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2. MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in Portugal

Author

Grilo, Clara, Afonso, Beatriz C., Afonso, Filipe, Alexandre, Marta, Aliácar, Sara, Almeida, Ana, Alonso, Ivan Prego, Álvares, Francisco, Alves, Paulo, Alves, Paulo Célio, Alves, Pedro, Amado, Anabela, Amendoeira, Vitor, Amorim, Francisco, da Silva Aparício, Guilherme, Araújo, Ricardo, Ascensão, Fernando, Augusto, Margarida, Bandeira, Victor, Barbosa, A. Márcia, Barbosa, Soraia, Barbosa, Sérgio, Barreiro, Silvia, Barros, Paulo, Barros, Tânia, Barros, Filomena, Basto, Mafalda, Bernardino, Joana, Bicho, Sara, Biedma, Luis Eduardo, Borges, Marta, Braz, Luis, Brito, José Carlos, Brito, Tiago, Cabral, João Alexandre, Calzada, Javier, Camarinha, Cláudia, Carapuço, Mafalda, Cardoso, Paulo, Carmo, Mário, Carrapato, Carlos, da Silva Carrilho, Maílis, Carvalho, Diogo Filipe T. C. S., Carvalho, Filipe, Carvalho, João, Castro, Diana, Castro, Guilherme, Castro, Joana, Castro, Luis Roma, Catry, Filipe Xavier, Cerveira, Ana M., Cid, André, Clarke, Rafael, Conde, Conceição, Conde, José, Costa, Jorge, Costa, Mafalda, Costa, Pedro, Costa, Cristina, do Couto, André Pedro, Craveiro, João, Dias, Marta, Dias, Sofia, Duarte, Beatriz, Duro, Virginia, Encarnação, Cláudia, Eufrázio, Sofia, Fael, António, Falé, João Salvador, Faria, Sandra, Fernandes, Carlos, Fernandes, Margarida, da Costa, Gonçalo Ferrão, Ferreira, Clara, Ferreira, Diogo F., Ferreira, Eduardo, Ferreira, Joaquim Pedro, Ferreira, João, Ferreira, Diana, Fonseca, Carlos, Fontes, Inês, Fragoso, Ricardo, Franco, Claudia, Freitas, Tamira, Gabriel, Sofia I., Gibb, Rory, Gil, Patricia, Gomes, Carla Patricia Jorge, Horta, Pedro, Gomes, Pedro, Gomes, Verónica, Grilo, Filipa, Guedes, Américo, Guilherme, Filipa, Gutiérrez, Iván, Harper, Henry, Herrera, José M., Hipólito, Dário, Infante, Samuel, Jesus, José, Jones, Kate E., Laborde, Marina I., de Oliveira, Luís Lamas, Leitão, Inês, Lemos, Rita, Lima, Cátia, Linck, Paloma, Lopes, Hugo, Lopes, Susana, López-Baucells, Adrià, Loureiro, Armando, Loureiro, Filipa, Lourenço, Rui, Lourenço, Sofia, Lucas, Paula, Magalhães, Ana, Maldonado, Cristina, Marcolin, Fabio, Marques, Sara, Marques, J. Tiago, Marques, Carina, Marques, Paulo, Marrecas, Pedro Caetano, Martins, Frederico, Martins, Raquel, Mascarenhas, Miguel, Mata, Vanessa A., Mateus, Ana Rita, Matos, Milene, Medinas, Denis, Mendes, Tiago, Mendes, Gabriel, Mestre, Frederico, Milhinhas, Catarina, Mira, António, Monarca, Rita I., Monteiro, Norberto, Monteiro, Barbara, Monterroso, Pedro, Nakamura, Mónia, Negrões, Nuno, Nóbrega, Eva K., Nóvoa, Miguel, Nunes, Manuel, Nunes, Nuno Jardim, Oliveira, Flávio, Oliveira, José Miguel, Palmeirim, Jorge M., Pargana, João, Paula, Anabela, Paupério, Joana, Pedroso, Nuno M., Pereira, Guilherme, Pereira, Pedro F., Pereira, José, Pereira, Maria João Ramos, Petrucci-Fonseca, Francisco, Pimenta, Miguel, Pinto, Sara, Pinto, Nuno, Pires, Rosa, Pita, Ricardo, Pontes, Carlos, Quaresma, Marisa, Queirós, João, Queirós, Luís, Rainho, Ana, da Graça Ramalhinho, Maria, Ramalho, Patrícia, Raposeira, Helena, Rasteiro, Francisco, Rebelo, Hugo, Regala, Frederico Tátá, Reto, Dyana, Ribeiro, Sérgio Bruno, Rio-Maior, Helena, Rocha, Ricardo, Rocha, Rita Gomes, Rodrigues, Luísa, Román, Jacinto, Roque, Sara, Rosalino, Luís Miguel, do Rosário, Inês T., Rossa, Mariana, Russo, Danilo, Sá, Pedro, Sabino-Marques, Helena, Salgueiro, Vânia, Santos, Helena, Santos, Joana, Santos, João P. V., Santos, Nuno, Santos, Sara, Santos, Carlos Pedro, Santos-Reis, Margarida, Serronha, Ana, Sierra, Pablo, Silva, Bruno, Silva, Carla S. G. M., Silva, Clara, Silva, Diogo, da Silva, Luís P., Silva, Ricardo, Silva, Carmen, da Silva, Flavio Manoel Rodrigues, Sousa, Pedro, Sousa-Guedes, Diana, Spadoni, Giulia, Tapisso, Joaquim T., Teixeira, Daniela, Teixeira, Sérgio, Teixeira, Nuno, Torres, Rita T., Travassos, Paulo, Vale-Gonçalves, Hélia, Cidraes-Vieira, Nuno, von Merten, Sophie, and da Luz Mathias, Maria

