Zastosowanie analizy skupień do rozróżnienia tendencji zmian roślinności na przykładzie dynamiki zbiorowisk po pożarze dolnym w zbiorowisku Peucedano-Pinetum w Kampinoskim Parku Narodowym

• Autorzy: Zaniewski P.T. , Zaniewska E. , Matuszkiewicz J.M.

Warianty tytułu

EN

Application of cluster analysis to distinguish the tendencies of vegetation changes on the example of the dynamics of communities affected by surface fire in the Peucedano-Pinetum community in the Kampinoski National Park

• Języki publikacji: PL

Abstrakty

EN

The dynamics of plant communities is an important issue for sustainable forest management. In case of several parallel dynamic tendencies occurring within a group of research objects similar to each other, their demarcation may be difficult. The aim of the research was to check the applicability of numerical classification to distinguish the dynamic trends of plant communities on the example of multidirectional reaction of oligotrophic pine forest Peucedano−Pinetum W. Mat. (1962) 1973 to surface fire. The research was conducted in the post−fire site originated in spring 2015 in the Kampinoski National Park (central Poland). The set of 45 permanent plots was established. They differed in the degree of disturbance, measured as the share of the total burnout of the soil organic horizon. The phytosociological survey was carried out every year between 2015 and 2018, using the Londo scale. The use of cluster analysis for classification of vegetation changes requires an uniform unit for each of the variables. It was expressed as the ratio of the difference between the positions of the research plots (registered vegetation states) in the indirect space of the ordination analysis and the time elapsed between them. Thus the subject of the classification were the multidimensional changes (beta diversity) expressed in the unit of speed. The obtained material was arithmetically transformed and ordered using the PCoA method with the Bray−Curtis distance. The range of changes was calculated as differences in the plot position in three annual intervals separately for each of the four main gradients of the ordination. The 12 annual change values obtained for each of the plot were subjected to Ward classification. In order to verify the nature of the obtained clusters, collective covers of species belonging to higher syntaxones were calculated and their changes during the research period compared using the Kruskal−Wallis and Mann−Whitney tests. The significance of differences in the degree of initial disturbance was also checked. On the basis of the Ward classification, the division into five dynamic groups of plots was obtained. An analysis of the changes in the coverage of higher syntaxonomic groups revealed the existence of statistically significant differences between the clusters in 55 out of 110 possible cases. The presence of significant differences in the initial degree of disturbance by fire was also noted. The studied plot groups represent the regeneration process (A and B), pine forest regression combined with secondary succession (groups C and D) and the control group – not−disturbed pine forest (E). The cluster analysis method was proved to be an effective tool for classifying objects in terms of different tendencies of vegetation dynamic.

Słowa kluczowe

PL

lesnictwo; parki narodowe; Kampinoski Park Narodowy; zbiorowisko Peucedano-Pinetum; pozary przyziemne; drzewostany popozarowe; dynamika zbiorowisk; regeneracja fitocenoz; sukcesja wtorna; analiza skupien; metoda Warda

• Wydawca: -
• Czasopismo: Sylwan
• Rocznik: 2019
• Tom: 163
• Numer: 11
• Opis fizyczny: s.924-935,rys.,tab.,bibliogr.

Twórcy

autor

Zaniewski P.T.

• Samodzielny Zakład Botaniki Leśnej, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie, ul.Nowoursynowska 159, 02-776 Warszawa

autor

Zaniewska E.

• Katedra Ochrony Środowiska, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie, ul.Nowoursynowska 159, 02-776 Warszawa

autor

Matuszkiewicz J.M.

• Katedra Geografii Fizycznej, Uniwersytet Warszawski, ul.Krakowskie Przedmieście 30, 00-927 Warszawa

