Ecological Modelling最新文献_第10页

A generational randomized growth model for fall-spawning Atlantic herring: Insights from real-world data 秋季产卵大西洋鲱鱼的世代随机生长模型：来自现实世界数据的见解

IF 2.6 3区环境科学与生态学

Ecological Modelling Pub Date : 2025-05-10 DOI: 10.1016/j.ecolmodel.2025.111144

Jacob Burbank , Juan-Carlos Cortés , Cristina Luisovna Pérez , Rafael-Jacinto Villanueva

{"title":"A generational randomized growth model for fall-spawning Atlantic herring: Insights from real-world data","authors":"Jacob Burbank , Juan-Carlos Cortés , Cristina Luisovna Pérez , Rafael-Jacinto Villanueva","doi":"10.1016/j.ecolmodel.2025.111144","DOIUrl":"10.1016/j.ecolmodel.2025.111144","url":null,"abstract":"<div><div>The Southern Gulf of St. Lawrence fall-spawning Atlantic herring has seen rapid declines in biomass and is currently in the cautious zone of the Precautionary Approach Framework. Moreover, it is rapidly approaching its limit reference point. In this work, we build and calibrate a realistic model using random differential equations and age-length data for this species. The calibrated random model’s 95% probabilistic intervals encompass nearly all observed data points while maintaining narrow uncertainty bounds, exhibiting its capacity to capture data variability. Additionally, the Symmetric Mean Absolute Percentage Error between the model’s mean predictions and observed values remains below 2.86% across all calibrated years, indicating that the model effectively represents the species’ growth dynamics. Our results indicate that over time the population is experiencing a reduction in maximum size and is not achieving as advanced ages. Furthermore, we show that there is greater intra-annual variability over time, pointing towards less consistent growth patterns in recent years. These changes in the growth dynamics of the Southern Gulf of St. Lawrence fall-spawning Atlantic herring, suggested by our model, could significantly reduce reproductive output and hinder the species’ rebuilding capacity.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"507 ","pages":"Article 111144"},"PeriodicalIF":2.6,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143931881","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}

引用次数: 0

Modeling a comprehensive multi-criteria, multi-period framework for assessing global sustainability performance: Insights from 164 selected countries 建立评估全球可持续发展绩效的综合多标准、多时期框架：来自164个选定国家的见解

IF 2.6 3区环境科学与生态学

Ecological Modelling Pub Date : 2025-05-09 DOI: 10.1016/j.ecolmodel.2025.111167

Luiz C. Terra dos Santos , Biagio F. Giannetti , Feni Agostinho , Cecilia M.V.B. Almeida

{"title":"Modeling a comprehensive multi-criteria, multi-period framework for assessing global sustainability performance: Insights from 164 selected countries","authors":"Luiz C. Terra dos Santos , Biagio F. Giannetti , Feni Agostinho , Cecilia M.V.B. Almeida","doi":"10.1016/j.ecolmodel.2025.111167","DOIUrl":"10.1016/j.ecolmodel.2025.111167","url":null,"abstract":"<div><div>Global concerns regarding sustainable development have become commonplace in all decision-making scales and have been accompanied by the need to develop proper modeling systems. Indicators and goals recognizing the interconnections between social, economic, and ecological systems are increasingly acknowledged as a necessary pathway, urging research efforts and extensive literature reviews to explore and combine indicators. The Five Sectors Sustainability Model is presented as a multi-criteria decision-making tool to compose a comprehensive view of global sustainability performance between 2000 and 2022, considering the progress or deviation from proposed goals and targets. Since few publications address the challenges faced in all geographic regions, especially in the Global South, this study presents the Five Sector Sustainability Model as a multi-criteria decision-making tool for ranking sustainability performance in 164 nations. The results indicate that few nations remained at the top of the sustainability ranking, primarily due to environmental and economic factors, while 58 countries maintained a medium sustainability level. At the other end of the spectrum, 12 countries consistently ranked low in sustainability performance throughout the studied timeframe. The diversity of economies at each sustainability level and their performance over time suggests that, despite the United Nations' fundamental role in supporting countries to overcome sustainability challenges, the growth of international cooperation for sustainable development and the global approach to the Sustainable Development Goals, local initiatives remain essential for fostering global sustainability.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"507 ","pages":"Article 111167"},"PeriodicalIF":2.6,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143924127","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}

