地球科学进展 ›› 2008, Vol. 23 ›› Issue (9): 924 -931. doi: 10.11867/j.issn.1001-8166.2008.09.0924

综述与评述 上一篇    下一篇

生物多样性遥感研究进展
魏彦昌,吴炳方,张喜旺,杜鑫   
  1. 中国科学院遥感应用研究所,北京 100101
  • 收稿日期:2008-05-05 修回日期:2008-08-13 出版日期:2008-09-10
  • 通讯作者: 吴炳方(1962-),男,江西玉山人,研究员,主要从事农业与生态环境遥感研究. E-mail:wubf@irsa.ac.cn
  • 基金资助:

    中国博士后科学基金资助项目“森林植被生物多样性快速监测的遥感指数研究”(编号:20070410650);中国科学院知识创新工程重大项目“重大工程生态环境效应遥感监测与评估”(编号:KZCX1-YW-08-03)资助.

Advances in Remote Sensing Research for Biodiversity Monitoring

Wei Yanchang,Wu Bingfang,Zhang Xiwang,Du Xin   

  1. Institute of Remote sensing Applications, Chinese Academy of Sciences, Beijing 100101, China
  • Received:2008-05-05 Revised:2008-08-13 Online:2008-09-10 Published:2008-09-10

随着遥感技术和新型传感器的发展,遥感已成为目前区域或全球生物多样性研究的重要方法。综述了目前国内外生物多样性遥感研究的最新进展;分析了遥感生物多样性研究的主要理论基础,包括光谱变异假说、生产力假说和种—面积关系理论等;总结了利用高空间和高光谱分辨率遥感数据直接监测生物物种及其多样性的进展与局限性;基于遥感反演的不同环境变量进行生物多样性模拟和预测是目前最常用的方法,对其进行了较详细的分析,并介绍了相关模型的发展。最后,总结了该方法在我国的应用局限,指出增进学科合作、将遥感方法与生态学理论和模型相结合、重视地面验证数据的使用将是生物多样性遥感研究的发展趋势。

Nowadays, remote sensing technique has become the main method for monitoring biodiversity on regional and global scale. This paper reviews the new advances in remote sensing research for biodiversity monitoring. The theoretical basis of biodiversity study using remote sensing technique includes: Spectral variation hypothesis, Productivity hypothesis and Species-area relationship theory. The progress of using new hyperspatial and hyperspectral data for directly retrieval biodiversity indexes and its limitations are discussed in this paper. The method based on various environmental parameters derived from remote sensing data to simulate and predict biodiversity is the common one used at present, which is analyzed in detail, and the related models are introduced as well. Finally, a summary is presented. The basic principles of selecting appropriate remote sensing data and research scale are proposed, and the applicable limitations of this method in China are summarized. Strengthening multidisciplinary cooperation, combining remote sensing technique and ecological models, and emphasizing the role of ground-based data will be the developmental trends of remote sensing research for biodiversity monitoring.

中图分类号: 

[1] Reid W V. How many species will there be?[C]Whitmore T C,Sayer J A,eds. Tropical Deforestation and Species Extinction.London:Chapman & Hall,1992:55-73.

[2] Strand H,Höft R,Strittholt J,et al. Sourcebook on remote sensing and biodiversity indicators[C].Secretariat of the Convention on Biological Diversity,2007:203.

[3] John R,Chen J,Lu N,et al. Predicting plant diversity based on remote sensing products in the semi-arid region of Inner Mongolia[J]. Remote Sensing of Environment,2008,1125:2 018-2 032.

[4] Aplin P. Remote sensing as a means of ecological investigation[C]Altan M O,ed. Proceedings XXth Congress of the International Society for Photogrammetry and Remote Sensing.Turkey ICEC,2004.

[5] Turner W,Spector S,Gardiner N,et al. Remote sensing for biodiversity science and conservation[J]. Trends in Ecology and Evolution,2003,186:306-314.

[6] Teder T,Moora M,Roosaluste E,et al. Monitoring of biological diversity:A commonground approach[J]. Conservation Biology,2007,212:313-317.

[7] Muchoney D M. Earth observation for terrestrial biodiversity and ecosystems[J]. Remote Sensing of Environment,2008,1125:1 909-1 911.

[8] Broadbent E N,Asner G P,Pena-Claros M,et al. Spatial partitioning of biomass and diversity in a lowland Bolivian forest:Linking field and remote sensing measurements[J]. Forest Ecology and Management,2008,2557: 2 502-2 612.

[9] Rocchini D,Ricotta C,Chiarucci A. Using satellite imagery to assess plant species richness:The role of multispectral systems[J]. Applied Vegetation Science,2007,103:325-331.

[10] Leyequien E,Verrelst J,Slot M,et al. Capturing the fugitive: Applying remote sensing to terrestrial animal distribution and diversity[J]. International Journal of Applied Earth Observation and Geoinformation,2007,91: 1-20.

