Author
Listed:
- Shogoro Fujiki
(Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan)
- Ryota Aoyagi
(Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan)
- Atsushi Tanaka
(Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan
Japan Forest Technology Association, Tokyo, Japan)
- Nobuo Imai
(Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan
Primate Research Institute, Kyoto University, Aichi, Japan)
- Arif Data Kusma
(WWF Indonesia, Kutai Barat, Kalimantan Timur, Indonesia)
- Yuyun Kurniawan
(WWF Indonesia, Ujung Kulon, Banten, Indonesia)
- Ying Fah Lee
(Forest Research Centre, Sabah Forestry Department, 90715 Sandakan, Sabah, Malaysia)
- John Baptist Sugau
(Forest Research Centre, Sabah Forestry Department, 90715 Sandakan, Sabah, Malaysia)
- Joan T. Pereira
(Forest Research Centre, Sabah Forestry Department, 90715 Sandakan, Sabah, Malaysia)
- Hiromitsu Samejima
(Institute for Global Environmental Strategies, Kanagawa, Japan)
- Kanehiro Kitayama
(Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan)
Abstract
Assessment of the progress of the Aichi Biodiversity Targets set by the Convention on Biological Diversity (CBD) and the safeguarding of ecosystems from the perverse negative impacts caused by Reducing Emissions from Deforestation and Forest Degradation Plus (REDD+) requires the development of spatiotemporally robust and sensitive indicators of biodiversity and ecosystem health. Recently, it has been proposed that tree-community composition based on count-plot surveys could serve as a robust, sensitive, and cost-effective indicator for forest intactness in Bornean logged-over rain forests. In this study, we developed an algorithm to map tree-community composition across the entire landscape based on Landsat imagery. We targeted six forest management units (FMUs), each of which ranged from 50,000 to 100,000 ha in area, covering a broad geographic range spanning the most area of Borneo. Approximately fifty 20 m-radius circular plots were established in each FMU, and the differences in tree-community composition at a genus level among plots were examined for trees with diameter at breast height ≥10 cm using an ordination with non-metric multidimensional scaling (nMDS). Subsequently, we developed a linear regression model based on Landsat metrics (e.g., reflectance value, vegetation indices and textures) to explain the nMDS axis-1 scores of the plots, and extrapolated the model to the landscape to establish a tree-community composition map in each FMU. The adjusted R 2 values based on a cross-validation approach between the predicted and observed nMDS axis-1 scores indicated a close correlation, ranging from 0.54 to 0.69. Histograms of the frequency distributions of extrapolated nMDS axis-1 scores were derived from each map and used to quantitatively diagnose the forest intactness of the FMUs. Our study indicated that tree-community composition, which was reported as a robust indicator of forest intactness, could be mapped at a landscape level to quantitatively assess the spatial patterns of intactness in Bornean rain forests. Our approach can be used for large-scale assessments of tree diversity and forest intactness to monitor both the progress of Aichi Biodiversity Targets and the effectiveness of REDD+ biodiversity safeguards in production forests in the tropics.
Suggested Citation
Shogoro Fujiki & Ryota Aoyagi & Atsushi Tanaka & Nobuo Imai & Arif Data Kusma & Yuyun Kurniawan & Ying Fah Lee & John Baptist Sugau & Joan T. Pereira & Hiromitsu Samejima & Kanehiro Kitayama, 2016.
"Large-Scale Mapping of Tree-Community Composition as a Surrogate of Forest Degradation in Bornean Tropical Rain Forests,"
Land, MDPI, vol. 5(4), pages 1-16, December.
Handle:
RePEc:gam:jlands:v:5:y:2016:i:4:p:45-:d:84940
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Citations
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Cited by:
- Mariane S. Reis & Maria Isabel S. Escada & Luciano V. Dutra & Sidnei J. S. Sant’Anna & Nathan D. Vogt, 2018.
"Towards a Reproducible LULC Hierarchical Class Legend for Use in the Southwest of Pará State, Brazil: A Comparison with Remote Sensing Data-Driven Hierarchies,"
Land, MDPI, vol. 7(2), pages 1-29, May.
- Pamela Durán-Díaz, 2023.
"Sustainable Land Governance for Water–Energy–Food Systems: A Framework for Rural and Peri-Urban Revitalisation,"
Land, MDPI, vol. 12(10), pages 1-31, September.
- Jeffrey Sayer & Chris Margules, 2017.
"Biodiversity in Locally Managed Lands,"
Land, MDPI, vol. 6(2), pages 1-5, June.
- Kanehiro Kitayama & Shogoro Fujiki & Ryota Aoyagi & Nobuo Imai & John Sugau & Jupiri Titin & Reuben Nilus & Peter Lagan & Yoshimi Sawada & Robert Ong & Frederick Kugan & Sam Mannan, 2018.
"Biodiversity Observation for Land and Ecosystem Health (BOLEH): A Robust Method to Evaluate the Management Impacts on the Bundle of Carbon and Biodiversity Ecosystem Services in Tropical Production Fo,"
Sustainability, MDPI, vol. 10(11), pages 1-15, November.
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