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Research data keyboard_double_arrow_right Dataset 2024 SpanishPublisher:Zenodo Authors: Segura-Pérez, Ángela; Acosta-Escareño, Gabriela; Escorcia-Mora, Claudia Tatiana; Tárraga-Mínguez, Raúl;Segura-Pérez, Ángela; Acosta-Escareño, Gabriela; Escorcia-Mora, Claudia Tatiana; Tárraga-Mínguez, Raúl;This database corresponds to the results of the paper "Percepciones del profesorado sobre el papel de los sistemas aumentativos y alternativos de comunicación" which has been accepted for publication on 17th November 2023 in the journal Educaçao e Pesquisa (ISSN:1678-4634).
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 SpainPublisher:The Royal Society Funded by:NSF | Collaborative Research: G..., NSF | Collaborative Research: G..., NSF | Collaborative Research: G...NSF| Collaborative Research: Global biodiversity and functioning of eelgrass ecosystems ,NSF| Collaborative Research: Global biodiversity and functioning of eelgrass ecosystems ,NSF| Collaborative Research: Global biodiversity and functioning of eelgrass ecosystemsGross, Collin P.; Duffy, J. Emmett; Hovel, Kevin A.; Kardish, Melissa R.; Reynolds, Pamela L.; Bostr��m, Christoffer; Boyer, Katharyn E.; Cusson, Mathieu; Ekl��f, Johan; Engelen, Aschwin H.; Eriksson, Britas Klemens; Fodrie, F. Joel; Griffin, John N.; Hereu, Clara M.; Hori, Masakazu; Hughes, A. Randall; Ivanov, Mikhail V.; Jorgensen, Pablo; Kruschel, Claudia; Lee, Kun-Seop; Lefcheck, Jonathan; McGlathery, Karen; Moksnes, Per-Olav; Nakaoka, Masahiro; O'Connor, Mary I.; O'Connor, Nessa E.; Olsen, Jeanine L.; Orth, Robert J.; Peterson, Bradley J.; Reiss, Henning; Rossi, Francesca; Ruesink, Jennifer; Sotka, Erik E.; Thormar, Jonas; Tomas, Fiona; Unsworth, Richard; Voigt, Erin P.; Whalen, Matthew A.; Ziegler, Shelby L.; Stachowicz, John J.;Zip file including raw trait, environmental, and community data, code for conducting analyses, and a spreadsheet summarizing model selection. Peer reviewed
figshare arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2022 . 2023 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 17visibility views 17 download downloads 12 Powered bymore_vert figshare arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2022 . 2023 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6084/m9.figshare.19145110&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset , Collection 2022 SpainPublisher:The Royal Society Funded by:NSF | Collaborative Research: G..., NSF | Collaborative Research: G..., NSF | Collaborative Research: G...NSF| Collaborative Research: Global biodiversity and functioning of eelgrass ecosystems ,NSF| Collaborative Research: Global biodiversity and functioning of eelgrass ecosystems ,NSF| Collaborative Research: Global biodiversity and functioning of eelgrass ecosystemsGross, Collin P.; Duffy, J. Emmett; Hovel, Kevin A.; Kardish, Melissa R.; Reynolds, Pamela L.; Bostr��m, Christoffer; Boyer, Katharyn E.; Cusson, Mathieu; Ekl��f, Johan; Engelen, Aschwin H.; Eriksson, Britas Klemens; Fodrie, F. Joel; Griffin, John N.; Hereu, Clara M.; Hori, Masakazu; Hughes, A. Randall; Ivanov, Mikhail V.; Jorgensen, Pablo; Kruschel, Claudia; Lee, Kun-Seop; Lefcheck, Jonathan; McGlathery, Karen; Moksnes, Per-Olav; Nakaoka, Masahiro; O'Connor, Mary I.; O'Connor, Nessa E.; Olsen, Jeanine L.; Orth, Robert J.; Peterson, Bradley J.; Reiss, Henning; Rossi, Francesca; Ruesink, Jennifer; Sotka, Erik E.; Thormar, Jonas; Tomas, Fiona; Unsworth, Richard; Voigt, Erin P.; Whalen, Matthew A.; Ziegler, Shelby L.; Stachowicz, John J.;While considerable evidence exists of biogeographic patterns in the intensity of species interactions, the influence of these patterns on variation in community structure is less clear. Studying how the distributions of traits in communities vary along global gradients can inform how variation in interactions and other factors contribute to the process of community assembly. Using a model selection approach on measures of trait dispersion in crustaceans associated with eelgrass (Zostera marina) spanning 30° of latitude in two oceans, we found that dispersion strongly increased with increasing predation and decreasing latitude. Ocean and epiphyte load appeared as secondary predictors; Pacific communities were more overdispersed while Atlantic communities were more clustered, and increasing epiphytes were associated with increased clustering. By examining how species interactions and environmental filters influence community structure across biogeographic regions, we demonstrate how both latitudinal variation in species interactions and historical contingency shape these responses. Community trait distributions have implications for ecosystem stability and functioning, and integrating large-scale observations of environmental filters, species interactions and traits can help us predict how communities may respond to environmental change. This research was funded by National Science Foundation grants to J.E.D., J.J.S. and K.A.H. (NSF-OCE 1336206, OCE 1336905, and OCE 1336741). C.B. was funded by the Åbo Akademi University Foundation. Peer reviewed
