Explanation and analysis on the determination of health assessment indicators with the approach of Construction an index system in Ramsar tourism ecosystem

Document Type : Research Article

Authors

Department of Environmental planning, management and education, Faculty of environment, University of Tehran, Tehran, Iran

10.22059/jut.2025.382240.1233

Abstract

A B S T R A C T
Human disturbances, including the destruction of habitats and the spread of various types of pollution, have caused damage to ecosystems and affected their health. Tourism ecosystem, as one of the biggest economic drivers of the world and multiple systems, has been destroyed in different parts. The current research was conducted with the aim of determining the indicators used in the methods of evaluating the tourism ecosystem health and analyzing them. The construction approach of an index system determined by the VORSH model including capacity, organizational structure, resilience, ecosystem services and the level of health and education of the residents has been used. Then, by weighting the indicators using fuzzy ANP, it proposed a new research mentality for the sustainable development of tourism. The results show that the indicators of the number of incoming tourists and the presence of natural, cultural and historical attractions in the power dimension, the rate of land use change from ecological to non-ecological, population density and visitor density and the distance to the tourist area in the structure dimension, The four environmental protection zones have the greatest impact on the health of the tourism ecosystem in the dimension of resilience and preservation of biological and aesthetic diversity in the dimension of ecosystem services. According to the most effective indicators of this research, the carrying capacity of each tourist place should be considered in order to maintain the quality and quantity of attractions and to reduce the pressure on the ecosystem by distributing the burden of tourism.
Extended Abstract
Introduction
Human disturbances, including the destruction of habitats and the spread of various types of pollution, have caused damage to ecosystems and affected their health. Tourism ecosystem, as one of the biggest economic drivers of the world, is a special hybrid ecosystem that includes nature, economy and society, and as a multiple system, it has been destroyed in different parts. Although many models have been developed to evaluate the health of the ecosystem, the weaknesses of the models used to evaluate the health of tourism ecosystems, such as not paying attention to important Indexes, using Indexes that overlap in terms of content, and The inappropriate classification of sub-dimensions in previous studies shows the necessity of developing models. The current research aims to determine the indicators used in the methods of assessment the health of the tourism ecosystem, taking into account a tourism ecosystem with a diverse landscape, analyzing the methods of assessment the health of the ecosystem. Ecosystem health assessment often uses information related to Indexes. The identity of the Indexes depends on the component that is being investigated and differs between ecosystems.
 
Methodology
Based on previous studies, by using the VORSH model, the threatened tourism ecosystem of Ramsar region with diverse landscapes including mountain, sea, forest, pasture, river, lake, agriculture, and urban was considered and evaluated. Then, the construction approach of an index system determined by the VORSH model including capacity, organizational structure, resilience, ecosystem services and the level of health and education of the residents has been used. Then, by weighting the indicators using fuzzy ANP, it proposed a new research mentality for the sustainable development of tourism.
 
Results and discussion
A wide range of ecosystem health Indexes are available in previous researches, but depending on the questions investigated in the research, the existing Indexes can be combined and complement each other in order to carry out holistic ecosystem health assessments and Used comprehensively. After studying various dimensions of tourism, the need to add some indicators was felt more and more, which was included in this research. Another important point in selecting Indexes is the availability of data for quantifying the relevant Indexes in appropriate spatial and temporal scales. More data can be extracted by modeling or suitable surrogates can be found for them. The importance of choosing and combining Indexes is because social, economic and land use data can provide valuable information regarding the effects of human actions on the state of ecosystems. Similar indicators in various researches can have different weights, which occurs due to the conditions governing the combined tourism systems. The quality of selected and produced indicators is more important than their quantity and finally all indicators are multiplied together. This means that an index may be moved among the existing dimensions based on the researchers' point of view; Therefore, the nature of the model used and its considered dimensions are very important. The results show that the indicators of the number of incoming tourists and the presence of natural, cultural and historical attractions in the power dimension, the rate of land use change from ecological to non-ecological, population density and visitor density and the distance to the tourist area in the structure dimension, The four environmental protection zones have the greatest impact on the health of the tourism ecosystem in the dimension of resilience and preservation of biological and aesthetic diversity in the dimension of ecosystem services.
 