Bibliografia

• Brzeziecki B., Pommerening A., Miścicki S., Drozdowski S., Żybura H. 2016. A Common Lack of Demographic Equilibrium among Tree Species in Białowieża National Park (NE Poland): Evidence from Long-Term Plots. Journal of Vegetation Science 27 (3): 460-69. DOI: https://doi.org/10.1111/jvs.12369.
• Chytrý M., Tichý L., Hennekens S. M., Schaminée J. H. J. 2014. Assessing Vegetation Change Using Vegetation-Plot Databases: A Risky Business. Applied Vegetation Science 17 (1): 32-41. DOI: https://doi.org/10.1111/avsc.12050.
• Ciurzycki W., Brzeziecki B., Zaniewski P. T., Keczyński A. 2018. Zmiany leśnych zbiorowisk roślinnych w latach 1959-2016 na stałej powierzchni badawczej w oddziale 319 Białowieskiego Parku Narodowego. Sylwan 162 (11): 907-14. DOI: https://doi.org/10.26202/sylwan.2018138.
• Durak T. 2010. Long-Term Trends in Vegetation Changes of Managed versus Unmanaged Eastern Carpathian Beech Forests. Forest Ecology and Management 260 (8): 1333-1344. DOI: https://doi.org/10.1016/j.foreco.2010.07.026.
• Durak T., Durak R. 2015. Vegetation changes in meso- and eutrophic submontane oak-hornbeam forests under long-term high forest management. Forest Ecology and Management 354: 206-214. DOI: https://doi.org/10.1016/ j.foreco.2015.06.017.
• Faliński J. B. 1988. Succession, regeneration and fluctuation in the Białowieża Forest (NE Poland). Vegetatio 77: 115-28. DOI: https://doi.org/10.1007/BF00045757.
• Faliński J. B. 1991. Procesy ekologiczne w zbiorowiskach leśnych. Phytocoenosis 3 (N.S.), Sem. Geobot. 1: 17-41.
• Faliński J. B. 2001. Przewodnik do długoterminowych badań ekologicznych. Vademecum Geobotanicum. Wydawnictwo Naukowe PWN, Warszawa.
• Folke C., Carpenter S., Elmqvist T., Gunderson L., Holling C. S., Walker B., Bengtsson J., Berkes F., Colding J., Danell K., Falkenmark M., Gordon L., Kasperson R., Kautsky N., Kinzig A., Levin S., Karl-Göran M., Moberg F., Ohlsson L., Ostrom E., Reid W., Rockström J., Savenije H., Svedin U. 2002. Resilience and sustainable development: Building adaptive capacity in a world of transformations. Scientific background paper on resilience for the process of The World Summit on Sustainable Development on behalf of The Environmental Advisory Council to the Swedish Government. Edita Norstedts Tryckeri AB, Stockholm.
• Gierczyk B., Szczepkowski A., Kujawa A., Ślusarczyk T. 2019. Contribution to the knowledge of fungi of the Kampinos National Park (Poland). Part 2. Acta Mycologica 54 (1): 1116. DOI: https://doi. org/10.5586/am.1116.
• Gierczyk B., Szczepkowski A., Kujawa A., Ślusarczyk T., Zaniewski P. 2017. Contribution to the Knowledge of Fungi of the Kampinos National Park (Poland) with Particular Emphasis on the Species Occurring in Burnt Places. Acta Mycologica 52 (1): 1093. DOI: https://doi.org/10.5586/am.1093.
• Gower J. C. 1966. Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika 53 (3-4): 325-38. DOI: https://doi.org/10.1093/biomet/53.3-4.325.
• De Grandpré L., Gagnon L., Bergeron Y. 1993. Changes in the understory of Canadian southern boreal forest after fire. Journal of Vegetation Science 4 (6): 803-810. DOI: https://doi.org/10.2307/3235618.
• Halpern C. B. 1988. Early successional pathways and the resistance and resilience of forest communities. Ecology 69 (6): 1703-1715. DOI: https://doi.org/10.2307/1941148.
• Hammer Ř., Harper D. A. T., Ryan P. D. 2001. PAST: Paleontological Statistics Software Package for Education and Data Analysis. Paleontologia Electronica 4 (1): 9.
• Hédl R., Bernhardt-Römermann M., Grytnes J.A., Jurasinski G., Ewald J. 2017. Resurvey of Historical Vegetation Plots: A Tool for Understanding Long-Term Dynamics of Plant Communities. Applied Vegetation Science 20 (2): 161-63. DOI: https://doi.org/10.1111/avsc.12307.
• Ivanova A. A., Kopylova-Guskova E. O., Shipunov A. B., Volkova P. A. 2014. Post fires succession in the northern pine forest in Russia: a case study. Wulfenia 21: 119-128.
• Kapfer J., Hédl R., Jurasinski G., Kopecký M., Schei F. H., Grytnes J. A. 2017. Resurveying Historical Vegetation Data – Opportunities and Challenges. Applied Vegetation Science 20 (2): 164-171. DOI: https://doi.org/10.1111/avsc.12269.
• Kącki Z., Czarniecka M., Swacha G. 2013. Statistical Determination of Diagnostic, Constant and Dominant Species of the Higher Vegetation Units of Poland. Monographiae Botanicae 103: 1-267. DOI: https://doi.org/10.5586/ mb.2013.001.
• Kopecký M., Macek M. 2015. Vegetation resurvey is robust to plot location uncertainty. Diversity and Distributions 21 (3): 322-30. DOI: https://doi.org/10.1111/ddi.12299.