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020 SpainPublisher:Editorial de la Universidad de Granada Funded by:EC | ECOPOTENTIALEC| ECOPOTENTIALAuthors: Lorite Moreno, Juan; Ros Candeira, Andrea; Alcaraz Segura, Domingo; Salazar-Mendías, Carlos;Lorite Moreno, Juan; Ros Candeira, Andrea; Alcaraz Segura, Domingo; Salazar-Mendías, Carlos;handle: 10481/66335
Providing a complete data set with species and trait information for a given area is essential for assessing plant conservation, management, and ecological restoration, for both local and global applications. Also, these data sets provide additional information for surveys or data collections, establishing the starting point for more detailed studies on plant evolution, vegetation dynamics, and vegetation responses to disturbance and management. This data base covers Sierra Nevada mountains (southeastern Spain), a recognized plant biodiversity hotspot within the Mediterranean context. According to previous available data (before this augmented compilation), these mountains host 7% of the 24,000 Mediterranean vascular plants, despite covering just 0.01% of its area. Another characteristic of the Sierra Nevada is the great singularity of its flora, with 95 taxa being endemic to the high-mountain area of Sierra Nevada and surroundings. From these endemic taxa, 70% are endangered by different threats, global warming being a leading cause. We seek to provide a complete and updated database of the flora of the Sierra Nevada mountains (southeast Spain). The goal of the present data set is to compile the names of all the vascular plant taxa inhabiting Sierra Nevada, together with relevant features including taxonomical, morphological-ecological traits, distribution, habitats, abundance, and conservation status. The data were compiled according to all the available information sources on taxonomy, ecology, and plant-species distribution. The resulting data set includes 2,348 taxa belonging to 1,937 species, 377 subspecies, and 34 hybrids, from a total of 756 genera and 146 families represented in the collection. For each taxa, together with taxonomical information (Phylum, Class, Family, Genus, Taxa), we compiled plant traits (life form, spinescence, flower symmetry, flower sexuality, plant gender, androecium:ginoecium ratio, flower color, perianth type, pollinator type, flowering, seed dispersal, and vegetative reproduction), and their environmental association (origin, endemic character, general distribution, substrate, elevation, habitat, local abundance, hygrophilous behavior, and conservation status). All these traits were compiled from all the available information sources, resulting in a complete and updated database for Sierra Nevada vascular flora. This data set provides valuable information on plant traits in an outstanding micro hotspot within the Mediterranean hotspot. This data set can be freely used for non commercial purposes. The complete data sets corresponding to abstracts published in theData Papers section in the journal are published electronically asSupportingInformationintheonlineversionofthisarticleat http://onlinelibrary.wiley.com/doi/10.1002/ecy.3091/suppinfo Associated data are also available at PANGAEA: https://doi.org/10.1594/PANGAEA.910792
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTADataset . 2020License: CC BY NCData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTA; Repositorio Institucional Universidad de GranadaOther dataset type . Dataset . 2021 . 2020add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTADataset . 2020License: CC BY NCData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTA; Repositorio Institucional Universidad de GranadaOther dataset type . Dataset . 2021 . 2020add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019 Spain EnglishPublisher:Zenodo Funded by:EC | ECOPOTENTIALEC| ECOPOTENTIALDíaz-Delgado, Ricardo; Afan, Isabel; Aragones, David; Garcia, Diego; Bustamante, Javier;handle: 10261/285758
Time Series of NDVI derived from Landsat TM, ETM+ & OLI in the Path 202 Row 34 (Doñana). Also, the product and its metadata are freely available to consult or downloaded in the LAST-EBD Cartography Server: http://mercurio.ebd.csic.es/imgs/ European Commission: ECOPOTENTIAL - ECOPOTENTIAL: IMPROVING FUTURE ECOSYSTEM BENEFITS THROUGH EARTH OBSERVATIONS (641762) Peer reviewed
