Geographic Information System (GIS) for ecology: a bibliometric network analysis
DOI:
https://doi.org/10.12775/EQ.2024.006Keywords
ecology, GIS, bibliometric analysis, environmental monitoring, land use, remote sensingAbstract
Introduced in 1960s to store, analyse, and manipulate data collected for the Canada Land Inventory by mapping information about soils, agriculture, recreation, wildlife, waterfowl, forestry and land use, since their origins Geographic Information Systems (GISs) have had a fundamental role in the study of the environment. As computers systems for capturing, storing, checking, and displaying data related to positions on Earth's surface, GISs have quickly become an effective and powerful tool for addressing ecological issues, analysing the relationship between living things and their habitats, assessing the environmental impact of man-made transformations of a territory. This article aims to show and discuss the results of a study concerning quantitative distribution of GIS for ecology in literature from Scopus database using bibliometric analysis. Bibliometric analysis is a scientific computer assisted review methodology to explore the major research interests in scientific literature, so to identify core research authors, as well as their relationship, by covering articles, conference papers, book chapters and reviews related to a given topic or field. The high number of scientific manuscripts published on the subject (5,204) in the analysed period (1979-2021), remarked the soundness of this topic. While China shows the greatest number of published documents, USA is the country with the most cited documents. Specifically, “remote sensing”, “spatial analysis” and “land use” are the keywords most frequently linked to GIS and ecology, so to underline respectively three aspects: the relevance of environment monitoring by satellite, airplane or drone, the utility of relating ecological questions to the geo-localization, the necessity of produce thematic maps for describing the economic and cultural activities (e.g., agricultural, residential, industrial, and recreational uses) that are practiced at a given place. Since the study shows that trend of publications focusing on the application of GIS for ecology is increasing, further growing is expected in the next future, also considering the ductility that these computer systems provide in different fields.
References
Agrawal S., & Gupta, R. D., 2017, Web GIS and its architecture: a review. Arabian Journal of Geosciences, 10(23), 1-13. https://doi.org/10.1007/s12517-017-3296-2
Alcaras, E., Amoroso, P. P., Figliomeni, F. G., Parente, C., & Prezioso, G. 2022, Accuracy Evaluation of Coastline Extraction Methods in Remote Sensing: a Smart Procedure for SENTINEL-2 Images. The International Archives of Photogrammetry, Remote Sensing and
Spatial Information Sciences, 48, 13-19. https://doi.org/10.5194/isprs-archives-XLVIII-4-W3-2022-13-2022
Alcaras E., Amoroso P. P., Parente C., & Prezioso G., 2021, Remotely Sensed Image Fast Classification And Smart Thematic Map Production. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021- 43-2021
Alcaras, E., Parente, C., & Vallario, A. 2019, Integration of Nautical Charts and Satellite Images in Marine GIS of the Gulf of Naples. In Nautical and Maritime Culture, from the Past to the Future (pp. 1-10). IOS Press. https://doi.org/10.3233/PMST190002
Alqurashi, A., & Kumar, L. 2013., Investigating the use of remote sensing and GIS techniques to detect land use and land cover change: A review. Advances in Remote Sensing. https://doi.org/10.4236/ars.2013.22022
Andersen, N., & Swami, V. 2021., Science mapping research on body image: a bibliometric review of publications in body image, 2004–2020. Body image, 38, 106-119. https://doi.org/10.1016/j.bodyim.2021.03.015
Bailey R. G.,1976, Ecoregions of the United States (map). Ogden, UT: US Department of Agriculture, US Forest Service, Intermountain Region.
Bartz Petchenik B., 1979, From place to space: the psychological achievement of thematic mapping. The American Cartographer, 6(1), 5-12. https://doi.org/10.1559/152304079784022763
Batish D. R., Kohli R. K., Jose S., & Singh H. P., 2007, Ecological basis of agroforestry.
CRC press. https://doi.org/10.1201/9781420043365
Bibby, P., & Shepherd, J. 2000., GIS, land use, and representation. Environment and planning B: Planning and Design, 27(4), 583-598. https://doi.org/10.1068/b2647
Bishop A. A., Hoback W. W., Albrecht M., & Skinner K. M., 2002, A comparison of an ecological model and GIS spatial analysis to describe niche partitioning amongst carrion beetles in Nebraska. Transactions in GIS, 6(4), 457-470. https://doi.org/10.1111/1467-9671.00122
Boateng, I., 2012., GIS assessment of coastal vulnerability to climate change and coastal adaption planning in Vietnam. Journal of Coastal Conservation, 16(1), 25-36. https://doi.org/10.1007/s11852-011-0165-0
Böhm M., & Popescu V. D., 2016, Landscape ecology, biogeography, and GIS methods. Reptile Ecology and Conservation: A Handbook of Techniques, 298.
