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dc.date.available
2025-05-20T09:30:58Z  
dc.identifier.citation
Epele, Luis Beltran; (2025): Datos crudos y códigos de R asociados a la publicación "Challenges and Solutions for Measuring Taxonomic Richness of Aquatic Invertebrates in Wetlands". Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/262036  
dc.identifier.uri
http://hdl.handle.net/11336/262036  
dc.description.abstract
1. Measurements of biodiversity are crucial to assessing the ecological integrity of ecosystems. However, adequately describing the range of organisms existing in habitats can be challenging, especially for the taxonomically rich invertebrates. 2. We analysed six large datasets designed to describe the taxonomic richness of aquatic invertebrate assemblages in depressional freshwater wetlands from various regions or locations (in North America, southern Africa and South America). Three of the datasets targeted large numbers of wetlands (57-163 sites), sampled once and the other three datasets repeatedly sampled over longer time periods (5-23 years), but targeted a smaller number of wetlands (10-18). 3. We estimated the total number of invertebrate taxa that likely existed for each target area (Chao estimator), as opposed to how much of that richness was actually collected by each effort (using taxon-accumulation curves). The most ambitious effort (17 wetlands, 23 years, 5-6 samplings per year) captured 95% of the aquatic invertebrate taxa projected to occur in the study area; none of the other five efforts captured appreciably more than 80% of the projected total richness per study area. 4. Findings suggest that capturing 90% or more of regional taxa is truly laborious and should not be a primary goal for efforts to sample the invertebrate fauna in wetlands. Objectives for sampling wetland invertebrates should be tailored to address what is realistic, knowing that as much as 30% of taxa may be missed by even ambitious efforts. 5. As a potential solution, we suggest setting feasible objectives for wetlands macroinvertebrate assessments. We recommend researchers try to reach a 70% study area richness target by sampling 60-80 wetlands once or smaller sets of wetlands for 2-3 years.  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.title
Datos crudos y códigos de R asociados a la publicación "Challenges and Solutions for Measuring Taxonomic Richness of Aquatic Invertebrates in Wetlands"  
dc.type
dataset  
dc.date.updated
2025-05-08T08:37:16Z  
dc.description.fil
Fil: Epele, Luis Beltran. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Centro de Investigación Esquel de Montaña y Estepa Patagóica. Universidad Nacional de la Patagonia "San Juan Bosco". Facultad de Ciencias Naturales - Sede Esquel. Centro de Investigación Esquel de Montaña y Estepa Patagónica; Argentina  
dc.datacite.PublicationYear
2025  
dc.datacite.Creator
Epele, Luis Beltran  
dc.datacite.affiliation
Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Centro de Investigación Esquel de Montaña y Estepa Patagóica. Universidad Nacional de la Patagonia "San Juan Bosco". Facultad de Ciencias Naturales - Sede Esquel. Centro de Investigación Esquel de Montaña y Estepa Patagónica  
dc.datacite.publisher
Consejo Nacional de Investigaciones Científicas y Técnicas  
dc.datacite.subject
Ecología  
dc.datacite.subject
Ciencias Biológicas  
dc.datacite.subject
CIENCIAS NATURALES Y EXACTAS  
dc.datacite.date
01/06/2024-05/05/2025  
dc.datacite.DateType
Creado  
dc.datacite.language
eng  
dc.datacite.version
1.0  
dc.datacite.description
We analyzed six datasets (data.RData) that incuded invertebrate taxa sampled in wetlands. Data include three spatial efforts collected in North Dakota (USA), Western Cape (South Africa) and Patagonia (Argentina); and three temporal efforts collected in North Dakota (USA), Georgia (USA), Patagonia (Argentina). Detail of data.RData: Spatial effort data frames: ND_spat: North Dakota (163 wetlands * 111 invertebrate taxa); SA_spat: South Africa (139 wetlands * 127 invertebrate taxa); PAT_spat: Patagonia (57 wetlands * 79 invertebrate taxa) Temporal effort data frames: ND_temp: North Dakota (17 wetlands * 23 years * 6 months per year * 155 invertebrate taxa). CB_temp: Georgia (10 wetlands * 6 years * 3 months per year * 83 invertebrate taxa). PAT_temp: Patagonia (18 wetlands * 5 years * 37 invertebrate taxa). All the R codes to analyze data and produce Fig. 2 and Fig. 3 are included in the R script "Challenges_solutions_richness_wetlands.R"  
dc.datacite.DescriptionType
Información Técnica  
dc.datacite.FunderName
Consejo Nacional de Investigaciones Científicas y Técnicas  
dc.datacite.FunderName
FULBRIGHT ARGENTINA  
dc.relationtype.isSourceOf
http://hdl.handle.net/11336/263978  
dc.subject.keyword
INSECTOS ACUÁTICOS  
dc.subject.keyword
BIOMONITOREO  
dc.subject.keyword
BIODIVERSIDAD  
dc.subject.keyword
TAXA RAROS  
dc.subject.keyword
CURVAS DE ACUMULACIÓN DE ESPECIES  
dc.datacite.resourceTypeGeneral
dataset  
dc.conicet.datoinvestigacionid
27282  
dc.conicet.justificacion
Es de alcance continental (América del Sur, América del Norte y África)  
dc.conicet.tieneObs
true  
dc.datacite.formatedDate
2024-2025