ZENODO arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 70visibility views 70 download downloads 21 Powered bymore_vert ZENODO arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019 Spain EnglishPublisher:Zenodo Funded by:EC | ECOPOTENTIALEC| ECOPOTENTIALDíaz-Delgado, Ricardo; Afán, Isabel; Aragonés, David; García, Diego; Bustamante, Javier;handle: 10261/285756
Time Series water turbidity derived from Landsat TM, ETM+ & OLI in the Path 202 Row 34 (Doñana). Also, the product and its metadata are freely available to consult or downloaded in the LAST-EBD Cartography Server: http://mercurio.ebd.csic.es/imgs/ Teh methodology is described in the paper: Empirical models to estimate water turbidity from reflectance data from TM or ETM+ Landsat sensors in shallow wetlands such as Doñana marshes. See the reference: Bustamante, J. et al. 2009. Predictive models of turbidity and water depth in the Doñana marshes using Landsat TM and ETM+ images. Journal of Environmental Management. 90:2219-2225.https://doi.org/10.1016/j.jenvman.2007.08.021 European Commission: ECOPOTENTIAL - ECOPOTENTIAL: IMPROVING FUTURE ECOSYSTEM BENEFITS THROUGH EARTH OBSERVATIONS (641762) Peer reviewed
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 69visibility views 69 download downloads 15 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019 Spain EnglishPublisher:Zenodo Funded by:EC | ECOPOTENTIALEC| ECOPOTENTIALDíaz-Delgado, Ricardo; Afán, Isabel; Aragonés, David; García, Diego; Bustamante, Javier;handle: 10261/285761
Time Series of flooded areas derived from Landsat TM, ETM+ & OLI in the Path 202 Row 34 (Doñana). Also, these products and its metadata are freely available to consult or downloaded in the LAST-EBD Cartography Server: http://mercurio.ebd.csic.es/imgs/ Methodology is described in this paper: Remote Sensing 8(9):775 · September 2016. DOI: 10.3390/rs8090775 European Commission: ECOPOTENTIAL - ECOPOTENTIAL: IMPROVING FUTURE ECOSYSTEM BENEFITS THROUGH EARTH OBSERVATIONS (641762) Peer reviewed
ZENODO arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 87visibility views 87 download downloads 26 Powered bymore_vert ZENODO arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019 Spain EnglishPublisher:Zenodo Funded by:EC | ECOPOTENTIALEC| ECOPOTENTIALDíaz-Delgado, Ricardo; Afán, Isabel; Aragonés, David; García, Diego; Bustamante, Javier;handle: 10261/285759
Time Series of annual Hydroperiods derived from Landsat MSS, TM, ETM+ & OLI in the Path 202 Row 34 (Doñana) cover the period 1974-2018. European Commission: ECOPOTENTIAL - ECOPOTENTIAL: IMPROVING FUTURE ECOSYSTEM BENEFITS THROUGH EARTH OBSERVATIONS (641762) Peer reviewed
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 98visibility views 98 download downloads 19 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Embargo end date: 19 Dec 2018 Spain EnglishPublisher:Dryad Bird, Christopher Stephen; Veríssimo, Ana; Magozzi, Sarah; Abrantes, Kátya G.; Aguilar, Alex; Al-Reasi, Hassan; Barnett, Adam; Bethea, Dana M.; Biais, Gérard; Borrell, Asuncion; Bouchoucha, Marc; Boyle, Mariah; Brooks, Edward J.; Brunnschweiler, Juerg; Bustamante, Paco; Carlisle, Aaron; Catarino, Diana; Caut, Stéphane; Cherel, Yves; Chouvelon, Tiphaine; Churchill, Diana; Ciancio, Javier; Claes, Julien; Colaço, Ana; Courtney, Dean L.; Cresson, Pierre; Daly, Ryan; De Necker, Leigh; Endo, Tetsuya; Figueiredo, Ivone; Frisch, Ashley J.; Hansen, Joan Holst; Heithaus, Michael; Hussey, Nigel E.; Iitembu, Johannes; Juanes, Francis; Kinney, Michael J.; Kiszka, Jeremy J.; Klarian, Sebastian A.; Kopp, Dorothée; Leaf, Robert; Li, Yunkai; Lorrain, Anne; Madigan, Daniel J.; Maljković, Aleksandra; Malpica-Cruz, Luis; Matich, Philip; Meekan, Mark G.; Ménard, Frédéric; Menezes, Gui M.; Munroe, Samantha E.M.; Newman, Michael C.; Papastamatiou, Yannis P.; Pethybridge, Heidi; Plumlee, Jeffrey D.; Polo-Silva, Carlos; Quaeck-Davies, Katie; Raoult, Vincent; Reum, Jonathan; Torres-Rojas, Yassir Eden; Shiffman, David S.; Shipley, Oliver N.; Speed, Conrad W.; Staudinger, Michelle D.; Teffer, Amy K.; Tilley, Alexander; Valls, Maria; Vaudo, Jeremy J.; Wai, Tak-Cheung; Wells, R. J. David; Wyatt, Alex S. J.; Yool, Andrew; Trueman, Clive N.;doi: 10.5061/dryad.d1f0d
handle: 10261/281227