Brzeziecki, B., Kienast, F., & Wildi, O., 1995., Modelling potential impacts of climate change on the spatial distribution of zonal forest communities in Switzerland. Journal of Vegetation Science, 6(2), 257-268. https://doi.org/10.2307/3236221
Choi Y. D., 2007, Restoration ecology to the future: a call for new paradigm. Restoration Ecology, 15(2), 351-353. https://doi.org/10.1111/j.1526-100X.2007.00224.x
Chuvieco, E., 1993., Integration of linear programming and GIS for land-use modelling. International Journal of Geographical Information Science, 7(1), 71-83. https://doi.org/10.1080/02693799308901940
Clarke K.C., 1986, Advances in geographic information systems, computers, environment and urban systems, Vol. 10, pp. 175–184. https://doi.org/10.1016/0198-9715(86)90006-2
Costanza R., Cumberland J. H., Daly, H., Goodland, R., & Norgaard, R. B., 1997, An introduction to ecological economics. CRC Press. https://doi.org/10.1201/9781003040842
Cronk L., 1991, Human behavioral ecology. Annual Review of Anthropology, 25-53. https://doi.org/10.1146/annurev.an.20.100191.000325
Denny P., 2012, The ecology and management of African wetland vegetation: A botanical account of African swamps and shallow waterbodies (Vol. 6). Springer Science and Business Media. https://doi.org/10.1007/978-94-009-5504-2
Duncan A. L., & Lach D. H., 2006, Privileged knowledge and social change: effects on different participants of using geographic information systems technology in natural resource management. Environmental management, 38(2), 267-285. https://doi.org/10.1016/0198-
(86)90006-2
Egenhofer M. J., & Kuhn W., 1998, Beyond desktop GIS. GIS PlaNET, Lisbon, Portugal.
Fensholt R., & Proud S. R., 2012, Evaluation of earth observation based global long term vegetation trends—Comparing GIMMS and MODIS global NDVI time series. Remote sensing of Environment, 119, 131-147. https://doi.org/10.1016/j.rse.2011.12.015
Ferretti F., Sboarina C., Tattoni C., Vitti A., Zatelli P., Geri F., Pompei E., Ciolli M., 2018, The 1936 Italian Kingdom Forest Map reviewed: A dataset for landscape and ecological research. Ann. Silvic. Res, 42, 3-19. http://dx.doi.org/10.12899/asr-1411
Figliomeni, F. G., & Parente, C. 2022, Bathymetry from satellite images: a proposal for adapting the band ratio approach to IKONOS data. Applied Geomatics, 1-17. https://doi.org/10.1007/s12518-022- 00465-9
Fu P., & Sun J., 2011, Web GIS: principles and applications (pp. 89-114). Redlands: Esri Press.
Gough M. C., & Rushton S. P., 2000, The application of GIS‐modelling to mustelid landscape ecology. Mammal review, 30(3‐4), 197-216. https://doi.org/10.1046/j.1365- 2907.2000.00067.x
Huntley, B., Berry, P. M., Cramer, W., & McDonald, A. P., 1995., Special paper: modelling present and potential future ranges of some European higher plants using climate response surfaces. Journal of biogeography, 967-1001. https://doi.org/10.2307/2845830
Jenning S., Kaiser M., & Reynolds J. D., 2009, Marine fisheries ecology. John Wiley and Sons. https://doi.org/10.1577/1548-8659(2003)132%3C0619:BR%3E2.0.CO;2
Jo M. H., Lee M. B., Lee S. Y., Kim J. B., Kwon B. K., & Heo Y. J., 2004, Developing Mobile GIS Spatial Data Compression Method for Forest Fire Extinguishment Information Management. Journal of the Korean Association of Geographic Information Studies, 7(2), 78-86.
Johnston C.A., 1998, Geographical Information Systems in Ecology. Oxford, Blackwell
Science.
