应用生态学报最新文献

{"title":"[Effects of enclosure aquaculture of hairy crab on CO₂ and CH₄ emission in Yangcheng Lake wetland.]","authors":"Xin-Yan Shen, Ran Guo, Yu-le Zhang, Jia-Wen Zhao, Xi Gu, Rui-Nan Wang, Min Liu, Min-Jie Hu, Dong-Yao Sun","doi":"10.13287/j.1001-9332.202609.056","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202609.056","url":null,"abstract":"<p><p>Enclosed aquaculture of hairy crab is an important intensive aquaculture model in freshwater lakes of China. However, there remains a lack of systematic understanding regarding its impact on greenhouse gas emissions and the underlying mechanisms. In this study, we investigated the effects of enclosed aquaculture on CO₂ and CH₄ concentration, diffusion flux and the key regulatory factors by field observation in Yangcheng Lake during the breeding and non-breeding periods, combined with headspace equilibrium gas chromatography method and molecular biological technique. The results showed that Yangcheng Lake was a net emission source of atmospheric CO₂ and CH₄, with significant spatial and temporal heterogeneity in emission intensity. During the breeding period, the CO₂ emission of breeding area, non-breeding area, and drainage area were 152.16, 81.59, and 71.19 μmol·L^-1, while CO₂ diffusion fluxes were 204.32, 61.59 and 41.72 mg·m^-2·h^-1, respectively. CO₂ diffusion flux in the breeding area was significantly higher than that in the non-breeding and drainage area. During the non-breeding period, CO₂ emission in the three areas were 68.86, 59.51, and 101.92 μmol·L^-1, while CO₂ diffusion fluxes were 7.04, 14.51, and 69.74 mg·m^-2·h^-1, respectively, with the drainage area being the strongest emission source. The CH₄ concentration and diffusion fluxes exhibited a pattern of drainage area > breeding area > non-breeding area in both periods, indicating that the drainage area was the area with the highest CH₄ emission throughout the year. Random forest analysis and structural equation modelling revealed that Chl-a, pH, dissolved organic carbon and total nitrogen were key factors regulating CO₂ emission, while CH₄ emission were primarily driven by dissolved organic carbon, NH₄⁺-N and the <i>mcrA</i>/<i>pmoA</i> ratio. In conclusion, hairy crab breeding activities significantly enhanced greenhouse gas emission, and thus the drainage system should be considered in the greenhouse gas assessment.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"37 9","pages":"3159-3168"},"PeriodicalIF":0.0,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149168267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[A wetland identification method based on hydrological response unit connectivity.]","authors":"Ze-Yu Wei, Nan Gou, Xiao-Cong Qiu, Hong-Fei Hou, Zeng-Feng Zhao, Cheng Xu","doi":"10.13287/j.1001-9332.202609.035","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202609.035","url":null,"abstract":"<p><p>Wetland identification is a fundamental prerequisite for the conservation, ecological restoration, and basin-scale water resources management of wetlands. Conventional remote-sensing-based wetland identification mainly relies on surface spectral information and is susceptible to intra-class spectral variability, inter-class spectral similarity, ambiguous boundaries, and seasonal hydrological fluctuations. It is therefore difficult to reveal the hydrological processes underlying wetland formation and maintenance. To address these limitations, we proposed a refined wetland identification method at the hydrological response unit (HRU) scale oriented toward hydrological connectivity. With Weihe River Basin as a validation area, we examined the applicability of this method in a complex watershed environment. Based on daily HRU-scale hydrological fluxes simulated by the SWAT+ model, we calculated nine dimensionless hydrological connectivity indicators and integrates particle swarm optimization with support vector machine to adaptively determine the classification boundaries of river-fed wetlands, temporary water-supply wetlands, groundwater-fed wetlands, and non-wetlands in a high-dimensional feature space. The identification performance was evaluated through reference validation, typical-area image comparison, and hydrological physical consistency assessment. SHAP analysis showed that the evapotranspiration ratio, detention storage coefficient, channel runoff proportion, and lateral flow ratio were the major contributing features in the identification process. Validation results in the Weihe River Basin showed that the receiver operating characteristic curve values (ROC-AUC) of the three wetland types were all close to 0.90, while the overall accuracy of binary wetland-non-wetland identification was approximately 77.8%. Spatially, wetlands were mainly distributed in a network pattern along the main stem of the Weihe River and its tributaries in Shaanxi Province. During 2018-2022, the average wetland proportion was 3.2% in summer and 0.9% in winter. River-fed wetlands accounted for a multi-year average proportion of 72.0%, making them the dominant wetland type, whereas temporary water-supply wetlands and groundwater-fed wetlands occupied relatively smaller proportions. The results indicated that the proposed method could effectively characterize the spatial extent, type structure, and dynamic changes of wetlands at the basin scale. It would facilitate a shift in wetland identification from \"spectral discrimination\" to \"process diagnosis\" and thus provide a new technical pathway for the conservation, ecological restoration, and water resources management of wetlands.