Boris LEROY
My research works consist in studying biodiversity patterns at large spatial scales, from species to communities. Specifically, I study biodiversity response to environmental changes (anthropic pressures, climate change, biological invasions). From my works I try to produce indicators useful for biodiversity conservation: indicators of state, response, and trajectories.
My objective is to study the multiple facets of communities (taxonomic diversity, trait / functional diversity, phylogenetic diversity, etc.) at large spatial scales, to better understand the multiple impacts of environmental changes on biodiversity and its multiple components.
I am also working on species response to global change, using species distribution models (SDMs). Currently I am trying to better understand the uncertainties of SDMs, and their real ability to correctly predict species distributions, particularly in a global change context. To this aim I developed an R package called ‘virtualspecies’. Virtualspecies provides a framework to simulate virtual species distributions, to test the capacity of SDMs to correctly predict species distributions, under different constraints/biases.
I teach courses in ecology, statistics and modelling and conservation biology in the masters of the Museum.
I am working closely with the ‘Service du Patrimoine Naturel’, an institute of the Museum which is responsible for compiling and mapping data on the biodiversity of France. I am therefore studying the databases of the ‘Inventaire National du Patrimoine Naturel’ (INPN – National Inventory of the Natural Heritage) to provide tools useful for nature managers, policy makers, such as biodiversity indicators.
Gallery
My Papers
2022
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. 2022. “Geographic And Taxonomic Trends Of Rising Biological Invasion Costs”. Science Of The Total Environment 817: 152948. doi:10.1016/j.scitotenv.2022.152948. https://linkinghub.elsevier.com/retrieve/pii/S0048969722000377.
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. 2022. “On The Road: Anthropogenic Factors Drive The Invasion Risk Of A Wild Solitary Bee Species”. Science Of The Total Environment 827: 154246. doi:10.1016/j.scitotenv.2022.154246. https://linkinghub.elsevier.com/retrieve/pii/S0048969722013389.
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. 2022. “Managing Biological Invasions: The Cost Of Inaction”. Biological Invasions 24 (7): 1927 - 1946. doi:10.1007/s10530-022-02755-0. https://link.springer.com/10.1007/s10530-022-02755-0.
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. 2022. “Analysing Economic Costs Of Invasive Alien Species With The Invacost R Package”. Methods In Ecology And Evolution 13 (9): 1930 - 1937. doi:10.1111/mee3.v13.910.1111/2041-210X.13929. https://doi.org/10.1111/2041-210X.13929.
Methods Ecol Evol - 2022 - Leroy - Analysing economic costs of invasive alien species with the invacost r package.pdf (872.22 KB) -
. 2022. “Knowledge Gaps In Economic Costs Of Invasive Alien Fish Worldwide”. Science Of The Total Environment 803: 149875. doi:10.1016/j.scitotenv.2021.149875. https://linkinghub.elsevier.com/retrieve/pii/S0048969721049500.
2021
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. 2021. “Economic Costs Of Invasive Alien Species In The Mediterranean Basin”. Neobiota 67: 427 - 458. doi:10.3897/neobiota.67.5892610.3897/neobiota.67.58926.suppl110.3897/neobiota.67.58926.suppl2. https://neobiota.pensoft.net/article/58926/. 2021 Kourantidou et al - NeoBiota Mediterranee.pdf (7.84 MB)
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. 2021. “European Small Pelagic Fish Distribution Under Global Change Scenarios”. Fish And Fisheries 22 (1): 212-225. doi:10.1111/faf.12515. https://onlinelibrary.wiley.com/doi/10.1111/faf.12515. FAF_Schickele et al 2020.pdf (1.63 MB)
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. 2021. “Biological Invasions In France: Alarming Costs And Even More Alarming Knowledge Gaps”. Neobiota 67: 191 - 224. doi:10.3897/neobiota.67.59134. https://neobiota.pensoft.net/article/59134/. 2021 Renault et al - NeoBiota France.pdf (1.12 MB)
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. 2021. “The Economic Costs Of Biological Invasions In Africa: A Growing But Neglected Threat?”. Neobiota 67: 11 - 51. doi:10.3897/neobiota.67.59132. https://neobiota.pensoft.net/article/59132/. 2021 Diagne et al - NeoBiota Africa.pdf (2.05 MB)
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. 2021. “Economic Costs Of Biological Invasions Within North America”. Neobiota 67: 485-510. 2021 Crystal-Ornelas et al. - NeoBiota North America.pdf (1.4 MB)
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. 2021. “High And Rising Economic Costs Of Biological Invasions Worldwide”. Nature 592 (7855): 571 - 576. doi:10.1038/s41586-021-03405-6. http://www.nature.com/articles/s41586-021-03405-6.
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. 2021. “Cumulative Effects Of Marine Renewable Energy And Climate Change On Ecosystem Properties: Sensitivity Of Ecological Network Analysis”. Ecological Indicators 121: 107128. doi:10.1016/j.ecolind.2020.107128. https://linkinghub.elsevier.com/retrieve/pii/S1470160X20310670.
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. 2021. “Economic Costs Of Invasive Alien Species Across Europe”. Neobiota 67: 153 - 190. doi:10.3897/neobiota.67.58196. https://neobiota.pensoft.net/article/58196/. 2021 Haubrock et al - NeoBiota Europe.pdf (2.3 MB)
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. 2021. “Detailed Assessment Of The Reported Economic Costs Of Invasive Species In Australia”. Neobiota 67: 511 - 550. doi:10.3897/neobiota.67.5883410.3897/neobiota.67.58834.suppl1. https://neobiota.pensoft.net/article/58834/. NB-67-511_article-58834_en_1.pdf (4.11 MB)
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. 2021. “Revisiting Species And Areas Of Interest For Conserving Global Mammalian Phylogenetic Diversity”. Nature Communications 12 (1). doi:10.1038/s41467-021-23861-y. http://www.nature.com/articles/s41467-021-23861-y.
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. 2021. “Impacts Of Climate Change On The Bay Of Seine Ecosystem: Forcing A Spatio‐Temporal Trophic Model With Predictions From An Ecological Niche Model”. Fisheries Oceanography 30 (5): 471 - 489. doi:10.1111/fog.v30.510.1111/fog.12531. https://onlinelibrary.wiley.com/toc/13652419/30/5.
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. 2021. “Anthropogenic Pressures Coincide With Neotropical Biodiversity Hotspots In A Flagship Butterfly Group”. Diversity And Distributions. doi:10.1111/ddi.13455. https://onlinelibrary.wiley.com/doi/10.1111/ddi.13455. ddi.13455.pdf (5.13 MB)
2020
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. 2020. “Matching Zooplankton Abundance And Environment In The South Indian Ocean And Southern Ocean”. Deep Sea Research Part I: Oceanographic Research Papers: 103347. doi:10.1016/j.dsr.2020.103347. https://linkinghub.elsevier.com/retrieve/pii/S0967063720301345.
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. 2020. “An Open-Source Framework To Model Present And Future Marine Species Distributions At Local Scale”. Ecological Informatics 59: 101130. doi:10.1016/j.ecoinf.2020.101130. https://linkinghub.elsevier.com/retrieve/pii/S1574954120300807.
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. 2020. “Modelling European Small Pelagic Fish Distribution: Methodological Insights”. Ecological Modelling 416: 108902. doi:10.1016/j.ecolmodel.2019.108902. https://linkinghub.elsevier.com/retrieve/pii/S0304380019304107.
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