Joy M. K., & Death R. G., 2004, Predictive modelling and spatial mapping of freshwater fish and decapod assemblages using GIS and neural networks. Freshwater Biology, 49(8), 1036-1052. https://doi.org/10.1111/j.1365-2427.2004.01248.xKeith, D. A., Ferrer-Paris, J. R.,
Nicholson, E., & Kingsford, R. T., 2020., IUCN Global Ecosystem Typology 2.0. International Union for Conservation of Nature. https://doi.org/10.2305/IUCN.CH.2020.13.en
Kitron U., 1998, Landscape ecology and epidemiology of vector-borne diseases: tools for spatial analysis. Journal of medical entomology 35.4: 435-445.
https://doi.org/10.1093/jmedent/35.4.435
Kitsiou, D., Coccossis, H., & Karydis, M., 2002., Multi-dimensional evaluation and ranking of coastal areas using GIS and multiple criteria choice methods. Science of the total environment, 284(1-3), 1-17. https://doi.org/10.1016/S0048-9697(01)00851-8
Levin S. A. 1992, The problem of pattern and scale in ecology: the Robert H. MacArthur award lecture. Ecology, 73(6), 1943-1967. https://doi.org/10.2307/1941447
Li X., Rowley R. J., Kostelnick J. C., Braaten D., Meisel J., & Hulbutta K., 2009, GIS analysis of global impacts from sea level rise. Photogrammetric Engineering & Remote Sensing, 75(7), 807-818. https://doi.org/10.14358/PERS.75.7.807
Lichter M., & Felsenstein D., 2012, Assessing the costs of sea-level rise and extreme flooding at the local level: A GIS-based approach. Ocean and Coastal Management 59: 47-62. https://doi.org/10.1016/j.ocecoaman.2011.12.020
Liebhold A. M., & Gurevitch J., 2002, Integrating the Statistical Analysis of Spatial Data in Ecology. Ecography, 25(5), 553–557. http://www.jstor.org/stable/3683660
Luoto M., 2000, Spatial analysis of landscape ecological characteristics of five agricultural areas in Finland by GIS. Fennia, 178(1), 15-54.
Madani, F. 2015, ‘Technology Mining’bibliometrics analysis: applying network analysis and cluster analysis. Scientometrics, 105(1), 323-335. https://doi.org/10.1007/s11192-015-1685-4
Millington A. C., Walsh S. J., & Osborne, P. E., 2013, GIS and remote sensing applications in biogeography and ecology (Vol. 626). Springer Science and Business Media. https://doi.org/10.1007/978-1-4615-1523-4
Mitchell R. J., Hiers J. K., O'Brien J., and Starr, G., 2009, Ecological forestry in the Southeast: understanding the ecology of fuels. Journal of Forestry, 107(8), 391-397.
https://doi.org/10.1093/jof/107.8.391
Mollalo A., Sadeghian A., Israel G. D., Rashidi P., Sofizadeh A., & Glass G. E., 2018, Machine learning approaches in GIS-based ecological modeling of the sand fly Phlebotomus papatasi, a vector of zoonotic cutaneous leishmaniasis in Golestan province, Iran. Acta tropica, 188, 187-194. https://doi.org/10.1016/j.actatropica.2018.09.004
Navarro Cerrillo R. M., Palacios Rodríguez G., Clavero Rumbao I., Lara M. Á., Bonet F. J., & Mesas-Carrascosa F. J., 2020, Modeling major rural land-use changes using the GIS-based cellular automata metronamica model: The case of Andalusia (Southern Spain). ISPRS International Journal of Geo-Information, 9(7), 458. https://doi.org/10.3390/ijgi9070458
Neumann J. E., Hudgens D. E., Herter J., & Martinich J., 2010, Assessing sea-level rise impacts: a GIS-based framework and application to coastal New Jersey. Coastal management 38.4: 433-455. https://doi.org/10.1080/08920753.2010.496105
Niemelä J., 1999, Ecology and urban planning. Biodiversity and Conservation, 8(1), 119- 131. https://doi.org/10.1023/A:1008817325994
Noyons E. C., Moed H. F., & Luwel M., 1999, Combining mapping and citation analysis for evaluative bibliometric purposes: A bibliometric study. Journal of the American society for Information Science, 50(2), 115-131. https://doi.org/10.1002/(SICI)1097-4571(1999)50:2<115::AID- ASI3>3.0.CO;2-J
Odum E. P., & Barrett G. W., 1971, Fundamentals of ecology (Vol. 3, p. 5). Philadelphia: Saunders.