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"37 9","pages":"3215-3228"},"PeriodicalIF":0.0,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149167402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Enhancement effects of ecological restoration on vegetation carbon storage in Sihong Hongze Lake wetland, Jiangsu Province, and the temporal variations.]","authors":"Ming Zhang, Chun Yang, Min-Chuan Nie, Ru-Meng Hao, Qin Qiu, Xiao-Song Zhao, Xiao-Long Wang, Yong-Jiu Cai, Zhi-Qiang Tan","doi":"10.13287/j.1001-9332.202609.032","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202609.032","url":null,"abstract":"<p><p>Vegetation carbon storage is an important indicator for evaluating carbon sequestration benefits of ecologi-cal restoration. While most available studies have relied on static comparisons before and after restoration, direct quantitative evidence remains limited regarding the dynamics in vegetation carbon storage and its temporal response during restoration. Taking the Jiangsu Sihong Hongze Lake National Wetland Nature Reserve as the study area, we constructed a 30 m reflectance series for 2020-2025 using multi-source remote sensing data. Combined with fine classification of eight dominant vegetation communities and type-specific biomass inversion models, we systematically estimated the spatiotemporal patterns of vegetation carbon storage in the reserve and quantitatively evaluated the carbon enhancement effects of 14 ecological restoration projects initiated successively during 2019-2023. The results showed that the mean of the annual baseline vegetation carbon storage during 2020-2025 was 0.18 × 10⁶t C, and the value in 2025 was 0.15 × 10⁶t C. Spatially, vegetation carbon storage exhibited a pattern of being higher in the lakeshore zone and lower in the open lake area. With the project initiation year as the baseline and 2025 as the unified comparison time point, we found that the 14 restoration projects showed a net increase of 1429.25 t C in vegetation carbon storage relative to their baseline years, with an average carbon gain of 2.75 t C·hm^-2. In the key restoration area where the Yangmaozui degraded wetland ecological restoration project Phase II and species conservation-related projects were located, four projects covering approximately 233.33 hm² generated a cumulative carbon increase of 713.12 t C, with an average gain of 3.06 t C·hm^-2. Based on a comparison by restoration duration up to 2025, the projects were divided into four groups of 2, 3, 4, and 5 years. The 2-year group still showed a short-term net decrease in vegetation carbon storage, with a mean change of -1.59 t C·hm^-2. In contrast, the 3-, 4-, and 5-year groups all showed carbon enhancement, with mean net increases of 7.77, 6.01, and 1.79 t C·hm^-2, respectively. These results indicated that the enhancement of vegetation carbon storage by ecological restoration in shallow lake wetlands would not become stable immediately after implementation, but gradually emerge through vegetation recovery and community reconstruction. This study could provide quantitative evidence for understanding the carbon enhancement process of ecological restoration in lake wetlands and offer a scientific basis for restoration performance evaluation and carbon-oriented management.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"37 9","pages":"3085-3097"},"PeriodicalIF":0.0,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149170641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Fishery resource biodiversity and sustainable utilization in mangrove wetlands.]","authors":"Xiao-Yan Lu, Yi-Yuan Lin, Zi-Yin Gong, Wen-Xiao Su, Zhen-Yu Wang, Long Wei, Jian-Xiang Feng","doi":"10.13287/j.1001-9332.202609.046","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202609.046","url":null,"abstract":"<p><p>Mangrove wetlands are important ecotone linking terrestrial and marine ecosystems and provide essential habitats that maintain coastal fishery resource diversity and ecosystem functioning. With increasing global concerns on mangrove conservation and restoration, the protection and sustainable utilization of mangrove fishery resources have become important research topics. We summarized the composition and community structures of fishery biological resources in mangrove wetlands, elucidated the ecological roles of mangrove habitats in sustaining fishery resources, reviewed methodological advances ranging from traditional surveys to emerging technologies such as environmental DNA (eDNA) and remote sensing, and explored the effectiveness of sustainable utilization models, including ecological aquaculture and resource management strategies. Research on mangrove fishery resources has undergone several important transitions, including a shift from resource surveys and production assessments to investigations of ecological functions and ecosystem services, from local community studies to analyses of landscape connectivity and regional ecological processes, and from conventional surveys to integrated monitoring frameworks