Assembly Graph as the Rosetta Stone of Ecological Assembly DOI Creative Commons
Chuliang Song

Опубликована: Авг. 2, 2024

Ecological assembly---the process of ecological community formation through species introductions---has recently seen exciting theoretical advancements across dynamical, informational, and probabilistic approaches. However, these theories often remain inaccessible to non-theoreticians, they lack a unifying lens. Here, I introduce the assembly graph as an integrative tool connect emerging theories. The visually represents dynamics, where nodes symbolize combinations edges represent transitions driven by introductions. Through lens graphs, review how processes reduce uncertainty in random arrivals (informational approach), identify graphical properties that guarantee coexistence examine class dynamical models constrain topology graphs (dynamical quantify transition probabilities with incomplete information (probabilistic approach). To facilitate empirical testing, also methods decompose complex into smaller, measurable components, well computational tools for deriving graphs. In sum, this math-light progress aims catalyze research towards predictive understanding assembly.

Язык: Английский

Assembly Graph as the Rosetta Stone of Ecological Assembly DOI
Chuliang Song

Environmental Microbiology, Год журнала: 2025, Номер 27(1)

Опубликована: Янв. 1, 2025

Ecological assembly-the process of ecological community formation through species introductions-has recently seen exciting theoretical advancements across dynamical, informational, and probabilistic approaches. However, these theories often remain inaccessible to non-theoreticians, they lack a unifying lens. Here, I introduce the assembly graph as an integrative tool connect emerging theories. The visually represents dynamics, where nodes symbolise combinations edges represent transitions driven by introductions. Through lens graphs, review how processes reduce uncertainty in random arrivals (informational approach), identify graphical properties that guarantee coexistence examine class dynamical models constrain topology graphs (dynamical quantify transition probabilities with incomplete information (probabilistic approach). To facilitate empirical testing, also methods decompose complex into smaller, measurable components, well computational tools for deriving graphs. In sum, this math-light progress aims catalyse research towards predictive understanding assembly.

Язык: Английский

Процитировано

0
Unfeasible expectations: why simple predictors outperform structural stability measures for understanding community assembly DOI Creative Commons
J. Christopher D. Terry

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Апрель 28, 2025

Abstract Understanding what determines community assembly and disassembly in a changing environment is core challenge for ecology. Recently family of structural stability approaches that determine the range intrinsic growth rates compatible with system feasibility have been gaining popularity as measure how likely able to persist fluctuating conditions. This offers theoretical basis understanding predicting complex multi-species communities from only interaction network structures. However, here I show high sensitivity calculations domain, coupled empirical uncertainties inherent estimated interactions, are preclude approach’s reliable application settings. Across four reanalyses previous demonstrations approach, more parsimonious explanations based on species connectance provide better patterns or dynamic stability. Calculation metrics therefore appears lose, rather than synthesise, information embedded matrices. success simpler measures good news purposes prediction emphasises value multiple-competing hypotheses validation tests demonstrate value-added associated new approaches.

Язык: Английский

Процитировано

0
Assembly Graph as the Rosetta Stone of Ecological Assembly DOI Creative Commons
Chuliang Song

Опубликована: Авг. 2, 2024

Ecological assembly---the process of ecological community formation through species introductions---has recently seen exciting theoretical advancements across dynamical, informational, and probabilistic approaches. However, these theories often remain inaccessible to non-theoreticians, they lack a unifying lens. Here, I introduce the assembly graph as an integrative tool connect emerging theories. The visually represents dynamics, where nodes symbolize combinations edges represent transitions driven by introductions. Through lens graphs, review how processes reduce uncertainty in random arrivals (informational approach), identify graphical properties that guarantee coexistence examine class dynamical models constrain topology graphs (dynamical quantify transition probabilities with incomplete information (probabilistic approach). To facilitate empirical testing, also methods decompose complex into smaller, measurable components, well computational tools for deriving graphs. In sum, this math-light progress aims catalyze research towards predictive understanding assembly.

Язык: Английский

Процитировано

2