Exploring large vegetation databases to detect temporal trends in species occurrences

Journal of Vegetation Science

Volumn 22, Issue 6, 2011, Pages 957-972

  Jandt, Ute ^a   von Wehrden, Henrik ^a   Bruelheide, Helge ^b  

^a MARTIN LUTHER UNIVERSITY HALLE WITTENBERG   (Germany)

^b LEUPHANA UNIVERSITY OF LÜNEBURG   (Germany)

Author keywords

Beech forest; Generalized linear model; German Biodiversity Exploratories; German Vegetation Reference Database (GVRD); Semi dry grassland

Indexed keywords

BIODIVERSITY; DATA SET; DATABASE; DECIDUOUS FOREST; FREQUENCY ANALYSIS; GRASSLAND; HABITAT CONSERVATION; HABITAT LOSS; LINEARITY; NITROGEN; NUMERICAL MODEL; PLANT; RECRUITMENT (POPULATION DYNAMICS); SEMIARID REGION; SHRUB; SPECIES OCCURRENCE; TAXONOMY; TEMPORAL VARIATION; VEGETATION STRUCTURE; VEGETATION TYPE;

GERMANY;

FAGUS;

EID: 80053561816     PISSN: 11009233     EISSN: 16541103     Source Type: Journal    
DOI: 10.1111/j.1654-1103.2011.01318.x     Document Type: Article

References (68)

