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**if you would like a pdf copy of any of these publications you can email me at muleromara@hotmail.com

  1. Terrestrial Megafauna Response to Drone Noise Levels in Ex Situ Areas. Drones, 6(11), 333 https://doi.org/10.3390/drones6110333 JCR (IF 2021 5.532, Q2 Remote Sensing)

  2. Mulero-Pázmány, M, Martínez-de Dios, J.R., Popa-Lisseanu, A.G., Gray, R.J.  Alarcón, F., Albo Sánchez-Bedoya, C., Viguria, A., Ibáñez, C., Negro, J. J., Ollero, A. and Marrón, P.J. (2022). "Development of a Fixed-Wing Drone System for Aerial Insect Sampling" Drones 6, 8: 189. https://doi.org/10.3390/drones6080189  JCR (IF 2021 5.532, Q2 Remote Sensing)

  3. Mulero-Pázmány, M., Rollán, L., D’Amico, M., & González-Suárez, M. Road orientation affects the impact of roads on wildlife. (2022) Wildlife Research. https://doi.org/10.1071/WR21149 JCR (IF 2021: 2.178, Q1 Zoology)

  4. Mesquita, GP., Wich, S.A., Rodríguez-Teijeiro, J.D. (2022) A practical approach with drones, smartphones, and tracking tags for potential real-time animal tracking, Current Zoology,; zoac029, https://doi.org/10.1093/cz/zoac029 JCR (IF 2021 2.734, Q1 Zoology)

  5. Piel, AK., Chalmers, C, Crunchant, A., Fergus, P., Knot, I., Wich, S. Non-invasive technologies for Primate Conservation in the 21st Century (2021). International Journal of Primatology (2021). https://doi.org/10.1007/s10764-021-00245-z JCR (IF 2021: 2.578, Q1 Zoology)

  6. Mesquita, G. P., Rodríguez-Teijeiro, J. D., de Oliveira, R. R., & (2021). Steps to build a DIY low-cost fixed-wing drone for biodiversity conservation. PloS one, 16(8), e0255559. https://doi.org/10.1371/journal.pone.0255559 JCR (IF 2021: 3.752, Q1 Multidisciplinary Science).

  7. Mesquita, G.; Rodríguez Teijeiro, D.; Wich, S.; (2020) Measuring disturbance at swift breeding colonies due to the visual aspects of a drone: a quasi-experiment study. Current Zoology, 16 (2): 157-163. https://doi.org/10.1093/cz/zoaa038 . JCR (IF 2020: 2.624, Q1 Zoology)

  8. Duffett D., D’ Amico M., , González-Suárez M. (2020). Species’ Traits as Predictors of Avoidance towards Roads and Traffic. Ecological Indicators 115:106402, pp 1-8 https://doi.org/10.1016/j.ecolind.2020.106402  JCR (IF 2020: 4.958, Q1 Environmental Sciences)

  9. Laguna E., Barasona J.A., Triguero-Ocaña R., , Negro J.J., Vicente J., Acevedo P. (2018). The relevance of host overcrowding in wildlife epidemiology: a new spatially explicit aggregation index. Ecological Indicators 84:695–700. https://doi.org/10.1016/j.ecolind.2017.09.039   JCR (IF 2018: 4.490, Q1 Environmental Sciences)

  10. González-Suárez M., D’Amico M., . (2017). Advancing road ecology in Africa with robust analyses and cautious inferences: a response to Jackson et al. (2017). Journal of Zoology; 298; 233–240. https://doi.org/10.1111/jzo.12484 JCR (IF 2017:1.955, Q1 Zoology)

  11. Mulero-Pázmány M., Jenni-Eiermann S., Strebel N., Sattler T., Negro J.J., Tablado Z. (2017). Unmanned aircraft systems as a new source of disturbance for wildlife: A systematic review. PLoS One 12: 1–17. https://doi.org/10.1371/journal.pone.0178448  JCR (IF 2017: 2.766, Q1 Multidisciplinary Science)

