Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/gcb.14036 |
Chronosequence predictions are robust in a Neotropical secondary forest, but plots miss the mark | |
Becknell, Justin M.1,2; Porder, Stephen2,3; Hancock, Steven4; Chazdon, Robin L.5; Hofton, Michelle A.4; Blair, James B.6; Kellner, James R.2,3 | |
2018-03-01 | |
发表期刊 | GLOBAL CHANGE BIOLOGY |
ISSN | 1354-1013 |
EISSN | 1365-2486 |
出版年 | 2018 |
卷号 | 24期号:3页码:933-943 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Tropical secondary forests (TSF) are a global carbon sink of 1.6Pg 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 11.5years 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 0.1ha 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. |
英文关键词 | biomass La Selva Land Vegetation and Ice Sensor secondary succession tropical forest waveform lidar |
领域 | 气候变化 ; 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000425396700008 |
WOS关键词 | TROPICAL RAIN-FOREST ; NORTHEASTERN COSTA-RICA ; AIRBORNE LIDAR ; DRY FOREST ; BIOMASS ; SUCCESSION ; DYNAMICS ; LANDSCAPE ; RECOVERY ; DRIVERS |
WOS类目 | Biodiversity Conservation ; Ecology ; Environmental Sciences |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
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/16841 |
专题 | 气候变化 资源环境科学 |
作者单位 | 1.Colby Coll, Environm Studies Program, Waterville, ME 04901 USA; 2.Brown Univ, Inst Brown Environm & Soc, Providence, RI 02912 USA; 3.Brown Univ, Dept Ecol & Evolutionary Biol, Providence, RI 02912 USA; 4.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA; 5.Univ Connecticut, Dept Ecol & Evolutionary Biol, Storrs, CT USA; 6.NASA, Goddard Space Flight Ctr, Greenbelt, MD USA |
推荐引用方式 GB/T 7714 | Becknell, Justin M.,Porder, Stephen,Hancock, Steven,et al. Chronosequence predictions are robust in a Neotropical secondary forest, but plots miss the mark[J]. GLOBAL CHANGE BIOLOGY,2018,24(3):933-943. |
APA | Becknell, Justin M..,Porder, Stephen.,Hancock, Steven.,Chazdon, Robin L..,Hofton, Michelle A..,...&Kellner, James R..(2018).Chronosequence predictions are robust in a Neotropical secondary forest, but plots miss the mark.GLOBAL CHANGE BIOLOGY,24(3),933-943. |
MLA | Becknell, Justin M.,et al."Chronosequence predictions are robust in a Neotropical secondary forest, but plots miss the mark".GLOBAL CHANGE BIOLOGY 24.3(2018):933-943. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论