[
AcaStat, Software. (2014): Pearson Correlation. AcaStat
]Search in Google Scholar
[
Albrecht, C., Hauffe, T., Schreiber, K., Wilke, T. (2012): Mollusc biodiversity in a European ancient lake system: lakes Prespa and Mikri Prespa in the Balkans. Hydrobiologia, 682(1), 47–59. DOI:10.1007/s10750-011-0830-1
]Search in Google Scholar
[
Anciaes, P., Metcalfe, P., Sen, A. (2019): A combined SPRP model to estimate the value of improvements in freshwater angling in England. Journal of Environmental Economics and Policy, 9, 167–187. https://doi.org/10.1080/21606544.2019.1622454
]Search in Google Scholar
[
Arlinghaus, R., Aas, Ø., Alós, J., Arismendi, I., Bower, S., Carle, S., Czarkowski, T., et al. (2021): Global participation in and public attitudes toward recreational fishing: international perspectives and developments. Review in Fisheries Science & Aquaculture, 29, 58–95. https://doi.org/10.1080/23308249.2020.1782340
]Search in Google Scholar
[
Bertram, C., and Larondelle, N. (2017): Going to the woods is going home: Recreational benefits of a larger urban forest site –a travel cost analysis for Berlin, Germany. Ecological Economics, 132, 255–263. https://doi.org/10.1016/j.ecolecon.2016.10.017
]Search in Google Scholar
[
Bilgic, A., and Florkowski, W.J. (2007): Application of a hurdle negative binomial count data model to demand for bass fishing in the southeastern United States. Journal of Environmental Management, 83, 478–490. https://doi.org/10.1016/j.jenvman.2006.10.009
]Search in Google Scholar
[
Bounas, A., Catsadorakis, G., Koutseri, I., Nikolaou, H., Nicolas, D., Malakou, M., Crivelli, A.J. (2021): Temporal trends and determinants of fish biomass in two contrast ing natural lakes systems: insights from a spring long-term monitoring scheme. Knowledge and Management of Aquatic Ecosystems, 422, 28. https://doi.org/10.1051/kmae/2021027
]Search in Google Scholar
[
Cameron, A.C., and Trivedi, P.K. (2005): Microeconometrics: Methods and Applications. New York: Cambridge University Press, Cambridge, UK, 1058 pp.
]Search in Google Scholar
[
Carson, R.T., Hanemann, W.M., Wegge, T.C. (2009): A Nested Logit Model of Recreational Fishing Demand in Alaska. Marine Resource Economics, 24, 101–129. DOI:10.5950/0738-1360-24.2.101
]Search in Google Scholar
[
Catsadorakis, G., Papadopoulou, E., Petrakos, M., Koutseri, I. (2018): Status of fisheries at Megali Prespa Lake and Mikri Prespa Lake, Greece, based on a census of fisher men’s opinions. Environment and Ecology Research, 6(6), 583–592.
]Search in Google Scholar
[
Crivelli, A.J., Catsadorakis, G., Malakou, M., Rosecchi, E. (1997): Fish and fisheries of the Prespa lakes. Hydrobiologia, 351, 107–125.
]Search in Google Scholar
[
Curtis J.A. (2002): Estimating the Demand for Salmon Angling in Ireland. The Economic and Social Review, 33(3), 319–332. http://hdl.handle.net/2262/59840
]Search in Google Scholar
[
Curtis, J.A., and Breen, B. (2016): Fisheries management for different angler types. ESRI Working Paper, No. 529. The Economic and Social Research Institute (ESRI), Dublin, 18 pp.
]Search in Google Scholar
[
Curtis, J.A., and Breen, B. (2017): Irish coarse and game anglers’ preferences for fishing site attributes. Fisheries Research, 190, 103–112. https://doi.org/10.1016/j.fishres.2017.01.016
]Search in Google Scholar
[
Czajkowski, M., Giergiczny, M., Kronenberg, J., Tryjanowski, P. (2014): The economic recreational value of a white stork nesting colony: A case of ’stork village’ in Poland. Tourism Management, 40, 352–360. DOI:10.1016/j. tourman.2013.07.009
]Search in Google Scholar
[
Dillman D.A., Smyth J.D., Christian L.M. (2014): Mail and Internet Survey – The Tailored Design Method, 4th edition. New York: John Wiley & Sons Inc., 528 pp.
