Abstract
In the past, the spatial patterns of specimen have not been paid enough attention. In this study, we probed the spatial pattern of plant specimen and its implications in conservation biology in Hengduan Mountains, one of the hotspots of global biodiversity, based on the dataset extracted from Chinese Virtual Herbarium. The results showed that there were big differences of specimen density among the units of the studied area. High specimen density was mainly found in the boundary regions of Northwest Yunnan, Southwest Sichuan and Southeast Tibet, the central part and the southern part of the studied area. The interest of the collectors or botanists was mainly focused on the units with low population density (low disturbance of human activity) and high complexity of topography. With the increase of specimen density, an increasing trend of species density was observed. Most of the units studied were not paid enough attention in the history of specimen collection. If we collected specimen at higher density in blank or marginalized area, we may have much more chances to find more taxonomies. The spatial pattern of specimen density may shape our understanding of the spatial pattern of specie diversity. We should not only inherit specimen from our predecessors, but also, we should probe into specimen repositories to understand biodiversity status and its spatial pattern.
This study was supported by Scientific Foundation of Yunnan (2010CD077).
Chapter PDF
Similar content being viewed by others
Keywords
References
Alberton, O., Kaschuk, G., Hungria, M.: Sampling effects on the assessment of genetic diversity of rhizobia associated with soybean and common bean. J. Soil Biol. Biochem. 38, 1298–1307 (2006)
Bickel, D.J.: What museum collections can reveal about species accumulation, richness, and rarity: an example from the Diptera. In: Ponder, W., Lunney, D. (eds.) The other 99%: the Conservation and Biodiversity of Invertebrates. J. Royal Zoological Society of New South Wales, Mosman, Australia, Mosman, Australia, pp. 174–181 (1999)
Chew, A., Oheim, K.: Teasing apart the effects of taphonomic and sampling bias on species diversity estimates using gis. J. Vertebr Paleontol. 27, 58A (2007)
Chinese Virtual Herbarium: Institute of Botany, Chinese Academy of Sciences, Beijing, http://www.cvh.org.cn (cited March 1, 2010)
Fu, C.Z., Wang, J.X., Pu, Z.C., Zhang, S.L., Chen, H.L., Zhao, B., Chen, J.K., Wu, J.H.: Elevational gradients of diversity for lizards and snakes in the Hengduan Mountains. J. China. Biodivers & Conserv. 16(3), 707–726 (2007)
Greenstreet, S.P.R., Piet, G.J.: Assessing the sampling effort required to estimate alpha species diversity in the groundfish assemblages of the North Sea. J. Mar. Ecol.-Prog. Ser. 364, 181–197 (2008)
Miyamoto, N., Fernandez-Manjarres, J.F., Morand-Prieur, M.E., Bertolino, P., Frascaria-Lacoste, N.: What sampling is needed for reliable estimations of genetic diversity in Fraxinus excelsior L. J. Ann For Sci. 65, 403–410 (2008)
Muirhead, J.R., Gray, D.K., David, W.K., Sandra, M.E., Damiel, D.H., Hugh, J.M.: Identifying the source of species invasions: sampling intensity vs. J. Genetic Diversity. Mol. Ecol. 17, 1020–1035 (2008)
Myers, N., Mittermeier, R.A., Mittermeier, C.G., da Fonseca, G.A.B., Kent, J.: Biodiversity hotspots for conservation priorities. J. Nature 43, 853–858 (2000)
Ponder, W.F., Carter, G.A., Flemons, P., Chapman, R.R.: Evaluation of museum collection data for use in biodiversity assessment. J. Conserv. Biol. 15, 648–657 (2001)
Radim, H.: Is Sampling subjectivity a distorting factor in surveys for vegetation diversity? J. Folia Geobot. 42, 191–198 (2007)
Rudolf, M., Torsten, D.: Significance of Specimen Databases from Taxonomic Revisions for Estimating and Mapping the Global Species Diversity of Invertebrates and Repatriating Reliable Specimen Data. J. Conserv. Biol. 18, 478–488 (2004)
Sherman, R., Mullen, R., Haomin, L., Fang, Z.D., Wang, Y.: Spatial patterns of plant diversity and communities in Alpine ecosystems of the Hengduan Mountains, Northwest Yunnan, China. J. Plant Ecol-UK 1(2), 117–136 (2008)
Soria-Auza, R.W., Kessler, M.: The influence of sampling intensity on the perception of the spatial distribution of tropical diversity and endemism: a case study of ferns from Bolivia. J. Divers Distrib. 14(1), 123–130 (2007)
Sun, H.: Evolution of Arctic-Tertiary Xora in Himalayan-Hengduan Mountains. J. Acta Bot. Yunnan 24, 671–688 (2002)
Van Liefferinge, C., Simoens, I., Vogt, C., Cox, T.J.S., Breine, J., Ercken, D., Goethals, P., Claude, P.M.: Impact of habitat diversity on the sampling effort required for the assessment of river fish communities and IBI. Hydrobiologia 644, 169–183 (2010)
Whitcomb, S., Stutz, J.C.: Assessing diversity of arbuscular mycorrhizal fungi in a local community: role of sampling effort and spatial heterogeneity. J. Mycorrhiza 17, 429–437 (2007)
Wu, Z.Y.: The Hengduan Mountains flora and her significance. J. Jpn. Bot. 63(9), 1–14 (1988)
Yao, Y.H., Zhang, B.P., Han, F., Pang, Y.: Diversity and Geographical Pattern of Altitudinal Belts in the Hengduan Mountains in China. J. Mt Sci. 7(2), 123–132 (2010)
Zhang, D.C., Zhang, Y.H., Boufford, D.E., Sun, H.: Elevational patterns of species richness and endemism for some important taxa in the Hengduan Mountains, southwestern China. Biodivers. Conserv. 18(3), 699–716 (2009)
Zhao, D.H.: Album of Yunnan, 1st edn. Sinomap Press of China, Beijing (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 IFIP International Federation for Information Processing
About this paper
Cite this paper
He, H., Feng, J. (2012). Spatial Pattern of Plant Specimen and Its Implications in Conservation Biology in Hengduan Mountains of Southwest China. In: Li, D., Chen, Y. (eds) Computer and Computing Technologies in Agriculture V. CCTA 2011. IFIP Advances in Information and Communication Technology, vol 369. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27278-3_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-27278-3_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27277-6
Online ISBN: 978-3-642-27278-3
eBook Packages: Computer ScienceComputer Science (R0)