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- Fayet, Catherine M. J., et al.
(författare)
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TERRANOVA White Paper 2. An Explorative opinion paper : ‘WHY DO WE NEED STAKEHOLDERS’ ENGAGEMENT IN KNOWLEDGE PRODUCTION: TERRANOVA’S VISION ON LANDSCAPE TRANSFORMATION’
- 2021
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Annan publikation (populärvet., debatt m.m.)abstract
- This is the second out of three white papers from the TERRANOVA project, The European Landscape Learning Initiative an Innovative Training Network consortium of the European Union’s Marie Skłodowska-Curie Actions. Between 2019 and 2023, fifteen Early Stage Researchers (ESRs - ie. PhD students) are trained within this project to envision ‘nature-based' landscape developments for Europe, relying on an integrated and multidisciplinary approach. TERRANOVA seeks to outline the necessity to promote good communication skills in research to transfer efficiently ‘landscape knowledge’ to policymakers and the public. This white paper presents TERRANOVA’s vision on landscape transformation and stakeholders’ engagement in knowledge production. First, we reflect on the relevance of engaging with stakeholders in research. Second, we present the outcomes of a workshop conducted with practitioners in nature conservation and reflect on the challenges they reported to integrate interdisciplinarity in their practice. We conclude that the inclusion of stakeholders and practitioners at every stage is key to ensure that research outcomes have a societal impact. Strengthening this approach will ensure that TERRANOVA ESRs’ research outputs are understandable and useful for land managers and decision-makers.HIGHLIGHTS: RECOMMENDATIONSEstablishing connections between TERRANOVA and stakeholders involved in landscape management is crucial to ensure the relevancy and usefulness of ESRs’ research.TERRANOVA researchers and stakeholders met to discuss how research can be tailored to stakeholders’ needs during a workshop on Friday 26th February 2021.TERRANOVA’s ESRs collected recommendations for their own research practices that reinforced their willingness to engage with stakeholders, connect with practitioners and rely on participatory methods for landscape management interventions.Stakeholders identified the engagement of different local stakeholders, the coexistence of diverging visions about conservation goals, the unexpected outcomes of top-down policy incentives, and the difficulty of setting conservation goals priority as main challenges in conservation practices.
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| 3. |
- Magliocca, Nicholas R., et al.
(författare)
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From meta-studies to modeling: Using synthesis knowledge to build broadly applicable process-based land change models
- 2015
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Ingår i: Environmental Modelling & Software. - : Elsevier BV. - 1364-8152. ; 72, s. 10-20
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Tidskriftsartikel (refereegranskat)abstract
- This paper explores how meta-studies can support the development of process-based land change models (LCMs) that can be applied across locations and scales. We describe a multi-step framework for model development and provide descriptions and examples of how meta-studies can be used in each step. We conclude that meta-studies best support the conceptualization and experimentation phases of the model development cycle, but cannot typically provide full model parameterizations. Moreover, meta-studies are particularly useful for developing agent-based LCMs that can be applied across a wide range of contexts, locations, and/or scales, because meta-studies provide both quantitative and qualitative data needed to derive agent behaviors more readily than from case study or aggregate data sources alone. Recent land change synthesis studies provide sufficient topical breadth and depth to support the development of broadly applicable process-based LCMs, as well as the potential to accelerate the production of generalized knowledge through model-driven synthesis. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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- Marquer, Laurent, et al.
(författare)
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Pollen-based reconstruction of Holocene land-cover in mountain regions : Evaluation of the Landscape Reconstruction Algorithm in the Vicdessos valley, northern Pyrenees, France
- 2020
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Ingår i: Quaternary Science Reviews. - : Elsevier. - 0277-3791 .- 1873-457X. ; 228, s. 1-15
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Forskningsöversikt (refereegranskat)abstract
- Long-term perspectives on climate- and human-induced shifts in plant communities and tree line in mountains are often inferred from fossil pollen records. However, various factors, such as complex patterns of orographic wind fields and abundant insect-pollinated plants in higher altitudes, make pollen-based reconstruction in mountain regions difficult. Over the last decade the Landscape Reconstruction Algorithm (LRA) - a model-based approach in reconstruction of vegetation - has been successfully applied in various parts of the globe. However, evaluation of its effectiveness in mountain ranges is still limited. The present study assesses the extent to which the LRA approach helps quantify the local changes in vegetation cover at Vicdessos valley in northern French Pyrenees as a case study. In the study area well-dated sediment cores are available from eight bogs and ponds, 6-113 m in radius, located above the current tree line. We first use a simple simulation experiment to evaluate the way how pollen records from "landscape islands" (mountain tops and plateaus) would represent local vegetation and to clarify important factors affecting the LRA-based reconstruction in a mountainous region. This study then uses pollen records from these sites and vegetation and land-cover data both within a 50-km radius around the Vicdessos valley and within a 2-km radius from each site for evaluation of the REVEALS- and LOVE-based reconstruction of the regional and local plant cover, respectively, in the LRA approach. The land-cover data are complied for coniferous trees, broadleaved trees and non-forested areas from the CORINE and historical maps in three time windows: 1960-1970, 1990-2000 and 2000-2013. Major findings are as follows. (1) Accuracy of the regional vegetation estimates affects the reliability of the LRA-based reconstruction of vegetation within a 2-km radius; use of the CORINE data as input to the LOVE model improves reliability of the results over the use of the REVEALS-based estimates of regional vegetation. This implies that a systematic selection of pollen data only from sites above the tree line is problematic for estimating regional vegetation, and thus the entire LRA process. (2) Selection of the dispersal models for pollen transport (i.e. the Langrangian Stochastic Model vs. Gaussian Plume Model) does not affect significantly the LRA-based estimates at both the regional and local scales in the study area. (3) The LRA approach improves the pollen-based reconstruction of local vegetation compared to pollen percentage alone in northern Pyrenees. Although further empirical and simulation studies are necessary, our results emphasize the importance of site selection for the LRA-based reconstruction of vegetation in mountain regions. (C) 2019 Elsevier Ltd. All rights reserved.
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