Predicting the potential distribution of plant diversity in the Yakarigókdere forest district of the Mediteranean region

• Autorzy: Özkan K. , Berger U.
• Języki publikacji: EN

Abstrakty

EN

Biodiversity is of crucial importance for ecosystem health and functioning. It is thus one of the most important topics in forest ecology. This study focuses on modelling the spatial distribution of vascular plant diversity (H), richness (S) and evenness (E) in the Yukarıgökdere forest district (14667 ha) located in transition zone between Mediterranean and continental climates in the Mediterranean region, Turkey. Species abundance was sampled at 95 sample plots extending from 1000 to 1900 m a.s.l. in order to calculate the response variables (H, S, E). Climatic and topographical data served as explanatory variables. Multiple regression (ML) and classification and regression tree technique (CART) were used to obtain the distribution models of response variables. The better results were provided by CART. That is why visual assessments of the predicted values of the response variables based on (CART) were performed. The explained variances of the model trees were 63.4, 63.1 and 44.5% for H, S and E respectively. Elevation was found to be the most important environmental factor for all response variables. The higher H and S values were found at the east lower part (1000-1150 m a.s.l.) and the west upper part (1500–1800 m a.s.l.) of the district. The evenness (E) shows generally higher relative values in the upper part of the area. The lowest E specifies the area being optimal for tree growing. It is located between 1400 and 1500 m a.s.l., and ranges from the north to the south in the district.

Słowa kluczowe

EN

abiotic factors; classification and regression tree technique; distribution modelling; mediterranean ecosystems; species diversity

PL

czynniki abiotyczne; klasyfikacja; regresja; drzewo; model rozkładu; ekosystemy śródziemnomorskie; różnorodność gatunkowa

• Wydawca: Museum and Institute of Zoology, Polish Academy of Sciences
• Czasopismo: Polish Journal of Ecology
• Rocznik: 2014
• Tom: Vol. 62, nr 3
• Strony: 441--454
• Opis fizyczny: Bibliogr. 56 poz., il.

Twórcy

autor

Özkan K.

• Suleyman Demirel University, Faculty of Forestry, Department of Forest Engineering, Division of Soil Science and Ecology, 32260 Isparta, Turkey

autor

Berger U.

• Institute of Forest Growth and Forest Computer Sciences, TU Dresden, P.O. 1117, 01735 Tharandt, Germany

