Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2019.02.002 |
The effectiveness of lidar remote sensing for monitoring forest cover attributes and landscape restoration | |
Almeida, D. R. A.1; Stark, S. C.2; Chazdon, R.3; Nelson, B. W.4; Cesar, R. G.1; Meli, P.1; Gorgens, E. B.5; Duarte, M. M.1; Valbuena, R.6,7; Moreno, V. S.1; Mendes, A. F.1; Amazonas, N.1; Goncalves, N. B.4; Silva, C. A.8; Schietti, J.4; Brancalion, P. H. S.1 | |
2019-04-15 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT
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ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2019 |
卷号 | 438页码:34-43 |
文章类型 | Article |
语种 | 英语 |
国家 | Brazil; USA; England; Finland |
英文摘要 | Ambitious pledges to restore over 400 million hectares of degraded lands by 2030 have been made by several countries within the Global Partnership for Forest Landscape Restoration (FLR). Monitoring restoration outcomes at this scale requires cost-effective methods to quantify not only forest cover, but also forest structure and the diversity of useful species. Here we obtain and analyze structural attributes of forest canopies undergoing restoration in the Atlantic Forest of Brazil using a portable ground lidar remote sensing device as a proxy for airbome laser scanners. We assess the ability of these attributes to distinguish forest cover types, to estimate aboveground dry woody biomass (AGB) and to estimate tree species diversity (Shannon index and richness). A set of six canopy structure attributes were able to classify five cover types with an overall accuracy of 75%, increasing to 87% when combining two secondary forest classes. Canopy height and the unprecedented "leaf area height volume" (a cumulative product of canopy height and vegetation density) were good predictors of AGB. An index based on the height and evenness of the leaf area density profile was weakly related to the Shannon Index of tree species diversity and showed no relationship to species richness or to change in species composition. These findings illustrate the potential and limitations of lidar remote sensing for monitoring compliance of FLR goals of landscape multifunctionality, beyond a simple assessment of forest cover gain and loss. |
英文关键词 | Atlantic Forest Forest canopy Forest regeneration Forest succession Restoration accountability Restoration monitoring Tropical forest restoration Tropical reforestation |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000463120500005 |
WOS关键词 | CANOPY LEAF-AREA ; ABOVEGROUND BIOMASS ; TROPICAL FOREST ; AIRBORNE LIDAR ; DIVERSITY ; PROFILES ; PLANTATIONS ; EUCALYPTUS ; SCIENCE ; HEIGHT |
WOS类目 | Forestry |
WOS研究方向 | Forestry |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/182336 |
专题 | 气候变化 |
作者单位 | 1.Univ Sao Paulo USP ESALQ, Dept Forest Sci, Luiz de Queiroz Coll Agr, Piracicaba, SP, Brazil; 2.Michigan State Univ, Dept Forestry, E Lansing, MI 48824 USA; 3.Univ Connecticut, Dept Ecol & Evolutionary Biol, Storrs, CT USA; 4.Natl Inst Amazon Res INPA, Manaus, AM, Brazil; 5.Fed Univ Vales Jequitinhonha & Mucuri UFVJM, Dept Forestry, Diamantina, MG, Brazil; 6.Univ Cambridge, Dept Plant Sci Forest Ecol & Conservat, Cambridge, England; 7.Univ Eastern Finland, Sch Forest Sci, POB 111, Joensuu, Finland; 8.NASA, Goddard Space Flight Ctr, Biosci Lab, Greenbelt, MD 20707 USA |
推荐引用方式 GB/T 7714 | Almeida, D. R. A.,Stark, S. C.,Chazdon, R.,et al. The effectiveness of lidar remote sensing for monitoring forest cover attributes and landscape restoration[J]. FOREST ECOLOGY AND MANAGEMENT,2019,438:34-43. |
APA | Almeida, D. R. A..,Stark, S. C..,Chazdon, R..,Nelson, B. W..,Cesar, R. G..,...&Brancalion, P. H. S..(2019).The effectiveness of lidar remote sensing for monitoring forest cover attributes and landscape restoration.FOREST ECOLOGY AND MANAGEMENT,438,34-43. |
MLA | Almeida, D. R. A.,et al."The effectiveness of lidar remote sensing for monitoring forest cover attributes and landscape restoration".FOREST ECOLOGY AND MANAGEMENT 438(2019):34-43. |
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