应用生态学报 ›› 2020, Vol. 31 ›› Issue (2): 667-673.doi: 10.13287/j.1001-9332.202002.003
刘德团, 马永鹏*
收稿日期:
2019-10-26
出版日期:
2020-02-15
发布日期:
2020-02-15
通讯作者:
* E-mail: mayongpeng@mail.kib.ac.cn
作者简介:
刘德团, 男, 1984年生, 工程师。主要从事植物资源与保护研究。E-mail: liudetuan@mail.kib.ac.cn
基金资助:
LIU De-tuan, MA Yong-peng*
Received:
2019-10-26
Online:
2020-02-15
Published:
2020-02-15
Contact:
* E-mail: mayongpeng@mail.kib.ac.cn
Supported by:
摘要: 监测是植物保护工作的重要基础,也是管理者决策的重要依据,对生物资源的可持续利用和保护至关重要。本研究综述了植物多样性监测的进展,就未来的热点和方向进行了探讨。植物多样性监测正以全新的局面飞速发展,已经进入了智能化、宏观与微观结合、联网监测、大数据、大尺度、多学科、全方位、立体化、由物种水平扩展到科属水平、群落或生态系统层面的监测时代;生物多样性监测网络的建设促进了联网监测与核心监测指标体系的统一,网络资源成为植物多样性监测的大数据源。数据的标准化与有效利用、大数据共享、遗传多样性和个体物种水平监测是监测植物多样性的机遇和挑战。未来的生态监测是大尺度、智能化、统一化的监测,完善监测网络体系,寻找新方法、构建新模型,开展热点区域和优先物种监测,并兼顾群落或更大尺度,重视植物基础本底数据的收集,是今后监测的重点。
刘德团, 马永鹏. 植物多样性监测研究进展[J]. 应用生态学报, 2020, 31(2): 667-673.
LIU De-tuan, MA Yong-peng. Plant diversity monitoring: A review[J]. Chinese Journal of Applied Ecology, 2020, 31(2): 667-673.
[1] | 马克平. 生物多样性科学的热点问题. 生物多样性, 2016, 24(1): 1-2 [Ma K-P. Hot topics for biodiversity science. Biodiversity Science, 2016, 24(1): 1-2] |
[2] | 马克平. 监测是评估生物多样性保护进展的有效途径. 生物多样性, 2011, 19(2): 125-126 [Ma K-P. Assessing progress of biodiversity conservation with monitoring approach. Biodiversity Science, 2011, 19(2): 125-126] |
[3] | Vihervaara P, Auvinen AP, Mononen L, et al. How essential biodiversity variables and remote sensing can help national biodiversity monitoring. Global Ecology and Conservation, 2017, 10: 43-59 |
[4] | Xu HG, Cao MC, Wu Y, et al. Optimized monitoring sites for detection of biodiversity trends in China. Biodiversity and Conservation, 2017, 26: 1959-1971 |
[5] | Kelling S. Technology developments for biodiversity monitoring and conservation. Biodiversity Information Science and Standards, 2018, 2: 10.3897/biss.2.25833 |
[6] | Gonzalez L, Montes G, Puig E, et al. Unmanned aerial vehicles (UAVs) and artificial intelligence revolutionizing wildlife monitoring and conservation. Sensors, 2016, 16: 10.3390/s16010097 |
[7] | Forster MA. How significant is nocturnal sap flow? Tree Physiology, 2014, 34: 757-765 |
[8] | Qu YH, Zhu YQ, Han WC, et al. Crop leaf area index observations with a wireless sensor network and its potential for validating remote sensing products. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 7: 431-444 |
[9] | Alberton B, Torres RdS, Cancian LF, et al. Introducing digital cameras to monitor plant phenology in the tropics: Applications for conservation. Perspectives in Ecology and Conservation, 2017, 15: 82-90 |
[10] | Berra EF, Gaulton R, Barr S. Use of a digital camera onboard a UAV to monitor spring phenology at individual tree level. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 7: 431-444 |
[11] | Wallace L, Lucieer A, Malenovsky Z, et al. Assessment of forest structure using two UAV techniques: A compa-rison of airborne laser scanning and structure from motion (SfM) point clouds. Forests, 2016, 7: 10.3390/f7030062 |
[12] | Creer S, Deiner K, Frey S, et al. The ecologist’s field guide to sequence-based identification of biodiversity. Methods in Ecology and Evolution, 2016, 7: 1008-1018 |
[13] | 唐志尧, 蒋旻炜, 张健, 等. 航空航天遥感在物种多样性研究与保护中的应用. 生物多样性, 2018, 26(8): 807-818 [Tang Z-Y, Jiang M-W, Zhang J, et al. Applications of satellite and air-borne remote sensing in biodiversity research and conservation. Biodiversity Science, 2018, 26(8): 807-818] |
[14] | 郭庆华, 胡天宇, 姜媛茜, 等. 遥感在生物多样性研究中的应用进展. 生物多样性, 2018, 26(8): 789-806 [Guo Q-H, Hu T-Y, Jiang Y-Q, et al. Advances in remote sensing application for biodiversity research. Biodiversity Science, 2018, 26(8): 789-806] |
[15] | Shugart HH, Asner GP, Fischer R, et al. Computer and remote-sensing infrastructure to enhance large-scale testing of individual-based forest models. Frontiers in Eco-logy and the Environment, 2015, 13: 503-511 |
[16] | Jetz W, Cavender-Bares J, Pavlick R, et al. Monitoring plant functional diversity from space. Nature Plants, 2016, 2: 10.1038/nplants.2016.24 |
