Finding the essential: Improving conservation monitoring across scales

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...

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Main Authors: C.A. Guerra, L. Pendleton, E.G. Drakou, V. Proença, W. Appeltans, T. Domingos, G. Geller, S. Giamberini, M. Gill, H. Hummel, S. Imperio, M. McGeoch, A. Provenzale, I. Serral, A. Stritih, E. Turak, P. Vihervaara, A. Ziemba, H.M. Pereira
Format: Article
Language:English
Published: Elsevier 2019-04-01
Series:Global Ecology and Conservation
Online Access:http://www.sciencedirect.com/science/article/pii/S2351989419300587
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author C.A. Guerra
L. Pendleton
E.G. Drakou
V. Proença
W. Appeltans
T. Domingos
G. Geller
S. Giamberini
M. Gill
H. Hummel
S. Imperio
M. McGeoch
A. Provenzale
I. Serral
A. Stritih
E. Turak
P. Vihervaara
A. Ziemba
H.M. Pereira
author_facet C.A. Guerra
L. Pendleton
E.G. Drakou
V. Proença
W. Appeltans
T. Domingos
G. Geller
S. Giamberini
M. Gill
H. Hummel
S. Imperio
M. McGeoch
A. Provenzale
I. Serral
A. Stritih
E. Turak
P. Vihervaara
A. Ziemba
H.M. Pereira
author_sort C.A. Guerra
collection DOAJ
description 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
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spelling doaj.art-54f130fc78654baabf2967cc826461022022-12-21T22:47:34ZengElsevierGlobal Ecology and Conservation2351-98942019-04-0118Finding the essential: Improving conservation monitoring across scalesC.A. Guerra0L. Pendleton1E.G. Drakou2V. Proença3W. Appeltans4T. Domingos5G. Geller6S. Giamberini7M. Gill8H. Hummel9S. Imperio10M. McGeoch11A. Provenzale12I. Serral13A. Stritih14E. Turak15P. Vihervaara16A. Ziemba17H.M. Pereira18Institute of Biology, Martin Luther University Halle-Wittenberg, Am Kirchtor 1, 06108, Halle (Saale), Germany; German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Deutscher Platz 5e, 04103, Leipzig, Germany; Corresponding author. Institute of Biology, Martin Luther University Halle-Wittenberg, Am Kirchtor 1, 06108, Halle (Saale), Germany.International Chair of Excellence, University of Brest, Ifremer, CNRS, UMR 6308, AMURE, IUEM, 29280, Plouzané, France; Duke Nicholas Institute for Environmental Policy Solutions, USAInternational Chair of Excellence, University of Brest, Ifremer, CNRS, UMR 6308, AMURE, IUEM, 29280, Plouzané, France; Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 6, 7500 AA, Enschede, the NetherlandsMARETEC, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1, 1040-001, Lisboa, PortugalUNESCO Intergovernmental Oceanographic Commission, IOC Project Office for IODE, Wandelaarkaai 7, 8400, Oostende, BelgiumMARETEC, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1, 1040-001, Lisboa, PortugalGroup on Earth Observations, Geneva, Switzerland; NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USAInstitute of Geosciences and Earth Resources, National Research Council, Via Moruzzi 1, 56124, Pisa, ItalyNatureServe, Arlington, Virginia, USARoyal Netherlands Institute for Sea Research, Yerseke and Utrecht University, Yerseke, the NetherlandsInstitute of Geosciences and Earth Resources, National Research Council, Via Moruzzi 1, 56124, Pisa, Italy; Italian Institute for Environmental Protection and Research (ISPRA), via Ca’ Fornacetta 9, 40064 Ozzano Emilia, BO, ItalySchool of Biological Sciences, Monash University, Clayton 3800, Victoria, AustraliaInstitute of Geosciences and Earth Resources, National Research Council, Via Moruzzi 1, 56124, Pisa, ItalyGrumets, CREAF, Cerdanyola del Vallès, Barcelona, SpainPlanning of Landscape and Urban Systems, Swiss Federal Institute of Technology (ETH), Stefano-Franscini-Platz 5, 8093, Zurich, SwitzerlandNSW Office of Environment and Heritage, 10 Valentine Avenue Parramatta, NSW, 2150, Australia; Australian Museum, 6 College Street, Sydney, NSW 2000, AustraliaFinnish Environment Institute, Biodiversity Center, Ecosystem services Unit, Latokartanonkaari 11, FI-00790, Helsinki, FinlandDeltares, Department of Information, Resilience and Planning, Boussinesqweg 1, 2629 HV, Delft, Netherlands; Delft University of Technology, Applied Mathematics, Mekelweg 2, 2628 CD, Delft, NetherlandsInstitute of Biology, Martin Luther University Halle-Wittenberg, Am Kirchtor 1, 06108, Halle (Saale), Germany; German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Deutscher Platz 5e, 04103, Leipzig, Germany; Center for Latin America Studies, Stanford University, Stanford, CA 94305, USATo 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 approachhttp://www.sciencedirect.com/science/article/pii/S2351989419300587
spellingShingle C.A. Guerra
L. Pendleton
E.G. Drakou
V. Proença
W. Appeltans
T. Domingos
G. Geller
S. Giamberini
M. Gill
H. Hummel
S. Imperio
M. McGeoch
A. Provenzale
I. Serral
A. Stritih
E. Turak
P. Vihervaara
A. Ziemba
H.M. Pereira
Finding the essential: Improving conservation monitoring across scales
Global Ecology and Conservation
title Finding the essential: Improving conservation monitoring across scales
title_full Finding the essential: Improving conservation monitoring across scales
title_fullStr Finding the essential: Improving conservation monitoring across scales
title_full_unstemmed Finding the essential: Improving conservation monitoring across scales
title_short Finding the essential: Improving conservation monitoring across scales
title_sort finding the essential improving conservation monitoring across scales
url http://www.sciencedirect.com/science/article/pii/S2351989419300587
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