incorporating eDNA, remote sensing, and intelligent technologies. Resource utilization strategies have shifted from simple exploitation toward the coordinated development of ecological conservation, ecosystem restoration, and fishery production. These transitions indicate that mangrove fishery resource research is moving toward a new stage centered on ecosystem integrity and sustainable utilization. However, insufficient long-term monitoring, limited understanding of ecological processes, and inadequate coordination between conservation and resource management remain major challenges. Future efforts should focus on strengthening long-term monitoring and studies associated with ecological processes, to promote the synergistic development of resource conservation, ecological restoration, and coastal livelihoods.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"37 9","pages":"3053-3065"},"PeriodicalIF":0.0,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149171525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Spatiotemporal variations of dissolved CO₂ concentration and its water-air flux along a tidal creek of coastal wetland in Minjiang River Estuary.]","authors":"Jun-Wei Wang, Wen-Jing Liu, Shu-Ping Lin, Qian Zhu, Li-Hua Wang, Dong-Yao Sun, Chuan Tong, Ping Yang","doi":"10.13287/j.1001-9332.202609.055","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202609.055","url":null,"abstract":"<p><p>Tidal creeks are ubiquitous in coastal wetlands and act as key conduits for the transport of nutrients and carbon, making them potential hotspots for greenhouse gas emissions. Nevertheless, the spatiotemporal patterns and controlling factors of greenhouse gas emissions from tidal creeks remains rather limited. To investigate the spatiotemporal patterns of dissolved CO₂ concentration (<i>C</i>_CO₂), water-air CO₂ flux (<i>F</i>_CO₂), and the environmental controls, we conducted multi-seasonal observations along spatial transects in the main tidal creek within the Shanyutan Wetland of the Minjiang River Estuary, southeastern China. Results showed that the <i>C</i>_CO₂ in the tidal creek water ranged from 13.81 to 82.55 μmol·L^-1, with saturations between 105.6% and 548.8%, indicating a supersaturated state. Over the observation period, the tidal creek served as a net carbon source, with CO₂ fluxes varying from 0.03 to 2.93 mmol·m^-2·h^-1. Spatially, the <i>C</i>_CO₂ and <i>F</i>_CO₂ reached their maxima at the landward end and exhibited a significant decreasing trend along the land-to-sea direction. Dissolved organic carbon, total dissolved organic nitrogen, salinity, and dissolved oxygen were the dominant factors driving the spatial variations of <i>C</i>_CO₂ and <i>F</i>_CO₂. Seasonally, both <i>C</i>_CO₂ and <i>F</i>_CO₂ exhibited a distinct seasonal pattern of autumn>winter>summer>spring, which was co-regulated by the seasonal rhythm of external loading, tidal mixing intensity, and the seasonal succession of phytoplankton photosynthesis. This study highlighted the necessity of including tidal creek water carbon emissions in coastal wetland carbon budgets, and underscored the importance of accounting for their spatiotemporal variability to enhance the accuracy and comprehensiveness of regional carbon sink evaluations.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"37 9","pages":"3121-3130"},"PeriodicalIF":0.0,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149169905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Conceptual clarification of ecosystem stability: Core dimensions, organizational levels, and scale characte-ristics].","authors":"Tao Yang, Hai-Tao Wu, Jing Jiang, Chun-Guang He, Lian-Xi Sheng, Tao Ren","doi":"10.13287/j.1001-9332.202609.041","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202609.041","url":null,"abstract":"<p><p>Ecosystem stability is characterized by multidimensionality, hierarchical organization, and scale dependence. The lack of a clear conceptual framework has often led to confusion. We systematically examined the connotations, core dimensions, organizational levels, and spatiotemporal scale dependencies of ecosystem stability. In a narrow sense, ecosystem stability commonly refers to temporal stability of productivity, which is typically quantified as the ratio of the mean to the standard deviation of productivity (the inverse of the coefficient of variation). In a broader sense, ecosystem stability represents the overall capacity of ecosystems to maintain key structure, function, and ecosystem service provision under fluctuated environmental conditions, external disturbances, and long-term changes. It encompasses, at least, several dimensions, including resistance, recovery, resilience, persistence, invariability, and multi-stability. Based on the broad conceptual framework of ecosystem stability, we reviewed the definitions and major research advances from three perspectives: structure and function, different levels of ecological organization, and spatiotemporal characteristics. We further summarized and clarified the multidimensional and multilevel conceptual system of ecosystem stability. Current studies on ecosystem stability still face several major challenges: diverse but inconsistent definitions, numerous indicators lacking integration, a stronger emphasis on functional stability than structural stability, and insufficient understanding of cross-scale stability mechanisms due to the prevalence of single-scale studies. Future research should establish a unified conceptual framework and standardized indicator system for ecosystem stability, while further strengthening investigations into structure-function coupling, cross-level transmission mechanisms among ecological organizational hierarchies, relationships across spatiotemporal scales, and comprehensive assessments of multidimensional ecosystem stability.