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Received: 29 June 2016Revised: 6 February 2017Accepted: 8 February 2017DOI 10.1002/env.2440RESEARCH ARTICLEModeling joint abundance of multiple species using Dirichlet process mixtures Devin S. JohnsonElizabeth
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01
Collect data on the species you want to model joint abundance of.
02
Determine the statistical approach you will take for modeling joint abundance (e.g. hierarchical modeling, Bayesian modeling).
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Choose appropriate software for conducting the modeling (e.g. R, BUGS, JAGS).
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Preprocess the data by standardizing and cleaning it.
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Fit the joint abundance model to the data using the chosen statistical approach.
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Who needs modeling joint abundance of?

01
Ecologists studying species interactions in a community.
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Conservation biologists monitoring endangered species populations.
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Resource managers making decisions related to wildlife management.
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Researchers studying the dynamics of ecological systems.
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Modeling joint abundance of multiple species.
Researchers and scientists studying population dynamics.
By inputting data on species interactions and population sizes.
To understand the relationships between different species in an ecosystem.
Species involved, population sizes, and interactions.
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