1.Background Ecosystems supply a wide range of goods and services.This has been an important research topic for decades,and numerous works have argued that ecosystems are key to human wellbeing(Pinto et al.,2022).The ...1.Background Ecosystems supply a wide range of goods and services.This has been an important research topic for decades,and numerous works have argued that ecosystems are key to human wellbeing(Pinto et al.,2022).The ecosystem services(ES)concept emerged from the idea that humans depend on the environment and is defined as the bene fits people obtain from ecosystems(MEA,2005).Although there are different classifications,ES are normally divided into Regulating,Pro visioning,and Cultural.展开更多
Estuarine and bay ecosystems serve as crucial transitional zones for land-based pollutants entering the ocean.However,there is a critical gap in understanding the behavior of emerging pollutants in the numerous small ...Estuarine and bay ecosystems serve as crucial transitional zones for land-based pollutants entering the ocean.However,there is a critical gap in understanding the behavior of emerging pollutants in the numerous small estuaries and bays located in undeveloped coastal areas.This study provides insights into the fate of antibiotics in these small and scattered estuaries and bays in Shantou's coast,driven by land use types and hydrodynamic conditions.The findings indicated that estuaries were more heavily polluted with antibiotics than the bays(P<0.05),with tetracyclines and fluoroquinolones as the primary antibiotics.Antibiotic pollution levels were more severe in October than in June(P<0.01).Rainfall runoff,aquaculture tailwater,and river discharge were identified as the main sources of antibiotic pollution.Build-up land and aquaculture ponds were the primary land use types contributing to antibiotic pollution.The total antibiotic concentrations in June were positively correlated with the proportion of aquaculture ponds(P<0.05)and negatively correlated with the proportions of cropland and grassland(P<0.05).The concentrations of lomefloxacin and ofloxacin were positively correlated with build-up land.The antibiotic concentrations exhibited strong spatial heterogeneity within both bay and estuarine ecosystems driven by different hydrodynamic conditions.A comparative analysis of global estuaries and bays revealed that specific land-use types and hydrodynamic conditions produced similar trends in antibiotic fate.These insights offered new perspectives to safeguard the health of estuarine and bay ecosystems,such as altering landscape patterns and regulating aquaculture activities.展开更多
2026 marks the 13th year of publications at Forest Ecosystems-a journal dedicated to communicating research elucidating the dynamics of forest ecosystem structure and function,their natural services across the globe,a...2026 marks the 13th year of publications at Forest Ecosystems-a journal dedicated to communicating research elucidating the dynamics of forest ecosystem structure and function,their natural services across the globe,and their management.Since its initial launch in 2014,Forest Ecosystems has enjoyed a steady growth in both publication quantity and quality:Annual publications increased from 23 articles in a single vol-ume in the first year to a total of 113 articles in three volumes in 2025,with the impact factor by Journal Citation Report reaching 4.4 for 2024,placing Forest Ecosystems well within top 10%of all journals in the category of Forestry.展开更多
Nutrient resorption is a key process through which plants optimize resource use in nutrient-limited environ-ments.Global nutrient addition experiments and meta-analyses have revealed high variability in nutrient resor...Nutrient resorption is a key process through which plants optimize resource use in nutrient-limited environ-ments.Global nutrient addition experiments and meta-analyses have revealed high variability in nutrient resorption efficiency(NuRE)and its influencing factors.However,most existing ecosystem models utilize static constants for NuRE,which fail to capture this variability and limit the model's ability to accurately describe nutrient cycling.Here,we introduce two innovations:(i)a multifactor allometric model that extends conven-tional single-factor formulations alongside a hybrid framework that couples the allometric core with random forest(RF)residual correction to capture nonlinearities and interactions;and(ii)utilization of the resorbed nutrient amount(ReNu),rather than the ratio-based NuRE,as a more robust modeling target to reduce uncer-tainty and improve predictability.Using independent datasets from China and a global meta-analysis,nutrient resorption exhibited substantial variability.Allometric modeling predicted ReNu with R2>0.7,outperforming NuRE(R2<0.3),and hybrid modeling further reduced prediction error.NuRE is less robust and relies more on RF residual correction.By combining the interpretability of parametric allometry with the flexibility of data-driven learning,our framework provides a more accurate and dynamic representation of nutrient resorption for modeling forest nutrient cycling under global environmental change.展开更多
China's new national park system prioritizes the conservation of large-scale ecosystems to maintain ecological integrity,exemplified by Qilian Mountain National Park(QMNP)in northwestern China.QMNP straddles both ...China's new national park system prioritizes the conservation of large-scale ecosystems to maintain ecological integrity,exemplified by Qilian Mountain National Park(QMNP)in northwestern China.QMNP straddles both pristine and pastoral landscapes and provides critical habitat for diverse migratory and resident birds as key stopover and breeding grounds.In this region,centuries of pastoralism have shaped grassland structure and biodiversity.However,spatial distribution patterns of avian species across the heterogeneous,coupled natural and pastoral landscapes of the Tibetan Plateau remain poorly understood due to persistently low detection rates resulting from high species richness,vast distribution ranges,and extensive landscape heterogeneity.To address this,we combined field surveys with functional guild-based Bayesian hierarchical occupancy modeling to elucidate guild-specific spatial distributions and their environmental drivers.Over the three consecutive summers of 2022–2024,we surveyed 72 line transects and 27 fixed observation points,recording 40 species classified into three functional guilds(small-sized,medium-sized and raptors).Vegetation cover and slope gradient were the primary determinants of guild distributions:small-sized birds strongly preferred patches of dense vegetation and avoided hotspots of medium-sized birds,whereas raptors favored gentle slopes.Furthermore,effects of growing season precipitation,distance to water,and human activity varied substantially among guilds in both magnitude and direction.These findings reveal distinct guild-specific habitat selection patterns driven by environmental filtering.Our findings demonstrate that extensive natural-pastoral landscapes remain crucial for avifauna despite traditional pastoral practices,and that functional trait-based modeling can effectively address the significant low-detection challenge in remote,biodiversity-rich grassland ecosystems of the Tibetan Plateau.展开更多
Biological invasions threaten biodiversity and ecosystem stability through stage-dependent functional trait mediation.However,the mechanistic linkages between invasion intensity and multidimensional functional traits ...Biological invasions threaten biodiversity and ecosystem stability through stage-dependent functional trait mediation.However,the mechanistic linkages between invasion intensity and multidimensional functional traits remain inadequately characterized.To address this gap,we analyzed eight multidimensional functional traits across 290 subtropical herbaceous plots in Jinhua,China.By integrating invasion level,we evaluated how native and invasive species traits differentially regulate community invasibility,a metric quantifying a community's susceptibility to biological invasion.Functional and taxonomic diversity exhibited hump-shaped patterns,peaking at moderate invasion before declining sharply under heavy invasion,while community invasibility increased markedly with invasion level.Native communities resisted invasion through persistent suppression of canopy height and stageadaptive strategies:Leaf thickness emerged as a critical resistance trait under heavy invasion,counteracting invasive dominance.In contrast,invasive species initially prioritized rapid canopy occupation via height-mediated advantages,subsequently shifting toward stress tolerance(e.g.,thickened leaves)and resource reallocation(e.g.,root-shoot ratio adjustments)to consolidate dominance.Native abundance universally suppressed invasibility across all invasion stages,whereas invasive abundance amplified success only at advanced stages.Resistance was governed by stage-dependent trait trade-offs:Native leaf dry weight enhanced invasibility under light invasion but became ineffective as competition intensified.Conversely,invasive aboveground biomass and root-shoot ratio consistently promoted invasibility,reflecting prioritization of rapid resource acquisition.Our findings demonstrate that invasion outcomes depend on the spatiotemporal coordination of multidimensional functional traits.We propose an adaptive management framework for urban ecosystems emphasizing structural preservation(e.g.,maintaining native canopy height)combined with stage-specific trait optimization of resistance traits to mitigate invasibility.展开更多