[17] | Luque S, Pettorelli N, Vihervaara P, et al. Improving biodiversity monitoring using satellite remote sensing to provide solutions towards the 2020 conservation targets. Methods in Ecology and Evolution, 2018, 9: 1784-1786 |
[18] | Lin WP, Chen GS, Guo PP, et al. Remote-sensed monitoring of dominant plant species distribution and dynamics at Jiuduansha Wetland in Shanghai, China. Remote Sensing, 2015, 7: 10227-10241 |
[19] | 梁星云, 刘世荣. 基于冠层塔吊原位测定长白山温带阔叶红松原始林群落主要树种的光合特征. 应用生态学报, 2019, 30(5): 1494-1502 [Liang X-Y, Liu S-R. In-situ measurement of photosynthetic characteristics of dominant tree species based on canopy crane in a Korean pine broad-leaved forest in Changbai Mountain, northeastern China. Chinese Journal of Applied Ecology, 2019, 30(5): 1494-1502] |
[20] | Nakamura A, Kitching RL, Cao M, et al. Forests and their canopies: Achievements and horizons in canopy science. Trends in Ecology & Evolution, 2017, 32: 438-451 |
[21] | Fahner NA, Shokralla S, Baird DJ, et al. Large-scale monitoring of plants through environmental DNA metabarcoding of soil: Recovery, resolution, and annotation of four DNA markers. PLoS One, 2016, 11(6): 10.1371/journal.pone.0157505 |
[22] | Nichols P, McCallum A, Lucke T. Using ground penetrating radar to locate and categorise tree roots under urban pavements. Urban Forestry & Urban Greening, 2017, 27: 9-14 |
[23] | Yamasaki E, Altermatt F, Cavender-Bares J, et al. Genomics meets remote sensing in global change stu-dies: Monitoring and predicting phenology, evolution and biodiversity. Current Opinion in Environmental Sustainability, 2017, 29: 177-186 |
[24] | Supple MA, Shapiro B. Conservation of biodiversity in the genomics era. Genome Biology, 2018, 19: 10.1186/s13059-018-1520-3 |
[25] | Haase P, Tonkin JD, Stoll S, et al. The next generation of site-based long-term ecological monitoring: Linking essential biodiversity variables and ecosystem integrity. Science of the Total Environment, 2018, 613: 1376-1384 |
[26] | 于贵瑞, 于秀波. 中国生态系统研究网络与自然生态系统保护. 中国科学院院刊, 2013, 28(2): 275-283 [Yu G-R, Yu X-B. Chinese ecosystem research network (CERN) and natural ecosystem protection. Bulletin of the Chinese Academy of Sciences, 2013, 28(2): 275-283] |
[27] | 马克平. 中国生物多样性监测网络建设: 从CForBio到Sino BON. 生物多样性, 2015, 23(1): 1-2 [Ma K-P. Biodiversity monitoring in China: From CForBio to Sino BON. Biodiversity Science, 2015, 23(1): 1-2] |
[28] | Xia S, Liu Y, Yu X, et al. Challenges in coupling LTER with environmental assessments: An insight from potential and reality of the Chinese Ecological Research Network in servicing environment assessments. Science of the Total Environment, 2018, 633: 1302-1313 |
[29] | Fuccillo KK, Crimmins TM, de Rivera CE, et al. Assessing accuracy in citizen science-based plant phenology monitoring. International Journal of Biometeoro-logy, 2015, 59: 917-926 |
[30] | Kobori H, Dickinson JL, Washitani I, et al. Citizen science: A new approach to advance ecology, education, and conservation. Ecological Research, 2016, 31: 1-19 |
[31] | Chandler M, See L, Copas K, et al. Contribution of citizen science towards international biodiversity monitoring. Biological Conservation, 2017, 213: 280-294 |
[32] | Papworth SK, Nghiem T, Chimalakonda D, et al. Quantifying the role of online news in linking conservation research to Facebook and Twitter. Conservation Biology, 2015, 29: 825-833 |
[33] | Hausmann A, Toivonen T, Slotow R, et al. Social media data can be used to understand tourists’ prefe-rences for nature-based experiences in protected areas. Conservation Letters, 2018, 11: 10.1111/conl.12343 |
[34] | Gray TN, Phommachak A, Vannachomchan K, et al. Using local ecological knowledge to monitor threatened Mekong megafauna in Lao PDR. PLoS One, 2017, 12(8): e0183247 |
[35] | Brown ED, Williams BK. The potential for citizen science to produce reliable and useful information in eco-logy. Conservation Biology, 2019, 33: 561-569 |