引用次数: 0

Analyzing the impacts of mucilage in the Sea of Marmara: A system dynamics approach integrating sustainability perspectives 马尔马拉海粘液的影响分析：综合可持续性观点的系统动力学方法

IF 2.6 3区环境科学与生态学

Ecological Modelling Pub Date : 2025-05-08 DOI: 10.1016/j.ecolmodel.2025.111166

Duygun Fatih Demirel , Eylül Damla Gönül-Sezer

{"title":"Analyzing the impacts of mucilage in the Sea of Marmara: A system dynamics approach integrating sustainability perspectives","authors":"Duygun Fatih Demirel , Eylül Damla Gönül-Sezer","doi":"10.1016/j.ecolmodel.2025.111166","DOIUrl":"10.1016/j.ecolmodel.2025.111166","url":null,"abstract":"<div><div>The Sea of Marmara has experienced a critical mucilage explosion during the years 2020 and 2021. The existing studies emphasize the inevitability of serious negative economic consequences of the issue on sectors such as fisheries, tourism and maritime transport. Various policies are suggested on the solution of the problem; however, to the best of our knowledge, there is no study to determine the socio-economic effects of such policies in terms of sustainability through a mathematical method. In this study, a simulation model based on system dynamics to analyze the effects of the mucilage explosion seen in the Sea of Marmara on fisheries, tourism and maritime transport is proposed. The proposed model enables the decision makers to examine the complex relationships between factors leading to mucilage, the level of the explosion, and fisheries, tourism and maritime transportation sectors. The simulation results display critical levels of mucilage if no precautions are taken. The model also allows examining policies aimed at preventing mucilage risk and eliminating the negative impacts on the above-mentioned three sectors considering environmental sustainability. Out of the four different policies, it is displayed that policies focusing on decreasing total nitrogen and total phosphorus loads in the sea seem to be the most appropriate ones for the sustainable solution of the mucilage problem. Apart from enabling the decision-makers to explore the impacts of different policies on handling the issue, with this study, the system dynamics approach has been applied for the very first time on the mucilage problem in the literature.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"507 ","pages":"Article 111166"},"PeriodicalIF":2.6,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143924125","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}

引用次数: 0

SyrFitSources: An agent-based model to investigate the effects of land use on the population dynamics of aphidophagous hoverflies 基于agent的土地利用对食蚜食蚜蝇种群动态影响的研究

IF 2.6 3区环境科学与生态学

Ecological Modelling Pub Date : 2025-05-07 DOI: 10.1016/j.ecolmodel.2025.111098

Mario App , Niels Hellwig , Anne-Kathrin Schneider-Hohenbrink , Johannes Burmeister , Boris Schröder , Jan Thiele

{"title":"SyrFitSources: An agent-based model to investigate the effects of land use on the population dynamics of aphidophagous hoverflies","authors":"Mario App , Niels Hellwig , Anne-Kathrin Schneider-Hohenbrink , Johannes Burmeister , Boris Schröder , Jan Thiele","doi":"10.1016/j.ecolmodel.2025.111098","DOIUrl":"10.1016/j.ecolmodel.2025.111098","url":null,"abstract":"<div><div>Aphidophagous hoverflies are affected by insect decline, which is partly caused by habitat loss due to intensified agriculture. We present SyrFitSources, an agent-based model (ABM) for investigating the effect of land use on the population dynamics of the aphidophagous hoverfly <em>Episyrphus balteatus</em> on landscape scale in Central Europe. SyrFitSources considers 1) the life cycle of <em>E. balteatus</em>, 2) the resources of the larvae, i.e., aphids, 3) the resources of the imagines, i.e., pollen and nectar, and 4) the effect of insecticides on aphids and on syrphid larvae. For model testing, analysis, calibration, and evaluation, we used pattern-oriented modeling to compare the ABM results with observed numbers of active <em>E. balteatus</em> in 13 landscapes in Southern Germany in 2011. SyrFitSources reproduced these activity patterns. In 14 sensitivity experiments, we investigated the effects of stage-dependent mortality, migration, feeding, and reproduction on imaginal density. The effects were generally small, where variation of migration-related parameters had the largest effect on imaginal density. An additional resource-reduction scenario of aphids and floral resources suggests that the reduction of aphids has a stronger effect on the density of <em>E. balteatus</em> than that of floral resources. Two scenarios on the effect of insecticides on hoverfly larvae indicate that hoverfly populations are more strongly influenced by the insecticide-related reduction of aphid populations than by the direct effect of insecticides on hoverfly larvae. We conclude that SyrFitSources is a valuable tool for applied sciences, e.g., to assess ecological effectiveness of biodiversity measures in agricultural landscapes.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"507 ","pages":"Article 111098"},"PeriodicalIF":2.6,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143912221","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}