1. Akaike, H. 1978. A Bayesian analysis of the minimum AIC procedure. Annals of the Institute of Statistical Mathematics 30: 9-14.
2. Bekker, R.M., van der Maarel, E., Bruelheide, H. & Woods, K. 2007. Long-term datasets: from descriptive to predictive data using eco-informatics. Journal of Vegetation Science 18: 458-462.
3. Bennie, J., Hill, M.O., Baxter, R. & Huntley, B. 2006. Influence of slope and aspect on long-term vegetation change in British chalk grasslands. Journal of Ecology 94: 355-368.
4. Berendsohn, W.G., Anagnostopoulos, A., Hagedorn, G., Jakupovic, J., Nimis, P.L., Valdés, B., Güntsch, A., Pankhurst, R.J. & White, R.J. 1999. A comprehensive reference model for biological collections and surveys. Taxon 48: 511-562.
5. Bernhardt-Römermann, M., Römermann, C., DePatta Pillar, V., Kudernatsch, T. & Fischer, A. 2010. High functional diversity is related to high nitrogen availability in a deciduous forest - evidence from a functional trait approach. Folia Geobotanica 45: 111-124.
6. Bobbink, R. & Willems, J.H. 1987. Increasing dominance of Brachypodium pinnatum (L.) Beauv. in chalk grasslands: a threat to a species-rich ecosystem. Biological Conservation 40: 301-314.
7. Bobbink, R., Hicks, K., Galloway, J., Spranger, T., Alkemade, R., Ashmore, M., Bustamante, M., Cinderby, S., Davidson, E., Dentener, F., Emmett, B., Erisman, J.-W., Fenn, M., Gilliam, F., Nordin, A., Pardo, L. & De Vries, W. 2010. Global assessment of nitrogen deposition effects on terrestrial plant diversity: a synthesis. Ecological Applications 20: 30-59.
8. Botta-Dukat, Z., Kovacs-Lang, E., Redei, T., Kertesz, M. & Garadnai, J. 2007. Statistical and biological consequences of preferential sampling in phytosociology: theoretical considerations and a case study. Folia Geobotanica 42: 141-152.
9. Bouman, T.O. 1991. Quantitative Aspekte der Waldernährung in Forststandorten mit Bodenversauerung und anthropogener Immissionsbelastung - dargestellt am Beispiel des Westharzes. Forschungszentrum Waldökosysteme Universität Göttingen, Reihe A 65: 1-171.
10. Briemle, G. & Ellenberg, H. 1994. Zur Mahdverträglichkeit von Grünlandpflanzen. Möglichkeiten der praktischen Anwendung von Zeigerwerten. Natur und Landschaft 69: 139-147.
11. Briemle, G., Nietsche, S. & Nietsche, L. 2002. Nutzungswertzahlen für Gefäßpflanzen des Grünlandes. Schriftenreihe für Vegetationskunde 38: 203-225.
12. Bürger, R. 1984. Successional limestone grassland communities of the Kaiserstuhl with regard to their conservation management. In: Géhu, J.M. (ed.) La végétation des pelouses calcaires. pp. 405-419. Colloques phytosociologiques 1982, Ganter, Vaduz, LI.
13. Chytrý, M. & Rafajová, M. 2003. Czech national phytosociological database: basic statistics of the available vegetation-plot data. Preslia 75: 1-15.
14. Clark, C.M., Cleland, E.E., Collins, S.L., Fargione, J.E., Gough, L., Gross, K.L., Pennings, S.C., Suding, K.N. & Grace, J.B. 2007. Environmental and plant community determinants of species loss following nitrogen enrichment. Ecology Letters 10: 596-607.
15. Dengler, J., Chytrý, M. & Ewald, J. 2008. Phytosociology. In: Jørgensen, S.E. & Fath, B.D. (eds.) Encyclopedia of ecology. Vol. 4, General Ecology, pp. 2767-2779. Elsevier, Oxford, UK.
16. Diekmann, M. & Dupré, C. 1997. Acidification and eutrophication of deciduous forests in northwestern Germany demonstrated by indicator species analysis. Journal of Vegetation Science 8: 855-864.
17. Ellenberg, H., Weber, H.E., Düll, R., Wirth, V., Werner, W. & Paulissen, D. (eds.) 1992. Zeigerwerte von Pflanzen in Mitteleuropa. (2nd edition). Scripta Geobotanica 18: 1-258.
18. Ewald, J. 2005. Pflanzensoziologie als Beitrag zur Biodiversitätsinformatik. Tuexenia 25: 475-483.
19. Farrell, E.P., Führer, E., Ryan, D., Andersson, F., Hüttl, R. & Piussi, P. 2000. European forest ecosystems: building the future on the legacy of the past. Forest Ecology and Management 132: 5-20.
20. Fischer, A. 1999. Floristical changes in Central European forest ecosystems during the past decades as an expression of changing site conditions. In: Karjalainen, T., Spiecker, H. & Laroussinie, O. (eds.) Causes and consequences of accelerating tree growth in Europe. European Forest Institute Proceedings. 27: 53-64.
