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Research on Water Resources Carrying Capacity in the Hexi Inland River Basin of China Based on "Four Waters and Four Determinations"-System Dynamics and Improved TOPSIS Model 基于“四水四定”的河西内陆河流域水资源承载力研究——系统动力学与改进TOPSIS模型
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-02-01 DOI: 10.1016/j.ecolind.2026.114642
Liangliang Du , Pengju Zhang , Zuirong Niu
The water resources in the inland river basin of the Hexi have been seriously imbalanced due to human activities and social development. Although many studies have established evaluation systems for water resources carrying capacity, research on a comprehensive analysis of the spatio-temporal heterogeneity of carrying capacity from a policy perspective is still relatively scarce due to cross-disciplinary and cross-field limitations.Therefore, this study adheres to the "Four Waters and Four Determinations" principle, constructs system dynamics models for the three major river basins of Shiyang River, Heihe River, and Shule River, adopts the "3+4" research paradigm, focuses on the three subsystems of water resources, economy and society, and ecological environment, sets up four development scenarios including the status quo continuation development type (S1), economic priority development type (S2), resource conservation development type (S3), and comprehensive development type (S4). It also employs a TOPSIS model based on game theory combination weighting and improved grey relational degree for evaluation and prediction.Research findings indicate: (1) During the forecast period from 2024 to 2030, the total carrying capacity of the three major river basins shows a significant upward trend, and by 2030, all will have reached a weakly bearable level (C > 0.5). For the same year, the carrying capacity magnitudes across the four development scenarios are ranked as follows: S3 > S4 > S1 > S2.(2) The carrying capacity of the water resources subsystem shows an overall downward trend. In the future, the Heihe River Basin and the Shule River Basin will be in a severely overloaded state. It is necessary to focus on governance from aspects such as total water consumption, irrigation water for farmland, and sewage treatment.(3) S3 Scenario has achieved remarkable results in various fields such as industry, agriculture, and domestic water use, significantly reducing the total water consumption. In contrast, although S2 Scenario helps to increase GDP and promote economic growth, it will also increase the total water consumption, which is not conducive to the intensive and economical use of water resources. Therefore, S3 Scenario is the optimal solution for achieving sustainable water resource utilization.The research results can provide a scientific basis for the sustainable development of water resources in the Hexi inland river basin and other similar basins.
由于人类活动和社会发展的原因,河西内陆河流域水资源严重失衡。虽然已有许多研究建立了水资源承载力评价体系,但由于跨学科、跨领域的限制,从政策角度对水资源承载力时空异质性进行综合分析的研究仍然相对较少。因此,本研究坚持“四水四决定”原则,构建石羊河、黑河、疏勒河三大流域的系统动力学模型,采用“3+4”研究范式,以水资源、经济社会、生态环境三个子系统为重点,设置了现状延续发展型(S1)、经济优先发展型(S2)、资源节约型开发类型(S3)和综合开发类型(S4)。采用基于博弈论组合加权和改进灰色关联度的TOPSIS模型进行评价和预测。研究结果表明:①2024—2030年预测期内,三大流域的总承载力均呈现明显的上升趋势,到2030年均达到弱可承受水平(C > 0.5);同年4个发展情景的承载力大小排序为:S3 >; S4 > S1 > S2。(2)水资源子系统承载力总体呈下降趋势。未来,黑河流域和疏勒河流域将处于严重超载状态。重点从总用水量、农田灌溉用水、污水处理等方面进行治理。(3) S3情景在工业、农业和生活用水等多个领域取得了显著效果,显著降低了总用水量。相比之下,S2情景虽然有助于提高GDP,促进经济增长,但也会增加总用水量,不利于水资源的集约和节约利用。因此,S3情景是实现水资源可持续利用的最佳方案。研究结果可为河西内陆河流域及其他类似流域水资源可持续发展提供科学依据。
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引用次数: 0
National watershed health diagnosis: A pressure-state-response assessment of Iran's 3rd-order watersheds 国家流域健康诊断:伊朗三级流域的压力-状态-反应评估
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-02-01 DOI: 10.1016/j.ecolind.2025.114572
Seyed Hamidreza Sadeghi , Negin Behnia , Reza Chamani , Vahid Moosavi , Ali Nasiri Khiavi , Mohammad Hossein Shoushtari , Hamid Nouri , Padidehsadat Sadeghi , Mahin Kalehouei , Sudabeh Gharemahmudli , Mohammd Tavosi , Mostafa Zabihi Silabi , Abdulvahed Khaledi Darvishan , Mehdi Vafakhah , Hamidreza Moradi Rekabdarkolaei
