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    Réduction des émissions de méthane entérique chez les ruminants : enjeux, solutions et perspectives à l’échelle de l’animal et des systèmes d’élevage

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    International audienceReducing enteric methane emissions from ruminant livestock is a common goal of many countries to limit global warming. While direct measurements of enteric methane emissions are limited to a small number of animals, indirect predictive methods based on milk or feces can now be used to assess emissions from large numbers of animals in a variety of contexts. These approaches allow the development of genetic selection models and management practices associated with lower methane emissions for small and large ruminants. A better understanding of the relationships between rumen microbial diversity and the ruminant (host) will help to identify new solutions for modulating rumen microbial populations and hydrogen fluxes, with the aim of reducing methane emissions while maintaining animal production and health. Ruminant diets and herd management are important ways to reduce enteric methane emissions, but the practices are not always suitable for the different pedoclimatic contexts, particularly in hot regions. Trade-off must be evaluated to identify combinations of levers that can reduce enteric methane emissions without compromising the health of animals and the ecosystem services associated with ruminant livestock systems.La réduction des émissions de méthane entérique associées aux systèmes d’élevage de ruminants est l’un des objectifs de lutte contre le changement climatique pour de nombreux pays. Si les mesures directes des émissions de méthane entérique sont limitées dans leur déploiement à un petit nombre d’animaux, des méthodes indirectes de prédiction via le lait ou les fèces peuvent être appliquées à un grand nombre d’animaux dans des contextes variés. Ces approches permettent de développer de nouveaux modèles de sélection génétique ou de conduites d’élevage des petits et gros ruminants associées à des niveaux d’émissions de méthane entériques plus faibles. Les recherches pour comprendre les relations entre la diversité microbienne du rumen et les phénotypes des ruminants contribuent à l’identification de nouveaux leviers pour moduler les populations microbiennes et les flux d’hydrogène dans le rumen, avec l’ambition de réduire les émis-sions de méthane tout en préservant la production et la santé de l’animal. L’alimentation et la conduite des troupeaux constituent aussi des leviers d’intérêt, mais leurs effets sur la réduction des émissions de méthane entérique sont variables selon les contextes pédoclimatiques, notamment en régions chaudes. Des stratégies combinant différents leviers doivent être identifiées pour réduire efficacement les émissions de méthane sans compromettre la santé de l’animal et les services écosystémiques rendus par leurs systèmes d’élevage

    Spatio-temporal generation of precipitation using a Hidden Markov Model, extended extreme distributions and conditional Gaussian fields

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    Current weather generators struggle to capture large-scale spatio-temporal variability in rainfall occurrence and intensity. To address this challenge, this study develops a spatio-temporal weather generator for daily precipitation across multiple stations by extending the classical multivariate hidden Markov model to a spatial framework. Both occurrence and intensity processes are driven by spatio-temporal latent fields with distinct covariance structures, allowing for different dynamical behaviours. The rainfall intensity process is simulated conditionally on the occurrence process, ensuring continuity between dry and wet conditions in both time and space. Model inference relies on a novel hybrid Expectation-Maximisation algorithm designed to address the intractability of the complete likelihood, while achieving substantial computational gains compared to compositelikelihood EM approaches. The generator is applied to 51 years of daily precipitation data from 37 weather stations across France. Four interpretable hidden states are identified, whose most probable temporal sequence is consistent with known meteorological patterns. The generator is assessed through several model-agnostic metrics, targeting marginal, pairwise, spatial, and spatiotemporal properties. Results demonstrate that the proposed generator accurately reproduces rainfall statistics across a wide range of spatial and temporal scales, including droughts and extreme precipitation events, validating its relevance for climate impact assessment

    Spatio‐temporal patterns and risk factors of wild boar–pig farm contact across Europe

