Ecological Modelling最新文献

{"title":"Growing at the edge: Modelling sapling colonization, performance, and effective range of mountain birch (Betula pubescens ssp. tortuosa)","authors":"Anna Mariager Behrend ,&nbsp;Arne Pommerening","doi":"10.1016/j.ecolmodel.2025.111073","DOIUrl":"10.1016/j.ecolmodel.2025.111073","url":null,"abstract":"<div><div>Colonization of trees from existing woodlands into adjacent open lands is a critical process of passive restoration, leading to the formation of secondary woodlands. Important drivers of this process include sheltering from surrounding woodlands, which can affect both the spatial range of colonization and the performance of individual saplings. In this study we analysed the effects of sheltering and canopy height on the patterns of natural colonization and individual sapling performance of mountain birch (<em>Betula pubescens</em> ssp. <em>tortuosa</em>) in different regions of Iceland. We measured sapling densities and individual sapling morphology along transects, and modelled colonization using hyperbolic kernel functions. We subsequently used these colonization kernels to define and calculate the effective spatial range for mountain birch colonization. The results showed a clear effect of regional environments on the performance of mountain birch saplings. The effective spatial range of colonization varied greatly between regions, ranging from 16.6 m in areas with birch of low stature, to 67.4 m in the region with the tallest, straightest stems. We furthermore saw that individual sapling performance was a direct product of sheltering, as one kernel function parameter was significantly correlated with the tree morphology index used in this study. Our results highlighted the importance of sheltering from surrounding woodlands on both colonization patterns and on individual sapling performance, though sheltering effects are generally low in Iceland. This should be considered in research as well as practice by combining natural colonization with efficient localized planting. The effective spatial range can aid in finding an appropriate balance between these two restoration methods.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"503 ","pages":"Article 111073"},"PeriodicalIF":2.6,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Climate warming will significantly affect future restoration and level of ecosystem services in Lake Erhai","authors":"Bo Qin ,&nbsp;Min Xu ,&nbsp;Kexin Zhu ,&nbsp;Yanjie Zhao ,&nbsp;Enlou Zhang ,&nbsp;Rong Wang","doi":"10.1016/j.ecolmodel.2025.111067","DOIUrl":"10.1016/j.ecolmodel.2025.111067","url":null,"abstract":"<div><div>Freshwater ecosystems have been degraded under the recent impacts of global warming and human activities. Reducing external nutrient loadings is the primary strategy for restoring lake state and ecosystem services, but overlooking the impact of warming may hinder its long-term effectiveness. In order to investigate such an impact, this study simulated potential ecosystem responses between 2020 and 2050 using the PCLake model in a typical lake under restoration (Lake Erhai) in southwestern China. Calibrated based on observations from 1990 to 2020, the model could well simulate the long-term changes in Lake Erhai, including the regime shift around 2002. Under further bivariate scenarios, results of current nutrient input showed that warming above 1.2 °C would cause declines of macrophyte coverage 0–7 years in advance. In 2050, the overall change of ecosystem services would be positive if warming remains below 1.2 °C but negative if warming exceeds 2.2 °C. The above warming levels could be viewed as delineations of the safe and dangerous warming zones for ecosystem status and service in Lake Erhai under current restoration strength. The impact of warming would be more intuitive under the absence of nutrient control, i.e., both slow and fast warming would advance macrophyte decline and decrease overall ecosystem services. This study combined perspectives of regime shift and ecosystem service loss to highlight the need for climate-adaptive management, which may provide a new research paradigm to evaluate warming impacts on lake restorations beyond the study site.