Conclusion
This research is a new attempt to conduct a comprehensive health assessment and analysis of the tourism ecosystem using the VORSH model. According to the most effective indicators of this research, the carrying capacity of each tourist place should be considered in order to maintain the quality and quantity of attractions and to reduce the pressure on the ecosystem by distributing the burden of tourism. The uneven distribution of tourists among different regions shows the shortcomings of the tourism industry in developing countries, which has to strengthen the infrastructure of tourism and culture through education and extensive advertising. Effective factors in the tourism development of a region include natural, economic and social power, as well as the existence of facilities and infrastructure. After identifying the most effective indicators on the health of the tourism ecosystem of the studied area, measures can be taken to improve the health of that ecosystem. Consciously creating an attraction such as a handicraft market based on the values in the past customs of the region and the needs of tourists is one of the ways that can cause the distribution of tourists; Because it leads to the formation of positive feelings in people and has had a positive impact on the development of sustainable tourism since the past.
 
Funding
There is no funding support.
 
Authors’ Contribution
Authors contributed equally to the conceptualization and writing of the article. All of the authors approved thecontent of the manuscript and agreed on all aspects of the work declaration of competing interest none.
 
Conflict of Interest
Authors declared no conflict of interest.
 
Acknowledgments
We are grateful to all the scientific consultants of this paper.