]Search in Google Scholar
[
du Preez, M., and Hosking, S. (2010): Estimating the recreational value of freshwater inflows into the Klein and Kwelera Estuaries: An application of the zonal travel cost method. Water SA, 36(5), 1–9. https://doi.org/10.1080/09640568.2010.505837
]Search in Google Scholar
[
Ezebilo, E.E. (2016): Economic value of a non-market ecosystem service: an application of the travel cost method to nature recreation in Sweden. International Journal of Biodiversity Science, Ecosystem Services & Management, 12(4), 314–327. https://doi.org/10.1080/21513732.2016.1202322
]Search in Google Scholar
[
Fink, A. (2013): How to Conduct Surveys: A Step-by-Step Guide (sixth ed.). Thousand Oaks, CA: Sage Publications Inc., 224 pp.
]Search in Google Scholar
[
Freyhof, J., and Brooks, E. (2011): European Red List of freshwater fishes. EU Publication Office, Luxembourg, 60 pp.
]Search in Google Scholar
[
Freyhof, J., Bergner, L., Ford, M. (2020): Threatened Freshwater Fishes of the Mediterranean Basin Biodiversity Hotspot: Distribution, extinction risk and the impact of hydropower. EuroNatur and RiverWatch. i-viii + 1-348.
]Search in Google Scholar
[
Garrod, G., and Willis, G.K. (1999: Economic Valuation of the Environment. Cheltenham, UK: Edward Elgar, 400 pp.
]Search in Google Scholar
[
Gratton, C., and Taylor, P. (2000): The Economics of Sport and Recreation: an Economic Analysis. New York: Routledge, pp. 234.
]Search in Google Scholar
[
Grazhdani D. (2009): Social Economic Aspects of Fishery and Fishing Activities in Albanian Part of Prespa Lakes. J. Int. Environmental Application & Science, 4 (3), 253–259.
]Search in Google Scholar
[
Grazhdani, D. (2014a): An approach for assessing ecosystem services with application in a protected area case study: Al-Prespa. Bulgarian Journal of Agricultural Sciences, 20, 118–124.
]Search in Google Scholar
[
Grazhdani, D. (2014b): Integrating ecosystem services into assessment of different management options in a protected area: BA deliberate multi-criteria decision analysis approach. Bulgarian Journal of Agricultural Science, 20(6), 1311–1319.
]Search in Google Scholar
[
Grazhdani, D. (2015): Contingent valuation of residents’ attitudes and willingness to pay for non-point source pollution control: A case study in AL–Prespa, southeastern Albania. Environment Management, 56(1), 81–93. DOI: 10.1007/s00267-015-0480-6
]Search in Google Scholar
[
Grazhdani, D. (2016): Assessing the variables affecting on the rate of solid waste generation and recycling: An empirical analysis in Prespa Park. Waste management, 48, 3–13. https://doi.org/10.1016/j.wasman.2015.09.028
]Search in Google Scholar
[
Grazhdani, D. (2023): An Approach for Managing Landscapes for a Variety of Ecosystem Services in Prespa Lakes Watershed. Hydrobiology, 2(1), 134–149. https://doi.org/10.3390/hydrobiology2010008
]Search in Google Scholar
[
Grazhdani, D. (2024): Results of two non-market valuation methods used to estimate recreational fishing in the Lakes Prespa watershed. Journal of environment management and tourism, XV(1(73)).
]Search in Google Scholar
[
Greene, H.W. (2007: Econometric Analysis (Sixth Ed.). New York: Pearson Prentice Hall Publishing, 1239 pp.
]Search in Google Scholar
[
Grilli, G., Landgraf, G., Curtis, J., Hynes, S. (2017): A travel cost method estimation of demand for two destination salmon rivers in Ireland. ESRI Working Paper, No. 570. Dublin: The Economic and Social Research Institute (ESRI), 14 pp.
]Search in Google Scholar
[
Haab, T., and McConnell, K. (2002): Valuing Environmental and Natural Resources: Econometrics of Non-Market Valuation. Cheltenham, UK: Edward Elgar, 355 pp.
]Search in Google Scholar
[
Hall, D.B. (2000): Zero-Inflated Poisson and Binomial Regression with Random Effects: A Case Study. Biometrics. 56(4), 1030–1039. doi:10.1111/j.0006-341X.2000.01030.x
]Search in Google Scholar
[
He, X. (2014): The convergence of welfare estimates employing travel cost and contingent valuation methods: Evidence from New York state anglers. Master of Science Thesis. Faculty of the Graduate School of Cornell University, 110 pp.
]Search in Google Scholar
[
Hilbe, J.M. (2011): Negative binomial regression (2nd edition). Cambridge, UK: Cambridge University Press, 570 pp.
