Unidad docente EcologíaECOLOGIAhttp://hdl.handle.net/10017/2992024-03-29T14:11:36Z2024-03-29T14:11:36ZHealth and Sustainability: the Sustainable Development Goals as a pedagogical tool in BSc in Health Biology with occupational and social implicationsRodríguez Rey Gómez, MartaRuiz Benito, PalomaMalo Valenzuela, Aurelio FranciscoZavala Gironés, Miguel Ángel deGómez Sal, Antoniohttp://hdl.handle.net/10017/611572024-03-22T01:17:03Z2023-10-18T00:00:00ZHealth and Sustainability: the Sustainable Development Goals as a pedagogical tool in BSc in Health Biology with occupational and social implications
Rodríguez Rey Gómez, Marta; Ruiz Benito, Paloma; Malo Valenzuela, Aurelio Francisco; Zavala Gironés, Miguel Ángel de; Gómez Sal, Antonio
The future graduates in Health Biology will impact public health and society by implementing actions aiming to achieve the Sustainable Development Goals (SDG). We conducted a teaching innovation project in Ecology and Human Health course for the students to manage health considering sustainability and incorporating the environmental dimension. We applied Challenge Based Learning and Research Based Learning in seminars and practical sessions with two case studies. We evaluated the acquisition of professional competencies through a survey to measure the perception and awareness of the students regarding the importance of the SDG on the human health, before and after the project implementation. Our result showed that students perceived a higher relationship between health and ecology after the course and an increase in their motivation.; Los futuros graduados en Biología Sanitaria pueden mejorar su impacto profesional en salud pública incorporando como referencia el avance hacia los Objetivos de Desarrollo Sostenible
(ODS). Se llevó a cabo un proyecto de innovación docente en la asignatura de Ecología y Bienestar Humano con el objetivo de que los alumnos profundizasen en la gestión de la salud considerando los ODS y la dimensión del medio ambiente. Se utilizaron las metodologías de
“Aprendizaje Basado en Retos y Aprendizaje Basado en Investigación” en las prácticas y seminarios a través de dos casos de estudio. La adquisición de competencias se evaluó a través de una encuesta estructurada que pretendía medir la opinión de los estudiantes respecto a la importancia de los ODS en la salud y en su futuro
profesional. Los resultados muestran un aumento en la importancia que los alumnos dieron a la relación entre salud y ecología tras la asignatura, a la vez que un aumento en su motivación.
VII Congreso Internacional sobre Aprendizaje, Innovación y Cooperación (CINAIC 2023), 18/10/2023-20/10/2023, Madrid, España
2023-10-18T00:00:00ZModels based on chronological data correctly predict the spread of freshwater aliens, and reveal a strong influence of river access, anthropogenic activities and climate regimesRodríguez Rey Gómez, MartaGarcia de Leaniz, CarlosConsuegra, Sofíahttp://hdl.handle.net/10017/611192024-03-21T01:17:35Z2023-11-01T00:00:00ZModels based on chronological data correctly predict the spread of freshwater aliens, and reveal a strong influence of river access, anthropogenic activities and climate regimes
Rodríguez Rey Gómez, Marta; Garcia de Leaniz, Carlos; Consuegra, Sofía
Alien species constitute one of the main threats to freshwater ecosystems, negatively impacting biodiversity, economy, biosecurity and ecosystem services. Predicting the arrival and spread of alien species is of paramount importance to prevent new introductions and control the expansion and establishment of already introduced species. We modelled the distribution of four freshwater invaders in Great Britain, using environmental and anthropogenic predictors, to help focus management actions. The species grouped different taxa including signal crayfish (Pacifastacus leniusculus), the marsh frog (Pelophylax ridibundus), the red-eared slider (Trachemys scripta) and the pike-perch (Sander lucioperca). The modelling approach accounted for methodological limitations and implemented two evaluations, a temporal evaluation using data corresponding to 70% of the oldest records to calibrate models and the remaining 30% for evaluation using various performance metrics (the common AUC, TSS and also none models) and an independent evaluation using the most recent range expansion of the species in the last six years. The distribution of the species was facilitated by multiple environmental and anthropogenic predictors. Road density was the second most important predictor of the occurrence of signal crayfish and red-eared slider preceded by the distance to ports and isothermality for each species respectively. Human population density was the most important predictor of marsh frog presence whereas pike-perch was mostly related to the proximity of boat ramps and precipitation regimes. Our distribution models were accurate and predicted the most recent range expansion of all of the species, highlighting their usefulness for preventing alien species spread and the value of using historical projections, usually available for non-native species, to calibrate and evaluate Species Distribution Models.
