Integrating hemeroby into environmental assessment: Trends and future perspectives

  • N. Falko Bogdan Khmelnitsky Melitopol State Pedagogical University
  • H. Tutova Bogdan Khmelnitsky Melitopol State Pedagogical University
  • K. Panchenko Poltava State Agrarian University
  • O. Lisovets Oles Honchar Dnipro National University
  • O. Kunakh Oles Honchar Dnipro National University
  • O. Zhukov Bogdan Khmelnitsky Melitopol State Pedagogical University
Keywords: anthropogenic disturbance, ecological indicator, urban biodiversity, habitat degradation, naturalness, land-use impact, environmental assessment.

Abstract

Hemeroby is a widely used ecological concept designed to quantify the degree of anthropogenic disturbance in natural ecosystems. Since its introduction in the 1950s, it has evolved into a versatile indicator applicable across various spatial scales, land use types and ecological contexts. Despite its extensive use, the concept is methodologically diverse and is applied inconsistently, which limits its potential for standardized environmental assessment. In this study, we conducted a bibliometric ana l ysis and topic modelling of 228 peer-reviewed articles to identify key research areas and emerging trends in hemeroby-related studies. Five major thematic clusters were identified: (1) landscape-scale disturbance; (2) naturalness assessment; (3) water quality and aquatic vegetation; (4) urban biodiversity; and (5) habitat degradation. The two most influential topics, urban biodiversity and habitat degradation, together account for over 60% of all publications. Latent Dirichlet Allocation (LDA) was employed to explore the thematic structure and relationships between topics. Citation analysis revealed that papers with moderate thematic novelty and interdisciplinary linkages tend to have higher citation rates. Studies focusing on habitat degradation ( topic 5) were the most conceptually cohesive and widely cited due to the consistent application of phytosociological and floristic methods. In contrast, studies on water quality (topic 3) were less integrated into the hemeroby framework and showed lower conceptual cohesion. The concept of hemeroby has become increasingly prevalent in spatial ecological modelling, urban ecosystem assessment and life cycle environmental impact analysis (LCA). Recent advances have emphasized the integration of hemeroby with the functional traits of species, remote sensing and GIS-based land use mapping. Particular attention is given to its role as a proxy for landscape naturalness, and to its usefulness in detecting ecological thresholds, restoration potential and functional degradation in urban and semi-natural systems. The concept has also been adapted for evaluating the impact of human activity on soil (soil hemeroby) and freshwater habitats. However, challenges remain, including subjectivity in expert-based scoring, variability across regional applications and limited taxonomic resolution in certain groups. Future research should focus on standardising evaluation protocols, expanding the range of indicator taxa (e.g. soil fauna and microflora) and integrating hemeroby into broader ecosystem condition and nature-based solution frameworks. Hemeroby thus has great p o tential to inform policy, guide land use planning and enhance the effectiveness of environmental monitoring and biodiversity conservation in the face of increasing anthropogenic pressure.

References

Bernhardt-Römermann, M., Gray, A., Vanbergen, A. J., Bergès, L., Bohner, A., Brooker, R. W., De Bruyn, L., De Cinti, B., Dirnböck, T., Grandin, U., Hester, A. J., Kanka, R., Klotz, S., Loucougaray, G., Lundin, L., Matteucci, G., Mészáros, I., Oláh, V., Preda, E., … Stadler, J. (2011). Functional traits and local environment predict vegetation responses to disturbance: A pan-European multi-site experiment. Journal of Ecology, 99(3), 777–787.

Bouchet-Valat, M. (2023). SnowballC: Snowball Stemmers Based on the C “libstemmer” UTF-8 Library.

Brentrup, F., Küsters, J., Lammel, J., Barraclough, P., & Kuhlmann, H. (2004). Environmental impact assessment of agricultural production systems using the life cycle assessment (LCA) methodology II. The application to N fertilizer use in winter wheat production systems. European Journal of Agronomy, 20(3), 265–279.

Brugnoli, F., Sena, K., Zugno, L., & Oggioni, A. (2025). A global study on the life cycle assessment (LCA) of the modern cow leather industry. Discover Sustainability, 6(1), 80.

Budakova, V. S., Yorkina, N. V., Telyuk, P. M., Umerova, A. K., Kunakh, O. M., & Zhukov, O. V. (2021). Impact of recreational transformation of soil physical properties on micromolluscs in an urban park. Biosystems Diversity, 29(2), 78–87.

