GSTDTAP  > 气候变化
DOI10.1111/gcb.13741
Optimal climate for large trees at high elevations drives patterns of biomass in remote forests of Papua New Guinea
Venter, Michelle1,2; Dwyer, John3; Dieleman, Wouter2; Ramachandra, Anurag4; Gillieson, David2; Laurance, Susan2; Cernusak, Lucas A.2; Beehler, Bruce5; Jensen, Rigel6; Bird, Michael I.2
2017-11-01
发表期刊GLOBAL CHANGE BIOLOGY
ISSN1354-1013
EISSN1365-2486
出版年2017
卷号23期号:11
文章类型Article
语种英语
国家Canada; Australia; USA
英文摘要

Our ability to model global carbon fluxes depends on understanding how terrestrial carbon stocks respond to varying environmental conditions. Tropical forests contain the bulk of the biosphere's carbon. However, there is a lack of consensus as to how gradients in environmental conditions affect tropical forest carbon. Papua New Guinea (PNG) lies within one of the largest areas of contiguous tropical forest and is characterized by environmental gradients driven by altitude; yet, the region has been grossly understudied. Here, we present the first field assessment of above-ground biomass (AGB) across three main forest types of PNG using 193 plots stratified across 3,100-m elevation gradient. Unexpectedly, AGB had no direct relationship to rainfall, temperature, soil, or topography. Instead, natural disturbances explained most variation in AGB. While large trees (diameter at breast height > 50cm) drove altitudinal patterns of AGB, resulting in a major peak in AGB (2,200-3,100 m) and some of the most carbon-rich forests at these altitudes anywhere. Large trees were correlated to a set of climatic variables following a hump-shaped curve. The set of "optimal" climatic conditions found in montane cloud forests is similar to that of maritime temperate areas that harbor the largest trees in the world: high ratio of precipitation to evapotranspiration (2.8), moderate mean annual temperature (13.7 degrees C), and low intra-annual temperature range (7.5 degrees C). At extreme altitudes (2,800-3,100 m), where tree diversity elsewhere is usually low and large trees are generally rare or absent, specimens from 18 families had girths > 70 cm diameter and maximum heights 20-41 m. These findings indicate that simple AGB-climate-edaphic models may not be suitable for estimating carbon storage in forests where optimal climate niches exist. Our study, conducted in a very remote area, suggests that tropical montane forests may contain greater AGB than previously thought and the importance of securing their future under a changing climate is therefore enhanced.


英文关键词carbon elevation transect forest biomass large trees natural disturbance optimal climate condition steep slopes tropical montane forest
领域气候变化 ; 资源环境
收录类别SCI-E
WOS记录号WOS:000412322700035
WOS关键词TROPICAL RAIN-FORESTS ; CARBON STOCKS ; ALTITUDINAL GRADIENTS ; ABOVEGROUND BIOMASS ; ALLOMETRIC MODELS ; HEIGHT ; PRODUCTIVITY ; WORLDS ; TEMPERATURE ; DIVERSITY
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/16617
专题气候变化
资源环境科学
作者单位1.Univ Northern BC, Ecosyst Sci & Management Program, Prince George, BC, Canada;
2.James Cook Univ, Coll Sci & Engn, Ctr Trop Environm & Sustainabil Sci, Cairns, Qld, Australia;
3.Univ Queensland, Sch Biol Sci, St Lucia, Qld, Australia;
4.Conservat Int, Seattle, WA USA;
5.Smithsonian Inst, Div Birds, Natl Museum Nat Hist, MRC 116, Washington, DC 20560 USA;
6.Australian Wildlife Conservancy, Malanda, Qld, Australia
推荐引用方式
GB/T 7714
Venter, Michelle,Dwyer, John,Dieleman, Wouter,et al. Optimal climate for large trees at high elevations drives patterns of biomass in remote forests of Papua New Guinea[J]. GLOBAL CHANGE BIOLOGY,2017,23(11).
APA Venter, Michelle.,Dwyer, John.,Dieleman, Wouter.,Ramachandra, Anurag.,Gillieson, David.,...&Bird, Michael I..(2017).Optimal climate for large trees at high elevations drives patterns of biomass in remote forests of Papua New Guinea.GLOBAL CHANGE BIOLOGY,23(11).
MLA Venter, Michelle,et al."Optimal climate for large trees at high elevations drives patterns of biomass in remote forests of Papua New Guinea".GLOBAL CHANGE BIOLOGY 23.11(2017).
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