Harnessing big data to support the conservation and rehabilitation of mangrove forests globally

Worthington, Thomas A., Andradi-Brown, Dominic A., Bhargava, Radhika, Buelow, Christina, Bunting, Pete, Duncan, Clare, Fatoyinbo, Lola, Friess, Daniel A., Goldberg, Liza, Hilarides, Lammert, Lagomasino, David, Landis, Emily, Longley-Wood, Kate, Lovelock, Catherine E., Murray, Nicholas J., Narayan, Siddharth, Rosenqvist, Ake, Sievers, Michael, Simard, Marc, Thomas, Nathan, van Eijk, Pieter, Zganjar, Chris, and Spalding, Mark D. (2020) Harnessing big data to support the conservation and rehabilitation of mangrove forests globally. One Earth, 2 (5). pp. 429-443.

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Abstract

Mangrove forests are found on sheltered coastlines in tropical, subtropical, and some warm temperate regions. These forests support unique biodiversity and provide a range of benefits to coastal communities, but as a result of large-scale conversion for aquaculture, agriculture, and urbanization, mangroves are considered increasingly threatened ecosystems. Scientific advances have led to accurate and comprehensive global datasets on mangrove extent, structure, and condition, and these can support evaluation of ecosystem services and stimulate greater conservation and rehabilitation efforts. To increase the utility and uptake of these products, in this Perspective we provide an overview of these recent and forthcoming global datasets and explore the challenges of translating these new analyses into policy action and on-the-ground conservation. We describe a new platform for visualizing and disseminating these datasets to the global science community, non-governmental organizations, government officials, and rehabilitation practitioners and highlight future directions and collaborations to increase the uptake and impact of large-scale mangrove research. This Perspective reviews the role of global-scale research in stimulating policy action and on-the-ground conservation for mangrove ecosystems. We outline the current state of knowledge in terms of global analyses and examine the challenge of translating this research in action.

Item ID: 65283
Item Type: Article (Research - C1)
ISSN: 2590-3322
Keywords: conservation, ecosystem services, mangrove, policy action, rehabilitation, remote sensing
Copyright Information: © 2020 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Funders: National Aeronautics and Space Administration (NASA)
Projects and Grants: NASA Carbon Monitoring System Program Project 16-CMS16-0073, NASA Terrestrial Ecology Program, NASA New Investigator Program (NNX16AK79G), NASA Applied Sciences Program
Date Deposited: 22 Dec 2020 02:43
FoR Codes: 41 ENVIRONMENTAL SCIENCES > 4104 Environmental management > 410401 Conservation and biodiversity @ 25%
41 ENVIRONMENTAL SCIENCES > 4104 Environmental management > 410404 Environmental management @ 25%
46 INFORMATION AND COMPUTING SCIENCES > 4609 Information systems > 460911 Inter-organisational, extra-organisational and global information systems @ 50%
SEO Codes: 96 ENVIRONMENT > 9605 Ecosystem Assessment and Management > 960501 Ecosystem Assessment and Management at Regional or Larger Scales @ 100%
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