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Impacts of species richness on productivity in a large-scale subtropical forest experiment
文献类型:期刊论文
作者 | Huang, Yuanyuan1; Chen, Yuxin1; Castro-Izaguirre, Nadia1; Baruffol, Martin1,2; Brezzi, Matteo1; Lang, Anne3; Li, Ying3; Haerdtle, Werner3; von Oheimb, Goddert4,5; Yang, Xuefei6,7 |
刊名 | SCIENCE |
出版日期 | 2018-10-05 |
卷号 | 362期号:6410页码:80-+ |
ISSN号 | 0036-8075 |
DOI | 10.1126/science.aat6405 |
通讯作者 | Bruelheide, Helge(helge.bruelheide@botanik.uni-halle.de) ; Ma, Keping(kpma@ibcas.ac.cn) ; Niklaus, Pascal A.(pascal.niklaus@ieu.uzh.ch) ; Schmid, Bernhard(bernhard.schmid@ieu.uzh.ch) |
英文摘要 | Biodiversity experiments have shown that species loss reduces ecosystem functioning in grassland. To test whether this result can be extrapolated to forests, the main contributors to terrestrial primary productivity, requires large-scale experiments. We manipulated tree species richness by planting more than 150,000 trees in plots with 1 to 16 species. Simulating multiple extinction scenarios, we found that richness strongly increased stand-level productivity. After 8 years, 16-species mixtures had accumulated over twice the amount of carbon found in average monocultures and similar amounts as those of two commercial monocultures. Species richness effects were strongly associated with functional and phylogenetic diversity. A shrub addition treatment reduced tree productivity, but this reduction was smaller at high shrub species richness. Our results encourage multispecies afforestation strategies to restore biodiversity and mitigate climate change. |
WOS关键词 | ECOSYSTEM-FUNCTION ; BIODIVERSITY EXPERIMENTS ; CROWN PLASTICITY ; PLANT DIVERSITY ; COMPLEMENTARITY ; TREES |
资助项目 | German Research Foundation[DFG FOR 891] ; Chinese Academy of Sciences[XDB31000000] ; Chinese Academy of Sciences[XDA19050000] ; National Natural Science Foundation of China (NSFC)[31270496] ; National Natural Science Foundation of China (NSFC)[31300353] ; Swiss National Science Foundation (SNSF)[130720] ; Swiss National Science Foundation (SNSF)[147092] ; European Union (EC 7th Framework Program)[608422] |
WOS研究方向 | Science & Technology - Other Topics |
语种 | 英语 |
出版者 | AMER ASSOC ADVANCEMENT SCIENCE |
WOS记录号 | WOS:000446547100046 |
资助机构 | German Research Foundation ; Chinese Academy of Sciences ; National Natural Science Foundation of China (NSFC) ; Swiss National Science Foundation (SNSF) ; European Union (EC 7th Framework Program) |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/52771] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Bruelheide, Helge; Ma, Keping; Niklaus, Pascal A.; Schmid, Bernhard |
作者单位 | 1.Univ Zurich, Dept Evolutionary Biol & Environm Studies, CH-8057 Zurich, Switzerland 2.Inst Invest Recursos Biol Alexander von Humboldt, Calle 28A 5-09, Bogota, Colombia 3.Leuphana Univ Luneburg, Inst Ecol, Univ Allee 1, D-21335 Luneburg, Germany 4.German Ctr Integrat Biodivers Res iDiv, Deutsch Pl 5e, D-04103 Leipzig, Germany 5.Tech Univ Dresden, Inst Gen Ecol & Environm Protect, POB 1117, D-01735 Tharandt, Germany 6.Martin Luther Univ Halle Wittenberg, Kirchtor 1, D-06108 Halle, Saale, Germany 7.Chinese Acad Sci, Kunming Inst Bot, 134 Lanhei Rd, Kunming 650204, Yunnan, Peoples R China 8.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 9.Jingdezhen Univ, Key Lab Plant Resources & Biodivers Jiangxi Prov, 838 Cidu Ave, Jingdezhen 333000, Jiangxi, Peoples R China 10.Univ Leipzig, Inst Spezielle Botan & Funkt Biodiversitat, D-04103 Leipzig, Germany |
推荐引用方式 GB/T 7714 | Huang, Yuanyuan,Chen, Yuxin,Castro-Izaguirre, Nadia,et al. Impacts of species richness on productivity in a large-scale subtropical forest experiment[J]. SCIENCE,2018,362(6410):80-+. |
APA | Huang, Yuanyuan.,Chen, Yuxin.,Castro-Izaguirre, Nadia.,Baruffol, Martin.,Brezzi, Matteo.,...&Schmid, Bernhard.(2018).Impacts of species richness on productivity in a large-scale subtropical forest experiment.SCIENCE,362(6410),80-+. |
MLA | Huang, Yuanyuan,et al."Impacts of species richness on productivity in a large-scale subtropical forest experiment".SCIENCE 362.6410(2018):80-+. |
入库方式: OAI收割
来源:地理科学与资源研究所
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