2023-11-01T00:00:00ZDiffering sensitivity of species distribution modelling algorithms to climate data sourceRodríguez Rey Gómez, MartaJiménez-Valverde, Albertohttp://hdl.handle.net/10017/611182024-03-21T01:17:35Z2024-03-01T00:00:00ZDiffering sensitivity of species distribution modelling algorithms to climate data source
Rodríguez Rey Gómez, Marta; Jiménez-Valverde, Alberto
The increasing availability of contemporary climate databases calls for comparative studies testing their performance in ecological modelling. We evaluated how contemporary climate data sources interact with the modelling algorithm and affect the predictive accuracy of Species Distribution Models (SDMs). We modelled the distribution of 37 woody plants in the Iberian Peninsula using three global climate databases: WorldClim (WC), CHELSA (CH) and MERRAclim (MER); a regional climate database (the Iberian Climate Atlas, ICA), and three modelling algorithms: Generalized Linear Models (GLMs), Generalized Additive Models (GAMs), and Partial Least Squared Regressions (PLSRs). The predictive capacity of the models was estimated by performing an external evaluation while controlling for extrapolation issues. The climate database source variable and its interaction with the modelling algorithm variable showed significant effects on a model's predictive performance. Post hoc tests revealed that MER produced the lowest discrimination capacity scores, especially using GLMs as algorithm. PLSR models were significantly better than GLMs when MER was used. GAMs and PLSR models with MER were significantly worse than some ICA and CH models but not worse than any of the WC models. These results indicate that contemporary climate data sources need to be considered as a seedbed of uncertainty in SDMs and that poorly flexible algorithms are unable to deal with suboptimal data. CH is a reliable global climate database and PLSR is a technique worth considering in SDMs. The best practice is to select the most accurate climate data available and to choose the algorithm based on the purpose of the study and on context-dependent technical details.
2024-03-01T00:00:00ZTesting the effect of relative pollen productivity on the REVEALS model: a validated reconstruction of Europe-wide Holocene vegetationSerge, M.Mazier, F.Fyfe, R.Gaillard, Jean MichelKlein, T.Lagnoux, A.Galop, D.Githumbi, E.Mindrescu, M.Nielsen, A.B.Trondman, A. K.Poska, A.Sugita, S.Woodbridge, J.Abel-Schaad, DanielAkesson, Christine M.Alenius, T.Ammann, BrigittaAndersen, S.T.Anderson, R. ScottAndric, M.Balakauskas, L.Barnekow, L.Batalova, V.Broothaerts, N.Carrión García, José SebastiánCaseldine, C.Christiansen, J.Cui, Q.Currás Domínguez, AndrésCzerwinski, S.David, R.Davies, A.L.De Jong, R.Di Rita, FedericoDietre, B.Dorfler, W.Doyen, E.Edwards, K.J.Ejarque Montolio, AnaEndtmann, E.Etienne, D.Faure, E.Feeser, I.Feurdean, AngelicaFischer, E.Fletcher, William J.Franco Mugica, María FátimaFredh, E.D.Froyd, C.Garcés Pastor, SandraGarcía Moreiras, IriaGauthier, E.Gil Romera, GracielaGonzález Sampériz, PenelopeGrant, M.J.Grindean, RoxanaHaas, Jean NicolasHannon, G.Heather, A.J.Heikkila, M.Hjelle, Kari L.Jahns, SusanneJasiunas, N.Jiménez Moreno, GonzaloJouffroy Bapicot, I.Kabailiene, M.Kamerling, I.M.Kangur, M.Karpinska Kołaczek, MonikaKasianova, A.Kołaczek, PiotrLagerås, PerLatalowa, MalgorzataLechterbeck, JuttaLeroyer, ChantalLeydet, MichelleLindbladh, MattsLisitsyna, OlgaLópez Sáez, José AntonioLowe, JohnLuelmo Lautenschlaeger, ReyesLukanina, EkaterinaMacijauskaitė, LinaMagri, DonatellaMarguerie, DominiqueMarquer, LaurentMartínez Cortizas, AntonioMehl, I.Mesa Fernández, José ManuelMighall, TimMiola, AntonellaMiras, YannickMorales Del Molino, CésarMrotzek, AlmutMuñoz Sobrino, CastorOdgaard, Bent VadOzola, IlzePérez Díaz, SebastiánPérez Obiol, RamónPoggi, C.Ramil Rego, PabloRamos Román, María JoséRasmussen, Peter M. R.Reille, M.Rosch, ManfredRuffaldi, PascaleSánchez Goñi, Maria FernandaSavukynienè, N.Schröder, TabeaSchult, M.Segerström, U.Seppa, HeikkiServera Vives, GabrielShumilovskikh, LyudmilaSmettan, H.W.Stančikaitė, MiglėStevenson, Anthony C.Stivrins, NormundsTantau, IoanTheuerkauf, MartinTonkov, SpassimirKnaap, Willem O. van derLeeuwen, Jacqueline F. N. vanVecmane, E.Verstraeten, GertVeski, SiimVoigt, R.Stedingk, Henrik vonWaller, Martyn P.Wiethold, JulianWillis, K.J.Wolters, SteffenZernitskaya, Valentina P.http://hdl.handle.net/10017/609972024-03-08T01:17:40Z2023-01-01T00:00:00ZTesting the effect of relative pollen productivity on the REVEALS model: a validated reconstruction of Europe-wide Holocene vegetation