Published
2022

4. Mammals in the Collection of the National Museum of Natural History and Science (University of Lisbon, Portugal): A Contribution to Research and Conservation.

Author

Mathias, Maria da Luz, Monarca, Rita I., Neves, Tomé, Tapisso, Joaquim T., Alves, Maria Judite, and Ramalhinho, Maria da Graça

Subjects
*SCIENCE museums, *ENDANGERED species, *NATURAL history museums, *NATIONAL museums, *CARNIVORA
Abstract

Museum collections serve as valuable repositories of biodiversity, offering a substantial amount of data and specimens for scientific research. This study describes the intrinsic value of the mammal collection at the National Museum of Natural History and Science of the University of Lisbon (Portugal) (MUHNAC), and its nationwide representativeness, with the final aim of revealing its potential to support research and conservation initiatives. The collection includes 6158 specimens, from 131 species, across 10 orders, the great majority collected within Portugal, although a small dataset mostly from other parts of Europe and Africa is also available. The most represented orders are Rodentia, Eulipotyphla, and Carnivora, in contrast to Chiroptera, Cetacea, and Artiodactyla. Approximately 40% of the species within these groups are of conservation concern according to both national and international conventions, with nearly 20% at risk of extinction based on IUCN criteria. Additionally, the representativity of species in MUHNAC reflects the museum's coverage of species records across the country, with smaller, non-threatened species being more prominently represented and larger, at-risk species being comparatively underrepresented. The influence of conservation, economic, legal, and ethical factors on the species spatial coverage is discussed, providing insights into the variability observed in museum collections. [ABSTRACT FROM AUTHOR]

Published
2025
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8. Assessing Optimal Cell Counts in Sperm Shape Abnormality Assays in Rodents.

Author

Cardoso, Elizandra, Mathias, Maria da Luz, Monarca, Rita I., and Gabriel, Sofia I.

Subjects
SPERM count, SPERMATOZOA, SCIENTIFIC literature, RODENT populations, RODENTS
Abstract

Simple Summary: The analysis of sperm shape abnormalities is commonly used to assess the toxicity of pollutants and drugs and their genotoxic effects. This methodology is widely used based on counting the number of abnormal spermatozoa; however, in the literature, there is a wide variety of sperm counts, and standardization for cost-effectiveness and robust results remains essential. In this study, we reviewed the literature on the number of sperm counts in such assessments involving rodents, published from 1969 to 2023. A new dataset involving the analysis of two wild rodent populations was produced to infer the number of counts that provides the highest robustness of assay results. A range of 100 to 6000 was recorded in the literature review, and for each animal in the populations herein studied, 300, 500, 1000, and 2000 cells were counted sequentially, and anomalies were recorded. We propose that studies addressing sperm shape abnormalities should standardize counts to an optimal value of 1000 cells per animal, ensuring statistical power and better cost-effectiveness. Rodents have been the preferred models for the evaluation of the toxicity of pollutants and drugs and their genotoxic effects, including sperm shape abnormalities. The scientific literature is dominated by studies conducted with model animals in laboratory conditions, but a generally accepted and standardized protocol addressing the optimal number of sperm cells to count is still lacking. In this study, we reviewed the literature regarding the number of counted sperm cells in such assessments, published from 1969 to 2023. To infer the number of counts providing the best cost/benefit regarding the robustness of the assay results, a new dataset involving the analysis of two populations of wild rodents was produced. We evaluated the frequency of sperm shape abnormalities in a total of 50 wild brown rats (Rattus norvegicus) captured in two port cities, aiming to detect the impact of differential sperm cell counts in the obtained results. During necropsy, the fresh epididymis tail of adult male rats was excised, and sperm cells were fixated in slides. For each animal, a total of 300, 500, 1000, and 2000 cells were sequentially counted, and head abnormalities were registered. Counting 300 sperm cells failed to detect significant differences between groups and 500 counts resulted in marginally significant differences. Only when 1000 or 2000 sperm cells were counted, significant differences emerged between groups. We propose that studies addressing sperm shape abnormalities should standardize counts to an optimal value of 1000 cells per animal, warranting robust statistical results while providing the best compromise concerning labor time. [ABSTRACT FROM AUTHOR]

