, plankton, and intertidal and benthic organisms). The willingness to pay (WTP) for seabirds, plankton, and intertidal and benthic organisms, as well as shallow-water swimming organisms, increased from 32.21~85.77 CNY/person·year to 98.21~140.49 CNY/person·year. China’s NCPVR policy effectively conveyed important information about biodiversity conservation in the short term, enhancing public awareness and preferences for marine biodiversity conservation. The study also revealed that economic incentive policies for NCPVR remain at the conceptual propaganda level and lack operational incentives for biodiversity conservation. It is recommended that the government deepen the design of value realization pathways and market trading arrangements to stimulate the intrinsic motivation of the public for marine biodiversity conservation and ensure the long-term effectiveness of policies.

Organic farming and semi‐natural habitats for multifunctional agriculture: A case study in hedgerow landscapes of Brittany

Abstract Finding more sustainable ways to produce food is a major challenge for humanity in the face of biodiversity extinction and climate change. Consequently, research on the ability of agroecosystems to provide multiple functions is growing. In this regard, the relative importance of organic farming and landscape‐scale measures for improving multifunctionality has recently been debated. We investigated the effects of farming system (conventional vs. organic) at field scale, total length of hedgerows in the landscape and their interaction on the multifunctionality of 40 winter cereal fields in Brittany (France). Our multifunctionality assessment integrated 21 indicators of five agroecosystem goods: biodiversity conservation, nutrient cycling and soil structure, pest and disease regulation, food production and socio‐economic performance. Many indicators of biodiversity conservation, pest and disease regulation, and socio‐economic performance were higher in organic than in conventional systems. However, indicators of nutrient cycling and soil structure did not improve and food production was much lower in organic systems. Total hedgerow length in the landscape had less influence than organic farming on indicators, although we observed positive interactions. Granivorous carabid abundance and semi‐net margin were highest in organic fields located in well‐preserved hedgerow landscapes. Synthesis and applications. Our study suggests that field‐scale organic farming is necessary to promote biodiversity conservation and associated ecological functioning in crop fields, whereas landscape‐scale preservation of semi‐natural habitats alone is likely insufficient. Preservation of hedgerows in the landscape brings additional ecological and socio‐economic benefits for organic systems without compromising agricultural production. More broadly, our results call for more ambitious research into the myriad possible combinations of farming practices and agri‐environmental measures at both field and landscape scales, to improve both below‐ground and above‐ground functioning.

Hunting for Sustainability: Indigenous Stewardship in the Cofán Territory of Zábalo

ABSTRACTIndigenous lands are increasingly recognized for their critical role in biodiversity conservation. However, concerns persist about the sustainability of hunting practices within these territories. This study investigates the long‐term impact of Indigenous hunting practices on wildlife populations in the Cofán territory of Zábalo, Ecuador. We employed line transect surveys to estimate wildlife densities over three periods (2001–2003, 2006–2009, and 2018), focusing on 16 species that are integral to local livelihoods and subject to community management. Our results indicate generally stable or increasing populations for most species, particularly in nonhunted areas, where spatial restrictions are enforced. The Cofán's ability to sustainably manage relations between humans and wildlife is largely attributable to their adaptive management system, which includes species‐specific regulations and spatial zoning, and is realized through community decision‐making, knowledge sharing, and an ethos of care. These findings demonstrate that Indigenous stewardship can effectively sustain biodiversity in complex biocultural systems. The study underscores the importance of integrating Indigenous knowledge with scientific approaches to achieve long‐term conservation goals.

Comparison of Orchid Conservation Between China and Other Countries

Global attention is highly focused on biodiversity conservation. Various countries are actively implementing relevant conservation measures. To advance these efforts in China, it is essential to understand global conservation actions. The orchid family, one of the most diverse groups of flowering plants, has become a “flagship” group for plant conservation. In this study, we summarized 3418 policies and regulations related to orchid conservation in 45 countries. We found that orchid conservation actions in various countries have focused on in situ conservation, with 1469 policies and regulations issued for nature reserves, while ex situ conservation has been seriously neglected, with only seven relevant regulations. Most developing countries have experienced an increase in orchid conservation actions, while developed countries have plateaued. We amassed 370 non-governmental organizations (NGOs) for orchid conservation. At present, the total number of policies and regulations for orchid protection in China is approximately 84, with 67 issued since 2000. Two non-governmental organizations have been established for orchid conservation. Although the benefit of orchid conservation in China is significant, it still requires continuous improvement compared to many other countries. We recommend that the Chinese government draws on the experiences of the United States, Canada, and Australia in areas such as policy and regulation formulation, optimization of non-governmental organizations, and implementation of related conservation projects. Through learning and collaboration, challenges can be transformed into opportunities for development.

