2016
DOI: 10.1016/j.futures.2015.10.014
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Building scenarios for ecosystem services tools: Developing a methodology for efficient engagement with expert stakeholders

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Cited by 42 publications
(27 citation statements)
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“…Moreover, biological invasions have arisen from a complex interplay of environmental, socio-economic and societal changes that are difficult to project using classical modeling techniques, like static habitat suitability models, population dynamic models or cellular automata (see Buchadas et al, 2017;Capinha et al, 2018;Lenzner et al, 2019). To overcome such multi-disciplinary challenges, combining classical forecasting techniques with expert-based assessments has proven to be a promising approach (e.g., through qualitative surveys; Berg et al, 2016;Symstad et al, 2017;Reside et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, biological invasions have arisen from a complex interplay of environmental, socio-economic and societal changes that are difficult to project using classical modeling techniques, like static habitat suitability models, population dynamic models or cellular automata (see Buchadas et al, 2017;Capinha et al, 2018;Lenzner et al, 2019). To overcome such multi-disciplinary challenges, combining classical forecasting techniques with expert-based assessments has proven to be a promising approach (e.g., through qualitative surveys; Berg et al, 2016;Symstad et al, 2017;Reside et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…The scenario building is a powerful tool that allows for visualization and quantification of potential impacts that human uses could have on the ecosystems [ 63 , 64 ], as well as for determination of the trade-offs and synergies that are produced within the system [ 65 ]. In this case, the prospective method allowed to systematically create future scenarios for the SA with better spatial and temporal resolution.…”
Section: Discussionmentioning
confidence: 99%
“…As part of the scenario generation, we queried local expert stakeholders representing public, private, and non-profit sectors, with 16 out of 18 interested stakeholders completing the questionnaire that helped us determine drivers and expected magnitude of land cover change over a 10 year period. As further described with full questionnaire used in Berg et al (2015), we created scenarios of conservation and development trajectories using the InVEST Scenario Generator Tool version 3.1.0. to use as input into both models to produce both the value of N retained in both scenarios and the amount of N exported ( Fig. 3).…”
Section: Scenario Generationmentioning
confidence: 99%
“…Future scenario generation is commonly used in the ecosystem services field (Alcamo, 2008;Cook et al, 2014). As described in detail in a previous publication, we queried a variety of expert stakeholders representing various sectors, build future land cover scenarios, and simulated the impacts of both conservation efforts and increased development on N loads from each tributary (Berg et al, 2015). Again, the ultimate goal of this study was to investigate the amount of nitrogen removed and costs avoided of non-point source N management compared to point source management using two stakeholder-driven future land cover scenarios.…”
Section: Introductionmentioning
confidence: 99%