Ecological Indicators最新文献

{"title":"A Priority conservation strategy based on a multi-scale perspective of ecosystem services: a case study of the taihang mountains, china","authors":"Linghui Guo ,&nbsp;Muchao Xu ,&nbsp;Yang Zhang ,&nbsp;Jingjing Yan ,&nbsp;Jiangbo Gao ,&nbsp;Hebing Zhang ,&nbsp;Youfeng Zou ,&nbsp;Yang Hu","doi":"10.1016/j.ecolind.2026.114721","DOIUrl":"10.1016/j.ecolind.2026.114721","url":null,"abstract":"<div><div>Ecosystem service (ES) is widely recognized as a valuable perspective for ecosystem management and policymaking. However, where priority protection should be applied and how to incorporate ecosystem services into targeted management decisions remain unclear. In this case study of the Taihang Mountains, we first quantified changes in five ESs and their interactions across three spatial scales from 2000 to 2020 using geographically weighted regression, self-organizing mapping and partial correlation analysis. By integrating the ordered weighted averaging algorithm with ES relationships, we then identified priority conservation areas and provided precise planning and management strategies. The results showed that the spatial patterns of the five ESs remained largely consistent over time, but their high-value areas increased by 2.71 times on average across the three scales after 2010. Six ES pairs consistently demonstrated synergies while ES pairs related to food production generally presented trade-offs at the grid scale, with these relationships shifting more in intensity and less in direction as the scale increased. Priority conservation areas with protection efficiencies for water yield, soil conservation, habitat quality, net primary productivity, and food production of 1.64, 1.42, 1.32, 1.14, and 1.37, respectively and practical spatial planning and management strategies were proposed to realize the maximum value of multiple ESs. Our findings provide a novel framework for priority conservation strategies aimed at promoting targeted ecosystem management.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"184 ","pages":"Article 114721"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147407896","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}

{"title":"Dual-zone framework for ecosystem service governance: linking functional gradients and ecosystem services bundles along an urbanization gradient","authors":"Xin Li,&nbsp;Xinjie Liu,&nbsp;Leping Liu,&nbsp;Pengfei Sun,&nbsp;Jiajing Li,&nbsp;Xiaoqian Li,&nbsp;Zhi Dong,&nbsp;Xinchuang Chen","doi":"10.1016/j.ecolind.2026.114707","DOIUrl":"10.1016/j.ecolind.2026.114707","url":null,"abstract":"<div><div>Urbanization reshapes interactions among ecosystem services (<em>ES</em>), making it necessary to clarify how urbanization gradients, ecological mechanisms, together with nonlinear driver responses, jointly regulate <em>ES</em> dynamics to support ecological zoning management, especially in mountainous and hilly regions. Focusing on the central-south Shandong hilly region, we delineated developed (<em>E</em>), developing (<em>I</em>), and rural (<em>R</em>) zones through multidimensional clustering, quantified six major <em>ES</em>, and examined their trade-offs, synergies, and nonlinear drivers using Geographically Weighted Regression and <em>XGBoost-SHAP. ES</em> bundles were further identified using a Self-Organizing Map, and a dual-zone framework was established by integrating urban functional zones and <em>ES</em> bundles, with spatially explicit driver threshold characteristics used to support interpretation and management diagnosis. Results reveal a distinct <em>R</em> &gt; <em>I</em> &gt; <em>E</em> gradient in <em>ES</em> supply and increasing spatial heterogeneity toward urban cores. <em>ES</em> interactions shift from synergy-dominated in <em>E</em> to increasingly complex trade-offs in <em>I</em> and <em>R</em>, with water conservation‑carbon storage being the most urbanization-sensitive pair. Driver regimes differ across zones: socioeconomic factors dominate in <em>E</em>, natural-anthropogenic interactions in <em>I</em>, and biophysical constraints in <em>R</em>. Key nonlinear thresholds include forest cover &gt;10%, temperature ranging from 14 to 14.7 °C, and precipitation &gt;900 mm. Linking these nonlinear response characteristics with <em>ES</em> bundles and functional zones enables precise identification of sensitive areas, providing a scientifically grounded pathway for differentiated and zone-specific <em>ES</em> management in urbanizing mountainous regions.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"184 ","pages":"Article 114707"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147408457","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}