The contemporary smart cities,smart homes,smart buildings,and smart health care systems are the results of the explosive growth of Internet of Things(IoT)devices and deep learning.Yet the centralized training paradigm...The contemporary smart cities,smart homes,smart buildings,and smart health care systems are the results of the explosive growth of Internet of Things(IoT)devices and deep learning.Yet the centralized training paradigms have fundamental issues in data privacy,regulatory compliance,and ownership silo alongside the scaled limitations of the real-life application.The concept of Federated Deep Learning(FDL)is a privacy-by-design method that will enable the distributed training of machine learning models among distributed clients without sharing raw data and is suitable in heterogeneous urban settings.It is an overview of the privacy-preserving developments in FDL as of 2018-2025 with a narrow scope on its usage in smart cities(traffic prediction,environmental monitoring,energy grids),smart homes/buildings/IoT(non-intrusive load monitoring,HVAC optimization,anomaly detection)and the healthcare application(medical imaging,Electronic Health Records(EHR)analysis,remote monitoring).It gives coherent taxonomy,domain pipelines,comparative analyses of privacy mechanisms(differential privacy,secure aggregation,Homomorphic Encryption(HE),Trusted Execution Environments(TEEs),blockchain enhanced and hybrids),system structures,securityobustness defense,deployment/Machine Learning Operation(MLOps)issues,and the longstanding challenges(non-IID heterogeneity,communication efficiency,fairness,and sustainability).Some of the contributions made are structured comparisons of privacy threats,practical design advice on urban areas,recognition of open problems,and a research roadmap into the future up to 2035.The paper brings out the transformational worth of FDL in building credible,scalable,and sustainable intelligent urban ecosystems and the need to do further interdisciplinary research in standardization,real-world testbeds,and ethical governance.展开更多
Phosphorus (P) is an essential nutrient element that is critical for plant growth and ecosystem functionality.The soil P cycle plays multiple roles,such as sustaining plant growth and productivity,regulating nutrient ...Phosphorus (P) is an essential nutrient element that is critical for plant growth and ecosystem functionality.The soil P cycle plays multiple roles,such as sustaining plant growth and productivity,regulating nutrient balance within ecosystems,and enhancing ecosystem adaptability and resilience.This cycle is influenced by factors such as the restoration approach and microbial community dynamics.However,the extent to which the restoration approach alters the P cycle in karst ecosystems and the underlying microbial mechanisms remain poorly understood.The P-cycle multifunctionality index (P-cycle MFI) serves as a comprehensive indicator for evaluating soil P cycle function,and it provides insights into changes in the P cycle between different restoration approaches.To investigate the shifts in soil P-cycle MFI and microbial mechanisms between different restoration approaches,we analyzed soil available P (AP),total P (TP),microbial biomass P (MBP),and the activities of acid phosphatase (ACP) and alkaline phosphatase (ALP).These data were used to calculate the P-cycle MFI by averaging the Z-scores between two restoration approaches(artificial restoration of forest (AF) and natural restoration of forest (NF)) and a control (cropland,CP) at six subtropical karst ecosystem sites in China.We also determined the soil organic carbon (SOC),exchangeable calcium (Ca) and magnesium (Mg),pH,bulk density (BD),microbial biomass C (MBC),and microbial biomass nitrogen (MBN),as well as the community structure,relative abundance,diversity indices,and co-occurrence networks of phoD-harboring bacteria.The results showed that the community structure of phoD-harboring bacteria varied significantly among AF,NF,and CP and across different temperature gradients.These bacteria exhibited increasing complexity and tightness in co-occurrence networks from CP to AF and then to NF,along with the ACP and ALP activities,but not the TP and AP contents.The P-cycle MFI values were significantly higher in NF compared to AF and CP,and the variation was significantly explained by restoration approach,temperature,MBC,MBN,SOC,exchangeable Ca,BD,community structure of phoD-harboring bacteria,and exchangeable Mg.Furthermore,natural restoration had a more substantial impact on the P-cycle MFI than temperature by enhancing SOC,microbial biomass,the complexity and co-occurrence network tightness of the phoD-harboring bacterial community structure,and ACP and ALP activities,but it reduced soil BD.The rare genera of phoD-harboring bacteria significantly influenced the variation of soil P-cycle MFI compared to the dominant genera.This study highlights the importance of rare genera of phoD-harboring bacteria in driving soil P-cycle multifunctionality in karst ecosystems,with natural restoration being more effective than artificial methods for enhancing soil organic matter and microbial community complexity.展开更多
Microplastics,resulting from human activities,are widespread environmental contaminants that threaten both ecosystems and human health.These particles,less than 5 mm in size,are found in air,soil,and water,originating...Microplastics,resulting from human activities,are widespread environmental contaminants that threaten both ecosystems and human health.These particles,less than 5 mm in size,are found in air,soil,and water,originating from industrial waste and everyday plastic products.They come in various shapes,sizes,and colors,with primary and secondary microplastics formed through degradation processes.Microplastics have entered the food chain,affecting all trophic levels,with detrimental effects on organisms such as plankton,fish,and corals.Research on microplastics is hindered by methodological biases and sampling inconsistencies,which impact the reliability and comparability of data,as different techniques often yield varying results.Current degradation methods,including bioremediation and filtration,show potential but remain limited.Detecting microplastics is challenging due to their small size,though advanced techniques like morphological and analytical analyses,particularly in fish guts,aid detection.Targeted studies on microplastic levels in aquatic species are crucial,and the development of biodegradable alternatives is essential to mitigate their long-term environmental impact.展开更多
Arid and semi-arid ecosystems are prone to extensive fires due to specific climatic conditions,sparse vegetation cover,and high density of fine fuels.Understanding the flammability characteristics of land covers is es...Arid and semi-arid ecosystems are prone to extensive fires due to specific climatic conditions,sparse vegetation cover,and high density of fine fuels.Understanding the flammability characteristics of land covers is essential for fire management and designing land restoration programs in arid and semi-arid ecosystems.This study provided a new approach to evaluate the flammability of shrublands and woodlands using flammability indices(FIs)including time to ignition(TI),duration of combustion(DC),and flame height(FH)of plant species and their relative frequencies in the Dalfard Basin of southeastern Iran.The results showed that there was a significant difference in FIs between land covers.Shrublands had higher flammability potential compared with woodlands.Plant moisture content had a negative relationship with TI(P0.050).Artemisia spp.,Astragalus gossypinus Fischer,Amygdalus scoparia Spach,and Cymbopogon jwarancusa(Jones)Schult.had the highest FI.Tree species such as Rhazya stricta Decne.,and Pistacia atlantica Desf.showed greater resistance to fire.Using principal component analysis,the relationship between species and FIs was examined,and TI of wet fuel was the most important FI in relation to species.Structural equation model showed that life form(P<0.001)was the most important flammability driver.Precipitation(P<0.010)and legume species(P<0.010)were significantly related to the flammability in arid land.This study emphasizes the importance of managing high-risk species and using resistant species in vegetation restoration and shows that combining species FIs with their abundance is an effective tool for assessing fire risk and fuel management at the plant community scale.展开更多
As extreme climatic events,super typhoons can exert severe threats to terrestrial vegetation ecosystems.Super typhoon‘Yagi’(No.2411),recognized as the most intense tropical cyclone worldwide in 2024,was characterize...As extreme climatic events,super typhoons can exert severe threats to terrestrial vegetation ecosystems.Super typhoon‘Yagi’(No.2411),recognized as the most intense tropical cyclone worldwide in 2024,was characterized by prolonged duration,extensive spatial impact,and exceptional destructive capacity.This study evaluated the sensitivity and response mechanisms of surface vegetation ecosystems to super typhoons on multiple dimensions using remote sensing,survey,and observation data.The results revealed that:1)this super typhoon(intensity≥level 7)affected an area of 1484145 km2;506640 km2was terrestrial area.Typhoon intensity was positively correlated with the severity of vegetation destruction,following a concentric gradient pattern that decreased radially from the typhoon’s core.2)In non-built-up area,forest ecosystems were the predominant land cover type that is affected by the super typhoon(271807 km2),followed by croplands(69151 km2).Different forest ecosystems exhibited varying susceptibility to the super typhoon.Mixed forests demonstrated extreme susceptibility,with 60.30%Normalized Difference Vegetation Index(NDVI)deterioration,whereas broadleaf forests exhibited comparatively greater wind resistance(30.89%NDVI deterioration).3)In built-up area,the sensitivity of vegetation of urban functional zones to super typhoon‘Yagi’exhibited spatial heterogeneity,influenced by landscape patterns.Sensitivity of different tree species to the super typhoon also varied,with Areca catechu exhibiting an 85%uprooting rate,while Syagrus,Pterocarpus indicus and Dypsis lutescens maintained uprooting rates below 10%.This study quantitatively assesses the heterogeneous impacts of super typhoon‘Yagi’on vegetation across large scales,and provided scientific references for typhoon disaster prevention and mitigation strategies.展开更多
