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Article Reference Unveiling the above-ground eukaryotic diversity supported by individual large old trees : the “Life on Trees” integrative protocol
Large tropical trees are rightly perceived as supporting a plethora of organisms. However, baseline data about the variety of taxa coexisting on single large tropical trees are lacking and prevent a full understanding of both the magnitude of biodiversity and the complexity of interactions among organisms in tropical rainforests. The two main aims of the research program “Life on Trees” (LOT) are (1) to establish baseline knowledge on the number of eukaryote species supported/hosted by the above-ground part of a single tropical tree and (2) to understand how these communities of organisms are assembled and distributed on or inside the tree. To achieve the first goal, we integrated a set of 36 methods for comprehensively sampling eukaryotes (plants, fungi, animals, protists) present on a tropical tree. The resulting LOT protocol was conceived and implemented during projects in the Andean Amazon region and is proposed here as a guideline for future projects of a similar nature. To address the second objective, we evaluated the microclimatic differences between tree zones and tested state-of-the-art terrestrial laser scanning (TLS) and positioning technologies incorporating satellite and fixed base station signals (dGNSS). A marked variation in temperature and relative humidity was detected along a 6-zones Johansson scheme, a tree structure subdivision system commonly used to study the stratification of epiphytic plants. Samples were collected from these six zones, including three along the trunk and three in the canopy. To better understand how different tree components (e.g., bark, leaves, fruits, flowers, dead wood) contribute to overall tree biodiversity, we categorized observations into communities based on Johansson zones and microhabitats. TLS was an essential aid in understanding the complex tree architecture. By contrast, the accuracy of positioning samples in the tree with dGNSS was low. Comprehensively sampling the biota of individual trees offers an alternative to assessing the biodiversity of fewer groups of organisms at the forest scale. Large old tropical trees provide a wealth of microhabitats that encompass a wide range of ecological conditions, thereby capturing a broad spectrum of biodiversity.
Located in Library / RBINS Staff Publications 2023
Inproceedings Reference Large old tropical trees as keystone biodiversity structures: the Life on Trees program
Association for Tropical Biology and Conservation annual meeting https://www.atbc2024.org Large old tropical trees as keystone biodiversity structures: the Life on Trees program Leponce Maurice1, Basset Yves2, Aristizábal-Botero Ángela1, Albán Castillo Joaquina3, Aguilar Rengifo Guillermo4, Barbut Jérôme5, Buyck Bart5, Butterill Phil6, Calders Kim7, Carrias Jean-François8, Catchpole Damien9, D’hont Barbara7, Delabie Jacques10, Drescher Jochen11, Ertz Damien12, Heughebaert André13, Hofstetter Valérie14, Leroy Céline15, Leveque Antoine16, Macedo Cuenca Victor4, Melki Frédéric17, Michaux Johan18, Ocupa Horna Luis19, Pillaca Huacre Luis3, Poirier Eddy20, Ramage Thibault21, Rougerie Rodolphe5, Rouhan Germinal5, Rufray Vincent17, Salas Guererro Marcos4, Scheu Stefan11, Schmidl Jürgen22, Silva Dávila Diana3, Valenzuela Gamarra Luis23, Vanderpoorten Alain18, Villemant Claire5, Youdjou Nabil1, Pascal Olivier17 1 Royal Belgian Institute of Natural Sciences, Vautier st. 29, Brussels, 1000, Belgium; 2 Smithsonian Tropical Research Institute, Panama; 3 Museo de Historia Natural, Universidad Nacional Mayor de San Marcos, Lima, Peru; 4 Servicio Nacional de Áreas Naturales Protegidas por el Estado, Ministerio del Ambiente, Peru; 5 Muséum national d'Histoire naturelle, Paris, France; 6 Biology Centre, Czech Academy of Sciences, České Budějovice,Czech Republic; 7 Ghent University, Belgium; 8 Université Clermont-Auvergne, Clermont-Ferrand, France; 9 Independent Consultant, Lima, Peru; 10 Centro de Pesquisas do Cacau – CEPEC, Itabuna, Brasil; 11 Göttingen University, Germany; 12 Meise Botanic Garden, Belgium; 13 Belgian Biodiversity Platform, Brussels, Belgium; 14 AGROSCOPE, Nyon, Switzerland; 15 AMAP (Univ. Montpellier, CIRAD, CNRS, INRAE, IRD), Montpellier, France; 16 PatriNat (OFB-CNRS-MNHN), Paris, France; 17 Fonds de Dotation Biotope Pour La Nature, Mèze, France; 18 Université de Liège, Belgique; 19 Centro de Investigación en Biología Tropical y Conservación, Piura, Perú ; 20 Independent