Published
2023
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9. MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal

Author

Grilo, Clara, Afonso, Beatriz C., Afonso, Filipe, Alexandre, Marta, Aliácar, Sara, Almeida, Ana, Alonso, Ivan Prego, Álvares, Francisco, Alves, Paulo, Alves, Paulo Célio, Alves, Pedro, Duarte, Beatriz, Duro, Virginia, Encarnação, Cláudia, Eufrázio, Sofia, Fael, António, Falé, João Salvador, Faria, Sandra, Fernandes, C, Fernandes, Margarida, Lopes, Susana, Rosalino, L. M., Costa, Gonçalo Ferrão, Ferreira, Clara, Ferreira, Diogo F., Ferreira, Eduardo, Ferreira, Joaquim Pedro, Ferreira, João, Ferreira, Diana, Fonseca, Carlos, Fontes, Inês, Fragoso, Ricardo, Rosário, Inês T., López-Baucells, Adrià, Franco, Claudia, Freitas, Tamira, Gabriel, Sofia I., Gibb, Rory, Gil, Patricia, Gomes, Carla Patricia Jorge, Horta, Pedro, Gomes, Pedro, Gomes, Verónica, Rossa, Mariana, Grilo, Ana Filipa, Amado, Anabela, Guedes, Américo, Guilherme, Filipa, Gutiérrez, Iván, Harper, Henry, Herrera, José M., Hipólito, Dário, Infante, Samuel, Jesus, José, Russo, Danilo, Loureiro, Armando, Loureiro, Filipa, Lourenço, Rui, Lourenço, Sofia, Lucas, Paula, Magalhães, Ana, Maldonado, Cristina, Marcolin, Fabio, Marques, Sara, Marques, J. Tiago, Sá, Pedro, Amendoeira, Vitor, Marques, Carina, Marques, Paulo, Marrecas, Pedro Caetano, Martins, Frederico, Martins, Raquel, Mascarenhas, Miguel, Mata, Vanessa A., Mateus, Ana Rita, Matos, Milene, Sabino‐Marques, Helena, Medinas, Denis, Amorim, Francisco, Mendes, Tiago, Mendes, Gabriel, Mestre, Frederico, Milhinhas, Catarina, Mira, António, Monarca, Rita I., Monteiro, Norberto, Monteiro, Barbara, Salgueiro, Vânia, Monterroso, Pedro, Nakamura, Mónia, Silva Aparício, Guilherme, Negrões, Nuno, Nóbrega, Eva K., Nóvoa, Miguel, Nunes, Manuel, Nunes, Nuno Jardim, Oliveira, Flávio, Oliveira, José Miguel, Santos, Helena, M. Palmeirim, Jorge, Pargana, João, Paula, Anabela, Araújo, Ricardo, Paupério, Joana, Pedroso, Nuno M., Pereira, Guilherme, Pereira, Pedro F., Pereira, José, Pereira, Maria João Ramos, Santos, Joana, Petrucci-Fonseca, Francisco, Pimenta, Miguel, Pinto, Sara, Pinto, Nuno, Ascensão, Fernando, Pires, Rosa, Pita, Ricardo, Pontes, Carlos, Quaresma, Marisa, Queirós, João, Barbosa, A. Márcia, Queirós, Luís, Rainho, Ana, Graça Ramalhinho, Maria, Ramalho, Patrícia, Raposeira, Helena, Augusto, Margarida, Rasteiro, Francisco, Rebelo, Hugo, Regala, Frederico Tátá, Reto, Dyana, Jones, Kate E., Ribeiro, Sérgio Bruno, Rio‐Maior, Helena, Rocha, Ricardo, Rocha, Rita Gomes, Rodrigues, Luísa, Román, Jacinto, Bandeira, Victor, Roque, Sara, Santos, João P. V., Santos, Nuno, Santos, Sara, Santos, Carlos Pedro, Santos-Reis, Margarida, Serronha, Ana, Sierra, Pablo, Silva, Bruno, Silva, Carla S. G. M., Silva, Clara, Laborde, Marina I., Barbosa, Soraia, Silva, Diogo, Silva, Luís P., Silva, Ricardo, Silva, Carmen, Silva Júnior, Flavio Manoel Rodrigues, Sousa, Pedro, Sousa‐Guedes, Diana, Spadoni, Giulia, Tapisso, Joaquim T., Oliveira, Luís Lamas, Teixeira, Daniela, Barbosa, Sérgio, Teixeira, Sérgio, Teixeira, Nuno, Torres, Rita T., Travassos, Paulo, Vale‐Gonçalves, Hélia, Cidraes‐Vieira, Nuno, Merten, Sophie, Luz Mathias, Maria, Leitão, Inês, Barreiro, Silvia, Barros, Paulo, Barros, Tânia, Barros, Filomena, Pinto Basto, Mafalda, Bernardino, Joana, Bicho, Sara, Biedma, Luis Eduardo, Borges, Marta, Braz, Luis, Lemos, Rita, Brito, José Carlos, Brito, Tiago, Cabral, João Alexandre, Calzada, Javier, Camarinha, Cláudia, Carapuço, Mafalda, Cardoso, Paulo, Carmo, Mário, Carrapato, Carlos, Silva Carrilho, Maílis, Lima, Cátia, Carvalho, Diogo Filipe T. C. S., Carvalho, Filipe, Carvalho, João, Castro, Diana, Castro, Guilherme, Castro, Joana, Castro, Luis Roma, Catry, Filipe Xavier, Cerveira, Ana M., Cid, André, Linck, Paloma, Clarke, Rafael, Conde, Conceição, Conde, José, Costa, Jorge, Costa, Mafalda, Costa, Pedro, Costa, Cristina, Couto, André Pedro, Craveiro, João, Dias, Marta, Lopes, Hugo, Dias, Sofia, and Repositório da Universidade de Lisboa

