José J. Lahoz‐Monfort

Consejo Superior de Investigaciones Científicas — Spain

Environmental Science · Physical Sciences

39h-index11.3kcitations117works0.42yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Species Distribution and Climate Change(51), Wildlife Ecology and Conservation(46), Ecology and Vegetation Dynamics Studies(29), Land Use and Ecosystem Services(8), Wildlife-Road Interactions and Conservation(8)

Publications117 total

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·2025Open Access
Which bird species respond most to forest structural variation? Implications for biodiversity indicators in Mediterranean forests
Forest Ecology and Management·2025Open Access
Testing the efficiency of thermal imagers for detecting arboreal marsupials in temperate forests
Wildlife Research·2025Open Access
The Freshwater Sounds Archive
2025· 2 citedOpen Access
Leveraging historical field notebooks to uncover continental‐scale patterns in the diversity of Australian grasshoppers
Insect Conservation and Diversity·2024Open Access
Spatial variation on the abundance of a threatened South American large herbivore using spatiotemporally replicated drone surveys
Biodiversity and Conservation·2023· 4 cited
Flexible species distribution modelling methods perform well on spatially separated testing data
Global Ecology and Biogeography·2023· 61 citedOpen Access
Developing a database of Australian grasshopper occurrences from historic field survey notebooks spanning 54 years (Orthoptera: Acrididae, Morabidae, Pyrgomorphidae, Tetrigidae)
Austral Entomology·2023· 3 citedOpen Access
Optimally designing drone‐based surveys for wildlife abundance estimation with N‐mixture models
Methods in Ecology and Evolution·2023· 24 citedOpen Access
Author response for "Optimally designing drone‐based surveys for wildlife abundance estimation with N‐mixture models"
2022
Author response for "Optimally designing drone‐based surveys for wildlife abundance estimation with N‐mixture models"
2022
Modelling species presence‐only data with random forests
Ecography·2021· 254 citedOpen Access
Predictive performance of presence‐only species distribution models: a benchmark study with reproducible code
Ecological Monographs·2021· 717 citedOpen Access
Drone Surveys Revealed Bottom-Up, And Not Top-Down, Effects On The Marsh Deer Local Abundance
2021· 1 citedOpen Access
Enhancing repository fungal data for biogeographic analyses
Fungal ecology·2021· 12 cited
A Comprehensive Overview of Technologies for Species and Habitat Monitoring and Conservation
BioScience·2021· 275 citedOpen Access
Cost-effectiveness of thermal imaging for monitoring a cryptic arboreal mammal
Wildlife Research·2021· 18 cited
Insectivorous bats are less active near freeways
PLoS ONE·2021· 10 citedOpen Access
Challenge 3: Preserving biodiversity and its functions under global change
2021
Assessing the accuracy of density‐independent demographic models for predicting species ranges
Ecography·2020· 5 citedOpen Access
page 1 of 6Next →

Frequent Co-authors

Gurutzeta Guillera‐Arroita(31), Jane Elith(18), Brendan A. Wintle(13), Roozbeh Valavi(6), Stephen N. Freeman(5), M. P. Harris(5), Sarah Wanless(5), Boris Schröder(4), Heini Kujala(4), Darren Southwell(4), Byron J. T. Morgan(4), Carsten F. Dormann(3), Michael A. McCarthy(3), Reid Tingley(3), Tianxiao Hao(3), Iadine Chadès(3), E.J. Milner‐Gulland(3), Emily Nicholson(3), David R. Roberts(2), Volker Bahn(2)