Bibliografia

• 1. Aertsen W., Kint V., Orshoven J., Özkan K., Muys B. 2010 – Comparison and ranking of different modelling techniques for prediction of site index in Mediterranean mountain forests – Ecol. Model. 221: 1119–1130.
• 2. Araújo M.B., Thuiller W., Williams P.H., Reginster I. 2005 – Downscaling European species atlas distribution to a finer resolution: implications for conservation planning - Global. Ecol. Biogeogr. 14: 17–30.
• 3. Atalay I. 1987 – The ecological conditions of the natural occurrence areas of cedar (Cedrus libani A. Rich.) and regioning of seed transfer of cedar in Turkey – Forest Ministry Press, Ankara, Turkey, 663/61 167 pp.
• 4. Breiman L., Friedman J., Olshen R., Stone C. 1984 – Classification and Regression Trees – CRC Press, Boca Raton, Florida.
• 5. Burke A., Esler K.J., Pienaar E., Barnard P. 2003 – Species Richness and Floristic Relationships between Mesas and Their Surroundings in Southern African Nama Karoo – Diversity and Distribution 9: 43–53.
• 6. Chandra J., Rawat V.S., Rawat Y.S., Ram J. 2010 – Vegetational diversity along an altitudinal range in Garhwal Himalaya – Int. J. of Biodiv. Conserv. 2: 14–18.
• 7. Chang-Fu H., Zueng-Sang C., Yueh-Mei H., Kuoh-Chieng Y., Tsung-Hsin H. 1998 – Altitudinal zonation of evergreen broad-leaved forest on Mount Lopei, Taiwan – J. Veget. Sci. 9: 201–212.
• 8. Chu C., Tsai B., Chang K. 2009 – Integrating decision tree and spatial cluster analysis for landslide susceptibility zonation – World. Acad. Sci. Eng. Tech. 59: 479–483.
• 9. Corona P., Scotti R., Tarchiani N. 1998. Relationship between environmental factors and site index in Douglas-fir plantations in central Italy – Forest. Ecol. Manag. 110: 195–207.
• 10. Crawley M.J. 2002 – Statistical computing. An introduction to data analysis using S-Plus – John Wiley & Sons, New York, 761 pp.
• 11. De’ath G., Fabricius K.E. 2000 – Classification and regression trees: a powerful yet simple technique for ecological data analysis - Ecology, 11: 3178–3192.
• 12. de Lamo X., Sebastiá M.T. 2006 – Role of biogeographical, ecological and management factors on plant diversity in grasslands – Grassland Science in Europe 11: 832–834.
• 13. Drapeau P., Leduc A., Giraux J.F. 2000 – Landscape-scale disturbances and changes in bird communities of boreal mixed-wood forests - Ecol. Monogr. 70: 423–444.
• 14. Drummond S.T., Sudduth K.A., Joshi A., Birrell S.J., Kitchen N.R. 2003 – Statistical and neural methods for site-specific yield prediction – Transactions of the ASAE, 46: 5–14.
• 15. Dufour A., Gadallah F., Wagner H.H., Guisan A., Buttler A. 2006 - Plant species richness and environmental heterogeneity in a mountain landscape: effect of variability and spatial configuration – Ecography, 29: 573–584.
• 16. Dutoit T., Buisson E., Gerboud E., Roche P., Tatoni T. 2007 – The status of transitions between cultivated fields and their boundaries: ecotones, ecoclines or edge effects? Acta. Oecol. 31: 127–136.
• 17. Fakir H., Gundogdu E., Senturk O. 2009 - Mapping of fauna and flora in functional planning based on geographical information systems: A case study from Yukarıgökdere, Isparta, Turkey – Fresenius Environ. Bull. 18: 1992–1998.
• 18. FAO, IRIC, ISSS 1998 – World reference bas efor soil resources – Food and Agriculture Organisation of the United Nations, Rome.
• 19. Field A. 2005 – Discovering statistics using SPSS - SAGE Publications Ltd., London, 781 pp.
• 20. Fontaine M., Aerts R., Ozkan K., Mert A., Gulsoy S., Suel H., Waelkens M., Muys B. 2007 – Elevation and exposition rather than soil types determine communities and site suitability in Mediterranean mountain forests of southern Anatolia, Turkey – Forest. Ecol. Manag. 247: 18–25.
• 21. Gr ytnes J.A., Vetaas O.R. 2002 – Species richness and altitude: a comparison between null models and interpolated plant species richness along the Himalayan altitudinal gradient, Nepal – Am. Nat. 159: 294–304.
• 22. Hashemi S.A. 2010 – Evaluating plant species diversity and physiographical factors in natural broad leaf forest – Am. J. Environ. Sci. 6: 20–25.
• 23. Hastie T.J., Tibshirani R.J. 1990 – Generalized additive models – Monographs of statistics and applied probability 43. Chapman & Hall, London, p. 336.
• 24. Heydari M., Mahdavi A. 2009 – Pattern of plant species diversity in related to physiograptic factors in Melah Gavan Protected Area, Iran – Asian. J. Biol. Sci. 2: 21–28.
• 25. Hijmans R.J., Cameron S.E., Parra J.L., Jones P.G., Jar vis A. 2005 – Very high resolution interpolated climate surfaces for global land areas – Int. J. Climatol. 25: 1965–1978.
• 26. Joseph S., Reddy S.C., Pattanaik C., Sudhakar S. 2008 – Distribution of plant communities along climatic and topographic gradients in Mudumalia Wildlife Sanctuary (Southern India) – Biol. Lett. 45: 29–41.
• 27. Kantarci M.D. 1991 – The site classification of Mediterranean region, Turkey – Forest Ministry Press, vol 668, Ankara, Turkey, 150 pp.
