ArticleEcology and evolution2017
Gauging megadiversity with optimized and standardized sampling protocols: A case for tropical forest spiders.
Article in Ecology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Inventory of arthropods (Arthropoda) through standardised protocols in the Teide National Park (Canary Islands, Spain).Biodiversity data journal · 2026Article
- Ecosystem services provided by spiders.Biological reviews of the Cambridge Philosophical Society · 2025Review
- Optimal inventorying and monitoring of taxonomic, phylogenetic and functional diversity.PloS one · 2024Article
- Comparative patterns in taxonomic and functional spider diversities between tropical vs. temperate forests.Ecology and evolution · 2020Article
- Standardised inventories of spiders (Arachnida, Araneae) of Macaronesia II: The native forests and dry habitats of Madeira archipelago (Madeira and Porto Santo islands).Biodiversity data journal · 2020Article
- Standardised spider (Arachnida, Araneae) inventory of Lammi, Finland.Biodiversity data journal · 2020Article
- Standardised spider (Arachnida, Araneae) inventory of Kilpisjärvi, Finland.Biodiversity data journal · 2020Article
- Standardised inventories of spiders (Arachnida, Araneae) of Macaronesia I: The native forests of the Azores (Pico and Terceira islands).Biodiversity data journal · 2019Article
- A DNA barcode-assisted annotated checklist of the spider (Arachnida, Araneae) communities associated to white oak woodlands in Spanish National Parks.Biodiversity data journal · 2018Article
- Gauging megadiversity with optimized and standardized sampling protocols: A case for tropical forest spiders.Ecology and evolution · 2017Article
- Standardized spider (Arachnida, Araneae) inventory of Hankoniemi, Finland.Biodiversity data journal · 2017Article
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Authors and funding
5 authors.
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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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