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    International audienceAbstract Diseases circulating at the wild–domestic animal interface are increasingly difficult to control due to human encroachment into wildlife habitats. Understanding the factors driving wild animals to visit livestock farms is crucial for reducing the risk of disease outbreaks with severe economic and social consequences. In this study, we quantified the contact rate at the wild boar–domestic pig interface across Europe using a large‐scale dataset of wild boar GPS tracking and domestic pig farm geolocations. We estimated wild boar contact rate with pig farms at hourly and monthly scales and analysed the influence of environmental, wild boar‐ and farm‐related variables. Across 187 tracked wild boars and 457 pig farms, we detected 3322 contact events, with a highly skewed contact distribution: only 5% of wild boars and 1% of farms accounted for 50% of all events. On average, each wild boar had 1.59 contacts per month with a given farm (95% CI: 1.33–1.85) and 2.58 contacts per month when considering all farms located within its monthly home range (95% CI: 1.62–3.53). Seasonal variation differed between sexes, with a bimodal distribution for males with contact rates peaking in March and August–September, and a slight increase in contact rate throughout winter for females. Monthly contact rate increased with forest cover, human footprint, wild boar population density and individual proximity to pig farms. Farms with more built infrastructure faced fewer contacts, and larger farms had higher contact rates. Contacts occurred mostly after sunset and around sunrise. Synthesis and applications . Our results highlight the need to incorporate wild boar spatio‐temporal behaviour and farm context into strategies aimed at reducing contact at the wild–domestic pig interface. While physical barriers and avoiding unintentional feeding remain essential, targeted measures during high‐risk periods, such as night‐time surveillance in summer and autumn, especially around large farms in wooded landscapes or areas with high wild boar density, could help reduce contact occurrence

    New species of Endaeus Schoenherr, 1826 (Curculionidae: Curculioninae: Ochyromerini) associated with Annonaceae and Clusiaceae

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    International audienceRepresentatives of the weevil tribe Ochyromerini (Coleoptera: Curculionidae: Curculioninae) have been increasingly reported as specialized pollinators of Annonaceae Juss., with some species in the genus Endaeus Schoenherr, 1826 engaging in brood-site pollination with their host. Recent investigations into the poorly documented life history of these pollinators have led to the discovery of new species in the genus Endaeus and provided details of their life histories. The following species are herein described: E. canangae Haran sp. nov. from Southeast Asia, associated with Cananga odorata (Lam.) Hook.f. and Thomson (Annonaceae); E. lenticulatus Haran sp. nov. from Central Africa, associated with Uvariodendron molundense (Diels) R.E.Fr. (Annonaceae); E. xylopiae Haran and Zelvelder sp. nov., E. jaculifer Haran and Zelvelder sp. nov. and E. convexiculus Haran and Zelvelder sp. nov. from Central Africa, associated with Xylopia aethiopica (Dunal) A.Rich. (Annonaceae) and E. staminicola Haran sp. nov. also from Central Africa, associated with Allanblackia floribunda Oliv. (Clusiaceae Lindl.). Pictures of habitus and terminalia of adults, molecular and morphological diagnostic tools along with life history data are provided for each species. These new associations are discussed in light of the general patterns of specialized brood-site pollination mutualism between plants and weevils

    Agronomic management and soil properties dominate the production of pulses in China

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    International audienceContextPlanting pulses can ensure food security and sustainable agriculture through increasing soil fertility, diversification of cropping systems, and nitrogen fixation. However, increasing the yield of pulses is an unresolved challenge due to the lack of understanding of the driving factors affecting it.Research questionsTo address this issue, a comprehensive analysis of the critical yield-limiting factors influencing pulse productivity is necessary. We synthesized national dataset of 304 observations across a north-south gradient of China to illustrate how climate (mean annual precipitation and temperature), soil properties (total carbon, total nitrogen, ammonium nitrogen, nitrate nitrogen, total phosphorus, Olsen-phosphorus, pH, electrical conductivity and soil texture) and management (fertilization, mulching film, cropping system, irrigation, selection of pulse species) affect yield of five main pulses: cowpea, faba bean, mung bean, pea and adzuki bean.ResultsThe average yield of cowpea, faba bean, mung bean, pea and adzuki bean were 1.31, 3.35, 1.39, 2.65, 1.81 t ha−1, respectively. The average yield change of pulses at the site level compared to the country-level is 33 % (ranging from −74–190 %). Management, soil properties and their interaction explained 94 % of the yield variation while the contribution of climate factors was minimal in the whole dataset. The contribution of key factors to yield depends on the selection of pulse species. Farmers should select pulse species suited best to local conditions, adopt mulching, optimize irrigation and fertilization to increase the yield of pulses.ConclusionsOverall, this analysis emphasized that proper agronomic management and soil properties are crucial for maximizing pulse production, offering practical guidance to raise productivity and support global food security