• 28. Lundholm J.T., Larson D.W. 2003 – Relationships between spatial environmental heterogeneity and plant species diversity on a limestone pavement – Ecography, 26: 715–722.
• 29. Mareno C., Zuria I., García-Zentono M., Sánches-Rojas G., Castellanos I., Martínes-Morales M., Rojas-Martínes A. 2006 – Trends in the measurement of alpha diversity in the last two decades – Interciencia, 31: 67–71.
• 30. MathSoft S-Plus 4 1997 – Guide to Statistics – MathSoft, Inc., Seattle, WA.
• 31. Moisen G.G., Frescino T.S. 2002 – Comparing five modelling techniques for predicting forest characteristics – Ecol. Model. 157: 209–225.
• 32. Neumann M., Starlinger F. 2001 – The significance of different indices for stand structure and diversity in forests – Forest. Ecol. Manag. 145: 91–106.
• 33. Odum E.P. 1971 – Fundamentals of Ecology – W.B. Saunders Company, Philadelphie.
• 34. Ojeda F., Maraňón T., Arroyo J. 2000 – Plant diversity patterns in the Aljibe Mountains (S. Spain): a comprehensive account – Biodiversity & Conservation, 9: 1323–1343.
• 35. Özkan K. 2005 – Determination of strict protected national zone according to relationships between geomorphological features and plant diversity on Gedikli site section group - Int. Symposium on Protected Natural Areas, Isparta, Turkey, 655–658 pp.
• 36. Özkan K., Kantarci M.D. 2008 – Subregions and site section groups on Beysehir Watershed - SDU Faculty of Forestry Journal, 2: 123–135.
• 37. Özkan K., Suel H. 2008 – Endemic plant species in a karstic canyon (Mediterranean Region, Turkey): relation to relief and vegetation diversity – Pol. J. Ecol. 56:709–715.
• 38. Özkan K., Gulsoy S. 2009 – Effects of environmental factors on the productivity of Crimean pine (Pinus nigra ssp. pallasiana) in Sutculer, Turkey – J. Environ. Biol. 30: 965–970.
• 39. Özkan K., Senol H., Gulsoy S., Mert A., Suel H., Eser Y. 2009 – Vegetationenvironment relationships in Mediterranean mountain forests on limeless bedrocks of Southern Anatolia, Turkey – J. Environ. Eng. Landsc. Manag. 17: 154–163.
• 40. Özkan K., Negiz M.G. 2011 – Woody vegetation classification and mapping by using hierarchical methods in Isparta-Yukarıgokdere district – SDU Faculty of Forestry Journal, 12: 27–33.
• 41. Pausas J.G., Sáez L. 2000 – Pteridophyte richness in the NE Iberian Peninsula: biogeographic patterns – Plant. Ecol. 148:195–205.
• 42. Poulos H.M., Taylor A.H., Beaty R.M. 2007 – Environmental controls on dominance and diversity of woody plant species in a Madrean, Sky Island Ecosystem, Arizona, USA – Plant. Ecol. 193: 15–30.
• 43. Safford D.H., Harrison S. 2004 – Fire effects on plant diversity in serpentine vs. sandstone chaparral – Ecology, 85: 539–548.
• 44. Shannon C.E. 1948. A Mathematical theory of communication – The Bell System Technical Journal, 27: 379–423.
• 45. Sherman R.E., Martin P.H., Fahey T.J. 2005 – Vegetation-environmental relationships in forest ecosystems of the Cordillera Central, Dominican Republic – Journal of the Torrey Botanical Society, 132: 293–310.
• 46. Stone M. 1974 – Cross-validatory choice and assessment of statistical predictions – J. Roy. Stat. Soc. B. Stat. Meth. 36: 111–147.
• 47. Thompson I.D., Mackey B., McNulty S., Mosseler A. 2009 – Forest resilience, biodiversity and climate change. A synthesis of the biodiversity/resilience/stability relationships in forest ecosystems – Secretariat of the Convention on Biodiversity, Montreal, vol. 43. 67 pp.
• 48. Thuiller W., Midgley G.F., Rouget M., Cowling R.M. 2006 – Predicting patterns of plant species richness in mega diverse South Africa – Ecography, 29: 733–744.
• 49. Qi Y., Yang Y. 1999 – Topographic effect on spatial variation of plant diversity in California - Geogr. Inform. Sci. 5: 39–46.
• 50. Weiss A. 2001 – Topographic position and landforms analysis – Poster presentation, ESRI User Conference, San Diego, CA.
• 51. Whittaker R.H. 1972 – Evolution and measurement of species diversity – Taxon, 21: 213–251.
• 52. Wohlgemuth T., Gigon A. 2003 – Calcicole plant diversity in Switzerland may reflect a variety of habitat templets – Folia Geobotanica, 38: 443–452.
• 53. Wohlgemuth T., Nobis M.P., Kienast F., Plattnes M. 2008 – Modelling Vascular Plant Diversity at the Landscape Scale using Systematic Samples – J. Biogeogr. 35: 1226–1240.
• 54. Wolf J.H.D., Flamenco A. 2003 – Patterns in Species Richness and Distribution of Vascular Epiphytes in Chiapas, Mexico – J. Biogeogr. 30: 1689–1707.
• 55. Yang L., YiPing Z., DaMing H., Min D., Hua Z. 2007 – Climatic Control of Plant Species Richness along Elevation Gradients in the Longitudinal Range-Gorge Region – Chin. Sci. Bull. 52: 50–58.
• 56. Zhao C.M., Chen W.L., Tian Z.Q., Xie Z.Q. 2005 – Altitudinal pattern of plant species diversity in Shennongjia Mountains, Central China – J. Integr. Plant. Biol. 47: 1431–1449.