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"503 ","pages":"Article 111067"},"PeriodicalIF":2.6,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143519000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Canary palms in rural areas as invasion bridges: Exploring simulated red palm weevil spread across date palm plantations","authors":"Eitan Goldshtein ,&nbsp;Victoria Soroker ,&nbsp;Asaf Sadeh ,&nbsp;Yafit Cohen","doi":"10.1016/j.ecolmodel.2025.111071","DOIUrl":"10.1016/j.ecolmodel.2025.111071","url":null,"abstract":"<div><div>The red palm weevil, <em>Rhynchophorus ferrugineus</em>, (RPW) is an invasive pest that causes significant damage to date palms (<em>Phoenix dactylifera</em> L.) in agricultural plantations and to Canary palms (<em>P. canariensis</em>) in residential areas. Canary palms provide a higher-quality habitat for RPW than date palms. However, little is known about how RPW spreads between these palm species —whether it disperses randomly or host oriented. To explore how variation in Canary palm density affects RPW spread, we developed a coupled map lattice simulation model in artificial landscapes with alternating date palm plantations and villages, represented as patches with varying densities of Canary palms that enhance habitat connectivity between the date plantations. Dispersal between cells occurs based on cell scores that account for host abundance, dispersal behavior, and RPW attraction to palm hosts (oriented dispersal). Our results show that RPW spread rates are influenced by both cell scores and Canary palm densities. In landscapes with low Canary palm density, RPW spreads were limited under random dispersal. However, with a low degree of oriented dispersal, spread rates increase sharply with increasing Canary palm densities, and leveling off at the highest densities, suggesting that RPW uses these palms as stepping-stones to reach distant date plantations. At higher degrees of oriented dispersal, spread rates remain stable at low Canary palm densities, then increase linearly at higher densities. The sensitivity analysis highlighted key knowledge gaps on RPW dispersal, emergence patterns from different palm species, and the relative susceptibility of these species to infestation.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"503 ","pages":"Article 111071"},"PeriodicalIF":2.6,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bush encroachment with climate change in protected and communal areas: A species distribution modelling approach","authors":"Thabang Maphanga ,&nbsp;Cletah Shoko ,&nbsp;Mbulisi Sibanda ,&nbsp;Blessing Kavhu ,&nbsp;Corli Coetsee ,&nbsp;Timothy Dube","doi":"10.1016/j.ecolmodel.2025.111056","DOIUrl":"10.1016/j.ecolmodel.2025.111056","url":null,"abstract":"<div><div>Savanna rangelands have experienced widespread degradation due to bush encroachment, raising significant concerns among conservationists and rural communities. In the context of climate change, these ecosystem shifts are likely to intensify, especially in South Africa's semi-arid regions. Understanding the impacts of climate variability and change on species distribution within these rangelands is crucial for mitigating further ecosystem disruption. Environmental factors, along with climatic variables, can accelerate the process of bush encroachment, threatening both biodiversity and land use. Early identification of areas vulnerable to invasion is key to developing effective and cost-efficient management strategies. This study aims to model the distribution of invasive species across protected and communal landscapes under long-term climate change projections. A Random Forest (RF) model produced the highest accuracy metrics for Area under the curve (AUC) = 0.99 and True Skill Statistic (TSS)=0.97, while a MaxEnt model recorded the second highest AUC (0.98) and TSS (0.97). The results show a clear difference between the current and future scenarios of the spatial distribution in all the models. Applying a species distribution model (SDM) using both MaxEnt and RF produced a higher degree of prediction accuracy because RF is susceptible to overfitting training data while MaxEnt can produce predictable and complex results. Moreover, the overall predictions using the ensemble model demonstrated an increase in areas suitable for encroachment under RCP 8.5 but a decrease in the bush encroachment rate under RCP 2.6. These findings underscore the critical need for proactive management strategies to mitigate bush encroachment, particularly under high-emission scenarios, ensuring the sustainability of semi-arid savanna rangelands in the face of climate change.