Remote sensing applications for managing a large-scale restoration dynamics project throughout the City of Gold Coast conservation estate
The City of Gold Coast established a program to restore native forests throughout the conservation estate (∼13,789 ha) utilizing constructed (CNR), assisted (ANR), and unassisted natural regeneration (UNR). Each year the city maintains over 4000 Ha of restoration works. The program is supported by a...
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Elsevier
2025-03-01
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| Series: | Science Talks |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772569325000118 |
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| author | Jean-Marc Hero Luke Shoo Michael Duncan Darren Roche Jesse Kenny Howard Taylor Tim Robson Sanjeev Kumar Srivastava Josh Veitch-Michaelis |
| author_facet | Jean-Marc Hero Luke Shoo Michael Duncan Darren Roche Jesse Kenny Howard Taylor Tim Robson Sanjeev Kumar Srivastava Josh Veitch-Michaelis |
| author_sort | Jean-Marc Hero |
| collection | DOAJ |
| description | The City of Gold Coast established a program to restore native forests throughout the conservation estate (∼13,789 ha) utilizing constructed (CNR), assisted (ANR), and unassisted natural regeneration (UNR). Each year the city maintains over 4000 Ha of restoration works. The program is supported by an environmental decision support tool (oRestore) for the smart allocation of restoration funds over space and time (see [1] for details). We introduce the Restoration Dynamics Project, a quantitative evidence-based evaluation of the success of restoration actions undertaken between 2005 and 2022. Based on 17 restoration work areas (historically pasture dominated by exotic grasses, and open eucalypt forest vegetation (preclearing Regional Ecosystem 12.11.3), we compared optical and LiDAR vegetation metrics with field BioCondition assessments. UNR is suppressed by the presence of weed species that dominate cleared areas, resulting in low BioCondition. Unassisted, weeds can persist for decades, and intervention (ANR) is required for the recovery of native vegetation. CNR (tree-planting) provides canopy cover, however, lacks species diversity in the shrub layer. Assisted NR (controlling invasive species) is optimal for maximizing biodiversity in open eucalypt forests. LiDAR analytics can be a surrogate for BioCondition however field surveys are needed to determine non-native plant cover. |
| format | Article |
| id | doaj-art-97d0c6d815fc409eb78f443dc6b6f599 |
| institution | Kabale University |
| issn | 2772-5693 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Science Talks |
| spelling | doaj-art-97d0c6d815fc409eb78f443dc6b6f5992025-02-09T05:01:43ZengElsevierScience Talks2772-56932025-03-0113100429Remote sensing applications for managing a large-scale restoration dynamics project throughout the City of Gold Coast conservation estateJean-Marc Hero0Luke Shoo1Michael Duncan2Darren Roche3Jesse Kenny4Howard Taylor5Tim Robson6Sanjeev Kumar Srivastava7Josh Veitch-Michaelis8Council of City of Gold Coast, Gold Coast, Australia; University of the Sunshine Coast, Maroochydore, Australia; Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, University of Kent, Canterbury, UK; Corresponding author at: Council of City of Gold Coast, Gold Coast, Australia.Council of City of Gold Coast, Gold Coast, AustraliaCouncil of City of Gold Coast, Gold Coast, AustraliaCouncil of City of Gold Coast, Gold Coast, AustraliaCouncil of City of Gold Coast, Gold Coast, Australia; La Trobe Climate Change Adaptation Lab, School of Humanities & Social Sciences, La Trobe University, Bundoora, Australia; School of Global, Urban and Social Studies, RMIT University, Melbourne, AustraliaCouncil of City of Gold Coast, Gold Coast, AustraliaCouncil of City of Gold Coast, Gold Coast, AustraliaUniversity of the Sunshine Coast, Maroochydore, AustraliaSwiss Federal Institute of Technology, Zürich, Switzerland; Restor, Zürich, SwitzerlandThe City of Gold Coast established a program to restore native forests throughout the conservation estate (∼13,789 ha) utilizing constructed (CNR), assisted (ANR), and unassisted natural regeneration (UNR). Each year the city maintains over 4000 Ha of restoration works. The program is supported by an environmental decision support tool (oRestore) for the smart allocation of restoration funds over space and time (see [1] for details). We introduce the Restoration Dynamics Project, a quantitative evidence-based evaluation of the success of restoration actions undertaken between 2005 and 2022. Based on 17 restoration work areas (historically pasture dominated by exotic grasses, and open eucalypt forest vegetation (preclearing Regional Ecosystem 12.11.3), we compared optical and LiDAR vegetation metrics with field BioCondition assessments. UNR is suppressed by the presence of weed species that dominate cleared areas, resulting in low BioCondition. Unassisted, weeds can persist for decades, and intervention (ANR) is required for the recovery of native vegetation. CNR (tree-planting) provides canopy cover, however, lacks species diversity in the shrub layer. Assisted NR (controlling invasive species) is optimal for maximizing biodiversity in open eucalypt forests. LiDAR analytics can be a surrogate for BioCondition however field surveys are needed to determine non-native plant cover.http://www.sciencedirect.com/science/article/pii/S2772569325000118RestorationBioConditionVegetationRemote sensingRegenerationMachine learning |
| spellingShingle | Jean-Marc Hero Luke Shoo Michael Duncan Darren Roche Jesse Kenny Howard Taylor Tim Robson Sanjeev Kumar Srivastava Josh Veitch-Michaelis Remote sensing applications for managing a large-scale restoration dynamics project throughout the City of Gold Coast conservation estate Science Talks Restoration BioCondition Vegetation Remote sensing Regeneration Machine learning |
| title | Remote sensing applications for managing a large-scale restoration dynamics project throughout the City of Gold Coast conservation estate |
| title_full | Remote sensing applications for managing a large-scale restoration dynamics project throughout the City of Gold Coast conservation estate |
| title_fullStr | Remote sensing applications for managing a large-scale restoration dynamics project throughout the City of Gold Coast conservation estate |
| title_full_unstemmed | Remote sensing applications for managing a large-scale restoration dynamics project throughout the City of Gold Coast conservation estate |
| title_short | Remote sensing applications for managing a large-scale restoration dynamics project throughout the City of Gold Coast conservation estate |
| title_sort | remote sensing applications for managing a large scale restoration dynamics project throughout the city of gold coast conservation estate |
| topic | Restoration BioCondition Vegetation Remote sensing Regeneration Machine learning |
| url | http://www.sciencedirect.com/science/article/pii/S2772569325000118 |
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