| Can Community Members Identify Tropical Tree Species for REDD plus Carbon and Biodiversity Measurements? | |
Zhao, Mingxu1,2,3 ; Brofeldt, Soren4,5; Li, Qiaohong1,3; Xu, Jianchu1,3; Danielsen, Finn5; Laessoe, Simon Bjarke Laegaard4; Poulsen, Michael Koie5; Gottlieb, Anna5; Maxwell, James Franklin6; Theilade, Ida4
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| 2016-11-04 | |
| 发表期刊 | PLOS ONE
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| 卷号 | 11期号:11页码:e0152061 |
| 摘要 | Biodiversity conservation is a required co-benefit of REDD+. Biodiversity monitoring is therefore needed, yet in most areas it will be constrained by limitations in the available human professional and financial resources. REDD+ programs that use forest plots for biomass monitoring may be able to take advantage of the same data for detecting changes in the tree diversity, using the richness and abundance of canopy trees as a proxy for biodiversity. If local community members are already assessing the above-ground biomass in a representative network of forest vegetation plots, it may require minimal further effort to collect data on the diversity of trees. We compare community members and trained scientists' data on tree diversity in permanent vegetation plots in montane forest in Yunnan, China. We show that local community members here can collect tree diversity data of comparable quality to trained botanists, at one third the cost. Without access to herbaria, identification guides or the Internet, community members could provide the ethno-taxonomical names for 95% of 1071 trees in 60 vegetation plots. Moreover, we show that the community-led survey spent 89% of the expenses at village level as opposed to 23% of funds in the monitoring by botanists. In participatory REDD+ programs in areas where community members demonstrate great knowledge of forest trees, community-based collection of tree diversity data can be a cost-effective approach for obtaining tree diversity information. |
| DOI | 10.1371/journal.pone.0152061 |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000386911100001 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.kib.ac.cn/handle/151853/33658 |
| 专题 | 中国科学院东亚植物多样性与生物地理学重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Kunming Inst Bot, Key Lab Plant Divers & Biogeog East Asia, Kunming, Yunnan, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.World Agroforestry Ctr, East & Cent Asia, Kunming, Yunnan, Peoples R China 4.Univ Copenhagen, Dept Food & Resource Econ, Fac Sci, Copenhagen, Denmark 5.Nord Fdn Dev & Ecol NORDECO, Copenhagen, Denmark 6.Chiang Mai Univ, Dept Biol, Fac Sci, Chiang Mai, Thailand |
| 推荐引用方式 GB/T 7714 | Zhao, Mingxu,Brofeldt, Soren,Li, Qiaohong,et al. Can Community Members Identify Tropical Tree Species for REDD plus Carbon and Biodiversity Measurements?[J]. PLOS ONE,2016,11(11):e0152061. |
| APA | Zhao, Mingxu.,Brofeldt, Soren.,Li, Qiaohong.,Xu, Jianchu.,Danielsen, Finn.,...&Theilade, Ida.(2016).Can Community Members Identify Tropical Tree Species for REDD plus Carbon and Biodiversity Measurements?.PLOS ONE,11(11),e0152061. |
| MLA | Zhao, Mingxu,et al."Can Community Members Identify Tropical Tree Species for REDD plus Carbon and Biodiversity Measurements?".PLOS ONE 11.11(2016):e0152061. |
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