IF 2.3 3区环境科学与生态学 Q2 ENGINEERING, CIVIL

Journal of Hydro-environment Research

Pub Date : 2026-06-30 Epub Date: 2026-02-05 DOI: 10.1016/j.jher.2026.100697

Ji Yae Shin , Jeongwoo Han , Hyun-Han Kwon , Tae-Woong Kim

Standardized Precipitation Index (SPI) is widely used for monitoring drought due to its simplicity and effectiveness. However, various uncertainties arise from multiple factors in SPI calculation including the length of precipitation data, accumulation periods, probability distributions, and parameter estimation methods. This study aims to quantify the relative contribution of these factors to SPI uncertainty using a linear mixed model (LMM). In this study, various SPI calculation scenarios were considered by combining three data lengths (20, 30, and 50 years), four accumulation periods (1, 3, 6, and 12 months), five probability distributions (gamma, normal, log-normal, logistic, and generalized extreme value), and two parameter estimation methods (maximum likelihood estimation and L-moment). In our study, reference precipitation was defined as the amount of precipitation corresponding to a target SPI value (e.g., –1.0 or –2.0), determined by inverting the standard SPI calculation process. The uncertainty was quantified by calculating the root mean square error (RMSE) between the reference SPI and calculated SPI from various SPI calculation scenarios. The results showed that uncertainty decreased with longer accumulation periods and data lengths, while the RMSE was substantially higher and more variable under SPI = –2.0 than SPI = –1.0. The LMM was then used to assess the contribution of each uncertainty factor. The results revealed that for moderate drought conditions (SPI = –1.0), the primary contributors to uncertainty were sample size and accumulation period. However, under extreme drought conditions (SPI = –2.0), probability distribution accounted for over 50% of the total variance, reaching up to 84% in some cases. The impact of parameter estimation methods was relatively nonsignificant under all conditions, consistently accounting for less than 3% of the total variance. These findings suggest that selecting an appropriate distribution and using long-term precipitation data are critical for improving the reliability of SPI-based drought assessments. This study highlights the critical need for long-term precipitation records (at least 50 years), appropriate accumulation periods, and rigorous selection of probability distributions, particularly under extreme drought conditions.

标准化降水指数（SPI）因其简单、有效而被广泛应用于干旱监测。但是，在SPI计算中，降水数据的长度、积累周期、概率分布、参数估计方法等因素会产生各种不确定性。本研究旨在利用线性混合模型（LMM）量化这些因素对SPI不确定性的相对贡献。本研究结合3种数据长度（20年、30年和50年）、4个积累周期（1、3、6和12个月）、5种概率分布（gamma、正态、对数正态、logistic和广义极值）以及2种参数估计方法（极大似然估计和l矩），考虑了多种SPI计算场景。在我们的研究中，参考降水量被定义为与目标SPI值（例如-1.0或-2.0）相对应的降水量，通过反演标准SPI计算过程来确定。通过计算参考SPI与各种SPI计算场景下计算SPI之间的均方根误差（RMSE）来量化不确定度。结果表明，随着积累周期和数据长度的延长，不确定性降低，而SPI = -2.0时的RMSE比SPI = -1.0时的RMSE高得多，变量也更多。然后使用LMM来评估每个不确定因素的贡献。结果表明，在中度干旱条件下（SPI = -1.0），不确定性的主要影响因子是样本量和积累期。而在极端干旱条件下（SPI = -2.0），概率分布占总方差的50%以上，有的甚至高达84%。在所有条件下，参数估计方法的影响相对不显著，始终占总方差的3%以下。这些发现表明，选择适当的分布和使用长期降水数据对于提高基于spi的干旱评估的可靠性至关重要。这项研究强调了对长期降水记录（至少50年）、适当的积累期和严格选择概率分布的迫切需要，特别是在极端干旱条件下。

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引用次数: 0

Biofouling control by quorum quenching bacteria in membrane bioreactors for high strength wastewater treatment with doubled flux 双通量高强度废水膜生物反应器中群体猝灭菌的生物污染控制

IF 6.3 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Journal of Environmental Sciences-china