{"title":"Model-based validation of observational data: The OSPAR North Sea eutrophication assessment as a test case","authors":"Morten D. Skogen ,&nbsp;Johanna M. Aarflot ,&nbsp;Solfrid Sætre Hjøllo ,&nbsp;Sonja M. van Leeuwen","doi":"10.1016/j.ecolind.2026.114720","DOIUrl":"10.1016/j.ecolind.2026.114720","url":null,"abstract":"<div><div>Monitoring of marine ecosystems is essential for assessing environmental conditions and informing policy decisions. Observational data, while critical, are often spatially and temporally limited, and improper extrapolation might lead to potential biases. Therefore, <em>in situ</em> observations should be validated before use. This need for validation is demonstrated in the present work, where a Marine Mechanistic Ecosystem Model is used to validate the representativeness of the OSPAR North Sea COMP4 winter nutrient observational data set used for the assessment of eutrophication state. By comparing <em>in situ</em> measurements with high-resolution data generated by the model, we assess the confidence in the observational data and explore the sensitivity of the resulting classification of the nutrient status to different sampling strategies. The results highlight the need for proper validation of the observational data, as the confidence of the final assessment strongly depends on the sampling model. Furthermore, sensitivity analysis reveals that the timing of sampling can substantially impact the eutrophication status assessment, and that the current monitoring strategies may not fully capture ecosystem dynamics, highlighting the need for optimized sampling models. Given the increasing budget constraints on monitoring programs, the combined use of ecosystem models and <em>in situ</em> observations can improve the reliability of marine environmental assessments.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"184 ","pages":"Article 114720"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147408459","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}

{"title":"Urban carbon emissions and sequestration in Beijing, China (2000−2020): A spatiotemporal analysis using the carbon balance index","authors":"Kai Zhou ,&nbsp;Shoubang Huang ,&nbsp;Chutong Chao ,&nbsp;Hao Yin ,&nbsp;Xi Zheng","doi":"10.1016/j.ecolind.2026.114699","DOIUrl":"10.1016/j.ecolind.2026.114699","url":null,"abstract":"<div><div>Cities are pivotal regulators of the global carbon cycle, yet the fine-scale balance between urban carbon emissions and sequestration remains poorly quantified. Here, we conduct a high-resolution spatiotemporal assessment of Beijing's carbon balance from 2000 to 2020, integrating emission inventories, ecosystem productivity modeling, and machine-learning–based attribution analyses. Over the period 2000–2020, carbon sequestration increased by 2.34 Mt. C while carbon emissions declined by 11.50 Mt. C. Consequently, the city-wide Carbon Balance Index (CBI) improved by 33.8%, narrowing the carbon deficit from 40.94 Mt. C to 27.10 Mt. C. Four distinct carbon transition pathways were identified, ranging from synergistic mitigation—concentrated in ecological zones—to persistent source-dominated regimes in the urban core. Among all drivers, green coverage ratio emerged as the strongest positive regulator, counteracting the negative effects of urbanization intensity, although diminishing marginal returns were evident in highly dense districts. These results demonstrate that targeted strategies—expanding green infrastructure, enhancing landscape connectivity, and moderating excessive urban density—can substantially buffer carbon losses. The integrative framework and empirical evidence presented here offer transferable insights for rapidly urbanizing cities worldwide seeking to accelerate progress toward carbon neutrality.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"184 ","pages":"Article 114699"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147408451","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}