[11] Fuller R M,Devereux B J,Gillings S,et al. Bird distributions relative to remotely sensed habitats in Great Britain: Towards a framework for national modeling[J]. Journal of Environmental Management,2007,844: 586-605.

[12] Duro D,Coops N C,Wulder M A,et al. Development of a large area biodiversity monitoring system driven by remote sensing[J]. Progress in Physical Geography,2007,33:235-260.

[13] Carlson K M,Asner G P,Hughes R F,et al. Hyperspectral remote sensing of canopy biodiversity in Hawaiian lowland rainforests[J]. Ecosystems,2007,104:536-549.

[14] Xu Wenting,Wu Bingfang,Tian Yichen. Mapping plant diversity of broad-leaved forest ecosystem using landsat TM data[C]IEEE International Geoscience and Remote Sensing Symposium. 2004:4 598-4 600.

[15] Palmer M W,Earls P G,Hoagland B W,et al. Quantitative tools for perfecting species lists[J]. Environmetrics, 2002,132:121-137.

[16] Rocchini D,Chiarucci A,Loiselle S A. Testing the spectral variation hypothesis by using satellite multispectral images[J]. Acta Oecologica-International Journal of Ecology,2004,262:117-120.

[17] Foody G M,Cutler M E J. Tree biodiversity in protected and logged Bornean tropical rain forests and its measurement by satellite remote sensing[J]. Journal of Biogeography,2003,307:1 053-1 066.

[18] Foody G M,Cutler M E J. Mapping the species richness and composition of tropical forests from remotely sensed data with neural networks[J]. Ecological Modelling,2006,1951/2:37-42.

[19] Oindo B O,Skidmore A K. Interannual variability of NDVI and species richness in Kenya[J]. International Journal of Remote Sensing,2002,232:285-298.

[20] Waser L T,Stofer S,Schwarz M,et al. Prediction of biodiversity:Regression of lichen species richness on remote sensing data[J]. Community Ecology,2004,51:121-134.

[21] Rocchini D. Effects of spatial and spectral resolution in estimating ecosystem-diversity by satellite imagery[J]. Remote Sensing of Environment,2007,1114:423-434.

[22] Mehner H,Cutler M,Fairbairn D,et al. Remote sensing of upland vegetation: The potential of high spatial resolution satellite sensors[J]. Global Ecology and Biogeography,2004,134:359-369.

[23] Nagendra H. Using remote sensing to assess biodiversity[J]. International Journal of Remote Sensing,2001, 2212:2 377-2 400.

[24] Grime J P. Plant Strategies and Vegetation Processes[M].New York:Wiley,1979.

[25] Groombridge B. Status of the earth's living resources[C]Global Biodiversity. London:World Conservation Monitoring Centre,1992.

[26] Tilman D. Biodiversity:Population versus ecosystem stability[J]. Ecology,1996,772:350-363.

[27] Hawkins B A,Field R,Comell H V,et al. Energy,water,and broad-scale geographic patterns of species richness[J]. Ecology,2003,8412:3 105-3 117.

[28] Kooistra L,Wamelink W,Schaepman-Strub G,et al. Assessing and predicting biodiversity in a floodplain ecosystem: Assimilation of net primary production derived from imaging spectrometer data into a dynamic vegetation model[J]. Remote Sensing of Environment,2008,1125:2 118-2 130.

[29] Prince S D. Satellite Remote-Sensing of Primary Production-Comparison of Results for Sahelian Grasslands 1981-1988[J]. International Journal of Remote Sensing,1991,126:1 301-1 311.

[30] Tittensor D P,Micheli F,Nystr-m M,et al. Human impacts on the species-area relationship in reef fish assemblages[J]. Ecology Letters,2007,109:760-772.

[31] Drakare S,Lennon J J,Hillebrand H. The imprint of the geographical, evolutionary and ecological context on species-area relationships [J]. Ecology Letters,2006,92:215-227.

[32] Simberloff D. Do species-area curves predict extinction in fragmented forest?[C]Whitmore T C,Sayer J A,eds. Tropical Deforestation and Species Extinction. London: Chapman & Hall,1992:75-89.

[33] Defries R S,Hansen M C,Townshend J R G,et al. A new global 1-km dataset of percentage tree cover derived from remote sensing[J]. Global Change Biology,2000,62:247-254.

[34] Pimm S L,Russell G J,Gittleman J L,et al. The future of biodiversity[J]. Science,1995,2695 222:347-350.

[35] Brooks T M,Pimm S L,Collar N J. Deforestation predicts the number of threatened birds in insular southeast Asia[J]. Conservation Biology,1997,112:382-394.

[36] Westman W E,Strong L L,Wilcox B A. Tropical deforestation and species endangerment:The role of remote sensing[J]. Landscape Ecology,1989,32:97-109.