entomologist, Cayenne, Guyane ; 21 Independent entomologist, Concarneau, France ; 22 Universität Erlangen-Nürnberg, Germany. ; 22 Jardín Botánico de Missouri, Peru E-mail: (presenting author): mleponce@naturalsciences.be The aim of the Life on Trees (LOT, www.lifeontrees.org) program is to generate baseline knowledge about the number of eukaryotic species that a single large mature tropical tree can host and to understand how these communities of organisms are assembled. The program is being undertaken in the Andean Amazon biodiversity hotspot. Our first project, LOT01 in the Andean foothills in 2022, located at 400m a.s.l., involved the study of a spectacular Dussia tessmannii tree (Fabaceae), towering at 50 meters in height and 45m wide. Our second project, LOT02 in the Andes in 2023, at 2450m a.s.l., focused on a 32-meter-tall Ficus americana subsp. andicola. Surveys were carried out by professional climbers, guided by experts of the different eukaryotic groups studied (plants, fungi, animals, protists). To better understand the contribution of different tree components (bark, leaves, fruits, flowers, living and dead wood) to overall tree biodiversity, we partitioned observations into communities based on vertical strata or microhabitat and will examine similarities and nestedness in the composition of these communities. Initial findings indicate that significant diversity is harbored by the individual tree at both locations (e.g., LOT01 vs LOT02: 42 vs 114 orchid species, 28 vs 28 fern species, 200+ vs 300+ bryophyte species, and 180 vs 100+ lichen species identified). These figures set world records for their respective elevations. This confirms that large old tropical trees are important pools of biodiversity, probably related to the variety of local microhabitats and tree age.
Located in Library / RBINS Staff Publications 2023
Article Reference Development of a Biofertilizer from Plant Growth Promoting Rhizobacteria Isolated from Millipede Fecal Pellets
Located in Library / RBINS Staff Publications 2024
Inbook Reference The faunal remains in Bukova Pusta IV
Located in Library / RBINS Staff Publications 2023
Article Reference Stick insects from Vietnam: The new genus Mycovartes gen. nov., with two new species and two new species of Neooxyartes Ho, 2018 (Phasmida: Lonchodidae: Necrosciinae)
Located in Library / RBINS Staff Publications 2023
Article Reference Control of simulated ocean ecosystem indicators by biogeochemical observations
To protect marine ecosystems threatened by climate change and anthropic stressors, it is essential to operationally monitor ocean health indicators. These are metrics synthetizing multiple marine processes relevant to the users of operational services. Here we assess if selected ocean indicators simulated by operational models can be controlled (here meaning constrained effectively) by biogeochemical observations, by using a newly proposed methodological framework. The method consists in firstly screening the sensitivities of the indicators with respect to the initial conditions of the observable variables. These initial conditions are perturbed stochastically in Monte Carlo simulations of one-dimensional configurations of a multi-model ensemble. Then, the models are applied in three-dimensional ensemble assimilation experiments, where the reduction of the ensemble variance corroborates the controllability of the indicators by the observations. The method is applied for ten relevant ecosystem indicators (ranging from inorganic chemicals to plankton production), seven observation types (representing data from satellite and underwater platforms), and an ensemble of five biogeochemical models of different complexity, employed operationally by the European Copernicus Marine Service. We demonstrate that all the indicators are controlled by one or more types of observations. In particular, the indicators of phytoplankton phenology are controlled and improved by the merged observations from the surface ocean colour and chlorophyll profiles. Similar observations also control and reduce the uncertainty of the plankton community structure and production. However, the uncertainty of the trophic efficiency and POC increases when assimilating chlorophyll-a data, though observations were not available to assess whether that was due to a worsen model skill. We recommend that the assessment of controllability proposed here becomes a standard practice in designing operational monitoring, reanalysis and forecast systems, to ultimately provide the users of operational services with more precise estimates of ocean ecosystem indicators.
