Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.tree.2020.03.006 |
Standardizing Ecosystem Morphological Traits from 3D Information Sources | |
Valbuena, R.1; 39;Connor, B.2 | |
2020-05-15 | |
发表期刊 | TRENDS IN ECOLOGY & EVOLUTION
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ISSN | 0169-5347 |
EISSN | 1872-8383 |
出版年 | 2020 |
卷号 | 35期号:8页码:656-667 |
文章类型 | Review |
语种 | 英语 |
国家 | England; Wales; Switzerland; Finland; USA; Brazil; Italy; Canada |
英文摘要 | 3D-imaging technologies provide measurements of terrestrial and aquatic ecosystems' structure, key for biodiversity studies. However, the practical use of these observations globally faces practical challenges. First, available 3D data are geographically biased, with significant gaps in the tropics. Second, no data source provides, by itself, global coverage at a suitable temporal recurrence. Thus, global monitoring initiatives, such as assessment of essential biodiversity variables (EBVs), will necessarily have to involve the combination of disparate data sets. We propose a standardized framework of ecosystem morphological traits - height, cover, and structural complexity - that could enable monitoring of globally consistent EBVs at regional scales, by flexibly integrating different information sources - satellites, aircrafts, drones, or ground data - allowing global biodiversity targets relating to ecosystem structure to be monitored and regularly reported. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000548450600009 |
WOS关键词 | AIRBORNE LIDAR ; ABOVEGROUND BIOMASS ; MULTITEMPORAL LIDAR ; SPECIES RICHNESS ; FOREST ; BIODIVERSITY ; SAVANNA ; CONSERVATION ; VARIABLES ; DYNAMICS |
WOS类目 | Ecology ; Evolutionary Biology ; Genetics & Heredity |
WOS研究方向 | Environmental Sciences & Ecology ; Evolutionary Biology ; Genetics & Heredity |
URL | 查看原文 |
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/267687 |
专题 | 资源环境科学 |
作者单位 | 1.WCMC, UNEP, 219 Huntington Rd, Cambridge CB3 0DL, England; 2.Univ Cambridge, Dept Plant Sci, Conservat Res Inst, Downing St, Cambridge CB2 3EA, England; 3.Bangor Univ, Sch Nat Sci, Thoday Bldg, Bangor LL57 2UW, Gwynedd, Wales; 4.Swiss Fed Res Inst WSL, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland; 5.Finnish Environm Inst SYKE, Biodivers Ctr, Latokartanonkaari 11, Helsinki 00790, Finland; 6.Univ Eastern Finland, Fac Forest Sci, POB 111, Joensuu, Finland; 7.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA; 8.Univ Florida, Sch Forest Resources & Conservat, Gainesville, FL 32611 USA; 9.Univ Sao Paulo, Dept Forest Sci, Luiz de Queiroz Coll Agr USP ESALQ, Piracicaba, SP, Brazil; 10.Univ Zurich, Remote Sensing Labs, Winterthurerstr 190, CH-8057 Zurich, Switzerland; 11.Univ Firenze, Dipartimento Sci & Tecnol Agr Alimentari Ambienta, Via San Bonaventura 13, I-50145 Florence, Italy; 12.Aberystwyth Univ, Earth Observat & Ecosyst Dynam Res Grp, Aberystwyth SY23 3DB, Dyfed, Wales; 13.Univ British Columbia, Dept Forest Resource Management, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada |
推荐引用方式 GB/T 7714 | Valbuena, R.,39;Connor, B.. Standardizing Ecosystem Morphological Traits from 3D Information Sources[J]. TRENDS IN ECOLOGY & EVOLUTION,2020,35(8):656-667. |
APA | Valbuena, R.,&39;Connor, B..(2020).Standardizing Ecosystem Morphological Traits from 3D Information Sources.TRENDS IN ECOLOGY & EVOLUTION,35(8),656-667. |
MLA | Valbuena, R.,et al."Standardizing Ecosystem Morphological Traits from 3D Information Sources".TRENDS IN ECOLOGY & EVOLUTION 35.8(2020):656-667. |
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