Sharks are a diverse group of mobile predators that forage across varied spatial scales and have the potential to influence food web dynamics. The ecological consequences of recent declines in shark biomass may extend across broader geographic ranges if shark taxa display common behavioural traits. By tracking the original site of photosynthetic fixation of carbon atoms that were ultimately assimilated into muscle tissues of 5,394 sharks from 114 species, we identify globally consistent biogeographic traits in trophic interactions between sharks found in different habitats. We show that populations of shelf-dwelling sharks derive a substantial proportion of their carbon from regional pelagic sources, but contain individuals that forage within additional isotopically diverse local food webs, such as those supported by terrestrial plant sources, benthic production and macrophytes. In contrast, oceanic sharks seem to use carbon derived from between 30° and 50° of latitude. Global-scale compilations of stable isotope data combined with biogeochemical modelling generate hypotheses regarding animal behaviours that can be tested with other methodological approaches. Bird_etal_shark_trophic_geography Carbon isotope data compiled from muscle tissues of 5394 sharks from 114 species. Data provided include d13C values, latitude of capture, designation as shelf, slope or oceanic shark, length, depth of capture (where available), C/N ratios of muscle, and lipid extraction method if used. Also included are phytoplankton d13C data modelled from Magozzi et al 2016 (Ecosphere 8(5):e01763. 10.1002/ecs2.1763). Model data expressed as the median and standard deviation d13C value for the Longhurst Biogeographic province corresponding to the location of shark capture Peer reviewed
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2018 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 56visibility views 56 download downloads 22 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2018 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2017 SpainPublisher:Dryad Digital Repository Authors: Martinez-Padilla, Jesús; Estrada, Alba; Early, Regan; García-González, Francisco;Martinez-Padilla, Jesús; Estrada, Alba; Early, Regan; García-González, Francisco;handle: 10261/281599
Understanding and forecasting the effects of environmental change on wild populations requires knowledge on a critical question: do populations have the ability to evolve in response to that change? However, our knowledge on how evolution works in wild conditions under different environmental circumstances is extremely limited. We investigated how environmental variation influences the evolutionary potential of phenotypic traits. We used published data to collect or calculate 135 estimates of evolvability of morphological traits of European wild bird populations. We characterized the environmental favourability of each population throughout the species' breeding distribution. Our results suggest that the evolutionary potential of morphological traits decreases as environmental favourability becomes high or low. Strong environmental selection pressures and high intra-specific competition may reduce species' evolutionary potential in low- and high- favourability areas, respectively. This suggests that species may be least able to adapt to new climate conditions at their range margins and at the centre. Our results underscore the need to consider the evolutionary potential of populations when studying the drivers of species distributions, particularly when predicting the effects of environmental change. We discuss the utility of integrating evolutionary dynamics into a biogeographical perspective to understand how environmental variation shapes evolutionary patterns. This approach would also produce more reliable predictions about the effect of environmental change on population persistence and therefore on biodiversity. Data from: Evolvability meets biogeography: evolutionary potential decreases at high and low environmental favourability Fav_CVa_wildbirds.xlsx Data from: Evolvability meets biogeography: evolutionary potential decreases at high and low environmental favourability Fav_Ia_wildbirds.xlsx Species distribution and environmental variables Here we provide the environmental variables used to construct the SDM for each species. Description of the variables are given in the ESM of the paper Sps_environmental_variables.csv Peer reviewed
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2017 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 25visibility views 25 download downloads 26 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2017 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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Research data keyboard_double_arrow_right Dataset 2024 SpanishPublisher:Zenodo Authors: Segura-Pérez, Ángela; Acosta-Escareño, Gabriela; Escorcia-Mora, Claudia Tatiana; Tárraga-Mínguez, Raúl;Segura-Pérez, Ángela; Acosta-Escareño, Gabriela; Escorcia-Mora, Claudia Tatiana; Tárraga-Mínguez, Raúl;This database corresponds to the results of the paper "Percepciones del profesorado sobre el papel de los sistemas aumentativos y alternativos de comunicación" which has been accepted for publication on 17th November 2023 in the journal Educaçao e Pesquisa (ISSN:1678-4634).
