ECOLOGICAL MODELLING生态建模
ECOLOGICAL MODELLING(英文缩写 ECOL MODEL),ISSN 0304-3800,eISSN 1872-7026,中文译名:生态建模 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-10-01 至 2026-09-30，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 3.512 | Q2 |
| 2022 | 3.100 | Q2 |
| 2023 | 2.600 | Q2 |
| 2024 | 3.200 | Q2 |
| 2025 | 3.500 | Q2 |
ECOLOGICAL MODELLING 最新收录文献
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1. A SPATIALLY-EXPLICIT STOCHASTIC MODEL FOR THE GULF COAST TICK.
PMID:日期:2025-07-22Tick ecology is complicated and has many potentially negative effects, including disease transmission, host population declines, altered dynamics, and cascading interactions that disrupt entire ecological systems. Such negative effects could be mitigated through a careful analysis and understanding of how ticks disperse over a landscape. In this paper we develop a stage-structured spatially-explicit stochastic model for the Gulf Coast Tick (GCT), . In this model, each tick individual belongs to one of four developmental stages: egg, larvae, nymph, or adult. We divide a 2-dimensional landscape into discrete spatial patches and model two types of tick movement across these patches: 1) active where ticks use their own energy to move about or 2) where ticks move about through host movement. Using a two-dimensional grid landscape and incorporating demographic stochasticity, we investigate tick invasion across the landscape, including invasion speed, the significance of environmental variability, and the effect of heterogeneous habitats on invasion. We also highlight the significant impact that adult ticks have on invasion and suggest control mechanisms to alleviate the negative impacts of the tick invasion. This model can be adapted to apply to various tick species to study geographic range expansion scenarios.
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2. Modeling water quality in a subalpine lake.
PMID:日期:2025-06-23Subalpine lakes are valuable resources that are at increasing environmental risk. Aquatic ecosystem models are useful tools for understanding dynamics of lakes, however, there are few examples of these models being applied to subalpine lakes, which may differ from temperate lakes in dimensions such as physical setting and ecology. Here we apply the aquatic ecosystem model AQUATOX to the Loch, a well-studied lake in Rocky Mountain National Park in Colorado, USA, to assess the applicability of this model to a subalpine lake setting, and to identify modeling gaps. We found that AQUATOX could represent phytoplankton dynamics during the ice-off period. Attempting to calibrate the model during the ice-on period using the same structure and parameters as the ice-off period underestimated winter chlorophyll concentrations. Additionally, the model was used to simulate a nutrient bioassay experiment - nitrate was well simulated; P was overestimated but consistent with the observed pattern. These results support the use of current models for subalpine lakes when data are sufficient. Areas identified for future model development include better models for boundary conditions, improved light data, modeling of mixotrophy, and better representation of ice formation and under-ice stratification.
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3. Dynamic ammonia exchange within a mixed deciduous forest canopy in the Southern Appalachians.
PMID:日期:2025-02-01Ammonia ( ) concentration and flux measurements made in 2016 in a mixed deciduous forest at the western North Carolina Coweeta Hydrologic Laboratory are analyzed using a multi-layer, one-dimensional column model with detailed canopy physics and bi-directional exchange. Simulations for April 26-30 and July 19-30 are presented to assess the model's ability to represent measured in-canopy profiles and probe the processes that control bi-directional exchange with the canopy and forest floor. During dry canopy conditions, model simulations are found to well reproduce measured in-canopy profiles for both the April and July periods, given appropriate model inputs. Results from the model, and the shape of in-canopy profiles, are sensitive to vertical turbulent mixing, the values of the input soil/litter emission potential, and the assumed litter resistance. fluxes simulated above the forest canopy are very small (-25 to -5 ng m s in April and < 1 ng m s in July) with primarily deposition to the canopy during the April time period, but with mixed deposition/emission during July. The model also suggests that net deposition or emission of can be a function of location within the canopy, depending on the difference between the air concentration and the effective canopy compensation point. However, during periods when the canopy is wet from overnight dew and drying rapidly, the model does a poor job of replicating in-canopy profiles, typically underestimating concentrations, since the model does not account for the release of from evaporating dew. Although available data during the field campaign are not sufficient to rule out other potential hypotheses, given that the model reasonably reproduces in-canopy profiles during dry canopy periods, but fails during periods of rapid drying, the results are suggestive that dew is playing a major role in concentration changes observed in July during the field study. Additional studies and measurements are needed to determine the processes and environmental controls that affect absorption and release from dew and to evaluate the importance of this process for modeling deposition and re-emission on the regional scale. Further questions that arise from our findings are whether the variation of deposition or emission with location in the canopy is important from an ecological perspective and how in-canopy dynamics might be represented in regional-scale air quality models. Traditional big-leaf approaches of modeling bi-directional exchange cannot account for in-canopy variation such as that presented here, and so multi-layer approaches may need to be developed for more nuanced estimates of deposition to forest ecosystems.