Cabrera-Bosquet, L., Molero, G., Stellacci, A., Bort, J., Nogués, S., & Araus, J. (2011). NDVI as a potential tool for predicting biomass, plant nitrogen content and growth in wheat genotypes subjected to different water and nitrogen conditions. Cereal Research Communications, 39(1), 147–159.

Carruthers-Jones, J., Guetté, A., Carver, S., Lefebvre, T., Vallauri, D., Debeir, L., Aykroyd, T., Barthod, C., Cavallin, P., Vallée, S., Benest, F., Cherel, E., Kun, Z., & Debuf, O. (2025). High-resolution naturalness mapping can support conservation policy objectives and identify locations for strongly protected areas in France. Communications Earth and Environment, 6(1), 279.

Eberle, U., & Mumm, N. (2024). Reduction potential of German environmental food impacts due to a planetary health diet. The International Journal of Life Cycle Assessment, 29(9), 1727–1737.

Erdős, L., Bede-Fazekas, Á., Bátori, Z., Berg, C., Kröel-Dulay, G., Magnes, M., Sengl, P., Tölgyesi, C., Török, P., & Zinnen, J. (2022). Species-based indicators to assess habitat degradation: Comparing the conceptual, methodological, and ecological relationships between hemeroby and naturalness values. Ecological Indicators, 136, 108707.

Fanelli, G., & De Lillis, M. (2004). Relative growth rate and hemerobiotic state in the assessment of disturbance gradients. Applied Vegetation Science, 7(1), 133–140.

Farmery, A. K., Jennings, S., Gardner, C., Watson, R. A., & Green, B. S. (2017). Naturalness as a basis for incorporating marine biodiversity into life cycle assessment of seafood. The International Journal of Life Cycle Assessment, 22(10), 1571–1587.

Fehrenbach, H., Grahl, B., Giegrich, J., & Busch, M. (2015a). Hemeroby as an impact category indicator for the integration of land use into life cycle (impact) assessment. International Journal of Life Cycle Assessment, 20(11), 1511–1527.

Fehrenbach, H., Grahl, B., Giegrich, J., & Busch, M. (2015b). Hemeroby as an impact category indicator for the integration of land use into life cycle (impact) assessment. The International Journal of Life Cycle Assessment, 20(11), 1511–1527.

Feinerer, I., Hornik, K., & Meyer, D. (2008). Text mining infrastructure in R. Journal of Statistical Software, 25(5), 1–54.

Fernández‐Cabello, I., Franch, M., Vilella, M., Fernandez-Arrieta, N., Rota, M., Sanglas, A., Baqué-Díaz, E., Gallardet, M., Federico, P., Peris, A., Serratosa, E., Real, J., Sayol, F., & Puig-Gironès, R. (2025). Assessing the role of habitat, climate, and anthropization gradients on terrestrial mammal diversity in the Western Mediterranean Basin. Integrative Zoology, 20(3), 485–503.

Finkbeiner, M., Roche, L., & Holzapfel, P. (2025). From analysis-LCA to message-LCA: A lost cause? The International Journal of Life Cycle Assessment, 30(5), 803–810.

Fuqiang, L. F., Tao, W. T., Guojun, J. G., Meng, X., Liying, T. L., Yong, Z. Y., Anning, S. A., & Lidong, Z. L. (2017). Dynamic response of the coastline and coastal landscape patterns to hemeroby: A case study along the south coast of Yingkou. Acta Ecologica Sinica, 37, 7427–7437.

Furtado, L. S., Pereira, R. V. S., & de Souza, E. B. (2024). Hemeroby mapping of the Belém landscape in Eastern Amazon and impact study of urbanization on the local climate. Urban Science, 8(1), 15.

Gao, R., Xu, X., Sun, J., & Wang, W. (2024). A study on the impact of port construction on the coastal zone based on remote sensing data: A case of Panjin Port. In: Jeng, D.-S., & Wan, D. (Eds.). Proceedings of 10th International Conference on Coastal and Ocean Engineering. Springer Nature, Singapore. Pp. 171–183.

Ghazali, M., Widoretno, W., Arumingtyas, E. L., & Retnaningdyah, C. (2022). Macroepiphyte biodiversity on Kappaphycus alvarezii surface and its interaction with environment in cultivation centers on Lombok Island, Indonesia. Biodiversitas Journal of Biological Diversity, 23(12), 6284–6292.

Godefroid, S., Monbaliu, D., & Koedam, N. (2007). The role of soil and microclimatic variables in the distribution patterns of urban wasteland flora in Brussels, Belgium. Landscape and Urban Planning, 80(1–2), 45–55.

