Moyano, J.Zamora Nasca, L.B.Caplat, P.Garcia Diaz, PabloLangdon, B.Lambin, XavierMontti, LiaPauchard, AníbalNúñez, M.A.2023-10-242023-10-242023-01-01Moyano, 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.2022.1164800301-4797ORCID: /0000-0001-5402-0611/work/121963070ORCID: /0000-0003-4643-2653/work/121963123https://hdl.handle.net/2164/22000Acknowledgements 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 FB10006.1120242068engImpact-based managementGrasslandsLivestock grazingPinusPrimary productivityWoody invasionsQK BotanyQH301 BiologyNatural Environment Research Council (NERC)NE/s011641/1Supplementary DataQKQH301Journal article10.1016/j.jenvman.2022.116480http://www.scopus.com/inward/record.url?scp=85140343175&partnerID=8YFLogxK325