Keywords


  1. Aguilar, A. G. (1999). Mexico City growth and regional dispersal: the expansion of largest cities and new spatial forms. Habitat International, 23(3), 391-412.
  2. Aguirre, A. A., & Lutz, P. L. (2004). Marine turtles as sentinels of ecosystem health: is fibropapillomatosis an indicator?. EcoHealth, 1, 275-283.
  3. Aguirre-Rubí, J., Luna-Acosta, A., Ortiz-Zarragoitia, M., Zaldibar, B., Izagirre, U., Ahrens, M. J., & Marigómez, I. (2018). Assessment of ecosystem health disturbance in mangrove-lined Caribbean coastal systems using the oyster Crassostrea rhizophorae as sentinel species. Science of the total environment, 618, 718-735.
  4. Andrianambinina, F. O. D., Schuurman, D., Rakotoarijaona, M. A., Razanajovy, C. N., Ramparany, H. M., Rafanoharana, S. C., & Wilmé, L. (2023). Boost the resilience of protected areas to shocks by reducing their dependency on tourism. PLoS One, 18(4), e0278591.
  5. Bahlool, Q. (2023). Tourist attractions in badakhshan province, its role in the local economy. Integrated Journal for Research in Arts and Humanities, 3(1), 23-29.
  6. Banarsyadhimi, U.R.A.M.F., Dargusch, P., & Kurniawan, F. (2022). Assessing the impact of marine tourism and protection on cultural ecosystem services using integrated approach: a case study of Gili Matra Islands. Int J Env Res Pub He, 19,12078. doi: 10.3390/ijerph191912078.
  7. Boori, M.S. Choudhary K., Paringer R. & Kupriyanov, A. (2021). Ecosystem Health Assessment Based On Pressure State Response Framework Using Remote Sensing and Geographical Information System. Earth and Environmental Science, 767, International Conference on Geomatics and Geospatial Technology, 23 - 24 March 2021, Shah Alam, Malaysia.
  8. Borja, A., Dauer, D.M. & Gremare, A. (2012). The importance of setting targets and reference conditions in assessing marine ecosystem quality. Ecol. Indicat, 12, 1–7. https://doi.org/10.1016/j.ecolind.2011.06.018
  9. Buckley, R. (2012). Sustainable tourism: research and reality. Ann Tourism Res, 39, 528–46. doi: 10.1016/j.annals.2012.02.003.
  10. Calianno, M. (2020). The Analogues Method: Reproducing the Seasonality of Drinking Water Distribution in Mountain Tourist Resorts. Journal of Alpine Research| Revue de géographie alpine, (108-1).
  11. Camilleri, M. A. (2021). Sustainable production and consumption of food. Mise-en-place circular economy policies and waste management practices in tourism cities. Sustainability, 13(17), 9986.
  12. Cao, F., Tzortziou, M., Hu, C., Mannino, A., Fichot, C. G., Del Vecchio, R., & Novak, M. (2018). Remote sensing retrievals of colored dissolved organic matter and dissolved organic carbon dynamics in North American estuaries and their margins. Remote Sensing of Environment, 205, 151-165.
  13. Ciadamidaro, S., Mancini, L., & Rivosecchi, L. (2016). Black flies (Diptera, Simuliidae) as ecological indicators of stream ecosystem health in an urbanizing area (Rome, Italy). Annali dell'Istituto superiore di sanita, 52(2), 269-276.
  14. Coolgeography. (2023). From https://www.coolgeography.co.uk/GCSE/AQA/Tourism/Mass%20Tourism/Mass%20Tourism.htm.
  15. Costanza, R. (1992). Toward an Operational Definition of Ecosystem Health. Ecosyst. Health: New Goals Environ. Manag, 239, 269. 100.
  16. Costanza, R., De Groot, R., Sutton, P., Van Der Ploeg, S., Anderson, S., Kubiszewski, I., Farber, S. & Turner, R.K. (2014). Changes in the Global Value of Ecosystem Services. Glob. Environ. Chang, 26, 152–158.
  17. Das, M., Inácio, M., Das, A., Barcelo, D., & Pereira, P. (2024). Mapping and assessment of ecosystem health in the Vilnius functional zone (Lithuania). Science of The Total Environment, 912, 168891.
  18. De Paoli, I., Di Campi, A. M., & Luccio, F. L. (2023, November). Accessible Applications to Improve the Tourist Experience. In International Conference on Computer-Human Interaction Research and Applications (pp. 43-65). Cham: Springer Nature Switzerland.
  19. Dos Santos, E. R. M., Pereira, L. N., Pinto, P., Boley, B. B., & Ribeiro, M. A. (2024). Imperialism, empowerment, and support for sustainable tourism: Can residents become empowered through an imperialistic tourism development model?. Tourism Management Perspectives53, 101270.