Located in Library / RBINS Staff Publications 2023
Article Reference Chromosomal inversions from an initial ecotypic divergence drive a gradual repeated radiation of Galápagos beetles
Island faunas exhibit some of the most iconic examples where similar forms repeatedly evolve within different islands. Yet, whether these deterministic evolutionary trajectories within islands are driven by an initial, singular divergence and the subsequent exchange of individuals and adaptive genetic variation between islands remains unclear. Here, we study a gradual, repeated evolution of low-dispersive highland ecotypes from a dispersive lowland ecotype of Calosoma beetles along the island progression of the Galápagos. We show that repeated highland adaptation involved selection on multiple shared alleles within extensive chromosomal inversions that originated from an initial adaptation event on the oldest island. These highland inversions first spread through dispersal of highland individuals. Subsequent admixture with the lowland ecotype resulted in polymorphic dispersive populations from which the highland populations evolved on the youngest islands. Our findings emphasize the significance of an ancient divergence in driving repeated evolution and highlight how a mixed contribution of inter-island colonization and within-island evolution can shape parallel species communities.
Located in Library / RBINS Staff Publications 2023
Article Reference Promoting best practices in ocean forecasting through an Operational Readiness Level
Predicting the ocean state in a reliable and interoperable way, while ensuring high-quality products, requires forecasting systems that synergistically combine science-based methodologies with advanced technologies for timely, user-oriented solutions. Achieving this objective necessitates the adoption of best practices when implementing ocean forecasting services, resulting in the proper design of system components and the capacity to evolve through different levels of complexity. The vision of OceanPrediction Decade Collaborative Center, endorsed by the UN Decade of Ocean Science for Sustainable Development 2021-2030, is to support this challenge by developing a “predicted ocean based on a shared and coordinated global effort” and by working within a collaborative framework that encompasses worldwide expertise in ocean science and technology. To measure the capacity of ocean forecasting systems, the OceanPrediction Decade Collaborative Center proposes a novel approach based on the definition of an Operational Readiness Level (ORL). This approach is designed to guide and promote the adoption of best practices by qualifying and quantifying the overall operational status. Considering three identified operational categories - production, validation, and data dissemination - the proposed ORL is computed through a cumulative scoring system. This method is determined by fulfilling specific criteria, starting from a given base level and progressively advancing to higher levels. The goal of ORL and the computed scores per operational category is to support ocean forecasters in using and producing ocean data, information, and knowledge. This is achieved through systems that attain progressively higher levels of readiness, accessibility, and interoperability by adopting best practices that will be linked to the future design of standards and tools. This paper discusses examples of the application of this methodology, concluding on the advantages of its adoption as a reference tool to encourage and endorse services in joining common frameworks.
Located in Library / RBINS Staff Publications 2023
Article Reference Evaluation of operational ocean forecasting systems from the perspective of the users and the experts
Located in Library / RBINS Staff Publications 2023
Article Reference Ensemble analysis and forecast of ecosystem indicators in the North Atlantic using ocean colour observations and prior statistics from a stochastic NEMO–PISCES simulator
Located in Library / RBINS Staff Publications 2023