Introduction: Basic data on biodiversity, such as the variety of life forms coexisting on a single tree, are still lacking and prevent a full understanding of the complexity of interactions among organisms in a tropical rainforest. Filling this gap has recently become more achievable thanks to advances in canopy access methods and genetic tools. Objective: The main aims of the research program Life On Trees (LOT) are to generate baseline knowledge about the number of species a single tropical tree can support and to understand how these communities of organisms are assembled. Methods: Our first project is performed in one of the most biologically diverse regions: the Peruvian Amazon, in the Rio Abiseo National Park. We focus our sampling on a spectacular Dussia tree (Fabaceae), which is 50 m high and 45 m wide and covered with epiphytes. For safety reasons, the sampling is carried out by professional climbers, guided by experts of the different eukaryotic groups studied (plants, fungi, animals, protists). In order to better understand the contribution of different tree components (bark, leaves, fruits, flowers, dead wood) to overall tree biodiversity, we assign observations into communities based on height zone or microhabitat and examine similarities and nestedness in the composition of these communities. The complex architecture of the tree is studied using terrestrial LiDAR and the location of samples is recorded using a high precision differential GPS receiver (dGNSS). The collected specimens will be determined by classical taxonomy and genetic methods (DNA metabarcoding). An online tracking system for those specimens sent to taxonomists for identification, as well as a central database system, are already under development. Results: The first results of the LOT-Peru project from April-May 2022 and of the preliminary tests conducted in October 2021 will be presented. Implications: The scope of this program is not only scientific. Using the simple example of a large tree, we can reach out to the public and explain difficult concepts, such as what biodiversity is and how it is generated and sustained. In addition, the tree is a strong symbol that has an emotional impact. We hope that this program will build awareness about the impacts of deforestation, and conversely the value of conservation, by showing foresters, city dwellers or villagers that when a tree is cut down, a whole range of biodiversity disappears.
Located in
Library
/
RBINS Staff Publications 2022
Habitat fragmentation studies have produced complex results that are challenging to synthesize. Inconsistencies among studies may result from variation in the choice of landscape metrics and response variables, which is often compounded by a lack of key statistical or methodological information. Collating primary datasets on biodiversity responses to fragmentation in a consistent and flexible database permits simple data retrieval for subsequent analyses. We present a relational database that links such field data to taxonomic nomenclature, spatial and temporal plot attributes, and environmental characteristics. Field assessments include measurements of the response(s) (e.g., presence, abundance, ground cover) of one or more species linked to plots in fragments within a partially forested landscape. The database currently holds 9830 unique species recorded in plots of 58 unique landscapes in six of eight realms: mammals 315, birds 1286, herptiles 460, insects 4521, spiders 204, other arthropods 85, gastropods 70, annelids 8, platyhelminthes 4, Onychophora 2, vascular plants 2112, nonvascular plants and lichens 320, and fungi 449. Three landscapes were sampled as long-term time series (>10 years). Seven hundred and eleven species are found in two or more landscapes. Consolidating the substantial amount of primary data available on biodiversity responses to fragmentation in the context of land-use change and natural disturbances is an essential part of understanding the effects of increasing anthropogenic pressures on land. The consistent format of this database facilitates testing of generalizations concerning biologic responses to fragmentation across diverse systems and taxa. It also allows the re-examination of existing datasets with alternative landscape metrics and robust statistical methods, for example, helping to address pseudo-replication problems. The database can thus help researchers in producing broad syntheses of the effects of land use. The database is dynamic and inclusive, and contributions from individual and large-scale data-collection efforts are welcome.
Located in
Library
/
RBINS Staff Publications