{"title":"Cladocerans and copepods as bioindicators of aquatic ecosystem health: Ecological roles, anthropogenic stressors and limitations","authors":"Rikhi Kesharee Dehingia ,&nbsp;Pranay Punj Pankaj ,&nbsp;Lakhmi Nandan Kakati ,&nbsp;Jyotchna Gogoi ,&nbsp;Snigdha Chakraborty","doi":"10.1016/j.ecolind.2026.114712","DOIUrl":"10.1016/j.ecolind.2026.114712","url":null,"abstract":"<div><div>Cladocerans and copepods are dominant crustacean zooplankton groups that play central roles in aquatic ecosystem functioning. As primary consumers, they regulate phytoplankton biomass, facilitate nutrient recycling, and transfer energy to higher trophic levels, particularly fish and macroinvertebrates. Owing to their short life cycles, high sensitivity to environmental variability, and measurable population responses, these organisms have been widely used as bioindicators of water quality and ecosystem health. This review synthesizes peer-reviewed literature on the ecological roles of cladocerans and copepods in freshwater and marine systems, examines their responses to major anthropogenic stressors, including pollution, eutrophication, climate change, and habitat modification and evaluates their applicability and limitations as bioindicators. Evidence indicates that changes in abundance, community composition, reproductive traits, and functional diversity of these zooplankton groups often reflect alterations in nutrient status, contaminant exposure, and climatic conditions. However, their use as indicators is constrained by factors such as short generation times, high seasonal variability, and context-dependent responses. By integrating ecological function with indicator performance, this review highlights both the strengths and limitations of cladocerans and copepods for aquatic biomonitoring and emphasizes the need for system-specific, high-frequency monitoring frameworks.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"184 ","pages":"Article 114712"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147408455","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}

{"title":"Contrasting short- and long-term effects of warming and precipitation on ecosystem multifunctionality in a semiarid grassland","authors":"Zhiqiang Wan ,&nbsp;Lingman Dong ,&nbsp;Rui Gu ,&nbsp;Hasbagan Ganjurjav ,&nbsp;Maowei Liang ,&nbsp;Huiying Liu ,&nbsp;Ze Zhang ,&nbsp;Xiling Gu ,&nbsp;Guozheng Hu ,&nbsp;Qingzhu Gao ,&nbsp;Xi Chun ,&nbsp;Haijun Zhou ,&nbsp;Enliang Guo ,&nbsp;Fanhao Meng ,&nbsp;Weiqing Zhang","doi":"10.1016/j.ecolind.2026.114714","DOIUrl":"10.1016/j.ecolind.2026.114714","url":null,"abstract":"<div><div>Ecosystem multifunctionality (EMF) reflects an ecosystem's capacity to sustain multiple functions simultaneously and is highly sensitive to climate change. However, whether short-term EMF responses to climate change reliably predict long-term trends—and whether the underlying mechanisms remain consistent through time—remains unclear. Here, we analyzed 12 ecosystem functions, primarily related to productivity and nutrient cycling, to quantify ecosystem multifunctionality (EMF) in a decade-long warming and increased-precipitation experiment conducted between 2013 and 2024 in a semi-arid grassland in Inner Mongolia, China. We found that short-term increases in precipitation and warming significantly enhanced aboveground multifunctionality (Above-MF), thereby increasing EMF in the context of warming. However, neither treatment produced a marked effect on the belowground multifunctionality (Below-MF) in short- or long-term observations. These results suggest that short-term climate changes do not reliably forecast the long-term impacts of climate change on EMF. Notably, Above-MF exerts greater regulatory influence over EMF during the initial years, whereas the role of Below-MF becomes increasingly prominent over time. Longer experimental durations are important when investigating the regulatory mechanisms governing ecosystem multifunctionality. We identified limitations inherent in extrapolating short-term responses to predict long-term ecosystem outcomes and report an increased influence of abiotic soil functions on ecosystem multifunctionality under prolonged climate change. Short-term EMF responses do not reliably predict outcomes under extended climate manipulation, highlighting a critical temporal dependency in ecosystem responses. Although plants can drive short-term EMF adjustments, soil elements and microbes are more stable and, thus, crucial for sustaining multifunctionality over time. In future research on the impact of climate change on grassland ecosystems, it is necessary to incorporate temporal dynamics and underground processes into climate change prediction models and grassland management measures.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"184 ","pages":"Article 114714"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147407722","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}