• Kurowski J. K. 2007. Procesy syndynamiczne w zbiorowiskach leśnych wywołane odwodnieniem siedlisk. Leś. Pr. Bad. 2: 27-44.
• Legendre P., Legendre L. 1998. Numerical Ecology. Second English Edition. T. 20. Developments in environmental modelling. Elsevier. Amsterdam – Boston – London – New Yourk – Oxford – Paris – San Diego – San Francisco – Singapore – Sydney – Tokyo.
• Londo G. 1976. The Decimal Scale for Releves of Permanent Quadrats. Vegetatio 33 (1): 61-64. DOI: https://doi.org/ 10.1007/BF00055300.
• Marozas V., Armolaitis K., Aleinikovienë J. 2013. Changes of ground vegetation, soil chemical properties and microbiota following the surface fires in Scots pine forests. Journal of Environmental Engineering and Landscape Management 21 (1): 67-75. DOI: https://doi.org/10.3846/16486897.2012.663087.
• Matuszkiewicz J. M. [red.]. 2007. Geobotaniczne rozpoznanie tendencji rozwojowych zbiorowisk leśnych w wybra-nych regionach Polski. Monografie 8. IGiPZ PAN, Warszawa.
• Matuszkiewicz W. 2008. Przewodnik do oznaczania zbiorowisk roślinnych Polski. Wydawnictwo Naukowe PWN, Warszawa.
• Niklasson M., Zin E., Zielonka T., Feijen M., Korczyk A. F., Churski M., Samojlik T., Jędrzejewska B., Gutowski J. M., Brzeziecki B. 2010. A 350-year tree-ring fire record from Białowieża Primeval Forest, Poland: implications for Central European lowland fire history. Journal of Ecology 98: 1319-1329. DOI: https://doi.org/ 10.1111/j.1365-2745.2010.01710.x.
• Nowak A. 2014. Rola odporności środowiska w planowaniu przestrzennym. Problemy Ekologii Krajobrazu 37: 7-14.
• Olaczek R. 1972. Formy antropogenicznej degeneracji leśnych zbiorowisk roślinnych w krajobrazie rolniczym Polski. Wyd. Uniwersytetu Łódzkiego, Łódź.
• Olaczek R. 1974. Kierunki degeneracji fitocenoz leśnych i metody ich badania. Phytocoenosis 3 (3/4): 179-190.
• Seidl R., Fernandes P. M., Fonseca T. F., Gillet F., Jönsson A. M., Merganičová K., Netherer S., Arpaci A., Bontemps J. D., Bugmann H., González-Olabarria R., Lasch P., Meredieu C., Moreira F., Schelhass M. J., Mohren F. 2011. Modelling natural disturbances in forest ecosystems: a review. Ecological Modelling 222 (4): 903-924. DOI: https://doi.org/10.1016/j.ecolmodel.2010.09.040.
• Šomšák L., Dlapa P., Kollár J., Kubíček F., Šimonovič V., Janitor A., Kanka R., Šimkovic I. 2009. Fire impact on the secondary pine forest and soil in the Borská Nížina Lowland (SW Slovakia). Ekológia (Bratislava) 28 (1): 52-65. DOI: https://doi.org/10.4149/ekol_2009_01_52.
• Stefańska-Krzaczek E., Fałtynowicz W., Szypuła N., Kącki Z. 2018. Diversity Loss of Lichen Pine Forests in Poland. European Journal of Forest Research 137 (4): 419-31. DOI: https://doi.org/10.1007/s10342-018-1113-4.
• Szwagrzyk J. 2004. Sukcesja leśna na gruntach porolnych: stan obecny, prognozy i wątpliwości. Sylwan 148 (4): 53-59. DOI: https://doi.org/10.26202/sylwan.2004091.
• Tüxen R., Ellenberg H. 1937. Der systematische und ökologische Gruppenvert. Ein Beitrag zur Begriffsbildung und Methodik der Pflanzensoziologie. Mitt. Florist.-Soziol. Arbeitsgem 3: 171-84.
• Tyburski Ł., Zaniewski P. T., Bolibok L., Piątkowski M., Szczepkowski A. 2019. Scots Pine Pinus sylvestris mortality after surface fire in oligotrophic pine forest Peucedano-Pinetum in Kampinos National Park. Folia Forestalia Polonica A, Forestry 61: 51-57.
• Vacek S., Černý T., Vacek Z., Podrázský V., Mikeska M., Králíček I. 2017. Long-term changes in vegetation and site conditions in beech and spruce forests of lower mountain ranges of Central Europe. Forest Ecology and Management 398: 75-90. DOI: https://doi.org/10.1016/j.foreco.2017.05.001.
• Ward J. H. 1963. Hierarchical Grouping to Optimize an Objective Function. Journal of the American Statistical Association 58 (301): 236-44. DOI: https://doi.org/10.1080/01621459.1963.10500845.
• Zaniewski P. T., Potoczny B., Matuszkiewicz J. M. 2016. Modelowanie trwałości boru chrobotkowego Cladonio-Pinetum Juraszek 1927 na terenie Parku Narodowego „Bory Tucholskie” z wykorzystaniem metody powtórzonej chronosekwencji. Sylwan 160 (5): 397-406. DOI: https://doi.org/10.26202/sylwan.2015148.
• Zaniewski P. T., Otręba A. 2017. Reakcja roślinności runa na pożar pokrywy gleby w zespole Peucedano-Pinetum W. Mat. (1962) 1973 w Kampinoskim Parku Narodowym. Sylwan 161 (12): 991-1001. DOI: https://doi.org/10.26202/ sylwan.2017089.
• Zarzycki K., Trzińska-Tacik H., Różański W., Szeląg Z., Wołek J., Korzeniak U. 2002. Ecological indicator values of vascular plants of Poland. Biodiversity of Poland. W. Szafer Institute of Botany, Polish Academy of Sciences, Kraków.
• Zasady hodowli lasu. 2012. CILP, Warszawa.

Identyfikatory

DOI

10.26202/sylwan.2019063