Abstract

Mammals are threatened worldwide, with 26% of all species being includedin the IUCN threatened categories. This overall pattern is primarily associatedwith habitat loss or degradation, and human persecution for terrestrial mam-mals, and pollution, open net fishing, climate change, and prey depletion formarine mammals. Mammals play a key role in maintaining ecosystems func-tionality and resilience, and therefore information on their distribution is cru-cial to delineate and support conservation actions. MAMMALS INPORTUGAL is a publicly available data set compiling unpublishedgeoreferenced occurrence records of 92 terrestrial, volant, and marine mam-mals in mainland Portugal and archipelagos of the Azores and Madeira thatincludes 105,026 data entries between 1873 and 2021 (72% of the data occur-ring in 2000 and 2021). The methods used to collect the data were: live obser-vations/captures (43%), sign surveys (35%), camera trapping (16%),bioacoustics surveys (4%) and radiotracking, and inquiries that represent lessthan 1% of the records. The data set includes 13 types of records: (1) burrowsjsoil moundsjtunnel, (2) capture, (3) colony, (4) dead animaljhairjskullsjjaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8),observation in shelters, (9) photo trappingjvideo, (10) predators dietjpelletsjpine cones/nuts, (11) scatjtrackjditch, (12) telemetry and (13) vocalizationjecholocation. The spatial uncertainty of most records ranges between 0 and100 m (76%). Rodentia (n=31,573) has the highest number of records followedby Chiroptera (n=18,857), Carnivora (n=18,594), Lagomorpha (n=17,496),Cetartiodactyla (n=11,568) and Eulipotyphla (n=7008). The data setincludes records of species classified by the IUCN as threatened(e.g.,Oryctolagus cuniculus[n=12,159],Monachus monachus[n=1,512],andLynx pardinus[n=197]). We believe that this data set may stimulate thepublication of other European countries data sets that would certainly contrib-ute to ecology and conservation-related research, and therefore assisting onthe development of more accurate and tailored conservation managementstrategies for each species. There are no copyright restrictions; please cite thisdata paper when the data are used in publications.

Published
2022

10. Predation risk modulates diet-induced obesity in male C57BL/6 mice

Author

Monarca, Rita I., Mathias, Maria da Luz, Wang, Dehua, and Speakman, John R.