{"title":"The decoupling effect and its driving factors of carbon emissions in China's three major urban agglomerations","authors":"Huiping Wang,&nbsp;Shengjie Tan","doi":"10.1016/j.ecolind.2026.114718","DOIUrl":"10.1016/j.ecolind.2026.114718","url":null,"abstract":"<div><div>Achieving decoupling between economic growth and carbon emissions is a core requirement for China to attain its strategic “dual carbon” goals. As the primary spatial entities for economic activities and carbon emissions, urban agglomerations represent a critical battleground in this decoupling process; however, their decoupling pathways may exhibit significant variations due to differing development models. This study takes the three major urban agglomerations in China, namely the Beijing Tianjin Hebei (BTH), the Yangtze River Delta (YRD), and the Guangdong Hong Kong Macao Greater Bay Area (GBA), as research objects. It systematically examines the differentiated characteristics of their carbon decoupling status, green catch-up paths, and driving factors from 2013 to 2022. The findings reveal the following: (1) the decoupling process in the BTH exhibits significant volatility, reflecting a strong policy-driven nature. The decoupling status in the YRD remains generally stable, with weak decoupling maintained during most periods, highlighting its structural advantages as a pioneer in green development. The GBA demonstrates notable external sensitivity and structural resilience, with its path highly reliant on energy efficiency improvements and a service-oriented economic structure. (2) compared to benchmark cities, most cities in the BTH ultimately fall into negative catch-up, reflecting obstacles to green transformation under growth pressure and the vulnerability of surrounding areas. Most cities in the YRD shift from negative catch-up to expansionary catch-up, reflecting regional synergies without relying on high energy consumption for growth. The GBA gradually transitions from early negative catch-up in core cities to expansionary catch-up in most cities and even partial green catch-up in some, indicating a favorable development trend. (3) economic development is the dominant factor driving carbon emission growth, energy intensity serves as the core restraining force and plays a prominent role in the YRD and GBA, while the volatility of energy structure factors reveals that the replacement of clean energy still faces profound challenges</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"184 ","pages":"Article 114718"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147408460","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}

{"title":"Rapidly declining wetland ecosystem service value indicated by land use/land cover changes in the Elephant Marsh, Malawi","authors":"Rodgers Makwinja ,&nbsp;Christopher J. Curtis ,&nbsp;Solomon G. Tesfamichael","doi":"10.1016/j.ecolind.2026.114726","DOIUrl":"10.1016/j.ecolind.2026.114726","url":null,"abstract":"<div><div>Studies on the impact of land use/land cover changes on ecosystem service value (LULCC-ESV) have remained sparse or highly concentrated in specific regions, i.e., Asia, Europe, and North America. In Africa and Latin America, particularly in Ramsar-designated sites, such studies remain historically scarce despite increased exposure of these sites to human activities. This paper applied multi-temporal, high-resolution, and statistical approaches to evaluate i) the spatial-temporal scales of Elephant Marsh LULCC-ESV and ii) the drivers of ESV changes. The main goal is to generate much-needed evidence for real-time decision-making and the enactment of “wise use” principles. The principal findings indicate losses of forest, marshes, shrubland, and area covered by water at annual rates of 205.53 ha, 592.13 ha, 187.66 ha, and 23.43 ha, respectively, during 1998–2022. These land cover types were converted into barren (64.04 ha/yr), cultivated (894.4 ha/yr), and settlement (43 ha/yr). Marshes had the highest ESV in 1998, i.e., US$4.28 billion. However, their ESV declined at an annual rate of 0.87% (declining to US$2.28 billion by 2022). Water, forest, and shrubland experienced annual ESV losses of 0.25%, 1.27%, and 0.94%, respectively. Cultivated and settlement areas gained annual ESV at rates of 0.73% and 0.28%, respectively. Overall, the annual rate of ESV loss due to LULCC was estimated at 0.73% (declining from US$4.40 billion to US$2.54 billion during 1998–2022). Significant (<em>P</em> &lt; 0.01, 0.05, and 0.1) cold and hot spot ESV clusters were observed at several notable sites in the wetland, although some areas also showed no significant (<em>P</em> &gt; 0.01, 0.05, and 0.1) cold or hot spots. Several key factors, including population growth, livestock production, agricultural production, extreme weather events, policy conflicts, and irrigation expansion, significantly contributed to the ESV loss (<em>P</em> &lt; 0.01 or 0.05). From a Ramsar Convention perspective, our findings offer valuable insights into actionable ecological restoration and management of designated arid and semi-arid Sub-Saharan wetlands.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"184 ","pages":"Article 114726"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147408453","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}

