methodology: analysis, statistics

Král, K., S. M. McMahon, D. Janík, D. Adam and T. Vrška (2014): Patch mosaic of developmental stages in central European natural forests along vegetation gradient. For. Ecol. & Manag. 330 17-28. 2014
Szmorad F. (2011): A Soproni-hegység erdeinek történeti, növényföldrajzi és cönológiai vizsgálata. Tilia 16: 205 pp. + mellékletek 2011
Certain, G. és Skarpaas O: Nature Index. General framework, statistical method and data collection for Norway.NINA Report, 542. 47 pp. Oslo, 2010. 2010
Knoot, T. G., Schulte, L. A., Tyndall, J. C. & Palik, B. J. (2010): The State of the System and Steps Toward Resilience of Disturbance-dependent Oak Forests. Ecology and Society 15(4): 5. [online] 2010
Manes, F., Ricotta, C., Salvatori, E., Bajocco, S. & Blasi, C. (2010): A multiscale analysis of canopy structure in Fagus sylvatica L. and Quercus cerris L. old-growth forests in the Cilento and Vallo di Diano Nat. Park. Plant Biosystems 144(1): 202-210. 2010
Salamon-Albert, É. & Lörincz, P. (2010): Coenological status of the Iris meadows in Hungary. Annali di Botanica (Roma) 0: 123-128. 2010
Tinya, F., Mihók, B., Márialigeti, S., Mag, Zs. & Ódor, P. (2009): A comparison of three indirect methods for estimating understory light at different spatial scales in temperate mixed forests. Community Ecology 10(1): 81-90. Akadémiai Kiadó, Budapest. 2009
Tinya, F., Márialigeti, S., Király, I., Németh, B. & Ódor, P. (2009): The effect of light conditions on herbs, bryophytes and seedlings of temperate mixed forests in Őrség, Western Hungary. Plant Ecol 204: 69-81. DOI 10.1007/s11258-008-9566-z 2009
Gabler, K. & Schadauer, K. (2008): Methods of the Austrian Forest Inventory 2000/02. Origins, approaches, design, sampling, data models, evaluation and calculation of standard error. BFW-Berichte 142, 121 pp. 2008
Ódor P., Tinya F., Márialigeti S., Mag Zs. és Király I. (2008): A faállomány és különböző erdei élőlénycsoportok kapcsolata az őrségi erdőkben. In: Lengyel és mtsai (szerk.): "Molekuláktól a globális folyamatokig". Absztrakt-kötet: 137, MBT, Nyíregyháza 2008
Rolecek, J. et al: Sampling Design in Large-Scale Vegetation Studies: Do Not Sacrifice Ecological Thinking To Statistical Purism! Folia Geobotanica, 42: (199-208), 2007 2007
Ódor, P. et al. (2006): Diversity of dead wood inhabiting fungi and bryophytes in semi-natural beech forests in Europe. Biological Conservation 131: 58-71. 2006
Guralnick, Robert és Van Cleve, Jeremy: Strengths and weaknesses of museum and national survey data sets for predicting regional species richness: comparative and combined approaches. Diversity and Distribution, 11. (349-359), 2005. 2005
Guralnick, R., Neufeld D.: Challenges building online GIS Services to support global biodiversity mapping and analysis: Lessons from the mountain and plains database and informatics project. Biodiversity Informatics, 2. (56-69), 2005. 2005
Manninger, M. & Mázsa, K. (2005): Hungary. In: Marell & Leitgeb [eds.]: European long-term research for sustainable forestry: Experimental and monitoring assets at the ecosystem and landscape level. Part 1: Country reports,Technical Report 3, ECOFOR,Paris 2005
Minoura, T, Halim, S, and Albader, B: WebGD Framework and WebGD-Gen Application Generator. 17th international konference on Santific and statistical database management.Santa Barbara, CA 2005. Lawrence Berkeley Laboratory, pp. 55-58 2005
Munoz, E.S.Mauro és Koch, Ingrid: Environmental Information: Placing Biodiversity Phenomena in an Ecological and Environmental Context. Biodiversity Informatics, 2. (24-41), 2005. 2005
Romanello S., et al: Creating and Providing Data Management Services for the Biological and Ecological Sciences: Science Environment for Ecological Knowledge. Santa barbara, C1, (28-31), 2005. 2005
Canhos,V.P et al: Global Biodiversity Informatics: Setting the Scene for a "New World" of Ecological Modeling. Biodiversity Informatics, 1. (1-13), 2004. 2004
Mátrai, K., Szemethy, L., Tóth, P., Katona, K. & Székely, J. (2004): Resource use by red deer in lowland nonnative forests, Hungary. Journal of Wildlife Management 68(4): 879-888. 2004