引用次数: 0

Ecological models for tomorrow’s solutions 未来解决方案的生态模型

IF 2.6 3区环境科学与生态学

Ecological Modelling Pub Date : 2025-05-03 DOI: 10.1016/j.ecolmodel.2025.111158

George Arhonditsis , Juan A. Blanco , Hsiao-Hsuan Wang , Alexey Neuman , Carlos A. Arnillas , Brian D. Fath

引用次数: 0

Radial growth models for Pedunculate Oak in the Baltics, Latvia 拉脱维亚波罗的海地区有花序橡树的径向生长模式

IF 2.6 3区环境科学与生态学

Ecological Modelling Pub Date : 2025-05-03 DOI: 10.1016/j.ecolmodel.2025.111161

Agnese Anta Liepiņa , Roberts Matisons , Kārlis Bičkovskis , Guntis Brūmelis , Āris Jansons

{"title":"Radial growth models for Pedunculate Oak in the Baltics, Latvia","authors":"Agnese Anta Liepiņa , Roberts Matisons , Kārlis Bičkovskis , Guntis Brūmelis , Āris Jansons","doi":"10.1016/j.ecolmodel.2025.111161","DOIUrl":"10.1016/j.ecolmodel.2025.111161","url":null,"abstract":"<div><div>Changes of growth in pedunculate oak <em>Quercus robur</em> L. are anticipated, hence accurate projections of reference growth are needed to evaluate effects of management and climate change on performance of the species. The study aimed to test common tree growth models and calibrate the first radial growth reference model for pedunculate oak in the Baltics. Individual cumulative diameter growth was reconstructed from 178 increment cores sampled from 89 pedunculate oak trees growing in eight plantation stands under constant local density. Six different nonlinear fixed-effects growth models derived using the Generalized Algebraic Difference Approach (GADA) were fitted to the observed growth data. The best model selection was made by evaluating model fit statistics in context with biological realism. Due to mature tree age and continuous diameter data, all six tested radial growth models showed a good fit to observed radial growth. Based on fit statistics and the realism of the projected growth curves, the Strand model showed best performance for predicting radial growth of pedunculate oak in the Eastern Baltic region. This study represents one of the very few known endeavours of the GADA modelling for radial growth of pedunculate oak. The fitted radial growth reference models can further serve as the basis for assessment of the impacts of climate change and management on the species' future growth in the region.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"506 ","pages":"Article 111161"},"PeriodicalIF":2.6,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143898368","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}

引用次数: 0

Assessing the impact of climate-induced heatwaves on habitat conditions for reservoir fish communities 评估气候引起的热浪对水库鱼类群落栖息地条件的影响