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"37 9","pages":"2853-2870"},"PeriodicalIF":0.0,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149169210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Applications of remote sensing big data in wetland monitoring:Current status, challenges, and prospects].","authors":"Hui Ye, Yan-Yan Li, Xin-Xin Wang, Ying Liu, Yu-Han Zheng, Xi Zhang, Hong-Yang Chen, Yong-Chao Liu, Ming Nie, Bo Li","doi":"10.13287/j.1001-9332.202609.036","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202609.036","url":null,"abstract":"<p><p>Wetlands are critical ecosystems that support hydrological and climate regulation, biodiversity conservation, and ecological security. However, under the combined pressures of climate change and human activities, global wetlands are increasingly facing severe area loss, functional degradation, and habitat fragmentation. With the advantages including long-term time-series records, broad spatial coverage, and multi-source observations, remote sensing big data provide essential technical support for identifying wetland degradation, monitoring dynamic changes, tracking restoration processes, and enabling risk early warning. We systematically reviewed the current applications, technical approaches, assessment frameworks, and future development directions of remote sensing big data in wetland monitoring. First, we sorted out the characteristics of remote sensing big data sources and their applicability in wetland monitoring. Second, we comparatively analyzed recent advances in wetland information extraction techniques based on spectral features, temporal characteristics, machine learning, deep learning, and multi-source data fusion. Third, from the perspectives of hydrological processes, vegetation function, landscape structure, and temporal stability, we constructed a remote sensing-based assessment framework for monitoring wetland degradation and restoration, and explored its applications in degradation diagnosis, restoration trajectory tracking, effectiveness evaluation, and instability early warning. Finally, we identified key challenges in current applications, including difficulties in integrating massive heterogeneous datasets, limitations in spatiotemporal resolution, the complexity of wetland surface conditions, and insufficient ecological interpretation. Accordingly, we proposed future development pathways involving multi-source sensor synergy, model construction for complex scenarios, multi-factor environmental assessment, and innovation in governance models. This review would provide theoretical references and technical guidance for whole-process monitoring of wetland degradation and restoration, evaluation of ecological conservation and restoration, and intelligent wetland governance.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"37 9","pages":"2929-2944"},"PeriodicalIF":0.0,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149169582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Research advances in root-derived carbon inputs and stabilization mechanisms in floating marshes.]","authors":"Xue-Hong Li, Xiao-Yan Zhu, Xiao-Meng Yang, Qi-Xin Wang, Tong Zhang, Dong Dong, Hong-Yan Shen, Xiao-Fei Yu","doi":"10.13287/j.1001-9332.202609.038","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202609.038","url":null,"abstract":"<p><p>Lake terrestrialization is a distinctive successional phase through which open-water ecosystems gradually transition into marsh-dominated wetlands. In floating marshes, intertwined roots and rhizomes form buoyant, peat-like mats that underpin marsh formation and persistence while serving as important interfaces for carbon input, transformation, and stabilization. Compared with typical peatlands and freshwater marshes, the input and stabilization mechanisms of root-derived carbon in floating marshes remain poorly understood. We reviewed current know-ledge of floating-marsh root traits and ecological adaptations and analyzed major root-derived carbon inputs arising from fine-root, coarse-root, and rhizome turnover, belowground residue accumulation, and rhizodeposition. We further highlighted three major stabilization mechanisms: 1) the enzyme-latch mechanism, driven by phenol oxidase inhibition and phenolic accumulation under anoxic peat conditions, together with the iron-gate mechanism associa-ted with iron redox cycling; 2) radial oxygen loss-mediated rhizosphere iron plaque formation and the associated \"rusty sink\" process; and 3) microbial transformation of root exudates into metabolic products and necromass, with implications for rhizosphere priming and microbial entombment. This review would provide a theoretical basis for evaluating the carbon sink function of floating marshes.