50 research outputs found

    Cost-effective priorities for the expansion of global terrestrial protected areas: Setting 2 post-2020 global and national targets

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    Biodiversity loss is a social and ecological emergency, and calls have been made for the global expansion of protected areas (PAs) to tackle this crisis. It is unclear, however, where best to locate new PAs to protect biodiversity cost-effectively. To answer this question, we conducted a spatial meta-analysis by overlaying seven global biodiversity templates to identify Conservation Priority Zones (CPZs). These are then combined with Low Human Impact Areas (LIAs) to identify Cost-Effective Zones for PA designation (CEZs). CEZs cover around 38% of global terrestrial area, of which only 24% is currently covered by existing PAs. To protect more CEZs, we propose three scenarios with conservative, moderate and ambitious targets, which aim to protect 19%, 26% and 43% of global terrestrial area, respectively. These three targets are set for each Convention on Biological Diversity (CBD) party with spatially-explicit CEZs identified, providing valuable decision support for the post-2020 global biodiversity framework

    Robust estimation of bacterial cell count from optical density

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    Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

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    Master of Business Administration (Hospitality and Tourism Management (International Program)), 2023The current study aimed to explore the opportunities of tourism cooperation between China and Thailand; the challenges of tourism cooperation between China and Thailand and how the tourism cooperation makes sustainable development in tourism industry. The qualitative method is adopted in this study and interview are conducted. Fifteen participants from the government, travel agency, other tourism companies (offices in Thailand/China) would be recruited. The research questions are answered the themes which are resources maximization (resources exchange, knowledge sharing, shared market), tourism economic recession (disruption of tourism, low inflow tourists, low spending power), and providing better service (high quality of management, meet the demand of tourists, high performance of tourist experience).The findings of this study show that there are opportunities for resource optimization, service improvement, and sustainable development in China-Thailand tourism