{"title":"Governance - pressure inversion and asynchronous recovery in urbanized coastal ecosystems: A spatially explicit DPSIR assessment of Jiaozhou Bay","authors":"Longjiang Han ,&nbsp;Haolun Li ,&nbsp;Wei Zheng ,&nbsp;Dewen Ding ,&nbsp;Honghua Shi","doi":"10.1016/j.ecolind.2026.114723","DOIUrl":"10.1016/j.ecolind.2026.114723","url":null,"abstract":"<div><div>Traditional environmental assessments often treat urbanized bays as homogeneous units, failing to detect localized degradation hotspots. Consequently, semi-enclosed bays remain the frontline of anthropogenic and natural conflicts where cumulative stressors often outpace resilience, a dynamic often hidden from aggregate metrics. To address these complexities, this study established a high-resolution “Drivers-Pressure-State-Impact-Response” (DPSIR) framework comprising 81 comprehensive indicators. A spatially explicit assessment was conducted across five distinct functional zones (e.g., mariculture, shipping, and wetland conservation areas) in Jiaozhou Bay, China, from 2013 to 2022. Quantitative analysis reveals a distinct recovery trajectory: the composite Environmental Quality Index (EQI) escalated by 135% from 0.31 (“Poor”, Class IV) in 2013 to 0.73 (“Moderate/Good”, Class II<span>–</span>III) in 2022, with 2017 identified as the critical inflection point. After 2017, a “Governance–Pressure Inversion” mechanism emerged, where governance intensity (R) structurally surpassed pollution accumulation (P). This phase transition effectively uncoupled economic growth from environmental degradation. However, recovery was not spatially uniform. We identified a distinct “Asynchronous Recovery” phenomenon: hydrodynamic “dead zones” lagged 2–3 years behind well-flushed areas, constrained by sediment memory effects. These findings challenge “one size fits all” governance models. We propose a “Zone-based Adaptive Management” strategy that prioritizes sediment remediation in the inner bay while focusing on risk prevention in port areas, offering a blueprint for sustainable governance in semi-enclosed coastal ecosystems globally.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"184 ","pages":"Article 114723"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147407720","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}

{"title":"Species Climate Indices predict changes in occurrence of some UK invertebrate groups.","authors":"Robin J. Pakeman ,&nbsp;Jenni A. Stockan","doi":"10.1016/j.ecolind.2026.114715","DOIUrl":"10.1016/j.ecolind.2026.114715","url":null,"abstract":"<div><div>Studies of the impacts of climate change on invertebrates have largely been concentrated on large, easy to identify groups such as butterflies, dragonflies and moths. Taking advantage of trend data calculated for a wider set of invertebrate species in the UK, a wider assessment was carried out by evaluating the relationships between both long-term and short-term species trends and Species Climate Indices. Across all invertebrate species there was a positive relationship between both January and July Temperature Indices and both long-term and short-term trends, and a negative relationship between Species Precipitation Index and long-term trends. A subset of species groups showed similar responses, including the first evidence using this approach for differential responses of species within the Hemipteran groups Aquatic bugs, Plant bugs and Shield bugs, Craneflies, the Dipteran groups Fungus gnats, Empididae, Hybotidae &amp; Dolichopodidae and Soldier flies, Millipedes, Spiders (including Araneae, Pseudoscorpiones, Opiliones) and Wasps. Combining trend information with information on the climate preferences of species provides a means of broadening understanding beyond groups that are the focus of specific recording schemes.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"184 ","pages":"Article 114715"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147407721","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}