Watershed health has yet to be considered across scales, particularly at the national level, for effective resource management. However, such an important endeavor is lacking for degrading environments worldwide at high resolution. This study, therefore, addresses the research gap in national-scale watershed health (WH) and ecological security (ES) assessments for 640 3rd-order watersheds (approximately 253,521.4 ± 226,998.4 ha) in Iran. Following the Pressure-State-Response (PSR) framework, 527 nationwide, up-to-date, and accessible variables were initially selected. These were subsequently reduced to 111 non-collinear predictors using the Variance Inflation Factor (VIF) method. The methodology integrated geospatial, climatic, hydrological, and anthropogenic data across Iran's watersheds. The results of compiling different determinants and performing time-consuming, tedious calculations reported means of 0.47 ± 0.02 and 0.25 ± 0.05 for WH and ES across Iran, respectively. Crucially, WH disproportionately depends on institutional responses (64.36 %), overshadowing entrenched pressures (20.32 %) and critically fragile ecological states (15.32 %). The findings indicate that most watersheds in Iran exhibit moderate WH but are trending toward degradation, reflecting increasing environmental pressure and declining ES. The analysis highlights that climatic and anthropogenic factors, particularly rising temperatures, land-use changes, and hydrological disturbances, are the primary drivers of this decline. Widespread degradation underscores the urgent need for integrated watershed management, nature-based measures, climate-adaptive strategies, and transformative governance to mitigate the decline in WH and ES in Iran.
为了有效地管理资源,还需要跨尺度、特别是在国家一级考虑流域健康问题。然而,对于世界范围内的高分辨率退化环境,缺乏这样的重要努力。因此,本研究弥补了伊朗640个三级流域(约253,521.4±226,998.4公顷)在全国范围内流域健康(WH)和生态安全(ES)评估方面的研究空白。根据压力-状态-响应(PSR)框架,最初选择了527个全国性的、最新的、可访问的变量。随后使用方差膨胀因子(VIF)方法将这些减少到111个非共线性预测因子。该方法综合了伊朗流域的地理空间、气候、水文和人为数据。编译不同的决定因素并进行耗时、繁琐的计算的结果显示,伊朗各地WH和ES的平均值分别为0.47±0.02和0.25±0.05。至关重要的是,WH不成比例地依赖于制度反应(64.36%),掩盖了根深蒂固的压力(20.32%)和极度脆弱的生态状态(15.32%)。研究结果表明,伊朗大多数流域表现出适度的生态承载力,但有退化的趋势,反映了环境压力的增加和生态承载力的下降。分析强调,气候和人为因素,特别是气温上升、土地利用变化和水文干扰,是这种下降的主要驱动因素。广泛的退化突出表明,迫切需要采取综合流域管理、基于自然的措施、气候适应战略和变革性治理,以减缓伊朗湿地和生态系统的下降。
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引用次数: 0
Contrasting responses of carbon fluxes to hydrothermal drivers in dry grassland and wet meadow ecosystems of the temperate steppe 温带草原干草地和湿草甸生态系统碳通量对热液驱动因素的响应对比
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-02-01 DOI: 10.1016/j.ecolind.2026.114662
Jiakang Fu , Yixuan Wang , Tingxi Liu , Limin Duan , Guixin Zhang , Jianguo Ji , Jianwei Liu
This study focused on dry grassland and wet meadow ecosystems, two dominant ecosystem types within the temperate steppe. CO2 flux dynamics and key hydrothermal drivers were comparatively analyzed using eddy covariance observations, with a view to revealing their threshold effects and lag responses. Results revealed that the wet meadow ecosystem (WME) acted as a significantly stronger CO2 sink with greater flux variability compared to the dry grassland ecosystem (DGE). While both ecosystems shared similar seasonal trends, they operated under fundamentally different regulatory mechanisms. In the DGE, net ecosystem exchange (NEE) was primarily regulated by latent heat flux (LE) and net radiation (Rn), leading to the system being energy-limited and prone to saturation. Net CO₂ uptake increased rapidly only under low-energy conditions, but a clear physiological saturation threshold was identified (LE > 74.7 W m−2 and Rn > 146.8 W m−2), suggesting that limited soil moisture restricted the ability of DGE to utilize excess energy for photosynthesis. In contrast, the WME, benefiting from abundant soil moisture, experienced a continuous intensification of net CO₂ uptake with increasing LE, Rn, and VPD. This response pattern successfully surpassed the energy saturation limits observed in the DGE. Nevertheless, a hydraulic limitation mechanism emerged under extreme atmospheric dryness, where CO₂ uptake plateaued when VPD exceeded 39.50 hPa, indicating stomatal closure to prevent water loss. At the diurnal scale, CO₂ fluxes closely tracked energy-related drivers, showing minimal lag effects. In the DGE, lag relationships with hydrothermal factors remained stable throughout the growing season, while they fluctuated significantly in the WME, particularly with soil temperature and VPD. These results offer key insights for assessing CO₂ sink potential and inform ecosystem conservation strategies.