cooperation. The study highlights the need to address the challenges of tourism recession, tourism disruptions, low tourist inflows and low spending power to ensure the sustainable development of the tourism industry. In addition, with high-quality management, meeting customer needs, and efficient tourist experience to provide better services, so as to achieve sustainable development of the tourism industry.āļ āļēāļ„āļāļēāļĢāđ€āļ”āļīāļ™āļ—āļēāļ‡āđāļĨāļ°āļāļēāļĢāļ—āđˆāļ­āļ‡āđ€āļ—āļĩāđˆāļĒāļ§āļĄāļĩāļ„āļ§āļēāļĄāļŠāđāļēāļ„āļąāļāđƒāļ™āļ›āļĢāļ°āđ€āļ—āļĻāļˆāļĩāļ™ āļ•āļąāđ‰āļ‡āđāļ•āđˆāđ€āļĢāļīāđˆāļĄāļāļēāļĢāļ›āļāļīāļĢāļđāļ› āđāļĨāļ°āđ€āļ›āļīāļ”āļ›āļĢāļ°āđ€āļ—āļĻāđ€āļĄāļ·āđˆāļ­āļŦāļĨāļēāļĒāļŠāļīāļšāļ›āļĩāļāđˆāļ­āļ™ āļ›āļĢāļīāļĄāļēāļ“āļāļēāļĢāļ—āđˆāļ­āļ‡āđ€āļ—āļĩāđˆāļĒāļ§āđ„āļ”āđ‰āđ€āļžāļīāđˆāļĄāļ‚āļķāđ‰āļ™āļ­āļĒāđˆāļēāļ‡āļĄāļēāļ āļ—āļąāđ‰āļ‡āļāļēāļĢāđ€āļžāļīāđˆāļĄāļ‚āļķāđ‰āļ™āļ‚āļ­āļ‡ āļŠāļ™āļŠāļąāđ‰āļ™āļāļĨāļēāļ‡āļ—āļĩāđˆāļĢāđˆāđāļēāļĢāļ§āļĒāļ‚āļķāđ‰āļ™āđƒāļŦāļĄāđˆāđāļĨāļ°āļāļēāļĢāļ—āļĩāđˆāļĢāļąāļāļšāļēāļĨāļˆāļĩāļ™āļ„āļĨāļēāļĒāļ‚āđ‰āļ­āļˆāđāļēāļāļąāļ”āļ”āđ‰āļēāļ™āđ€āļŠāļĢāļĩāļ āļēāļžāđƒāļ™āļāļēāļĢāđ€āļ„āļĨāļ·āđˆāļ­āļ™āđ„āļŦāļ§āļ‚āļ­āļ‡ āļ›āļĢāļ°āļŠāļēāļŠāļ™ āļ•āđˆāļēāļ‡āļāđ‡āļĄāļĩāļŠāđˆāļ§āļ™āļ—āđāļēāđƒāļŦāđ‰āļ­āļļāļ•āļŠāļēāļŦāļāļĢāļĢāļĄāļāļēāļĢāļ—āđˆāļ­āļ‡āđ€āļ—āļĩāđˆāļĒāļ§āļ‚āļ­āļ‡āļ›āļĢāļ°āđ€āļ—āļĻāđ€āļžāļīāđˆāļĄāļ‚āļķāđ‰āļ™ āļāļēāļĢāļĻāļķāļāļĐāļēāļĄāļĩ āļ§āļąāļ•āļ–āļļāļ›āļĢāļ°āļŠāļ‡āļ„āđŒāđ€āļžāļ·āđˆāļ­āļŠāđāļēāļĢāļ§āļˆāđ‚āļ­āļāļēāļŠāļ‚āļ­āļ‡āļ„āļ§āļēāļĄāļĢāđˆāļ§āļĄāļĄāļ·āļ­āļ”āđ‰āļēāļ™āļāļēāļĢāļ—āđˆāļ­āļ‡āđ€āļ—āļĩāđˆāļĒāļ§āļĢāļ°āļŦāļ§āđˆāļēāļ‡āļˆāļĩāļ™āđāļĨāļ°āđ„āļ—āļĒ āļŠāđāļēāļĢāļ§āļˆāļ„āļ§āļēāļĄāļ—āđ‰āļēāļ—āļēāļĒāļ‚āļ­āļ‡āļ„āļ§āļēāļĄāļĢāđˆāļ§āļĄāļĄāļ·āļ­āļ”āđ‰āļēāļ™āļāļēāļĢāļ—āđˆāļ­āļ‡āđ€āļ—āļĩāđˆāļĒāļ§āļĢāļ°āļŦāļ§āđˆāļēāļ‡āļˆāļĩāļ™āđāļĨāļ°āđ„āļ—āļĒ āđāļĨāļ°āļŠāđāļēāļĢāļ§āļˆāļœāļĨāļ›āļĢāļ°āđ‚āļĒāļŠāļ™āđŒāļŠāđāļēāļŦāļĢāļąāļšāļāļēāļĢ āļžāļąāļ’āļ™āļēāļ­āļĒāđˆāļēāļ‡āļĒāļąāđˆāļ‡āļĒāļ·āļ™āđƒāļ™āļ­āļļāļ•āļŠāļēāļŦāļāļĢāļĢāļĄāļāļēāļĢāļ—āđˆāļ­āļ‡āđ€āļ—āļĩāđˆāļĒāļ§ āļāļēāļĢāļĻāļķāļāļĐāļēāđƒāļŠāđ‰āļ§āļīāļ˜āļĩāļāļēāļĢāđ€āļŠāļīāļ‡āļ„āļļāļ“āļ āļēāļžāļ”āđ‰āļ§āļĒāļāļēāļĢāļŠāļąāļĄāļ āļēāļĐāļ“āđŒ āļœāļđāđ‰āļ›āļāļīāļšāļąāļ•āļīāļ‡āļēāļ™āļ”āđ‰āļēāļ™āļāļēāļĢāļ—āđˆāļ­āļ‡āđ€āļ—āļĩāđˆāļĒāļ§āđāļĨāļ°āđ€āļˆāđ‰āļēāļŦāļ™āđ‰āļēāļ—āļĩāđˆāļ‚āļ­āļ‡āļĢāļąāļāļ—āļĩāđˆāļŠāđāļēāļ„āļąāļ āļāļēāļĢāļĻāļķāļāļĐāļēāđƒāļ™āļ›āļąāļˆāļˆāļļāļšāļąāļ™āđ„āļ”āđ‰āļ•āļąāđ‰āļ‡āļ„āđāļēāļ–āļēāļĄāļāļēāļĢ āļ§āļīāļˆāļąāļĒāļŠāļēāļĄāļ‚āđ‰āļ­āđāļĨāļ°āļŠāļĢāđ‰āļēāļ‡āļŦāļąāļ§āļ‚āđ‰āļ­āļ—āļĩāđˆāļˆāļ°āļ•āļ­āļšāļ•āļēāļĄāļĨāđāļēāļ”āļąāļš āļ„āđāļēāļ–āļēāļĄāļ§āļīāļˆāļąāļĒāļ‚āđ‰āļ­āđāļĢāļāđ€āļāļĩāđˆāļĒāļ§āļāļąāļš “āđ‚āļ­āļāļēāļŠāļ‚āļ­āļ‡āļ„āļ§āļēāļĄāļĢāđˆāļ§āļĄāļĄāļ·āļ­ āļ”āđ‰āļēāļ™āļāļēāļĢāļ—āđˆāļ­āļ‡āđ€āļ—āļĩāđˆāļĒāļ§āļĢāļ°āļŦāļ§āđˆāļēāļ‡āļˆāļĩāļ™āđāļĨāļ°āđ„āļ—āļĒāļ„āļ·āļ­āļ­āļ°āđ„āļĢ” āđāļĨāļ°āđƒāļŠāđ‰āļŦāļąāļ§āļ‚āđ‰āļ­āļ‚āļ­āļ‡āļāļēāļĢāđƒāļŠāđ‰āļ—āļĢāļąāļžāļĒāļēāļāļĢāđƒāļŦāđ‰āđ€āļāļīāļ”āļ›āļĢāļ°āđ‚āļĒāļŠāļ™āđŒ āļŠāļđāļ‡āļŠāļļāļ”āđ€āļžāļ·āđˆāļ­āļ•āļ­āļšāļ„āđāļēāļ–āļēāļĄāļ™āļĩāđ‰ āļŦāļĄāļēāļĒāļ„āļ§āļēāļĄāļ§āđˆāļēāđ‚āļ­āļāļēāļŠāļ‚āļ­āļ‡āļ„āļ§āļēāļĄāļĢāđˆāļ§āļĄāļĄāļ·āļ­āļ”āđ‰āļēāļ™āļāļēāļĢāļ—āđˆāļ­āļ‡āđ€āļ—āļĩāđˆāļĒāļ§āļĢāļ°āļŦāļ§āđˆāļēāļ‡āļˆāļĩāļ™āđāļĨāļ° āđ„āļ—āļĒāļ„āļ·āļ­āļāļēāļĢāđƒāļŠāđ‰āļ—āļĢāļąāļžāļĒāļēāļāļĢāļ—āļĩāđˆāļĄāļĩāļ­āļĒāļđāđˆāđƒāļ™āļ­āļļāļ•āļŠāļēāļŦāļāļĢāļĢāļĄāļāļēāļĢāļ—āđˆāļ­āļ‡āđ€āļ—āļĩāđˆāļĒāļ§āđƒāļŦāđ‰āđ€āļāļīāļ”āļ›āļĢāļ°āđ‚āļĒāļŠāļ™āđŒāļŠāļđāļ‡āļŠāļļāļ” āļ„āđāļēāļ–āļēāļĄāļāļēāļĢāļ§āļīāļˆāļąāļĒ āļ—āļĩāđˆāļŠāļ­āļ‡āļ„āļ·āļ­ “āļ­āļ°āđ„āļĢāļ„āļ·āļ­āļ„āļ§āļēāļĄāļ—āđ‰āļēāļ—āļēāļĒāļ‚āļ­āļ‡āļ„āļ§āļēāļĄāļĢāđˆāļ§āļĄāļĄāļ·āļ­āļ”āđ‰āļēāļ™āļāļēāļĢāļ—āđˆāļ­āļ‡āđ€āļ—āļĩāđˆāļĒāļ§āļĢāļ°āļŦāļ§āđˆāļēāļ‡āļˆāļĩāļ™āđāļĨāļ°āđ„āļ—āļĒ” āđāļĨāļ°āļŦāļąāļ§āļ‚āđ‰āļ­ āļ—āļĩāđˆāđƒāļŠāđ‰āđƒāļ™āļāļēāļĢāļ•āļ­āļšāļ„āļ·āļ­āļ āļēāļ§āļ°āļ–āļ”āļ–āļ­āļĒāļ‚āļ­āļ‡āđ€āļĻāļĢāļĐāļāļāļīāļˆāļāļēāļĢāļ—āđˆāļ­āļ‡āđ€āļ—āļĩāđˆāļĒāļ§ āļ™āļąāļĒāļ§āđˆāļēāļ„āļ§āļēāļĄāļĢāđˆāļ§āļĄāļĄāļ·āļ­āļ”āđ‰āļēāļ™āļāļēāļĢāļ—āđˆāļ­āļ‡āđ€āļ—āļĩāđˆāļĒāļ§ āļĢāļ°āļŦāļ§āđˆāļēāļ‡āļˆāļĩāļ™āđāļĨāļ°āđ„āļ—āļĒāļ­āļēāļˆāđ„āļ”āđ‰āļĢāļąāļšāļœāļĨāļāļĢāļ°āļ—āļšāđāļĨāļ°āļ—āđ‰āļēāļ—āļēāļĒāļˆāļēāļāļ āļēāļ§āļ°āđ€āļĻāļĢāļĐāļāļāļīāļˆāļāļēāļĢāļ—āđˆāļ­āļ‡āđ€āļ—āļĩāđˆāļĒāļ§āļ—āļĩāđˆāļ–āļ”āļ–āļ­āļĒ āļŠāļļāļ”āļ—āđ‰āļēāļĒ āļ„āđāļēāļ–āļēāļĄāļ§āļīāļˆāļąāļĒāļ‚āđ‰āļ­āļ—āļĩāđˆāļŠāļēāļĄāļ„āļ·āļ­ “āļ„āļ§āļēāļĄāļĢāđˆāļ§āļĄāļĄāļ·āļ­āļ”āđ‰āļēāļ™āļāļēāļĢāļ—āđˆāļ­āļ‡āđ€āļ—āļĩāđˆāļĒāļ§āļ—āđāļēāđƒāļŦāđ‰āđ€āļāļīāļ”āļāļēāļĢāļžāļąāļ’āļ™āļēāļ—āļĩāđˆāļĒāļąāđˆāļ‡āļĒāļ·āļ™āđƒāļ™ āļ­āļļāļ•āļŠāļēāļŦāļāļĢāļĢāļĄāļāļēāļĢāļ—āđˆāļ­āļ‡āđ€āļ—āļĩāđˆāļĒāļ§āđ„āļ”āđ‰āļ­āļĒāđˆāļēāļ‡āđ„āļĢ” āđāļĨāļ°āļŦāļąāļ§āļ‚āđ‰āļ­āļ—āļĩāđˆāđƒāļŠāđ‰āđƒāļ™āļāļēāļĢāļ•āļ­āļšāļ„āđāļēāļ–āļēāļĄāļ§āļīāļˆāļąāļĒāļ™āļĩāđ‰āļ„āļ·āļ­āļāļēāļĢāđƒāļŦāđ‰āļšāļĢāļīāļāļēāļĢāļ—āļĩāđˆāļ”āļĩ āļ‚āļķāđ‰āļ™ 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āļāļēāļĢāđāļšāđˆāļ‡āļ›āļąāļ™āļ„āļ§āļēāļĄāļĢāļđāđ‰ āļ•āļĨāļēāļ”āđāļšāđˆāļ‡āļ›āļąāļ™ āđāļĨāļ°āļāļēāļĢāđāļĨāļāđ€āļ›āļĨāļĩāđˆāļĒāļ™āļ—āļĢāļąāļžāļĒāļēāļāļĢ āļŠāļīāđˆāļ‡āļ™āļĩāđ‰āļ—āđāļēāđƒāļŦāđ‰āļ­āļļāļ•āļŠāļēāļŦāļāļĢāļĢāļĄāļāļēāļĢāļ—āđˆāļ­āļ‡āđ€āļ—āļĩāđˆāļĒāļ§āļŠāļēāļĄāļēāļĢāļ–āļ‚āļĒāļēāļĒ āđ„āļ›āļŠāļđāđˆāļ•āļĨāļēāļ”āļ—āļĩāđˆāđƒāļŦāļāđˆāļ‚āļķāđ‰āļ™ āļĨāļ”āļ„āļ§āļēāļĄāđ€āļŠāļĩāđˆāļĒāļ‡āļ‚āļ­āļ‡āļāļēāļĢāļ‚āļēāļ”āļ—āļļ

