Ecological Modelling最新文献

{"title":"Simulation modelling demonstrates differential performance of connectivity methods in their ability to predict genetic diversity in complex landscapes","authors":"Luciano Atzeni ,&nbsp;Samuel A. Cushman ,&nbsp;David W. Macdonald","doi":"10.1016/j.ecolmodel.2024.110886","DOIUrl":"10.1016/j.ecolmodel.2024.110886","url":null,"abstract":"<div><h3>Context</h3><div>There have been few evaluations of how well different connectivity modelling methods are able to predict the spatial genetic structure and genetic diversity of populations residing in complex landscapes. Given the wide application of connectivity modelling tools in applied conservation planning, it is crucial to broadly evaluate how these models perform across resistance, movement, and population structure conditions in predicting genetic diversity patterns. Such evaluations are critical to provide rigorous, biologically based guidance for conservation and management applications.</div></div><div><h3>Objectives</h3><div>Our goal was to investigate how the predictions of three connectivity models were related to spatial patterns of genetic diversity complex landscapes, considering factors such as population structure, resistance, genetic drift, genetic disequilibrium, and organism movement abilities.</div></div><div><h3>Methods</h3><div>We evaluated the performance of several connectivity methods across seven a priori landscape resistance surfaces to provide a broad assessment of their performance. We used CDPOP, an individual-based, spatially explicit population and genetic simulation model, to simulate genetic diversity across these resistance surfaces. This provided a pool of genetic diversity patterns that were the response factor in our simulation experiment. We then simulated landscape connectivity with several popular connectivity methods, including resistant kernels, Circuitscape, and Pathwalker, and evaluated how well they were able to predict spatial patterns of genetic diversity.</div></div><div><h3>Results</h3><div>Resistant kernel outperformed other connectivity methods in predicting landscape patterns of genetic diversity. The strongest relationships occurred when the population process has created spatial structure but has not yet led to significant genetic diversity loss due to drift. The time lag disequilibrium was relatively short. Long simulation times resulted in severe reduction in prediction ability due to drift.</div></div><div><h3>Conclusions</h3><div>Resistant kernel predictions were much more strongly related to spatial patterns of genetic diversity than were predictions produced by Circuitscape and Pathwalker, across a large combination of population structures. Strong relationships exist between functional connectivity and genetic diversity, with clearer and stronger associations seen in spatial patterns of allelic richness compared to heterozygosity or spatial effective population size. Our results confirm the strong relationship between genetic diversity and population connectivity, and suggest that computationally efficient incidence function algorithms, such as resistant kernel methods, are well suited to predicting functional connectivity.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110886"},"PeriodicalIF":2.6,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142327066","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":"Analyses of the variable selection using correlation methods: An approach to the importance of statistical inferences in the modelling process","authors":"Mauricio Díaz-Vallejo ,&nbsp;Alexander Peña-Peniche ,&nbsp;Claudio Mota-Vargas ,&nbsp;Javier Piña-Torres ,&nbsp;Daniel Valencia-Rodríguez ,&nbsp;Coral E. Rangel-Rivera ,&nbsp;Juliana Gaviria-Hernández ,&nbsp;Octavio Rojas-Soto","doi":"10.1016/j.ecolmodel.2024.110893","DOIUrl":"10.1016/j.ecolmodel.2024.110893","url":null,"abstract":"<div><div>Selecting the best set of variables in ecological niche models (ENM) and species distribution models (SDM) has become a topic of interest in correlative models, leading to the use of statistical methods to estimate the relationships between variables. However, selecting sets of variables requires several decisions, such as choosing sources of information (i.e., species records and calibration areas) and statistical methods to optimize the modelling process while preventing the overestimation of parameters. In the present study, we analyzed four scenarios for selecting variables in ENM/SDM, including the implication of using the Pearson and Spearman correlation methods, with two strategies to extract the variables' information: species records and calibration areas. First, we conducted a bibliographic review to determine the most used methods to select variables. 