Auteurs, date et publication :

Auteurs Shirley J Serrano-Rojas , Andrius Pašukonis

Publication : Journal of Experimental Biology

Date : 2025

Volume : 224

Issue : 21

Pages : jeb243122


Catégorie(s)

#ANR-Citation #CNRS #FORET Nouragues

Auteurs, date et publication :

Auteurs Marie-Eugénie Maggia , Thibaud Decaëns , Emmanuel Lapied , Lise Dupont , Virginie Roy , Heidy Schimann , Jérôme Orivel , Jérôme Murienne , Christopher Baraloto , Karl Cottenie

Publication : Applied Soil Ecology

Date : 2025

Volume : 164

Pages : 103932


Catégorie(s)

#CNRS #FORET Nouragues

Auteurs, date et publication :

Auteurs Hervé Lormée , Rachel Berzins , Vincent Rocheteau , Fran De Coster , Thomas Denis , Cécile Richard-Hansen

Publication : Tropical Conservation Science

Date : 2025

Volume : 14

Pages : 19400829211026170


Catégorie(s)

#CNRS #FORET Nouragues

Auteurs, date et publication :

Auteurs Lynsay Spafford , Guerric Le Maire , Andrew MacDougall , Florian De Boissieu , Jean-Baptiste Feret

Publication : Remote Sensing of Environment

Date : 2025

Volume : 252

Pages : 112176


Catégorie(s)

#ANR-Citation #CNRS #FORET Nouragues

Auteurs, date et publication :

Auteurs Céline Leroy , Arthur QuyManh Maes , Eliane Louisanna , Heidy Schimann , Nathalie Séjalon‐Delmas

Publication : New Phytologist

Date : 2025


Catégorie(s)

#CNRS #FORET Nouragues

Auteurs, date et publication :

Auteurs Jérémy Lemaire , François Brischoux , Olivier Marquis , Rosanna Mangione , Paco Bustamante

Publication : Archives of Environmental Contamination and Toxicology

Date : 2025

Pages : 1-10


Catégorie(s)

#ANR-Citation #CNRS #FORET Nouragues

Résumé

Diet studies are essential to understand animal ecology and ecosystem dynamics, especially in the case of large omnivores. These studies are particularly relevant in areas where human disturbance is intense and, thus, species dietary patterns might change due to the easy accessibility of food resources of human origin, which may hinder the ecosystem services these species provide. We assessed the diet of brown bears (Ursus arctos) by DNA metabarcoding in Tatra National Park (southern Poland), a highly touristic protected area. Brown bears' diet showed a marked seasonality, a characteristic feature of brown bear populations relying on natural foods. Graminoids represented the main food during spring, while fleshy-fruited plants became more important from mid-summer. Fleshy-fruited plants were present in 56% of faeces and during the entire activity period of bears, revealing that fruits play a pivotal role in the feeding ecology of Tatra brown bears. Two berry species, Vaccinium myrtillus and Rubus idaeus, were the most frequently detected (in 42% and 20% of faeces, respectively). The large consumption of fleshy-fruited plants, and particularly of berries, suggests that, despite high levels of human disturbance in the area, brown bears still play a key role as seed dispersers. Management strategies focused on an effective waste management, control of berry picking, strict regulations about human activities in specific areas during sensitive periods in the feeding ecology of bears, and the lack of artificial food provisioning are crucial to ensure the seed dispersal processes and associated ecosystem services that bears and other frugivores provide.


Auteurs, date et publication :

Auteurs Alberto García-Rodríguez , Nuria Selva , Tomasz Zwijacz-Kozica , Jörg Albrecht , Clement Lionnet , Delphine Rioux , Pierre Taberlet , Marta De Barba

Publication : Biological Conservation

Date : 2025

Volume : 264

Pages : 109376


Catégorie(s)

#CNRS #eDNA

Résumé

Spatial rarity is often used to predict extinction risk, but rarity can also occur temporally. Perhaps more relevant in the context of global change is whether a species is core to a community (persistent) or transient (intermittently present), with transient species often susceptible to human activities that reduce niche space. Using 5-12 years of data on 1,447 plant species from 49 grasslands on 5 continents, we show that local abundance and species persistence under ambient conditions are both effective predictors of local extinction risk following experimental exclusion of grazers or addition of nutrients; persistence was a more powerful predictor than local abundance. While perturbations increased the risk of exclusion for low persistence and abundance species, transient but abundant species were also highly likely to be excluded from a perturbed plot relative to ambient conditions. Moreover, low persistence and low abundance species that were not excluded from perturbed plots tended to have a modest increase in abundance following perturbance. Lastly, even core species with high abundances had large decreases in persistence and increased losses in perturbed plots, threatening the long-term stability of these grasslands. Our results demonstrate that expanding the concept of rarity to include temporal dynamics, in addition to local abundance, more effectively predicts extinction risk in response to environmental change than either rarity axis predicts alone.