  20. Eusébio, C., Teixeira, L., Teixeira, P., Caneiro, M. J., Lemos, D., & Silveiro, A. (2023). The State of Web Accessibility for tourists with disabilities: a comparative study between different tourism supply agents. Disability and Rehabilitation: Assistive Technology, 18(1), 17-29.
  21. Fan Q. & Sun, T. (2008). The Assessment Indicators of Tourism Ecosystem Health. Management Science and Engineering, 2 (4).
  22. Faridah-Hanum, I., Yusoff, F.M., Fitrianto, A., Ainuddin, N.A., Gandaseca, S., Zaiton, S., Norizah, K., Nurhidayu, S., Roslan, M.K., Hakeem, Kh., Shamsuddin, R. I., Adnan, I., Awang Noor, A.G., Balqis, A.R.S., Rhyma, P.P., Aminah, I. S., Hilaluddin, F., Fatin, R. & Harun, N.Z.N. (2019). Development of a comprehensive mangrove quality index (MQI) in Matang Mangrove: Assessing mangrove ecosystem health. Ecological Indicators, 102, 103-117.
  23. Fauzi, A., & Ariyani, N. (2024). From Traditional to Thriving: Predicting Rural Tourism Sustainability in Water Based Tourism of Kedung Ombo, Indonesia Using Bayesian Networks. In 35th Barcelona International Conference on Economics, Management, Education & Law (BEMEL-24) (pp. 37-45).
  24. Feng, B., Zhang, M., Chen, J., Xu, J., Xiao, B., Zhou, M., & Zhang, M. (2021). Reduction in the phytoplankton index of biotic integrity in riverine ecosystems driven by industrial activities, dam construction and mining: A case study in the Ganjiang River, China. Ecological Indicators, 120, 106907.
  25. Friedlander, A.M., Ballesteros, E., Bell, T.W., Caselle, J.E., Campagna, C., Goodell, W., Hüne, M., Munoz, A., Salinas-DeLeon, ´ P., Sala, E. & Dayton, P.K. (2020). Kelp forests at the end of the earth: 45 years later. PLoS One, 15: 1–23. https://doi.org/10.1371/ journal.pone.0229259.
  26. Gidebo, H. B. (2023). Linking livelihood and biodiversity conservation in protected areas: Community based tourism development perspective from developing country. Tourism and Hospitality Research, 23(3), 361-375.
  27. Gogina, M., & Zettler, M. L. (2010). Diversity and distribution of benthic macrofauna in the Baltic Sea: Data inventory and its use for species distribution modelling and prediction. Journal of Sea Research, 64(3), 313-321.
  28. Grecchi, R. C., Gwyn, Q. H. J., Bénié, G. B., Formaggio, A. R., & Fahl, F. C. (2014). Land use and land cover changes in the Brazilian Cerrado: A multidisciplinary approach to assess the impacts of agricultural expansion. Applied Geography, 55, 300-312.
  29. Gregory, A.J., Atkins, J.P., Burdon, D. & Elliott, M. (2013). A Problem Structuring Method for Ecosystem-Based Management: The DPSIR Modelling Process. Eur. J. Oper. Res, 227, 558–569.
  30. Guimarães, A. T. B., de Lima Rodrigues, A. S., Pereira, P. S., Silva, F. G., & Malafaia, G. (2021). Toxicity of polystyrene nanoplastics in dragonfly larvae: An insight on how these pollutants can affect bentonic macroinvertebrates. Science of the Total Environment, 752, 141936.
  31. He, J. H., Pan, Z. Z., Liu, D. F., Guo, X. N. (2019): Exploring the regional differences of ecosystem health and its driving factors in China. Science of the Total Environment, 673, 553-564.
  32. Hemzo, M. A. (2023). Marketing luxury services: concepts, strategy, and practice. Springer Nature.
  33. Herrera-Prado, A. L., Olmos-Martínez, E., & León-Castro, E. (2023, May). Impact of Information and Communication Technology on Tourist Spending. In Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy: Proceedings of the Third International Conference, MMCITRE 2022 (pp. 329-347). Singapore: Springer Nature Singapore.
  34. Hillebrand, B. (2022). An ecosystem, perspective on tourism: the implications for tourism organizations. Int J Tour Res, 24, 517–24. doi: 10.1002/jtr.2518.
  35. Hou, Y., Kong, F., Li, Y., Xi, M., & Yu, Z. (2020). Key factors of the studies on benthic macroinvertebrate in coastal wetlands: Methods and biodiversity. Ecohydrology & Hydrobiology, 20(3), 424-436.
  36. Houssou, A. M., Adjahouinou, D. C., Bonou, C. A., & Montchowui, E. (2020). Plankton Index of Biotic Integrity (P-IBI) for assessing ecosystem health within the Ouémé River basin, Republic of Benin. African Journal of Aquatic Science, 45(4), 452-465.
  37. Hsu, J. L., & Sharma, P. (2023). Disaster and risk management in outdoor recreation and tourism in the context of climate change. International Journal of Climate Change Strategies and Management, 15(5), 712-728.