Pub Date : 2026-06-01 Epub Date: 2025-06-28 DOI: 10.1016/j.jes.2025.06.055

Li Wang , Meng Zhang , Hui Xu , Jianbo Liu

Membrane bioreactor (MBR) has been widely accepted as an advanced wastewater treatment technology, while biofouling is still a bottleneck in extensive growth of MBR markets. The introduction of quorum quenching (QQ) bacteria, which disrupts the formation of the biofouling layer on the immersed membrane surface, holds the promise to inhibit biofouling problem for MBR. Nevertheless, high strength wastewater containing high chemical oxygen demand (COD) and ammonia nitrogen (N) could easily promote biomass growth in MBRs, leading to higher extracellular polymeric substance (EPS) production and resulting in higher membrane biofouling. This study achieved a double critical flux enhancement (0.3→0.6 m/day) coupled with a >14 days operational extension through QQ-mediated EPS modulation, specifically targeting protein reduction (50.68 % decrease). Notably, QQ efficacy persisted under high-strength conditions, maintaining >94 % NH₄⁺-N removal and >93 % COD removal across cycles. These findings substantiate the scalability of the QQ strategy for the treatment of high COD and high N wastewater at a high flux of 0.6 m/day, offering a robust theoretical framework for its implementation in mitigating membrane fouling and optimizing the performance of membrane reactors in practical applications.

膜生物反应器（MBR）作为一种先进的污水处理技术已被广泛接受，但生物污染仍是制约MBR市场广泛发展的瓶颈。引入群体猝灭（QQ）细菌，破坏浸入膜表面生物污垢层的形成，有望抑制MBR的生物污垢问题。然而，含有高化学需氧量（COD）和氨氮(N)的高强度废水容易促进mbr的生物量生长，从而导致更高的胞外聚合物（EPS）产量，从而导致更高的膜生物污染。该研究通过qq介导的EPS调节，实现了双临界通量增强（0.3→0.6 m/天），并延长了14天的运行时间，特别是针对蛋白质减少（减少50.68%）。值得注意的是，QQ⁺在高强度条件下仍然有效，在多个循环中保持了94%的NH₄+ -N去除率和93%的COD去除率。这些研究结果证实了QQ策略在0.6 m/d的高通量下处理高COD和高N废水的可扩展性，为其在实际应用中减轻膜污染和优化膜反应器性能提供了强有力的理论框架。

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引用次数: 0

Modeling tiger dispersal in the central Indian landscape using a prey-predator game theory approach coupled with network analysis and remote sensing-GIS 利用猎物-捕食者博弈论方法结合网络分析和遥感-地理信息系统模拟印度中部地区老虎的扩散

IF 2.5 3区环境科学与生态学 Q2 BIODIVERSITY CONSERVATION

Journal for Nature Conservation

Pub Date : 2026-06-01 Epub Date: 2026-01-16 DOI: 10.1016/j.jnc.2026.127224

Anam Ahsan , Saurabh Shanu , Arijit Roy

Bengal tigers (Panthera tigris tigris) primarily inhabit fragmented and isolated landscapes, threatening their long-term survival. Habitat fragmentation disrupts movement, reduces genetic diversity, limits prey availability, and increases human-wildlife conflict. Maintaining ecological connectivity is essential for tiger dispersal and population stability. This study employs Remote Sensing and Geographic Information System (GIS) techniques to analyze habitat connectivity across six tiger reserves. Habitat suitability models, incorporating vegetation indices, prey density, and anthropogenic factors, were developed using GIS-based spatial analysis. Using a 200 km threshold, binary and probabilistic indices were applied to identify critical habitat patches for tiger dispersal. The Kanha-Achanakmar landscape emerged as a crucial corridor, exhibiting the highest Betweenness Centrality (BC) and Integral Index of Connectivity (IIC) values, highlighting its role in sustaining tiger populations and facilitating ecological linkages.

Additionally, the study integrates graph-theoretic and game-theoretic models to assess tiger dispersal dynamics. The game-theoretic approach evaluates behavioral strategies and the impact of landscape modifications on population viability. The findings emphasize the Pench-Kanha-Achanakmar corridor as a key dispersal route, supporting prey interactions and ecological stability. This research provides a computational framework for conservation planning, leveraging Remote Sensing, GIS, and mathematical modeling to inform strategies for maintaining long-term habitat connectivity and the persistence of wild tiger populations.

