2015
DOI: 10.1007/s13157-015-0722-7
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Greenhouse Gas Emission and Balance of Marshes at the Southern North Sea Coast

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Cited by 11 publications
(7 citation statements)
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“…This scenario increased especially regulation and maintenance ecosystem services (Table 2). Nevertheless, it may not promote a carbon-optimized land management because reeds are net sources of CO 2 equivalents mainly caused by high CH 4 emissions [53].…”
Section: Collaborative Landscape Planningmentioning
confidence: 99%
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“…This scenario increased especially regulation and maintenance ecosystem services (Table 2). Nevertheless, it may not promote a carbon-optimized land management because reeds are net sources of CO 2 equivalents mainly caused by high CH 4 emissions [53].…”
Section: Collaborative Landscape Planningmentioning
confidence: 99%
“…Keeping the experts motivated is an important issue, and this is not a gradual process. To keep the expert´s motivation to participate on a high level, the researchers had to constantly give feedback, consider each interest in an equitable manner [34], and provide intermediate research results of scientific investigations in the area (e.g., in [47,53,58,59]). Additionally, the knowledge-brokers had to retain a non-interventionist attitude to allow the experts to take their own decisions autonomously [60].…”
Section: The Co-design Processmentioning
confidence: 99%
“…Additional trade-offs arise from spatial mismatches. For instance, the increase of water retention areas and associated reed stands that enable carbon sequestration (Witte and Giani 2016) or an increase in extensively used wetlands promoting biodiversity will lead to a spatial decrease of arable land with food and forage production. In contrast to the studies carried out by Raudsepp-Hearne et al (2010) and van der Biest et al (2014), our investigation does not clearly show actual spatial trade-offs between provisioning (food, forage, energy, and water supply) and regulating (hazard and climate regulation) services.…”
Section: Cognitive Archetypesmentioning
confidence: 99%
“…Soil and plant parameter values were either taken from the literature -including those suggested in the SWAP manual (Kroes et al, 2008) -, modeled by pedotransfer functions (PTFs), or directly or indirectly measured. Data of geodetic height, grain size distribution, soil organic matter, soil layer thickness, and bulk density were available from measurements for previous studies (Witte and Giani, 2016). Since SWAP was originally set up and tested in the Netherlands (Kroes et al, 2000) with similar environmental conditions to our study area, we adopted default parameter values where we had no additional information.…”
Section: Input Data and Model Parametersmentioning
confidence: 99%