本研究以温带草原的两种主要生态系统类型干草地和湿草甸为研究对象。利用涡动相关观测对比分析了CO2通量动力学和关键热液驱动因素,揭示了它们的阈值效应和滞后响应。结果表明,湿草甸生态系统(WME)的CO2汇能力显著强于干草地生态系统(DGE),且通量变异较大。虽然这两个生态系统具有相似的季节性趋势,但它们在根本不同的监管机制下运作。在DGE中,净生态系统交换(NEE)主要受潜热通量(LE)和净辐射(Rn)的调节,导致系统能量有限,容易饱和。净CO₂吸收量仅在低能量条件下快速增加,但确定了明确的生理饱和阈值(LE >; 74.7 W m−2和Rn >; 146.8 W m−2),表明有限的土壤水分限制了DGE利用多余能量进行光合作用的能力。相比之下,WME得益于丰富的土壤水分,随着LE、Rn和VPD的增加,净CO₂吸收量持续增强。这种响应模式成功地超越了DGE中观察到的能量饱和极限。然而,在极端干燥的大气条件下,出现了水力限制机制,当VPD超过39.50 hPa时,CO 2吸收趋于稳定,表明气孔关闭以防止水分流失。在日尺度上,CO₂通量密切跟踪与能源相关的驱动因素,显示出最小的滞后效应。在DGE中,与热液因子的滞后关系在整个生长季节保持稳定,而在WME中,与土壤温度和VPD的滞后关系波动较大。这些结果为评估CO₂汇潜力和生态系统保护策略提供了关键见解。
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引用次数: 0
Soil properties rather than climate dominate the variation of leaf trait network structure in desert ecosystems: a case study from the Hexi Corridor, Northwestern China 荒漠生态系统叶片性状网络结构变化的主导因素是土壤性质而非气候——以河西走廊为例
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-02-01 DOI: 10.1016/j.ecolind.2026.114644
Shanjia Li , Xinyi Zhou , Lidong Lu , Zhaoxiang Zhang , James F. White , Haifeng Liu , Yingxiang Miao , Lu Yang , Bin Du , Zhikang Wang
Leaf trait networks (LTNs) can reveal complex relationships among multiple traits, and their topological structure reflects plant adaptation to the environment. However, the main environmental drivers and underlying mechanisms of spatial variation in LTN structure remain insufficiently studied, particularly in desert ecosystems. To this end, this study selected 15 typical desert sites along the southeast to northwest of the Hexi Corridor, constructed LTNs based on 20 leaf functional traits, and used geography, climate, soil, and plant diversity as environmental factors to assess their relationships with the network structure. The results showed that LTN structure varied greatly among sites, exhibiting significant spatial heterogeneity. Moreover, for different plant life forms, the network topology of herbaceous species was more tightly connected than that of shrubs, suggesting that herbs rely more on multi-trait coordination to improve resource-use efficiency. Among all environmental factors, soil properties had the greatest influence on LTN variation, with higher soil nutrients significantly enhancing network connectivity and complexity, while geographic and climatic factors had weaker direct effects. Partial least squares path modeling further revealed that soil properties had significant direct effects on LTN structure, whereas climate and geography influenced it indirectly through plant diversity. This study highlights the key role of soil properties in regulating LTNs in desert ecosystems and provides insights into how multi-trait trade-offs are reshaped and optimized in resource-heterogeneous communities.
