Filtern
Volltext vorhanden
- nein (64)
Erscheinungsjahr
Dokumenttyp
- Wissenschaftlicher Artikel (64) (entfernen)
Sprache
- Englisch (64) (entfernen)
Gehört zur Bibliographie
- ja (64)
Schlagworte
- individual-based model (8)
- Individual-based model (7)
- Climate change (3)
- Stage-based model (3)
- foraging (3)
- Biodiversity (2)
- Folsomia candida (2)
- Land use (2)
- Model complexity (2)
- Pattern-oriented modelling (2)
- Population dynamics (2)
- Population viability analysis (2)
- Risk assessment (2)
- agent-based model (2)
- biodiversity (2)
- coexistence (2)
- intraspecific trait variation (2)
- modeling (2)
- population dynamics (2)
- Agent-based model (1)
- Agent-based models (1)
- Animal migration (1)
- Apis mellifera (1)
- Avoidance (1)
- BEEHAVE (1)
- Biodiversity experiments (1)
- Biodiversity theory (1)
- Birds (1)
- Boloria eunomia (1)
- Brown trout (1)
- Community model (1)
- Computational modelling (1)
- Conservation management (1)
- Conservation policy (1)
- Copper (1)
- Daphnia (1)
- Daphnia magna (1)
- Decision support (1)
- Decision-making (1)
- Dynamic Energy Budget (1)
- Dynamic energy budget theory (1)
- Eco-evolution (1)
- Eco-genetic modelling (1)
- Ecological risk assessment (1)
- Ecological theory (1)
- Ecological-economic modelling (1)
- Ecosystem functions and services (1)
- Ecotoxicology (1)
- Effect model (1)
- Environmental change (1)
- Environmental gradients (1)
- European brown (1)
- European lobster (1)
- Female moratorium (1)
- Foraging (1)
- Forecasting (1)
- Functional traits (1)
- Functional types (1)
- Generic modelling (1)
- Glacial relict species (1)
- Global change (1)
- Good modelling practice (1)
- Habitat choice (1)
- Heterogeneity (1)
- High resolution (1)
- Home range (1)
- IBM (1)
- Individual based model (1)
- Individual-based modelling (1)
- Interdisciplinarity (1)
- L-systems (1)
- Landscape of fear (1)
- Lepus europaeus (1)
- Life cycle (1)
- Management (1)
- Marine ecology (1)
- Matrix model (1)
- Mechanistic effect models (1)
- Minimum landing size (1)
- Model analysis (1)
- Model comparison (1)
- Model development (1)
- Model structure (1)
- Monitoring programmes (1)
- Multidimensionality (1)
- NetLogo (1)
- Next-generation modelling (1)
- ODD (Overview, Design concepts, Details) protocol (1)
- PMoA (1)
- Pattern-oriented modeling (1)
- Persea americana (1)
- Pesticides (1)
- Physiological mode of action (1)
- Population (1)
- Population-based model (1)
- Predator-prey interactions (1)
- Review (1)
- Robustness (1)
- Sea ice (1)
- Sensitivity analysis (1)
- Shrub encroachment (1)
- Social-ecological systems (1)
- Soil ecology (1)
- Soil invertebrates (1)
- Southern Ocean (1)
- Spain (1)
- Stability properties (1)
- Standardization (1)
- Structured population model (1)
- Sub-lethal effects (1)
- TK/TD modelling (1)
- Temporal grain (1)
- Trait-based approach (1)
- Understanding (1)
- Varroa destructor (1)
- Yield per recruit (YPR) (1)
- Yodzis-Innes (1)
- activity (1)
- agent-based modelling (1)
- agent-based models (1)
- agriculture (1)
- animal behavior (1)
- animal movement (1)
- animal personality (1)
- apis mellifera (1)
- asymmetry (1)
- behavioral plasticity (1)
- bilinear interpolation (1)
- bioenergetics (1)
- carbon allocation (1)
- carrion resources (1)
- climate change (1)
- colony decline (1)
- colony viability (1)
- community assembly (1)
- community cytometry (1)
- community theory (1)
- competition (1)
- competitive ability (1)
- complexity (1)
- concepts (1)
- connectivity (1)
- corridors (1)
- coviability analysis (1)
- crop diversity (1)
- cropping system (1)
- cross-level interactions (1)
- decline (1)
- demographic noise (1)
- density dependence (1)
- dispersal success (1)
- disturbance intensity (1)
- disturbance type (1)
- dynamic energy budget (1)
- dynamic energy budget theory (1)
- ecological risk assessment (1)
- ecology (1)
- ecosystem services provisioning (1)
- ecosystems (1)
- ecotoxicology (1)
- environmental noise (1)
- error avoidance (1)
- extinction (1)
- feedbacks (1)
- fitness-maximization (1)
- food structuring (1)
- forage availability (1)
- forage gaps (1)
- functional-structural plant model (1)
- global change (1)
- group-living (1)
- habitat connectivity (1)
- habitat suitability models (1)
- hare (1)
- heterogeneity (1)
- honey bees (1)
- individual differences (1)
- individual-based (1)
- individual-based modeling (1)
- integrative modelling framework (1)
- invariability (1)
- land use (1)
- land-use change (1)
- landscape generator (1)
- large marsh grasshopper (1)
- life history (1)
- management (1)
- metabolic scaling theory (1)
- metacommunity assembly (1)
- microbial (1)
- microbial ecology (1)
- migration (1)
- mitigation measures (1)
- model (1)
- model analysis (1)
- model description (1)
- model development (1)
- model validation (1)
- model verification (1)
- modelling (1)
- modern coexistence theory (1)
- modest approach (1)
- movement (1)
- multi-agent simulation (1)
- multiple stressors (1)
- ontogenetic symmetry (1)
- pace-of-life syndrome (1)
- persistence (1)
- personality (1)
- physiological mode of action (1)
- plant architecture (1)
- plant population and community dynamics (1)
- plant-plant interaction (1)
- polar environment (1)
- population viability analysis (1)
- prediction (1)
- predictive systems ecology (1)
- pulsed resources (1)
- recovery (1)
- reproduction test (1)
- resilience (1)
- resistance (1)
- rodents (1)
- scientific communication (1)
- sea turtle (1)
- self-thinning (1)