[37] Pimm S L,Raven P. Biodiversity—Extinction by numbers[J]. Nature,2000,4036 772:843-845.

[38] Stoms D M,Estes J E. A remote-sensing research agenda for mapping and monitoring biodiversity[J]. International Journal of Remote Sensing,1993,1410:1 839-1 860.

[39] Podolsky R. Ecological hot spots: A method for estimating biodiversity directly form digital Earth imagery[J]. Earth Observation Magazine,1994,9:30-36.

[40] Carter G A,Knapp A K,Anderson J E,et al. Indicators of plant species richness in AVIRIS spectra of a mesic grassland[J]. Remote Sensing of Environment,2005,982/3:304-316.

[41] Muldavin E H,Neville P,Harper G. Indices of grassland biodiversity in the Chihuahuan Desert ecoregion derived from remote sensing[J]. Conservation Biology,2001,154:844-855.

[42] Root R,Ustin S,Zarco-Tejada P,et al. Comparison of AVIRIS and EO-1 hyperion for classification and mapping of invasive leafy spurge[C]Theodore Roosevelt National Park,ed. Preceedings of the JPL Airborne Earth Science Workshop. NASA Jet Propulsion Laboratory,2002.

[43] Ustin S L,Roberts D A,Gamon J A,et al. Using imaging spectroscopy to study ecosystem processes and properties[J]. Bioscience,2004,546:523-534.

[44] Zhao Dehua,Li Jianlong,Song Zijian. Hyperspectral remote sensing for estimating biochemical variables of canopy[J]. Advances in Earth Science,2003,181:94-99.[赵德华,李建龙,宋子键. 高光谱技术提取植被生化参数机理与方法研究进展[J]. 地球科学进展,2003,181:94-99.]

[45] Clark M L,Roberts D A,Clark D B. Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales[J]. Remote Sensing of Environment,2005,963/4:375-398.

[46] Manley P N,Zielinski W J,Schlesinger M D,et al. Evaluation of multiple-species approach to monitoring species at the ecoregional scale[J]. Ecological Applications,2004,141:296-310.

[47] Clawges R,Vierling K,Vierling L,et al. The use of airborne lidar to assess avian species diversity,density,and occurrence in a pine/aspen forest[J]. Remote Sensing of Environment,2008,1125:2 064-2 073.

[48] Lehoczky E,Tamas J,Kismanyoky A,et al. Comparative study of fertilization effect on weed biodiversity of long term experiments with near field remote sensing methods[J]. Journal of Plant Diseases and Protection,2006,Special Issue XX:801-807.

[49] Dogan H M,Dogan M. A new approach to diversity indices-modeling and mapping plant biodiversity of NallihanA3-Ankara/Turkey forest ecosystem in frame of geographic information systems[J]. Biodiversity and Conservation,2006,153:855-878.

[50] Seto K C,Fleishman E,Fay J P,et al. Linking spatial patterns of bird and butterfly species richness with Landsat TM derived NDVI[J]. International Journal of Remote Sensing,2004,2520:4 309-4 324.

[51] Huete A,Didan K,Miura T,et al. Overview of the radiometric and biophysical performance of the MODIS vegetation indices[J]. Remote Sensing of Environment,2002,831/2:195-213.

[52] Waring R H,Coops N C,Fan W,et al. MODIS enhanced vegetation index predicts tree species richness across forested ecoregions in the contiguous USA[J]. Remote Sensing of Environment,2006,1032:218-226.

[53] Xu Wenting,Wu Bingfang. Progress on measuring forest biodiversity with remote sensing technique[J]. Acta Ecologica Sinica,2005,255:1 199-1 204.[徐文婷,吴炳方. 遥感用于森林生物多样性监测的进展[J]. 生态学报,2005,255:1 199-1 204.]

[54] Linderman M,Bearer S,An L,et al. The effects of understory bamboo on broad-scale estimates of giant panda habitat[J]. Biological Conservation,2005,1213:383-390.

[55] Sun Guoqing,Ranson K J,Zhang Zhongjun. Forest vertical parameters from Lidar and multi-angle imaging spectrometer data[J]. Journal of Remote Sensing,2006,104:523-530.[孙国清,Ranson K J,张钟军. 利用激光雷达和多角度频谱成像仪数据估测森林垂直参数[J]. 遥感学报,2006,104:523-530.]

[56] Vierling K T,Vierling L A,Gould W A,et al. Lidar:Shedding new light on habitat characterization and modeling[J]. Frontiers in Ecology and the Environment,2008,62:90-98.

[57] Innes J L,Koch B. Forest biodiversity and its assessment by remote sensing[J].Global Ecology and Biogeography letters,1998,76:397-419.