  38. Hu, R., Li, G., Liu, A., & Chen, J. L. (2024). Emerging research trends on residents’ quality of life in the context of tourism development. Journal of Hospitality & Tourism Research48(1), 131-152.
  39. Japri, J. F., & Facrureza, D. (2024). analysis of tourist attraction on tourist visiting interest in perlang tourism village central bangka. International Journal of Accounting, Management, Economics and Social Sciences (IJAMESC)2(4), 1277-1285.
  40. Kapa, M. G., de Crom, E. P., & Hermann, U. P. (2023). Perceived challenges facing tourist guides in south Africa. African Journal of Hospitality, Tourism and Leisure, 12(2), 491-503.
  41. Karpak, B. (2022). Theory and Applications of AHP/ANP at MCDM 2022. International Journal of the Analytic Hierarchy Process, 14(2).
  42. Kerr, J. T., & Ostrovsky, M. (2003). From space to species: ecological applications for remote sensing. Trends in ecology & evolution, 18(6), 299-305.
  43. Kirillova, K. (2023). A review of aesthetics research in tourism: Launching the Annals of Tourism Research Curated Collection on beauty and aesthetics in tourism. Annals of Tourism Research, 100, 103553.
  44. Kusumaningrum, L., Setyono, P., Sunarhadi, A., Berlin, G. E., Nurcahyati, M., Maulidyna, A., & Ally, H. (2024, March). Forest contribution to CO2 sequestration as mitigation climate change on the impact of tourism activities in Mount Tidar Botanical Garden. In IOP Conference Series: Earth and Environmental Science (Vol. 1314, No. 1, p. 012094). IOP Publishing.
  45. Li, C., He, L., Guo, W., Wang, K., & Tang, S. (2024). A study on the influence of perceived distance on China’s inbound Tourism and the interaction of non-economic distance: An analysis of dynamic extended gravity model based on 61 countries’ entry data (2004–2018). Plos one19(5), e0297442.
  46. Li, J. & Shen, W. (2021). Spatial heterogeneity of the effects of human activities on ecosystem health of a coastal tourism city - a case study of Rizhao, China, 3029 -3054. ALÖKI Kft., Budapest, Hungary.
  47. Li, Y., Shi, Y., Qureshi, S., Bruns, A., Zhu, X. (2014). Applying the concept of spatial resilience to socio-ecological systems in the urban wetland interface. Ecol. Indic. 42 (7), 135–146.
  48. Liu, W., Guo, Z., Jiang, B., Lu, F., Wang, H., Wanga, D., Zhang, M. and Cui, L. (2020). Improving wetland ecosystem health in China. Ecological Indicators, 113.
  49. Liu, D. L., Hao, S. L. (2017): Ecosystem health assessment at county-scale using the pressure-state-response framework on the Loess Plateau, China. International Journal of Environmental Research and Public Health, 14, 2.
  50. Lobo, M. T. M. P. S., Scalize, P. S., Kraus, C. N., da Silva, W. J., Garnier, J., da Motta Marques, D., ... & de Souza Nogueira, I. (2020). Biological index based on epiphytic diatom assemblages is more restrictive than the physicochemical index in water assessment on an Amazon floodplain, Brazil. Environmental Science and Pollution Research, 27, 10642-10657.
  51. Logana, M., Hu, Z. Y., Brinkmana, R., Sun, S., Sun, X. X. & Schaffelke, B. (2020): Ecosystem health report cards: An overview of frameworks and analytical methodologies. – Ecological Indicators, 113: 105834.
  52. Lu, F., Ren H., & Zhai X. (2023). Dynamic evolution characteristics and driving factors of tourism ecosystem health in China. Front. Public Health 11, 1127980. doi: 10.3389/fpubh.2023.1127980.
  53. Luo, W., Timothy, D. J., Zhong, C., & Zhang, X. (2022). Influential factors in agrarian households' engagement in rural tourism development. Tourism Management Perspectives, 44, 101009.
  54. Luo, Q.L., Zhou, J.F., Li, Z.G. & Yu, B.L. (2020). Spatial differences of ecosystem services and their driving factors: a comparation analysis among three urban agglomerations in China’s Yangtze River Economic Belt. Sci. Total. Environ. 725, 138452.
  55. Mallick, J., AlQadhi, S., Talukdar, S., Pradhan, B., Bindajam, A., Islam, A., & Dajam, A. (2021). A Novel Technique for Modeling Ecosystem Health Condition: A Case Study in Saudi Arabia. Remote Sens, 13, 2632.
  56. Marshall, F.E., Banks, K., & Cook, G.S. (2014). Ecosystem Indicators for Southeast Florida Beaches. Ecol. Indi, 44, 81–91.
  57. Martinho, F., Nyitrai, D., Crespo, D., & Pardal, M. A. (2015). Efficacy of single and multi-metric fish-based indices in tracking anthropogenic pressures in estuaries: An 8-year case study. Marine Pollution Bulletin, 101(1), 153-162.