134 of the 150 articles selected applied correlation methods, 47 used Pearson and 18 Spearman, and the remaining 69 did not specify the type of correlation method. Also, 19 articles employed species records, 20 used calibration areas, and 95 did not specify how they selected variables, showing the absence of clarity and consistency in variables selection. Then, we explored the same four combinations for 56 bird species. We conducted normality tests for the variables per species and found a tendency for non-normal distributions. Furthermore, we performed Pearson and Spearman correlations using species records and calibration areas as extraction strategies and discussed the differences between each one. Finally, we built different sets of variables and performance SDM for six species and found that the set of variables selected has a different composition based on their strategy. Our findings highlight the absence of clarity and consistency in describing correlation coefficients commonly used for environmental variable selection and emphasize its significant implications.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110893"},"PeriodicalIF":2.6,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142327067","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":"Exploring aquaculture related traits of the grooved carpet shell (Ruditapes decussatus) in relation to other bivalve species using Dynamic Energy Budget theory","authors":"Merel Lanjouw ,&nbsp;Henrice M. Jansen ,&nbsp;Jaap van der Meer","doi":"10.1016/j.ecolmodel.2024.110883","DOIUrl":"10.1016/j.ecolmodel.2024.110883","url":null,"abstract":"<div><div>To assess the potential of the grooved carpet shell (<em>Ruditapes decussatus</em>) for aquaculture in Europe, we used Dynamic Energy Budget (DEB) theory to perform extensive parametrization on the species and compared its energy allocation strategy with those of commonly farmed bivalve species: mussels (<em>Mytilus edulis</em> and <em>Mytilus galloprovincialis</em>), oysters (<em>Ostrea edulis</em> and <em>Magallana gigas</em>), the common cockle (<em>Cerastoderma edule</em>), and great scallop (<em>Pecten maximus</em>). The comparison was based on DEB primary parameters relevant to aquaculture production, such as maximum assimilation rate and kappa, which represents the fraction of energy allocated to maintenance and growth, and compound parameters like the von Bertalanffy growth coefficient and maximum storage density. Furthermore, we evaluated the production efficiency at the population level, which represents the ratio of assimilated energy converted into biomass. Our results revealed notable differences in energy utilization strategies among species. However, uncertainties in parameter estimation and environmental factors challenge the direct translation of these parameters to real-world aquaculture, therefore our interpretation focuses on how these parameters might influence a species’ potential for aquaculture. The grooved carpet shell exhibits a balanced energy allocation strategy with a low growth coefficient and low maintenance costs, leading to high production efficiency. Similarly, the common mussel focuses on growth with significant biomass investment over reproduction, while the Pacific oyster and Mediterranean mussel prioritize reproductive development. The flat oyster and scallop demonstrate rapid growth at the cost of the low production efficiencies. The grooved carpet shell and mussels face constraints such as limited reserves, making them comparatively more susceptible to low food quality and quantity. In contrast, high storage densities in species like the common cockle, scallop, and Pacific oyster suggest resilience to fluctuating food conditions. These findings, along with both agreements and discrepancies with existing literature, highlight the need for further experimental research to refine DEB parameters and enhance their application in aquaculture. Overall, the DEB framework proves effective for exploring aquaculture traits across species and underscores the need for additional work on temperature-related processes, life-history events, and morphological variation.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110883"},"PeriodicalIF":2.6,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142323808","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":"Corrigendum to “Site-level and spatially-explicit modelling provides some insights on key factors driving seasonal dynamics of an intertidal seagrass ” [Ecological Modelling 495 (September 2024) 1–13/110802 (13p.)]","authors":"H. Muller ,&nbsp;E. Auclair ,&nbsp;A. Woehrel ,&nbsp;F. Ganthy ,&nbsp;P. Tandeo ,&nbsp;P.PY. Wu ,&nbsp;C. Chercham ,&nbsp;M.P. Marzloff","doi":"10.1016/j.ecolmodel.2024.110888","DOIUrl":"10.1016/j.ecolmodel.2024.110888","url":null,"abstract":"","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110888"},"PeriodicalIF":2.6,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142592687","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":"One century of carbon dynamics in the eastern Canadian boreal forest under various management strategies and climate change projections","authors":"Abderrahmane Ameray ,&nbsp;Xavier Cavard ,&nbsp;Dominic Cyr ,&nbsp;Osvaldo Valeria ,&nbsp;Miguel Montoro Girona ,&nbsp;Yves Bergeron","doi":"10.1016/j.ecolmodel.2024.110894","DOIUrl":"10.1016/j.ecolmodel.2024.110894","url":null,"abstract":"<div><div>Partial cutting has lower canopy removal intensities than clearcutting and has been proposed as an alternative harvesting approach to enhance ecosystem services, including carbon sequestration and storage. However, the ideal partial cutting/clearcutting proportion that should be applied to managed areas of the eastern Canadian boreal forest to enhance long-term carbon sequestration and storage at the landscape scale remains uncertain. Our study projected carbon dynamics over 100 years (2010–2110) under a portfolio of management strategies and future climate scenarios within three boreal forest management units in Quebec, Canada, distributed along an east–west gradient. To model future carbon dynamics, we used LANDIS-II, its Forest Carbon Succession extension, and several extensions that account for natural disturbances in the boreal forest (wind, fire, spruce budworm). We simulated the effects of several management strategies on carbon dynamics, including a business-as-usual strategy (clearcutting applied to more than 95 % of the annually managed area), and compared these projections against a no-harvest natural dynamics scenario. We projected an overall increase in total ecosystem carbon storage, mostly because of increased productivity and broadleaf presence under limited climate change. The drier Western region under climate scenario RCP8.5 was an exception, as stocks decreased after 2090 because of the direct negative effects of extreme climate change on coniferous species’ productivity. Under the natural dynamic scenario, our simulations suggest that the Quebec Forest in the Central and Western regions may act as a carbon sink, despite high fire-related carbon emissions, particularly under RCP4.5 and RCP8.5 Conversely, the eastern region periodically switched from carbon sink to source following SBW outbreaks, thus being a weak sink over the simulation period. Applying partial cutting to over 50 % of the managed forest area effectively mitigated the negative impacts of climate change on carbon balance, reducing differences in stand composition and carbon storage between naturally dynamic forests and those managed for timber. In contrast, clearcutting-based scenarios, including the business-as-usual approach, substantially reduced total ecosystem carbon storage— by approximately double (10 tC ha⁻¹ yr⁻¹) compared to partial cutting scenarios (&lt;5 tC ha⁻¹ yr⁻¹). Clearcutting led to higher heterotrophic respiration due to the proliferation of fast-decomposing broadleaves, resulting in lower carbon accumulation compared to partial cuts. Our findings underscore the importance of balancing canopy removal intensities to increase carbon sequestration and storage while preserving other ecosystem qualities under climate change.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110894"},"PeriodicalIF":2.6,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142323809","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":"An integrated environmental-economic assessment of orange production in China during 2010–2020","authors":"Jiayu Hu ,&nbsp;Xiaohan Ma ,&nbsp;Yanfeng Lyu ,&nbsp;Xiaohong Zhang","doi":"10.1016/j.ecolmodel.2024.110885","DOIUrl":"10.1016/j.ecolmodel.2024.110885","url":null,"abstract":"<div><div>It is unclear how agricultural materials use affects environmental sustainability, carbon emissions and economic benefit of fruit plantation as well as relationships among the three aspects. To address these issues, Chinese orange production, as a study case, was investigated through combination of emergy method, carbon footprint and economic analysis, as well as the proposed co-benefit index based on emergy-carbon-economy. This evaluation framework was applied to assess orange production in Chinese seven provinces during 2010–2020. On average, Jiangxi has the highest emergy sustainability level (0.14) while Guangxi and Chongqing show the lowest level (0.08). Chongqing and Guangdong achieve the best and the worst economic benefit (3.34 vs. 1.78 in terms of Return on Investment) respectively. Hunan and Guangdong possess the lowest and the largest carbon emission intensity (0.11 vs. 0.90 kg CO₂-eq kg ⁻¹ product) accordingly. Hunan and Guangdong achieve the best and the worst co-benefit effect (13.52 vs. 0.48 in terms of Co-benefit Index) respectively. Except Hunan and Jiangxi, emergy sustainability adversely affects co-benefit effect of orange production in the other five provinces. Carbon emission intensity reduces co-benefit effect of orange production in Guangdong. Economic benefit weakens co-benefit effect of orange production in Fujian, Hubei, Hunan and Guangdong. The work proposed one feasible framework for investigating comprehensive performance of fruit production based on emergy – carbon - economy.