DOI: 10.1111/gcb.14036
Scopus记录号: 2-s2.0-85040793949
论文题名: Chronosequence predictions are robust in a Neotropical secondary forest, but plots miss the mark
作者: Becknell J.M. ; Porder S. ; Hancock S. ; Chazdon R.L. ; Hofton M.A. ; Blair J.B. ; Kellner J.R.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2018
卷: 24, 期: 3 起始页码: 933
结束页码: 943
语种: 英语
英文关键词: biomass
; La Selva
; Land Vegetation and Ice Sensor
; secondary succession
; tropical forest
; waveform lidar
Scopus关键词: biomass
; carbon cycle
; carbon sink
; chronosequence
; ground-based measurement
; lidar
; Neotropic Ecozone
; prediction
; secondary forest
; tropical forest
; Costa Rica
; Heredia
; La Selva
英文摘要: Tropical secondary forests (TSF) are a global carbon sink of 1.6 Pg C/year. However, TSF carbon uptake is estimated using chronosequence studies that assume differently aged forests can be used to predict change in aboveground biomass density (AGBD) over time. We tested this assumption using two airborne lidar datasets separated by 11.5 years over a Neotropical landscape. Using data from 1998, we predicted canopy height and AGBD within 1.1 and 10.3% of observations in 2009, with higher accuracy for forest height than AGBD and for older TSFs in comparison to younger ones. This result indicates that the space-for-time assumption is robust at the landscape-scale. However, since lidar measurements of secondary tropical forest are rare, we used the 1998 lidar dataset to test how well plot-based studies quantify the mean TSF height and biomass in a landscape. We found that the sample area required to produce estimates of height or AGBD close to the landscape mean is larger than the typical area sampled in secondary forest chronosequence studies. For example, estimating AGBD within 10% of the landscape mean requires more than thirty 0.1 ha plots per age class, and more total area for larger plots. We conclude that under-sampling in ground-based studies may introduce error into estimations of the TSF carbon sink, and that this error can be reduced by more extensive use of lidar measurements. © 2017 John Wiley & Sons Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/110479
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Environmental Studies Program, Colby College, Waterville, ME, United States; Institute at Brown for Environment and Society, Brown University, Providence, RI, United States; Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, United States; Department of Geographical Sciences, University of Maryland, College Park, MD, United States; Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States
Recommended Citation:
Becknell J.M.,Porder S.,Hancock S.,et al. Chronosequence predictions are robust in a Neotropical secondary forest, but plots miss the mark[J]. Global Change Biology,2018-01-01,24(3)