  58. Mazumder, D. I., Vashisht, S. K., Pugalarasu, R., & Rajasekaran, S. (2024). Estimating Tourist Growth at Destination Sites: A Mathematical Equation and a Connectivity Model Through Mobile Application. Baghdad. Science Journal, 21(5 (SI)), 1878-1878.
  59. Mei R. & Han L. (2022). Evaluation system of rural sustainable tourism land based on ecosystem service value. Ecol Chem Eng S, 29, 347–69. doi: 10.2478/eces-2022-0025.
  60. Miralles, C. C., Barioni, D., Mancini, M. S., Jordà, J. C., Roura, M. B., Salas, S. P., ... & Galli, A. (2023). The footprint of tourism: A review of water, carbon, and ecological footprint applications to the tourism sector. Journal of Cleaner Production, 138568.
  61. Montefalcone, M. (2009). Ecosystem health assessment using the Mediterranean seagrass Posidonia oceanica: a review. Ecological indicators, 9(4), 595-604.
  62. Munksgaard, N.C., Hutley, L.B., Metcalfe, K.N., Padovan, A.C., Palmer, C. & Gibb, K.S. (2019). Environmental challenges in a near-pristine mangrove estuary facing rapid urban and industrial development: Darwin Harbour. Northern Australia. Reg. Stud. Mar. Sci. 25: 100438 https://doi.org/10.1016/j.rsma.2018.11.001.
  63. Niu, Z. S., Niu, X. J., & Wang, W. H. (2016). Genetic alterations in hepatocellular carcinoma: An update. World journal of gastroenterology, 22(41), 9069.
  64. Palmer, M.A. & Febria, C.M. (2012). The heartbeat of ecosystems. Science, 336, 1393–1394. https://doi.org/10.1126/science.1223250.
  65. Pan, Z., He, J., Liu, D., Wang, J., Guo, X. (2021). Ecosystem Health Assessment Based on Ecological Integrity and Ecosystem Services Demand in the Middle Reaches of the Yangtze River Economic Belt, China. Sci. Total Environ, 774, 144837.
  66. Papatheodorou, A. (2021). A review of research into air transport and tourism: Launching the Annals of Tourism Research Curated Collection on Air Transport and Tourism. Annals of Tourism Research, 87, 103151.
  67. Peng, J., Liu, Y., Wu, J., Lv, H. & Hu, X. (2015). Linking Ecosystem Services and Landscape Patterns to Assess Urban Ecosystem Health: A Case Study in Shenzhen City, China. Landsc. Urban Plan, 143, 56–68.
  68. Perkumienė, D., Atalay, A., Safaa, L., & Grigienė, J. (2023). Sustainable waste management for clean and safe environments in the recreation and tourism sector: a case study of Lithuania, Turkey and Morocco. Recycling, 8(4), 56.
  69. Peypoch, N., Song, Y., Tan, R., & Zhang, L. (2024). Tourism efficiency and quality of life in Chinese cities. International Journal of Tourism Cities.
  70. Qiao, Z., Liu, L., Qin, Y., Xu, X., Wang, B., & Liu, Z. (2020). The impact of urban renewal on land surface temperature changes: A case study in the main city of Guangzhou, China. Remote Sensing, 12(5), 794.
  71. Qiao, Z., Wu, C., Zhao, D., Xu, X., Yang, J., Feng, L., & Liu, L. (2019). Determining the boundary and probability of surface urban heat island footprint based on a logistic model. Remote Sensing, 11(11), 1368.
  72. Ramos, T.B., Alves, I., Subtil, R. & de Melo, J.J. (2007). Environmental Performance Policy Indicators for the Public Sector: The Case of the Defence Sector. J. Environ. Manag, 82, 410–432.
  73. Rocha, L., Hegoburu, C., Torremorell, A., Feijoo, C., Navarro, E. & Fernandez, H.R. (2020). Use of Ecosystem Health Indicators for Assessing Anthropogenic Impacts on Freshwaters in Argentina: A Review. Environ. Monit. Assess, 192, 611.
  74. Ruan, W.Q., Li, Y.Q., Zhang, S.N. & Liu, C-H. (2019). Evaluation and drive mechanism of tourism ecological security based on the DPSIR-DEA model. Tourism Manage, 75, 609–625. doi: 10.1016/j.tourman.2019.06.021
  75. Sala, E., Ballesteros, E., Dendrinos, P., Di Franco, A., Ferretti, F., Foley, D., Fraschetti, S., Friedlander, A., Garrabou, J., Güçlüsoy, H., Guidetti, P., Halpern, B.S., Hereu, B., Karamanlidis, A. a, Kizilkaya, Z., Macpherson, E., Mangialajo, L., Mariani, S., Micheli, F., Pais, A., Riser, K., Rosenberg, A. a, Sales, M., Selkoe, K. a, Starr, R., Tomas, F. & Zabala, M. (2012). The structure of Mediterranean rocky reef ecosystems across environmental and human gradients, and conservation implications. PLoS One, 7, e32742. https://doi.org/10.1371/journal.pone.0032742.
