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      Standardised spider (Arachnida, Araneae) inventory of Kilpisjärvi, Finland

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          Abstract

          Background

          A spider taxonomy and ecology field course was organised in Kilpisjärvi Biological Station, northern Finland, in July 2019. During the course, four 50 × 50 m plots in mountain birch forest habitat were sampled following a standardised protocol. In addition to teaching and learning about spider identification, behaviour, ecology and sampling, the main aim of the course was to collect comparable data from the Kilpisjärvi area as part of a global project, with the purpose of uncovering global spider diversity patterns.

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          A total of 2613 spiders were collected, of which 892 (34%) were adults. Due to uncertainty of juvenile identification, only adults are included in the data presented in this paper. The observed adult spiders belong to 51 species, 40 genera and 11 families, of which the Linyphiidae were the most rich and abundant with 28 (55%) species and 461 (52%) individuals. Lycosidae had six species and 286 individuals, Gnaphosidae five species and 19 individuals, Thomisidae four species and 24 individuals, Theridiidae two species and 23 individuals. All other six families had one species and less than 40 individuals. The most abundant species were the linyphiid Agnyphantes expunctus (204) and the lycosids Pardosa eiseni (164) and Pardosa hyperborea (107).

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          Most cited references14

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          Standardization and optimization of arthropod inventories—the case of Iberian spiders

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            A combined field survey and molecular identification protocol for comparing forest arthropod biodiversity across spatial scales

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              Gauging megadiversity with optimized and standardized sampling protocols: A case for tropical forest spiders

              Abstract Characterizing and monitoring biodiversity and assessing its drivers require accurate and comparable data on species assemblages, which, in turn, should rely on efficient and standardized field collection. Unfortunately, protocols that follow such criteria remain scarce and it is unclear whether they can be applied to megadiverse communities, whose study can be particularly challenging. Here, we develop and evaluate the first optimized and standardized sampling protocol for megadiverse communities, using tropical forest spiders as a model taxon. We designed the protocol COBRA‐TF (Conservation Oriented Biodiversity Rapid Assessment for Tropical Forests) using a large dataset of semiquantitative field data from different continents. This protocol combines samples of different collecting methods to obtain as many species as possible with minimum effort (optimized) and widest applicability and comparability (standardized). We ran sampling simulations to assess the efficiency of COBRA‐TF (optimized, non‐site‐specific) and its reliability for estimating taxonomic, phylogenetic, and functional diversity, and community structure by comparing it with (1) commonly used expert‐based ad hoc protocols (nonoptimized, site‐specific) and (2) optimal protocols (optimized, site‐specific). We then tested the performance and feasibility of COBRA‐TF in the field. COBRA‐TF yielded similar results as ad hoc protocols for species (observed and estimated) and family richness, phylogenetic and functional diversity, and species abundance distribution. Optimal protocols detected more species than COBRA‐TF. Data from the field test showed high sampling completeness and yielded low numbers of singletons and doubletons. Optimized and standardized protocols can be as effective in sampling and studying megadiverse communities as traditional sampling, while allowing data comparison. Although our target taxa are spiders, COBRA‐TF can be modified to apply to any highly diverse taxon and habitat as long as multiple collecting techniques exist and the unit effort per sample is comparable. Protocols such as COBRA‐TF facilitate studying megadiverse communities and therefore may become essential tools for monitoring community changes in space and time, assessing the effects of disturbances and selecting conservation areas.
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                Author and article information

                Contributors
                Journal
                Biodivers Data J
                Biodivers Data J
                1
                urn:lsid:arphahub.com:pub:F9B2E808-C883-5F47-B276-6D62129E4FF4
                urn:lsid:zoobank.org:pub:245B00E9-BFE5-4B4F-B76E-15C30BA74C02
                Biodiversity Data Journal
                Pensoft Publishers
                1314-2836
                1314-2828
                2020
                17 September 2020
                : 8
                : e56486
                Affiliations
                [1 ] Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland Department of Biological and Environmental Science, University of Jyväskylä Jyväskylä Finland
                [2 ] Laboratory for Integrative Biodiversity Research (LIBRe), Finnish Museum of Natural History (LUOMUS), University of Helsinki, Helsinki, Finland Laboratory for Integrative Biodiversity Research (LIBRe), Finnish Museum of Natural History (LUOMUS), University of Helsinki Helsinki Finland
                [3 ] Finnish Museum of Natural History (LUOMUS), University of Helsinki, Helsinki, Finland Finnish Museum of Natural History (LUOMUS), University of Helsinki Helsinki Finland
                [4 ] Molecular Ecology Group (MEG), Water Research Institute, National Research Council (CNR-IRSA), Verbania Pallanza, Italy Molecular Ecology Group (MEG), Water Research Institute, National Research Council (CNR-IRSA) Verbania Pallanza Italy
                Author notes
                Corresponding author: Pedro Cardoso ( pedro.cardoso@ 123456helsinki.fi ).

                Academic editor: Facundo Martín Labarque

                Author information
                https://orcid.org/0000-0001-7909-0173
                https://orcid.org/0000-0001-8939-930X
                https://orcid.org/0000-0002-4471-9055
                https://orcid.org/0000-0001-8119-9960
                Article
                56486 12856
                10.3897/BDJ.8.e56486
                7515933
                e52d6ac1-b6ae-4e45-9de4-896c9d4a325d
                Niina Kiljunen, Timo Pajunen, Caroline Fukushima, Arttu Soukainen, Jaakko Kuurne, Tuuli Korhonen, Joni Saarinen, Ilari Falck, Erkka Laine, Stefano Mammola, Fernando Urbano, Nuria Macías-Hernández, Pedro Cardoso

                This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 14 July 2020
                : 14 September 2020
                Page count
                Figures: 2, Tables: 2, References: 26
                Categories
                Data Paper (Biosciences)
                Araneae
                Biogeography
                Zoology & Animal Biology
                Biodiversity & Conservation
                Neogene
                Europe

                arthropoda ,biogeography,lapland,subarctic
                arthropoda , biogeography, lapland, subarctic

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