Understanding how biodiversity-ecosystem functioning(BEF)relationships scale spatially and temporally remains critical under global change.Here,using continuous monitoring databases across temperate,subtropical and tr...Understanding how biodiversity-ecosystem functioning(BEF)relationships scale spatially and temporally remains critical under global change.Here,using continuous monitoring databases across temperate,subtropical and tropical natural forests in China from 2004 to 2020,we quantified multiscale tree diversity-biomass dynamics.Linear mixed-effect and structural equation models were used to further disentangle the direct and indirect pathways through which tree diversity influences forest biomass at different scales.The results revealed significant positive linear relationships between tree species richness and stand biomass at 1200 and 400 m² scales(P0.05).Notably,these demonstrated relationships exhibited consistent temporal stability across all spatial scales throughout the study period.Importantly,the direct effect of tree diversity on biomass intensified with increasing spatial scale,while indirect effects mediated through stand structural attributes(CV_DBH and tree density)became proportionally stronger at finer scales.Further analyses showed that stand structural attributes emerged as the strongest predictor of biomass variation across all scales,surpassing both diversity and climate effects.Furthermore,spatial variation of climate factors(mean annual temperature and mean annual precipitation)mainly affected stand biomass through the indirect effects on tree species diversity and stand structural attributes.Overall,multiscale analyses revealed stand structural attributes dominates biomass prediction,with climate acting indirectly.Scaling biodiversity-structure strategies can enhance forest resilience under global change.Future work should integrate cross-scale mechanisms into climate-smart afforestation for sustainable carbon sequestration.展开更多
Ecological impacts of aerosols on vegetation remain highly uncertain due to their capacity for both modifying radiation and causing phytotoxic damage.China has experienced the most rapid air quality improvement global...Ecological impacts of aerosols on vegetation remain highly uncertain due to their capacity for both modifying radiation and causing phytotoxic damage.China has experienced the most rapid air quality improvement globally since 2013,yet the ecosystem consequences of this governance are poorly quantified.Here,we analyzed satellite observations and reanalysis data from multiple sources covering a long period to investigate the spatiotemporal intereactions between aerosols and vegetation across China.By employing generalized linear mixed models(GLMM),we isolated the independent and relative contributions of aerosol optical depth(AOD)to vegetation dynamics.Our results reveal a pronounced divergence between the north and south:AOD suppresses vegetation growth in southern China with limited radiation,while in regions limited by water availability,it likely enhances water use efficiency and productivity by reducing surface radiation and vapor pressure deficit(VPD),thereby curtailing transpiration water loss.The impacts exhibited diverse patterns across species:nee-dleleaf forests,meadows,wetlands,and shrublands demonstrated heightened vulnerability to aerosol suppres-sion,whereas needleleaf and broadleaf mixed forests uniquely benefited from increased diffuse radiation.Notably,the gross primary productivity(GPP)of steppe ecosystems underwent a fundamental shift from a negative to a positive response to aerosols after 2013,highlighting the dynamic interactions between aerosols and ecosystems that were specific to the environment.Crucially,the GLMM quantified a significant weakening of the aerosol suppression effect after the implementation of clean air policies,with its standardized negative co-efficient on GPP declining from 0.16 to 0.10.This study provides observational evidence on a large scale that improving air quality not only alleviates environmental stress but also directly promotes ecosystem function,offering critical insights for assessing carbon neutrality policies.展开更多
Livestock farming is a critical pillar of Tajikistan’s national economy and livelihood security.However,significant economic challenges in the country have led to the degradation of grassland ecosystems.This degradat...Livestock farming is a critical pillar of Tajikistan’s national economy and livelihood security.However,significant economic challenges in the country have led to the degradation of grassland ecosystems.This degradation has not only reduced the productivity of grassland ecosystems but also severely impacted their ecological functions.A particularly concerning consequence is the threat to biodiversity,as the survival and persistence of endemic,rare,and endangered plant species are at serious risk,thereby diminishing the value of species’genetic resources.Based on the data from multiple sources such as literature reviews,field observations,and national statistics,this study employed a systematic literature review and meta-analysis to investigate the current status,causes of degradation,and restoration measures for grassland ecosystems in Tajikistan.The results revealed that Tajikistan’s grassland ecosystems support exceptionally high plant species diversity,comprising over 4500 vascular plant species,including nearly 1500 endemic and sub-endemic taxa that constitute a unique genetic reservoir.These ecosystems are experiencing severe degradation,characterized by significantly reduced vegetation cover and declining species richness.Palatable forage species are increasingly being displaced by unpalatable,thorny,and poisonous species.The primary drivers of degradation include excessive grazing pressure,which disrupts plant reproductive cycles and regeneration capacity,habitat fragmentation due to urbanization and infrastructure development,and uncontrolled exploitation of medicinal and edible plants.Climate change,particularly rising temperatures and altered precipitation patterns,further exacerbates these anthropogenic pressures.Ecological restoration experiments suggested that both ecosystem productivity and plant species diversity are significantly enhanced by systematic reseeding trials using altitude-adapted native species.These findings underscore the necessity of establishing scientifically grounded approaches for ecological restoration.展开更多
Lhasa,one of the world's highest cities,confronts the challenge of harmonizing cultural heritage preservation with ecological protection.Assessing the spatiotemporal dynamics of ecosystem service value(ESV)in its ...Lhasa,one of the world's highest cities,confronts the challenge of harmonizing cultural heritage preservation with ecological protection.Assessing the spatiotemporal dynamics of ecosystem service value(ESV)in its central urban area is therefore critical for informing future urban planning and land management.This study systematically analyzed land use evolution,the spatiotemporal characteristics of ecosystem services,and ecological network construction within Lhasa's central urban area.It integrated multi-source data,including Landsat remote sensing imagery from 2000,2010,and 2023,with multiple modeling methods such as the InVEST model,MaxEnt for cultural service assessment,the Minimum Cumulative Resistance(MCR)model,and circuit theory.Based on these analyses,optimization strategies were proposed.The results indicate that from 2000 to 2023,areas of cultivated land,grassland,and water bodies decreased by 7.47%,6.85%,and 0.68%,respectively,while wetland and forest areas expanded by 1.44%and 0.64%.Construction land exhibited significant expansion(12.94%),leading to an overall ESV reduction of 462.8×105yuan.Vegetation coverage was identified as the pivotal factor influencing ESV distribution,with higher values concentrated in the Lhasa River Basin and near the Lhalu Wetland,diminishing towards the urban core.Furthermore,spatial autocorrelation analysis revealed significant positive spatial clustering,with low-low aggregation in the eastern and central regions and high-high aggregation in the Lhasa River Basin and its surrounding water bodies.Moreover,based on a comprehensive ecosystem service assessment,11 ecological source sites were identified,primarily in the southwestern mountains and northeastern foothills.A comprehensive resistance surface,incorporating factors such as elevation,Normalized Difference Vegetation Index(NDVI),and land use,facilitated the extraction of 23 potential ecological corridors totaling 124.96 km in length.Topological network analysis indicated high redundancy and connectivity;however,marginal source sites relying on single connections exhibited significant vulnerability to rupture.Additionally,the application of circuit theory identified 30 ecological pinch points(current density≥1.5 A/km2)and 23 obstacle points,revealing significant blockages to ecological flow along the Qinghai-Xizang Highway,within the old city,and in other areas of high-intensity human activity.To address the identified network deficiencies—‘scattered cores,fragmented corridors,and insufficient resilience’—this study proposes an optimization strategy conceptualized as‘one vein,three corridors,and multiple cores’.Recommendations for enhancing network resilience include the delineation of ecological protection red lines,the integration of plateau-adapted technologies,and the fostering of community governance mechanisms.This approach aims to provide a scientific basis for constructing an ecological security pattern and promoting sustainable development in plateau cities.Ultimately,this research contributes to the enhancement of ecological well-being in the Himalayan region.展开更多