孟加拉虎（Panthera tigris tigris）主要生活在破碎和孤立的景观中，威胁着它们的长期生存。栖息地的破碎破坏了迁徙，减少了遗传多样性，限制了猎物的可得性，并增加了人类与野生动物的冲突。维持生态连通性对老虎的扩散和种群稳定至关重要。本研究采用遥感和地理信息系统（GIS）技术分析了六个老虎保护区的栖息地连通性。基于gis的空间分析方法，建立了包括植被指数、猎物密度和人为因素在内的生境适宜性模型。以200 km为阈值，采用二元指数和概率指数确定老虎扩散的关键生境斑块。坎哈-阿恰纳克马尔景观是一个重要的走廊，表现出最高的中间性中心性（BC）和整体连通性指数（IIC）值，突出了其在维持老虎种群和促进生态联系方面的作用。此外，该研究结合了图论和博弈论模型来评估老虎的扩散动力学。博弈论方法评估了行为策略和景观改变对种群生存能力的影响。研究结果强调，Pench-Kanha-Achanakmar走廊是一个关键的扩散路径，支持猎物相互作用和生态稳定。本研究为保护规划提供了一个计算框架，利用遥感、地理信息系统和数学模型，为维持野生老虎种群的长期栖息地连通性和持久性提供信息。

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引用次数: 0

Genomic, pangenomic, metagenomic and trancriptomics perspectives to enhance microbial modeling and quantitative risk assessment in food environments 从基因组学、泛基因组学、宏基因组学和转录组学的角度来增强食物环境中的微生物建模和定量风险评估

IF 4 4区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Microbial Risk Analysis

Pub Date : 2026-06-01 Epub Date: 2026-01-14 DOI: 10.1016/j.mran.2026.100364

Wilson José Fernandes Lemos Junior , Larissa P Margalho , Claudio Cipolat-Gotet , Anderson S. Sant'Ana

Recent advances in genomics, pangenomics, transcriptomics, and metatranscriptomics have expanded the resolution with which microbial traits relevant to food safety can be described. These approaches complement classical predictive models, which traditionally rely on population-averaged parameters and may overlook the heterogeneity that exists among strains and microbial communities. Omics data help identify genetic, functional, and regulatory features that underpin differences in stress tolerance, growth potential, and virulence, offering a more precise basis for hazard identification and exposure assessment. Genomic and pangenomic analyses clarify how core and accessory gene pools shape strain-level behavior, while transcriptomic studies reveal active pathways during acid, cold, or osmotic challenges. Metatranscriptomics extends this insight to complex communities, capturing how dominant and satellite members contribute to ecosystem function under food-relevant conditions. Incorporating these datasets into predictive microbiology and quantitative microbial risk assessment (QMRA) supports more realistic estimates of growth, survival, and persistence, reducing uncertainty in hazard characterization. Evidence shows that many food-associated strains are hypovirulent or slow-growing, indicating that risk may be overestimated when genetic heterogeneity is not considered. Although molecular data do not directly prescribe mitigation strategies, they support risk management by identifying which subpopulations merit targeted interventions, clarifying which process parameters influence persistence, and refining prioritization decisions. Our work discusses how omics tools align with primary, secondary, and tertiary predictive models and examines the complementarity between traditional decision-making frameworks and AI-based methods. Emphasis is also placed on sustainability, as omics-informed modeling enables more efficient in silico assessments and reduces dependence on resource-intensive challenge testing. Together, these developments strengthen the connection between risk assessment and risk management, supporting more proportionate and informed food safety decisions.

