A pattern‐oriented simulation for forecasting species spread through time and space: a case study on an ecosystem engineer on the move

Modelling the spread of introduced ecosystem engineers is a conservation priority due to their potential to cause irreversible ecosystem‐level changes. While existing models predict potential distributions and spread capacities, new approaches that simulate the trajectory of a species' spread over time are needed. We developed novel simulations that predict spatial and temporal spread, capturing both continuous diffusion‐dispersal and occasional long‐distance leaps. We focused on the introduced population of superb lyrebird Menura novaehollandiae in Tasmania, Australia. Initially introduced as an insurance population, lyrebirds have become novel bioturbators, spreading across key natural areas and becoming ‘unwanted but challenging to eradicate'. Using multi‐scale ecological data, our research 1) identified broad and fine‐scale correlates of lyrebird occupation and 2) developed a spread simulation guided by a pattern‐oriented framework. This occurrence‐based modelling framework is useful when demographic data are scarce. We found that the cool, wet forests of western Tasmania with open understoreys offer well‐connected habitats for lyrebird foraging and nesting. By 2023, lyrebirds had reached quasi‐equilibrium within a core range in southern Tasmania and were expanding northwest, with the frontier reaching the western coast. Our model forecasts that by 2085, lyrebirds will have spread widely across suitable regions of western Tasmania. By pinpointing current and future areas of lyrebird occupation, we provide land managers with targeted locations for monitoring the effects of their expansion. Further, our area of applicability (AOA) analysis identified regions where environmental variables deviate from the training data, guiding future data collection to improve model certainty. Our findings offer an evidence‐based approach for future monitoring and provide a framework for understanding the dynamics of other range‐expanding species with invasive potential.

Authors

Institutions

Publication Details

Journal
Ecography
Published
2025-02-04
DOI
https://doi.org/10.1111/ecog.07597
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A pattern‐oriented simulation for forecasting species spread through time and space: a case study on an ecosystem engineer on the move

Matthew W. Fielding, Peter Vaughan, Barry W. Brook, Rahil J. Amin et al.
1 links
Ecography
Species Distribution and Climate Change
article

A pattern‐oriented simulation for forecasting species spread through time and space: a case study on an ecosystem engineer on the move

Matthew W. Fielding, Peter Vaughan, Barry W. Brook, Rahil J. Amin, Jessie C. Buettel
article en

Abstract

Modelling the spread of introduced ecosystem engineers is a conservation priority due to their potential to cause irreversible ecosystem‐level changes. While existing models predict potential distributions and spread capacities, new approaches that simulate the trajectory of a species' spread over time are needed. We developed novel simulations that predict spatial and temporal spread, capturing both continuous diffusion‐dispersal and occasional long‐distance leaps. We focused on the introduced population of superb lyrebird Menura novaehollandiae in Tasmania, Australia. Initially introduced as an insurance population, lyrebirds have become novel bioturbators, spreading across key natural areas and becoming ‘unwanted but challenging to eradicate'. Using multi‐scale ecological data, our research 1) identified broad and fine‐scale correlates of lyrebird occupation and 2) developed a spread simulation guided by a pattern‐oriented framework. This occurrence‐based modelling framework is useful when demographic data are scarce. We found that the cool, wet forests of western Tasmania with open understoreys offer well‐connected habitats for lyrebird foraging and nesting. By 2023, lyrebirds had reached quasi‐equilibrium within a core range in southern Tasmania and were expanding northwest, with the frontier reaching the western coast. Our model forecasts that by 2085, lyrebirds will have spread widely across suitable regions of western Tasmania. By pinpointing current and future areas of lyrebird occupation, we provide land managers with targeted locations for monitoring the effects of their expansion. Further, our area of applicability (AOA) analysis identified regions where environmental variables deviate from the training data, guiding future data collection to improve model certainty. Our findings offer an evidence‐based approach for future monitoring and provide a framework for understanding the dynamics of other range‐expanding species with invasive potential.

EcographyVol. 2025(6)
University of Tasmania (AU), Bush Heritage Australia (AU), Monash University (AU)
Openalex Percentile: Top 99%
Species Distribution and Climate Change
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.