Randomising spatial patterns supports the integration of intraspecific variation in ecological niche models

Ecological niche models (ENMs) are an essential modelling technique in biodiversity prediction and conservation and are frequently used to forecast species responses to global changes. Classic species‐level models may show limitations as they assume species homogeneity, neglecting intraspecific variation. Composite ENMs allow the integration of intraspecific variation by combining intraspecific‐level ENMs, capturing individual environmental responses over the species' geographic range. While recent studies suggest that accounting for intraspecific variation improves model predictions, we currently lack methods to test the significance of the improvement. Here, we propose a null model approach that randomises observed intraspecific structures as an appropriate baseline for comparison. We illustrate this approach by comparing predictive performance of a species‐level ENM to composite ENMs for European beech Fagus sylvatica. To investigate the influence of spatial lineage structure, we tested all models against the same withheld data to allow comparison across models based on five common performance metrics. We found that the species‐level ENM expressed higher overall performance (i.e. AUC, TSS, and Boyce index) and specificity (ability to predict absences), while the composite ENMs achieved higher sensitivity (ability to predict presences). In line with this, the composite ENMs also showed increased sensitivity and decreased specificity compared to the null models that randomised lineage structure. We showed that the assessment of model performance strongly varies based on the used measures, emphasising a careful investigation of multiple measures for evaluation. The application of null models allowed us to disentangle the effect of observed patterns of intraspecific variation in ENMs. Further, we highlight the validation and use of well‐founded subgroups for modelling. Although intraspecific variation improves the prediction of occurrences of European beech, it did not fully outcompete the classic species‐level model and should be used with care and rather to improve understanding and to supplement, not replace, species‐level models.

Agroforestry for Carbon Neutrality: An Effective Pathway to Net Zero

Agroforestry is a promising strategy to achieve carbon neutrality and net zero emission, aiming towards the balance between greenhouse gas emissions and equal amount of carbon removal through sequestration Among several methods of carbon sequestration, agroforestry stands out for its unique ability to simultaneously sequester carbon while reducing greenhouse gas emissions, particularly nitrous oxide (N2O) emissions associated with chemical fertilizer use in conventional agriculture. These systems store carbon through multiple pathways like, in above-ground biomass, below-ground root systems, and enhanced soil organic carbon accumulation while maintaining the agricultural productivity. Acknowledged under the afforestation and reforestation programs of the Kyoto Protocol, agroforestry has attracted interest for its several advantages from both industrialized and developing countries for its multifaceted benefits, including its potential to combat desertification and reduce anthropogenic emissions. Beyond carbon sequestration, it enhances soil fertility, supports biodiversity conservation, and provides economic diversification for farmers through multiple income streams. The role of REDD+ (Reducing Emissions from Deforestation and Forest Degradation) negotiations in extending the Kyoto Protocol's second commitment period has further strengthened agroforestry's position in global climate action, particularly through the development of REDD offset credits in compliance carbon markets. The World Agroforestry Centre defines agroforestry as a dynamic, ecologically based natural resources management system that integrates trees on farms and in the agricultural landscape, diversifying and sustaining production for increased social, economic, and environmental benefits. The Association for Temperate Agroforestry (AFTA) defines it as an intensive land management system that optimizes the benefits from biological interactions created when trees and/or shrubs are deliberately combined with crops and/or other natural resources. This review article critically examines agroforestry's crucial role as an effective pathway toward achieving carbon neutrality and net zero goals, synthesizing current knowledge and future prospects.

Effects of snake fungal disease (ophidiomycosis) on the skin microbiome across two major experimental scales.

