Biology and Fertility of Soils, Год журнала: 2024, Номер 60(8), С. 1055 - 1071
Опубликована: Авг. 6, 2024
Язык: Английский
Trends in Ecology & Evolution, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 1, 2024
Процитировано
4
Functional Ecology, Год журнала: 2024, Номер unknown
Опубликована: Дек. 20, 2024
Abstract Soil organic matter (SOM) transformation processes are regulated by the activities of plants, microbes, and fauna. Compared with plants effects soil fauna less understood because their high taxonomic functional diversity, mix direct indirect effect mechanisms. Trait‐based approaches offer a generic perspective to quantify mechanistic relationships between SOM transformations, including decomposition, translocation, stabilisation carbon. Yet, at present, we lack consensus concerning relevant key traits (i.e. those affecting ecosystem functioning). Here, address this knowledge gap focusing on transformations. Based existing literature, identify linked universally applicable across taxa types, discuss process‐trait links. We define eight that directly affected fauna: (i) litter mass loss, (ii) fragmentation, (iii) aggregation in faeces, (iv) mineral particles, (v) decomposition (vi) (vii) pore space creation maintenance (viii) stabilisation. link these general classified into four categories: (a) food selection ingestion, (b), digestion excretion, (c) mobility, (d) body metabolic rate. also propose proxies when trait measurements laborious. The proposed links need be validated targeted experiments. urge researchers obtain quantitative experimental data, together approaches, integratively contributions functioning. Read free Plain Language Summary for article Journal blog.
Язык: Английский
Процитировано
4
Journal of Sustainable Agriculture and Environment, Год журнала: 2025, Номер 4(1)
Опубликована: Фев. 6, 2025
ABSTRACT Multitrophic interactions in the soil food web represent an important factor shaping relationship between biodiversity and ecosystem functions (BEF) under changing environmental conditions. Despite some recent advancements, relative contribution, mechanisms by which multitrophic affect stability, however, remain poorly understood. Here, we provide overview of current understanding role BEF explore mechanistic pathways that may underpin their stability. We also discuss potential approaches to quantify contribution web. Specifically, highlight need for improvements empirical frameworks analytical tools quantifying strength these argue addressing key knowledge gaps understanding, research requires integration as a when predicting rate stability multifunctionality climatic
Язык: Английский
Процитировано
0
Опубликована: Янв. 1, 2024
Soil and soil-biodiversity protection are increasingly important issues in environmental science policies, requiring the availability of high-quality empirical data on soil biodiversity. Here we present a publicly available warehouse for domain, Edaphobase 2.0, which provides comprehensive toolset storing re-using international sets, following FAIR (Findable, Accessible, Interoperable, Reusable) principles. A major strength is possibility annotating biodiversity with exhaustive geographical, methodological metadata, allowing wide range applications analyses. The system harmonises integrates heterogeneous from diverse sources into standardised formats, can be searched together using numerous filter possibilities, offers exploration analysis tools. features strict transparency policy, quality control, DOIs provided individual sets. database currently contains >450,000 records >35,0000 sites accessed nearly 14,000 times/year. curated by 2.0 greatly aid researchers, conservationists decision makers understanding protecting
Язык: Английский
Процитировано
3
Proceedings of the Royal Society B Biological Sciences, Год журнала: 2024, Номер 291(2027)
Опубликована: Июль 31, 2024
In ecology and evolutionary biology, the synthesis modelling of data from published literature are commonly used to generate insights test theories across systems. However, tasks searching, screening, extracting often arduous. Researchers may manually process hundreds thousands articles for systematic reviews, meta-analyses, compiling synthetic datasets. As relevant expand tens or thousands, computer-based approaches can increase efficiency, transparency reproducibility literature-based research. Methods available text mining rapidly changing owing developments in machine learning-based language models. We review growing landscape approaches, mapping them onto three broad paradigms (frequency-based traditional Natural Language Processing deep models). This serves as an entry point learn foundational cutting-edge concepts, vocabularies, methods foster integration these tools into ecological cover texts, generating training data, developing custom models interacting with large discuss challenges possible solutions implementing evolution.
Язык: Английский
Процитировано
3
Journal of Animal Ecology, Год журнала: 2024, Номер 93(10), С. 1510 - 1523
Опубликована: Авг. 16, 2024
Arthropods play a vital role in ecosystems; yet, their distributions remain poorly understood, particularly mountainous regions. This study delves into the modelling of distribution 31 foliar arthropod genera French Alps, using comprehensive approach encompassing multi-trophic sampling, community DNA metabarcoding and random forest models. The results underscore significant importance vegetation structure, such as herbaceous density, density heterogeneity, along with climate, shaping most arthropods. These responses to environmental gradients are consistent across trophic groups, exception nectarivores, whose more sensitive landscape structure water availability. By leveraging metabarcoding, this sheds light on understudied drivers distributions, emphasizing diverse groups anticipate global change.