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.10681149&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 SpainPublisher:The Royal Society Funded by:NSF | Collaborative Research: G..., NSF | Collaborative Research: G..., NSF | Collaborative Research: G...NSF| Collaborative Research: Global biodiversity and functioning of eelgrass ecosystems ,NSF| Collaborative Research: Global biodiversity and functioning of eelgrass ecosystems ,NSF| Collaborative Research: Global biodiversity and functioning of eelgrass ecosystemsGross, Collin P.; Duffy, J. Emmett; Hovel, Kevin A.; Kardish, Melissa R.; Reynolds, Pamela L.; Bostr��m, Christoffer; Boyer, Katharyn E.; Cusson, Mathieu; Ekl��f, Johan; Engelen, Aschwin H.; Eriksson, Britas Klemens; Fodrie, F. Joel; Griffin, John N.; Hereu, Clara M.; Hori, Masakazu; Hughes, A. Randall; Ivanov, Mikhail V.; Jorgensen, Pablo; Kruschel, Claudia; Lee, Kun-Seop; Lefcheck, Jonathan; McGlathery, Karen; Moksnes, Per-Olav; Nakaoka, Masahiro; O'Connor, Mary I.; O'Connor, Nessa E.; Olsen, Jeanine L.; Orth, Robert J.; Peterson, Bradley J.; Reiss, Henning; Rossi, Francesca; Ruesink, Jennifer; Sotka, Erik E.; Thormar, Jonas; Tomas, Fiona; Unsworth, Richard; Voigt, Erin P.; Whalen, Matthew A.; Ziegler, Shelby L.; Stachowicz, John J.;Zip file including raw trait, environmental, and community data, code for conducting analyses, and a spreadsheet summarizing model selection. Peer reviewed
figshare arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2022 . 2023 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6084/m9.figshare.19145110&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 17visibility views 17 download downloads 12 Powered bymore_vert figshare arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2022 . 2023 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6084/m9.figshare.19145110&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset , Collection 2022 SpainPublisher:The Royal Society Funded by:NSF | Collaborative Research: G..., NSF | Collaborative Research: G..., NSF | Collaborative Research: G...NSF| Collaborative Research: Global biodiversity and functioning of eelgrass ecosystems ,NSF| Collaborative Research: Global biodiversity and functioning of eelgrass ecosystems ,NSF| Collaborative Research: Global biodiversity and functioning of eelgrass ecosystemsGross, Collin P.; Duffy, J. Emmett; Hovel, Kevin A.; Kardish, Melissa R.; Reynolds, Pamela L.; Bostr��m, Christoffer; Boyer, Katharyn E.; Cusson, Mathieu; Ekl��f, Johan; Engelen, Aschwin H.; Eriksson, Britas Klemens; Fodrie, F. Joel; Griffin, John N.; Hereu, Clara M.; Hori, Masakazu; Hughes, A. Randall; Ivanov, Mikhail V.; Jorgensen, Pablo; Kruschel, Claudia; Lee, Kun-Seop; Lefcheck, Jonathan; McGlathery, Karen; Moksnes, Per-Olav; Nakaoka, Masahiro; O'Connor, Mary I.; O'Connor, Nessa E.; Olsen, Jeanine L.; Orth, Robert J.; Peterson, Bradley J.; Reiss, Henning; Rossi, Francesca; Ruesink, Jennifer; Sotka, Erik E.; Thormar, Jonas; Tomas, Fiona; Unsworth, Richard; Voigt, Erin P.; Whalen, Matthew A.; Ziegler, Shelby L.; Stachowicz, John J.;While considerable evidence exists of biogeographic patterns in the intensity of species interactions, the influence of these patterns on variation in community structure is less clear. Studying how the distributions of traits in communities vary along global gradients can inform how variation in interactions and other factors contribute to the process of community assembly. Using a model selection approach on measures of trait dispersion in crustaceans associated with eelgrass (Zostera marina) spanning 30° of latitude in two oceans, we found that dispersion strongly increased with increasing predation and decreasing latitude. Ocean and epiphyte load appeared as secondary predictors; Pacific communities were more overdispersed while Atlantic communities were more clustered, and increasing epiphytes were associated with increased clustering. By examining how species interactions and environmental filters influence community structure across biogeographic regions, we demonstrate how both latitudinal variation in species interactions and historical contingency shape these responses. Community trait distributions have implications for ecosystem stability and functioning, and integrating large-scale observations of environmental filters, species interactions and traits can help us predict how communities may respond to environmental change. This research was funded by National Science Foundation grants to J.E.D., J.J.S. and K.A.H. (NSF-OCE 1336206, OCE 1336905, and OCE 1336741). C.B. was funded by the Åbo Akademi University Foundation. Peer reviewed