    Understanding and controlling microbial biofilm formation by surface engineering and novel biofilm inhibitors

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    Microbial biofilms cause serious problems including biocorrosion and biofouling in industrial environments as well persistent infections in clinical settings. As one of the key intrinsic mechanisms, biofilms aggravate the wide spread of antimicrobial resistance. Despite the significant problems caused by biofilms, biofilm formation is still poorly understood and effective control of biofilms remains challenging. In this work, several interdisciplinary approaches were developed and characterized to better understand the fundamentals of biofilm formation and to improve biofilm control. Self-assembled monolayers (SAMs) were applied to obtain well-defined surfaces with tunable inertness to microbial adhesion and biofilm formation by changing the functional groups of SAMs. By applying this useful platform, micro-patterns of surface chemistry were obtained to study microbe-surface interactions at the molecular and cellular levels. D-mannitol-terminated SAM was found to have unprecedented inertness to biofilm formation (up to 26 days). In addition, the data of patterned biofilm formation suggest that a critical distance may exist, beyond which bacteria cannot interact appropriately between clusters in biofilm formation. In addition to the fundamental study, several approaches were also explored to better control biofilms. First, brominated furanones (BFs) and cationic antimicrobial peptides (AMPs) were investigated as novel biofilm inhibitors. Several new BFs were found to have potent inhibitory effects on biofilm formation at the concentrations noninhibitory to planktonic growth of Gram-negative bacteria. The data led to identification of important structural elements of BFs for biofilm control. Hexameric, octameric, and dendrimeric peptides with Trp/Arg repeats also exhibited strong inhibitory effects on biofilm formation. Octameric peptide was also found to be a possible biofilm dispersion agent. It removed and killed up to 95.4% of E. coli biofilm cells from a stainless steel surface at 200 ΞM. Furthermore, a biocompatible nanofibrous scaffold containing ionic silver was demonstrated to resist biofilm formation for 14 days with controlled release of silver ions. These data provide new insights for understanding biofilm formation and developing biofilm control with enhanced prolonged efficacy