Ecosystems along the eastern margin of the Qinghai-Tibet Plateau(EQTP)are highly fragile and extremely sensitive to climate change and human disturbances.To quantitatively assess climate-induced ecosystem responses,th...Ecosystems along the eastern margin of the Qinghai-Tibet Plateau(EQTP)are highly fragile and extremely sensitive to climate change and human disturbances.To quantitatively assess climate-induced ecosystem responses,this study proposes a Climate-Induced Productivity Index(CIPI)based on the Super Slack-Based Measure(Super-SBM)model using remote sensing data from 2001 to 2020.The results reveal persistently low CIPI values(0.47-0.53)across major ecosystem types,indicating widespread vulnerability to climatic variability.Among these ecosystems,forests exhibit the highest CIPI(0.55),followed by shrublands(0.54),croplands(0.53),grasslands(0.51),and barelands(0.43).The Theil index analysis further demonstrates significant intra-group disparities,suggesting that extreme climatic events amplify CIPI heterogeneity.Moreover,the dominant environmental drivers differ among ecosystem types:the Palmer Drought Severity Index(PDSI)primarily constrains grassland productivity,solar radiation(SRAD)strongly influences shrub and cropland systems,whereas subsurface factors exert greater control in forested regions.This study provides a quantitative framework for evaluating climate-ecosystem interactions and offers a scientific basis for long-term ecological monitoring and security planning across the EQTP.展开更多
Net ecosystem productivity(NEP)is a key indicator for estimating carbon sink dynamics in terrestrial ecosystems.Existing studies on carbon sink dynamics in Northwest China have uncertainties in quantifying spatiotempo...Net ecosystem productivity(NEP)is a key indicator for estimating carbon sink dynamics in terrestrial ecosystems.Existing studies on carbon sink dynamics in Northwest China have uncertainties in quantifying spatiotemporal variations of NEP and their driving factors.This study estimated NEP across ecosystems in Northwest China during 2000–2020 using multi-model integration,and analyzed its spatiotemporal patterns and drivers.Results showed that the annual average NEP was 97.98 g C/(m2·a),with higher values at eastern and western margins and lower values in central hinterland.Strong carbon sink areas included the Yili River Basin and northern slope of Tianshan Mountains,while low carbon sink areas concentrated in eastern Xinjiang Uygur Autonomous Region(Eastern Xinjiang)and Alxa-Ejin Plateau.NEP trended upward from 79.22 g C/(m2·a)in 2000 to 109.03 g C/(m2·a)in 2020 with low variability and strong persistence,suggesting continuous growth.NEP significantly and positively correlated with near-infrared reflectance of vegetation(NIRv),weakly with climate factors,and negatively with socio-economic density indicators.Topographically,NEP peaked at 2.0–2.4 km elevation,15°-25°slopes,and north-facing aspects.Changes in ecosystem type significantly influenced NEP,with bare land conversion into grassland/cropland enhancing carbon sinks.Results of this study highlight the need for ecological restoration and rational land use to boost carbon sequestration in this ecologically sensitive region.展开更多
The Hai Phong-Ha Long coastal area,with its World Natural Heritage site of Ha Long Bay-Cat Ba islands,has been under intense pressure from rapid development to meet the socio-economic goals set by Hai Phong City and Q...The Hai Phong-Ha Long coastal area,with its World Natural Heritage site of Ha Long Bay-Cat Ba islands,has been under intense pressure from rapid development to meet the socio-economic goals set by Hai Phong City and Quang Ninh Province.As such,urgent land needs for infrastructure construction of economic sectors and urbanization have led to intensive coastal reclamation and seafill leveling,and their environmental consequences.The objective of this study is to assess the adverse environmental effects of coastal reclamation in the Hai Phong—Ha Long area,focusing on ecosystems,environmental quality,and seabed morphology at a regional scale.To achieve this objective,the study employed the regular techniques of environmental assessment methods,such as checklists,matrices,network diagrams,and overlay maps,to appraise these environmental consequences.The results show three main impacted natural components,including coastal ecosystems,environmental qualities,and morphological seabeds,besides coastline changes and socio-economic issues.The most impacted component was coastal ecosystems,followed by the coastal environmental qualities of seawater and sediments,and then the morphological seabed.Based on the study results,it is recommended that during the development of an integrated coastal management plan for the coastal area of Hai Phong–Ha Long,environmental issues of coastal reclamation and seafill leveling must be given much attention.展开更多
The Yellow River Basin(YRB),located in the mid-latitude region of China,encompasses diverse ecosystem types and is highly sensitive to climate change.However,the temporal patterns and environmental drivers of net ecos...The Yellow River Basin(YRB),located in the mid-latitude region of China,encompasses diverse ecosystem types and is highly sensitive to climate change.However,the temporal patterns and environmental drivers of net ecosystem CO2exchange(NEE)across multiple time scales remain poorly understood.Using eddy covariance observations from the ChinaFLUX network collected between 2003 and 2020,this study investigated the temporal dynamics of NEE and its primary environmental controls in five representative ecosystem types within the YRB and its adjacent 100-km buffer zone:cropland,forest,grassland,shrubland,and wetland ecosystems.The results showed that all five ecosystems exhibited a generally U-shaped diurnal pattern from May to September,characterized by net CO2uptake during the daytime and net CO2release at night.At the daily scale,cropland displayed a typical bimodal carbon uptake pattern,whereas forest ecosystem exhibited the greatest day-to-day variability in NEE.In contrast,grassland,shrubland,and wetland ecosystems showed relatively smooth daily fluctuations.The net CO2source-sink functions derived from NEE differed substantially among ecosystem types.Forest ecosystems acted as the most stable and persistent carbon sinks,whereas croplands exhibited short-term but high-intensity carbon uptake.Wetlands showed pronounced interannual variability,including an extreme net CO2release event at the Haibei wetland site in 2007.Grassland and shrubland ecosystems were more susceptible to environmental stress and could shift from net CO2sinks to net CO2sources during drought years.The environmental controls on NEE exhibited clear time-scale dependence.At the half-hourly scale,photosynthetically active radiation(PAR)was the dominant driver of NEE variability,the influence of temperature increased progressively from the daily to monthly scales.These findings improve the understanding of regional carbon dynamics in the YRB,provide insights into the net CO2source-sink status of different ecosystem types,and elucidate the mechanisms regulating ecosystem CO2exchange across multiple temporal scales.展开更多
Expanding economic potential and protecting the environment,while facing mounting climate and biodiversity stress,is becoming the challenge of environmental resource management.This review explores developments and on...Expanding economic potential and protecting the environment,while facing mounting climate and biodiversity stress,is becoming the challenge of environmental resource management.This review explores developments and ongoing obstacles in six areas of resource of the Sustainable Development Goal(SDG)that include water;land,soils,and food systems;forests and terrestrial carbon biodiversity governance;oceans,coasts,and fisheries;biodiversity connectivity;and extractives and energy-transition supply chains.Most of the interventions continue to ignore ecological thresholds,accruing effects,and cross-system feedbacks,whereas monitoring systems focus on measures of activity rather than confirmed results.Conversely,sustained improvement is most frequently associated with integrated governance,which incorporates open measurement,implementation,rights-based participation,and fair distribution of benefits.Local conservation is often overwhelmed by market forces of demand and structural forces,including subsidies,supply chains,and investment in infrastructure,which fail to stop leakage or war,unless accountability mechanisms are in place.Climate change also aggravates set baselines and puts forward the importance of adaptive regulation,spatial planning,and diversified portfolios,which combine engineered reliability with ecosystem resilience.The review brings out current SDG priorities,which include outcome-based indicators,causal evaluation,governance structures that enhance legitimacy,and transition planning that harmonizes the mineral sourcing,renewable deployment,biodiversity,and water limits.Combined,these observations indicate that striking the balance between ecology and economy is possible when ecological boundaries are under consideration as binding constraints and equity is perceived as a source of sustainability.展开更多
基金funded by the European Union NextGeneration EU through the National Recovery and Resilience Plan,Component 9.I8.,grant number 760104/May 23,2023,code CF 245/November 29,2022supported by the project“Sensing,Mapping,Interconnecting:Tools for soil functions and services evaluation”supported by the Romanian Government,Ministry of the Innovation and Digitization through the National Recovery and Resilience Plan(PNRR)PNRR-III-C9-2022-I8,contract no.CF245/29.11.2022.