Oladinrin, O. T., Arif, M., Rana, M. Q., & Gyoh, L., 2022., Interrelations between construction ethics and innovation: a bibliometric analysis using VOSviewer. Construction Innovation. https://doi.org/10.1080/15623599.2020.1819584
Paramasivam C. R., & Venkatramanan S., 2019. An introduction to various spatial analysis techniques. GIS and geostatistical techniques for groundwater science, 23-30. https://doi.org/10.1016/B978-0-12-815413-7.00003-1
Richmond C., Elliott S. J., Matthews R., & Elliott B., 2005, The political ecology of health: perceptions of environment, economy, health and well-being among ‘Namgis First Nation. Health and place, 11(4), 349-365. https://doi.org/10.1016/j.healthplace.2004.04.003
Schneider D. C., 2001, The Rise of the Concept of Scale in Ecology: The concept of scale is evolving from verbal expression to quantitative expression, BioScience, Volume 51, Issue 7, July 2001, Pages 545–553, https://doi.org/10.1641/0006-3568(2001)051[0545:TROTCO]2.0.CO;2
Scott M.J., Heglund P.J., Morrison M.L., Haufler J.B., Raphael M.G., Wall W.A., Samson F.B., 2002, Predicting species occurrences: issues of accuracy and scale. Island Press, Washington.
Simoonga C., Utzinger J., Brooker S., Vounatsou P., Appleton C.C., Stensgaard A.S., Olsen A., Kristensen T.K., 2009, Remote sensing, geographical information system and spatial analysis for schistosomiasis epidemiology and ecology in Africa. Parasitology 136.13 (2009): 1683-1693. https://doi.org/10.1017/S0031182009006222
Singh A, 2019, Remote sensing and GIS applications for municipal waste management. Journal of environmental management, 243, 22-29. https://doi.org/10.1016/j.jenvman.2019.05.017
Tamala, J. K., Maramag, E. I., Simeon, K. A., & Ignacio, J. J. 2022., A bibliometric analysis of sustainable oil and gas production research using VOSviewer. Cleaner Engineering and Technology, 7, 100437. https://doi.org/10.1016/j.clet.2022.100437
Tan, G., & Shibasaki R., 2003, Global estimation of crop productivity and the impacts of global warming by GIS and EPIC integration. Ecological Modelling, 168(3), 357-370. https://doi.org/10.1016/S0304-3800(03)00146-7
Thanuskodi S., 2010, Journal of Social Sciences: A bibliometric study. Journal of Social Sciences, 24(2), 77-80. https://doi.org/10.1080/09718923.2010.11892847
Urbański, J. A., & Szymelfenig, M., 2003., GIS-based mapping of benthic habitats. Estuarine, coastal and shelf science, 56(1), 99-109. https://doi.org/10.1016/S0272- 7714(02)00125-7
Van Eck N. J., & Waltman L., 2020, VOSviewer Manual: Manual for VOSviewer version
6. 16. Leiden: Centre for Science and Technology Studies (CWTS) of Leiden University.
Vandecasteele, A., Devillers, R., & Napoli, A., 2014., From movement data to objects behavior using semantic trajectory and semantic events. Marine Geodesy, 37(2), 126-144. https://doi.org/10.1080/01490419.2014.902885
Vogiatzakis I. N., 2003, GIS-based modelling and ecology: a review of tools and methods. Department of Geography, University of Reading.
Walker, D. A., & Walker, M. D. 1991, History and pattern of disturbance in Alaskan arctic terrestrial ecosystems: a hierarchical approach to analysing landscape change. Journal of Applied Ecology, 244-276. https://doi.org/10.2307/2404128
Waltman, L., Van Eck, N. J., & Noyons, E. C., 2010., A unified approach to mapping and clustering of bibliometric networks. Journal of informetrics, 4(4), 629-635. https://doi.org/10.1016/j.joi.2010.07.002
Wezel A., Bellon S., Doré T., Francis C., Vallod D., & David C., 2009, Agroecology as a science, a movement and a practice. A review. Agronomy for sustainable development, 29(4), 503- 515. https://doi.org/10.1051/agro/2009004
Wiens J. A., 1989, Spatial scaling in ecology. Functional ecology, 3(4), 385-397. https://doi.org/10.2307/2389612
Wiens J. J., Ackerly D. D., Allen A. P., Anacker B. L., Buckley L. B., Cornell H. V., Damschen E.I., Davies T.J., Grytnes J.A., Harrison S.P., Hawkins B.A., Holt R.D., McCain C.M., & Stephens, P.R., 2010, Niche conservatism as an emerging principle in ecology and conservation biology. Ecology letters, 13(10), 1310-1324. https://doi.org/10.1111/j.1461-0248.2010.01515.x
Yu, Y., Li, Y., Zhang, Z., Gu, Z., Zhong, H., Zha, Q., ... & Chen, E., 2020., A bibliometric analysis using VOSviewer of publications on COVID-19. Annals of translational medicine, 8(13). https://doi.org/10.21037%2Fatm-20-4235
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