21. Fischer, M., Kalko, E.K.V., Linsenmair, K.E., Pfeiffer, S., Prati, D., Schulze, E.D. & Weisser, W.W. 2010. Exploratories for large-scale and long-term functional biodiversity research. In Müller, F., Baessler, C., Schubert, H. & Klotz, S. (eds.) Long-term ecological research - between theory and application. pp. 429-443. Springer, Dordrecht, NL.
22. Grime, J.P. 1979. Plant strategies and vegetation processes. John Wiley & Sons, Chichester, UK.
23. Gurevitch, J. & Hedges, L.V. 2001. Meta-analysis: combining the results of independent experiments. In: Gurevitch, J. & Scheiner, S.M. (eds.) Design and analysis of ecological experiments. pp. 347-369. Oxford University Press, Oxford, UK.
24. Guthörl, V. 1994. Zusammenhänge zwischen der Populationsdichte des Rehwildes (Capreolus capreolus, Linné 1758) und dem Verbißdruck auf die Waldvegetation. Zeitschrift für Jagdwissenschaft 40: 122-136.
25. Hagen, T. 1996. Vegetationsveränderungen in Kalk-Magerrasen des Fränkischen Jura. Laufener Forschungsberichte 4. ANL Laufen/Salzach.
26. Härdtle, W. 1995. On the theoretical concept of the potential natural vegetation and proposals for an up-to-date modification. Folia Geobotanica 30: 263-276.
27. Havemann, R. & Janssen, J.A.M. 2008. The analysis of long-term changes in plant communities using large databases: the effect of stratified resampling. Journal of Vegetation Science 19: 355-362.
28. Hennekens, S.M. & Schaminée, J.H.J. 2001. TURBOVEG, a comprehensive database management system for vegetation data. Journal of Vegetation Science 12: 589-591.
29. Hughes, L. 2000. Biological consequences of global warming: is the signal already apparent? Trends in Ecology and Evolution 15: 56-61.
30. Jacquemyn, H., Brys, R. & Hermy, M. 2003. Short-term effects of different management regimes on the response of calcareous grassland vegetation to increased nitrogen. Biological Conservation 111: 137-147.
31. Jäger, E.J. & Werner, K. (eds) 2002. Rothmaler, Exkursionsflora von Deutschland. Gefäßpflanzen: Kritischer Band. Spektrum, Berlin, DE.
32. Jandt, U. 1999. Kalkmagerrasen am Südharzrand und im Kyffhäuser. Gliederung im überregionalen Kontext, Verbreitung, Standortsverhältnisse und Flora. Dissertationes Botanicae 322: 1-246.
33. Jansen, F. & Dengler, J. 2010. Plant names in vegetation databases - a neglected source of bias. Journal of Vegetation Science 21: 1179-1186.
34. Jönsson, A.M., Harding, S., Bärring, L. & Ravn, H.P. 2007. Impacts of climate change on the population dynamics of Ips typographus in southern Sweden. Agricultural and Forest Meteorology 146: 70-81.
35. Kathke, S. & Bruelheide, H. 2010. Gap dynamics in a near-natural spruce forest at Mt. Brocken, Germany. Forest Ecology and Management 259: 624-632.
36. Kesting, S., Wrage, N. & Isselstein, J. 2009. Herbage mass and nutritive value of herbage of extensively managed temperate grasslands along a gradient of shrub encroachment. Grass and Forage Science 64: 246-254.
37. Klotz, S., Kühn, I. & Durka, W. 2002. BIOLFLOR - Eine Datenbank mit biologisch-ökologischen Merkmalen zur Flora von Deutschland. Schriftenreihe für Vegetationskunde 38: 1-334.
38. Knollová, I., Chytrý, M., Tichý, L. & Hájek, O. 2005. Stratified resampling of phytosociological databases: some strategies for obtaining more representative data sets for classification studies. Journal of Vegetation Science 16: 479-486.
39. Knollová, I., Chytrý, M., Tichý, L. & Hájek, O. 2006. Local ranges of phytosociological associations: are they reflected in numerical classifications? Biologia 61: 71-77.
40. Köhler, B., Gigon, A., Edwards, P.J., Krüsi, B., Langenauer, R., Lüscher, A. & Ryser, P. 2005. Changes in the species composition and conservation value of limestone grasslands in Northern Switzerland after 22 years of contrasting managements. Perspectives in Plant Ecology, Evolution and Systematics 7: 51-67.
41. Kreutzer, K. 1995. Effects of forest liming on soil processes. Plant and Soil 168-169: 447-470.
42. Kuijper, D.P.J., Jedrzejewska, B., Brzeziecki, B., Churski, M., Jedrzejewski, W. & Zybura, H. 2010. Fluctuating ungulate density shapes tree recruitment in natural stands of the Bialowieza Primeval Forest, Poland. Journal of Vegetation Science 21: 1082-1098.
43. Lenoir, J., Gégout, J.C., Dupouey, J.L., Bert, D. & Svenning, J.-C. 2010. Forest plant community changes during 1989-2007 in response to climate warming in the Jura Mountains (France and Switzerland). Journal of Vegetation Science 21: 949-964.