摘要1.Background Ecosystems supply a wide range of goods and services.This has been an important research topic for decades,and numerous works have argued that ecosystems are key to human wellbeing(Pinto et al.,2022).The ecosystem services(ES)concept emerged from the idea that humans depend on the environment and is defined as the bene fits people obtain from ecosystems(MEA,2005).Although there are different classifications,ES are normally divided into Regulating,Pro visioning,and Cultural.
基金supported by the National Key Research and Development Program of China(Nos.2022YFF0801104 and 2021YFD1700600)the National Natural Science Foundation of China(No.51809177)the Science Foundation of Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences(No.NIGLAS2022GS08).
摘要Estuarine and bay ecosystems serve as crucial transitional zones for land-based pollutants entering the ocean.However,there is a critical gap in understanding the behavior of emerging pollutants in the numerous small estuaries and bays located in undeveloped coastal areas.This study provides insights into the fate of antibiotics in these small and scattered estuaries and bays in Shantou's coast,driven by land use types and hydrodynamic conditions.The findings indicated that estuaries were more heavily polluted with antibiotics than the bays(P<0.05),with tetracyclines and fluoroquinolones as the primary antibiotics.Antibiotic pollution levels were more severe in October than in June(P<0.01).Rainfall runoff,aquaculture tailwater,and river discharge were identified as the main sources of antibiotic pollution.Build-up land and aquaculture ponds were the primary land use types contributing to antibiotic pollution.The total antibiotic concentrations in June were positively correlated with the proportion of aquaculture ponds(P<0.05)and negatively correlated with the proportions of cropland and grassland(P<0.05).The concentrations of lomefloxacin and ofloxacin were positively correlated with build-up land.The antibiotic concentrations exhibited strong spatial heterogeneity within both bay and estuarine ecosystems driven by different hydrodynamic conditions.A comparative analysis of global estuaries and bays revealed that specific land-use types and hydrodynamic conditions produced similar trends in antibiotic fate.These insights offered new perspectives to safeguard the health of estuarine and bay ecosystems,such as altering landscape patterns and regulating aquaculture activities.
摘要2026 marks the 13th year of publications at Forest Ecosystems-a journal dedicated to communicating research elucidating the dynamics of forest ecosystem structure and function,their natural services across the globe,and their management.Since its initial launch in 2014,Forest Ecosystems has enjoyed a steady growth in both publication quantity and quality:Annual publications increased from 23 articles in a single vol-ume in the first year to a total of 113 articles in three volumes in 2025,with the impact factor by Journal Citation Report reaching 4.4 for 2024,placing Forest Ecosystems well within top 10%of all journals in the category of Forestry.
基金supported by the National Natural Science Foundation of China(No.42130506)the Special Technology Innovation Fund of Carbon Peak and Carbon Neutrality in Jiangsu Province(No.BK20231515)+1 种基金the project PID2022-140808NB-I00,funded by the Spanish MICIU/AEI/10.13039/501100011033 and FEDER,European Unionthe Postgraduate Innovation Foundation in Jiangsu Province(No.KYCX25_1600).
摘要Nutrient resorption is a key process through which plants optimize resource use in nutrient-limited environ-ments.Global nutrient addition experiments and meta-analyses have revealed high variability in nutrient resorption efficiency(NuRE)and its influencing factors.However,most existing ecosystem models utilize static constants for NuRE,which fail to capture this variability and limit the model's ability to accurately describe nutrient cycling.Here,we introduce two innovations:(i)a multifactor allometric model that extends conven-tional single-factor formulations alongside a hybrid framework that couples the allometric core with random forest(RF)residual correction to capture nonlinearities and interactions;and(ii)utilization of the resorbed nutrient amount(ReNu),rather than the ratio-based NuRE,as a more robust modeling target to reduce uncer-tainty and improve predictability.Using independent datasets from China and a global meta-analysis,nutrient resorption exhibited substantial variability.Allometric modeling predicted ReNu with R2>0.7,outperforming NuRE(R2<0.3),and hybrid modeling further reduced prediction error.NuRE is less robust and relies more on RF residual correction.By combining the interpretability of parametric allometry with the flexibility of data-driven learning,our framework provides a more accurate and dynamic representation of nutrient resorption for modeling forest nutrient cycling under global environmental change.
基金supported by the Fundamental Investigation of Global Environmental Facility–Climate-smart Grassland Ecosystem Management Project–Grassland Wildlife Monitoring and Impact Assessment(grant number CSMG-C-19)。
摘要China's new national park system prioritizes the conservation of large-scale ecosystems to maintain ecological integrity,exemplified by Qilian Mountain National Park(QMNP)in northwestern China.QMNP straddles both pristine and pastoral landscapes and provides critical habitat for diverse migratory and resident birds as key stopover and breeding grounds.In this region,centuries of pastoralism have shaped grassland structure and biodiversity.However,spatial distribution patterns of avian species across the heterogeneous,coupled natural and pastoral landscapes of the Tibetan Plateau remain poorly understood due to persistently low detection rates resulting from high species richness,vast distribution ranges,and extensive landscape heterogeneity.To address this,we combined field surveys with functional guild-based Bayesian hierarchical occupancy modeling to elucidate guild-specific spatial distributions and their environmental drivers.Over the three consecutive summers of 2022–2024,we surveyed 72 line transects and 27 fixed observation points,recording 40 species classified into three functional guilds(small-sized,medium-sized and raptors).Vegetation cover and slope gradient were the primary determinants of guild distributions:small-sized birds strongly preferred patches of dense vegetation and avoided hotspots of medium-sized birds,whereas raptors favored gentle slopes.Furthermore,effects of growing season precipitation,distance to water,and human activity varied substantially among guilds in both magnitude and direction.These findings reveal distinct guild-specific habitat selection patterns driven by environmental filtering.Our findings demonstrate that extensive natural-pastoral landscapes remain crucial for avifauna despite traditional pastoral practices,and that functional trait-based modeling can effectively address the significant low-detection challenge in remote,biodiversity-rich grassland ecosystems of the Tibetan Plateau.
基金the financial support provided by Zhejiang Provincial Natural Science Foundation of China(LQ22C030001)the Jindong Economic Specialty Products Station,Jinhua,Zhejiang Province。
摘要Biological invasions threaten biodiversity and ecosystem stability through stage-dependent functional trait mediation.However,the mechanistic linkages between invasion intensity and multidimensional functional traits remain inadequately characterized.To address this gap,we analyzed eight multidimensional functional traits across 290 subtropical herbaceous plots in Jinhua,China.By integrating invasion level,we evaluated how native and invasive species traits differentially regulate community invasibility,a metric quantifying a community's susceptibility to biological invasion.Functional and taxonomic diversity exhibited hump-shaped patterns,peaking at moderate invasion before declining sharply under heavy invasion,while community invasibility increased markedly with invasion level.Native communities resisted invasion through persistent suppression of canopy height and stageadaptive strategies:Leaf thickness emerged as a critical resistance trait under heavy invasion,counteracting invasive dominance.In contrast,invasive species initially prioritized rapid canopy occupation via height-mediated advantages,subsequently shifting toward stress tolerance(e.g.,thickened leaves)and resource reallocation(e.g.,root-shoot ratio adjustments)to consolidate dominance.Native abundance universally suppressed invasibility across all invasion stages,whereas invasive abundance amplified success only at advanced stages.Resistance was governed by stage-dependent trait trade-offs:Native leaf dry weight enhanced invasibility under light invasion but became ineffective as competition intensified.Conversely,invasive aboveground biomass and root-shoot ratio consistently promoted invasibility,reflecting prioritization of rapid resource acquisition.Our findings demonstrate that invasion outcomes depend on the spatiotemporal coordination of multidimensional functional traits.We propose an adaptive management framework for urban ecosystems emphasizing structural preservation(e.g.,maintaining native canopy height)combined with stage-specific trait optimization of resistance traits to mitigate invasibility.