IF 2.6 3区环境科学与生态学

Ecological Modelling Pub Date : 2025-05-02 DOI: 10.1016/j.ecolmodel.2025.111165

Manuel Almeida, Pedro Coelho

{"title":"Assessing the impact of climate-induced heatwaves on habitat conditions for reservoir fish communities","authors":"Manuel Almeida, Pedro Coelho","doi":"10.1016/j.ecolmodel.2025.111165","DOIUrl":"10.1016/j.ecolmodel.2025.111165","url":null,"abstract":"<div><div>Global climate change is intensifying the frequency, duration, and severity of heatwaves (HW), posing significant threats to aquatic ecosystems, particularly freshwater reservoirs. This study evaluates the impact of future climate-induced HW on the habitats of five fish species in a Portuguese reservoir using the CE-QUAL-W2 2D hydrodynamic model. Climate projections for the end of the century were based on three bias-adjusted EURO<img>CORDEX simulations - MOHC<img>HadGEM2-ES/RACMO22E, MOHC<img>HadGEM2-ES/CCLM4–8–17, and MPI-MPI-ESM-LR/REMO2009 - all under the RCP 8.5 high-emission scenario. The model effectively simulated the dynamics of water temperature and dissolved oxygen within the reservoir. The results indicate that heatwave-induced temperature increases lead to significantly reduced dissolved oxygen levels. The most significant increase in reservoir water temperature was 9.2 °C (μ = 7.2; σ = 1.2) from July to August. Meanwhile, dissolved oxygen levels decreased by 2.1 mg/L (μ = -1.4; σ = 0.5) during the same period, thereby restricting the areas available for fish growth. These changes were primarily driven by increases in water temperature, especially when it exceeded 30ºC. In one of the scenarios the <em>Barbus</em> spp. habitat volume decreased 80 % for 7 days.</div><div>Even species with a high tolerance for extreme temperatures and low oxygen levels are projected to experience physiological stress, potentially leading to increased mortality. Conversely, more heat-tolerant species may see population growth in certain years, leading to ecological imbalances, such as prey depletion and reduced species diversity. These findings highlight the value of such modeling approaches for guiding water management and conservation strategies in the face of climate change.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"506 ","pages":"Article 111165"},"PeriodicalIF":2.6,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143894662","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}

引用次数: 0

Integration of multi-layer perceptron neural network and cellular Automata-Markov chain approach for the prediction of land use land cover in land change modeler 基于多层感知器神经网络和元胞自动机-马尔可夫链方法的土地利用-土地覆被预测

IF 2.6 3区环境科学与生态学

Ecological Modelling Pub Date : 2025-05-01 DOI: 10.1016/j.ecolmodel.2025.111162

Preetam Choudhary , C.P. Devatha , Adani Azhoni

{"title":"Integration of multi-layer perceptron neural network and cellular Automata-Markov chain approach for the prediction of land use land cover in land change modeler","authors":"Preetam Choudhary , C.P. Devatha , Adani Azhoni","doi":"10.1016/j.ecolmodel.2025.111162","DOIUrl":"10.1016/j.ecolmodel.2025.111162","url":null,"abstract":"<div><div>Land use and land cover (LULC) significantly influence the hydrological cycle and various earth processes. Understanding these dynamics is essential for effectively managing environmental issues within river basins. The study focuses on a highly dynamic and flood-prone sub-basin of the Upper Krishna River, where major urban settlements and intensive agricultural activities are concentrated along the riverbanks. The uniqueness of this research comes from the selection of this hydrologically sensitive landscape, shaped by both natural processes and anthropogenic pressures, which presents a critical case for land use and land cover modeling. Utilizing high-resolution satellite data (10 m), combined with the advanced Multi-Layer Perceptron Neural Networks (MLPNN) and Cellular Automata-Markov Chain (CA-Markov) modeling techniques within TerrSet's Land Change Modeler (LCM), which is not only capable of generating spatial transitions and dynamic maps but also identifies the key contributors in gain and loss of various land use classes. We projected LULC scenarios for the mid-century (2049) and end-century (2099) using data from 2015 to 2020. Our model was validated against the actual LULC map from 2024 and showed a strong correlation (Kappa = 0.85). The results indicate significant urban growth along the riverbank and predict an increase in built-up area from 6.53 % in 2024 to 9.59 % in 2049 and further to 15 % by 2099 of the total geographical area. We observed consistent declines in forest cover, cropland, and barren land. These findings are valuable for future hydrological studies and provide important insights for policymakers to support sustainable urban planning and flood risk management.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"506 ","pages":"Article 111162"},"PeriodicalIF":2.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891268","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}

引用次数: 0

Algorithms going wild – A review of machine learning techniques for terrestrial ecology 算法失控-陆地生态学机器学习技术综述

