Strict forest nature reserves research in Bavaria - analysis of vegetation data for ecological long-term observation

被引:0
|
作者
Walentowski, Helge [1 ]
Kudernatsch, Thomas [1 ]
Fischer, Anton [2 ]
Ewald, Joerg [3 ]
机构
[1] Bayer Landesanstalt Wald & Forstwirtschaft, Abt Biodiversitat, D-85354 Freising Weihenstephan, Germany
[2] Tech Univ Munich, Wissensch Zentrum Weihenstephan, D-85354 Freising Weihenstephan, Germany
[3] Hsch Weihenstephan Triesdorf HSWT, Fak Wald & Forstwirtschaft, D-85354 Freising Weihenstephan, Germany
来源
TUEXENIA | 2014年 / 34期
关键词
monitoring; permanent plots; phytodiversity; reference data; temperate deciduous forests;
D O I
暂无
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
A recent research concept prioritises 26 out of Bavaria's 159 strict forest nature reserves for long-term observation. In 2013 the first permanent plot sample for ecological studies was established in four of the priority reserves. A total of 24 circular 314 m(2) vegetation plots were located within the large (1 ha) permanent core areas of six priority reserves. The concept for long-term observation of natural forests is presented, pathways of analysis are outlined and exemplified on the basis of the 2013 vegetation data. Because plots are inevitably spatially autocorrelated, they were coupled with a representative reference from the whole of Bavaria. The latter data set comprises 313 plots in strict forest nature reserves which were selected to represent the potential natural vegetation of plots in the 8 x 8 km grid of the "Forest Soil Condition Survey" (BZE II; EWALD 2009). Detrended Correspondence Analysis (DCA) was used to detect gradients of species composition and corresponding plot groupings. Thus, the newly collected plots were classified independently and impartially on the base of their floristic similarity to reference vegetation types. The subsequent characterisation of vegetation types was performed by ordering phytosociological tables. The newly collected data comprise beech forests on limestone (Hordelymo-Fagetum) and on siliceous substrates (Galio- and Luzulo-Fagetum), as well as mixed forests of unstable hillsides (Adoxo-Aceretum) and riverine forests (Pruno-Fraxinetum, Querco-Ulmetum). Post-hoc correlation with Ellenberg indicator values suggested soil reaction and nutrient availability as putative drivers of species turnover along the first axis; species turnover along the second axis was apparently caused by a temperature gradient. While these correlations are congruent between ordinations of the newly collected and the reference data set, the temperature gradient (featuring low Ellenberg temperature values) in the new plots appears as a pseudo-effect due to cultivated conifers. Opportunities for data analysis will gradually increase within the next two decades, and, with the data set of the 26 priority reserves completed, the long-term observation of vegetation dynamics in beech forests as well as at the temperature- and moisture-induced margins of beech distribution will become pivotal.
引用
收藏
页码:89 / 106
页数:18
相关论文
共 50 条
  • [21] AUTOREGRESSIVE TREND ANALYSIS - AN EXAMPLE USING LONG-TERM ECOLOGICAL DATA
    EDWARDS, D
    COULL, BC
    OIKOS, 1987, 50 (01) : 95 - 102
  • [22] LONG-TERM ECOLOGICAL RESEARCH AND THE INVISIBLE PLACE - THE LOCAL TO GLOBAL SPATIAL SCALES OF THE LONG-TERM ECOLOGICAL RESEARCH-PROGRAM
    SWANSON, FJ
    SPARKS, RE
    BIOSCIENCE, 1990, 40 (07) : 502 - 508
  • [23] Interactive visual analysis promotes exploration of long-term ecological data
    Tuan Pham
    Jones, Julia
    Metoyer, Ronald
    Swanson, Frederick
    Pabst, Robert
    ECOSPHERE, 2013, 4 (09):
  • [24] LONG-TERM INFLUENCE OF LARGE FOREST FIRE ON GROUND VEGETATION
    Purina, Liga
    Straupe, Inga
    Liepa, Liga
    Libiete, Zane
    Zadina, Mara
    Jansons, Aris
    RESEARCH FOR RURAL DEVELOPMENT 2016, VOL. 2, 2016, : 28 - 33
  • [25] ILTER - The International Long-Term Ecological Research Network as a Platform for Global Coastal and Ocean Observation
    Muelbert, Jose H.
    Nidzieko, Nicholas J.
    Acosta, Alicia T. R.
    Beaulieu, Stace E.
    Bernardino, Angelo F.
    Boikova, Elmira
    Bornman, Thomas G.
    Cataletto, Bruno
    Deneudt, Klaas
    Eliason, Erika
    Kraberg, Alexandra
    Nakaoka, Masahiro
    Pugnetti, Alessandra
    Ragueneau, Olivier
    Scharfe, Mirco
    Soltwedel, Thomas
    Sosik, Heidi M.
    Stanisci, Angela
    Stefanova, Kremena
    Stephan, Pierre
    Stier, Adrian
    Wikner, Johan
    Zingone, Adriana
    FRONTIERS IN MARINE SCIENCE, 2019, 6
  • [26] The science of nature, the nature of science: Long-term ecological studies at Hubbard Brook
    Likens, GE
    PROCEEDINGS OF THE AMERICAN PHILOSOPHICAL SOCIETY, 1999, 143 (04) : 558 - 572
  • [27] Appraising Research Data for Long-Term Preservation: An Analysis of Research Data Collection Policies
    Kim, Jeonghyun
    Faulkner, James
    Proceedings of the Association for Information Science and Technology, 2021, 58 (01) : 750 - 752
  • [28] Global Vegetation Health: Long-Term Data Records
    Kogan, Felix
    Guo, Wei
    Jelenak, Aleksandar
    USE OF SATELLITE AND IN-SITU DATA TO IMPROVE SUSTAINABILITY, 2011, : 247 - +
  • [29] Selecting networks of nature reserves:: methods do affect the long-term outcome
    Virolainen, KM
    Virola, T
    Suhonen, J
    Kuitunen, M
    Lammi, A
    Siikamäki, P
    PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 1999, 266 (1424) : 1141 - 1146
  • [30] History, Administration, Goals, Value, and Long-Term Data of Russia's Strictly Protected Scientific Nature Reserves
    Spetich, Martin A.
    Kvashnina, Anna E.
    Nukhimovskya, Y. D.
    Rhodes, Olin E., Jr.
    NATURAL AREAS JOURNAL, 2009, 29 (01) : 71 - 78