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020 SpainPublisher:Editorial de la Universidad de Granada Funded by:EC | ECOPOTENTIALEC| ECOPOTENTIALAuthors: Lorite Moreno, Juan; Ros Candeira, Andrea; Alcaraz Segura, Domingo; Salazar-Mendías, Carlos;Lorite Moreno, Juan; Ros Candeira, Andrea; Alcaraz Segura, Domingo; Salazar-Mendías, Carlos;handle: 10481/66335
Providing a complete data set with species and trait information for a given area is essential for assessing plant conservation, management, and ecological restoration, for both local and global applications. Also, these data sets provide additional information for surveys or data collections, establishing the starting point for more detailed studies on plant evolution, vegetation dynamics, and vegetation responses to disturbance and management. This data base covers Sierra Nevada mountains (southeastern Spain), a recognized plant biodiversity hotspot within the Mediterranean context. According to previous available data (before this augmented compilation), these mountains host 7% of the 24,000 Mediterranean vascular plants, despite covering just 0.01% of its area. Another characteristic of the Sierra Nevada is the great singularity of its flora, with 95 taxa being endemic to the high-mountain area of Sierra Nevada and surroundings. From these endemic taxa, 70% are endangered by different threats, global warming being a leading cause. We seek to provide a complete and updated database of the flora of the Sierra Nevada mountains (southeast Spain). The goal of the present data set is to compile the names of all the vascular plant taxa inhabiting Sierra Nevada, together with relevant features including taxonomical, morphological-ecological traits, distribution, habitats, abundance, and conservation status. The data were compiled according to all the available information sources on taxonomy, ecology, and plant-species distribution. The resulting data set includes 2,348 taxa belonging to 1,937 species, 377 subspecies, and 34 hybrids, from a total of 756 genera and 146 families represented in the collection. For each taxa, together with taxonomical information (Phylum, Class, Family, Genus, Taxa), we compiled plant traits (life form, spinescence, flower symmetry, flower sexuality, plant gender, androecium:ginoecium ratio, flower color, perianth type, pollinator type, flowering, seed dispersal, and vegetative reproduction), and their environmental association (origin, endemic character, general distribution, substrate, elevation, habitat, local abundance, hygrophilous behavior, and conservation status). All these traits were compiled from all the available information sources, resulting in a complete and updated database for Sierra Nevada vascular flora. This data set provides valuable information on plant traits in an outstanding micro hotspot within the Mediterranean hotspot. This data set can be freely used for non commercial purposes. The complete data sets corresponding to abstracts published in theData Papers section in the journal are published electronically asSupportingInformationintheonlineversionofthisarticleat http://onlinelibrary.wiley.com/doi/10.1002/ecy.3091/suppinfo Associated data are also available at PANGAEA: https://doi.org/10.1594/PANGAEA.910792
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTADataset . 2020License: CC BY NCData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTA; Repositorio Institucional Universidad de GranadaOther dataset type . Dataset . 2021 . 2020add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTADataset . 2020License: CC BY NCData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTA; Repositorio Institucional Universidad de GranadaOther dataset type . Dataset . 2021 . 2020add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019 Spain EnglishPublisher:Zenodo Funded by:EC | ECOPOTENTIALEC| ECOPOTENTIALDíaz-Delgado, Ricardo; Afan, Isabel; Aragones, David; Garcia, Diego; Bustamante, Javier;handle: 10261/285758
Time Series of NDVI derived from Landsat TM, ETM+ & OLI in the Path 202 Row 34 (Doñana). Also, the product and its metadata are freely available to consult or downloaded in the LAST-EBD Cartography Server: http://mercurio.ebd.csic.es/imgs/ European Commission: ECOPOTENTIAL - ECOPOTENTIAL: IMPROVING FUTURE ECOSYSTEM BENEFITS THROUGH EARTH OBSERVATIONS (641762) Peer reviewed
ZENODO arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 70visibility views 70 download downloads 21 Powered bymore_vert ZENODO arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.3518878&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019 Spain EnglishPublisher:Zenodo Funded by:EC | ECOPOTENTIALEC| ECOPOTENTIALDíaz-Delgado, Ricardo; Afán, Isabel; Aragonés, David; García, Diego; Bustamante, Javier;handle: 10261/285756