Emerging infectious diseases are increasingly recognized as a significant threat to global biodiversity conservation. Elucidating the relationship between pathogens and the host microbiome could lead to novel approaches for mitigating disease impacts. Pathogens can alter the host microbiome by inducing dysbiosis, an ecological state characterized by a reduction in bacterial alpha diversity, an increase in pathobionts, or a shift in beta diversity. We used the snake fungal disease (SFD;ophidiomycosis), system to examine how an emerging pathogen may induce dysbiosis across two experimental scales. We used quantitative polymerase chain reaction, bacterial amplicon sequencing, and a deep learning neural network to characterize the skin microbiome of free-ranging snakes across a broad phylogenetic and spatial extent. Habitat suitability models were used to find variables associated with fungal presence on the landscape. We also conducted a laboratory study of northern watersnakes to examine temporal changes in the skin microbiome following inoculation with Ophidiomyces ophidiicola. Patterns characteristic of dysbiosis were found at both scales, as were nonlinear changes in alpha and alterations in beta diversity, although structural-level and dispersion changes differed between field and laboratory contexts. The neural network was far more accurate (99.8% positive predictive value [PPV]) in predicting disease state than other analytic techniques (36.4% PPV). The genus Pseudomonas was characteristic of disease-negative microbiomes, whereas, positive snakes were characterized by the pathobionts Chryseobacterium, Paracoccus, and Sphingobacterium. Geographic regions suitable for O. ophidiicola had high pathogen loads (>0.66 maximum sensitivity+specificity). We found that pathogen-induced dysbiosis of the microbiome followed predictable trends, that disease state could be classified with neural network analyses, and that habitat suitability models predicted habitat for the SFD pathogen.

Effect of Synthetic Fertilizer on Diazotrophic Bacteria in Secondary Forest and Oil Palm Soils in Central Kalimantan

Soil microorganisms, especially diazotrophic bacteria, are vital for ecosystem sustainability, significantly contributing to nitrogen cycling and biodiversity conservation. Understanding the impact of different land-use practices on soil microorganisms, especially synthetic fertilizer addition, is essential for sustainable agriculture. This study compares soil properties, bacterial densities, and responses to fertilization in secondary forest soils and adjacent oil palm plantation soils located in PT Kerry Sawit Indonesia, Central Kalimantan. A greenhouse experiment was conducted using both secondary forest and oil palm plantation soils to evaluate the impacts of different synthetic fertilizers on nitrogen-fixing bacteria and soybean agronomic performance. Total soil bacteria and diazotrophic bacteria, essential for nitrogen fixation, were analyzed through microbiological assays and qPCR focusing on the nifH gene. Our findings show that oil palm plantation soils had higher levels of nitrogen, phosphate, and nitrate, while secondary forest soils had a higher abundance of diazotrophic bacteria. Furthermore, excessive nitrogen fertilization was found to reduce microbial density, negatively impacting plant sustainability, highlighting the importance of customized fertilizer management. The study highlights the intricate connections between land-use practices and microbial populations, providing valuable insights for balancing agricultural productivity with ecological sustainability.

Validating The Philippine Mangrove Map 2023 through Capacity Building and Crowdsourcing

Abstract. Mangroves are crucial coastal ecosystems. They provide numerous ecological and socio-economic benefits – shoreline protection, carbon sequestration, food security, and biodiversity conservation. The Philippine Mangrove Map 2023, generated through Machine Learning, improves understanding, accounting, and conserving these vital habitats. However, ensuring the accuracy and reliability of maps is imperative for informed decision-making and effective conservation efforts. Various validation methods were reviewed to develop a nationwide approach integrating practicality and statistical rigor, incorporating multiple data sources such as satellite and airborne imagery and GPS points from the government, civil society, and citizens. Capacity building enabled large-scale citizen science collaboration to gather quality datasets and foster reciprocal learning between scientists and local citizens. This collaborative effort aims to improve the quality of datasets and ultimately enhance the accuracy of the Philippine Mangrove Map 2023 and succeeding mangrove extents maps.

Environmental Efficiency of Municipalities in the Araguaia River Valley in the State of Mato Grosso, Brazil: an Approach Via Data Envelopment Analysis