44. Louault, F., Pillar, V.D., Aufrère, J., Garnier, E. & Soussana, J.-F. 2005. Plant traits and functional types in response to reduced disturbance in a semi-natural grassland. Journal of Vegetation Science 16: 151-160.
45. Maskell, L.C, Smart, S.M., Bullock, J.M., Thompson, K. & Stevens, C.J. 2010. Nitrogen deposition causes widespread loss of species richness in British habitats. Global Change Biology 16: 671-679.
46. Michalcová, D., Lvončík, S., Chytrý, M. & Hájek, O. 2011. Bias in vegetation databases? A comparison of stratified-random and preferential sampling. Journal of Vegetation Science 22: 281-291.
47. Mucina, L., Rodwell, J.S., Schaminée, J.H.J. & Dierschke, H. 1993. European vegetation survey: current state of some national programmes. Journal of Vegetation Science 4: 429-438.
48. Mucina, L., Schaminée, J.H.J. & Rodwell, J.S. 2000. Common data standards for recording relevés in field survey for vegetation classification. Journal of Vegetation Science 11: 769-772.
49. Otýpková, Z. & Chytrý, M. 2006. Effects of plot size on the ordination of vegetation samples. Journal of Vegetation Science 17: 465-472.
50. Parmesan, C. & Yohe, G. 2004. A globally coherent fingerprint of climate change impacts across natural systems. Nature 421: 37-42.
51. *master site Schrankogel, Tyrol, Austria. Global Change Biology 13: 147-156.
52. Pflume, S. 1999. Laubwaldgesellschaften im Harz, Gliederung, Ökologie, Verbreitung. Archiv Naturwissenschaftlicher Dissertationen 9: 1-238.
53. Podani, J. 2005. A new multivariate approach to studying temporal changes of vegetation. Plant Ecology 181: 85-100.
54. Podani, J. 2006. Braun-Blanquet's legacy and data analysis in vegetation science. Journal of Vegetation Science 17: 113-117.
55. Riehl, G. 1968. Die Forstwirtschaft im Oberharzer Bergbaugebiet von der Mitte des 17. bis zum Ausgang des 19. Jahrhunderts. Aus dem Walde 15: 1-243.
56. Roback, P.J. & Askins, R.A. 2005. Judicious use of multiple hypothesis tests. Conservation Biology 19: 261-267.
57. Rodwell, J.S., Pignatti, S., Mucina, L. & Schaminée, J.H.J. 1995. European vegetation survey: update on progress. Journal of Vegetation Science 6: 759-762.
58. Roleček, J., Chytrý, M., Hájek, M., Lvončík, S. & Tichý, L. 2007. Sampling design in large-scale vegetation studies: do not sacrifice ecological thinking to statistical purism!. Folia Geobotanica 42: 199-208.
59. Rost-Siebert, K. & Jahn, G. 1988. Veränderungen der Waldbodenvegetation während der letzten Jahrzehnte - Eignung zur Bioindikation von Immissionswirkungen? Forst und Holz 43: 75-81.
60. Schaffers, A.P. & Sýkora, K.V. 2000. Reliability of Ellenberg indicator values for moisture, nitrogen and soil reaction: a comparison with field measurements. Journal of Vegetation Science 11: 225-244.
61. Schaminée, J.H.J., Hennekens, S.M., Chytry, M. & Rodwell, J.S. 2009. Vegetation-plot data and databases in Europe: an overview. Preslia 81: 173-185.
62. Schreiber, K.F. 1997. Characteristics of succession in 20 years' abandoned grassland studies in Baden-Württemberg. Forstwissenschaftliches Centralblatt 116: 243-258.
63. Seidl, R., Rammer, W., Jäger, D. & Lexer, M.J. 2008. Impact of bark beetle (Ips typographus L.) disturbance on timber production and carbon sequestration in different management strategies under climate change. Forest Ecology and Management 256: 209-220.
64. Sykes, J.M, Horill, A.D. & Mountford, M.D. 1983. Use of visual cover assessments as qualitative estimators of some British woodland taxa. Journal of Ecology 71: 437-450.
65. Tüxen, R. 1956. Die heutige potentielle natürliche Vegetation als Gegenstand der Vegetationskartierung. Angewandte Pflanzensoziologie 13: 5-42.
66. Van Hees, W.W.S. & Mead, B.R. 2000. Ocular estimates of understory vegetation structure in a closed Picea glauca/Betula papyrifera forest. Journal of Vegetation Science 11: 195-200.
67. Wilmanns, O. & Bogenrieder, A. 1987. Zur Nachweisbarkeit und Interpretation von Vegetationsveränderungen. Verhandlungen der Gesellschaft für Ökologie 16: 35-44.
68. Wisskirchen, R. & Haeupler, H. 1998. Standardliste der Farn- und Blütenpflanzen Deutschlands. In: Haeupler, H. (ed.) Die Farn- und Blütenpflanzen Deutschlands 1. Ulmer, Stuttgart, DE. 765 pp.