    Eco‐Evolutionary Drivers of Body Size Variation in Arthropods, With a Focus on Spiders

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    International audienceAim Body size has been used thoroughly in arthropod ecology as a reliable trait to assess fitness responses to changes in environmental factors. We aim to assess general patterns of intraspecific body size variation along macroecological gradients in arthropods. We more specifically discuss these patterns in spiders, as they represent a large and diverse group, colonising most terrestrial habitats. Location: Global. Time Period: 1982–2024. Major Taxa Studied: Arthropods. Methods We propose a systematic review and a meta‐analysis of 146 studies on intraspecific body size variation in arthropods over two main macroecological spatial gradients—latitude and elevation—both of high interest in a global warming context. Results We found that more species with direct than with indirect development present a converse Bergmann cline along both gradients. Main Conclusions We propose that life history traits such as voltinism, mobility and brood care influence intraspecific body size patterns—potentially hiding large‐scale patterns. This review gathers empirical data about body size variation along elevational and latitudinal gradients in arthropods, providing a step forward to a better understanding of the underlying mechanisms driving body size variation

    A dataset mapping the geographical distribution of past and present collective farmers’ stores in France

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    International audienceCollective farmers' stores (CFS) represent in France a unique model within alternative food networks, characterized by a collective governance exclusively managed by a group of farmers. These stores saw substantial growth in the country during the 2010-2020 decade. However, the post-COVID period, affected by inflation, appears to have sparked a wave of closures. To our knowledge, no systematic tracking of CFS openings and closures has been conducted in recent years in France, nor has any related data been made available for research purposes. Our objective was to identify all stores that have recently opened or closed, in order to analyze the expansion dynamics of this unique food retail model. By cross-referencing these data with other spatial factors — such as demographic, economic, and public policy information — it becomes possible to explore research questions that shed light on the determinants influencing the establishment or disappearance of these stores across different territories. We identified collective farmers’ stores and their location throughout France using three complementary methods: analyzing local daily newspapers, gathering participatory data through an interactive map, and sharing data via established partnerships with agricultural development organizations. We aimed to associate each store with its SIRET number (French business identification number) to enrich the data with opening and closure dates, as well as relevant administrative and economic details. Our final dataset includes 543 active stores in 2024, along with 105 that have closed over the past 15 year

    Thinning enhances hydraulic safety but not growth resistance to drought in Atlas cedar on the long-term

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    International audienceReducing forest stand density through thinning has the potential to improve tree vigor and mitigate hydraulic risk as it reduces competition for water, thereby improving soil water availability at the tree level. However, these positive effects might be compensated over time by the growth of the remaining trees and understory, an aspect that remains understudied. We investigated the long-term effects of thinning on vegetation regrowth, growth resistance to drought and hydraulic risk in a 1968 Cedrus atlantica plantation in southeastern France where contrasting thinning intensities were applied in 1992, resulting in stand densities of 1200 (unthinned control), 800, 600 and 400 trees.ha-1. Field measurements were conducted in 2017, 25 years after thinning, during the most severe drought since the trial's establishment. To explore underlying mechanisms, they were complemented by a modeling test using SurEau within the cohort-based model MEDFATE. Our results show that 25 years after thinning, despite similar stand leaf area index across all thinning treatments, trees in thinned stands exhibited significantly higher growth and reduced hydraulic risk (i.e., higher water potential, wider hydraulic safety margins, lower native embolism) than in the unthinned control. Model simulations suggest that this long-term reduction of hydraulic risk by thinning may result from niche partitioning between the overstory and the understory, either spatially (due to differences in rooting depth) or temporally (due to differences in ecophysiological properties). Interestingly, growth resistance to drought did not differ significantly among thinning treatments. Our results emphasize the potential long-lasting role of thinning in reducing hydraulic risk despite vegetation regrowth. Moreover, this study shows that ecophysiological indicators provide a more accurate understanding of tree drought responses during a specific drought event than the commonly used growth-based indicators

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