Comparison of Canopy Clumping Index Measuring Methods and Analysis of Their Impact
The clumping index (CI) is a commonly used vegetation dispersion parameter used to characterize the spatial distribution of the clumping or random distribution of leaves in canopy environments, as well as to determine the radiation transfer of the canopy, the photosynthesis of the foliage, and hydro...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/2/471 |
| _version_ | 1797437464106762240 |
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| author | Zhiguo Liang Ying Yu Xiguang Yang Wenyi Fan |
| author_facet | Zhiguo Liang Ying Yu Xiguang Yang Wenyi Fan |
| author_sort | Zhiguo Liang |
| collection | DOAJ |
| description | The clumping index (CI) is a commonly used vegetation dispersion parameter used to characterize the spatial distribution of the clumping or random distribution of leaves in canopy environments, as well as to determine the radiation transfer of the canopy, the photosynthesis of the foliage, and hydrological processes. However, the method of CI estimation using the measurement instrument produces uncertain values in various forest types. Therefore, it is necessary to clarify the differences in CI estimation methods using field measurements with various segment lengths in different forest types. In this study, three 100 m × 100 m plots were set, and the CI and leaf area index (LAI) values were measured. The CI estimation results were compared. The results show that the accuracy of CI estimation was affected by different forest types, different stand densities, and various segment lengths. The segment length had a significant effect on CI estimation with various methods. The CI estimation accuracy of the LX and CLX methods increased alongside a decrease in the segment length. The CI evidently offered spatial heterogeneity among the different plots. Compared with the true CI, there were significant differences in the CI estimation values with the use of various methods. Moreover, the spatial distribution of the CI estimation values using the Ω<sub>CMN</sub> method could more effectively describe the spatial heterogeneity of the CI. These results can provide a reference for CI estimation in field measurements with various segment lengths in different forest types. |
| first_indexed | 2024-03-09T11:20:41Z |
| format | Article |
| id | doaj.art-e636244e0d7f4acf8395295b7c1055b2 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T11:20:41Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-e636244e0d7f4acf8395295b7c1055b22023-12-01T00:21:25ZengMDPI AGRemote Sensing2072-42922023-01-0115247110.3390/rs15020471Comparison of Canopy Clumping Index Measuring Methods and Analysis of Their ImpactZhiguo Liang0Ying Yu1Xiguang Yang2Wenyi Fan3School of Forestry, Northeast Forestry University, Harbin 150040, ChinaSchool of Forestry, Northeast Forestry University, Harbin 150040, ChinaSchool of Forestry, Northeast Forestry University, Harbin 150040, ChinaSchool of Forestry, Northeast Forestry University, Harbin 150040, ChinaThe clumping index (CI) is a commonly used vegetation dispersion parameter used to characterize the spatial distribution of the clumping or random distribution of leaves in canopy environments, as well as to determine the radiation transfer of the canopy, the photosynthesis of the foliage, and hydrological processes. However, the method of CI estimation using the measurement instrument produces uncertain values in various forest types. Therefore, it is necessary to clarify the differences in CI estimation methods using field measurements with various segment lengths in different forest types. In this study, three 100 m × 100 m plots were set, and the CI and leaf area index (LAI) values were measured. The CI estimation results were compared. The results show that the accuracy of CI estimation was affected by different forest types, different stand densities, and various segment lengths. The segment length had a significant effect on CI estimation with various methods. The CI estimation accuracy of the LX and CLX methods increased alongside a decrease in the segment length. The CI evidently offered spatial heterogeneity among the different plots. Compared with the true CI, there were significant differences in the CI estimation values with the use of various methods. Moreover, the spatial distribution of the CI estimation values using the Ω<sub>CMN</sub> method could more effectively describe the spatial heterogeneity of the CI. These results can provide a reference for CI estimation in field measurements with various segment lengths in different forest types.https://www.mdpi.com/2072-4292/15/2/471clumping indexestimationimpact analysisfield measurement |
| spellingShingle | Zhiguo Liang Ying Yu Xiguang Yang Wenyi Fan Comparison of Canopy Clumping Index Measuring Methods and Analysis of Their Impact Remote Sensing clumping index estimation impact analysis field measurement |
| title | Comparison of Canopy Clumping Index Measuring Methods and Analysis of Their Impact |
| title_full | Comparison of Canopy Clumping Index Measuring Methods and Analysis of Their Impact |
| title_fullStr | Comparison of Canopy Clumping Index Measuring Methods and Analysis of Their Impact |
| title_full_unstemmed | Comparison of Canopy Clumping Index Measuring Methods and Analysis of Their Impact |
| title_short | Comparison of Canopy Clumping Index Measuring Methods and Analysis of Their Impact |
| title_sort | comparison of canopy clumping index measuring methods and analysis of their impact |
| topic | clumping index estimation impact analysis field measurement |
| url | https://www.mdpi.com/2072-4292/15/2/471 |
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