]Search in Google Scholar
[
Hinde, J., and Demétrio, G.B.C. (1998): Overdispersion: Models and estimation. Computational Statistics & Data Analysis, 27(2), 151–170. https://doi.org/10.1016/S0167-9473(98)00007-3
]Search in Google Scholar
[
Huang, B., Young, M.A., Carnell, P.E., Conron, S., Ierodiaconou, D., Macreadie, P.I., Nicholson, E. (2020): Quantifying welfare gains of coastal and estuarine ecosystem rehabilitation for recreational fisheries. Science of The Total Environment, 710, 134680. DOI: https://doi.org/10.1016/j.scitotenv.2019.134680
]Search in Google Scholar
[
Hunt, L.T., Scarborough, H., Giri, K., Douglas, W.J., Jones, P. (2017): Assessing the cost-effectiveness of a fish stocking program in a culture-based recreational fishery. Fisheries Research, 186, 468–477. https://doi.org/10.1016/j.fishres.2016.09.003
]Search in Google Scholar
[
Hynes, S., Gaeven, R., O’Reilly, P. (2017): Estimating a total demand function for sea angling pursuits. Ecological Economics, 134, 73–81. DOI: 10.1016/j. ecolecon.2016.12.024
]Search in Google Scholar
[
Johnson, D., and Walsh, R. (1987): Economic benefits and costs of the fish stocking program at Blue Mesa Reservoir, Colorado. Colorado Water Resources Research Institute Technical Report 49. Fort Collins, CO: Colorado State University.
]Search in Google Scholar
[
Johnston, R.J., Ranson, M.H, Besedin, E.Y., Helm, E.C. (2006): What Determines Willingness to Pay per Fish? A Meta-Analysis of Recreational Fishing Values. Marine Resource Economics, 21, 1–32. DOI: 10.1086/mre.21.1.42629492
]Search in Google Scholar
[
Khan, M.J. (2014): Testing the convergent validity of contingent valuation and travel cost methods for valuing the recreational fisheries in New Your state. Master of Science thesis. Faculty of the Graduate School of Cornell University, 97 pp.
]Search in Google Scholar
[
Koutsikos, N., Zogaris, S., Vardakas, L., Tachos, V., Kalogianni, E., Šanda, R., Chatzinikolaou, Y., Giakoumi, S., Economidis, P.S., Economou, A.N. (2012): Recent contributions to the distribution of the freshwater ichthyofauna in Greece. Mediterranean Marine Science, 13(2): 268-277.
]Search in Google Scholar
[
Lambert, D. (1992): Zero-inflated Poisson regression models with an application to defects in manufacturing. Technometrics, 34, 1–14.
]Search in Google Scholar
[
Lankia, T., Neuvonen, M., Pouta, E. (2019): Effects of water quality changes on the recreation benefits of swimming in Finland: combined travel cost and contingent behavior model. Water Resour. Econ., 25, 2–12. https://doi.org/10.1016/j.wre.2017.10.002.
]Search in Google Scholar
[
Lloret, J., Zaragoza, N., Caballero, D., Riera, V. (2008): Biological and socioeconomic implications of recreational boat fishing for the management of fishery resources in the marine reserve of Cap de Creus (NW Mediterranean). Fisheries Research, 91, 252–259. https://doi.org/10.1016/j.fishres.2007.12.002
]Search in Google Scholar
[
Loomis J., and Ng, K. (2012): Comparing economic values of trout anglers and nontrout anglers in Colorado’s stocked public reservoirs. North American Journal of Fisheries Management, 32(2): 202–210. https://doi.org/10.1080/02755947.2012.662089
]Search in Google Scholar
[
Loomis, J.B. (2006): A comparison of the effect of multiple destination trips on recreation benefits as estimated by travel cost and contingent valuation methods. Journal of Leisure Research, 38(1) 46–62. https://doi.org/10.1080/00222216.2006.11950068
]Search in Google Scholar
[
Loomis, J.B. (2003): Travel cost demand model based river recreation benefit estimates with on-site and household surveys: Comparative results and a correction procedure. Water Resources Research, 39(4), 1105. DOI: 10.1080/02755947.2012.662089
]Search in Google Scholar
[
Lupi, F., Hoehn, J.P., Chen, H.Z., Tomasi, D.T. (1998): The Michigan recreational angling demand model. Michigan State University and the Michigan Department of Natural Resources and Department of Environmental Quality. Michigan: East Lansing, 10 pp.