Goel, V., Nautiyal, H., Kumar, J., Sethi, M., Alam, T., Singh, T., & Khargotra, R. (2025). Acidification potential estimation for small hydropower using LCA methodology in India. Scientific Reports, 15(1), 5768.

Gradict Semiun, C., Retnaningdyah, C., & Arisoesilaningsih, E. (2020). Structural modelling of riparian tree diversity and ecosystem degradation roles in determining the water quality of springs and its drains in East Java. Journal of Degraded and Mining Lands Management, 8(1), 2431–2438.

Grunewald, K., Richter, B., & Behnisch, M. (2019). Multi-indicator approach for characterising urban green space provision at city and city-district level in Germany. International Journal of Environmental Research and Public Health, 16(13), 2300.

Haslmayr, H.-P., Geitner, C., Sutor, G., Knoll, A., & Baumgarten, A. (2016). Soil function evaluation in Austria – Development, concepts and examples. Geoderma, 264, 379–387.

He, B., Chang, J., Guo, A., Wang, Y., Wang, Y., & Li, Z. (2022). Assessment of river basin habitat quality and its relationship with disturbance factors: A case study of the Tarim River Basin in Northwest China. Journal of Arid Land, 14(2), 167–185.

Hill, M. O., Roy, D. B., & Thompson, K. (2002). Hemeroby, urbanity and ruderality: Bioindicators of disturbance and human impact. Journal of Applied Ecology, 39(5), 708–720.

Jalas, J. (1953). Hemerokorit ja hemerobit. Luonnon Tutkija, 57, 12–16.

Jalas, J. (1955). Hemerobe und hemerochore Pflanzenarten. Ein terminologischer Reformversuch. Acta Societatis pro Fauna et Flora Fennica, 72, 1–15.

Jasinavičiūtė, A., & Veteikis, D. (2022). Assessing landscape instability through land-cover change based on the hemeroby index (Lithuanian example). Land, 11(7), 1056.

Ji, L., Li, Y., Zhang, G., & Bi, Y. (2021). Anthropogenic disturbances have contributed to degradation of river water quality in arid areas. Water, 13(22), 3305.

Jones, T. (2021). textmineR: Functions for Text Mining and Topic Modeling.

Kherwa, P., & Bansal, P. (2018). Topic modeling: A comprehensive review. ICST Transactions on Scalable Information Systems, 7(24), e2.

Koenker, R. (2024). quantreg: Quantile Regression.

Kolbek, J., Valachovič, M., & Mišíková, K. (2015). Wall vegetation in old Royal Mining Towns in Central Slovakia. Hacquetia, 14(2), 249–263.

Komlyk, Y., Ponomarenko, O., & Zhukov, O. (2024). A hemeroby gradient reveals the structure of bird communities in urban parks. Biosystems Diversity, 32(4), 426–436.

Kowarik, I. (1988). Zum menschlichen Einfluβ auf Flora und Vegetation. Theoretische Konzepte und ein Quantifizierungsansatz am Beispiel von Berlin (West). Landschaftsentwicklung Und Umweltforschung, 56, 1–280.

Kowarik, I. (1990). Some responses of flora and vegetation to urbanization in Central Europe. In: Sukopp, H., Hejny, S., & Kowarik, I. (Eds.). Plants and plant communities in the urban environment. SPB Academic Publishing, The Hague. Pp. 45–74.

Kunakh, O., Lisovets, O., & Zhukov, O. (2024). Hemeroby and naturalness differ in spatial patterns: The case of aquatic macrophytes. International Journal of Environmental Studies, 81, 2692–2706.

Kunakh, O., Lisovets, O., Podpriatova, N., & Zhukov, O. (2024). Plant community hemeroby is a reliable indicator of the dynamics of reclamation of lands disturbed by mining. Ekológia (Bratislava), 43(1), 43–53.

Lausch, A., Blaschke, T., Haase, D., Herzog, F., Syrbe, R.-U., Tischendorf, L., & Walz, U. (2015). Understanding and quantifying landscape structure – A review on relevant process characteristics, data models and landscape metrics. Ecological Modelling, 295, 31–41.

le Clech, S., van Bussel, L. G. J., Lof, M. E., de Knegt, B., Szentirmai, I., & Andersen, E. (2024). Effects of linear landscape elements on multiple ecosystem services in contrasting agricultural landscapes. Ecosystem Services, 67, 101616.

Lehtilä, A., Ghani, H. U., Liu, X., Forssén, A., & Leinonen, I. (2025). Land use and land use change emissions of forest land in Finnish provinces – an LCA dataset. The International Journal of Life Cycle Assessment, 30(5), 896–905.

