Dr Jose Lahoz-Monfort
Honorary (Senior Fellow)
School of Agriculture, Food and Ecosystem Sciences
74 Scholarly works
7 Projects
HIGHLIGHTS
2026
Journal article
Corrigendum to: Which bird species respond most to forest structural variation? Implications for biodiversity indicators in Mediterranean forests. Forest ecology and management volume 601 (2026) 123364 (Forest Ecology and Management (2026) 601, (S0378112725008722), (10.1016/j.foreco.2025.123364))
DOI: 10.1016/j.foreco.2025.1234452026
Journal article
Which bird species respond most to forest structural variation? Implications for biodiversity indicators in Mediterranean forests
DOI: 10.1016/j.foreco.2025.1233642025
Journal article
Testing the efficiency of thermal imagers for detecting arboreal marsupials in temperate forests
DOI: 10.1071/WR250542024
Journal article
Leveraging historical field notebooks to uncover continental-scale patterns in the diversity of Australian grasshoppers
DOI: 10.1111/icad.127162020
Research grants (international)
Low-Cost Open-Source Acoustic Technology for Finding and Monitoring Extremely Rare Species Over Large Landscapes
2019
Internal Research Grant
Testing Thermal Imaging Drones for Detecting a Critically Endangered Bird
2016
Research Grant
Using Species Distribution Models to Make Robust Conservation Decisions
RECENT SCHOLARLY WORKS
2023
Journal article
Flexible species distribution modelling methods perform well on spatially separated testing data
DOI: 10.1111/geb.136392023
Journal article
Spatial variation on the abundance of a threatened South American large herbivore using spatiotemporally replicated drone surveys
DOI: 10.1007/s10531-023-02553-72023
Journal article
Optimally designing drone-based surveys for wildlife abundance estimation with N-mixture models
DOI: 10.1111/2041-210X.140542023
Journal article
Developing a database of Australian grasshopper occurrences from historic field survey notebooks spanning 54 years (Orthoptera: Acrididae, Morabidae, Pyrgomorphidae, Tetrigidae)
DOI: 10.1111/aen.126282022
Journal article
Predictive performance of presence-only species distribution models: a benchmark study with reproducible code
DOI: 10.1002/ecm.14862021
Journal article
Modelling species presence-only data with random forests
DOI: 10.1111/ecog.05615
RECENT PROJECTS
2021
Internal Research Grant
Listening to Nature: Open-Source Technology and Analytical Tools for Acoustic Monitoring of Biodiversity
2017
Internal Research Grant
Listening for Conservation: Building Capacity for Acoustic Monitoring of Victoria’s Critically Endangered Species