    STA-GAN: A Spatio-Temporal Attention Generative Adversarial Network for Missing Value Imputation in Satellite Data

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    Satellite data is of high importance for ocean environment monitoring and protection. However, due to the missing values in satellite data, caused by various force majeure factors such as cloud cover, bad weather and sensor failure, the quality of satellite data is reduced greatly, which hinders the applications of satellite data in practice. Therefore, a variety of methods have been proposed to conduct missing data imputation for satellite data to improve its quality. However, these methods cannot well learn the short-term temporal dependence and dynamic spatial dependence in satellite data, resulting in bad imputation performance when the data missing rate is large. To address this issue, we propose the Spatio-Temporal Attention Generative Adversarial Network (STA-GAN) for missing value imputation in satellite data. First, we develop the Spatio-Temporal Attention (STA) mechanism based on Graph Attention Network (GAT) to learn features for capturing both short-term temporal dependence and dynamic spatial dependence in satellite data. Then, the learned features from STA are fused to enrich the spatio-temporal information for training the generator and discriminator of STA-GAN. Finally, we use the generated imputation data by the trained generator of STA-GAN to fill the missing values in satellite data. Experimental results on real datasets show that STA-GAN largely outperforms the baseline data imputation methods, especially for filling satellite data with large missing rates

    Combined effects of earthworms and biochar on PAHs-contaminated soil remediation: A review

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    International audienceEarthworm remove PAHs from soil by bioaccumulation and stimulating microbial degradation. â€Ē Biochar can adsorb PAHs and promote microbial degradation in soil. â€Ē Earthworm improve the adsorption process of biochar by bioturbation. â€Ē Biochar reduce the vermiaccumulation and improve the decomposition of PAHs by earthworm. Polycyclic aromatic hydrocarbons (PAHs) in soil pose a threat to the health of humans and other organisms due to their persistence. The remediation method of combined application of biochar and earthworms has received growing attention owing to its effectiveness in PAHs removal. However, the earthworm-biochar interaction and its influence on PAHs in soil has not been systematically reviewed. This review focuses on the effectiveness of combined application of earthworms and biochar in the remediation of PAHs-contaminated soils and the underlying mechanisms, including adsorption, bioaccumulation, and biodegradation. Earthworm-biochar interaction activates the functional microorganisms in soil and the PAHs-degrading microorganisms in earthworm guts, promoting PAHs biodegradation. This review provides a theoretical support for the combined application of biochar and earthworms in the remediation of PAHs-contaminated soils, points out the limitations of this remediation method, and finally shows the prospects for future research

    Eco-civilisation provides new opportunities for rewilding in China

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    Ecological civilisation has become China’s national strategy to promote harmonious coexistence between man and nature. China is a country that contains vast amounts of wilderness, while facing the threats from reduction and degradation of wilderness areas. As ecological civilisation provides new opportunities for rewilding, this chapter analyses how to incorporate rewilding into the core actions of ecological civilisation, including the National Territory Spatial Planning System (NTSPS), national parks and protected areas, and ecological protection and restoration projects of Mountains-Rivers-Forests-Farmlands-Lakes-Grasslands (MRFFLG). Rewilding and ecological civilisation are both developing concepts, and integrated thinking on these two concepts will promote related research and practice
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