  12. Longmore S.N., Collins R.P., Pfeifer S., Fox S.E., , Bezombes F., Goodwin A., De Juan Ovelar M., Knappen, J.H., Wich, S. (2017). Adapting astronomical source detection software to help detect animals in thermal images obtained by unmanned aerial systems. . Taylor & Francis; 0: 1–16. https://doi.org/10.1080/01431161.2017.1280639 JCR (IF 2017: 1.782, Q2 Imaging Science and photographic technology)

  13. Figura R., Shih C.Y., Ceriotti M., Fu S., Brockmann F., Nebot H., Alarcón F., Kropp A., Kondak K., Schwarzbach M., Viguria Jiménez A., , Dini G., Capitán J., Marrón P.J. (2016) Kassandra: A Framework for Distributed Simulation of Heterogeneous Cooperating Objects. Journal of Systems Architecture. ISSN 1383-7621; Vol. 73; pp. 28 – 4. http://dx.doi.org/10.1016/j.sysarc.2016.11.012 JCR (IF 2016: 1.579, Q2 Computer science, software engineering)

  14. Canal D., , Negro J.J., Sergio F. (2016). Decoration Increases the Conspicuousness of Raptor Nests. PLoS ONE 11(7): e0157440. pp1-15 https://doi.org/10.1371/journal.pone.0157440 JCR (IF 2016: 2.806, Q1 Multidisciplinary Science)

  15. Mulero-Pázmány, M., D' Amico, M. and González-Suárez, M. (2016). Ungulate behavioral responses to the heterogeneous road-network of a touristic protected area in Africa. Journal of Zoology. 298, 233–240. https://doi.org/10.1111/jzo.12310 JCR (IF 2016: 2.186, Q1 Zoology)

  16. Mulero-Pázmány M., Barasona J.A., Acevedo P., Vicente J., Negro J.J. (2015). Unmanned Aircraft Systems complement biologging in spatial ecology studies. Ecology and Evolution 5 (21): 4808–4818. https://doi.org/10.1002/ece3.1744 JCR (IF 2015: 2.537, Q2 Ecology)

  17. Barasona J.A., , Acevedo P., Negro J.J., Torres M.J., Gortázar C., Vicente J. (2014). Unmanned Aircraft Systems for Studying Spatial Abundance of Ungulates: Relevance to Spatial Epidemiology. PLoS ONE 9(12): e115608.pp 1-17. https://doi.org/10.1371/journal.pone.0115608 JCR (IF 2014: 3.234, Q1 Multidisciplinary Science)

  18. Mulero-Pázmány M., Stolper R., van Essen L.D., Negro J.J., Sassen T. (2014). Remotely Piloted Aircraft Systems as a Rhinoceros Anti-Poaching Tool in Africa. PloS ONE 9(1): e83873. Pp 1-10. https://doi.org/10.1371/journal.pone.0083873 JCR (IF 2014: 3.234, Q1 Multidisciplinary Science)

  19. Rodríguez A., Negro J.J., , Rodríguez C., Hernández-Pliego J., Bustamante J. (2012). The Eye in the Sky: Combined Use of Unmanned Aerial Systems and GPS Data Loggers for Ecological Research and Conservation of Small Birds. PLoS ONE 7(12): e50336. pp 1-6. https://doi.org/10.1371/journal.pone.0050336 JCR (IF 2012: 3.730, Q1 Multidisciplinary Science)

Scientific Papers non-JCR indexed Journals and conference proceedings

 

  1. Millner, N., Cunliffe, A. M., Mulero-Pázmány, M., Newport, B., Sandbrook, C., & Wich, S. (2023). Exploring the opportunities and risks of aerial monitoring for biodiversity conservation, Global Social Challenges Journal (published online ahead of print 2023). Retrieved Jun 15, 2023, from https://doi.org/10.1332/TIOK6806Mesquita, G. P.,., Wich, S. A., & Rodríguez-Teijeiro, J. D. (2022).