Objective: The objective of this study is to evaluate the environmental efficiency of municipalities located in the Araguaia River Valley, in the State of Mato Grosso, Brazil, focusing on the relationship between economic development and sustainability, aiming to identify practices that promote the conservation of biodiversity and the reduction of environmental impacts. Theoretical Framework: The text addresses concepts of sustainable development and sustainability, highlighting important distinctions between them. It highlights the relevance of urban planning, in association with the Sustainable Development Goals, as a tool for including environmental factors in promoting environmental quality and the well-being of communities. In this sense, the rational use of natural resources appears to be a preponderant and essential factor in ensuring sustainability and promoting balanced development. Method: This is a qualitative and quantitative approach. The data were obtained through the Brazilian Institute of Geography and Statistics website for the Gross Domestic Product variable and on the Terrabrasilis website for the deforestation variable, involving 25 municipalities in Mato Grosso, in the Araguaia river basin. Based on the data, the R software was used to process the information, using a mathematical model based on Data Envelopment Analysis. Results and Discussion: The results showed a low level of environmental efficiency in the VRS model, with average values of 0.25762 (2017), 0.21655 (2018), 0.36978 (2019), 0.214396 (2020) and 0.28803 (2021). A minority of municipalities were highlighted in environmental efficiency, indicating that they are located on the DEA production frontier, pointing to a balance between environmental protection and economic growth. The success of the municipalities that stood out demonstrates the importance of planning, social mobilization and commitment, it is possible to reverse or minimize the scenario of environmental degradation. Research Implications: The study points to the need for public policies aimed at improving the environmental efficiencies of municipalities that showed lower performance, especially minimizing deforestation. Originality/Value: The originality of the study focuses on the importance of studies aimed at measuring environmental efficiency in the municipalities that make up the cerrado, highlighting the importance of preserving and conserving this biome.

Long-term monitoring of citizen science: driving factors and pandemic impacts

ABSTRACT In recent years, the importance of citizen science in biodiversity monitoring has become increasingly evident. Citizen science provides valuable data to understand the dynamic changes in biodiversity across different cities. Although long-term monitoring is crucial for understanding these dynamic changes, previous research has primarily focused on short-term data analysis. Therefore, this study analysed data from the iNaturalist platform for 11 Japanese cities from 2016 to 2023, focusing on the driving factors of observation changes and the impact of the COVID-19 pandemic using the Logarithmic Mean Divisia Index (LMDI) method. The results revealed that the population (total number of active users) metric had the greatest impact, followed by intensity (the number of observations per active day), frequency (active days per active user), and structure (proportion of regular users). To ensure data continuity and reliability, optimizing user structure by increasing the proportion of regular users is essential. Although observation volumes fluctuated during the pandemic, they rebounded significantly post-pandemic, demonstrating the resilience, and adaptability of citizen science projects. The iNaturalist platform provides a stable foundation for long-term data collection, aiding in the comprehensive understanding of biodiversity dynamics. Our study also highlighted differences in citizen science participation and biodiversity monitoring across cities, indicating the need for tailored biodiversity conservation policies. To effectively address similar crises in the future, developing contingency plans is recommended to provide continuous support for biodiversity conservation and public engagement in environmental management.

A Geological Imprint on Plant Biodiversity: Eastern Australia's Cenozoic Volcanic Flora

ABSTRACTAimAustralia's distinct geological history provides key insights into the diversity of its flora. While previous studies have predominantly focused on climate as the main driver of species richness, growing evidence suggests that geological factors also play an important role. This study aims to investigate the influence of Cenozoic volcanic lithologies on terrestrial vascular plant diversity in eastern Australia, disentangling the relative contributions of climate and geology to biodiversity patterns.LocationEastern Australia.TaxonTerrestrial vascular plants.MethodsWe assessed the patterns of species richness in this region by examining whether sites with Cenozoic volcanic lithologies harbour greater vascular plant diversity, using a permutational multivariate analysis of variance (PERMANOVA). We then used a supervised machine learning algorithm (decision trees) coupled with partial canonical correspondence analysis (CCA) to discriminate the environmental variables influencing species richness and site composition in 230 sites in Queensland, New South Wales, Victoria and Tasmania.ResultsSoil profile variability and terrain ruggedness, influenced by underlying volcanic lithologies, emerged as primary predictors of species richness. We found species composition, indicative of distinct ecological communities, showed greater similarity within lithological types and varied significantly across volcanic complexes at different latitudes. Notably, areas of higher species richness corresponded with a greater diversity of stratigraphic units within protected zones.Main ConclusionsOur study reveals a significant imprint of Cenozoic volcanic activity on present‐day plant species richness and distribution in eastern Australia. We show that geological features, particularly lithology and site complexity, play a crucial role in shaping species richness beyond previously recognised climatic factors. These findings highlight the importance of integrating geological and edaphic factors into conservation strategies, thereby broadening our understanding of ecological dynamics, and guiding more effective biodiversity conservation.

