Integrated climate sensitive restoration framework for transformative changes to sustainable land restoration
Dhyani, Shalini ORCID: https://orcid.org/0000-0002-0915-5733, Bartlett, Deborah ORCID: https://orcid.org/0000-0002-5125-6466, Kadaverugu, Rakesh, Dasgupta, Rajarshi, Pujari, Paras and Verma, Parikshit (2020) Integrated climate sensitive restoration framework for transformative changes to sustainable land restoration. Restoration Ecology, 28 (5). pp. 1026-1031. ISSN 1061-2971 (Print), 1526-100X (Online) (doi:10.1111/rec.13230)
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Abstract
Sustainable land restoration is the key to restore degraded land, halt biodiversity loss and reinstate ecosystem services for human well‐being. Restoration needs to be planned and conducted with due recognition to growing climate uncertainty with an evolved understanding about the future restoration targets. Present opinion article attempts to provide an overview on Integrated Climate Sensitive Restoration Framework that recognizes the local participation in mapping degraded lands, identification of species for supporting species modelling to better understand climate uncertainty. Involvement of citizen science based restoration monitoring tools can contribute to big data analytics for ecological monitoring and policy support. The Framework potentially helps in sustainable land restoration by transformative changes for achieving UN decade on Ecosystems Restoration (2021–2030), SDGs 15 and addressing the post 2020 Global Biodiversity Framework. However, to realize the success, climate finance mechanisms to drive restoration should be seriously considered for reducing bias and enhancing opportunities of equitable sharing in the era of corruption, authoritarianism and regulatory capture.
Item Type: | Article |
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Uncontrolled Keywords: | Citizen Science, Climate finance, Climate uncertainty, Ecological Monitoring, Local participation, Sustainable land restoration, Transformative changes |
Subjects: | Q Science > QC Physics Q Science > QD Chemistry |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > School of Science (SCI) |
Last Modified: | 26 Jun 2021 01:38 |
URI: | http://gala.gre.ac.uk/id/eprint/28677 |
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