  2. Burke C., Wich S., Kusin K., McAree O., Harrison M., Ripoll B., Ermiasi Y., , Longmore S. (2019). Thermal-Drones as a Safe and Reliable Method for Detecting Subterranean Peat Fires, Drones, 3(23), pp. 1–16. ISSN 2504-446X https://doi.org/10.3390/drones3010023.

  3. Jiménez López, J., (2019). Drones for Conservation in Protected Areas: Present and Future. Drones, 3(1) 10. pp 1-23. ISSN 2504-446X https://doi.org/10.3390/drones3010010

  4. Mandujano S., , Rísquez-Valdepeña A. (2017). Drones: una nueva tecnología para el estudio y monitoreo de fauna y hábitats. Agroproductividad.;10: 79–84. ISSN Digital: 2594-0252. http://revista-agroproductividad.org/index.php/agroproductividad/article/view/83

  5. Figura R., Schmitz O., Hagemeier T., Ceriotti M., Brockmann F., and Marrón P. (2016). ICELUS: Investigating strategy switching for throughput maximization to a mobile sink. 2016 12th Annual Conference on Wireless On-demand Network Systems and Services (WONS). pp 17-24. Electronic ISBN:978-3-9018-8279-1

  6. Schwarzbach M., Laiacker M., , Kondak K. (2014), Remote water sampling using flying robots. ICUAS'14, May 27-30 Orlando, Florida, USA.

  7. Figura R., Ceriotti M., Yen Shih C., , Fu S., Daidone R., Jungen S., Negro J., Marrón P. (2014). IRIS: Efficient Visualization, Data Analysis and Experiment Management for Wireless Sensor Networks. EAI Endorsed Transactions on Ubiquitous Environments 14(3): e4. Pp 1-18. ISSN: 2032-9377. http://dx.doi.org/10.4108/ue.1.3.e4

  8. Mulero-Pázmány M., Negro J.J., & Ferrer M. (2014). A low-cost way for assessing bird risk hazards in power lines: Fixed-wing small Unmanned Aircraft Systems. Journal of Unmanned Vehicle Systems, 2(1), 5–15. ISSN 2291-3467 (Online) https://doi.org/10.1139/juvs-2013-0012

  9. Mulero-Pázmány M, Negro JJ. (2011) “AEROMAB: “Small UAS for Montagu´s Harrier´s Circus pygargus nests monitoring”. RED UAS International Congress. Escuela de Ingenieros, Universidad de Sevilla, España. (Conference Proceedings) ISBN: 978-84-615-6269-5

Patents

 

Patent Number P201331941 (2013) Dispositivo de captura de muestras de elementos macroscópicos presentes en el entorno con múltiples cámaras de captura y almacenamiento. (Device for capturing samples of macroscopic elements in the environment with multiple capture and storage cameras). Albo Sanchez-Bedoya C, Viguria Jimenez, LA, Jimenez Bellido A, Martín Mora V, Anderson Bell Seiler A, Mulero Pazmany M, Ibáñez C, Negro Balmaseda, JJ, García Popa-Lisseanu A. Spain.

 

 

 

Books and book chapters

  1. Mulero-Pázmány M. (2021). Chapter: The future of technology in conservation. In: “Conservation Technology”. Ed: Serge Wich, Alex Piel. Oxford University Press. ISBN: 9780198850250.

  2. Mulero-Pázmány M. (2017). Chapter: Sistemas aéreos no tripulados (UAS o drones) en investigación y gestión medioambiental. Los Drones y sus aplicaciones a la ingeniería civil. Fenercom, editor. Comunidad de Madrid. Spain; 2017. ISBN 978‐84‐617‐7649‐8

  3. Mulero Pázmány, M. Árboles y arboledas singulares de Doñana. 2011. Ed. Junta de Andalucía. Seville. ISBN: 978-84-615-2693-2. A HD documental incluído (emitido en canal Sur TV).

 

 

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