Abstract

Submitted by Patrícia Correia (patriciacorreia@ua.pt) on 2017-04-06T11:13:56Z No. of bitstreams: 1 Monarca et al. - 2015 - Predation risk modulates diet-induced obesity in m.pdf: 214032 bytes, checksum: 2cd18ed35ec3a5ed795dc198d4f623e1 (MD5) Approved for entry into archive by Patrícia Correia(patriciacorreia@ua.pt) on 2017-04-06T11:14:12Z (GMT) No. of bitstreams: 1 Monarca et al. - 2015 - Predation risk modulates diet-induced obesity in m.pdf: 214032 bytes, checksum: 2cd18ed35ec3a5ed795dc198d4f623e1 (MD5) Made available in DSpace on 2017-04-06T11:14:13Z (GMT). No. of bitstreams: 1 Monarca et al. - 2015 - Predation risk modulates diet-induced obesity in m.pdf: 214032 bytes, checksum: 2cd18ed35ec3a5ed795dc198d4f623e1 (MD5) Previous issue date: 2015

Published
2015

12. Physiological damage in Algerian mouse Mus spretus (Rodentia: Muridae) exposed to crude oil.

Author

Da Silva Júnior, Flavio M. R., Monarca, Rita I., Dias, Deodália, Ramalhinho, Maria G., Mathias, Maria L., and Muccillo-Baisch, Ana L.

Subjects
*POLLUTION, *MUS, *PETROLEUM, *RODENTS, *MURIDAE, *SOIL pollution, *BIOINDICATORS
Abstract

Small mammals have been used to predict ecotoxicological damage caused by metals in field studies and laboratory exposure. In natural ecosystems, rodents play an important role either as seed dispersers or food providers for various predators since they represent intermediate links in the food chain. Several studies have already focused on the effects of metals on wild rodents, but data provided on the effects of organic contaminants, such as crude oil, are scarce. Among the possible biological indicators, physiological parameters are useful because they reflect, accurately, the organism-environment interaction. The current study aimed: I) to evaluate the effects of the exposure to soil contaminated by crude oil in the Mus spretus mice and II) to select sensitive markers to crude oil pollution. Mice collected in free-contaminated areas were exposed to artificial soil contaminated by crude oil, and compared with animals housed in artificial non-contaminated soil (control soil). External signs such as lethargy and alopecia were observed in the first days of exposure. However, no changes in animals' body weight were recorded although changes in relative weight of some organs (liver, spleen and lungs) were observed. Furthermore, results also revealed increase in basal metabolic rate and decrease in exploratory and locomotor activity. Exposure to soil contaminated also caused dysfunction of the adrenal glands measured through fecal corticosterone levels. Data obtained highlight the relevance of using ex situ models, such as wild mice, and suggest a set of biological markers to predict and monitor environmental damage caused by crude oil exposure. [ABSTRACT FROM AUTHOR]