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"37 9","pages":"3000-3008"},"PeriodicalIF":0.0,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149170347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Responses of wetland gross primary productivity to extreme climate events in China during 2001-2023.]","authors":"Ming-Yi Xia, Heng-Xing Xiang, De-Hua Mao, Ling Luo, Zong-Ming Wang","doi":"10.13287/j.1001-9332.202609.023","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202609.023","url":null,"abstract":"<p><p>Extreme climate events can substantially affect gross primary productivity (GPP) and the stability of carbon sinks of wetlands by altering hydrothermal conditions. However, national-scale evidence on how wetland GPP responds to different types of extreme climate events across China remains insufficient to support adaptive wetland ecosystem management. We focused on wetland vegetation across China and combined sensitivity analysis with partial correlation analysis to quantify the response intensity and dominant controls of wetland GPP to extreme climate events during 2001-2023, and further analyzed the lag characteristics of wetland GPP responses. The distributed lag models were applied to assess the duration and direction of the persistent effects of extreme climate events. The results showed that extreme climate events showed pronounced regional heterogeneity during 2001-2023, with precipitation-related extreme events exhibiting stronger spatial variability than temperature-related extreme events. Nationally, 98.7% of wetland pixel GPP showed an increasing trend (Sen slope <i>β</i>_sen <i></i>ranging from 2.112 to 18.640 g C·m^-2·a^-2). Among them, the proportion of pixels with significant GPP changes in the northern temperate wetlands accounted for the highest percentage (48.3%) of the wetland area in this subregion. Warm days (TX90p) and consecutive wet days (CWD) significantly increased the GPP detrended anomaly by 18.26 g C·m^-2·a^-1 and decreased by 34.99 g C·m^-2·a^-1, respectively. TX90p was the dominant climatic control over wetland GPP variability (partial correlation coefficient ranging from 0.180 to 0.488). Wetlands in temperate zones and the plateau region were most sensitive to extreme heat events (with sensitivity coefficient <i>β</i> of TX90p ranging from 0.376 to 0.648). By contrast, subtropical and tropical wetlands were more strongly controlled by precipitation-related extremes (with <i>β</i> of the maximum 5-day precipitation amount ranging from -0.516 to -0.366). Wetland GPP responded synchronously to extreme climate events, exhibiting significant negative memory effects for extreme heat and drought events, a significant positive memory effect for extreme precipitation events, and a negative but non-significant memory effect for extreme cold events. These findings advanced our understanding of wetland GPP responses to extreme climate events and would provide scientific support for assessing wetland carbon-sink stability and informing wetland conservation under increasing climate-extreme risks.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"37 9","pages":"3189-3204"},"PeriodicalIF":0.0,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149168379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Impact of reclamation of <i>Cyperus malaccensis</i> wetland into aquaculture ponds on soil denitrification potential in the Minjiang River Estuary].","authors":"Yu-Hang Zeng, Qian Zhu, Ping Yang, Wen-Jing Liu, Chuan Tong, Yong-Xin Lin, Hong Yang","doi":"10.13287/j.1001-9332.202609.043","DOIUrl":"https://doi.org/10.13287/j.1001-9332.202609.043","url":null,"abstract":"<p><p>Land reclamation for aquaculture, a major driver of coastal wetland degradation and loss, may influence nitrogen biogeochemical cycling at the region scale. Using acetylene inhibition method, we measured soil denitrification potential (SDP) of a <i>Cyperus malaccensis</i> marsh and the converted earthen aquaculture pond in the Shanyutan wetland of the Miniiang River Estuary, southeastern China. Results showed that, compared with the <i>C. malaccensis</i> marsh, the conversion of coastal wetlands into aquaculture ponds significantly reduced SDP by 61.2% to 71.7%. Total soil carbon, total nitrogen, NO₃^--N, and NH₄⁺-N in pore water significantly decreased by 5.1%, 62.3%, 64.8%, and 53.6%, respectively. The abundances of four denitrification functional genes (<i>nirK, nirS, nosZ</i>Ⅰ, and <i>nosZ</i>Ⅱ) significantly decreased by 85.7%, 92.6%, 91.6%, and 94.1%, respectively, while soil carbon-to-nitrogen ratio significantly increased by 170.4%. Random forest analysis identified soil total nitrogen, porewater NO₃^--N and NH₄⁺-N, and the abundances of <i>nirK</i> and <i>nirS</i> genes as the main factors driving the variation in SDP following the wetland conversion. Overall, reclamation for aquaculture markedly suppressed soil denitrification potential, which in turn diminished the coastal wetland's natural nitrogen removal and its buffering capacity against exogenous nitrogen loading, consequently raising the risks of nitrogen retention and eutrophication under equivalent nitrogen inputs.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"37 9","pages":"3141-3150"},"PeriodicalIF":0.0,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149169545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}