The potential for automating assisted natural regeneration of tropical forest ecosystems

© 2016 The Association for Tropical Biology and Conservation Assisted (or accelerated) natural regeneration (ANR) will play an important role in meeting the UN target to restore forest to 350 million hectares of degraded land, by 2030. However, since most accessible land is already used for agricult...

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Main Author: Elliott S.
Format: Journal
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84995878884&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/41352
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-413522017-09-28T04:20:51Z The potential for automating assisted natural regeneration of tropical forest ecosystems Elliott S. © 2016 The Association for Tropical Biology and Conservation Assisted (or accelerated) natural regeneration (ANR) will play an important role in meeting the UN target to restore forest to 350 million hectares of degraded land, by 2030. However, since most accessible land is already used for agriculture, most of the sites, available for ANR, are far from roads and/or on difficult terrain, where implementing ANR with human labour is not practical. Therefore, this paper explores the potential of emerging technologies, such as low-cost UAVs (drones) and new imaging devices, to automate ANR tasks, including site monitoring (to assess site potential for natural regeneration, plan interventions and assess progress), maintenance of natural regeneration (particularly weeding) and species enrichment through aerial seeding. The usefulness of existing technologies is reviewed and future innovations needed, to provide practicable support for ANR, are discussed. Intensive collaboration, among technologists and forest ecologists, will be essential to ensure that technological innovations are based firmly on sound restoration science. 2017-09-28T04:20:51Z 2017-09-28T04:20:51Z 2016-11-01 Journal 00063606 2-s2.0-84995878884 10.1111/btp.12387 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84995878884&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/41352
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description © 2016 The Association for Tropical Biology and Conservation Assisted (or accelerated) natural regeneration (ANR) will play an important role in meeting the UN target to restore forest to 350 million hectares of degraded land, by 2030. However, since most accessible land is already used for agriculture, most of the sites, available for ANR, are far from roads and/or on difficult terrain, where implementing ANR with human labour is not practical. Therefore, this paper explores the potential of emerging technologies, such as low-cost UAVs (drones) and new imaging devices, to automate ANR tasks, including site monitoring (to assess site potential for natural regeneration, plan interventions and assess progress), maintenance of natural regeneration (particularly weeding) and species enrichment through aerial seeding. The usefulness of existing technologies is reviewed and future innovations needed, to provide practicable support for ANR, are discussed. Intensive collaboration, among technologists and forest ecologists, will be essential to ensure that technological innovations are based firmly on sound restoration science.
format Journal
author Elliott S.
spellingShingle Elliott S.
The potential for automating assisted natural regeneration of tropical forest ecosystems
author_facet Elliott S.
author_sort Elliott S.
title The potential for automating assisted natural regeneration of tropical forest ecosystems
title_short The potential for automating assisted natural regeneration of tropical forest ecosystems
title_full The potential for automating assisted natural regeneration of tropical forest ecosystems
title_fullStr The potential for automating assisted natural regeneration of tropical forest ecosystems
title_full_unstemmed The potential for automating assisted natural regeneration of tropical forest ecosystems
title_sort potential for automating assisted natural regeneration of tropical forest ecosystems
publishDate 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84995878884&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/41352
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