J. For. Sci., 2026, 72(10):548-562 | DOI: 10.17221/85/2026-JFS

Area-based nature protection and stand attributes for assessing economic impacts on forest ownersOriginal Paper

Martin Němec ORCID..., Roman Dudík ORCID..., Roman Sloup ORCID...
Czech University of Life Sciences Prague, Prague, Czech Republic

Forest conservation planning requires evidence of how administrative protection categories correspond to forest conditions. We linked three project-defined categories to 5 530 plots from the second Czech National Forest Inventory (2011–2015) and adjusted comparisons for stand age, forest vegetation zone, terrain and inventory year. The strong category showed a distinctive combination of attributes: greater broadleaf representation, more frequent standing deadwood and less frequent stump occurrence than both the reference and moderate categories. Adjusted standing-deadwood occurrence reached 31% in the strong category and 19% in the reference category. The directions of these contrasts persisted under alternative classification rules. Protection class explained little additional variation in live or total standing volume. Broadleaf-share differences varied among forest vegetation zones, and tree-diameter differences varied with age and zone. Recorded woody-taxon diversity showed a small difference that depended on the classification rule. Composition, tree dimensions and occurrence indicators therefore distinguished the categories more clearly than growing stock. These cross-sectional associations identify biological inputs for subsequent economic assessment of management restrictions on forest owners; monetary impacts were not quantified. Valuation requires species-specific timber quantities, management alternatives, prices and costs.

Keywords: broadleaf share; deadwood; ecological stratification; management history; woody-taxon diversity

Received: October 2, 2026; Revised: October 17, 2026; Accepted: October 19, 2026; Prepublished online: October 29, 2026; Published: October 30, 2026  Show citation

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Němec M, Dudík R, Sloup R. Area-based nature protection and stand attributes for assessing economic impacts on forest owners. Journal of Forest Science. 2026;72(10):548-562. doi: 10.17221/85/2026-JFS.
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    References

