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McLane Research Laboratories agent-based modelling
Tools for scaling up the biological hierarchy
Agent Based Modelling, supplied by McLane Research Laboratories, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/agent-based+model/agent+based+models/pmc07125044-109-1-20
Average 90 stars, based on 1 article reviews
agent-based modelling - by Bioz Stars, 2026-11
90/100 stars

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1) Product Images from "Striving for population-level conservation: integrating physiology across the biological hierarchy"

Article Title: Striving for population-level conservation: integrating physiology across the biological hierarchy

Journal: Conservation Physiology

doi: 10.1093/conphys/coaa019

Tools for scaling up the biological hierarchy
Figure Legend Snippet: Tools for scaling up the biological hierarchy

Techniques Used: Sampling

Related Articles

Sampling:

Article Title: Predicting the spatial expansion of an animal population with presence‐only data
Article Snippet: In both methods, patch geometry was pre‐defined, as in traditional grid‐based models (Bian, ; McLane et al., ).

Article Title: Forecasting the outcome of multiple effects of climate change on northern common eiders
Article Snippet: Contemporary climate change has complex effects on animal populations caused by the (non-linear) combination of multiple direct and indirect effects on individuals.. These interactions make predictions of the ecological response to climate change challenging; however, predictive models are required to effectively manage wildlife populations and conserve biodiversity.. Here, we demonstrate how agent-based models (ABMs) can be used to predict population responses under multiple effects of climate change.

Article Title: Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases.
Article Snippet: While physicochemical approaches focus on the processes within the sewer (Freni et al., 2010; Verdaguer et al., 2014; Cook et al., 2018; Petrucci et al., 2019), agent-based models (ABMs) are computational simulations of individual, dynamic and adaptive behaviour agents with multiple characteristics that provide interactions between agent and environment (McLane et al., 2011).

Article Title: Agent-based modelling reveals a disproportionate exposure of females and calves to a local increase in shipping and associated noise in an endangered beluga population.
Article Snippet: Agent-based models are also well suited for modelling animal movement processes and patterns (Tang and Bennett, 2010) and play an important role in wildlife ecology and management (McLane et al., 2011).

Article Title: An introduction to agent‐based models as an accessible surrogate to field‐based research and teaching
Article Snippet: Agent‐based models (ABMs) are a simulation tool capable of testing and teaching biological theory from the microbe level to whole ecosystems (McLane et al., ).

Article Title: Connecting the dots: Managing species interaction networks to mitigate the impacts of global change
Article Snippet: Although they may oversimplify the complexities of real- world ecosystems, some of these limitations can be addressed using agent- based models that can serve as powerful tools for ecological network management with stakeholders by simulating complex interactions within ecosystems (McLane et al., 2011).

Article Title: Striving for population-level conservation: integrating physiology across the biological hierarchy
Article Snippet: Further, agent-based modelling could provide insight into the specific population-level effects of individual physiology and multiple environmental stressors (reviewed in McLane et al ., 2011 ; ) allowing for the scaling of these physiological mechanisms across levels of the biological hierarchy.

Article Title: Comparison of visual and acoustic surveys for the detection and dynamic management of North Atlantic right whales (<scp><i>Eubalaena glacialis</i></scp>) in Canada
Article Snippet: Agent-based models assign a specific set of rules to autonomous agents to represent complex systems and have been widely and successfully applied for conservation applications (McLane et al., 2011), including in right whale conservation (Johnson et al., 2020; van der Hoop et al., 2012).



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