EDP Foz Tua: Bat Habitats - Ecological Compensatory Measures Monitoring Programs [2011-2017]

The dataset contains records of bats (Chiroptera) collected in the lower valley of River Tua. Data were collected in the scope of the Ecological Monitoring Program (PME) and Program of Mitigation/Compensation Measures (PMC) of the Foz Tua Hydroelectric Dam, promoted by EDP – Energias de Portugal, S.A. Data were collected from August 2011 to October 2017 during field visits to 57 points located in suitable foraging habitats for bats, within a 5-km radius buffer around the lower valley of River Tua. The presence and identity of the bat species were assessed by acoustic sampling of the echo-location calls emitted in fligth. The records include taxa identified at the species, genus, family or order level, as well as several potential species present in 23 acoustic “species complexes”.

Identification

Alternate Identifier: 5b345642-64b5-4115-86b7-ba64d8e2c15b

Publication Date: 2019-11-13

Title: EDP Foz Tua: Bat Habitats - Ecological Compensatory Measures Monitoring Programs [2011-2017]

Abstract: The dataset contains records of bats (Chiroptera) collected in the lower valley of River Tua. Data were collected in the scope of the Ecological Monitoring Program (PME) and Program of Mitigation/Compensation Measures (PMC) of the Foz Tua Hydroelectric Dam, promoted by EDP – Energias de Portugal, S.A. Data were collected from August 2011 to October 2017 during field visits to 57 points located in suitable foraging habitats for bats, within a 5-km radius buffer around the lower valley of River Tua. The presence and identity of the bat species were assessed by acoustic sampling of the echo-location calls emitted in fligth. The records include taxa identified at the species, genus, family or order level, as well as several potential species present in 23 acoustic “species complexes”.

purpose: This dataset is part of a broader initiative whereby the company EDP - Energias de Portugal S.A. will made available biodiversity data collected during impact assessment and biological monitoring studies.

Dataset Language: ENGLISH

Dataset Creator: BioInsight - Hugo Costa (General Coordinator (1))

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2675-690 Odivelas
,
PORTUGAL

Dataset Creator: Bioinsight - Salgueiro Nuno (General Coordinator (2))

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2675-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Sílvia Mesquita (General Coordinator (3))

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2675-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Miguel Mascarenhas (General Coordinator (4))

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2675-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Ana Teresa Marques (Coordinator)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2675-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Helena Coelho (Fieldwork Coordinator)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2675-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Luís Braz (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Rui Gonçalves (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Cláudia Ferraz (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: Profico Ambiente e Ordenamento Lda - Susana Batista (General Coordinator)

Rua Alfredo da Silva, 11B
,
Lisbon
,
1300-040 Lisboa
,
PORTUGAL

Dataset Creator: Profico Ambiente e Ordenamento Lda - Sérgio Bruno Ribeiro (Fieldwork Coordinator)

Rua Alfredo da Silva, 11B
,
Lisbon
,
1300-040 Lisboa
,
PORTUGAL

Dataset Creator: Profico Ambiente e Ordenamento Lda - José Lemos (Technician)

Rua Alfredo da Silva, 11B
,
Lisbon
,
1300-040 Lisboa
,
PORTUGAL

Dataset Creator: Profico Ambiente e Ordenamento Lda - Paulo Santos (Technician)

Rua Alfredo da Silva, 11B
,
Lisbon
,
1300-040 Lisboa
,
PORTUGAL

Dataset Creator: Bionsight - Dárcio Sousa (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - João Paula (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - José Oliveira (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Marco Caetano (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Rui Silva (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Bárbara Monteiro (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Pedro Pereira (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Margarida Silva (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Catarina Ferreira (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Fernanda Pereira (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Tiago Neves (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Joana Magalhães (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Fernando Romão (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Margarida Augusto (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Mário Carmo (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - João Santos (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Luís Queirós (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Mafalda Moreira (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Dataset Creator: BioInsight - Joana Santos (Technician)

Rua Antero de Quental, Nº52 Loja B
,
Odivelas
,
2765-690 Odivelas
,
PORTUGAL

Metadata Provider: CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto - Tiago Múrias (Researcher)

Campus Agrário de Vairão
,
Vairão
,
4485-661 Vairão
,

Dataset Contact: EDP - Energias de Portugal - João Madeira (Manager)

Av. 24 de Julho, 12, Torre Nascente, Piso 4
,
Lisbon
,
1249-300 Lisboa
,
PORTUGAL

Keywords (GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type.xml)

occurrence

Keywords (NA)

Bats; observation; hibernation; reproduction; refuges; roosts

Geographic Coverage

Geographic Description: The data were collected within a 5-km radius buffer around the lower valley of River Tua (Northeast Portugal), up to 45 km from the mouth, in the municipalities of Alijó, Carrazeda de Ansiães, Vila Flor, Mirandela and Murça.