叶片性状网络能够揭示多个性状之间的复杂关系,其拓扑结构反映了植物对环境的适应性。然而,对LTN结构空间变化的主要环境驱动因素和潜在机制的研究仍然不够充分,特别是在沙漠生态系统中。为此,本研究选取河西走廊东南至西北15个典型荒漠样地,基于20个叶片功能性状构建ltn,并以地理、气候、土壤和植物多样性为环境因子,评价其与网络结构的关系。结果表明:不同立地间LTN结构差异较大,表现出明显的空间异质性。此外,在不同的植物生命形式中,草本物种的网络拓扑结构比灌木更紧密,表明草本物种更多地依靠多性状协调来提高资源利用效率。在所有环境因子中,土壤性质对LTN变化的影响最大,土壤养分的增加显著增强了网络的连通性和复杂性,而地理和气候因子的直接影响较弱。偏最小二乘路径模型进一步揭示了土壤性质对LTN结构的直接影响,而气候和地理通过植物多样性间接影响LTN结构。该研究强调了土壤特性在调节荒漠生态系统ltn中的关键作用,并为资源异质群落中多性状权衡如何重塑和优化提供了见解。
{"title":"Soil properties rather than climate dominate the variation of leaf trait network structure in desert ecosystems: a case study from the Hexi Corridor, Northwestern China","authors":"Shanjia Li ,&nbsp;Xinyi Zhou ,&nbsp;Lidong Lu ,&nbsp;Zhaoxiang Zhang ,&nbsp;James F. White ,&nbsp;Haifeng Liu ,&nbsp;Yingxiang Miao ,&nbsp;Lu Yang ,&nbsp;Bin Du ,&nbsp;Zhikang Wang","doi":"10.1016/j.ecolind.2026.114644","DOIUrl":"10.1016/j.ecolind.2026.114644","url":null,"abstract":"<div><div>Leaf trait networks (LTNs) can reveal complex relationships among multiple traits, and their topological structure reflects plant adaptation to the environment. However, the main environmental drivers and underlying mechanisms of spatial variation in LTN structure remain insufficiently studied, particularly in desert ecosystems. To this end, this study selected 15 typical desert sites along the southeast to northwest of the Hexi Corridor, constructed LTNs based on 20 leaf functional traits, and used geography, climate, soil, and plant diversity as environmental factors to assess their relationships with the network structure. The results showed that LTN structure varied greatly among sites, exhibiting significant spatial heterogeneity. Moreover, for different plant life forms, the network topology of herbaceous species was more tightly connected than that of shrubs, suggesting that herbs rely more on multi-trait coordination to improve resource-use efficiency. Among all environmental factors, soil properties had the greatest influence on LTN variation, with higher soil nutrients significantly enhancing network connectivity and complexity, while geographic and climatic factors had weaker direct effects. Partial least squares path modeling further revealed that soil properties had significant direct effects on LTN structure, whereas climate and geography influenced it indirectly through plant diversity. This study highlights the key role of soil properties in regulating LTNs in desert ecosystems and provides insights into how multi-trait trade-offs are reshaped and optimized in resource-heterogeneous communities.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"183 ","pages":"Article 114644"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Semi-natural habitats enhance bird diversity in intensively managed farmlands in North China 在华北集约化管理的农田中,半自然生境增强了鸟类多样性
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-02-01 DOI: 10.1016/j.ecolind.2026.114666
Hongyan Zheng , Noëlle Klein , Lili Wang , Sonja Kay , Felix Herzog , Rongguang Shi , Rongle Liu , Jan Bogaert
Agricultural intensification has caused substantial biodiversity loss in farmland worldwide. Although China's farmland accounts for a significant proportion globally, knowledge about farmland heterogeneity and biodiversity remains limited. We examined how semi-natural habitats and habitat heterogeneity affect bird diversity in the intensively managed, low-crop-diversity (wheat–maize rotation) farmland of Qihe County, Shandong Province, China. We applied a multi-scale approach that included patch-scale and transect-scale analyses at both local (100 m buffer) and broader local (200 m buffer) scales across 20 transects, with habitat data classified into eight types: cropland, woody vegetation, herbaceous vegetation, reed, bare ground, tomb (small, earthen mounds with spontaneous vegetation), water, and artificial infrastructure. Bird richness and abundance were recorded within 100 m on either side of each 500 m transect. At the patch scale, Semi-natural habitats—particularly tombs, woody vegetation, and reeds—supported higher bird richness and abundance. At both local and broader local scales, semi-natural habitats positively influenced bird richness, but their positive effect on abundance occurred only at the local scale; woody vegetation, herbaceous, and reed were most important locally, while at the broader scale, richness was mainly associated with woody vegetation, herbaceous, and bare ground. Habitat diversity (SHDI) positively affected species richness, edge density (ED) of semi-natural habitat had a positive effect on bird abundance, and mean patch size showed limited effects. These results indicate that biodiversity in intensively farmed landscapes can be enhanced through the management of semi-natural habitats and habitat heterogeneity, highlighting the importance of maintaining these habitats and improving landscape connectivity.