[58] Diamond J. Factors controlling species diverstiy: Overview and synthesis[J]. Annals of the Missouri Botanical Garden,1988,751:117-129.

[59] Sarr D A,Hibbs D E,Huston M A. A hierarchical perspective of plant diversity[J]. Quarterly Review of Biology,2005,802:187-212.

[60] Phillips S J,Anderson R P,Schapire R E. Maximum entropy modeling of species geographic distributions[J]. Ecological Modelling,2006,1903/4:231-259.

[61] Saatchi S,Buermann W,Steege H ter,et al. Modeling distribution of Amazonian tree species and diversity using remote sensing measurements[J]. Remote Sensing of Environment,2008,1125:2 000-2 017.

[62] Prates-Clark C D C,Saatchi S S,Agosti D. Predicting geographical distribution models of high-value timber trees in the Amazon Basin using remotely sensed data[J]. Ecological Modelling,2008,2113/4:309-323.

[63] Ingram J C,Dawson T P,Whittaker R J. Mapping tropical forest structure in southeastern Madagascar using remote sensing and artificial neural networks[J]. Remote Sensing of Environment,2005,944:491-507.

[64] Kerr J T,Ostrovsky M. From space to species: Ecological applications for remote sensing[J]. Trends in Ecology & Evolution,2003,186:299-305.

[65] Loreau M,Naeem S,Inchausti P,et al. Ecology-Biodiversity and ecosystem functioning:Current knowledge and future challenges[J]. Science,2001,2945 543:804-808.

[66] Cohen W B,Spies T A,Bradshaw G A. Semivariograms of digital imagery for analysis of conifer canopy structure[J]. Remote Sensing of Environment,1990,343:167-178.

[1] 王忠静,石羽佳,张腾. TRMM遥感降水低估还是高估中国大陆地区的降水?[J]. 地球科学进展, 2021, 36(6): 604-615.
[2] 崔林丽, 史军, 杜华强. 植被物候的遥感提取及其影响因素研究进展[J]. 地球科学进展, 2021, 36(1): 9-16.
[3] 吴佳梅,彭秋志,黄义忠,黄亮. 中国植被覆盖变化研究遥感数据源及研究区域时空热度分析[J]. 地球科学进展, 2020, 35(9): 978-989.
[4] 董治宝,吕萍,李超. 火星风沙地貌研究方法[J]. 地球科学进展, 2020, 35(8): 771-788.
[5] 刘元波, 吴桂平, 赵晓松, 范兴旺, 潘鑫, 甘国靖, 刘永伟, 郭瑞芳, 周晗, 王颖, 王若男, 崔逸凡. 流域水文遥感的科学问题与挑战[J]. 地球科学进展, 2020, 35(5): 488-496.
[6] 刘磊,翁陈思,李书磊,胡帅,叶进,窦芳丽,商建. 太赫兹波被动遥感冰云研究现状及进展[J]. 地球科学进展, 2020, 35(12): 1211-1221.
[7] 李浩杰,李弘毅,王建,郝晓华. 河冰遥感监测研究进展[J]. 地球科学进展, 2020, 35(10): 1041-1051.
[8] WangJingfeng,刘元波,张珂. 最大熵增地表蒸散模型:原理及应用综述[J]. 地球科学进展, 2019, 34(6): 596-605.
[9] 陈泽青,刘诚,胡启后,洪茜茜,刘浩然,邢成志,苏文静. 大气成分的遥感监测方法与应用[J]. 地球科学进展, 2019, 34(3): 255-264.
[10] 冉有华,李新. 中国多年冻土制图:进展、挑战与机遇[J]. 地球科学进展, 2019, 34(10): 1015-1027.
[11] 肖雄新, 张廷军. 基于被动微波遥感的积雪深度和雪水当量反演研究进展[J]. 地球科学进展, 2018, 33(6): 590-605.
[12] 栾海军, 田庆久, 章欣欣, 聂芹, 朱晓玲. 定量遥感地表参数尺度转换研究趋势探讨[J]. 地球科学进展, 2018, 33(5): 483-492.
[13] 宋晓谕, 高峻, 李新, 李巍岳, 张中浩, 王亮绪, 付晶, 黄春林, 高峰. 遥感与网络数据支撑的城市可持续性评价:进展与前瞻[J]. 地球科学进展, 2018, 33(10): 1075-1083.
[14] 王建, 车涛, 李震, 李弘毅, 郝晓华, 郑照军, 肖鹏峰, 李晓峰, 黄晓东, 钟歆玥, 戴礼云, 李红星, 柯长青, 李兰海. 中国积雪特性及分布调查[J]. 地球科学进展, 2018, 33(1): 12-15.
[15] 马晋, 周纪, 刘绍民, 王钰佳. 卫星遥感地表温度的真实性检验研究进展[J]. 地球科学进展, 2017, 32(6): 615-629.
阅读次数
全文


摘要