Bounding Box

West Bounding Coordinate: -7.605

East Bounding Coordinate: -7.136

North Bounding Coordinate: 41.622

South Bounding Coordinate: 41.175

Temporal Coverage

Range of Dates

Begin Date: 2011-08-02

End Date: 2017-10-01

Taxonomic Coverage

General Taxonomic Coverage: The taxonomic coverage of this dataset spans 1 phylum, 1 class, 1 order, 4 families, 10 genus and 15 species positively identified. Additionally, a set of 9 potential species may be present in the 23 “species complexes” identified.

Taxonomic Classification

Taxonomic Rank Name: Phylum

Taxonomic Rank Value: Chordata

Taxonomic Classification

Taxonomic Rank Name: Class

Taxonomic Rank Value: Mammalia

Taxonomic Classification

Taxonomic Rank Name: Order

Taxonomic Rank Value: Chiroptera

Taxonomic Classification

Taxonomic Rank Name: Family

Taxonomic Rank Value: Vespertilionidae

Taxonomic Classification

Taxonomic Rank Name: Family

Taxonomic Rank Value: Miniopteridae

Taxonomic Classification

Taxonomic Rank Name: Family

Taxonomic Rank Value: Rhinolophidae

Taxonomic Classification

Taxonomic Rank Name: Family

Taxonomic Rank Value: Molossidae

License Information

Intellectual Rights

This work is licensed under a

Creative Commons Attribution (CC-BY) 4.0 License

Additional Metadata

Metadata

GBIF Metadata Block

Date Stamp: 2021-11-29T09:08:02Z

Citation: Costa H, Nuno S, Mesquita S, Mascarenhas M, Marques A T, Coelho H, Braz L, Gonçalves R, Ferraz C, Batista S, Ribeiro S B, Lemos J, Santos P, Sousa D, Paula J, Oliveira J, Caetano M, Silva R, Monteiro B, Pereira P, Silva M, Ferreira C, Pereira F, Neves T, Magalhães J, Romão F, Augusto M, Carmo M, Santos J, Queirós L, Moreira M, Santos J, Múrias T (2019). EDP Foz Tua: Bat Habitats - Ecological Compensatory Measures Monitoring Programs [2011-2017]. Version 1.3. EDP - Energias de Portugal. Sampling event dataset https://doi.org/10.15468/gcrdq5 accessed via GBIF.org on 2021-11-29.

Bibliography: Silva, B, Jacinto, G, Infante, P, Barreiro, S Alves, P (2013) In Maia, M, Campos, P Duarte Silva, P (eds.): Identificação automatizada de morcegos através de modelos estatísticos. In Estatística : novos desenvolvimentos e inspirações. Edições SPE, Lisboa. pp.257-270

Logo URL: http://ipt.gbif.pt/ipt/logo.do?r=edp_sabor_herpetology_baseline

• Project

Title: EDP Foz Tua: Bat Habitats - Ecological Compensatory Measures Monitoring Programs [2011-2017]