农业集约化造成了世界范围内农田生物多样性的大量丧失。尽管中国的耕地占全球的很大比例,但对耕地异质性和生物多样性的认识仍然有限。研究了山东省齐河县集约管理、低作物多样性(小麦-玉米轮作)农田半自然生境和生境异质性对鸟类多样性的影响。我们采用了多尺度方法,包括在20个样带的局部(100米缓冲带)和更广泛的局部(200米缓冲带)尺度上进行斑块尺度和样带尺度的分析,并将栖息地数据分为8种类型:农田、木本植被、草本植被、芦苇、裸地、墓葬(自发植被的小土丘)、水和人工基础设施。在每500 m样带两侧各100 m范围内记录鸟类丰富度和丰度。在斑块尺度上,半自然栖息地——尤其是坟墓、木本植被和芦苇——支持更高的鸟类丰富度和丰度。在局部和更广泛的局部尺度上,半自然生境对鸟类丰富度都有积极影响,但它们对鸟类丰富度的积极影响仅发生在局部尺度上;在局部以木本植被、草本植被和芦苇为主,而在更大尺度上,丰富度主要与木本植被、草本植被和裸地相关。生境多样性(SHDI)对物种丰富度有正向影响,边缘密度(ED)对鸟类丰富度有正向影响,平均斑块大小影响有限。这些结果表明,集约农业景观的生物多样性可以通过半自然生境和生境异质性的管理来增强,强调了维持这些生境和改善景观连通性的重要性。
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引用次数: 0
Tracking biodiversity footprints embodied in the global supply chains of agricultural commodities: the examples of Germany and China 追踪农产品全球供应链中体现的生物多样性足迹:以德国和中国为例
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-02-01 DOI: 10.1016/j.ecolind.2026.114663
Giorgio A. Bidoglio , Abhishek Chaudhary , Stefan Dullinger , Karl-Heinz Erb , Franz Essl , Fridolin Krausmann , Sarah Matej , Philipp Semenchuk , Thomas Kastner , Florian Schwarzmüller
As the world's globalized economies become more and more interconnected, agricultural production and its associated environmental impacts are increasingly driven by consumption in geographically distant places. This is a challenge when it comes to building more sustainable modes of consumption and developing accounting principles of environmental impacts. In this study, we quantified the land-use driven biodiversity loss embodied in the food consumption, i.e. the biodiversity footprints of Germany and China, two major economies relying greatly on the trade of agricultural products. We developed a spatially explicit and product specific database which combines a recently updated countryside species-area relationship (cSAR) model at a resolution of 10 × 10 km with spatial information on global land use and crop production to estimate the impending vertebrate species loss at the level of single grid cells (landscape level) and potential global species extinctions (global level). These complementary indicators reflect different ecological processes that influence patterns of species diversity, acting at different scales. By integrating the indicators into a dataset in global food trade and consumption data, we show that, despite large quantities of imports, for China's biodiversity footprint occurs largely domestically. For Germany the footprint is mostly (landscape level) to almost entirely (global level) driven by imports. These differences reflect different supply chains and sourcing countries, but also point at differences in the global distribution of species richness, endemism and IUCN threat level. We found that few key commodities like cocoa, coffee, soybeans and products of livestock grazing contribute the most to the biodiversity footprints of both countries. Our results emphasize the need of multiple, complementary and spatial indicators of biodiversity impacts at landscape and global level to better track and quantify consumption-driven biodiversity loss across products, sourcing countries and taxa.
