Predicting and prioritizing community assembly: learning outcomes via experiments

Blonder, Benjamin; Godoy, Óscar

doi:10.1101/2022.07.07.499099

Cited by 3 publications

(2 citation statements)

References 120 publications

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“…The intricate workings of food webs have been studied by ecologists, who have looked at how interactions between species within these networks affect the resilience and stability of ecosystems [14], [15]. The ramifications for ecological balance and the domino effects of alterations in predator-prey dynamics have been made clear by research in this field [14], [16].…”

Section: Trophic Relationships and Food Chainsmentioning

confidence: 99%

Exploring the Dynamics of Ecosystem Balance Research: A Bibliometric Analysis to Uncover Research Focus and Disciplinary Contributions

Dito Anurogo,

Devi,

Sarwono

et al. 2023

WSNT

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Ecosystem balance is a central concept in ecological research, with far-reaching implications for understanding and managing our natural world. This study employs bibliometric analysis to explore the dynamics of ecosystem balance research, uncover emerging trends, and identify the disciplinary contributions that shape this critical field. Leveraging an extensive dataset of scholarly publications, we examine the temporal evolution of research, geographic distribution, co-authorship networks, citation patterns, keyword co-occurrence, and disciplinary mapping. Our findings reveal a robust and multidisciplinary landscape, characterized by increasing global interest, collaborative research clusters, and influential publications. Key themes include carbon balance, ecosystem services, ecological equilibrium, and the interplay between human development and natural systems. This study provides valuable insights into the evolving ecosystem balance research domain, guiding future investigations and fostering interdisciplinary collaboration to address pressing environmental challenges.

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Section: Trophic Relationships and Food Chainsmentioning

confidence: 99%

Exploring the Dynamics of Ecosystem Balance Research: A Bibliometric Analysis to Uncover Research Focus and Disciplinary Contributions

Dito Anurogo,

Devi,

Sarwono

et al. 2023

WSNT

View full text Add to dashboard Cite

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“…biotic filters). It also differs from Maynard et al (2020), Clark et al (2021) and Blonder and Godoy (2022) because it relies on ecological hypotheses rather than mechanism-free machine learning. Last, it differs from Aoyama et al (2022) in having an explicit focus on traits within dynamical models.…”

Section: Applications To Restorationmentioning

confidence: 99%

Predicting and controlling ecological communities via trait and environment mediated parameterizations of dynamical models

Blonder

Gaüzère

Iversen

et al. 2023

Oikos

Self Cite

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Predicting or controlling the state of an ecological community is a core global change challenge. Dynamical models provide one toolkit, but parameterizing these models can be challenging, and interpretation can be difficult. We here propose rewriting dynamical model parameters in terms of more interpretable and measurable functional traits and environmental variables (trait and environment mediated parameterizations; TEMPs). For prediction, this approach could help make interpretable forecasts of equilibrium community dynamics (species coexistence), invasibility surfaces (dynamics due to biotic context), and responses to environmental change (dynamics due to abiotic context). For control, this approach could help identify policies that yield desired species and trait compositions through perturbations of the abundance of species with certain traits, or of the environment.

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Navigation between initial and desired community states using shortcuts

et al. 2023

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Ecological management problems often involve navigating from an initial to a desired community state. We ask whether navigation without brute-force additions and deletions of species is possible via: adding/deleting a small number of individuals of a species, changing the environment, and waiting. Navigation can yield direct paths (single sequence of actions) or shortcut paths (multiple sequences of actions with lower cost than a direct path). We ask (1) when is non-brute-force navigation possible?; (2) do shortcuts exist and what are their properties?; and(3) what heuristics predict shortcut existence? Using a state diagram framework applied to several empirical datasets, we show that (1) non-brute-force navigation is only possible between some state pairs, (2) shortcuts exist between many state pairs; and (3) changes in abundance and richness are the strongest predictors of shortcut existence, independent of dataset and algorithm choices. State diagrams thus unveil hidden strategies for manipulating species coexistence and efficiently navigating between states.

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Predicting and prioritizing community assembly: learning outcomes via experiments

Cited by 3 publications

References 120 publications

Exploring the Dynamics of Ecosystem Balance Research: A Bibliometric Analysis to Uncover Research Focus and Disciplinary Contributions

Exploring the Dynamics of Ecosystem Balance Research: A Bibliometric Analysis to Uncover Research Focus and Disciplinary Contributions

Predicting and controlling ecological communities via trait and environment mediated parameterizations of dynamical models

Navigation between initial and desired community states using shortcuts

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