摘要The contemporary smart cities,smart homes,smart buildings,and smart health care systems are the results of the explosive growth of Internet of Things(IoT)devices and deep learning.Yet the centralized training paradigms have fundamental issues in data privacy,regulatory compliance,and ownership silo alongside the scaled limitations of the real-life application.The concept of Federated Deep Learning(FDL)is a privacy-by-design method that will enable the distributed training of machine learning models among distributed clients without sharing raw data and is suitable in heterogeneous urban settings.It is an overview of the privacy-preserving developments in FDL as of 2018-2025 with a narrow scope on its usage in smart cities(traffic prediction,environmental monitoring,energy grids),smart homes/buildings/IoT(non-intrusive load monitoring,HVAC optimization,anomaly detection)and the healthcare application(medical imaging,Electronic Health Records(EHR)analysis,remote monitoring).It gives coherent taxonomy,domain pipelines,comparative analyses of privacy mechanisms(differential privacy,secure aggregation,Homomorphic Encryption(HE),Trusted Execution Environments(TEEs),blockchain enhanced and hybrids),system structures,securityobustness defense,deployment/Machine Learning Operation(MLOps)issues,and the longstanding challenges(non-IID heterogeneity,communication efficiency,fairness,and sustainability).Some of the contributions made are structured comparisons of privacy threats,practical design advice on urban areas,recognition of open problems,and a research roadmap into the future up to 2035.The paper brings out the transformational worth of FDL in building credible,scalable,and sustainable intelligent urban ecosystems and the need to do further interdisciplinary research in standardization,real-world testbeds,and ethical governance.
基金supported by the National Key Research and Development Program of China (2022YFF1300705)the Key Research and Development Project of Guangxi,China (Guike AB24010051)+1 种基金the National Natural Science Foundation of China (42261011,32271730 and U20A2011)the Central Public Welfare Research Institutes,Chinese Academy of Geological Sciences (2023020)。
摘要Phosphorus (P) is an essential nutrient element that is critical for plant growth and ecosystem functionality.The soil P cycle plays multiple roles,such as sustaining plant growth and productivity,regulating nutrient balance within ecosystems,and enhancing ecosystem adaptability and resilience.This cycle is influenced by factors such as the restoration approach and microbial community dynamics.However,the extent to which the restoration approach alters the P cycle in karst ecosystems and the underlying microbial mechanisms remain poorly understood.The P-cycle multifunctionality index (P-cycle MFI) serves as a comprehensive indicator for evaluating soil P cycle function,and it provides insights into changes in the P cycle between different restoration approaches.To investigate the shifts in soil P-cycle MFI and microbial mechanisms between different restoration approaches,we analyzed soil available P (AP),total P (TP),microbial biomass P (MBP),and the activities of acid phosphatase (ACP) and alkaline phosphatase (ALP).These data were used to calculate the P-cycle MFI by averaging the Z-scores between two restoration approaches(artificial restoration of forest (AF) and natural restoration of forest (NF)) and a control (cropland,CP) at six subtropical karst ecosystem sites in China.We also determined the soil organic carbon (SOC),exchangeable calcium (Ca) and magnesium (Mg),pH,bulk density (BD),microbial biomass C (MBC),and microbial biomass nitrogen (MBN),as well as the community structure,relative abundance,diversity indices,and co-occurrence networks of phoD-harboring bacteria.The results showed that the community structure of phoD-harboring bacteria varied significantly among AF,NF,and CP and across different temperature gradients.These bacteria exhibited increasing complexity and tightness in co-occurrence networks from CP to AF and then to NF,along with the ACP and ALP activities,but not the TP and AP contents.The P-cycle MFI values were significantly higher in NF compared to AF and CP,and the variation was significantly explained by restoration approach,temperature,MBC,MBN,SOC,exchangeable Ca,BD,community structure of phoD-harboring bacteria,and exchangeable Mg.Furthermore,natural restoration had a more substantial impact on the P-cycle MFI than temperature by enhancing SOC,microbial biomass,the complexity and co-occurrence network tightness of the phoD-harboring bacterial community structure,and ACP and ALP activities,but it reduced soil BD.The rare genera of phoD-harboring bacteria significantly influenced the variation of soil P-cycle MFI compared to the dominant genera.This study highlights the importance of rare genera of phoD-harboring bacteria in driving soil P-cycle multifunctionality in karst ecosystems,with natural restoration being more effective than artificial methods for enhancing soil organic matter and microbial community complexity.
摘要Microplastics,resulting from human activities,are widespread environmental contaminants that threaten both ecosystems and human health.These particles,less than 5 mm in size,are found in air,soil,and water,originating from industrial waste and everyday plastic products.They come in various shapes,sizes,and colors,with primary and secondary microplastics formed through degradation processes.Microplastics have entered the food chain,affecting all trophic levels,with detrimental effects on organisms such as plankton,fish,and corals.Research on microplastics is hindered by methodological biases and sampling inconsistencies,which impact the reliability and comparability of data,as different techniques often yield varying results.Current degradation methods,including bioremediation and filtration,show potential but remain limited.Detecting microplastics is challenging due to their small size,though advanced techniques like morphological and analytical analyses,particularly in fish guts,aid detection.Targeted studies on microplastic levels in aquatic species are crucial,and the development of biodegradable alternatives is essential to mitigate their long-term environmental impact.
摘要Arid and semi-arid ecosystems are prone to extensive fires due to specific climatic conditions,sparse vegetation cover,and high density of fine fuels.Understanding the flammability characteristics of land covers is essential for fire management and designing land restoration programs in arid and semi-arid ecosystems.This study provided a new approach to evaluate the flammability of shrublands and woodlands using flammability indices(FIs)including time to ignition(TI),duration of combustion(DC),and flame height(FH)of plant species and their relative frequencies in the Dalfard Basin of southeastern Iran.The results showed that there was a significant difference in FIs between land covers.Shrublands had higher flammability potential compared with woodlands.Plant moisture content had a negative relationship with TI(P0.050).Artemisia spp.,Astragalus gossypinus Fischer,Amygdalus scoparia Spach,and Cymbopogon jwarancusa(Jones)Schult.had the highest FI.Tree species such as Rhazya stricta Decne.,and Pistacia atlantica Desf.showed greater resistance to fire.Using principal component analysis,the relationship between species and FIs was examined,and TI of wet fuel was the most important FI in relation to species.Structural equation model showed that life form(P<0.001)was the most important flammability driver.Precipitation(P<0.010)and legume species(P<0.010)were significantly related to the flammability in arid land.This study emphasizes the importance of managing high-risk species and using resistant species in vegetation restoration and shows that combining species FIs with their abundance is an effective tool for assessing fire risk and fuel management at the plant community scale.
基金Under the auspices of the National Key R&D Program of China(No.2023YFF1304600)the Hainan Provincial Natural Science Foundation of China(No.724MS059,423QN233)。
摘要As extreme climatic events,super typhoons can exert severe threats to terrestrial vegetation ecosystems.Super typhoon‘Yagi’(No.2411),recognized as the most intense tropical cyclone worldwide in 2024,was characterized by prolonged duration,extensive spatial impact,and exceptional destructive capacity.This study evaluated the sensitivity and response mechanisms of surface vegetation ecosystems to super typhoons on multiple dimensions using remote sensing,survey,and observation data.The results revealed that:1)this super typhoon(intensity≥level 7)affected an area of 1484145 km2;506640 km2was terrestrial area.Typhoon intensity was positively correlated with the severity of vegetation destruction,following a concentric gradient pattern that decreased radially from the typhoon’s core.2)In non-built-up area,forest ecosystems were the predominant land cover type that is affected by the super typhoon(271807 km2),followed by croplands(69151 km2).Different forest ecosystems exhibited varying susceptibility to the super typhoon.Mixed forests demonstrated extreme susceptibility,with 60.30%Normalized Difference Vegetation Index(NDVI)deterioration,whereas broadleaf forests exhibited comparatively greater wind resistance(30.89%NDVI deterioration).3)In built-up area,the sensitivity of vegetation of urban functional zones to super typhoon‘Yagi’exhibited spatial heterogeneity,influenced by landscape patterns.Sensitivity of different tree species to the super typhoon also varied,with Areca catechu exhibiting an 85%uprooting rate,while Syagrus,Pterocarpus indicus and Dypsis lutescens maintained uprooting rates below 10%.This study quantitatively assesses the heterogeneous impacts of super typhoon‘Yagi’on vegetation across large scales,and provided scientific references for typhoon disaster prevention and mitigation strategies.
基金supported by the National Natural Science Foundation of China(42141005 and 42030509).