基因组学、泛基因组学、转录组学和超转录组学的最新进展扩大了与食品安全相关的微生物性状的描述分辨率。这些方法补充了传统的预测模型，传统的预测模型依赖于种群平均参数，可能忽略了菌株和微生物群落之间存在的异质性。组学数据有助于确定遗传、功能和调控特征，这些特征支撑着胁迫耐受性、生长潜力和毒力的差异，为危害识别和暴露评估提供了更精确的基础。基因组学和泛基因组学分析阐明了核心和辅助基因库如何塑造菌株水平的行为，而转录组学研究揭示了在酸、冷或渗透挑战下的活性途径。亚转录组学将这种见解扩展到复杂的群落，捕捉主导和卫星成员如何在与食物相关的条件下对生态系统功能做出贡献。将这些数据集纳入预测微生物学和定量微生物风险评估（QMRA），支持对生长、生存和持久性进行更现实的估计，减少了危害表征的不确定性。有证据表明，许多与食物有关的菌株毒性较低或生长缓慢，这表明，如果不考虑遗传异质性，风险可能被高估。虽然分子数据不能直接规定缓解策略，但它们通过确定哪些亚群值得进行有针对性的干预、澄清哪些过程参数影响持久性以及改进优先级决策来支持风险管理。我们的工作讨论了组学工具如何与一级、二级和三级预测模型保持一致，并检查了传统决策框架和基于人工智能的方法之间的互补性。重点还放在可持续性上，因为基于组学的建模能够更有效地进行计算机评估，并减少对资源密集型挑战测试的依赖。总之，这些发展加强了风险评估和风险管理之间的联系，支持更适当和知情的食品安全决策。

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引用次数: 0

Exploring the potential of generative AI to complement multi-stakeholder landscape preference assessment 探索生成式人工智能的潜力，以补充多利益相关者景观偏好评估

IF 9.2 1区环境科学与生态学 Q1 ECOLOGY

Landscape and Urban Planning

Pub Date : 2026-06-01 Epub Date: 2026-02-23 DOI: 10.1016/j.landurbplan.2026.105602

Jingya Lin , Chongzhi Chen , Tian Feng , Sigao Huo , Kexin Zhang , Baiyu Dong , Shanshan Xiang , Ke Wang , Lu Huang

As urbanization and agricultural intensification continue to reshape rural landscapes, understanding and incorporating diverse stakeholder preferences has become crucial for sustainable land use and management. Traditional landscape preference assessments remain constrained by limited scalability, high cost, and time intensity, highlighting the potential of artificial intelligence to complement human evaluation. This study employs two multimodal large language models (MLLMs), GPT-4o and Qwen3, to simulate and analyze the landscape preferences of farmers, tourists, and experts in the Mulberry-Dyke and Fish-Pond agricultural landscape in China. Extreme gradient boosting and Shapley additive explanations were applied to examine discrepancies between MLLMs’ predictions and human judgments, and to examine how specific landscape characteristics shape stakeholder preferences. Furthermore, stakeholder-derived importance weights of landscape characteristics were incorporated into the prompts to improve model alignment with human perception. The results show that GPT-4o outperformed Qwen3 in predicting human preferences. While humans emphasized the dyke-pond ratio and fishpond shape, GPT-4o tended to prioritize built-environment features such as local buildings. Incorporating stakeholder evaluations into the prompting process substantially enhanced model-human correlation by approximately 38%, 85%, and 54% for farmers, tourists, and experts, respectively. These findings demonstrate that MLLMs can serve as adaptive tools for multi-stakeholder landscape preference evaluations, offering new opportunities to integrate diverse human perspectives into landscape planning and decision-making.

随着城市化和农业集约化继续重塑农村景观，了解和纳入不同利益相关者的偏好对于可持续土地利用和管理至关重要。传统的景观偏好评估仍然受到有限的可扩展性、高成本和时间强度的限制，这凸显了人工智能对人类评估的补充潜力。本研究采用gpt - 40和Qwen3两个多模态大语言模型（mllm），对中国桑堤鱼塘农业景观中农户、游客和专家的景观偏好进行模拟分析。应用极端梯度增强和Shapley加性解释来检验mllm预测与人类判断之间的差异，并检验特定景观特征如何影响利益相关者的偏好。此外，将利益相关者衍生的景观特征重要性权重纳入提示中，以提高模型与人类感知的一致性。结果表明，gpt - 40在预测人类偏好方面优于Qwen3。当人类强调堤塘比例和鱼塘形状时，gpt - 40倾向于优先考虑建筑环境特征，如当地建筑。将利益相关者评估纳入提示过程中，对农民、游客和专家来说，模型与人的相关性分别提高了约38%、85%和54%。这些发现表明，mllm可以作为多利益相关者景观偏好评估的适应性工具，为将不同的人类视角整合到景观规划和决策中提供了新的机会。