Human Activity Changed the Genetic Pattern of the Orchid Phaius flavus Population

Human activity often has profound effects on plant growth and evolution. Orchids are the most diverse group of flowering plants and are threatened by habitat fragmentation, over-harvesting, and urbanization. A population of Phaius flavus from Beikengding Mount (BM) in the Fujian Province of China was divided into two patches by road construction. This study evaluated its genetic characteristics using restriction site-associated DNA sequencing (RAD-seq) data, more than seven years post-road construction. The purpose of this study was to explore the impact of road construction on the evolution of isolated patches within a population. The analysis revealed that the genetic diversity of patch B was slightly higher than that of patch A in the BM population of P. flavus. Principal component and phylogenetic analyses, genetic structure and genetic differentiation analysis, and bottleneck detection indicated relatively independent genetic differentiation between the two patches. Thus, the construction of the Y013 village road may have influenced different patches of this population on a genetic level. This study provides a case for understanding the impact of specific human activities on plant populations, and then biodiversity conservation. It is conducive to formulating more effective biological protection strategies to mitigate the damage inflicted by human activities on biodiversity.

Impact on Ant Communities by Chemical Pesticides Applied in Controlling the Red Imported Fire Ant (Solenopsis invicta Buren) in the Field.

The red imported fire ant (RIFA, Solenopsis invicta Buren) represents a significant invasive pest in China, exerting extensive negative impacts on ecosystems. The invasion of RIFA not only poses a severe threat to biodiversity within the environment; inappropriate controlling measures can also adversely affect community dynamics. Therefore, while implementing effective management strategies to control the proliferation of RIFA populations, it is imperative to evaluate the potential effects of these measures on the structure of local biological communities to safeguard native biodiversity. This study employs a "two-step method" using dust and bait formulations, respectively, to control RIFA while conducting ecological monitoring to further assess the impact of RIFA population decline on ant communities. The results of RIFA management showed that after post-treatment periods of 28 days, 35 days, and 60 days, the worker ant reduction rates for the three insecticides-0.5% beta-cypermethrin dust, 1.0% hydramethylnon bait, and 0.1% indoxacarb bait-reached approximately 72%, with their efficacy ranked as follows: 1.0% hydramethylnon bait > 0.1% indoxacarb bait > 0.5% beta-cypermethrin dust. By the 60th day of the experiment, the ant nest reduction rates reached their highest values-66.84% for 0.5% beta-cypermethrin dust, 77.89% for 1.0% hydramethylnon bait, and 87.52% for 0.1% indoxacarb bait-with the latter performing the best. Meanwhile, the occurrence level of RIFAs in all three pesticide treatment areas decreased from level III to level I 60 days post-treatment. Following the application of these three insecticides, the RIFA population significantly decreased, leading to an increase in species richness within the ant community. The reduction in RIFA numbers had a positive impact on the restoration of ant community diversity, as evidenced by significant improvements in both diversity and evenness indices. Notably, 0.1% indoxacarb bait was particularly effective in enhancing the ant community diversity and species richness, while 1.0% hydramethylnon bait was more effective in improving community evenness. These findings indicate that the controlling strategy used in this study not only effectively manages RIFA populations but also promotes recovery and contributes to the ecological balance of local ant communities, providing an important reference for future biodiversity conservation efforts.

Biological Insights and Recent Advances in Plant Long Non-Coding RNA.

Long non-coding RNA (lncRNA) refers to an RNA molecule longer than 200 nucleotides (nt) that plays a significant role in regulating essential molecular and biological processes. It is commonly found in animals, plants, and viruses, and is characterized by features such as epigenetic markers, developmental stage-specific expression, and tissue-specific expression. Research has shown that lncRNA participates in anatomical processes like plant progression, while also playing a crucial role in plant disease resistance and adaptation mechanisms. In this review, we provide a concise overview of the formation mechanism, structural characteristics, and databases related to lncRNA in recent years. We primarily discuss the biological roles of lncRNA in plant progression as well as its involvement in response to biotic and abiotic stresses. Additionally, we examine the current challenges associated with lncRNA and explore its potential application in crop production and breeding. Studying plant lncRNAs is highly significant for multiple reasons: It reveals the regulatory mechanisms of plant growth and development, promotes agricultural production and food security, and drives research in plant genomics and epigenetics. Additionally, it facilitates ecological protection and biodiversity conservation.