摘要Understanding how biodiversity-ecosystem functioning(BEF)relationships scale spatially and temporally remains critical under global change.Here,using continuous monitoring databases across temperate,subtropical and tropical natural forests in China from 2004 to 2020,we quantified multiscale tree diversity-biomass dynamics.Linear mixed-effect and structural equation models were used to further disentangle the direct and indirect pathways through which tree diversity influences forest biomass at different scales.The results revealed significant positive linear relationships between tree species richness and stand biomass at 1200 and 400 m² scales(P0.05).Notably,these demonstrated relationships exhibited consistent temporal stability across all spatial scales throughout the study period.Importantly,the direct effect of tree diversity on biomass intensified with increasing spatial scale,while indirect effects mediated through stand structural attributes(CV_DBH and tree density)became proportionally stronger at finer scales.Further analyses showed that stand structural attributes emerged as the strongest predictor of biomass variation across all scales,surpassing both diversity and climate effects.Furthermore,spatial variation of climate factors(mean annual temperature and mean annual precipitation)mainly affected stand biomass through the indirect effects on tree species diversity and stand structural attributes.Overall,multiscale analyses revealed stand structural attributes dominates biomass prediction,with climate acting indirectly.Scaling biodiversity-structure strategies can enhance forest resilience under global change.Future work should integrate cross-scale mechanisms into climate-smart afforestation for sustainable carbon sequestration.
基金supported by the National Natural Science Foundation of China(No.42205178)the State Key Laboratory of Earth Surface Processes and Resource Ecology(2024-TS-05)+1 种基金the Fundamental Research Funds for the Central Universities(No.2243100009)the Tang Scholar Award.
摘要Ecological impacts of aerosols on vegetation remain highly uncertain due to their capacity for both modifying radiation and causing phytotoxic damage.China has experienced the most rapid air quality improvement globally since 2013,yet the ecosystem consequences of this governance are poorly quantified.Here,we analyzed satellite observations and reanalysis data from multiple sources covering a long period to investigate the spatiotemporal intereactions between aerosols and vegetation across China.By employing generalized linear mixed models(GLMM),we isolated the independent and relative contributions of aerosol optical depth(AOD)to vegetation dynamics.Our results reveal a pronounced divergence between the north and south:AOD suppresses vegetation growth in southern China with limited radiation,while in regions limited by water availability,it likely enhances water use efficiency and productivity by reducing surface radiation and vapor pressure deficit(VPD),thereby curtailing transpiration water loss.The impacts exhibited diverse patterns across species:nee-dleleaf forests,meadows,wetlands,and shrublands demonstrated heightened vulnerability to aerosol suppres-sion,whereas needleleaf and broadleaf mixed forests uniquely benefited from increased diffuse radiation.Notably,the gross primary productivity(GPP)of steppe ecosystems underwent a fundamental shift from a negative to a positive response to aerosols after 2013,highlighting the dynamic interactions between aerosols and ecosystems that were specific to the environment.Crucially,the GLMM quantified a significant weakening of the aerosol suppression effect after the implementation of clean air policies,with its standardized negative co-efficient on GPP declining from 0.16 to 0.10.This study provides observational evidence on a large scale that improving air quality not only alleviates environmental stress but also directly promotes ecosystem function,offering critical insights for assessing carbon neutrality policies.
基金supported by the National Key Research and Development Program of China(2025YFE0103800,2023YFE0102600,2024YFE0214200).
摘要Livestock farming is a critical pillar of Tajikistan’s national economy and livelihood security.However,significant economic challenges in the country have led to the degradation of grassland ecosystems.This degradation has not only reduced the productivity of grassland ecosystems but also severely impacted their ecological functions.A particularly concerning consequence is the threat to biodiversity,as the survival and persistence of endemic,rare,and endangered plant species are at serious risk,thereby diminishing the value of species’genetic resources.Based on the data from multiple sources such as literature reviews,field observations,and national statistics,this study employed a systematic literature review and meta-analysis to investigate the current status,causes of degradation,and restoration measures for grassland ecosystems in Tajikistan.The results revealed that Tajikistan’s grassland ecosystems support exceptionally high plant species diversity,comprising over 4500 vascular plant species,including nearly 1500 endemic and sub-endemic taxa that constitute a unique genetic reservoir.These ecosystems are experiencing severe degradation,characterized by significantly reduced vegetation cover and declining species richness.Palatable forage species are increasingly being displaced by unpalatable,thorny,and poisonous species.The primary drivers of degradation include excessive grazing pressure,which disrupts plant reproductive cycles and regeneration capacity,habitat fragmentation due to urbanization and infrastructure development,and uncontrolled exploitation of medicinal and edible plants.Climate change,particularly rising temperatures and altered precipitation patterns,further exacerbates these anthropogenic pressures.Ecological restoration experiments suggested that both ecosystem productivity and plant species diversity are significantly enhanced by systematic reseeding trials using altitude-adapted native species.These findings underscore the necessity of establishing scientifically grounded approaches for ecological restoration.
基金National Natural Science Foundation of China Youth Fund Project:Research on the Construction of Ecological Security Pattern in the Transition Zone of Nature Reserves along the Sichuan-Xizang Railway(Western Sichuan Section)(51908470).
摘要Lhasa,one of the world's highest cities,confronts the challenge of harmonizing cultural heritage preservation with ecological protection.Assessing the spatiotemporal dynamics of ecosystem service value(ESV)in its central urban area is therefore critical for informing future urban planning and land management.This study systematically analyzed land use evolution,the spatiotemporal characteristics of ecosystem services,and ecological network construction within Lhasa's central urban area.It integrated multi-source data,including Landsat remote sensing imagery from 2000,2010,and 2023,with multiple modeling methods such as the InVEST model,MaxEnt for cultural service assessment,the Minimum Cumulative Resistance(MCR)model,and circuit theory.Based on these analyses,optimization strategies were proposed.The results indicate that from 2000 to 2023,areas of cultivated land,grassland,and water bodies decreased by 7.47%,6.85%,and 0.68%,respectively,while wetland and forest areas expanded by 1.44%and 0.64%.Construction land exhibited significant expansion(12.94%),leading to an overall ESV reduction of 462.8×105yuan.Vegetation coverage was identified as the pivotal factor influencing ESV distribution,with higher values concentrated in the Lhasa River Basin and near the Lhalu Wetland,diminishing towards the urban core.Furthermore,spatial autocorrelation analysis revealed significant positive spatial clustering,with low-low aggregation in the eastern and central regions and high-high aggregation in the Lhasa River Basin and its surrounding water bodies.Moreover,based on a comprehensive ecosystem service assessment,11 ecological source sites were identified,primarily in the southwestern mountains and northeastern foothills.A comprehensive resistance surface,incorporating factors such as elevation,Normalized Difference Vegetation Index(NDVI),and land use,facilitated the extraction of 23 potential ecological corridors totaling 124.96 km in length.Topological network analysis indicated high redundancy and connectivity;however,marginal source sites relying on single connections exhibited significant vulnerability to rupture.Additionally,the application of circuit theory identified 30 ecological pinch points(current density≥1.5 A/km2)and 23 obstacle points,revealing significant blockages to ecological flow along the Qinghai-Xizang Highway,within the old city,and in other areas of high-intensity human activity.To address the identified network deficiencies—‘scattered cores,fragmented corridors,and insufficient resilience’—this study proposes an optimization strategy conceptualized as‘one vein,three corridors,and multiple cores’.Recommendations for enhancing network resilience include the delineation of ecological protection red lines,the integration of plateau-adapted technologies,and the fostering of community governance mechanisms.This approach aims to provide a scientific basis for constructing an ecological security pattern and promoting sustainable development in plateau cities.Ultimately,this research contributes to the enhancement of ecological well-being in the Himalayan region.