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引用次数: 0

Generative artificial intelligence use in automated urban ecological assessments requires substantial human oversight 在自动化城市生态评估中使用生成式人工智能需要大量的人为监督

IF 9.2 1区环境科学与生态学 Q1 ECOLOGY

Landscape and Urban Planning

Pub Date : 2026-06-01 Epub Date: 2026-02-26 DOI: 10.1016/j.landurbplan.2026.105615

Daniel Richards , David Worden , Sandra Lavorel

Automated data processing pipelines and generative artificial intelligence (AI) present new opportunities for scaling ecological assessments across urban areas, yet the practical utility and limitations remain untested. This study provides a workflow for automated urban ecological reporting, which integrates 25 public datasets and performs statistical and spatial data analyses to quantify indicators of biodiversity and ecosystem services. The workflow incorporates large language models to aid synthesis and writing. Reports were generated for diverse cities worldwide and reviewed by domain experts to assess quality, trust, and potential to inform urban planning. Respondents found that while the structure and data integration had potential to be helpful, the draft reports required substantial human revision. Factual sections relying on high-quality datasets needed the fewest changes, whereas content based heavily on AI inference, such as descriptions of climate change adaptation options, were inaccurate, generic, or culturally inappropriate. Despite these limitations, participants generally viewed the reports as potentially helpful. Of the total labour required to create reports, respondents estimated that around 10% could be substituted by automation. Our findings suggest that AI-assisted automated report generation may be scaled up to support urban sustainability efforts, but only with strong human oversight and transparent disclosure of AI use. Trust in automated assessments depends on transparency, and the inclusion of local voices in legitimising final outputs. Even with automation, substantial investment in human labour will be required to make ecological assessments available for towns and cities around the world.

自动化数据处理管道和生成式人工智能（AI）为在城市地区扩大生态评估规模提供了新的机会，但实际效用和局限性仍有待检验。本研究提供了一个城市生态自动化报告的工作流程，该流程整合了25个公共数据集，并进行了统计和空间数据分析，以量化生物多样性和生态系统服务指标。工作流包含大型语言模型，以帮助合成和编写。报告是为世界各地不同的城市生成的，并由领域专家审查，以评估质量、信任和潜力，为城市规划提供信息。受访者发现，虽然结构和数据集成有可能有所帮助，但报告草案需要大量的人工修改。依赖于高质量数据集的事实部分需要的修改最少，而基于人工智能推断的内容，如对气候变化适应方案的描述，则不准确、通用或在文化上不合适。尽管存在这些限制，但参与者普遍认为这些报告可能有帮助。在创建报告所需的全部劳动力中，受访者估计约有10%可以被自动化取代。我们的研究结果表明，人工智能辅助的自动报告生成可以扩大规模，以支持城市可持续发展的努力，但前提是必须有强有力的人为监督和透明的人工智能使用披露。对自动评估的信任取决于透明度，以及在最终产出合法化过程中纳入当地的声音。即使有了自动化，也需要对人力进行大量投资，以便为世界各地的城镇进行生态评估。

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引用次数: 0

Nasal hormone administration can support ambystomid salamander ex situ conservation breeding programs 鼻激素管理可以支持ambystomid salamander移地保护育种计划

IF 2.5 3区环境科学与生态学 Q2 BIODIVERSITY CONSERVATION

Journal for Nature Conservation

Pub Date : 2026-06-01 Epub Date: 2026-01-06 DOI: 10.1016/j.jnc.2026.127211

Devin M. Chen , Carrie K. Kouba , Terri L. Roth , Peter J. Allen , Nucharin Songsasen , Andrew J. Kouba