Time Series water turbidity derived from Landsat TM, ETM+ & OLI in the Path 202 Row 34 (Doñana). Also, the product and its metadata are freely available to consult or downloaded in the LAST-EBD Cartography Server: http://mercurio.ebd.csic.es/imgs/ Teh methodology is described in the paper: Empirical models to estimate water turbidity from reflectance data from TM or ETM+ Landsat sensors in shallow wetlands such as Doñana marshes. See the reference: Bustamante, J. et al. 2009. Predictive models of turbidity and water depth in the Doñana marshes using Landsat TM and ETM+ images. Journal of Environmental Management. 90:2219-2225.https://doi.org/10.1016/j.jenvman.2007.08.021 European Commission: ECOPOTENTIAL - ECOPOTENTIAL: IMPROVING FUTURE ECOSYSTEM BENEFITS THROUGH EARTH OBSERVATIONS (641762) Peer reviewed
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 69visibility views 69 download downloads 15 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.3519042&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019 Spain EnglishPublisher:Zenodo Funded by:EC | ECOPOTENTIALEC| ECOPOTENTIALDíaz-Delgado, Ricardo; Afán, Isabel; Aragonés, David; García, Diego; Bustamante, Javier;handle: 10261/285761
Time Series of flooded areas derived from Landsat TM, ETM+ & OLI in the Path 202 Row 34 (Doñana). Also, these products and its metadata are freely available to consult or downloaded in the LAST-EBD Cartography Server: http://mercurio.ebd.csic.es/imgs/ Methodology is described in this paper: Remote Sensing 8(9):775 · September 2016. DOI: 10.3390/rs8090775 European Commission: ECOPOTENTIAL - ECOPOTENTIAL: IMPROVING FUTURE ECOSYSTEM BENEFITS THROUGH EARTH OBSERVATIONS (641762) Peer reviewed
ZENODO arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 87visibility views 87 download downloads 26 Powered bymore_vert ZENODO arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.3518181&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019 Spain EnglishPublisher:Zenodo Funded by:EC | ECOPOTENTIALEC| ECOPOTENTIALDíaz-Delgado, Ricardo; Afán, Isabel; Aragonés, David; García, Diego; Bustamante, Javier;handle: 10261/285759
Time Series of annual Hydroperiods derived from Landsat MSS, TM, ETM+ & OLI in the Path 202 Row 34 (Doñana) cover the period 1974-2018. European Commission: ECOPOTENTIAL - ECOPOTENTIAL: IMPROVING FUTURE ECOSYSTEM BENEFITS THROUGH EARTH OBSERVATIONS (641762) Peer reviewed
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 98visibility views 98 download downloads 19 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Embargo end date: 19 Dec 2018 Spain EnglishPublisher:Dryad Bird, Christopher Stephen; Veríssimo, Ana; Magozzi, Sarah; Abrantes, Kátya G.; Aguilar, Alex; Al-Reasi, Hassan; Barnett, Adam; Bethea, Dana M.; Biais, Gérard; Borrell, Asuncion; Bouchoucha, Marc; Boyle, Mariah; Brooks, Edward J.; Brunnschweiler, Juerg; Bustamante, Paco; Carlisle, Aaron; Catarino, Diana; Caut, Stéphane; Cherel, Yves; Chouvelon, Tiphaine; Churchill, Diana; Ciancio, Javier; Claes, Julien; Colaço, Ana; Courtney, Dean L.; Cresson, Pierre; Daly, Ryan; De Necker, Leigh; Endo, Tetsuya; Figueiredo, Ivone; Frisch, Ashley J.; Hansen, Joan Holst; Heithaus, Michael; Hussey, Nigel E.; Iitembu, Johannes; Juanes, Francis; Kinney, Michael J.; Kiszka, Jeremy J.; Klarian, Sebastian A.; Kopp, Dorothée; Leaf, Robert; Li, Yunkai; Lorrain, Anne; Madigan, Daniel J.; Maljković, Aleksandra; Malpica-Cruz, Luis; Matich, Philip; Meekan, Mark G.; Ménard, Frédéric; Menezes, Gui M.; Munroe, Samantha E.M.; Newman, Michael C.; Papastamatiou, Yannis P.; Pethybridge, Heidi; Plumlee, Jeffrey D.; Polo-Silva, Carlos; Quaeck-Davies, Katie; Raoult, Vincent; Reum, Jonathan; Torres-Rojas, Yassir Eden; Shiffman, David S.; Shipley, Oliver N.; Speed, Conrad W.; Staudinger, Michelle D.; Teffer, Amy K.; Tilley, Alexander; Valls, Maria; Vaudo, Jeremy J.; Wai, Tak-Cheung; Wells, R. J. David; Wyatt, Alex S. J.; Yool, Andrew; Trueman, Clive N.;doi: 10.5061/dryad.d1f0d
handle: 10261/281227