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4. Response of California Condor Populations to Reintroductions, Reinforcements, and Reductions in Spent Lead Ammunition Pollution.
PMID:日期:2025-02-01The California Condor (CACO; ) is a critically-endangered apex scavenger with multiple reintroduction sites providing population reinforcement. Spent lead ammunition pollution in CACO food (i.e., carrion and gut piles) was most likely responsible for the decline of CACO populations in the twentieth century and continues to be the leading source of condor mortality. To aid condor recovery decisions for the California population, numbering approximately 200 in early 2024, we present results from a female-only, individual-based life cycle model. We simulated future CACO population size under each of 25 scenarios representing combinations of 5 levels of reintroductions of captive-bred CACO released in California, and 5 levels of lead reduction, projected over a 25-year forecast. Under the scenario of no change in current reinforcements or lead occurrence, CACO populations are projected to increase to 259 females; under the worst-case scenario of halting all reinforcements and no decrease in lead pollution, populations are projected to decline to 49 females; and under the best-case scenario of fully-enhanced reinforcements and complete elimination of lead pollution, populations are projected to increase to 569 females, with other scenarios having intermediate results. Our model predicted substantial improvements in population size even with incremental reductions in lead ammunition pollution, although we caution that population size is an incomplete measure of population health. Our maps of simulated foraging movements suggest a widespread expansion of condors throughout California and southwest Oregon under the best-case scenario, and major reduction with no expansion in distribution under the worst-case scenario. Our model serves as a framework for evaluating the efficacy of alternative recovery actions, and could be further enhanced to include economic and socio-economic tradeoffs associated with condor recovery.
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5. Inferring the relative importance of navigation and landscape effects for migratory populations using agent-based models.
PMID:日期:2024-12-31Seasonal migration is a vital behavior for numerous animal species, offering ecological services such as seed dispersal, pollination, and resource influxes. However, accurately describing and predicting the spatial dynamics of migrating populations remains a challenge due to the scale of the behavior and the different navigation strategies employed by the animals to complete it. The goal of this study is two-fold: (1) to develop an agent-based model (ABM) to simulate the final spatial distributions of migratory animals using two navigation strategies-true navigation and vector navigation-and (2) to use a case study of migratory monarch butterflies to determine the value of comparing model-generated spatial patterns with empirical observations. True navigators are hypothesized to use a combination of location and directional information to reach specific destinations, while vector navigators follow consistent directions throughout their journey, without altering these directions with respect to their current location. Therefore, it is logical to assume that true navigators would be more accurate in reaching specific destinations than vector navigators. Our model was designed to test this assumption by investigating the spatial distribution of migrants traveling across landscapes characterized by water bodies and elevational gradients. While true navigators were indeed more likely to reach their destinations than vector navigators on homogeneous landscapes, our model revealed that heterogeneous landscapes can successfully channel vector navigators to their destinations. Applying the model to monarch butterflies, we found that simulated distributions based on vector navigation closely matched observed overwintering locations. This not only demonstrates the utility of our model in generating spatial patterns that can be compared to empirical data, but also reveals that vector navigation across a heterogeneous landscape is a plausible strategy that would allow western monarch butterflies to reach their overwintering sites. The analysis also highlighted limitations in the observed data, such as biases introduced by preferential sampling, emphasizing the need for improved data collection methodologies. This study demonstrates the utility of ABMs in linking hypothesized navigation processes to observed migratory patterns, offering a framework for investigating and distinguishing navigation strategies in varying migratory species.
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6. Towards a liana plant functional type for vegetation models.
6. 迈向植被模型中的藤本植物功能型PMID:日期:2024-12Lianas (woody climbers) are crucial components of tropical forests and they have been increasingly recognized to have profound effects on tropical forest carbon dynamics. Despite their importance, lianas' representation in vegetation models remains limited, partly due to the complexity of liana-tree dynamics and the diversity in liana life history strategies. This paper provides a comprehensive review of advances and challenges for mechanistically representing lianas in forest ecosystem models and a proposed path towards effectively representing lianas in these models. Defining a liana plant functional type is a significant challenge because of the high morphological and physiological diversity amongst liana species, and because of their structural association with trees. Here, we identify critical liana traits that likely should contribute to establishing a liana plant functional type, along with key processes to properly represent lianas in ecosystem models. Subsequently, we discuss a variety of possible liana implementation strategies with their associated strengths, limitations, computational costs and data requirements. A fundamental redesign of the tree-centric demographic vegetation models seems appropriate to accommodate the unique growth and competition strategies of lianas. We illustrate the potential of such models with a single-site case study where we disentangle putative mechanisms of liana increasing abundance. Furthermore, we underscore the critical need for comprehensive liana demographic and functional data (including long-term, physiological, and pantropical observations) for the qualitative implementation and evaluation in the proposed modeling efforts. Currently, there is a scarcity of liana data and the data that do exist have a neotropical bias. We finally introduce a new liana functional trait database that can centralize existing liana trait data, incentivize improved data gathering and thus facilitate model development and scientific analyses.