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110885"},"PeriodicalIF":2.6,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319192","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":"Real-time assessment of live forest fuel moisture content and flammability by using space-time universal kriging","authors":"Andrea Viñuales ,&nbsp;Fernando Montes ,&nbsp;Mercedes Guijarro ,&nbsp;Cristina Gómez ,&nbsp;Ignacio de la Calle ,&nbsp;Javier Madrigal","doi":"10.1016/j.ecolmodel.2024.110867","DOIUrl":"10.1016/j.ecolmodel.2024.110867","url":null,"abstract":"<div><div>Despite the critical role that live fuel moisture content (LFMC) plays in shaping both fire occurrence and behaviour, integration of this factor in wildfire risk assessment remains constrained. Similarly, although flammability is a key factor, its cartographic representation at landscape level poses serious challenges, primarily due to the reliance on bench-scale laboratory experiments for obtaining data. This study aimed to evaluate the spatial and temporal dynamics of LFMC and fuel flammability quantified by the peak heat release rate (PHRR), within a fire-prone forest region in southern Spain. This vulnerable Mediterranean ecosystem is characterized by the prevalence of <em>Pinus pinea L.</em> forests and <em>Cistus ladanifer L.</em> shrublands. LFMC was assessed in fifteen field surveys spanning two fire seasons, across thirty-eight sampling plots, by spatio-temporal universal kriging (UK). Similarly, flammability was assessed in eight surveys, including one fire season, across eight sampling plots, by spatio-temporal universal cokriging (UCK). The auxiliary variables considered were temperature, seasonality, insolation and spectral indices derived from Sentinel-2 and MODIS satellite-derived data. The resulting models exhibited good accuracy, with RMSE values ranging from 11.78 % to 11.89 % for LFMC calibration and between 19.84 % and 20.15 % for the validation data set. Similarly, regarding flammability, RMSE values ranged from 24.08 % to 24.10 % for calibration and between 30.63 % and 30.66 % for validation. LFMC and flammability maps were generated. Temporal autocorrelation in the LFMC models had a significant impact on their performance, whereas PHRR demonstrated a stronger influence through spatial autocorrelation. These unprecedented findings are of great importance in fire behaviour analysis, as the concurrent use of LFMC and PHRR appears to yield diverse yet complementary insights. The use of these techniques, previously unexplored for this specific purpose, marks a significant advance in the field of forest fuel modelling and fire risk evaluation.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110867"},"PeriodicalIF":2.6,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0304380024002552/pdfft?md5=0ca5496b55168031e3ae81515d963354&pid=1-s2.0-S0304380024002552-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142314148","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":"When to add a new process to a model – and when not: A marine biogeochemical perspective","authors":"Adrian P. Martin ,&nbsp;Angela Bahamondes Dominguez ,&nbsp;Chelsey A. Baker ,&nbsp;Chloé M.J. Baumas ,&nbsp;Kelsey M. Bisson ,&nbsp;Emma Cavan ,&nbsp;Mara Freilich ,&nbsp;Eric Galbraith ,&nbsp;Martí Galí ,&nbsp;Stephanie Henson ,&nbsp;Karin F. Kvale ,&nbsp;Carsten Lemmen ,&nbsp;Jessica Y. Luo ,&nbsp;Helena McMonagle ,&nbsp;Francisco de Melo Viríssimo ,&nbsp;Klas Ove Möller ,&nbsp;Camille Richon ,&nbsp;Iyyappan Suresh ,&nbsp;Jamie D. Wilson ,&nbsp;Matthew S. Woodstock ,&nbsp;Andrew Yool","doi":"10.1016/j.ecolmodel.2024.110870","DOIUrl":"10.1016/j.ecolmodel.2024.110870","url":null,"abstract":"<div><div>Models are critical tools for environmental science. They allow us to examine the limits of what we think we know and to project that knowledge into situations for which we have little or no data. They are by definition simplifications of reality. There are therefore inevitably times when it is necessary to consider adding a new process to a model that was previously omitted. Doing so may have consequences. It can increase model complexity, affect the time a model takes to run, impact the match between the model output and observations, and complicate comparison to previous studies using the model. How a decision is made on whether to add a process is no more objective than how a scientist might design a laboratory experiment. To illustrate this, we report on an event where a broad and diverse group of marine biogeochemists were invited to construct flowcharts to support making the decision of when to include a new process in a model. The flowcharts are used to illustrate both the complexity of factors that modellers must consider prior to making a decision on model development and the diversity of perspectives on how that decision should be reached. The purpose of this paper is not to provide a definitive protocol for making that decision. Instead, we argue that it is important to acknowledge that there is no objectively “best” approach and instead we discuss the flowcharts created as a means of encouraging modellers to think through why and how they are doing something. This may also hopefully guide observational scientists to understand why it may not always be appropriate to include a process they are studying in a model.