Lindner, J., Fehrenbach, H., Winter, L., Bloemer, J., & Knuepffer, E. (2019). Valuing biodiversity in life cycle impact assessment. Sustainability, 11(20), 5628.

Lisovets, O., Khrystov, O., Kunakh, O., & Zhukov, O. (2024). Application of hemeroby and naturalness indicators for monitoring the aquatic macrophyte communities in protected areas. Biosystems Diversity, 32(2), 270–277.

Londe, V., Turini Farah, F., Ribeiro Rodrigues, R., & Roberto Martins, F. (2020). Reference and comparison values for ecological indicators in assessing restoration areas in the Atlantic Forest. Ecological Indicators, 110, 105928.

McRoberts, R. E., Winter, S., Chirici, G., & LaPoint, E. (2012). Assessing forest naturalness. Forest Science, 58(3), 294–309.

Pinke, G., Király, G., Barina, Z., Mesterházy, A., Balogh, L., Csiky, J., Schmotzer, A., Molnár, A. V., & Pál, R. W. (2011). Assessment of endangered synanthropic plants of Hungary with special attention to arable weeds. Plant Biosystems, 145(2), 426–435.

Podpriatova, N., Kunakh, O., & Zhukov, O. (2023). Which index is better for assessing the success of reclamation: Naturalness or hemeroby? Biosystems Diversity, 32(1), 30–42.

Ponomarenko, O., Komlyk, Y., Tutova, H., & Zhukov, O. (2024). Landscape diversity mapping allows assessment of the hemeroby of bird species in a modern industrial metropolis. Biosystems Diversity, 32(4), 470–483.

Rafaai, N. H., & Abdullah, S. A. (2024). Developing a composite index of conservation value to determine the conservation status of protected areas: The case of the Krau Wildlife Reserve and Tasek Bera Ramsar Site, Peninsular Malaysia. Journal for Nature Conservation, 82, 126758.

Raszka, B., & Kalbarczyk, E. (2015). Protection of a landscape park’s area in the spatial extent of impact of the Poznan agglomeration, Midwestern Poland. Ekológia (Bratislava), 34(3), 268–280.

Retnaningdyah, C., Arisoesilaningsih, E., Vidayanti, V., Salsabila, Q., & Purnomo, P. (2024a). Community structure and fish diversity in some mangrove ecosystems with varying levels of naturalness and human activity on Bawean Island, East Java, Indonesia. BIO Web of Conferences, 91, 01009.

Retnaningdyah, C., Arisoesilaningsih, E., Vidayanti, V., Salsabila, Q., & Purnomo, P. (2024b). The relationship between habitat quality and the diversity of phytoplankton, zooplankton, and nekton in mangrove ecosystems of Bawean Island, Indonesia. Biodiversitas Journal of Biological Diversity, 25(7), 3017–3026.

Retnaningdyah, C., Hakim, L., Hamzah, R., & Mana Sikana, A. (2019). Water quality evaluation of some beach with variations of human activities and land use in Spermonde Archipelago of Makassar South Sulawesi. IOP Conference Series: Earth and Environmental Science, 391(1), 012075.

Rinker, T. W. (2018). textstem: Tools for stemming and lemmatizing text. Buffalo, New York.

Rossi, V., Lehesvirta, T., Schenker, U., Lundquist, L., Koski, O., Gueye, S., Taylor, R., & Humbert, S. (2018). Capturing the potential biodiversity effects of forestry practices in life cycle assessment. The International Journal of Life Cycle Assessment, 23(6), 1192–1200.

Šantrůčková, M., Demková, K., Frantík, T., & Dostálek, J. (2025). Indices of human impacts on landscapes: How do they reflect the proportions of natural habitats? Open Life Sciences, 20(1), 20251085.

Semerdzhieva, L., & Borisova, B. (2021). Urban ecosystems assessment: An integrated approach to maintenance of habitats and their biodiversity. Journal of the Bulgarian Geographical Society, 45, 99–106.

Silva, F. L. da, Fushita, Â. T., Cunha-Santino, M. B. da, Bianchini Júnior, I., & Veneziani Júnior, J. C. T. (2021). Water resource management and hydrographic basin management in brazil: Basic elements, historic and strategies. Revista Brasileira de Geografia Física, 14(3), 1626–1653.

Steinhardt, U., Herzog, F., Lausch, A., Miller, E., & Lehmann, S. (1999). Hemeroby index for landscape monitoring and evaluation. In: Pykh, Y. A. (Ed.). Environmental indices – system analysis approach. EOLSS Publishing, Oxford. Pp. 237–254.