Serge, M.; Mazier, F.; Fyfe, R.; Gaillard, Jean Michel; Klein, T.; Lagnoux, A.; Galop, D.; Githumbi, E.; Mindrescu, M.; Nielsen, A.B.; Trondman, A. K.; Poska, A.; Sugita, S.; Woodbridge, J.; Abel-Schaad, Daniel; Akesson, Christine M.; Alenius, T.; Ammann, Brigitta; Andersen, S.T.; Anderson, R. Scott; Andric, M.; Balakauskas, L.; Barnekow, L.; Batalova, V.; Broothaerts, N.; Carrión García, José Sebastián; Caseldine, C.; Christiansen, J.; Cui, Q.; Currás Domínguez, Andrés; Czerwinski, S.; David, R.; Davies, A.L.; De Jong, R.; Di Rita, Federico; Dietre, B.; Dorfler, W.; Doyen, E.; Edwards, K.J.; Ejarque Montolio, Ana; Endtmann, E.; Etienne, D.; Faure, E.; Feeser, I.; Feurdean, Angelica; Fischer, E.; Fletcher, William J.; Franco Mugica, María Fátima; Fredh, E.D.; Froyd, C.; Garcés Pastor, Sandra; García Moreiras, Iria; Gauthier, E.; Gil Romera, Graciela; González Sampériz, Penelope; Grant, M.J.; Grindean, Roxana; Haas, Jean Nicolas; Hannon, G.; Heather, A.J.; Heikkila, M.; Hjelle, Kari L.; Jahns, Susanne; Jasiunas, N.; Jiménez Moreno, Gonzalo; Jouffroy Bapicot, I.; Kabailiene, M.; Kamerling, I.M.; Kangur, M.; Karpinska Kołaczek, Monika; Kasianova, A.; Kołaczek, Piotr; Lagerås, Per; Latalowa, Malgorzata; Lechterbeck, Jutta; Leroyer, Chantal; Leydet, Michelle; Lindbladh, Matts; Lisitsyna, Olga; López Sáez, José Antonio; Lowe, John; Luelmo Lautenschlaeger, Reyes; Lukanina, Ekaterina; Macijauskaitė, Lina; Magri, Donatella; Marguerie, Dominique; Marquer, Laurent; Martínez Cortizas, Antonio; Mehl, I.; Mesa Fernández, José Manuel; Mighall, Tim; Miola, Antonella; Miras, Yannick; Morales Del Molino, César; Mrotzek, Almut; Muñoz Sobrino, Castor; Odgaard, Bent Vad; Ozola, Ilze; Pérez Díaz, Sebastián; Pérez Obiol, Ramón; Poggi, C.; Ramil Rego, Pablo; Ramos Román, María José; Rasmussen, Peter M. R.; Reille, M.; Rosch, Manfred; Ruffaldi, Pascale; Sánchez Goñi, Maria Fernanda; Savukynienè, N.; Schröder, Tabea; Schult, M.; Segerström, U.; Seppa, Heikki; Servera Vives, Gabriel; Shumilovskikh, Lyudmila; Smettan, H.W.; Stančikaitė, Miglė; Stevenson, Anthony C.; Stivrins, Normunds; Tantau, Ioan; Theuerkauf, Martin; Tonkov, Spassimir; Knaap, Willem O. van der; Leeuwen, Jacqueline F. N. van; Vecmane, E.; Verstraeten, Gert; Veski, Siim; Voigt, R.; Stedingk, Henrik von; Waller, Martyn P.; Wiethold, Julian; Willis, K.J.; Wolters, Steffen; Zernitskaya, Valentina P.
Reliable quantitative vegetation reconstructions for Europe during the Holocene are crucial to improving our understanding of landscape dynamics, making it possible to assess the past effects of environmental variables and land-use change on ecosystems and biodiversity, and mitigating their effects in the future. We present here the most spatially extensive and temporally continuous pollen-based reconstructions of plant cover in Europe (at a spatial resolution of 1° × 1°) over the Holocene (last 11.7 ka BP) using the ?Regional Estimates of VEgetation Abundance from Large Sites? (REVEALS) model. This study has three main aims. First, to present the most accurate and reliable generation of REVEALS reconstructions across Europe so far. This has been achieved by including a larger number of pollen records compared to former analyses, in particular from the Mediterranean area. Second, to discuss methodological issues in the quantification of past land cover by using alternative datasets of relative pollen productivities (RPPs), one of the key input parameters of REVEALS, to test model sensitivity. Finally, to validate our reconstructions with the global forest change dataset. The results suggest that the RPPs.st1 (31 taxa) dataset is best suited to producing regional vegetation cover estimates for Europe. These reconstructions offer a long-term perspective providing unique possibilities to explore spatial-temporal changes in past land cover and biodiversity.
31 p.
2023-01-01T00:00:00Z