Personnel

Individual Name

Given Name: Hugo

Surname: Costa

Role: AUTHOR

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Given Name: Nuno

Surname: Salgueiro

Role: AUTHOR

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Given Name: Sílvia

Surname: Mesquita

Role: AUTHOR

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Given Name: Miguel

Surname: Mascarenhas

Role: AUTHOR

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Given Name: Ana Teresa

Surname: Marques

Role: AUTHOR

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Given Name: Helena

Surname: Coelho

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Given Name: Luís

Surname: Braz

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Given Name: Rui

Surname: Gonçalves

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Given Name: Cláudia

Surname: Ferraz

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Given Name: Susana

Surname: Batista

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Given Name: Sérgio Bruno

Surname: Ribeiro

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Given Name: Dárcio

Surname: Sousa

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Given Name: João

Surname: Paula

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Given Name: José

Surname: Oliveira

Role: AUTHOR

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Given Name: Marco

Surname: Caetano

Role: AUTHOR

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Given Name: Rui

Surname: Silva

Role: AUTHOR

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Given Name: Bárbara

Surname: Monteiro

Role: AUTHOR

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Given Name: Pedro

Surname: Pereira

Role: AUTHOR

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Given Name: Margarida

Surname: Silva

Role: AUTHOR

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Given Name: Catarina

Surname: Ferreira

Role: AUTHOR

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Given Name: Fernanda

Surname: Pereira

Role: AUTHOR

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Given Name: Tiago

Surname: Neves

Role: AUTHOR

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Given Name: Joana

Surname: Magalhães

Role: AUTHOR

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Given Name: Fernado

Surname: Romão

Role: AUTHOR

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Individual Name

Given Name: Margarida

Surname: Augusto

Role: AUTHOR

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Given Name: Mário

Surname: Carmo

Role: AUTHOR

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Given Name: João

Surname: Santos

Role: AUTHOR

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Given Name: Luís

Surname: Queirós

Role: AUTHOR

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Given Name: Mafalda

Surname: Moreira

Role: AUTHOR

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Given Name: Joana

Surname: Santos

Role: AUTHOR

Personnel

Individual Name

Given Name: Tiago

Surname: Múrias

Role: ADMINISTRATIVE_POINT_OF_CONTACT

Personnel

Individual Name

Given Name: José

Surname: Lemos

Role: AUTHOR

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Given Name: Paulo

Surname: Santos

Role: AUTHOR

Abstract: The dataset contains records of bats (Chiroptera) collected in suitable foraging habitats along the lower valley of River Tua. Data were collected in the scope of the Ecological Monitoring Program (PME) and Program of Mitigation/Compensation Measures (PMC), promoted by EDP – Energias de Portugal, S.A. Data were collected between August 2011 and October 2017, during field visits to 57 sampling points, stratified by habitat, within a 5-km radius buffer around the lower valley of River Tua. The occurrence of the target taxa was documented through 8269 observation events. In total, 16 taxa were identified, 15 to the species rank and 5 to the genus rank. The 23 “species complexes” identified could potentially add 9 more species to the list. The most common species (>1000 records) were Pipistrellus pygameus (1288 records), P. kuhlii (1272), P. pipistrelus (1247) and Tadarida teniotis (1223). The “species complex” Pipistrellus pygmaeus/Miniopterus schreibersii, with 616 records was also relevant. A substantial number of records (643) could not be identified beyond the Order.

Funding: The work was funded by EDP - Energias de Portugal, S.A.

Study Area Description

Descriptor: The study was conducted in part of the sub-basin of river Tua directly or indiirectly affected by the construction of the Foz-Tua Hydroelectric Dam. The sampling area covered a radius of 5 km centered in the river margins, up to a length of about 45 km from the Tua mouth.

Design Description

Description: The objective of the study was to monitor the use of foraging habitats by bats in the reproduction (April-August) and dispersion (September-October) periods, in the area of the Foz Tua Hydroelectric Dam during its construction (2011-2015) and subsequent flooding of the river valley (2016-2017)

• Method

Method Step

Description: To be completed

Sampling

Study Extent: The data were collected within a 5-km radius buffer around the lower valley of River Tua (Northeast Portugal), up to 45 km from the mouth, in the municipalities of Alijó, Carrazeda de Ansiães, Vila Flor, Mirandela and Murça.

Sampling Description

Sampling was designed to cover all suitable foraging habitats for bats in the study area. A stratified sampling procedure was used, with the number of samples allocated to each habitat in proportion to the area occupied and/or its significance for bats. A total of 57 sampling points was set in natural woodlands (10), forest plantations (mostly Eucalyptus and Pinus), (9) river margins (10), shrublands (9), orchards/olive orchards (6), vineyards (6) and dryland crops (7). Each point was visited 2-4 times per year in 2011-2014, and monthly (March - October) from 2014 to 2017. Acoustic sampling was made within ± 3 hours of sunset, beginning 30 minutes after it. Each point was sampled for 10 consecutive minutes.

The detection of the specimens in flight was made with a bat detector (Pettersson Elektronik, D240X model), with a frequency range of 10-120 kHz. The detector was connected to an automatic digital recorder (model Sony ICD-PX312) which saved the recordings in a “Wave” format, at a frequency of 44 kHz and at an expanded mode of 10x, making them audible to the human ears while, at the same time, preserving the original acoustic characteristics.

From 2011 to 2013 the analyses of bat sound records used the manual/traditional methodology based on the the software “Batsound Pro – Sound Analysis”, from Pettersson Elektronik. This software generates graphics (oscillograms, sonograms and power spectrums) that allow the identification of the detected species by comparing them with those available in reference bat sound libraries. The acoustic variables usually employed to manually identify the sounds are (1) the structure of the pulse, (2) the frequency of maximum energy (kHz), (3) the range of frequencies (kHz), (4) the pulse duration (ms), (5) the interval between pulses (ms), and (6) the pulse repetition rate (Hz).

From 2014 onwards, a more automated and expeditious method based in a model developed by Silva et al. (2013) was employed for species identification. A semi-automatic program provided 19 diagnostic parameters of the pulses (16 spectral and 3 temporal parameters). Subsequently, a probabilistic model (Artificial Neural Networks, ANN) was run to compare these parameters with those of a reference database of more than 16000 individual pulses from 1400 individuals of 9 genera recorded in Continental Portugal. The ANN attributed the pulses to a species or group of species (phonic group or “species complex”), with an associated probability of certainty. The results of the classification model showed an average sensitivity of 95% and an average error of 4%. Only the classifications with a probability greater than 70% were considered correct. When the above threshold was not reached by the model, the records were analyzed by the manual/traditional method described above.

The exact identification of the bat species by sound analysis is not always possible, due to problems in detectability and/or identifiability. In the context of this work, whenever it was not possible to perform the identification until the species, the binomials, multinomials or genera to which the identification was possible were considered to be present. Thus, the presence of all species constituting these phonic groups (or “species complexes”) was considered possible.

qualityControl

Description: All identifications were performed by qualified technicians

Default

Identification

Geographic Coverage

Bounding Box

Temporal Coverage

Range of Dates

Taxonomic Coverage

Taxonomic Classification

Taxonomic Classification

Taxonomic Classification

Taxonomic Classification

Taxonomic Classification

Taxonomic Classification

Taxonomic Classification

License Information

Additional Metadata

Metadata

GBIF Metadata Block

Project

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