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7. Coastal generalized ecosystem model (CGEM) 1.0: Flexible model formulations for simulating complex biogeochemical processes in aquatic ecosystems.
PMID:日期:2024-10-01The Coastal Generalized Ecosystem Model (CGEM) is a biogeochemical model developed to study regulating processes of water-column optical properties, water-column and benthic carbon, oxygen, and nutrient cycles, and phytoplankton and zooplankton dynamics. CGEM offers numerous formulations for important rate processes, providing users flexibility in altering model structure. This flexibility also provides a means for evaluating model structural uncertainty and impacts on simulations, which are rarely evaluated with numerical ecosystem models. As an open-source model, CGEM also offers users the option to implement new formulations or modify existing routines. We also provide a full description of the model formulations, state variables, and model parameters in CGEM. Using two published case studies, we explore how different formulations for light attenuation, phytoplankton temperature growth response, and sediment processes impact simulations. We discuss CGEM's role as a new ecosystem model within the modeling community and opportunities to address current and future water quality issues.
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8. Modeling nearshore total phosphorus in Lake Michigan using linked hydrodynamic and water quality models.
PMID:日期:2024-07Although the offshore water of Lake Michigan has been below the Great Lakes Water Quality Agreement (GLWQA) total phosphorus (TP) spring target concentration of 7 μg L for several decades, higher TP concentrations occur in the nearshore, contributing to the resurgence of and other nutrient related issues. The most recent update of the GLWQA specifically calls for the assessment of current nearshore conditions. Such assessment would require an intensive monitoring program supported by water quality models. Here we applied multiple versions of a phosphorus-based model linked to an unstructured-grid hydrodynamic model. We focus on the nearshore regions of Lake Michigan around the Grand and Muskegon rivers - a region with strong riverine TP influence and intensive monitoring. Results from a TP model were compared to observational data and to a previously published Phosphorus-based Nutrient-Phytoplankton-Zooplankton-Detrital-Mussel (NPZDM) model. Model results and observational data show that parts of the nearshore can be well above the target TP concentrations but, due to the dynamic nature of this region, the TP concentrations can change rapidly. The models' skill statistics in predicting individual observations were variable, but it was able to simulate temporal and spatial trends and captured the distribution of observations in our study area. The similarity between the results of the TP and NPZDM models demonstrated the TP concentrations in this nearshore area are driven by hydrodynamics and river TP loads, which are likely the reasons for the higher observed TP concentrations. Simplicity, transparency, and ease of use of the TP model make it a useful tool for supporting nearshore assessments and estimating existing and future nearshore TP concentrations.
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9. Simulating implications of fish behavioral response for managing hypoxia in estuaries with spatial dissolved oxygen variability.
PMID:日期:2024-04Hypoxia, or low dissolved oxygen (DO), is a widespread water quality problem affecting estuaries and coastal waters around the world. Water quality criteria for DO have been established for every estuary in the US and are an important part of the regulatory response to nutrient pollution and associated anthropogenic eutrophication. Experimental studies examining effects of low DO exposure have been to quantify outcomes based on hypoxia effects observed in individuals, such as increased mortality or growth impairment. Although laboratory exposure tests provide useful benchmarks for policy development, most of those considered in policy development did not consider behavioral responses to low DO. However, experimental research has shown that behavioral responses occur, and that behavior modifies exposure to low DO conditions. Here we begin development of a spatially explicit individual based model (SEIBM) intended to project behavioral outcomes of exposure to spatially variable hypoxia in estuaries. Our goal is to consider the responsiveness of an SEIBM to both different behavioral hypotheses, as well as realistic spatial patterns in hypoxia. A sensitivity analysis was used to explore responsiveness based on two movement strategies: avoidance and behavioral switching. We tested the sensitivity of a suite of movement parameters to changes in spatial patterns representative of an index estuary. The sensitivity analysis demonstrated that model responses to changes in movement strategies include biologically meaningful changes in site occupancy and movement distance centered on individual behavior near a normoxic-hypoxic boundary. Further, the model demonstrated important sensitivity to realistic changes in movement parameters, including the size and shape of the individual neighborhood describing knowledge useful for movement decisions. These results support the utility of the developed SEIBM for exploring behavioral responses of fish to hypoxia in estuaries. The sensitivity analysis also demonstrates parameter values that must be set based on empirical data and are sensitive to data quality. These results will be used to further develop the model and to plan field and laboratory studies to support model parametrization. The end goal is a model framework that can inform policy decisions regarding hypoxia resulting from anthropogenic nutrient loading in estuaries.
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10. Corrigendum to 'Modeling mixoplankton along the biogeochemical gradient of the Southern North Sea' Ecological Modelling 458 (2021) 0304-3800/109690.
PMID:日期:2023-07[This corrects the article DOI: 10.1016/j.ecolmodel.2021.109690.].