Chuliang Song

Chuliang Song

PostDoc

Princeton University

Biography

I am a theoretical and computational ecologist. My research program aims to forecast the dynamics of ecological systems under unforeseen environmental conditions, and under incomplete information about the entire system. To this end, my work centers on developing rigorous theory through interdisciplinary tools, devising monitoring-applicable metrics, and validating these approaches with empirical data from a broad range of ecosystems.

I am currently a postdoc with Jonathan Levine at Princeton University. I was a postdoc co-supervised by Andrew Gonzalez at McGill University and Marie-Josée Fortin at University of Toronto from 2020-2022. I received a PhD in Civil and Environmental Engineering from MIT under the supervision of Serguei Saavedra, and a BS in Mathematics from Zhejiang University under the supervision of Yang-Yu Liu.

You can reach me via email: clsong.ecology AT gmail DOT com.

Interests

  • Species coexistence
  • Priority effects
  • Spatial ecology
  • Effective biomonitoring

Education

  • PhD in Civil and Environmental Engineering, 2016 - 2020

    Massachusetts Institute of Technology

  • BSc in Mathematics, 2013 - 2016

    Zhejiang University

Projects

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Biomonitoring from incomplete surverys

Biomonitoring from incomplete surverys

How to make robust assessment when only small subsets of ecosystems can be monitored

Conceptual unification of theoretical approaches

Conceptual unification of theoretical approaches

Under what conditions different theoretical approaches tell a similar story, and what can be learned when they do not coincide.

Discontinuity and predictability of ecological assembly

Discontinuity and predictability of ecological assembly

Exploring the full landscape of priority effects with graph theory and algebraic topology

Species coexistence under changing environment

Species coexistence under changing environment

How the architecture of species interactions affects species coexistence in fluctuating environemnts

Statistical physics for ecological time series

Statistical physics for ecological time series

Combing theory and theory to identify the structure of ecological dynamics

Publications

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(2022). Mean species responses predict effects of environmental change on coexistence. submitted.

(2022). Reconceptualizing beta diversity: a hypervolume geometric approach. submitted.

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(2022). Metapopulation persistence can be inferred from incomplete surveys. Proceedings of the Royal Society B.

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(2022). Rapid monitoring for ecological persistence. submitted.

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(2022). Generalism drives abundance: a computational causal discovery approach. PLOS Computational Biology.

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(2021). Untangling the complexity of priority effects in multispecies communities. Ecology Letters.

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(2021). Synthesizing the effects of individual-level variation on coexistence. Ecological Monographs.

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(2021). Understanding the emergence of contingent and deterministic exclusion in multispecies communities. Ecology Letters.

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(2021). Coexistence holes characterize the assembly and disassembly of multispecies systems. Nature Ecology and Evolution (* equal contibution).

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(2021). Merging dynamical and structural indicators to measure resilience in multispecies systems. Journal of Animal Ecology (* equal contibution).

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(2020). Structural stability: concepts, methods and applications. Biodiversity Science (in Chinese).

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(2020). Telling ecological networks apart by their structure: An environment-dependent approach. PLOS Computational Biology.

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(2020). Towards a Probabilistic Understanding About the Context-Dependency of Species Interactions. Trends in Ecology and Evolution.

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(2020). Disentangling the effects of external perturbations on coexistence and priority effects. Journal of Ecology.

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(2019). Accelerating the emergence of order in swarming systems. Advances in Complex Systems.

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(2019). On the Consequences of the Interdependence of Stabilizing and Equalizing Mechanisms. The American Naturalist (* equal contibution).

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(2019). Beware z-scores. Journal of Animal Ecology.

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(2018). A guideline to study the feasibility domain of multi-trophic and changing ecological communities. Journal of Theoretical Biology.

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(2018). Rethinking the importance of the structure of ecological networks under an environment-dependent framework. Ecology & Evolution (* equal contribution).

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(2018). Structural stability as a consistent predictor of phenological events. Proceedings of the Royal Society B.

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(2018). Structural changes within trophic levels are constrained by within-family assembly rules at lower trophic levels. Ecology Letters.

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(2018). Will a small randomly-assembled community be feasible and stable?. Ecology.

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(2017). Why are some plant-pollinator networks more nested than others?. Journal of Animal Ecology.

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(2016). Existence of positive solutions for an approximation of stationary mean-field games. Involve, a Journal of Mathematics.

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