]Search in Google Scholar
[
Martínez-Espiñeira, R., and Amoako-Tuffour, J. (2008): Recreation demand analysis under truncation, overdispersion, and endogenous stratification: An application to Gros Morne National Park. Journal of Environmental Management, 88(4), 1320–1332. https://doi.org/10.1016/j.jenvman.2007.07.006
]Search in Google Scholar
[
Matzinger, A., Jordanoski, M., Veljanoska-Sarafiloska, E., Sturm, M., Müller, B., Wüest, A. (2006): Is Lake Prespa jeopardizing the ecosystem of ancient Lake Ohrid? Hydrobiologia, 553, 89–109.
]Search in Google Scholar
[
Mkwara, L, Marsh, D, Scarpa, R. (2015): The effect of within-season variability on estimates of recreational value for trout anglers in New Zealand. Ecological Economics, 119, 338–345. DOI: https://doi.org/10.1016/j.ecolecon.2015.09.012
]Search in Google Scholar
[
Minami, M., Lennert-Cody, C.E., Gao, W., Román-Verdesoto, M. (2007): Modeling shark bycatch: The zero inflated negative binomial regression model with smoothing. Fisheries Research, 84, 210–221. https://doi.org/10.1016/j.fishres.2006.10.019
]Search in Google Scholar
[
Moghimbeigi, A., Eshraghian, M.R., Mohammad, K., Mcardle, B. (2008): Multilevel zero-inflated negative binomial regression modeling for over-dispersed count data with extra zeros. Journal of Applied Statistics, 35(10), 1193–1202. DOI:10.1080/02664760802273203
]Search in Google Scholar
[
Nardi, P.M. (2013): Doing Survey Research: A Guide to Quantitative Methods (third ed.). New York: Routledge, 274 pp.
]Search in Google Scholar
[
Ng, K. (2011): Valuing economic benefits of water’s ecosystem services with non-market valuation methods and regional input-output model. Doctoral dissertation. Colorado State University, 196 pp.
]Search in Google Scholar
[
Ojumu O., Hite D., Fields D. (2009): Estimating Demand for Recreational Fishing in Alabama Using Travel Cost Model. Southern Agricultural Economics Association Annual Meeting; AgEcon Publication. Retrieved from http://ageconsearch.umn.edu/. http://ageconsearch.umn.edu/.
]Search in Google Scholar
[
Olsen, D., Richards, J., Scott, R.D. (1991): Existence and sport values for doubling the size of Columbia River Basin salmon and steelhead runs. Rivers, 2(1), 44–56.
]Search in Google Scholar
[
Parsons, G.R. (2017): Travel cost models. In: Champ, P.A., Brown, T.C., Boyle, K.J. (Eds.), A Primer on Nonmarket Valuation. Springer, Dordrecht, Netherlands, pp. 269–328.
]Search in Google Scholar
[
Pascoe, S., Doshi, A., Dell, Q., Tonks, M., Kenyon, R. (2014): Economic value of recreational fishing in Moreton Bay and the potential impact of the marine park rezoning. Tourism Management, 41, 53–63. http://dx.doi.org/10.1016/j.tourman.2013.08.015
]Search in Google Scholar
[
Pietrock, M., Ritterbusch, D., Lewin, W. C., Shumka, S., Spirkovski, Z., Ilik-Boeva, D., Brämick, U., Peveling R. (2022): The fish community of the ancient Prespa Lake (Southeast Europe): Non-indigenous species take over. Fisheries & Aquatic Life, 30, 112–124. DOI:10.2478/aopf-2022-0011
]Search in Google Scholar
[
Prado, B. (2006): Economic valuation of the lower
]Search in Google Scholar
[
Illinois carp fishery in Oklahoma under current and hypothetical management plans. Doctoral dissertation. Oklahoma State University, pp. 252.
