The next generation of site-based long-term ecological monitoring: Linking essential biodiversity variables and ecosystem integrity

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Haase, P.; Tonkin, J.D.; Stoll, S.; Burkhard, B.; Frenzel, M. et al.: The next generation of site-based long-term ecological monitoring: Linking essential biodiversity variables and ecosystem integrity. In: Science of the Total Environment 613-614 (2018), S. 1376-1384. DOI: https://doi.org/10.1016/j.scitotenv.2017.08.111

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/2113

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Sum total of downloads: 281




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Abstract: 
Global change effects on biodiversity and human wellbeing call for improved long-term environmental data as a basis for science, policy and decision making, including increased interoperability, multifunctionality, and harmonization. Based on the example of two global initiatives, the International Long-Term Ecological Research (ILTER) network and the Group on Earth Observations Biodiversity Observation Network (GEO BON), we propose merging the frameworks behind these initiatives, namely ecosystem integrity and essential biodiversity variables, to serve as an improved guideline for future site-based long-term research and monitoring in terrestrial, freshwater and coastal ecosystems. We derive a list of specific recommendations of what and how to measure at a monitoring site and call for an integration of sites into co-located site networks across individual monitoring initiatives, and centered on ecosystems. This facilitates the generation of linked comprehensive ecosystem monitoring data, supports synergies in the use of costly infrastructures, fosters cross-initiative research and provides a template for collaboration beyond the ILTER and GEO BON communities.
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2018
Appears in Collections:Naturwissenschaftliche Fakultät

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 117 41.64%
2 image of flag of China China 97 34.52%
3 image of flag of United States United States 29 10.32%
4 image of flag of Russian Federation Russian Federation 5 1.78%
5 image of flag of France France 5 1.78%
6 image of flag of Netherlands Netherlands 4 1.42%
7 image of flag of No geo information available No geo information available 3 1.07%
8 image of flag of Czech Republic Czech Republic 3 1.07%
9 image of flag of Portugal Portugal 2 0.71%
10 image of flag of Switzerland Switzerland 2 0.71%
    other countries 14 4.98%

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