Auteurs, date et publication :

Auteurs Peter A. Wilfahrt , Ashley L. Asmus , Eric W. Seabloom , Jeremiah A. Henning , Peter Adler , Carlos A. Arnillas , Jonathan D. Bakker , Lori Biederman , Lars A. Brudvig , Marc Cadotte , Pedro Daleo , Anu Eskelinen , Jennifer Firn , W. Stanley Harpole , Yann Hautier , Kevin P. Kirkman , Kimberly J. Komatsu , Ramesh Laungani , Andrew MacDougall , Rebecca L. McCulley

Publication : Ecology

Date : 2025

Volume : n/a

Issue : n/a

Pages : e03504


Catégorie(s)

#CEREEP #CNRS #ENS

Résumé

Climate change impacts forest functioning and dynamics, and large uncertainties remain regarding the interactions between species composition, demographic processes and environmental drivers. There are few robust tools available to link these processes, which precludes accurate projections and recommendations for long-term forest management. Forest gap models present a balance between complexity and generality and are widely used in predictive forest ecology. However, their relevance to tackle questions about the links between species composition, climate and forest functioning is unclear. In this regard, demonstrating the ability of gap models to predict the growth of forest stands at the annual parameterization scale resolution—representing a sensitive and integrated signal of tree functioning and mortality risk—appears as a fundamental step. In this study, we aimed at assessing the ability of a gap model to accurately predict forest growth in the short term and potential community composition in the long term, across a wide range of species and environmental conditions. To do so, we present the gap model ForCEEPS, calibrated using an original parameterization procedure for the main tree species in France. ForCEEPS was shown to satisfactorily predict forest annual growth (averaged over a few years) at the plot level from mountain to Mediterranean climates, regardless of the species. Such an accuracy was not gained at the cost of losing precision for long-term predictions, as the model showed a strong ability to predict potential community compositions. The mechanistic relevance of ForCEEPS parameterization was explored by showing the congruence between the values of key model parameter and species functional traits. We further showed that accounting for the spatial configuration of crowns within forest stands, the effects of climatic constraints and the variability of shade tolerances in the species community are all crucial to better predict short-term productivity with gap models. Synthesis. The dual ability of predicting short-term functioning and long-term community composition, as well as the balance between generality and realism (i.e. predicting accuracy) of the new generation of gap models may open great perspectives for the exploration of the biodiversity–ecosystem functioning relationships, species coexistence mechanisms and the impacts of climate change on forest ecosystems. A free Plain Language Summary can be found within the Supporting Information of this article.


Auteurs, date et publication :

Auteurs Xavier Morin , Harald Bugmann , François de Coligny , Nicolas Martin-StPaul , Maxime Cailleret , Jean-Marc Limousin , Jean-Marc Ourcival , Bernard Prevosto , Guillaume Simioni , Maude Toigo , Michel Vennetier , Eugénie Catteau , Joannès Guillemot

Publication : Functional Ecology

Date : 2025

Volume : 35

Issue : 4

Pages : 955-975


Catégorie(s)

#CNRS #FORET FontBlanche #FORET Puechabon #INRAE

Résumé

A host-plant and its associated microbiota depend on one another. However, the assembly process and the functioning of host-associated microbiota are poorly understood. Herein, rice was used as model plant to investigate the assemblage of bacterial microbiota, including those in the seed, root endosphere and rhizosphere. We also assessed the degree to which endosphere and rhizosphere communities were influenced by vertical transmission through seed and identified the core microbes that potentially associated with plant phenotypic properties. Plant microhabitat, rather than subspecies type, was the major driver shaping plant-associated bacterial microbiota. Deterministic processes were primarily responsible for community assembly in all microhabitats. The influence of vertical transmission from seed to root-associated bacterial communities appeared to be quite weak (endosphere) or even absent (rhizosphere). A core microbial community composed of 15 generalist species persisted across different microhabitats and represented key connectors in networks. Host-plant functional traits were linked to the relative abundance of these generalist core microbes and could be predicted from them using machine learning algorithms. Overall, bacterial microbiota is assembled by host-plant interactions in a deterministic-based manner. This study enhances our understanding of the driving mechanisms and associations of microbiota in various plant microhabitats and provides new perspectives to improve plant performance.


Auteurs, date et publication :

Auteurs Junjie Guo , Ning Ling , Yong Li , Kaisong Li , Huiling Ning , Qirong Shen , Shiwei Guo , Philippe Vandenkoornhuyse

Publication : New Phytologist

Date : 2025

Volume : 230

Issue : 5

Pages : 2047-2060


Catégorie(s)

#CNRS #EcoGenO #Université de Rennes