随着世界上全球化的经济日益相互联系,农业生产及其相关的环境影响越来越多地受到地理上遥远地方消费的驱动。当涉及到建立更可持续的消费模式和制定环境影响的会计原则时,这是一个挑战。在本研究中,我们量化了土地利用驱动的生物多样性损失,体现在食物消费中,即德国和中国这两个主要依赖农产品贸易的经济体的生物多样性足迹。基于10 × 10 km分辨率的最新农村物种-面积关系(cSAR)模型,结合全球土地利用和作物生产的空间信息,开发了一个空间明确的产品特定数据库,以估算单个网格细胞(景观水平)水平上即将发生的脊椎动物物种损失和潜在的全球物种灭绝(全球水平)。这些互补的指标反映了在不同尺度上影响物种多样性模式的不同生态过程。通过将这些指标整合到全球食品贸易和消费数据集中,我们发现,尽管大量进口,但中国的生物多样性足迹主要发生在国内。对德国来说,碳足迹主要(景观层面)到几乎全部(全球层面)都是由进口驱动的。这些差异反映了不同的供应链和采购国,但也指出了物种丰富度、地方性和世界自然保护联盟威胁程度的全球分布差异。我们发现,可可、咖啡、大豆和畜牧产品等少数关键商品对两国的生物多样性足迹贡献最大。我们的研究结果强调,需要在景观和全球层面建立生物多样性影响的多重、互补和空间指标,以更好地跟踪和量化不同产品、来源国和分类群之间消费驱动的生物多样性损失。
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引用次数: 0
Improving predictions of soil heterotrophic respiration: A parameter-optimized microbial model for alpine meadows in the three-river source region, Qinghai-Tibet plateau 改进土壤异养呼吸预测:青藏高原三江源高寒草甸微生物模型参数优化
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-02-01 DOI: 10.1016/j.ecolind.2026.114673
Yongkang Lu , Sheng Yu , Mingxue Xiang , Kai Zheng , Tao Ma , Zhaoqi Wang
As a critical pathway in soil organic carbon release, soil heterotrophic respiration (Rh) has simulation accuracy that impacts regional and global carbon cycle assessments. As a climate change hotspot, the Three Rivers Source Region (TRSR) exhibits considerable uncertainties in Rh modeling, constraining in-depth research on regional carbon cycles. In this study, the MIcrobial-MIneral Carbon Stabilization (MIMICS) microbial model with an added moisture effect function is used for modeling Rh of alpine meadow in the TRSR. To initialize the model and optimize its parameters, we utilized four years of field-measured data from three sites (Maqin, Tongde, and Chenduo), including Rh, soil temperature, soil moisture, soil organic carbon, and microbial biomass carbon. Our results determine a set of generalized carbon pool parameters suitable for alpine meadow ecosystems across the study region. After selecting and optimizing high-sensitivity parameters, the model's simulation performance for soil Rh improved significantly, with R2 remaining above 0.7 and the relative root mean square error (RRMSE) controlled within 11%–14%. Furthermore, relative to the original MIMICS model, integrating the moisture effect function increased the model's R2 by 0.19–0.30. This study represents the attempt to refine the MIMICS model for Rh regulation, which not only provides a more accurate tool for simulating the carbon cycle of alpine meadow in the TRSR but also offers new insights into the coupling mechanisms between microbial models and environmental drivers.
土壤异养呼吸(Rh)作为土壤有机碳释放的重要途径,其模拟精度影响着区域和全球的碳循环评估。作为气候变化热点地区,三江源区Rh模型存在较大的不确定性,制约了区域碳循环的深入研究。本研究采用添加水分效应函数的微生物-矿物碳稳定(MIMICS)微生物模型对TRSR高寒草甸的Rh进行建模。为了对模型进行初始化和参数优化,我们利用了马琴、同德和陈铎3个站点4年的土壤湿度、土壤温度、土壤有机碳和微生物生物量碳等野外实测数据。我们的研究结果确定了一套适用于整个研究区高寒草甸生态系统的广义碳库参数。选择并优化高灵敏度参数后,模型对土壤Rh的模拟性能显著提高,R2保持在0.7以上,相对均方根误差(RRMSE)控制在11% ~ 14%之间。此外,与原始MIMICS模型相比,整合水分效应函数使模型的R2提高了0.19-0.30。本研究对MIMICS模型进行了完善,不仅为模拟TRSR高寒草甸碳循环提供了更准确的工具,而且为微生物模型与环境驱动因素之间的耦合机制提供了新的见解。
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引用次数: 0
Developing integrated ecological indicators for hydropower efficiency: a centralized DEA approach incorporating water resource reallocation and nonseparable variables 开发水电效率综合生态指标:一种包含水资源再分配和不可分离变量的集中式DEA方法
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-02-01 DOI: 10.1016/j.ecolind.2026.114650
Li-Ting Yeh
Effective water reallocation is essential for sustaining performance in centralized hydroelectric systems under increasing climate variability. However, most prior DEA-based assessments emphasize plant-level efficiency and assume separable inputs and outputs, which limits their value for system-wide water–energy planning under centralized governance. To address this gap, this study develops a centralized data envelopment analysis (DEA) model. The model constructs integrated ecological indicators that treat water inputs and electricity outputs as nonseparable. The unique contribution of this framework lies in its ability to capture the joint production of water and energy. It provides system-level indicators that link seasonal water reallocation strategies to electricity generation performance. The model supports water resource reallocation planning by maximizing system-wide water–energy efficiency under centralized management. It is applied to 23 hydroelectric systems in Taiwan across three seasonal scenarios—wet, dry, and annual—to evaluate spatial and temporal efficiency adjustments. The results show that optimal water reallocation increases electricity output by 1.83% during the wet season and limits output losses to 4.12% during the dry season. Over the full year, the model improves overall system efficiency, reducing total discharge volume by 1.05% and increasing effective storage by 3.13%. These findings show that indicator-based evaluation can support centralized water–energy planning across seasons. The resulting indicators are intended to inform ecological resource management, including seasonal storage–release balance and scenario-based downstream-release considerations.