    1. Adolt R. (2017): Metodika odhadu cílových parametrů druhého cyklu Národní inventarizace lesů České republiky (NIL2): Jednofázové odhady na základě terénních dat inventarizační sítě NIL1. Version 18 March 2017. ACNIL č.j. UHUL/2476/2016/KM. Brandýs nad Labem, Ústav pro hospodářskou úpravu lesů: 37. Available at: https://nli.gov.cz/wp-content/uploads/2017_03_18_vyhodnoceni_nil2_sit_nil1.pdf (in Czech).
    2. Ahtikoski A., Väätäinen K., Anttila P., Laitila J., Mutanen A., Lindblad J., Sikanen L., Routa J. (2024): The effects of the EU's forest-related policies on harvesting costs in Finland. Silva Fennica, 58: 23018. Go to original source...
    3. Alberdi I., Nunes L., Kovac M., Bonheme I., Cañellas I., Rego F.C., Dias S., Duarte I., Notarangelo M., Rizzo M., Gasparini P. (2019): The conservation status assessment of Natura 2000 forest habitats in Europe: Capabilities, potentials and challenges of national forest inventories data. Annals of Forest Science, 76: 34. Go to original source...
    4. Ampoorter E., Barbaro L., Jactel H., Baeten L., Boberg J., Carnol M., Castagneyrol B., Charbonnier Y., Dawud S.M., Deconchat M., De Smedt P., De Wandeler H., Guyot V., Hättenschwiler S., Joly F.X., Koricheva J., Milligan H., Muys B., Nguyen D., Ratcliffe S., Raulund-Rasmussen K., Scherer-Lorenzen M., van der Plas F., Van Keer J., Verheyen K., Vesterdal L., Allan E. (2020): Tree diversity is key for promoting the diversity and abundance of forest-associated taxa in Europe. Oikos, 129: 133-146. Go to original source...
    5. Asbeck T., Großmann J., Paillet Y., Winiger N., Bauhus J. (2021): The use of tree-related microhabitats as forest biodiversity indicators and to guide integrated forest management. Current Forestry Reports, 7: 59-68. Go to original source...
    6. Benjamini Y., Hochberg Y. (1995): Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B (Methodological), 57: 289-300. Go to original source...
    7. Borghi C., Francini S., McRoberts R.E., Parisi F., Lombardi F., Nocentini S., Maltoni A., Travaglini D., Chirici G. (2024): Country-wide assessment of biodiversity, naturalness and old-growth status using national forest inventory data. European Journal of Forest Research, 143: 271-303. Go to original source...
    8. Branquart E., Verheyen K., Latham J. (2008): Selection criteria of protected forest areas in Europe: The theory and the real world. Biological Conservation, 141: 2795-2806. Go to original source...
    9. Bujoczek L., Szewczyk J., Bujoczek M. (2018): Deadwood volume in strictly protected, natural, and primeval forests in Poland. European Journal of Forest Research, 137: 401-418. Go to original source...
    10. Chirici G., McRoberts R.E., Winter S., Bertini R., Brändli U.B., Alberdi Asensio I., Bastrup-Birk A., Rondeux J., Barsoum N., Marchetti M. (2012): National forest inventory contributions to forest biodiversity monitoring. Forest Science, 58: 257-268. Go to original source...
    11. Czech National Council (1992): Zákon České národní rady č. 114/1992 Sb., o ochraně přírody a krajiny. Collection of Laws of the Czech Republic, 28/1992. Available at: https://e-sbirka.gov.cz/sb/1992/114
    12. Das A.K., Baldo M., Dobor L., Seidl R., Rammer W., Modlinger R., Washaya P., Merganičová K., Hlásny T. (2025): The increasing role of drought as an inciting factor of bark beetle outbreaks can cause large-scale transformation of Central European forests. Landscape Ecology, 40: 108. Go to original source...
    13. Dobšinská Z., Báliková K., Jarský V., Hríb M., Štifil R., Šálka J. (2024): Evaluation analysis of the compensation payments schemes for ecosystem services: The case of Czech and Slovak Republic. Forest Policy and Economics, 163: 103202. Go to original source...
    14. European Commission (2020): EU Biodiversity Strategy for 2030: Bringing Nature Back into Our Lives. COM(2020) 380 final. Brussels, European Commission. Available at: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52020DC0380
    15. European Commission (2021): New EU Forest Strategy for 2030. COM(2021) 572 final. Brussels, European Commission. Available at: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52021DC0572
    16. European Parliament and Council of the European Union (2024): Regulation (EU) 2024/1991 of the European Parliament and of the Council of 24 June 2024 on nature restoration and amending Regulation (EU) 2022/869. Official Journal of the European Union, L 2024/1991. Available at: http://data.europa.eu/eli/reg/2024/1991/oj
    17. Gao T., Nielsen A.B., Hedblom M. (2015): Reviewing the strength of evidence of biodiversity indicators for forest ecosystems in Europe. Ecological Indicators, 57: 420-434. Go to original source...
    18. Hämäläinen A., Runnel K., Ranius T., Strengbom J. (2024): Diversity of forest structures important for biodiversity is determined by the combined effects of productivity, stand age, and management. Ambio, 53: 718-729. Go to original source... Go to PubMed...
    19. Harrell F.E. Jr. (2015): Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. 2nd Ed. Cham, Springer: 582. Go to original source...
    20. Hill M.O. (1973): Diversity and evenness: A unifying notation and its consequences. Ecology, 54: 427-432. Go to original source...
    21. Holm S. (1979): A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6: 65-70. Available at: https://www.jstor.org/stable/4615733
    22. Joppa L.N., Pfaff A. (2009): High and far: Biases in the location of protected areas. PLoS ONE, 4: e8273. Go to original source... Go to PubMed...
    23. Jost L. (2006): Entropy and diversity. Oikos, 113: 363-375. Go to original source...
    24. Keren S., Diaci J. (2018): Comparing the quantity and structure of deadwood in selection managed and old-growth forests in South-East Europe. Forests, 9: 76. Go to original source...
    25. Lassauce A., Paillet Y., Jactel H., Bouget C. (2011): Deadwood as a surrogate for forest biodiversity: Meta-analysis of correlations between deadwood volume and species richness of saproxylic organisms. Ecological Indicators, 11: 1027-1039. Go to original source...
    26. Lelli C., Bruun H.H., Chiarucci A., Donati D., Frascaroli F., Fritz Ö., Goldberg I., Nascimbene J., Tøttrup A.P., Rahbek C., Heilmann-Clausen J. (2019): Biodiversity response to forest structure and management: Comparing species richness, conservation relevant species and functional diversity as metrics in forest conservation. Forest Ecology and Management, 432: 707-717. Go to original source...
    27. Lombardi F., Lasserre B., Tognetti R., Marchetti M. (2008): Deadwood in relation to stand management and forest type in Central Apennines (Molise, Italy). Ecosystems, 11: 882-894. Go to original source...
    28. MacKinnon J.G., White H. (1985): Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties. Journal of Econometrics, 29: 305-325. Go to original source...
    29. Muller C.J., MacLehose R.F. (2014): Estimating predicted probabilities from logistic regression: Different methods correspond to different target populations. International Journal of Epidemiology, 43: 962-970. Go to original source...
    30. Papke L.E., Wooldridge J.M. (1996): Econometric methods for fractional response variables with an application to 401(k) plan participation rates. Journal of Applied Econometrics, 11: 619-632. Go to original source...
    31. Rosenkranz L., Seintsch B., Wippel B., Dieter M. (2014): Income losses due to the implementation of the Habitats Directive in forests - Conclusions from a case study in Germany. Forest Policy and Economics, 38: 207-218. Go to original source...
    32. Sarvašová Z., Ali T., Đorđević I., Lukmine D., Quiroga S., Suárez C., Hrib M., Rondeux J., Mantzanas K.T., Franz K. (2019): Natura 2000 payments for private forest owners in Rural Development Programmes 2007-2013 - A comparative view. Forest Policy and Economics, 99: 123-135. Go to original source...
    33. Tiebel M., Mölder A., Plieninger T. (2021): Small-scale private forest owners and the European Natura 2000 conservation network: Perceived ecosystem services, management practices, and nature conservation attitudes. European Journal of Forest Research, 140: 1515-1531. Go to original source...
    34. Vidal C., Alberdi I., Redmond J., Vestman M., Lanz A., Schadauer K. (2016): The role of European National Forest Inventories for international forestry reporting. Annals of Forest Science, 73: 793-806. Go to original source...
    35. Winkel G., Blondet M., Borrass L., Frei T., Geitzenauer M., Gruppe A., Jump A., de Koning J., Sotirov M., Weiss G., Winter S., Turnhout E. (2015): The implementation of Natura 2000 in forests: A trans- and interdisciplinary assessment of challenges and choices. Environmental Science & Policy, 52: 23-32. Go to original source...
    36. Winter S., Borrass L., Geitzenauer M., Blondet M., Breibeck R., Weiss G., Winkel G. (2014): The impact of Natura 2000 on forest management: A socio-ecological analysis in the continental region of the European Union. Biodiversity and Conservation, 23: 3451-3482. Go to original source...

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