Evidence-based alignment of conservation policies with remote sensing-enabled essential biodiversity variables

Nature conservation policies require up-to-date and accurate biodiversity monitoring. Innovative synoptic information products such as Remote Sensing-enabled Essential Biodiversity Variables (RS-enabled EBVs) could complement field observations in biodiversity monitoring. It is not clear however, ho...

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Autores principales:	M.C. Lock, A.K. Skidmore, I. van Duren, C.A. Mücher
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Essential biodiversity variables Remote sensing Conservation policies Ecological indicators Biodiversity monitoring Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/c3e9d52fff0646a4ba1e0532d4373324
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spelling	oai:doaj.org-article:c3e9d52fff0646a4ba1e0532d43733242021-12-01T05:01:44ZEvidence-based alignment of conservation policies with remote sensing-enabled essential biodiversity variables1470-160X10.1016/j.ecolind.2021.108272https://doaj.org/article/c3e9d52fff0646a4ba1e0532d43733242021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21009377https://doaj.org/toc/1470-160XNature conservation policies require up-to-date and accurate biodiversity monitoring. Innovative synoptic information products such as Remote Sensing-enabled Essential Biodiversity Variables (RS-enabled EBVs) could complement field observations in biodiversity monitoring. It is not clear however, how these scientific remote sensing products can be utilized for policy reporting. Agreement on the monitored geographic extent (area size and scale), as well as biodiversity attributes (composition, structure, and function), may provide a common'point of departure' for policymakers and the scientific community to develop and further improve monitoring. In this study, biodiversity indicators of 10 nature conservation policies and 50 RS-enabled EBVs were compared using non-parametric tests (chi-square and Mann-Whitney U). Our main finding is that policy indicators and RS-enabled EBVs are very similar in the spatial extent they address (mapping scale). However, most policy indicators are related to ecosystem structure while most of the RS-enabled EBVs are related to ecosystem function and ecosystem structure. RS-enabled EBVs have added value in monitoring of biodiversity, especially when looking at ecosystem functioning. Information on ecosystem functioning and structure provides evidence needed as input for policy development and management of biodiversity. However, to make this happen, a stronger focus on ecosystem functioning and structure with appropriate variables is needed, in policy requirements and targets.M.C. LockA.K. SkidmoreI. van DurenC.A. MücherElsevierarticleEssential biodiversity variablesRemote sensingConservation policiesEcological indicatorsBiodiversity monitoringEcologyQH540-549.5ENEcological Indicators, Vol 132, Iss , Pp 108272- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Essential biodiversity variables Remote sensing Conservation policies Ecological indicators Biodiversity monitoring Ecology QH540-549.5
spellingShingle	Essential biodiversity variables Remote sensing Conservation policies Ecological indicators Biodiversity monitoring Ecology QH540-549.5 M.C. Lock A.K. Skidmore I. van Duren C.A. Mücher Evidence-based alignment of conservation policies with remote sensing-enabled essential biodiversity variables
description	Nature conservation policies require up-to-date and accurate biodiversity monitoring. Innovative synoptic information products such as Remote Sensing-enabled Essential Biodiversity Variables (RS-enabled EBVs) could complement field observations in biodiversity monitoring. It is not clear however, how these scientific remote sensing products can be utilized for policy reporting. Agreement on the monitored geographic extent (area size and scale), as well as biodiversity attributes (composition, structure, and function), may provide a common'point of departure' for policymakers and the scientific community to develop and further improve monitoring. In this study, biodiversity indicators of 10 nature conservation policies and 50 RS-enabled EBVs were compared using non-parametric tests (chi-square and Mann-Whitney U). Our main finding is that policy indicators and RS-enabled EBVs are very similar in the spatial extent they address (mapping scale). However, most policy indicators are related to ecosystem structure while most of the RS-enabled EBVs are related to ecosystem function and ecosystem structure. RS-enabled EBVs have added value in monitoring of biodiversity, especially when looking at ecosystem functioning. Information on ecosystem functioning and structure provides evidence needed as input for policy development and management of biodiversity. However, to make this happen, a stronger focus on ecosystem functioning and structure with appropriate variables is needed, in policy requirements and targets.
format	article
author	M.C. Lock A.K. Skidmore I. van Duren C.A. Mücher
author_facet	M.C. Lock A.K. Skidmore I. van Duren C.A. Mücher
author_sort	M.C. Lock
title	Evidence-based alignment of conservation policies with remote sensing-enabled essential biodiversity variables
title_short	Evidence-based alignment of conservation policies with remote sensing-enabled essential biodiversity variables
title_full	Evidence-based alignment of conservation policies with remote sensing-enabled essential biodiversity variables
title_fullStr	Evidence-based alignment of conservation policies with remote sensing-enabled essential biodiversity variables
title_full_unstemmed	Evidence-based alignment of conservation policies with remote sensing-enabled essential biodiversity variables
title_sort	evidence-based alignment of conservation policies with remote sensing-enabled essential biodiversity variables
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/c3e9d52fff0646a4ba1e0532d4373324
work_keys_str_mv	AT mclock evidencebasedalignmentofconservationpolicieswithremotesensingenabledessentialbiodiversityvariables AT akskidmore evidencebasedalignmentofconservationpolicieswithremotesensingenabledessentialbiodiversityvariables AT ivanduren evidencebasedalignmentofconservationpolicieswithremotesensingenabledessentialbiodiversityvariables AT camucher evidencebasedalignmentofconservationpolicieswithremotesensingenabledessentialbiodiversityvariables
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Evidence-based alignment of conservation policies with remote sensing-enabled essential biodiversity variables

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