  76. Santos, J. I., Vidal, T., Gonçalves, F. J., Castro, B. B., & Pereira, J. L. (2021). Challenges to water quality assessment in Europe–Is there scope for improvement of the current Water Framework Directive bioassessment scheme in rivers?. Ecological Indicators, 121, 107030.
  77. Sari, F.O. & Nazli, M. (2021). "Exploring the effects of “excessive tourism growth” on public health and ecosystem". Hospitality and Tourism Insights, 4 (1), 1-17. https://doi.org/10.1108/JHTI-04-2020-0060.
  78. Sangil, C., Martín-García, L. & Clemente, S., (2013). Assessing the impact of fishing in shallow rocky reefs: a multivariate approach to ecosystem management. Mar. Pollut. Bull. 76: 203–213. https://doi.org/10.1016/j.marpolbul.2013.08.041.
  79. Scorza, F., & Gatto, R. V. (2023). Identifying territorial values for tourism development: The case study of Calabrian Greek Area. Sustainability, 15(6), 5501.
  80. Shafa’Salsabila, N., Wiralaga, H. K., & Sebayang, K. D. A. (2024). the influence of the number of hotels, the number of tourists, and the length of stay of tourists on tourism levy revenue in central java in 2017-2022. International Journal of Current Economics & Business Ventures, 4(1).
  81. Shao, N. F., Yang, S. T., Sun, Y., Gai, Y., Zhao, C. S., Wang, F. & Dong, B. (2019). Assessing aquatic ecosystem health through the analysis of plankton biodiversity. Marine and Freshwater Research, 70(5), 647-655.
  82. Shen, W., Zheng, Z., Pan, L., Qin, Y. & Li, Y. (2020). A Integrated Method For Assessing The Urban Ecosystem Health Of Rapid Urbanized Area in China based on SFPHD Framework. Ecol. Indic, 121, 107071.
  83. Shin, H. H., Kim, J., & Jeong, M. (2023). Memorable tourism experience at smart tourism destinations: Do travelers' residential tourism clusters matter?. Tourism Management Perspectives, 46, 101103.
  84. Silva, S., Silva, L. F., & Vieira, A. (2023). Protected areas and nature-based tourism: A 30-year bibliometric review. Sustainability, 15(15), 11698.
  85. Singh, P., Bhatt, V., Mishra, S., & Tyagi, P. K. (2024). Emerging Trends and Challenges in Reducing and Disposing of Food Waste Through Sustainable Tourism Practices at Tourist Destinations. Sustainable Disposal Methods of Food Wastes in Hospitality Operations, 145-153.
  86. Sivaci, R. E., Barinova, S., Solak, C. N., & Çobanoglu, K. (2013). Ecological assessment of Great Lota Lake (Turkey) on the base of diatom communities. African Journal of Biotechnology, 12(5).
  87. Song D., Gao Z., Zhang H., Xu F., & Zheng X., Ai J. (2017). GIS-based health assessment of the marine ecosystem in Laizhou Bay, China. Mar. pollut. Bull. 125, 242–249. doi: 10.1016/j.marpolbul.2017.08.027.
  88. Sonne, C., Letcher, R. J., Jenssen, B. M., Desforges, J. P., Eulaers, I., Andersen-Ranberg, E., & Dietz, R. (2020). Sled dogs as sentinel species for monitoring Arctic ecosystem health. Pets as Sentinels, Forecasters and Promoters of Human Health, 21-45.
  89. Stojanović, T., Trišić, I., Brđanin, E., Štetić, S., Nechita, F., & Candrea, A. N. (2024). Natural and sociocultural values of a tourism destination in the function of sustainable tourism development—An example of a protected area. Sustainability, 16(2), 759.
  90. Su, M., Fath, B.D. & Yang, Z. (2010). Urban Ecosystem Health Assessment: A Review. Sci. Total Environ, 408, 2425–2434.
  91. Sun, B. D., Cui, L. J., Li, W., & Kang, X. M. (2017). Dominant ecosystem services of Shuangtai estuary wetland based on different beneficiaries. Chinese Journal of Ecology, 36(1), 164.
  92. Sun, Y. Y., Cadarso, M. A., & Driml, S. (2020). Tourism carbon footprint inventories: A review of the environmentally extended input-output approach. Annals of tourism research, 82, 102928.
  93. Sun, T. T., Lin, W. P., Chen, G. S., Guo, P. P., & Zeng, Y. (2016), Wetland ecosystem health assessment through integrating remote sensing and inventory data with an assessment model for the Hangzhou Bay, China. Science of the Total Environment, 566, 627-640.
  94. Sun, Q., & Wen, Z. (2019). Effect of Tourism Development on the Urban Soil and Ecological Environment. – Journal of Shandong Agricultural University (Natural Science Edition) 50, 1065-1070.
  95. Sun, Z., Xue, W., Kang, D., & Peng, Z. (2024). Assessment of Ecosystem Service Values of Urban Wetland: Taking East Lake Scenic Area in Wuhan as an Example. Land, 13(7), 1013.