Over half of all species within the order Caudata are threatened and in need of conservation breeding efforts to prevent further population declines. Unfortunately, amphibians under human care can often face breeding difficulties due to challenges associated with mimicking natural environmental cues that initiate hormonal cascades for successful reproduction. Exogenous hormone administration can be an effective approach to overcome such seasonal and behavioral barriers in captivity. This research aimed to evaluate two different gonadotropin releasing hormone (GnRH) administration pathways on sperm quantity and quality in eastern tiger salamanders (Ambystoma tigrinum). Each tiger salamander (n = 14 males/treatment) was randomly rotated through six treatments, which included a Low (0.02 μg/g), Medium (0.1 μg/g), and High (0.5 μg/g) resolving GnRH concentration 24 h after a prime of 0.025 μg/g of GnRH, administered either intramuscularly or nasally. There was no significant difference (p > 0.05) in the number of spermic responders among treatments. The Medium nasal treatment resulted in the highest sperm concentration (5.2 ± 2.4 × 10⁶ sperm/mL) and was not different (p > 0.05) from the Medium (1.7 ± 0.5 × 10⁶ sperm/mL) or High (3.5 ± 1.3 × 10⁶ sperm/mL) intramuscular treatments. Sperm morphology and velocity were not different (p > 0.05) among the doses and administration routes. We show that nasal administration of GnRH in tiger salamanders can result in sperm samples with high concentration and motility. Less invasive hormone administration routes may provide an alternative strategy for hormone treatment in at-risk caudates, especially when injections are not feasible.

尾尾目中超过一半的物种受到威胁，需要保护繁殖措施以防止种群进一步减少。不幸的是，在人类照顾下的两栖动物经常面临繁殖困难，这是由于模仿自然环境线索引发成功繁殖的激素级联所带来的挑战。外源性激素管理可以有效地克服这种季节性和行为障碍在圈养。本研究旨在探讨两种不同的促性腺激素释放激素（GnRH）给药途径对东部虎蝾螈精子数量和质量的影响。每只虎蝾螈（雄性14只/组）在肌肉或鼻腔注射0.025 μg GnRH 24 h后，随机旋转6个处理，分别为低（0.02 μg/g）、中（0.1 μg/g）和高（0.5 μg/g）处理。不同治疗组的精子应答数差异无统计学意义（p > 0.05）。中鼻组的精子浓度最高（5.2±2.4 × 106精子/mL），与肌肉注射组（1.7±0.5 × 106精子/mL）和肌肉注射组（3.5±1.3 × 106精子/mL）差异无统计学意义（p > 0.05）。不同剂量和给药途径对精子形态和速度无显著影响（p > 0.05）。我们表明，在虎蝾螈鼻给药GnRH可以导致精子样品具有高浓度和运动性。侵入性较小的激素给药途径可能为高危尾状动脉的激素治疗提供另一种策略，特别是在注射不可行的情况下。

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引用次数: 0

Promote or inhibit? The impact of national park establishment on regional economic development: Evidence from Wuyishan National Park, China 促进还是抑制？国家公园建设对区域经济发展的影响——以武夷山国家公园为例

IF 2.5 3区环境科学与生态学 Q2 BIODIVERSITY CONSERVATION

Journal for Nature Conservation

Pub Date : 2026-06-01 Epub Date: 2026-01-18 DOI: 10.1016/j.jnc.2026.127230

Suwan Li , Honghong Yu , Mengyuan Qiu , Jiameng Yang

Clarifying the effects of national park establishment on regional economic development is essential for ensuring policy sustainability. This study treats Wuyishan National Park Establishment (WNPE) as a quasi-natural experiment and constructs a panel dataset for 138 counties in Fujian, Jiangxi, and Zhejiang provinces over the period 2011–2023. Total factor productivity (TFP) is adopted as a proxy for regional economic development and is measured using the Super-SBM Global Malmquist Index Model. The difference-in-differences (DID) model, mediation effect model, and spatial econometric models are then employed to systematically assess the impact of WNPE on economic development, underlying transmission mechanisms, and spatial spillover effects. The results show that: (1) WNPE significantly suppresses regional economic development, and this finding remains robust to multiple robustness checks. (2) WNPE leads to sluggish growth in the tertiary sector while inducing only a limited withdrawal of the secondary sector, thereby hindering the process of industrial structure adjustment and ultimately exerting a negative impact on regional economic development. (3) Compared to counties with underdeveloped infrastructure, those with well-developed infrastructure can effectively alleviate the negative economic effects of WNPE. (4) At present, the impact of WNPE on the economies of adjacent regions is relatively limited, and no significant spatial spillover effects are observed. Overall, these findings reveal the relationship and mechanism between WNPE and regional economic development. These, in turn, provide the decision-making references for policymakers to develop scientific, targeted, and differentiated national park policies and adjust regional economic development strategies.

