PR 00035: verschil tussen versies
Geen bewerkingssamenvatting |
Geen bewerkingssamenvatting |
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| Regel 12: | Regel 12: | ||
'''Client:''' João (J.N. Salvador de Paiva) | '''Client:''' João (J.N. Salvador de Paiva) | ||
{{Project config}} | {{Project config}} | ||
{{Project | {{Project | ||
| Regel 24: | Regel 23: | ||
Research type: field research, desk analysis | Research type: field research, desk analysis | ||
Research level: | Research level: minor, internship or graduation bachelor thesis project. | ||
Prerequisite: Driver’s License, interest in ecology, morphology and GIS. | Prerequisite: Driver’s License, interest in ecology, morphology and GIS. | ||
Versie van 13 mei 2019 13:09
The Dutch waters, including the delta areas, are almost two thirds of the Natura 2000 areas. These are important resting and foraging areas for migratory birds. And, also, represent important breeding habitats for coastal birds. For an effective management of these areas the monitoring, including estuarine dynamics, in the delta management cycle is of great importance. These monitoring activities also offer the opportunity to adjust system designs and / or system interventions (in time) for local managers.
Project monitoring uses conventional measuring techniques that are often labor-intensive and therefore costly. The aim of this project is to investigate whether monitoring nature conservation projects can be more efficient. The key question is whether by using new measurement techniques more or different types of data can be collected at lower costs, over larger areas and with better temporal resolutions. Getting at the same time a more effective monitoring and, more importantly, a better system understanding.
Research type: field research, desk analysis
Research level: project level, e.g. Water management students and/or Civil engineering students; minor, internship or graduation bachelor thesis project.
Prerequisite: e.g. Driver’s License, interest in ecology, morphology and GIS. MATlab or Python is a plus
Partners: NIOZ, WMR
Client: João (J.N. Salvador de Paiva)