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110870"},"PeriodicalIF":2.6,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0304380024002588/pdfft?md5=932127c4c922051275f658d6cd17555a&pid=1-s2.0-S0304380024002588-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142312268","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":"Dispersal of optimal foragers in a patchy environment: Simulations with a mathematical model and tests of predictions in field experiments","authors":"Xavier Fauvergue ,&nbsp;Keith R. Hopper","doi":"10.1016/j.ecolmodel.2024.110887","DOIUrl":"10.1016/j.ecolmodel.2024.110887","url":null,"abstract":"<div><div>To predict the effect of density on the dispersal of foraging parasitoids, we developed a spatially explicit individual-based model in which parasitoids move among host patches at random but use an optimal decision-rule about when to leave these patches. We used a simple decision rule where an individual forager exploits a patch as long as the instantaneous attack rate is higher than the average attack rate it has experienced in the environment. Such a rule implies that foragers compute and remember attack rates as they forage. Simulations with different combinations of patch distribution, host density, mutual interference, and parasitoid density predicted that dispersal distance should increase with parasitoid density. To test this prediction, we used data from two field experiments in which we released either few or many adults of the aphid parasitoid <em>Aphelinus asychis</em> in replicated sites, and subsequently assessed dispersal from the spatial distribution of parasitoid offspring. In the first experiment, we did not to detect a relation between the number released and dispersal distance, but in the second experiment, dispersal distance increased with initial density, as predicted by our model. We propose two hypotheses to explain the discrepancy between the experiments. Different levels of environmental variability among experiments, resulting from differences in experimental designs, could cause differences in statistical conclusions. However, there could be a threshold density below which dispersal is not density-dependent, and this threshold may have been exceeded in the second experiment where large releases involved many more individuals than in the first experiment. In any case, our approach linked individual behavior and spatial distribution, and our results show that the insect distributions in the field can be predicted, qualitatively, from theory about individual behavior.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110887"},"PeriodicalIF":2.6,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142312267","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":"Good modelling software practices","authors":"Carsten Lemmen ,&nbsp;Philipp Sebastian Sommer","doi":"10.1016/j.ecolmodel.2024.110890","DOIUrl":"10.1016/j.ecolmodel.2024.110890","url":null,"abstract":"<div><div>Frequently in socio-environmental sciences, models are used as tools to represent, understand, project and predict the behaviour of these complex systems. Along the modelling chain, Good Modelling Practices have been evolving that ensure — amongst others — that models are transparent and their results replicable. Whenever such models are represented in software, Good Modelling meet Good Software Practices, such as a tractable development workflow, good code, collaborative development and governance, continuous integration and deployment; and they meet Good Scientific Practices, such as attribution of copyrights and acknowledgement of intellectual property, publication of a software paper and archiving. Too often in existing socio-environmental model software, these practices have been regarded as an add-on to be considered at a later stage only; modellers have shied away from publishing their model as open source out of fear that having to add good practices is too demanding. We here argue for making a habit of following a list of simple and not so simple practices early on in the implementation of the model life cycle. We contextualise cherry-picked and hands-on practices for supporting Good Modelling Practice, and we demonstrate their application in the example context of the Viable North Sea fisheries socio-ecological systems model.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110890"},"PeriodicalIF":2.6,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0304380024002783/pdfft?md5=698f0f19f5fedd131e1cc3724df6ae57&pid=1-s2.0-S0304380024002783-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142312265","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}