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"503 ","pages":"Article 111056"},"PeriodicalIF":2.6,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hybrid modeling approaches for accurate greenhouse climate prediction: Combining mechanistic models and LSTM neural networks","authors":"Yuanhong Xiong ,&nbsp;Yuanping Su","doi":"10.1016/j.ecolmodel.2025.111059","DOIUrl":"10.1016/j.ecolmodel.2025.111059","url":null,"abstract":"<div><div>An accurate greenhouse climate model is crucial for controller design, energy consumption, and crop yield prediction. However, for a given greenhouse, considerable cost and time are required to study the thermal and mass transfer processes needed to construct an accurate greenhouse climate mechanistic model. To explore highly efficient modeling methods for greenhouse climate, this study proposes two hybrid modeling methods that combine mechanistic modeling with neural networks. The first method establishes a residual dataset for the greenhouse environment using mechanistic models and trains this residual model with an LSTM neural network. The second method employs LSTM neural networks and mechanistic models to predict greenhouse climate, then weights and combines the predictions from both models to achieve more accurate forecasting of greenhouse climate. In these two hybrid models, the mechanistic models use optimization algorithms for parameter identification and are validated with data from four different periods. A comparison of the results from the mechanistic model and the LSTM greenhouse climate prediction model shows that the neural network residual correction model exhibits better prediction accuracy and generalization capability in handling uncertain climate environment data. In contrast, the weighted fusion model places higher demands on the base models and shows considerable uncertainty in adaptability to different environments. The developed models in this study not only improve the prediction accuracy of greenhouse climate but also enhance the capability to handle complex and changing climatic conditions, thereby providing reliable decision-making support for greenhouse management and agricultural production.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"503 ","pages":"Article 111059"},"PeriodicalIF":2.6,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143471386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modelling system dynamics as a socio-ecological perspective to support human-beaver interactions","authors":"Anna Treves ,&nbsp;Giovanni Zenezini ,&nbsp;Elena Comino","doi":"10.1016/j.ecolmodel.2025.111057","DOIUrl":"10.1016/j.ecolmodel.2025.111057","url":null,"abstract":"<div><div>Beavers are semi-aquatic mammals that significantly impact on freshwater ecosystems, creating benefits and challenges, particularly in areas with close human interaction. Managing human-beaver interactions is a multifaceted issue due to the many variables involved, but the complexity of these interactions can be analysed effectively using system dynamics models. These models are used in many contexts, including wildlife management, to simulate a variety of management policies and assess their effects. The present study addressed gaps in the literature by developing a system dynamics model that examined both the benefits and conflicts that arise from human-beaver interactions. The model, implemented using Vensim PLE software, synthesised qualitative and quantitative data to simulate four simulation scenarios: ecological, social, economic, and policy making. The study examined the dynamics of beaver populations, ecosystem service provision, social perceptions, and management strategies in a case study of the Ivrea lakes area in the Piedmont region (Italy). Model predictions highlights that beaver populations stabilized logistically, influencing ecosystem services and residual capital, while social acceptance stongly reduced management costs and social pressure. Optimal budget allocation and combined strategies emerged as key to sustainable management and conflict mitigation. Overall, predictions suggest that an integrated approach that prioritises prevention and actively engages local communities can improve both ecological outcomes and social acceptance of beavers. The model is a useful decision and discussion tool for assessing management strategies and facilitating stakeholder involvement. Future studies should expand on these results by exploring additional beaver-related conflicts and benefits in diverse contexts.