Published
2012

13. MAMMALS IN PORTUGAL: A data set of terrestrial, volant, and marine mammal occurrences in Portugal

Author

Clara Grilo, Beatriz C. Afonso, Filipe Afonso, Marta Alexandre, Sara Aliácar, Ana Almeida, Ivan Prego Alonso, Francisco Álvares, Paulo Alves, Paulo Célio Alves, Pedro Alves, Anabela Amado, Vitor Amendoeira, Francisco Amorim, Guilherme Silva Aparício, Ricardo Araújo, Fernando Ascensão, Margarida Augusto, Victor Bandeira, A. Márcia Barbosa, Soraia Barbosa, Sérgio Barbosa, Silvia Barreiro, Paulo Barros, Tânia Barros, Filomena Barros, Mafalda Basto, Joana Bernardino, Sara Bicho, Luis Eduardo Biedma, Marta Borges, Luis Braz, José Carlos Brito, Tiago Brito, João Alexandre Cabral, Javier Calzada, Cláudia Camarinha, Mafalda Carapuço, Paulo Cardoso, Mário Carmo, Carlos Carrapato, Maílis Silva Carrilho, Diogo Filipe T. C. S. Carvalho, Filipe Carvalho, João Carvalho, Diana Castro, Guilherme Castro, Joana Castro, Luis Roma Castro, Filipe Xavier Catry, Ana M. Cerveira, André Cid, Rafael Clarke, Conceição Conde, José Conde, Jorge Costa, Mafalda Costa, Pedro Costa, Cristina Costa, André Pedro Couto, João Craveiro, Marta Dias, Sofia Dias, Beatriz Duarte, Virginia Duro, Cláudia Encarnação, Sofia Eufrázio, António Fael, João Salvador Falé, Sandra Faria, Carlos Fernandes, Margarida Fernandes, Gonçalo Ferrão Costa, Clara Ferreira, Diogo F. Ferreira, Eduardo Ferreira, Joaquim Pedro Ferreira, João Ferreira, Diana Ferreira, Carlos Fonseca, Inês Fontes, Ricardo Fragoso, Claudia Franco, Tamira Freitas, Sofia I. Gabriel, Rory Gibb, Patricia Gil, Carla Patricia Jorge Gomes, Pedro Horta, Pedro Gomes, Verónica Gomes, Filipa Grilo, Américo Guedes, Filipa Guilherme, Iván Gutiérrez, Henry Harper, José M. Herrera, Dário Hipólito, Samuel Infante, José Jesus, Kate E. Jones, Marina I. Laborde, Luís Lamas Oliveira, Inês Leitão, Rita Lemos, Cátia Lima, Paloma Linck, Hugo Lopes, Susana Lopes, Adrià López‐Baucells, Armando Loureiro, Filipa Loureiro, Rui Lourenço, Sofia Lourenço, Paula Lucas, Ana Magalhães, Cristina Maldonado, Fabio Marcolin, Sara Marques, J. Tiago Marques, Carina Marques, Paulo Marques, Pedro Caetano Marrecas, Frederico Martins, Raquel Martins, Miguel Mascarenhas, Vanessa A. Mata, Ana Rita Mateus, Milene Matos, Denis Medinas, Tiago Mendes, Gabriel Mendes, Frederico Mestre, Catarina Milhinhas, António Mira, Rita I. Monarca, Norberto Monteiro, Barbara Monteiro, Pedro Monterroso, Mónia Nakamura, Nuno Negrões, Eva K. Nóbrega, Miguel Nóvoa, Manuel Nunes, Nuno Jardim Nunes, Flávio Oliveira, José Miguel Oliveira, Jorge M. Palmeirim, João Pargana, Anabela Paula, Joana Paupério, Nuno M. Pedroso, Guilherme Pereira, Pedro F. Pereira, José Pereira, Maria João Ramos Pereira, Francisco Petrucci‐Fonseca, Miguel Pimenta, Sara Pinto, Nuno Pinto, Rosa Pires, Ricardo Pita, Carlos Pontes, Marisa Quaresma, João Queirós, Luís Queirós, Ana Rainho, Maria Graça Ramalhinho, Patrícia Ramalho, Helena Raposeira, Francisco Rasteiro, Hugo Rebelo, Frederico Tátá Regala, Dyana Reto, Sérgio Bruno Ribeiro, Helena Rio‐Maior, Ricardo Rocha, Rita Gomes Rocha, Luísa Rodrigues, Jacinto Román, Sara Roque, Luís Miguel Rosalino, Inês T. Rosário, Mariana Rossa, Danilo Russo, Pedro Sá, Helena Sabino‐Marques, Vânia Salgueiro, Helena Santos, Joana Santos, João P. V. Santos, Nuno Santos, Sara Santos, Carlos Pedro Santos, Margarida Santos‐Reis, Ana Serronha, Pablo Sierra, Bruno Silva, Carla S. G. M. Silva, Clara Silva, Diogo Silva, Luís P. Silva, Ricardo Silva, Carmen Silva, Flavio Manoel Rodrigues Silva Júnior, Pedro Sousa, Diana Sousa‐Guedes, Giulia Spadoni, Joaquim T. Tapisso, Daniela Teixeira, Sérgio Teixeira, Nuno Teixeira, Rita T. Torres, Paulo Travassos, Hélia Vale‐Gonçalves, Nuno Cidraes‐Vieira, Sophie Merten, Maria Luz Mathias, Grilo, Clara, Afonso, Beatriz