[36] | Peruzzi L, Bagella S, Filigheddu S, et al. The Wikiplantbase project: The role of amateur botanists in buil-ding up large online floristic databases. Flora Mediterranea, 2017, 27: 117-129 |
[37] | Brenskelle L, Stucky BJ, Deck J, et al. Integrating herbarium specimen observations into global phenology data systems. Applications in Plant Sciences, 2019, 7: 10.1002/aps3.1231 |
[38] | Farley SS, Dawson A, Goring SJ, et al. Situating eco-logy as a big-data science: Current advances, challenges, and solutions. BioScience, 2018, 68: 563-576 |
[39] | Bush A, Sollmann R, Wilting A, et al. Connecting Earth observation to high-throughput biodiversity data. Nature Ecology & Evolution, 2017, 1: 10.1038/s41559-017-0176 |
[40] | Peterson AT, Soberón J. Essential biodiversity variables are not global. Biodiversity and Conservation, 2018, 27: 1277-1288 |
[41] | Kissling WD, Ahumada JA, Bowser A, et al. Building essential biodiversity variables (EBV s) of species distribution and abundance at a global scale. Biological Reviews, 2018, 93: 600-625 |
[42] | Grimm V, Ayllón D, Railsback SF. Next-generation individual-based models integrate biodiversity and ecosystems: Yes we can, and yes we must. Ecosystems, 2017, 20: 229-236 |
[43] | Yang J, Cao M, Swenson NG. Why functional traits do not predict tree demographic rates. Trends in Ecology & Evolution, 2018, 33: 326-336 |
[44] | Cadotte MW, Davies TJ, Peres-Neto PR. Why phylogenies do not always predict ecological differences. Ecolo-gical Monographs, 2017, 87: 535-551 |
[45] | Paine CT, Amissah L, Auge H, et al. Globally, functional traits are weak predictors of juvenile tree growth, and we do not know why. Journal of Ecology, 2015, 103: 978-989 |
[46] | 朱凯, 袁凤辉, 关德新, 等. 植物叶肉导度的测定及计算方法综述. 应用生态学报, 2019, 30(5): 1772-1782 [Zhu K, Yuan F-H, Guan D-X, et al. Measuring and calculating methods of plant mesophyll conductance: A review. Chinese Journal of Applied Ecology, 2019, 30(5): 1772-1782] |
[47] | Carmona CP, de Bello F, Mason NW, et al. Traits without borders: Integrating functional diversity across scales. Trends in Ecology & Evolution, 2016, 31: 382-394 |
[48] | Hunter ME, Hoban SM, Bruford MW, et al. Next-generation conservation genetics and biodiversity monitoring. Evolutionary Applications, 2018, 11: 1029-1034 |
[49] | Fussi B, Westergren M, Aravanopoulos F, et al. Forest genetic monitoring: An overview of concepts and definitions. Environmental Monitoring and Assessment, 2016, 188: 10.1007/s10661-016-5489-7 |
[50] | Urban MC, Bocedi G, Hendry AP, et al. Improving the forecast for biodiversity under climate change. Science, 2016, 353: 10.1126/science.aad8466 |
[51] | 李际. 协同分布式实验2.0 (CDE 2.0): 生态学野外研究新方法. 应用生态学报, 2019, 30(2): 449-455 [Li J. Coordinated distributed experiments 2.0 (CDE 2.0): A novelty methodology of ecological field investigation. Chinese Journal of Applied Ecology, 2019, 30(2): 449-455] |
[52] | Kissling WD, Walls R, Bowser A, et al. Towards global data products of essential biodiversity variables on species traits. Nature Ecology & Evolution, 2018, 2: 1531-1540 |
[53] | Steenweg R, Hebblewhite M, Kays R, et al. Scaling-up camera traps: Monitoring the planet’s biodiversity with networks of remote sensors. Frontiers in Ecology and the Environment, 2017, 15: 26-34 |
[54] | Schmeller DS, Böhm M, Arvanitidis C, et al. Building capacity in biodiversity monitoring at the global scale. Biodiversity and Conservation, 2017, 26: 2765-2790 |
[55] | Sigwart JD, Bennett K, Edie SM, et al. Measuring biodiversity and extinction: Present and past. Integrative and Comparative Biology, 2018, 58: 1111-1117 |
[56] | Honrado JP, Pereira HM, Guisan A. Fostering integration between biodiversity monitoring and modelling. Journal of Applied Ecology, 2016, 53: 1299-1304 |
[57] | Myers N, Mittermeier RA, Mittermeier CG, et al. Biodiversity hotspots for conservation priorities. Nature, 2000, 403: 853-858 |
No related articles found! |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||