在气候变化日益加剧的情况下,有效的水资源再分配对于保持集中式水力发电系统的运行至关重要。然而,大多数先前基于dea的评估强调工厂层面的效率,并假设投入和产出是可分离的,这限制了它们在集中治理下的全系统水能规划的价值。为了解决这一差距,本研究开发了一个集中式数据包络分析(DEA)模型。该模型构建了将水投入和电产出视为不可分离的综合生态指标。这一框架的独特贡献在于它能够捕获水和能源的联合生产。它提供了将季节性水再分配战略与发电性能联系起来的系统级指标。该模型通过在集中管理下最大化全系统的水-能源效率来支持水资源再分配规划。本研究以台湾23个水力发电系统为研究对象,分湿、干、年三个季节,评估其时空效率调整。结果表明,优化后的调水方案使旱季发电量提高1.83%,旱季发电量损失控制在4.12%。全年来看,该模型提高了系统整体效率,总放水量减少了1.05%,有效库存量增加了3.13%。这些发现表明,基于指标的评价可以支持跨季节的集中水能规划。结果指标旨在为生态资源管理提供信息,包括季节性储放平衡和基于场景的下游释放考虑。
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引用次数: 0
Internal phosphorus loading drives long-term eutrophication trends and short-term deviations in a shallow hypertrophic lake 内部磷负荷驱动浅富营养化湖泊长期富营养化趋势和短期偏差
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-02-01 DOI: 10.1016/j.ecolind.2026.114657
Olga Tammeorg , Gertrud Nürnberg , Theis Kragh , Jussi Vesterinen , Veli-Pekka Salonen , Peeter Nõges , Priit Tammeorg
Enäjärvi is one of the numerous lakes that have experienced increasing blooms of cyanobacteria. We hypothesized that the cause includes an increasing role of internal phosphorus (P) loading. Using a long-term data series (1997–2024), we quantified the internal P load as ILin situ (based on an increase in TP mass in the water column over summer), and analysed its annual variation and potential causal mechanisms. For mechanistic insights, we measured the redox potential and sediment characteristics, and computed sediment P release rates (by diffusion) at three sampling sites in June, August and October 2024. Finally, we conducted a hydroacoustic survey to support the spatial resolution of the studies on sediment P dynamics. The internal P load increased over the years from 1997 to 2024 and correlated with the chlorophyll a concentration, water transparency (Secchi), and the cyanobacterial biomass and its proportion of the phytoplankton biomass. The increase in the internal P load was primarily attributed to an increase in the anoxic area factor (a measure of anoxia), and additionally to a decrease in the water level. Our short-term studies confirmed a governing role of redox-related P release through the observation of 1) (anoxic) P-releasing sediment surfaces during summer and 2) a significant positive relationship between the sediment P release rate and the concentration of iron-bound P. In general, the sediment organic matter content has increased in the long term together with an increase in the internal P load and eutrophication. In addition, the pool of sediment P has remained high over the long term, suggesting that previous restoration measures have been ineffective in reducing the internal P load. The hydroacoustic survey revealed a good representativeness (approximately 82%) of the lake sediment characteristics by the three sites sampled in the current study. Consequently, measures to reduce the legacy P input are needed to combat the eutrophication trend with ongoing climate change in Enäjärvi, as in other similar shallow lakes.