明确国家公园建设对区域经济发展的影响是确保政策可持续性的必要条件。本文以武夷山国家公园建设为准自然实验，构建了2011-2023年福建、江西、浙江三省138个县的面板数据集。采用Super-SBM全球Malmquist指数模型对全要素生产率（TFP）作为区域经济发展的指标进行测度。运用差别化差分（DID）模型、中介效应模型和空间计量经济学模型，系统评估了西部农村资本流动对经济发展的影响、潜在传导机制和空间溢出效应。研究结果表明：(1)WNPE显著抑制区域经济发展，且经多次稳健性检验，这一发现具有稳健性。(2) WNPE导致第三产业增长缓慢，第二产业退出有限，从而阻碍了产业结构调整进程，最终对区域经济发展产生负面影响。(3)与基础设施欠发达的县相比，基础设施发达的县可以有效缓解WNPE的负面经济效应。(4)目前，WNPE对相邻区域经济的影响相对有限，没有明显的空间溢出效应。总体而言，这些发现揭示了WNPE与区域经济发展的关系和机制。为决策者制定科学的、针对性的、差别化的国家公园政策和调整区域经济发展战略提供决策参考。

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引用次数: 0

Public awareness and risk-related practices regarding Hydatid Disease in Türkiye: a cross-sectional survey 日本公众对包虫病的认识和风险相关做法：一项横断面调查

IF 4 4区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Microbial Risk Analysis

Pub Date : 2026-06-01 Epub Date: 2026-02-11 DOI: 10.1016/j.mran.2026.100369

Sehriban Yurekturk , Canan Demir , Abdurrahman Ekici

Introduction

This study aimed to evaluate public awareness, knowledge, and risk-related practices regarding hydatid disease among adults in Türkiye.

Method

This cross-sectional survey included 1135 individuals aged ≥18 years residing in Türkiye. This internet-based cross-sectional study was conducted between February and May 2025. Data were collected using an online questionnaire distributed via social media platforms. Knowledge levels, sources of information, and risk-related practices were assessed. Associations between sociodemographic variables and knowledge levels were analyzed using appropriate statistical tests.

Results

Among the participants, 56.1% were unaware of the etiological agent of hydatid disease, and only 33.7% correctly identified parasites as the cause. Knowledge regarding transmission routes was limited, with only 24.2% recognizing the role of infected dogs. Risk-related practices were common; 42.7% reported home slaughtering, while 22.5% disposed of infected organs in household waste and 32.4% buried them. Significant associations were observed between occupational groups and knowledge levels concerning disease etiology and transmission, with students demonstrating higher awareness compared to other occupational groups (p = 0.001).

Conclusion

This study reveals that the level of knowledge and awareness regarding hydatid cyst disease in Turkish society is insufficient and that high-risk practices are widespread. These findings indicate the existence of a significant public health problem that hinders the control and prevention of the disease..

