Universidad Nacional del Comahue
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This dataset contains total green biomass, palatable green biomass, sheep stocking rate, Pinus contorta tree density, P. contorta basal area and percentage canopy cover in sites across northwest Patagonia, during the summer of 2020. We measured total green biomass in the peak production (kg /hectare/year), as a metric for aboveground annual productivity, in five different sites and for a wide range of P. contorta abundance. We also measured palatable green biomass (kg/hectare/year), considering only those plant species foraged by sheep. We calculated the sheep stocking rate that can sustainably support the grasslands of our study based on the feeding requirement of an Ovine Livestock Unit (OLU). The OLU represents a Merino wether (castrated male sheep) with an average live weight of 40 kg that consume 365 kg of dry forage in a year in Patagonia grasslands. We counted the number of P. contorta individuals to calculate density (trees/ha) and recorded their diameter at ground level to calculate basal area (m2/ha) (an alternative measure of P. contorta abundance). Additionally, on each subplot we took a hemispheric picture to estimate the canopy cover (%) of P. contorta (a third measure of P. contorta abundance). Full details about this dataset can be found at https://doi.org/10.5285/066b0d36-d28a-422e-b29a-298c98b8a536
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This dataset comprises summary data for a literature search on invasive alien species (IAS) control efficacy and their outcomes. It contains article title, authors, journal, year of publication, taxa investigated, type of control method, and whether the paper evaluated outcomes. Overall, 373 publications were assessed. The literature search on Web of Science and the subsequent screening were conducted between May and July 2020. Full details about this dataset can be found at https://doi.org/10.5285/7b274f84-0d93-416d-a5b3-54f3387cebd5
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This dataset contain inventories of the impacts of invasive alien species (IAS) in Brazil, Chile, and Argentina. These include seven case studies: pines (Pinus contorta) in the Araucanía and Aysén Regions (Chile); (ii) pines (Pinus contorta) in the Northern Patagonia Region (Argentina); (iii) privet (Ligustrum lucidum) in the Yungas Forest (Argentina); (iv) invasive grasses (Urochloa brizantha and Urochloa decumbens) in the Cerrado (Brazil); (v) the American mink (Neovison vison) in Austral Patagonia (Argentina); (vi) the American mink in the Los Ríos Region (Chile); and, (vi) the yellow jacket wasps (Vespula germanica) in the Los Ríos Region (Chile). The impacts were elicited by experts (varying between two and four experts for each case study) following the procedures described in the supporting files. A total of 1,526 impacts were identified by the experts, and these impacts can be found in the "Compiled-Impact.csv" file. This file contains information about the impact outcome, impact mechanism, EICAT impact category, level of confidence, the species or asset impacted, the direction of the impact, the extent of the study area, the name of the IAS, whether the IAS is a plant or an animal, and the country. After two rounds of scoring, the impacts listed in the “Compiled-Impact.csv” were further discussed during a facilitated workshop in San Carlos de Bariloche (Argentina; December 2019). The final, agreed impact scores can be found in the file "Unique-Impact.csv". This final dataset contains 209 impacts and information about the same variables described above for the "Compiled-Impact.csv" file. Full details about this dataset can be found at https://doi.org/10.5285/d00a647a-16ec-4d2a-a3a3-ad59597e8ca2
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Data package containing information and the results of our expert-based stakeholder mapping exercise for six invasive non-native species case studies in Argentina, Brazil, and Chile, 2021. These six case studies included invasive grasses (Urochloa spp.) in Brazil, glossy privet (Ligustrum lucidum) in Argentina, lodgepole (Pinus contorta) and Montery pines (Pinus radiata) in Argentina, American mink (Neogale vison) in Argentina and Chile, lodgepole (Pinus contorta) and Montery pines (Pinus radiata) in Chile, and German yellow-jacket (Vespula germanica) in Chile. The datasets included are: (i) a list of all the stakeholders identified, their characteristics, interest in invasive non-native species (INNS) and their management, and the positive and negative ecological, economic, and social impacts of INNS experienced by the stakeholders; (ii) an example of a stakeholder spreadsheet used to collect information during our activities; (iii) a list of consensus strategies for engaging stakeholders identified by the participants; and (iv) two examples of stakeholder engagement strategies. Full details about this dataset can be found at https://doi.org/10.5285/450fd469-5cd7-4c8f-b113-ba469c358caf