C, Afonso, Filipe, Alexandre, Marta, Aliácar, Sara, Almeida, Ana, Alonso, Ivan Prego, Álvares, Francisco, Alves, Paulo, Alves, Paulo Célio, Alves, Pedro, Amado, Anabela, Amendoeira, Vitor, Amorim, Francisco, da Silva Aparício, Guilherme, Araújo, Ricardo, Ascensão, Fernando, Augusto, Margarida, Bandeira, Victor, Barbosa, A Márcia, Barbosa, Soraia, Barbosa, Sérgio, Barreiro, Silvia, Barros, Paulo, Barros, Tânia, Barros, Filomena, Basto, Mafalda, Bernardino, Joana, Bicho, Sara, Biedma, Luis Eduardo, Borges, Marta, Braz, Lui, Brito, José Carlo, Brito, Tiago, Cabral, João Alexandre, Calzada, Javier, Camarinha, Cláudia, Carapuço, Mafalda, Cardoso, Paulo, Carmo, Mário, Carrapato, Carlo, da Silva Carrilho, Maíli, Carvalho, Diogo Filipe T C S, Carvalho, Filipe, Carvalho, João, Castro, Diana, Castro, Guilherme, Castro, Joana, Castro, Luis Roma, Catry, Filipe Xavier, Cerveira, Ana M, Cid, André, Clarke, Rafael, Conde, Conceição, Conde, José, Costa, Jorge, Costa, Mafalda, Costa, Pedro, Costa, Cristina, do Couto, André Pedro, Craveiro, João, Dias, Marta, Dias, Sofia, Duarte, Beatriz, Duro, Virginia, Encarnação, Cláudia, Eufrázio, Sofia, Fael, António, Falé, João Salvador, Faria, Sandra, Fernandes, Carlo, Fernandes, Margarida, da Costa, Gonçalo Ferrão, Ferreira, Clara, Ferreira, Diogo F, Ferreira, Eduardo, Ferreira, Joaquim Pedro, Ferreira, João, Ferreira, Diana, Fonseca, Carlo, Fontes, Inê, Fragoso, Ricardo, Franco, Claudia, Freitas, Tamira, Gabriel, Sofia I, Gibb, Rory, Gil, Patricia, Gomes, Carla Patricia Jorge, Horta, Pedro, Gomes, Pedro, Gomes, Verónica, Grilo, Filipa, Guedes, Américo, Guilherme, Filipa, Gutiérrez, Iván, Harper, Henry, Herrera, José M, Hipólito, Dário, Infante, Samuel, Jesus, José, Jones, Kate E, Laborde, Marina I, de Oliveira, Luís Lama, Leitão, Inê, Lemos, Rita, Lima, Cátia, Linck, Paloma, Lopes, Hugo, Lopes, Susana, López-Baucells, Adrià, Loureiro, Armando, Loureiro, Filipa, Lourenço, Rui, Lourenço, Sofia, Lucas, Paula, Magalhães, Ana, Maldonado, Cristina, Marcolin, Fabio, Marques, Sara, Marques, J Tiago, Marques, Carina, Marques, Paulo, Marrecas, Pedro Caetano, Martins, Frederico, Martins, Raquel, Mascarenhas, Miguel, Mata, Vanessa A, Mateus, Ana Rita, Matos, Milene, Medinas, Deni, Mendes, Tiago, Mendes, Gabriel, Mestre, Frederico, Milhinhas, Catarina, Mira, António, Monarca, Rita I, Monteiro, Norberto, Monteiro, Barbara, Monterroso, Pedro, Nakamura, Mónia, Negrões, Nuno, Nóbrega, Eva K, Nóvoa, Miguel, Nunes, Manuel, Nunes, Nuno Jardim, Oliveira, Flávio, Oliveira, José Miguel, Palmeirim, Jorge M, Pargana, João, Paula, Anabela, Paupério, Joana, Pedroso, Nuno M, Pereira, Guilherme, Pereira, Pedro F, Pereira, José, Pereira, Maria João Ramo, Petrucci-Fonseca, Francisco, Pimenta, Miguel, Pinto, Sara, Pinto, Nuno, Pires, Rosa, Pita, Ricardo, Pontes, Carlo, Quaresma, Marisa, Queirós, João, Queirós, Luí, Rainho, Ana, da Graça Ramalhinho, Maria, Ramalho, Patrícia, Raposeira, Helena, Rasteiro, Francisco, Rebelo, Hugo, Regala, Frederico Tátá, Reto, Dyana, Ribeiro, Sérgio Bruno, Rio-Maior, Helena, Rocha, Ricardo, Rocha, Rita Gome, Rodrigues, Luísa, Román, Jacinto, Roque, Sara, Rosalino, Luís Miguel, do Rosário, Inês T, Rossa, Mariana, Russo, Danilo, Sá, Pedro, Sabino-Marques, Helena, Salgueiro, Vânia, Santos, Helena, Santos, Joana, Santos, João P V, Santos, Nuno, Santos, Sara, Santos, Carlos Pedro, Santos-Reis, Margarida, Serronha, Ana, Sierra, Pablo, Silva, Bruno, Silva, Carla S G M, Silva, Clara, Silva, Diogo, da Silva, Luís P, Silva, Ricardo, Silva, Carmen, da Silva Júnior, Flavio Manoel Rodrigue, Sousa, Pedro, Sousa-Guedes, Diana, Spadoni, Giulia, Tapisso, Joaquim T, Teixeira, Daniela, Teixeira, Sérgio, Teixeira, Nuno, Torres, Rita T, Travassos, Paulo, Vale-Gonçalves, Hélia, Cidraes-Vieira, Nuno, von Merten, Sophie, and da Luz Mathias, Maria