IF 2.6 3区环境科学与生态学

Ecological Modelling Pub Date : 2025-05-01 DOI: 10.1016/j.ecolmodel.2025.111164

Cristina Cipriano , Sergio Noce , Simone Mereu , Monia Santini

{"title":"Algorithms going wild – A review of machine learning techniques for terrestrial ecology","authors":"Cristina Cipriano , Sergio Noce , Simone Mereu , Monia Santini","doi":"10.1016/j.ecolmodel.2025.111164","DOIUrl":"10.1016/j.ecolmodel.2025.111164","url":null,"abstract":"<div><div>The integration of artificial intelligence (AI) algorithms in ecological research is revolutionizing how we monitor, predict, and manage natural systems, enabling more advanced data analysis, pattern recognition, and predictive modelling. This review critically analyzes and synthesizes the application of machine learning and deep learning in terrestrial ecology, providing a comprehensive overview of their paradigms – namely unsupervised, supervised, and reinforcement learning – and semi-supervised learning, along with their respective algorithm families, strengths, and limitations. We examine both current and emerging applications in terrestrial ecological dynamics and modelling, ecosystem management and conservation, identification and classification tasks, such as trait and behavior recognition. Despite these advancements, we summarize several issues hindering the extensive adoption of AI algorithms in ecology, such as inconsistencies or limitations in datasets, algorithm complexity and interpretability affecting transparency and reliability, high computational demands raising environmental sustainability concerns, and difficulties with model generalization. To address these barriers, we identify key areas for future research, namely optimizing data collection, using transfer learning and data augmentation, refining model transparency through explainable AI (XAI) and ethical considerations, and integrating causal inference into AI models. We conclude that AI algorithms hold great promise for delivering more accurate, scalable, and timely data, advancing real-time monitoring and near-instantaneous predictions – e.g., seasonal forecasting – for more dynamic responses to environmental changes. The need for continued methodological innovation and multi- and trans-disciplinary collaboration is emphasized to ensure these technologies are effective, sustainable, and equitable in supporting ecosystem conservation and restoration efforts addressing global ecological crises.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"506 ","pages":"Article 111164"},"PeriodicalIF":2.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891269","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}

引用次数: 0

Unified process model-based assessment of environmental interactions and ecosystem services of a managed fishpond-reed agroecosystem 基于统一过程模型的管理鱼塘芦苇农业生态系统环境相互作用和生态系统服务评价

IF 2.6 3区环境科学与生态学

Ecological Modelling Pub Date : 2025-04-30 DOI: 10.1016/j.ecolmodel.2025.111151

P Sharma , G Gyalog , M Varga

{"title":"Unified process model-based assessment of environmental interactions and ecosystem services of a managed fishpond-reed agroecosystem","authors":"P Sharma , G Gyalog , M Varga","doi":"10.1016/j.ecolmodel.2025.111151","DOIUrl":"10.1016/j.ecolmodel.2025.111151","url":null,"abstract":"<div><div>To support better management of agroecosystems, this work presents a novel approach by considering a quantitative dynamic model-based and holistic background of environmental interactions. Recognizing the increasing importance of coupled systems in environmental management, the methodology is illustrated by a case study of a managed fishpond, partially covered by reed vegetation, and surrounded by reed beds. The unified elements of Programmable Process Structures (PPS) are used to analyze the underlying processes (physical, chemical, biological, ecological, technological, and managerial) and to determine the effects of management interventions on the environmental interactions of the fishpond agroecosystem. Simplified sub-process models have been implemented to calculate the dynamic environmental interactions of the example system studied. The sub-models exploit the approximate stoichiometries and causal relationships behind the environmental interactions with a transparent insight into the structured functionalities of the complex system. These features provide holistic model-based simulations from which the impacts of different management scenarios can be assessed. It is also discussed how the calculated quantitative environmental interactions can be used for a more rigorous assessment of ecosystem services (ES) and dis-services (EDS). It is concluded that many categories of ES (such as provisioning and regulatory services) can be derived directly from the quantitative environmental interactions. Other categories, such as habitat maintenance for biodiversity and cultural services, can be derived by combining the simulated quantitative data with expert-defined qualitative rules. The generalizable results and the reusable computational method outline the basis for a case-specific decision support tool based on a process model in further work.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"506 ","pages":"Article 111151"},"PeriodicalIF":2.6,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887907","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}

引用次数: 0