- single-cell analytics (1)
- sociality (1)
- spatial pattern (1)
- spatially and temporally explicit modelling macroecology (1)
- spatially explicit model (1)
- stability (1)
- standardization (1)
- stress-gradient hypothesis (1)
- symmetry (1)
- trait (1)
- variation (1)
- vultures (1)
- wildlife corridors (1)
BEEHAVE offers a valuable tool for researchers to design and focus field experiments, for regulators to explore the relative importance of stressors to devise management and policy advice and for beekeepers to understand and predict varroa dynamics and effects of management interventions. We expect that scientists and stakeholders will find a variety of applications for BEEHAVE, stimulating further model development and the possible inclusion of other stressors of potential importance to honeybee colony dynamics.
The importance of a careful choice of the appropriate scale for studying ecological phenomena has been stressed repeatedly. However, issues of spatial scale in metapopulation dynamics received much more attention compared to temporal scale. Moreover, multiple calls were made to carefully choose the appropriate model structure for Population Viability Analysis (PVA). We assessed the effect of using coarser resolution in time and model structure on population dynamics. For this purpose, we compared outcomes of two PVA models differing in their time step: daily individual-based model (dIBM) and yearly stage-based model (ySBM), loaded with empirical data on a well-known metapopulation of the butterfly Boloria eunomia. Both models included the same environmental drivers of population dynamics that were previously identified as being the most important for this species. Under temperature change scenarios, both models yielded the same qualitative scenario ranking, but they quite substantially differed quantitatively with dIBM being more pessimistic in absolute viability measures. We showed that these differences stemmed from inter-individual heterogeneity in dIBM allowing for phenological shifts of individual appearance. We conclude that a finer temporal resolution and an individual-based model structure allow capturing the essential mechanisms necessary to go beyond mere PVA scenario ranking. We encourage researchers to carefully chose the temporal resolution and structure of their model aiming at (1) depicting the processes important for (meta)population dynamics of the species and (2) implementing the environmental change scenarios expected for their study system in the future, using the temporal resolution at which such changes are predicted to operate.
In a selected literature survey we reviewed studies on the habitat heterogeneity-animal species diversity relationship and evaluated whether there are uncertainties and biases in its empirical support. We reviewed 85 publications for the period 1960-2003. We screened each publication for terms that were used to define habitat heterogeneity, the animal species group and ecosystem studied, the definition of the structural variable, the measurement of vegetation structure and the temporal and spatial scale of the study. The majority of studies found a positive correlation between habitat heterogeneity/diversity and animal species diversity. However, empirical support for this relationship is drastically biased towards studies of vertebrates and habitats under anthropogenic influence. In this paper we show that ecological effects of habitat heterogeneity may vary considerably between species groups depending on whether structural attributes are perceived as heterogeneity or fragmentation. Possible effects may also vary relative to the structural variable measured. Based upon this, we introduce a classification framework that may be used for across-studies comparisons. Moreover, the effect of habitat heterogeneity for one species group may differ in relation to the spatial scale. In several studies, however, different species groups are closely linked to 'keystone structures' that determine animal species diversity by their presence. Detecting crucial keystone structures of the vegetation has profound implications for nature conservation and biodiversity management.
Simulation models that describe autonomous individual organisms (individual based models, IBM) or agents (agent-based models, ABM) have become a widely used tool, not only in ecology, but also in many other disciplines dealing with complex systems made up of autonomous entities. However, there is no standard protocol for describing such simulation models, which can make them difficult to understand and to duplicate. This paper presents a proposed standard protocol, ODD, for describing IBMs and ABMs, developed and tested by 28 modellers who cover a wide range of fields within ecology. This protocol consists of three blocks (Overview, Design concepts, and Details), which are subdivided into seven elements: Purpose, State variables and scales, Process overview and scheduling, Design concepts, Initialization, Input, and Submodels. We explain which aspects of a model should be described in each element, and we present an example to illustrate the protocol in use. In addition, 19 examples are available in an Online Appendix. We consider ODD as a first step for establishing a more detailed common format of the description of IBMs and ABMs. Once initiated, the protocol will hopefully evolve as it becomes used by a sufficiently large proportion of modellers. (c) 2006 Elsevier B.V. All rights reserved.