Deciphering the fingerprint of disturbance on the three‐dimensional structure of the world’s forests
Summary Canopy gaps and the processes that generate them play an integral role in shaping the structure and dynamics of forests. However, it is only with recent advances in remote sensing technologies such as airborne laser scanning that studying canopy gaps at scale has become a reality. Consequent...
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Veröffentlicht in: | The New phytologist 2022-01, Vol.233 (2), p.612-617 |
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Canopy gaps and the processes that generate them play an integral role in shaping the structure and dynamics of forests. However, it is only with recent advances in remote sensing technologies such as airborne laser scanning that studying canopy gaps at scale has become a reality. Consequently, we still lack an understanding of how the size distribution and spatial organization of canopy gaps varies among forests ecosystems, nor have we determined whether these emergent properties can be reconciled with existing theories of forest dynamics. Here, I outline a roadmap for integrating remote sensing with field data and individual‐based models to build a comprehensive picture of how environmental constraints and disturbance regimes shape the three‐dimensional structure of the world’s forests. |
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Canopy gaps and the processes that generate them play an integral role in shaping the structure and dynamics of forests. However, it is only with recent advances in remote sensing technologies such as airborne laser scanning that studying canopy gaps at scale has become a reality. Consequently, we still lack an understanding of how the size distribution and spatial organization of canopy gaps varies among forests ecosystems, nor have we determined whether these emergent properties can be reconciled with existing theories of forest dynamics. Here, I outline a roadmap for integrating remote sensing with field data and individual‐based models to build a comprehensive picture of how environmental constraints and disturbance regimes shape the three‐dimensional structure of the world’s forests.</description><identifier>ISSN: 0028-646X</identifier><identifier>EISSN: 1469-8137</identifier><identifier>DOI: 10.1111/nph.17729</identifier><identifier>PMID: 34506641</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>airborne laser scanning ; Airborne lasers ; Airborne sensing ; Canopies ; Canopy ; Canopy gaps ; Disturbance ; Dynamics ; Ecosystem ; forest dynamics ; Forest ecosystems ; Forests ; gap size frequency distributions ; Herbivores ; individual‐based forest models ; Lasers ; LiDAR ; Plant cover ; point pattern analysis ; Remote sensing ; Remote Sensing Technology ; Size distribution ; Strategic planning ; Trees ; Tropical Climate</subject><ispartof>The New phytologist, 2022-01, Vol.233 (2), p.612-617</ispartof><rights>2021 The Author. New Phytologist © 2021 New Phytologist Foundation</rights><rights>2021 The Author. New Phytologist © 2021 New Phytologist Foundation.</rights><rights>2021. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3889-cfb55a5a3b8cff8bad622606231bd91e10493bedde275d0e56e88ada0aae4b293</citedby><cites>FETCH-LOGICAL-c3889-cfb55a5a3b8cff8bad622606231bd91e10493bedde275d0e56e88ada0aae4b293</cites><orcidid>0000-0002-0751-6312</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fnph.17729$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fnph.17729$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,1411,1427,27903,27904,45553,45554,46388,46812</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34506641$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jucker, Tommaso</creatorcontrib><title>Deciphering the fingerprint of disturbance on the three‐dimensional structure of the world’s forests</title><title>The New phytologist</title><addtitle>New Phytol</addtitle><description>Summary
Canopy gaps and the processes that generate them play an integral role in shaping the structure and dynamics of forests. However, it is only with recent advances in remote sensing technologies such as airborne laser scanning that studying canopy gaps at scale has become a reality. Consequently, we still lack an understanding of how the size distribution and spatial organization of canopy gaps varies among forests ecosystems, nor have we determined whether these emergent properties can be reconciled with existing theories of forest dynamics. 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Canopy gaps and the processes that generate them play an integral role in shaping the structure and dynamics of forests. However, it is only with recent advances in remote sensing technologies such as airborne laser scanning that studying canopy gaps at scale has become a reality. Consequently, we still lack an understanding of how the size distribution and spatial organization of canopy gaps varies among forests ecosystems, nor have we determined whether these emergent properties can be reconciled with existing theories of forest dynamics. Here, I outline a roadmap for integrating remote sensing with field data and individual‐based models to build a comprehensive picture of how environmental constraints and disturbance regimes shape the three‐dimensional structure of the world’s forests.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>34506641</pmid><doi>10.1111/nph.17729</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-0751-6312</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | airborne laser scanning Airborne lasers Airborne sensing Canopies Canopy Canopy gaps Disturbance Dynamics Ecosystem forest dynamics Forest ecosystems Forests gap size frequency distributions Herbivores individual‐based forest models Lasers LiDAR Plant cover point pattern analysis Remote sensing Remote Sensing Technology Size distribution Strategic planning Trees Tropical Climate |
title | Deciphering the fingerprint of disturbance on the three‐dimensional structure of the world’s forests |
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