Subjects
1873-2021, Mammals, EuropeIberian Peninsula, Portugal, Animal, Climate Change, Carnivora, Eulipotyphla, Rodentia, Rabbit, Lagomorpha, Mammal, Europe, Rodentiaspecies distribution, Chiroptera, Animals, species distribution, Rabbits, Cetartiodactyla, Ecology, Evolution, Behavior and Systematics, Ecosystem, Iberian Peninsula
Abstract

Mammals are threatened worldwide, with ~26% of all species being included in the IUCN threatened categories. This overall pattern is primarily associated with habitat loss or degradation, and human persecution for terrestrial mammals, and pollution, open net fishing, climate change, and prey depletion for marine mammals. Mammals play a key role in maintaining ecosystems functionality and resilience, and therefore information on their distribution is crucial to delineate and support conservation actions. MAMMALS IN PORTUGAL is a publicly available data set compiling unpublished georeferenced occurrence records of 92 terrestrial, volant, and marine mammals in mainland Portugal and archipelagos of the Azores and Madeira that includes 105,026 data entries between 1873 and 2021 (72% of the data occurring in 2000 and 2021). The methods used to collect the data were: live observations/captures (43%), sign surveys (35%), camera trapping (16%), bioacoustics surveys (4%) and radiotracking, and inquiries that represent less than 1% of the records. The data set includes 13 types of records: (1) burrows | soil mounds | tunnel, (2) capture, (3) colony, (4) dead animal | hair | skulls | jaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8), observation in shelters, (9) photo trapping | video, (10) predators diet | pellets | pine cones/nuts, (11) scat | track | ditch, (12) telemetry and (13) vocalization | echolocation. The spatial uncertainty of most records ranges between 0 and 100 m (76%). Rodentia (n=31,573) has the highest number of records followed by Chiroptera (n=18,857), Carnivora (n=18,594), Lagomorpha (n=17,496), Cetartiodactyla (n=11,568) and Eulipotyphla (n=7008). The data set includes records of species classified by the IUCN as threatened (e.g., Oryctolagus cuniculus [n=12,159], Monachus monachus [n=1,512], and Lynx pardinus [n=197]). We believe that this data set may stimulate the publication of other European countries data sets that would certainly contribute to ecology and conservation-related research, and therefore assisting on the development of more accurate and tailored conservation management strategies for each species. There are no copyright restrictions; please cite this data paper when the data are used in publications.

Published
2021

14. The Presence of a Shelter in an Open Field Test Has Differential Effects on the Behavior and Stress Response of Two Mouse Species.

Author

Monarca RI, Silva RFB, Gabriel SI, Cerveira AM, and von Merten S

Abstract

The open field test (OFT) is frequently used in research to assess anxiety-like behavior and locomotor activity. Its simple design can lead to the misconception that it is a standardized procedure comparable between laboratories. However, some modifications in the setup can cause changes in behavior. Different species might also react differently to the modifications introduced. There is thus need for a better understanding of the impact of modifications and their value for the species in question. Here, we tested two closely related mouse species, Mus musculus and Mus spretus, in an OFT with and without the presence of a shelter. We assessed mouse exploratory behavior through the analysis of multiple behavioral traits, and stress response through the measurement of circulating cortisol levels. Both species had elevated cortisol levels during the OFT in contrast to control animals which were not exposed to the OFT. While the presence of a shelter in the OFT increased the exploratory behavior in both mouse species, M. spretus, but not M. musculus, showed a reduction in cortisol levels. Also, other measured behaviors show a rather proactive coping strategy of the commensal M. musculus in contrast to a reactive strategy of the non-commensal M. spretus. Our study revealed a strong species-specific influence of the OFT design on the resulting behavior and stress levels of mice, illustrating the importance of OFT designs to account for the characteristics of the species under study. The addition of a shelter might be considered to improve experimental results by promoting animal welfare., (© 2025 The Author(s). Journal of Experimental Zoology Part A: Ecological and Integrative Physiology published by Wiley Periodicals LLC.)

Published
2025
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