Predicting the impact of invasive trees from different measures of abundance
| dc.contributor.author | Moyano, J. | |
| dc.contributor.author | Zamora Nasca, L.B. | |
| dc.contributor.author | Caplat, P. | |
| dc.contributor.author | Garcia Diaz, Pablo | |
| dc.contributor.author | Langdon, B. | |
| dc.contributor.author | Lambin, Xavier | |
| dc.contributor.author | Montti, Lia | |
| dc.contributor.author | Pauchard, Aníbal | |
| dc.contributor.author | Núñez, M.A. | |
| dc.contributor.institution | University of Aberdeen.Biological Sciences | en |
| dc.contributor.institution | University of Aberdeen.Environment and Food Security | en |
| dc.date.accessioned | 2023-10-24T23:15:03Z | |
| dc.date.available | 2023-10-24T23:15:03Z | |
| dc.date.embargoedUntil | 2023-10-25 | |
| dc.date.issued | 2023-01-01 | |
| dc.description | Acknowledgements We are very grateful with Martin Reto, who provided key help with the filed work of this study. We thank the owners of the private lands where we carried out our field work for giving us permission to work there. We also thank Nadia Rojas, who helped with sample processing. This research project was funded under the Latin American Biodiversity Programmme as part of the Newton Fund (NE/s011641/1), with contributions from NERC and the Argentine National Scientific & Technical Research Council (CONICET, -2019-74-APN-DIR#CONICET). AP and BL were funded by ANID/BASAL FB10006. | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 11 | |
| dc.format.extent | 20242068 | |
| dc.identifier | 219825740 | |
| dc.identifier | 60e957cb-0202-45f6-b794-8b082c507502 | |
| dc.identifier | 36306626 | |
| dc.identifier | 85140343175 | |
| dc.identifier | 000889623500007 | |
| dc.identifier.citation | Moyano, J, Zamora Nasca, L B, Caplat, P, Garcia Diaz, P, Langdon, B, Lambin, X, Montti, L, Pauchard, A & Núñez, M A 2023, 'Predicting the impact of invasive trees from different measures of abundance', Journal of Environmental Management, vol. 325, no. Part B, 116480. https://doi.org/10.1016/j.jenvman.2022.116480 | en |
| dc.identifier.doi | 10.1016/j.jenvman.2022.116480 | |
| dc.identifier.issn | 0301-4797 | |
| dc.identifier.other | ORCID: /0000-0001-5402-0611/work/121963070 | |
| dc.identifier.other | ORCID: /0000-0003-4643-2653/work/121963123 | |
| dc.identifier.uri | https://hdl.handle.net/2164/22000 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85140343175&partnerID=8YFLogxK | en |
| dc.identifier.vol | 325 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Journal of Environmental Management | en |
| dc.subject | Impact-based management | en |
| dc.subject | Grasslands | en |
| dc.subject | Livestock grazing | en |
| dc.subject | Pinus | en |
| dc.subject | Primary productivity | en |
| dc.subject | Woody invasions | en |
| dc.subject | QK Botany | en |
| dc.subject | QH301 Biology | en |
| dc.subject | Natural Environment Research Council (NERC) | en |
| dc.subject | NE/s011641/1 | en |
| dc.subject | Supplementary Data | en |
| dc.subject.lcc | QK | en |
| dc.subject.lcc | QH301 | en |
| dc.title | Predicting the impact of invasive trees from different measures of abundance | en |
| dc.type | Journal article | en |
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