Sharks are a diverse group of mobile predators that forage across varied spatial scales and have the potential to influence food web dynamics. The ecological consequences of recent declines in shark biomass may extend across broader geographic ranges if shark taxa display common behavioural traits. By tracking the original site of photosynthetic fixation of carbon atoms that were ultimately assimilated into muscle tissues of 5,394 sharks from 114 species, we identify globally consistent biogeographic traits in trophic interactions between sharks found in different habitats. We show that populations of shelf-dwelling sharks derive a substantial proportion of their carbon from regional pelagic sources, but contain individuals that forage within additional isotopically diverse local food webs, such as those supported by terrestrial plant sources, benthic production and macrophytes. In contrast, oceanic sharks seem to use carbon derived from between 30° and 50° of latitude. Global-scale compilations of stable isotope data combined with biogeochemical modelling generate hypotheses regarding animal behaviours that can be tested with other methodological approaches. Bird_etal_shark_trophic_geography Carbon isotope data compiled from muscle tissues of 5394 sharks from 114 species. Data provided include d13C values, latitude of capture, designation as shelf, slope or oceanic shark, length, depth of capture (where available), C/N ratios of muscle, and lipid extraction method if used. Also included are phytoplankton d13C data modelled from Magozzi et al 2016 (Ecosphere 8(5):e01763. 10.1002/ecs2.1763). Model data expressed as the median and standard deviation d13C value for the Longhurst Biogeographic province corresponding to the location of shark capture Peer reviewed
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2018 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5061/dryad.d1f0d&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 56visibility views 56 download downloads 22 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2018 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5061/dryad.d1f0d&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2017 SpainPublisher:Dryad Digital Repository Authors: Martinez-Padilla, Jesús; Estrada, Alba; Early, Regan; García-González, Francisco;Martinez-Padilla, Jesús; Estrada, Alba; Early, Regan; García-González, Francisco;handle: 10261/281599
Understanding and forecasting the effects of environmental change on wild populations requires knowledge on a critical question: do populations have the ability to evolve in response to that change? However, our knowledge on how evolution works in wild conditions under different environmental circumstances is extremely limited. We investigated how environmental variation influences the evolutionary potential of phenotypic traits. We used published data to collect or calculate 135 estimates of evolvability of morphological traits of European wild bird populations. We characterized the environmental favourability of each population throughout the species' breeding distribution. Our results suggest that the evolutionary potential of morphological traits decreases as environmental favourability becomes high or low. Strong environmental selection pressures and high intra-specific competition may reduce species' evolutionary potential in low- and high- favourability areas, respectively. This suggests that species may be least able to adapt to new climate conditions at their range margins and at the centre. Our results underscore the need to consider the evolutionary potential of populations when studying the drivers of species distributions, particularly when predicting the effects of environmental change. We discuss the utility of integrating evolutionary dynamics into a biogeographical perspective to understand how environmental variation shapes evolutionary patterns. This approach would also produce more reliable predictions about the effect of environmental change on population persistence and therefore on biodiversity. Data from: Evolvability meets biogeography: evolutionary potential decreases at high and low environmental favourability Fav_CVa_wildbirds.xlsx Data from: Evolvability meets biogeography: evolutionary potential decreases at high and low environmental favourability Fav_Ia_wildbirds.xlsx Species distribution and environmental variables Here we provide the environmental variables used to construct the SDM for each species. Description of the variables are given in the ESM of the paper Sps_environmental_variables.csv Peer reviewed
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2017 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5061/dryad.dh98c/1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 25visibility views 25 download downloads 26 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2017 . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5061/dryad.dh98c/1&type=result"></script>'); --> </script>
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