基金National Key R&D Program of China,No.2022YFF1302401National Natural Science Foundation of China,No.42271007。
摘要Ecosystems along the eastern margin of the Qinghai-Tibet Plateau(EQTP)are highly fragile and extremely sensitive to climate change and human disturbances.To quantitatively assess climate-induced ecosystem responses,this study proposes a Climate-Induced Productivity Index(CIPI)based on the Super Slack-Based Measure(Super-SBM)model using remote sensing data from 2001 to 2020.The results reveal persistently low CIPI values(0.47-0.53)across major ecosystem types,indicating widespread vulnerability to climatic variability.Among these ecosystems,forests exhibit the highest CIPI(0.55),followed by shrublands(0.54),croplands(0.53),grasslands(0.51),and barelands(0.43).The Theil index analysis further demonstrates significant intra-group disparities,suggesting that extreme climatic events amplify CIPI heterogeneity.Moreover,the dominant environmental drivers differ among ecosystem types:the Palmer Drought Severity Index(PDSI)primarily constrains grassland productivity,solar radiation(SRAD)strongly influences shrub and cropland systems,whereas subsurface factors exert greater control in forested regions.This study provides a quantitative framework for evaluating climate-ecosystem interactions and offers a scientific basis for long-term ecological monitoring and security planning across the EQTP.
基金supported by the Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources(KF20230801)the National Natural Science Foundation of China(42101096).
摘要Net ecosystem productivity(NEP)is a key indicator for estimating carbon sink dynamics in terrestrial ecosystems.Existing studies on carbon sink dynamics in Northwest China have uncertainties in quantifying spatiotemporal variations of NEP and their driving factors.This study estimated NEP across ecosystems in Northwest China during 2000–2020 using multi-model integration,and analyzed its spatiotemporal patterns and drivers.Results showed that the annual average NEP was 97.98 g C/(m2·a),with higher values at eastern and western margins and lower values in central hinterland.Strong carbon sink areas included the Yili River Basin and northern slope of Tianshan Mountains,while low carbon sink areas concentrated in eastern Xinjiang Uygur Autonomous Region(Eastern Xinjiang)and Alxa-Ejin Plateau.NEP trended upward from 79.22 g C/(m2·a)in 2000 to 109.03 g C/(m2·a)in 2020 with low variability and strong persistence,suggesting continuous growth.NEP significantly and positively correlated with near-infrared reflectance of vegetation(NIRv),weakly with climate factors,and negatively with socio-economic density indicators.Topographically,NEP peaked at 2.0–2.4 km elevation,15°-25°slopes,and north-facing aspects.Changes in ecosystem type significantly influenced NEP,with bare land conversion into grassland/cropland enhancing carbon sinks.Results of this study highlight the need for ecological restoration and rational land use to boost carbon sequestration in this ecologically sensitive region.
基金supported by the project“Development of Comprehensive Solutions for Environmental Management in the Northeast Coastal Waters of Viet Nam in an Age of Global Changes”(Code:NDT/ITA/2024/07)under the framework of the bilateral scientific and technological cooperation program between Vietnam and Italy(2024-2027).
摘要The Hai Phong-Ha Long coastal area,with its World Natural Heritage site of Ha Long Bay-Cat Ba islands,has been under intense pressure from rapid development to meet the socio-economic goals set by Hai Phong City and Quang Ninh Province.As such,urgent land needs for infrastructure construction of economic sectors and urbanization have led to intensive coastal reclamation and seafill leveling,and their environmental consequences.The objective of this study is to assess the adverse environmental effects of coastal reclamation in the Hai Phong—Ha Long area,focusing on ecosystems,environmental quality,and seabed morphology at a regional scale.To achieve this objective,the study employed the regular techniques of environmental assessment methods,such as checklists,matrices,network diagrams,and overlay maps,to appraise these environmental consequences.The results show three main impacted natural components,including coastal ecosystems,environmental qualities,and morphological seabeds,besides coastline changes and socio-economic issues.The most impacted component was coastal ecosystems,followed by the coastal environmental qualities of seawater and sediments,and then the morphological seabed.Based on the study results,it is recommended that during the development of an integrated coastal management plan for the coastal area of Hai Phong–Ha Long,environmental issues of coastal reclamation and seafill leveling must be given much attention.
基金supported by the Shandong Provincial Natural Science Foundation(ZR2024QD207,ZR2024ME171)the China Postdoctoral Science Foundation(2025MD774146)+2 种基金the Special Funds for Basic Scientific Research Business Expenses at Central-level Public Welfare Scientific Research Institutes(IDM2024001)the New Talent Research Project University of Jinan(XJ2024011901)the Science and Technology Development Fund of the Chinese Academy of Meteorological Sciences(2021KJ034).
摘要The Yellow River Basin(YRB),located in the mid-latitude region of China,encompasses diverse ecosystem types and is highly sensitive to climate change.However,the temporal patterns and environmental drivers of net ecosystem CO2exchange(NEE)across multiple time scales remain poorly understood.Using eddy covariance observations from the ChinaFLUX network collected between 2003 and 2020,this study investigated the temporal dynamics of NEE and its primary environmental controls in five representative ecosystem types within the YRB and its adjacent 100-km buffer zone:cropland,forest,grassland,shrubland,and wetland ecosystems.The results showed that all five ecosystems exhibited a generally U-shaped diurnal pattern from May to September,characterized by net CO2uptake during the daytime and net CO2release at night.At the daily scale,cropland displayed a typical bimodal carbon uptake pattern,whereas forest ecosystem exhibited the greatest day-to-day variability in NEE.In contrast,grassland,shrubland,and wetland ecosystems showed relatively smooth daily fluctuations.The net CO2source-sink functions derived from NEE differed substantially among ecosystem types.Forest ecosystems acted as the most stable and persistent carbon sinks,whereas croplands exhibited short-term but high-intensity carbon uptake.Wetlands showed pronounced interannual variability,including an extreme net CO2release event at the Haibei wetland site in 2007.Grassland and shrubland ecosystems were more susceptible to environmental stress and could shift from net CO2sinks to net CO2sources during drought years.The environmental controls on NEE exhibited clear time-scale dependence.At the half-hourly scale,photosynthetically active radiation(PAR)was the dominant driver of NEE variability,the influence of temperature increased progressively from the daily to monthly scales.These findings improve the understanding of regional carbon dynamics in the YRB,provide insights into the net CO2source-sink status of different ecosystem types,and elucidate the mechanisms regulating ecosystem CO2exchange across multiple temporal scales.
基金supported by the Scientific Research Basic Ability Improvement Project for Young and Middleaged Teachers in Guangxi Universities,China,“Research on Digital Marketing of Characteristic Agricultural Products in Western Guangxi”(Grant No.2024KY0740)Scientific Research Basic Ability Improvement Project for Young and Middle-aged Teachers in Guangxi Universities,China:“Research on Industrial Revitalization Promoting High-Quality Development of Rural Economy in Guangxi under the Concept of Transportation-Tourism Integration”(Grant No.2024KY0743)+1 种基金Guangxi Higher Education Undergraduate Teaching Reform Project:“Reform and Practice of a‘Three-Line Five-Step’Virtual Simulation Teaching Mode for the Financial Sharing Course Based on Inquiry-Based Learning”(Grant No.2024JGB355)Guangxi Philosophy and Social Sciences Research Annual Project:“Research on the Mechanism and Path of Service Talent Team Building for Guangxi Community Elderly Care Service Complexes”(Grant No.24GLF012).
摘要Expanding economic potential and protecting the environment,while facing mounting climate and biodiversity stress,is becoming the challenge of environmental resource management.This review explores developments and ongoing obstacles in six areas of resource of the Sustainable Development Goal(SDG)that include water;land,soils,and food systems;forests and terrestrial carbon biodiversity governance;oceans,coasts,and fisheries;biodiversity connectivity;and extractives and energy-transition supply chains.Most of the interventions continue to ignore ecological thresholds,accruing effects,and cross-system feedbacks,whereas monitoring systems focus on measures of activity rather than confirmed results.Conversely,sustained improvement is most frequently associated with integrated governance,which incorporates open measurement,implementation,rights-based participation,and fair distribution of benefits.Local conservation is often overwhelmed by market forces of demand and structural forces,including subsidies,supply chains,and investment in infrastructure,which fail to stop leakage or war,unless accountability mechanisms are in place.Climate change also aggravates set baselines and puts forward the importance of adaptive regulation,spatial planning,and diversified portfolios,which combine engineered reliability with ecosystem resilience.The review brings out current SDG priorities,which include outcome-based indicators,causal evaluation,governance structures that enhance legitimacy,and transition planning that harmonizes the mineral sourcing,renewable deployment,biodiversity,and water limits.Combined,these observations indicate that striking the balance between ecology and economy is possible when ecological boundaries are under consideration as binding constraints and equity is perceived as a source of sustainability.