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Finding the essential: Improving conservation monitoring across scales
- Source :
- Global Ecology and Conservation, Vol 18, Iss, Pp-(2019), Global Ecology and Conservation, 18, Global Ecology and Conservation, 18:e00601. Elsevier, Global Ecology And Conservation (2351-9894) (Elsevier BV), 2019-04, Vol. 18, P. e00601 (7p.), Global Ecology and Conservation, Global Ecology and Conservation, Elsevier, 2019, 18, pp.e00601. ⟨10.1016/j.gecco.2019.e00601⟩, Global Ecology and Conservation, 2019, 18, pp.e00601. ⟨10.1016/j.gecco.2019.e00601⟩, Global Ecology and Conservation 18 (2019). doi:10.1016/j.gecco.2019.e00601, info:cnr-pdr/source/autori:Guerra C.A.[1,2], Pendleton L.[3,4], Drakou E.G.[3,5], Proença V.[6], Appeltans W.[7], Domingos T.[6], Geller G.[8,9], Giamberini S.[10], Gill M.[11], Hummel H.[12], Imperio S.[10,21], McGeoch M.[12], Provenzale A.[10], Serral I.[14], Stritih A.[15], Turak E.[15,16], Vihervaara P.[18], Ziemba A.[19,20], Pereira H.M.[1,2,22]/titolo:Finding the essential: Improving conservation monitoring across scales/doi:10.1016%2Fj.gecco.2019.e00601/rivista:Global Ecology and Conservation/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:18
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- To account for progress towards conservation targets, monitoring systems should capture not only information on biodiversity but also knowledge on the dynamics of ecological processes and the related effects on human well-being. Protected areas represent complex social-ecological systems with strong human-nature interactions. They are able to provide relevant information about how global and local scale drivers (e.g., climate change, land use change) impact biodiversity and ecosystem services. Here we develop a framework that uses an ecosystem-focused approach to support managers in identifying essential variables in an integrated and scalable approach. We advocate that this approach can complement current essential variable developments, by allowing conservation managers to draw on system-level knowledge and theory of biodiversity and ecosystems to identify locally important variables that meet the local or sub-global needs for conservation data. This requires the development of system narratives and causal diagrams that pinpoints the social-ecological variables that represent the state and drivers of the different components, and their relationships. We describe a scalable framework that builds on system based narratives to describe all system components, the models used to represent them and the data needed. Considering the global distribution of protected areas, with an investment in standards, transparency, and on active data mobilisation strategies for essential variables, these have the potential to be the backbone of global biodiversity monitoring, benefiting countries, biodiversity observation networks and the global biodiversity community. Keywords: Essential variables, Global monitoring, Biodiversity, Ecosystem services, Systems approach
- Subjects :
- 0106 biological sciences
systeemikatsaus
Computer science
essential variables
global monitoring
biodiversity
ecosystem services
systems approach
Biodiversity
Climate change
monitorointi
010603 evolutionary biology
01 natural sciences
Ecosystem services
lcsh:QH540-549.5
systemaattinen katsaus
Land use, land-use change and forestry
seuranta
suojelu
Ecology, Evolution, Behavior and Systematics
Essential variables
Nature and Landscape Conservation
Ecology
business.industry
010604 marine biology & hydrobiology
Environmental resource management
15. Life on land
Global monitoring
biodiversiteetti
Systems approach
Variable (computer science)
ekosysteemipalvelut
13. Climate action
ITC-ISI-JOURNAL-ARTICLE
Transparency (graphic)
[SDE]Environmental Sciences
Scalability
lcsh:Ecology
luonnonsuojelu
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
ITC-GOLD
business
Global biodiversity
Subjects
Details
- ISSN :
- 23519894
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- Global Ecology and Conservation
- Accession number :
- edsair.doi.dedup.....11e54b4af495e8ff114cc1cd0d22dce0