本研究旨在评估泰国成年人对包虫病的公众意识、知识和风险相关做法。方法横断面调查包括1135名年龄≥18岁的居住在挪威的个体。这项基于互联网的横断面研究于2025年2月至5月进行。数据是通过社交媒体平台分发的在线问卷收集的。评估了知识水平、信息来源和与风险相关的实践。使用适当的统计检验分析社会人口变量与知识水平之间的关联。结果56.1%的调查对象不清楚包虫病的病原，只有33.7%的调查对象能正确识别包虫病的病原。关于传播途径的知识有限，只有24.2%的人认识到受感染狗的作用。与风险相关的做法很常见；42.7%的人报告家庭屠宰，22.5%的人将感染的器官作为生活垃圾处理，32.4%的人将其掩埋。职业群体与疾病病因学和传播知识水平之间存在显著关联，与其他职业群体相比，学生表现出更高的认知（p = 0.001）。结论本研究揭示了土耳其社会对包虫病的认识和意识水平不足，高危行为普遍存在。这些发现表明存在一个严重的公共卫生问题，它阻碍了疾病的控制和预防。

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引用次数: 0

Warmed soon: Early-life thermal stress elevates glucocorticoids and delays dispersal in a long-lived bird 很快变暖：在长寿的鸟类中，早期的热应激会提高糖皮质激素并延迟传播

IF 3.4 2区环境科学与生态学 Q1 BIODIVERSITY CONSERVATION

Global Ecology and Conservation

Pub Date : 2026-06-01 Epub Date: 2026-03-02 DOI: 10.1016/j.gecco.2026.e04141

Laura Gangoso , Jana Cordes , Francisco Miranda , Eneko Arrondo , José Antonio Sánchez-Zapata , Manuel de la Riva , Ainara Cortés-Avizanda , José Antonio Donázar

Environmental stress during development can profoundly affect animal physiology and behavior, with potential long-term consequences for fitness. In birds, corticosterone (CORT) mediates responses to developmental challenges, including thermal stress. However, how exposure to extreme temperatures during development shapes post-fledging behavior in free-living species remains poorly understood. We studied 88 Griffon vulture (Gyps fulvus) fledglings from three populations in the Iberian Peninsula over three years to test whether extreme weather during development elevates feather CORT concentrations (CORT_f), and whether this hormonal profile is associated with fledging condition and post-fledging performance. We quantified CORT_f using enzyme immunoassays and assessed early dispersal behavior through GPS telemetry. We used temperature anomaly data from local weather stations to characterize thermal stress during four standardized developmental periods. Our results show strong interannual variation in CORT_f levels, reflecting broad differences in developmental conditions, and demonstrate that nestlings reared under higher-than-average temperatures during early development (from hatching to 40 days of age) had significantly elevated CORT_f levels, particularly those raised in exposed nests. Elevated CORT_f levels influenced early post-fledging performance: individuals with higher CORT_f dispersed later and exhibited reduced daily movements during the post-fledging period. These findings suggest that thermal stress experienced in the nest can alter the physiological trajectory of developing vultures and affect behavioral transitions critical to survival. Given the increased frequency of extreme temperature events under ongoing climate change, our results highlight the importance of developmental conditions in shaping individual variation and population dynamics in long-lived avian scavengers.

发育过程中的环境压力会深刻影响动物的生理和行为，并对健康产生潜在的长期影响。在鸟类中，皮质酮（CORT）介导对发育挑战的反应，包括热应激。然而，在发育过程中暴露于极端温度如何影响自由生活物种的羽化后行为仍然知之甚少。我们对来自伊比利亚半岛三个种群的88只秃鹫雏鸟进行了为期三年的研究，以测试发育期间的极端天气是否会提高羽毛的CORT浓度（CORTf），以及这种激素水平是否与羽化状况和羽化后的表现有关。我们使用酶免疫分析法量化了CORTf，并通过GPS遥测技术评估了早期扩散行为。我们使用当地气象站的温度异常数据来表征四个标准化发育时期的热应力。我们的研究结果显示，CORTf水平的年际变化很强，反映了发育条件的广泛差异，并表明在早期发育（从孵化到40日龄）在高于平均温度下饲养的雏鸟的CORTf水平显著升高，特别是那些在暴露巢穴中饲养的雏鸟。高水平的CORTf会影响羽化后的早期表现：在羽化后的时期，CORTf水平较高的个体分散较晚，日常活动减少。这些发现表明，巢中经历的热应激可以改变秃鹫发育的生理轨迹，并影响对生存至关重要的行为转变。考虑到在持续的气候变化下极端温度事件的频率增加，我们的研究结果强调了发育条件在塑造长寿鸟类食腐动物个体变异和种群动态中的重要性。

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