Sukopp, H. (1972). Wandel von Flora und Vegetation in Mitteleuropa unter dem Einfluβ des Menschen. Berichte Landwirtschaft, 50, 112–139.

Sukopp, H. (2004). Human-caused impact on preserved vegetation. Landscape and Urban Planning, 68(4), 347–355.

Sun, Y., Zhao, D., Wu, T., Wei, B., Gao, S., Li, Y., & Cao, F. (2012). Temporal and spatial dynamic changes and landscape pattern response of hemeroby in Dayang Estuary of Liaoning Province, China. Acta Ecologica Sinica, 32, 3645–3655.

Taelman, S. E., Schaubroeck, T., De Meester, S., Boone, L., & Dewulf, J. (2016). Accounting for land use in life cycle assessment: The value of NPP as a proxy indicator to assess land use impacts on ecosystems. Science of the Total Environment, 550, 143–156.

Testi, A., Fanelli, G., Crosti, R., Castigliani, V., & D’Angeli, D. (2012). Characterizing river habitat quality using plant and animal bioindicators: A case study of Tirino River (Abruzzo Region, Central Italy). Ecological Indicators, 20, 24–33.

Tian, Y., Liu, B., Hu, Y., Xu, Q., Qu, M., & Xu, D. (2020). Spatio-temporal land-use changes and the response in landscape pattern to hemeroby in a resource-based city. ISPRS International Journal of Geo-Information, 9(1), 20.

Tukiainen, H., Alahuhta, J., Field, R., Ala-Hulkko, T., Lampinen, R., & Hjort, J. (2017). Spatial relationship between biodiversity and geodiversity across a gradient of land-use intensity in high-latitude landscapes. Landscape Ecology, 32(5), 1049–1063.

Walz, U., & Stein, C. (2014). Indicators of hemeroby for the monitoring of landscapes in Germany. Journal for Nature Conservation, 22(3), 279–289.

Wellmann, T., Haase, D., Knapp, S., Salbach, C., Selsam, P., & Lausch, A. (2018). Urban land use intensity assessment: The potential of spatio-temporal spectral traits with remote sensing. Ecological Indicators, 85, 190–203.

Winter, S. (2012). Forest naturalness assessment as a component of biodiversity monitoring and conservation management. Forestry, 85(2), 293–304.

Wrbka, T., Erb, K. H., Schulz, N. B., Peterseil, J., Hahn, C., & Haberl, H. (2004). Linking pattern and process in cultural landscapes. An empirical study based on spatially explicit indicators. Land Use Policy, 21(3), 289–306.

Wu, T., Zha, P., Yu, M., Jiang, G., Zhang, J., You, Q., & Xie, X. (2021). Landscape pattern evolution and its response to human disturbance in a newly metropolitan area: A case study in Jin-Yi metropolitan area. Land, 10(8), 767.

Yorkina, N. V., Podorozhniy, S. M., Velcheva, L. G., Honcharenko, Y. V., & Zhukov, O. V. (2020). Applying plant disturbance indicators to reveal the hemeroby of soil macrofauna species. Biosystems Diversity, 28(2), 181–194.

Zebisch, M., Wechsung, F., & Kenneweg, H. (2004). Landscape response functions for biodiversity – assessing the impact of land-use changes at the county level. Landscape and Urban Planning, 67(1–4), 157–172.

Zelenova, V. O., Zelenov, P. V., & Tutova, G. F. (2024). Bioindication potentials of the grass stand and soil macrofauna for assessing the level of anthropogenic transformation of an urban park are complementary. Biosystems Diversity, 32(3), 306–313.

Zhen, H., Goglio, P., Hashemi, F., Cederberg, C., Fossey, M., & Trydeman Knudsen, M. (2025). Toward better biodiversity impact assessment of agricultural land management through life cycle assessment: A systematic review. Environmental Science and Technology, 59(15), 7440–7451.

Zhou, Y., Ning, L., & Bai, X. (2018). Spatial and temporal changes of human disturbances and their effects on landscape patterns in the Jiangsu coastal zone, China. Ecological Indicators, 93, 111–122.

Zinnen, J., Spyreas, G., Zaya, D. N., & Matthews, J. W. (2021). Niche ecology in floristic quality assessment: Are species with higher conservatism more specialized? Ecological Indicators, 121, 107078.

Published
2025-10-31
How to Cite
Falko, N., Tutova, H., Panchenko, K., Lisovets, O., Kunakh, O., & Zhukov, O. (2025). Integrating hemeroby into environmental assessment: Trends and future perspectives. Regulatory Mechanisms in Biosystems, 16(3), e25122. https://doi.org/10.15421/0225122