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"503 ","pages":"Article 111057"},"PeriodicalIF":2.6,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143463513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating equity and justice in marine ecosystem models: An incremental but meaningful approach","authors":"Sieme Bossier,&nbsp;Andrés M. Cisneros-Montemayor","doi":"10.1016/j.ecolmodel.2025.111058","DOIUrl":"10.1016/j.ecolmodel.2025.111058","url":null,"abstract":"<div><div>The notion of equity is a complex and multifaceted one, and it can be difficult to operationalize in a meaningful way. Nevertheless, the importance of integrating equity and justice concerns in environmental management is quickly being recognized across disciplines, including ocean sciences that have long engaged with complex dynamic systems. Ecosystem modelling approaches can be particularly helpful given their ability to incorporate a wide range of concepts, information, and management goals. However, including social equity in ecosystem models is perceived as a difficult task and most marine ecosystem models still mainly focus on fish stock and ecological dynamics and outcomes, ignoring social impacts, which risks losing opportunities to help improve the lives of fisherfolk and identify meaningful solutions. Here, we propose ways to integrate equity in ecosystem models at three different levels. From more to less demanding, we can: (1) explicitly model equity, (2) slightly adjust existing models to incorporate key human components, and (3) ask new questions with existing models. As we move along these steppingstones, we must listen and learn from community partners and social scientists on what data are needed, how to handle ‘unconventional’ data types, and what indicators are most useful. To do so, we invite other modellers to start thinking differently, dare to ask different questions, and bring knowledge together so that our ecosystem models better represent the realities we see.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"503 ","pages":"Article 111058"},"PeriodicalIF":2.6,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modelling the population dynamics of Rift Valley fever virus mosquito vectors in the western Mediterranean Basin","authors":"Alex Drouin ,&nbsp;Thomas Balenghien ,&nbsp;Benoit Durand ,&nbsp;Carles Aranda ,&nbsp;Amal Bennouna ,&nbsp;Ali Bouattour ,&nbsp;Said C Boubidi ,&nbsp;Annamaria Conte ,&nbsp;Sarah Delacour ,&nbsp;Maria Goffredo ,&nbsp;Oumnia Himmi ,&nbsp;Grégory L'Ambert ,&nbsp;Francis Schaffner ,&nbsp;Véronique Chevalier","doi":"10.1016/j.ecolmodel.2024.111013","DOIUrl":"10.1016/j.ecolmodel.2024.111013","url":null,"abstract":"<div><div>Rift Valley fever (RVF) is a zoonotic vector-borne disease mainly transmitted by mosquitoes, and present in Africa, the Arabian Peninsula, and the Indian Ocean. The endemic situation in Mauritania, and the recent outbreaks in Libya have raised concerns about the potential spread of the virus in the western Mediterranean Basin, where competent mosquitoes are present. However, given the large diversity of climates and landscapes in this region, the areas and periods at risk of RVF virus (RVFV) transmission remain unknown. Vector abundance is one of the drivers of arboviruses transmission, therefore knowledge on mosquito species distributions and population dynamics is needed to implement surveillance and to assess the risk of RVFV circulation. Here, we adapted a published modelling framework of mosquito population dynamics to five potential RVFV vectors in the western Mediterranean Basin (<em>Aedes</em> <em>caspius, Aedes</em> <em>detritus, Aedes</em> <em>vexans, Culex</em> <em>pipiens</em> and <em>Culex</em> <em>theileri</em>). The mechanistic model was designed with a daily time step and a 0.1° x 0.1° spatial resolution and takes temperature and precipitations data as inputs, along with published vector distribution maps. We used mosquito trapping data from Spain, France, Italy and Morocco to calibrate the model, and we produced monthly maps of abundance of the five vectors for the whole studied area. We then evaluated the model performances by assessing the correlation between field data and model predictions. Finally, we performed a sensitivity analysis to identify the main influential parameters. The model was able to reproduce most of the abundance peaks for the five mosquito species. Goodness-of-fit was high for <em>Aedes</em> species, especially for <em>Ae.</em> <em>caspius</em>, a highly competent mosquito for RVFV transmission, but lower for <em>Culex</em> species, with potential overpredictions in some regions. More knowledge is required about the presence and abundance of potential RVFV vectors in the Mediterranean Basin to improve predictions. However, this first model allows to identify seasons and areas with high vectors abundances that could be used in the future for surveillance of the disease.