Язык: Английский
Процитировано
3
Applied Soil Ecology, Год журнала: 2024, Номер 204, С. 105710 - 105710
Опубликована: Окт. 28, 2024
Язык: Английский
Процитировано
3
Comptes Rendus Biologies, Год журнала: 2024, Номер 347(G1), С. 223 - 247
Опубликована: Ноя. 25, 2024
Recent climate and land use change, pollution have led to concerning alterations in biodiversity ecosystem functions, jeopardizing nature's contributions people. Mountainous regions are not immune these threats, experiencing the impacts of global warming, increased recreational activities, changes agricultural practices. Leveraging natural elevational gradients mountain environments, ORCHAMP program was established 2016 as a comprehensive initiative monitor, understand, predict repercussions environmental on associated functions French Alps Pyrenees.Beyond its monitoring role, has catalyzed development tools for data integration, statistical analyses, visualization, AI-based automated processing predictions. Through combination traditional sampling methods (e.g., botanical surveys) cutting-edge technologies (remote-sensing, DNA, video, acoustic sensors), offers holistic approach understanding how faces changes. By showcasing examples key results, this paper provides an overview ORCHAMP's advancements outlines potential future directions. The broad inclusion diverse techniques treatments positions pioneering effort, paving way long-term insights into dynamics—a crucial step toward effective conservation strategies. Les récents changements en matière de climat et d'utilisation des sols, ainsi que la pollution, ont entraîné altérations préoccupantes biodiversité fonctions écosystèmes, mettant péril les nature aux populations. régions montagneuses ne sont pas à l'abri ces menaces, subissant effets du réchauffement climatique, l'augmentation activités récréatives dans pratiques agricoles. Tirant parti d'altitude naturels environnements montagne, le programme été créé tant qu'initiative globale visant surveiller, comprendre prédire répercussions environnementaux sur écosystémiques associées Alpes Pyrénées françaises.Au-delà son rôle surveillance, promu développement d'outils pour l'intégration données, analyses statistiques, visualisation traitement automatisé données prédictions basées l'IA. Grâce une combinaison méthodes d'échantillonnage traditionnelles (par exemple, relevés botaniques) pointe (télédétection, ADN environnemental, pièges photos capteurs acoustiques), offre approche holistique comment fait face environnementaux. En présentant exemples résultats clés, cet article donne vue d'ensemble avancées d'ORCHAMP esquisse orientations futures potentielles. diverses surveillance figure pionnier ouvre voie compréhension long terme dynamique biodiversité, étape essentielle mise place stratégies efficaces.
Процитировано
2
Agriculture Ecosystems & Environment, Год журнала: 2024, Номер 370, С. 109058 - 109058
Опубликована: Май 8, 2024
In recent decades, there has been growing interest in exploring the soil biota, highlighting significance of organisms' networks functioning. Here, we use a modeling approach to investigate how changes cropping practices influence food web dynamics and it relates that an experimental trial, tested for change topsoil webs after shift from conventional alternative (changes tillage intensity, amount residues returned N fertilization rate). Samplings were made 16 plots randomized complete block design during spring year 0, 2 4 onset trial. Microorganisms, microfauna, mesofauna macrofauna sampled, identified grouped into trophic groups. We built general describing plausible carbon flows between these groups computed several network indices. At same dates, functions linked C measured samples. used COSTATIS analysis relationships temporal sequences Significant interactive effects date agricultural systems found on mean maximum level, bacterial-to-fungal path ratio, total biomass way accumulates across levels, number functional redundancy Similarly, organic matter transformations enzymatic activities showed differences systems. Results show structure processes related cycling co-vary following management practices. Management exerted stronger functioning than those export crop or reduction mineral fertiliser. For instance, reduced lead more complex webs, with increased mineralization upper layer (0–5 cm), which most accumulate. Our results provide insights dynamics, even within restricted panel suggest feedbacks organisms they perform, so co-structure can be observed studied site. Such work could help better understand mechanisms resistance ecological debt agroecological transition, limit delay expected Nature-based solutions.
Язык: Английский
Процитировано
1
Basic and Applied Ecology, Год журнала: 2024, Номер 80, С. 101 - 107
Опубликована: Сен. 2, 2024
Soil food webs were long considered an ecosystem sink for primary production and a black box of reticulated interactions. Quantification multiple changing interactions among consumers resources within beyond soil stands up as major challenge. In this mini-review/opinion paper, I present development ideas on food-web structure focusing resource omnivory – central characteristic that is linked to stability. There plenty empirical evidence trophic differentiation invertebrates along different dimensions (food resources, levels, microhabitats, time). This comes with the pervasive idea widespread in webs. argue we need quantitatively assess multiple-resource feeding by related drivers across various taxa types come closer predictions dynamics. At meta-ecosystem level, cross-ecosystem (i.e. energy fluxes from ecosystems) plays important role connecting aboveground aquatic Aboveground-belowground studies have been interfaces such rhizosphere litter surface. Broader cascading impacts organismic these recipient are, however, less understood. Of particular interest here are connections vertebrate communities soil-borne insects exchange. Interactions between span dozens hundreds meters terrestrial-aquatic interface, transferring significant amount matter ecosystems. Consequent changes functioning requires more attention, especially how biodiversity-ecosystem relationships manifest Continuously developing methods, compound-specific isotopic analyses, can facilitate quantification omnivory, helping understand effects borders. Overall, open dynamic pool call quantitative direction.
Язык: Английский
Процитировано
1