TTR.PGM: An R package for modelling the distributions and dynamics of plants using the Thornley transport resistance plant growth model
Abstract An ability to predict the ranges and dynamics of species is central to ecological and evolutionary research. Despite species range modelling being an active area of research for the past three to four decades, methods for predicting species ranges and their dynamics are still diversifying....
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-08-01
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| Series: | Methods in Ecology and Evolution |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/2041-210X.70071 |
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| Summary: | Abstract An ability to predict the ranges and dynamics of species is central to ecological and evolutionary research. Despite species range modelling being an active area of research for the past three to four decades, methods for predicting species ranges and their dynamics are still diversifying. One promising avenue for improvement lies in process‐based models. While the potential advantages of using process‐based models are apparent to both practitioners and researchers, convenient software for implementing process models is often lacking. Here we present an R package for modelling the ranges and dynamics of plant species using a well established plant growth model, the Thornley transport resistance model. The R package provides access to the code used in previous studies and to new features. In this manuscript, we demonstrate two applications of the model, a species distribution model using occurrence data and a time series analysis of vegetation activity using remotely sensed solar induced chlorophyll‐fluorescence (SIF) data. |
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| ISSN: | 2041-210X |