Writing mathematical ecology: A guide for authors and readers Article Swipe
Lauren G. Shoemaker
,
Jonathan A. Walter
,
Laureano Gherardi
,
Melissa H. DeSiervo
,
Nathan I. Wisnoski
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1002/ecs2.3701
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1002/ecs2.3701
Mathematical techniques have a long and rich history in ecology, often serving as a virtual laboratory to test hypotheses, generate novel predictions, and investigate underlying ecological mechanisms. Recently, novel simulation techniques, advances in computing power, and numerical methods for implementing statistical models have significantly advanced our ability to integrate empirical and theoretical ecology. However, a divide still remains between mathematical and empirical studies, their readership, and integration into the broader literature. Because insights from mathematical ecology are far more general than the techniques employed, limitations in communicating mathematical advances to a broad spectrum of ecologists have arguably hindered ecology's progress, particularly in confronting theoretical predictions with empirical experiments and data. Here, we present a guide for both authors and readers of mathematical ecology, with the aim of increasing the accessibility of mathematical ecology for a broad group of ecologists. We provide a list of best practices when both writing and reading mathematical ecology, incorporating examples from this Special Feature of Ecosphere . This guide complements current guides for writing science, focusing specifically on effective communication of mathematics.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/ecs2.3701
- OA Status
- gold
- Cited By
- 15
- References
- 58
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W3195233995Canonical identifier for this work in OpenAlex
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https://doi.org/10.1002/ecs2.3701Digital Object Identifier
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Writing mathematical ecology: A guide for authors and readersWork title
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articleOpenAlex work type
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enPrimary language
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2021Year of publication
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2021-08-01Full publication date if available
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Lauren G. Shoemaker, Jonathan A. Walter, Laureano Gherardi, Melissa H. DeSiervo, Nathan I. WisnoskiList of authors in order
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https://doi.org/10.1002/ecs2.3701Publisher landing page
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goldOpen access status per OpenAlex
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https://doi.org/10.1002/ecs2.3701Direct OA link when available
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Ecology, Theoretical ecology, Computer science, Reading (process), Empirical research, Management science, Systems ecology, Data science, Applied ecology, Biology, Mathematics, Sociology, Engineering, Population, Demography, Law, Political science, Statistics, BiodiversityTop concepts (fields/topics) attached by OpenAlex
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15Total citation count in OpenAlex
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2025: 2, 2024: 7, 2023: 3, 2022: 1, 2021: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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