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"502 ","pages":"Article 111013"},"PeriodicalIF":2.6,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Uncertainties in future ecosystem services under land and climate scenarios: The case of erosion in the Alps","authors":"Nicolas Elleaume ,&nbsp;Bruno Locatelli ,&nbsp;David Makowski ,&nbsp;Améline Vallet ,&nbsp;Jérôme Poulenard ,&nbsp;Johan Oszwald ,&nbsp;Sandra Lavorel","doi":"10.1016/j.ecolmodel.2025.111041","DOIUrl":"10.1016/j.ecolmodel.2025.111041","url":null,"abstract":"<div><div>How ecosystems will provide ecosystem services in the future given uncertain changes in climate and land use is an open question that challenges decision-making on adaptation to climate change. Prospective assessments of ecosystem services should carefully include and communicate the sources of uncertainties that affect the predictions. We used the ecosystem service of soil protection against erosion in the Maurienne Valley (French Alps) as a case study to illustrate how several sources of uncertainties can be integrated into an assessment of future ecosystem service supply. We modeled future erosion rates in the Maurienne Valley for years 2020 and 2085 using the Revised Universal Soil Loss Equation (RUSLE) and six climatic and socioeconomic scenarios. We quantified how the ecosystem service supply will be likely affected by climate and land-use change, separately and jointly. We assessed the effects of different sources of uncertainty on projected erosion rates: scenarios, climate models choice, and methods to parametrize the ecosystem service model. Land-use change increased erosion (+ 3.3 ton.ha-1.yr-1 on average, with significant increases in 81 % of the study site), while climate change contributed to a slight reduction (-0.21 ton.ha-1.yr-1 on average with significant decrease 20 % of the study site). The uncertainty of the ecosystem service model parameterization explained 93 % of the variance in erosion values. Furthermore, uncertainty linked to climate models and future scenarios contributed almost equally to the variability in the direction (positive or negative) of erosion change (41 % and 38 % respectively). The uncertainties surrounding the direction of future changes in ecosystem services come mainly from uncertainties in climate models and future scenarios rather than from uncertainties in the ecosystem service model parameters. Assessing the likelihood of future changes in ecosystem services helps prioritize locations where adaptation solutions are likely to be needed.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"502 ","pages":"Article 111041"},"PeriodicalIF":2.6,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Field-scale simulation of runoff and water quality in a paddy field: A study of novel RWQSPad model","authors":"Dawei Lin ,&nbsp;Baolin Su ,&nbsp;Wuzhi Yang ,&nbsp;Ningbo Huang ,&nbsp;Kun Zhao ,&nbsp;Yutang Guan ,&nbsp;Ya Liao ,&nbsp;Jingwen Zhou","doi":"10.1016/j.ecolmodel.2025.111042","DOIUrl":"10.1016/j.ecolmodel.2025.111042","url":null,"abstract":"<div><div>A Runoff &amp; Water Quality Simulation model for Paddy fields (RWQSPad) based on water balance and nutrients mass balance was developed to simulate paddy hydrological process, nutrients (nitrogen and phosphorous) and chlorophyll-a dynamics at field scale. A paddy field was separated into flooded water layer and soil layer, and a plant growth component of EPIC model was applied to simulate crop interception and evapotranspiration. Parameters named minimum suitable water depth (<em>H_d</em>), maximum suitable water depth (<em>H_u</em>) and minimum ridge height (<em>H_t</em>) were introduced to control the processes of irrigation and runoff. Besides that, all the important nutrients transformation processes that take place in flooded rice field were considered by the first-order reaction kinetics equations. The effect of limitations of light, temperature and nutrients to floating-algae dynamics indicated by chlorophyll-a was taken into account. The application of RWQSPad model in a paddy field plot of the Shangzhuan Town, Beijing, China showed that the model can simulate well the hydrological, nitrogen and phosphorous transformation processes and chlorophyll-a dynamics in surface water in the paddy field. Simultaneously, it also demonstrated a good level of runoff simulation which can fit quite well with the observed data and a great potential in simulating rainfall-runoff-pollution. RWQSPad model gives more reasonable results of the runoff amount and nutrient losses, and shows a better performance on the modelling of drainage processes.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"502 ","pages":"Article 111042"},"PeriodicalIF":2.6,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}