Measuring and monitoring forest biodiversity: The SI/MAB model

被引:0
|
作者
Dallmeier, F [1 ]
机构
[1] Smithsonian Inst, SIMAB Biodivers Program, Washington, DC 20560 USA
关键词
D O I
暂无
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Over the past decade, the Smithsonian Institution/Man and the Biosphere Biological Diversity Program (SI/MAB) has developed a biodiversity monitoring protocol and refined it through testing at a number of sites. The protocol has been adopted by SI/MAB colleagues and partners around the world, forming the basis for consistent measuring and monitoring at hundreds of biodiversity monitoring plots, facilitating the transfer of comparable data, and providing the framework for data analysis and dissemination to users. Program staff have trained more than 700 participants in the SI/MAB protocol and in use of BioMon (SI/MAB's computerized data management system) at annual six-week international courses and through on-site two-week courses in more than two dozen countries. Staff have also been instrumental in setting up and maintaining international biodiversity information exchange networks. The primary goals of the program - to gather, analyse, and disseminate information about biodiversity at selected forested sites throughout the world and to foster co-operation among researchers and decision-makers - are being met. The outlook for strengthening established networks and expanding the program into new areas is bright.
引用
收藏
页码:15 / 29
页数:15
相关论文
共 50 条
  • [41] Developing indicators for participatory forest biodiversity monitoring systems in South Sumatra
    Neupane, P. R.
    Gauli, A.
    Mundhenk, P.
    Koehl, M.
    INTERNATIONAL FORESTRY REVIEW, 2020, 22 (04) : 464 - 484
  • [42] Monitoring late-successional forest biodiversity in the Pacific Northwest, USA
    Spies, Thomas A.
    Martin, Jon R.
    FORESTRY CHRONICLE, 2006, 82 (03): : 364 - 367
  • [43] Contributions of new remote sensing tools to forest biodiversity assessment and monitoring
    Herrera, B
    Koch, B
    TOWARDS THE SUSTAINABLE USE OF EUROPE'S FORESTS - FOREST ECOSYSTEM AND LANDSCAPE RESEARCH: SCIENTIFIC CHALLENGES AND OPPORTUNITIES, 2004, (49): : 273 - 282
  • [44] Review of monitoring and assessing ground vegetation biodiversity in national forest inventories
    Alberdi, I.
    Condes, S.
    Martinez-Millan, J.
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2010, 164 (1-4) : 649 - 676
  • [45] Contribution of large-scale forest inventories to biodiversity assessment and monitoring
    Corona, Piermaria
    Chirici, Gherardo
    McRoberts, Ronald E.
    Winter, Susanne
    Barbati, Anna
    FOREST ECOLOGY AND MANAGEMENT, 2011, 262 (11) : 2061 - 2069
  • [46] Monitoring forest biodiversity and the impact of climate on forest environment using high-resolution satellite images
    Bochenek, Zbigniew
    Ziolkowski, Dariusz
    Bartold, Maciej
    Orlowska, Karolina
    Ochtyra, Adrian
    EUROPEAN JOURNAL OF REMOTE SENSING, 2018, 51 (01) : 166 - 181
  • [47] A species-habitat-model for the improvement and monitoring of biodiversity in modern ecological silviculture -: Capercaillie (Tetrao urogallus) in the Black Forest
    Suchant, R
    Baritz, R
    CRITERIA AND INDICATORS FOR SUSTAINABLE FOREST MANAGEMENT AT THE FOREST MANAGEMENT UNIT LEVEL, 2001, (38): : 109 - 122
  • [48] Brazilian Forest Dataset: A new dataset to model local biodiversity
    Rios, Ricardo A.
    Rios, Tatiane N.
    Palma, Gabriel R.
    De Mello, Rodrigo F.
    JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 2022, 34 (02) : 327 - 354
  • [49] Progress on incorporating biodiversity monitoring in REDD plus through national forest inventories
    Gillerot, Loic
    Grussu, Giorgio
    Condor-Golec, Rocio
    Tavani, Rebecca
    Dargush, Paul
    Attorre, Fabio
    GLOBAL ECOLOGY AND CONSERVATION, 2021, 32
  • [50] Linking structure and species richness to support forest biodiversity monitoring at large scales
    Storch, Felix
    Boch, Steffen
    Gossner, Martin M.
    Feldhaar, Heike
    Ammer, Christian
    Schall, Peter
    Polle, Andrea
    Kroiher, Franz
    Mueller, Jorg
    Bauhus, Jurgen
    ANNALS OF FOREST SCIENCE, 2023, 80 (01)