Enäjärvi是众多湖泊之一,经历了越来越多的蓝藻繁殖。我们推测其原因包括体内磷(P)负荷的增加。利用1997-2024年的长期数据序列,我们将内部磷负荷量化为原位(基于夏季水柱中总磷质量的增加),并分析了其年变化和潜在的因果机制。为了深入了解机理,我们于2024年6月、8月和10月在三个采样点测量了氧化还原电位和沉积物特征,并计算了沉积物P的释放速率(通过扩散)。最后,我们进行了水声调查,以支持沉积物P动力学研究的空间分辨率。1997 ~ 2024年,水体内磷负荷呈增加趋势,且与叶绿素a浓度、水体透明度(Secchi)、蓝藻生物量及其占浮游植物生物量的比例相关。内部磷负荷的增加主要是由于缺氧面积因子(一种衡量缺氧程度的指标)的增加,另外是由于水位的下降。我们的短期研究通过观察1)夏季(缺氧)P释放沉积物表面,2)沉积物P释放速率与铁结合P浓度之间的显著正相关关系,证实了氧化还原相关P释放的调控作用。总的来说,沉积物有机质含量在长期内增加,内部P负荷增加,富营养化。此外,沉积物P池长期保持较高水平,表明以往的修复措施对降低内部P负荷无效。水声调查结果显示,本研究中三个采样点的湖泊沉积物特征具有良好的代表性(约82%)。因此,需要采取措施减少遗留磷输入,以对抗Enäjärvi和其他类似浅湖随着持续气候变化而出现的富营养化趋势。
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引用次数: 0
Spatially explicit modeling and scenario-based projections of LULC-driven carbon stock changes in Japan 日本lulc驱动的碳储量变化的空间显式建模和情景预测
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2026-02-01 DOI: 10.1016/j.ecolind.2026.114646
Bailing Zhang , Jing Kang , Norihiro Itsubo
Understanding the spatial and temporal dynamics of terrestrial ecosystem carbon stock is essential for effective climate mitigation and land management. This study presents a spatially explicit modeling approach to estimate historical and project future carbon stock changes across Japan from 2001 to 2050. Future projections were generated under three alternative land-use scenarios, including Business-as-Usual (BAU), Conservation, and High-Development pathways. Annual land use/land cover (LULC) maps were combined with class-specific carbon density parameters to calculate grid-level carbon stocks. Intertemporal differences in carbon stocks were computed at the pixel scale, enabling the identification of spatially heterogeneous carbon gains and losses. Future land transitions and carbon trajectories were projected using a CA-Markov model calibrated on observed LULC changes. Across all scenarios, total national carbon stock remains relatively stable, with changes of less than 3%; however, pronounced spatial disparities persist. Southwestern regions, particularly Kyushu and Shikoku, exhibit consistent carbon gains, whereas northeastern prefectures and northern Hokkaido show persistent declines. Forest loss accounts for approximately 8–9% of the total forest area and is overwhelmingly dominated by transitions to grass–savanna systems (>92%), while direct conversion to urban land remains negligible (≤0.15%). This indicates that the predominant contributors to forest carbon change are low-intensity land-cover transitions, and that carbon losses associated with direct urban expansion are highly limited in Japan.
了解陆地生态系统碳储量的时空动态对有效减缓气候变化和土地管理至关重要。本研究提出了一种空间显式建模方法来估计日本2001 - 2050年的历史和未来碳储量变化。未来的预测是在三种不同的土地利用情景下得出的,包括“一切照旧”、“保护”和“高度发展”路径。将土地利用/土地覆盖(LULC)年图与类别碳密度参数相结合,计算栅格级碳储量。在像素尺度上计算碳储量的跨期差异,从而能够识别空间异质性的碳收益和损失。使用CA-Markov模型对观测到的LULC变化进行校准,预测了未来的土地过渡和碳轨迹。在所有情景下,全国碳储量总量保持相对稳定,变化幅度小于3%;然而,明显的空间差异仍然存在。西南地区,特别是九州和四国,碳排放持续增加,而东北地区和北海道北部则持续下降。森林损失约占森林总面积的8-9%,绝大多数是向草木稀树草原系统的过渡(>92%),而直接转化为城市土地仍然可以忽略不计(≤0.15%)。这表明,森林碳变化的主要贡献者是低强度的土地覆盖过渡,而与直接城市扩张相关的碳损失在日本非常有限。
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Ecological Indicators
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