]Search in Google Scholar
[
Radford, Z., Hyder, K., Zarauz, L., Mugerza, E., Ferter, K., Prellezo, R., et al. (2018): The impact of marine recreational fishing on key fish stocks in European waters. PLoS ONE, 13(9), e0201666. https://doi.org/10.1371/journal.pone.0201666
]Search in Google Scholar
[
Raguragavan, J., Hailu, A., Burton, M. (2013): Economic valuation of recreational fishing in Western Australia: statewide random utility modelling of fishing site choice behaviour. Australian Journal of Agricultural and Resource Economics, 57(4), 539–558. http://ordering.onli ... 1111/(ISSN)1467-8489
]Search in Google Scholar
[
Rolfe, J., and Dyack, B. (2010): Testing for convergent validity between travel cost and contingent valuation estimates of recreation values in the Coorong, Australia. Australian Journal of Agricultural and Resource Economics, 54(4), 583–599. https://doi.org/10.4217/OPR.2008.30.2.141
]Search in Google Scholar
[
Shaw, D. (1988): On-site sample regression: Problems of non-negative integers, truncation, and endogenous stratification. Journal of Econometrics, 37, 211–223. https://doi.org/10.1016/0304-4076(88)90003-6
]Search in Google Scholar
[
Shrestha, R.K., Seidl, A.F., Moraes, A.S. (2002): Value of recreational fishing in the Brazilian Pantanal: a travel cost analysis using count data models. Ecological Economics, 42, 289–299. DOI: 10.1016/S0921-8009(02)00106-4
]Search in Google Scholar
[
Shumka, S., Lalaj, S., Šanda, R., Shumka, L., Meulenbroek, P. (2023): Freshwater ichthyofauna distribution in Albania. Croatian Journal of Fisheries, 81, 33–44. DOI: https://doi.org/10.2478/cjf-2023-0004
]Search in Google Scholar
[
Skov, C., Gundelund, C., Weltersbach, S.M., Ferter, K., Bertelsen, K.S., Jepsen, N. (2022): Catch and release angling for sea trout explored by citizen science: Angler behavior, hooking location and bleeding patterns. Fisheries Research, 255, 106451. https://doi.org/10.1016/j.fishres.2022.106451
]Search in Google Scholar
[
Smallwood, C.B., Beckley, L.E., Moore, S.A., Kobryn, H.T. (2011): Assessing patterns of recreational use in large marine parks: A case study from Ningaloo Marine Park, Australia. Ocean and Coastal Management, 54, 330–334. https://doi.org/10.1016/j.ocecoaman.2010.11.007
]Search in Google Scholar
[
Spirkovski, Z, Ilik-Boeva, D, Talevski, T, Paliqi, A, Kapedani, E (2012): The fishes of Prespa. Skopje, Macedonia: UNDP.
]Search in Google Scholar
[
StataCorp. (2023). Stata Statistical Software: Release 18. College Station, TX: StataCorp LLC.
]Search in Google Scholar
[
Taylor, S.M., Webleya, J.A.C., Mayer, D.G. (2011): Improving the precision of recreational fishing harvest estimates using two-part conditional general linear models. Fisheries Research, 110, 408–414. https://doi.org/10.1016/j.fishres.2011.05.001
]Search in Google Scholar
[
Trajchevski, B., Spirkovski, Z., Ilikj-Boeva, D., Talevski, T. (2020): An alien species or another perspective to the freshwater gobies puzzle: a new finding in Lake Prespa. Turkish Journal of Zoology, 44, 542–547. https://doi.org/10.3906/zoo-2008-20
]Search in Google Scholar
[
Truong, B-C., Pho, K-H, Dinh, C-C, McAleer, M. (2021): Zero-inflated Poisson regression models: Applications in the science and social sciences. Annals of Financial Economics, 16(2), 2150006. https://doi.org/10.1142/S2010495221500068
]Search in Google Scholar
[
Vaughan, W.J., and Russell, S.C. (1982): Valuing a fishing day: an application of a systematic varying parameter model. Land Economics, 58(4), 450–463. DOI:10.2307/3145692
]Search in Google Scholar
[
Wagner, B., Vogel, H., Zanchetta, G., Sulpizio, R. (2010): Environmental change within the Balkan region during the past ca. 50 ka recorded in the sediments from lakes Prespa and Ohrid. Biogeosciences, 7, 3187–3198. DOI:10.5194/bg-7-3187-2010
]Search in Google Scholar
[
Ward, F.A., and Beal, D. (2000): Valuing Nature with Travel Cost Models. Cheltenham, UK: Edward Elgar Publishing, 264 pp.
]Search in Google Scholar
[
Webley, J.A.C., Mayer, D. G., Taylor S.M. (2011): Investigating confidence intervals generated by zero-inflated count models: Implications for fisheries management. Fisheries Research, 110, 177–182. https://doi.org/10.1016/j.fishres.2011.03.024
]Search in Google Scholar
[
Wallentin, E. (2016): Choice of the angler: estimating single-site recreation demand using revealed preference data. Tourism Economics, 22(6), 1338–1351. DOI:10.5367/te.2015.0486
]Search in Google Scholar