  96. Taherdoost, H., & Madanchian, M. (2023). Analytic Network Process (ANP) Method: A Comprehensive Review of Applications, Advantages, and Limitations. Journal of Data Science and Intelligent Systems.
  97. Tett, P., Gowen, R.J., Painting, S.J., Elliott, M., Forster, R., Mills, D.K., Bresnan, E., Capuzzo, E., Fernandes, T.F., Foden, J., Geider, R.J., Gilpin, L.C., Huxham, M., McQuatters-Gollop, A.L., Malcolm, S.J., Saux-Picart, S., Platt, T., Racault, M.F., Sathyendranath, S., Van Der Molen, J. & Wilkinson, M. (2013). Framework for understanding marine ecosystem health. Mar. Ecol. Prog. Ser, 494, 1–27. https:// doi.org/10.3354/meps10539.
  98. Toro, I.D., Ribbons, R.R. & Pelini, S.L. (2014). The Little Things that Run the World Revisited: A Review of Ant-Mediated Ecosystem Services and Disservices (Hymenoptera: Formicidae). Myrmecol. News, 17, 133–146.
  99. Trull, O., Peiró-Signes, A., & García-Díaz, J. C. (2019). Electricity forecasting improvement in a destination using tourism indicators. Sustainability, 11(13), 3656.
  100. UNWTO. (2017). Glossary of Tourism Terms. https://www.unwto.org/glossary-tourism-terms.
  101. Usman, M., Yaseen, M. R., Kousar, R., & Makhdum, M. S. A. (2021). Modeling financial development, tourism, energy consumption, and environmental quality: Is there any discrepancy between developing and developed countries?. Environmental Science and Pollution Research, 28(41), 58480-58501.
  102. Wang, X. (2022). Changes in cultivated land loss and landscape fragmentation in China from 2000 to 2020. Land, 11(5), 684.
  103. Wang, H., Xi, H., Xu, L., Jin, M., Zhao, W., & Liu, H. (2021). Ecotoxicological effects, environmental fate and risks of pharmaceutical and personal care products in the water environment: a review. Science of the Total Environment, 788, 147819.
  104. Wang, Y.T., Cheng, H.X., Huang, L. (2018). Water resources carrying capacity evaluation of a dense city group: a comprehensive water resources carrying capacity evaluation model of Wuhan urban agglomeration. Urban Water J, 15 (7), 615–625.
  105. Weng, G.M., Pan, Y., Li, L.Y. & Song, N. (2019). Research on dynamic evaluation of tourism eco-health condition in the silk road. Ecological Economy, 35 (5), 135.
  106. Wang, C., Yan, S., Wang, X., Xu, Z., Xiong, J., Wu, Z., & Meng, X. (2021). Assessment on Ecological Services Using Trends of Net Primary Productivity: A Case Study of Shennongjia Forest Reserve. In 2021 28th International Conference on Geoinformatics (pp. 1-7). IEEE.
  107. Wike, L. D., Martin, F. D., Paller, M. H., & Nelson, E. A. (2010). Impact of forest seral stage on use of ant communities for rapid assessment of terrestrial ecosystem health. Journal of Insect Science, 10(1), 77.
  108. Wu, Z., Chen, R., Meadows, M.E., Liu, X. (2021). Application of the Ocean Health Index to Assess Ecosystem Health for the Coastal Areas of Shanghai, China. Ecol. Indic, 126: 107650.
  109. Xiang ZhenLong, X. Z., Chen Hai, C. H., Li Chen, L. C., Yin XuWang, Y. X., Xu ZongXue, X. Z., & Zhang Yuan, Z. Y. (2016). Application of diatom index in assessment of aquatic ecosystem health in Taizi River, China.
  110. Xiao, X., Li, P., & Seekamp, E. (2024). Sustainable adaptation planning for cultural heritage in coastal tourism destinations under climate change: a mixed-paradigm of preservation and conservation optimization. Journal of Travel Research, 63(1), 215-233.
  111. Xiao, R., Liua, Y., Feib, X., Yua, W., Zhangd, Z. & Meng, Q. (2019). Ecosystem health assessment: A comprehensive and detailed analysis of the case study in coastal metropolitan region, eastern China. Ecological Indicators, 363-376.
  112. Xu, S.G., Zuo, Y.F., Law, R., Zhang, M., Han, J.Y., Li, G.P. & Meng, J.W. (2022). Coupling coordination and spatiotemporal dynamic evolution between medical services and tourism development in China. Front Public Health. 10:731251. doi: 10.3389/fpubh.2022.731251.
  113. Zhang, B., Fu, Z., Wang, J., & Zhang, L. (2019). Farmers’ adoption of water-saving irrigation technology alleviates water scarcity in metropolis suburbs: A case study of Beijing, China. Agricultural Water Management, 212, 349-357.
  114. Zhang, P., Jia, Y., Shi, J., Chen, C., Ye, W., Wang, Y. & Qiao, Y. (2019). The WY domain in the Phytophthora effector PSR 1 is required for infection and RNA silencing suppression activity. New Phytologist, 223(2), 839-852.