Cargando…
Gauging megadiversity with optimized and standardized sampling protocols: A case for tropical forest spiders
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 the...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5243776/ https://www.ncbi.nlm.nih.gov/pubmed/28116046 http://dx.doi.org/10.1002/ece3.2626 |
_version_ | 1782496575689326592 |
---|---|
author | Malumbres‐Olarte, Jagoba Scharff, Nikolaj Pape, Thomas Coddington, Jonathan A. Cardoso, Pedro |
author_facet | Malumbres‐Olarte, Jagoba Scharff, Nikolaj Pape, Thomas Coddington, Jonathan A. Cardoso, Pedro |
author_sort | Malumbres‐Olarte, Jagoba |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5243776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-52437762017-01-23 Gauging megadiversity with optimized and standardized sampling protocols: A case for tropical forest spiders Malumbres‐Olarte, Jagoba Scharff, Nikolaj Pape, Thomas Coddington, Jonathan A. Cardoso, Pedro Ecol Evol Original Research 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. John Wiley and Sons Inc. 2016-12-20 /pmc/articles/PMC5243776/ /pubmed/28116046 http://dx.doi.org/10.1002/ece3.2626 Text en © 2016 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Malumbres‐Olarte, Jagoba Scharff, Nikolaj Pape, Thomas Coddington, Jonathan A. Cardoso, Pedro Gauging megadiversity with optimized and standardized sampling protocols: A case for tropical forest spiders |
title | Gauging megadiversity with optimized and standardized sampling protocols: A case for tropical forest spiders |
title_full | Gauging megadiversity with optimized and standardized sampling protocols: A case for tropical forest spiders |
title_fullStr | Gauging megadiversity with optimized and standardized sampling protocols: A case for tropical forest spiders |
title_full_unstemmed | Gauging megadiversity with optimized and standardized sampling protocols: A case for tropical forest spiders |
title_short | Gauging megadiversity with optimized and standardized sampling protocols: A case for tropical forest spiders |
title_sort | gauging megadiversity with optimized and standardized sampling protocols: a case for tropical forest spiders |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5243776/ https://www.ncbi.nlm.nih.gov/pubmed/28116046 http://dx.doi.org/10.1002/ece3.2626 |
work_keys_str_mv | AT malumbresolartejagoba gaugingmegadiversitywithoptimizedandstandardizedsamplingprotocolsacasefortropicalforestspiders AT scharffnikolaj gaugingmegadiversitywithoptimizedandstandardizedsamplingprotocolsacasefortropicalforestspiders AT papethomas gaugingmegadiversitywithoptimizedandstandardizedsamplingprotocolsacasefortropicalforestspiders AT coddingtonjonathana gaugingmegadiversitywithoptimizedandstandardizedsamplingprotocolsacasefortropicalforestspiders AT cardosopedro gaugingmegadiversitywithoptimizedandstandardizedsamplingprotocolsacasefortropicalforestspiders |