A distinctive feature of scholarly communities today is exploring topics and concepts in interdisciplinary and international contexts. This observation is increasingly apparent and visible in advancing our thinking and policies related to human/environmental worlds at local, regional, and global scales. Maps are an important part of these innovative and ongoing research approaches. In this context, we consider urban forests a topic meriting more attention of scholars studying the geographic and environmental intersections of the natural sciences with the social sciences and humanities. We construct two innovative knowledge bases, one a conceptual framework based on major themes and concepts related to mapping urban forests using key words of the first 100 results of a Google Scholar query and a second using the number of Google Scholar hyperlinks about mapping urban forests in 244 capital cities. We discovered that the constructed world maps reveal vast global unevenness in our knowledge about urban forests in hyperlink numbers and ratios, results that merit further attention by disciplinary, international and interdisciplinary scholarly communities.
References
[1]
Zhao, Z., Ren, J. and Wen, Y. (2020) Spatial Perception of Urban Forests by Citizens Based on Semantic Differences and Cognitive Maps. Forests, 11, Article 64. https://doi.org/10.3390/f11010064
[2]
Timilsina, S., Aryal, J. and Kirkpatrick, J.B. (2020) Mapping Urban Tree Cover Changes Using Object-Based Convolution Neural Network (OB-CNN). RemoteSensing, 12, Article 3017. https://doi.org/10.3390/rs12183017
[3]
Tozer, L., Hörschelmann, K., Anguelovski, I., Bulkeley, H. and Lazova, Y. (2020) Whose City? Whose Nature? Towards Inclusive Nature-Based Solution Governance. Cities, 107, Article ID: 102892. https://doi.org/10.1016/j.cities.2020.102892
[4]
United Nations (2018) World Urbanization Prospects: The 2018 Revision. https://www.un.org/en/desa/2018-revision-world-urbanization-prospects
[5]
Vierikko, K., Elands, B., Niemelä, J., Andersson, E., Buijs, A., Fischer, L.K., etal. (2016) Considering the Ways Biocultural Diversity Helps Enforce the Urban Green Infrastructure in Times of Urban Transformation. CurrentOpinioninEnvironmentalSustainability, 22, 7-12. https://doi.org/10.1016/j.cosust.2017.02.006
[6]
Lüttge, U. and Buckeridge, M. (2020) Trees: Structure and Function and the Challenges of Urbanization. Trees, 37, 9-16. https://doi.org/10.1007/s00468-020-01964-1
[7]
Pataki, D.E., Alberti, M., Cadenasso, M.L., Felson, A.J., McDonnell, M.J., Pincetl, S., etal. (2021) The Benefits and Limits of Urban Tree Planting for Environmental and Human Health. FrontiersinEcologyandEvolution, 9, Article 603757. https://doi.org/10.3389/fevo.2021.603757
[8]
Elhacham, E., Ben-Uri, L., Grozovski, J., Bar-On, Y.M. and Milo, R. (2020) Global Human-Made Mass Exceeds All Living Biomass. Nature, 588, 442-444. https://doi.org/10.1038/s41586-020-3010-5
[9]
Wolf, K.L., Lam, S.T., McKeen, J.K., Richardson, G.R.A., van den Bosch, M. and Bardekjian, A.C. (2020) Urban Trees and Human Health: A Scoping Review. InternationalJournalofEnvironmentalResearchandPublicHealth, 17, Article 4371. https://doi.org/10.3390/ijerph17124371
[10]
Alvarado, M., Lovell, R., Guell, C., Taylor, T., Fullam, J., Garside, R., etal. (2023) Street Trees and Mental Health: Developing Systems Thinking-Informed Hypotheses Using Causal Loop Diagraming. EcologyandSociety, 28, Article 1. https://doi.org/10.5751/es-14013-280201
[11]
Ordóñez-Barona, C. (2017) How Different Ethno-Cultural Groups Value Urban Forests and Its Implications for Managing Urban Nature in a Multicultural Landscape: A Systematic Review of the Literature. UrbanForestry&UrbanGreening, 26, 65-77. https://doi.org/10.1016/j.ufug.2017.06.006
[12]
Ordóñez Barona, C., Wolf, K., Kowalski, J.M., Kendal, D., Byrne, J.A. and Conway, T.M. (2022) Diversity in Public Perceptions of Urban Forests and Urban Trees: A Critical Review. LandscapeandUrbanPlanning, 226, Article ID: 104466. https://doi.org/10.1016/j.landurbplan.2022.104466
[13]
Kendal, D., Williams, N.S.G. and Williams, K.J.H. (2012) Drivers of Diversity and Tree Cover in Gardens, Parks and Streetscapes in an Australian City. UrbanForestry&UrbanGreening, 11, 257-265. https://doi.org/10.1016/j.ufug.2012.03.005
[14]
Kendal, D., Ford, R.M., Anderson, N.M. and Farrar, A. (2015) The VALS: A New Tool to Measure People’s General Valued Attributes of Landscapes. JournalofEnvironmentalManagement, 163, 224-233. https://doi.org/10.1016/j.jenvman.2015.08.017
[15]
Johnson, L.R., Johnson, M.L., Aronson, M.F.J., Campbell, L.K., Carr, M.E., Clarke, M., etal. (2020) Conceptualizing Social-Ecological Drivers of Change in Urban Forest Patches. UrbanEcosystems, 24, 633-648. https://doi.org/10.1007/s11252-020-00977-5
[16]
Sato, M., Aoshima, I. and Chang, Y. (2021) Connectedness to Nature and the Conservation of the Urban Ecosystem: Perspectives from the Valuation of Urban Forests. ForestPolicyandEconomics, 125, Article ID: 102396. https://doi.org/10.1016/j.forpol.2021.102396
[17]
Campbell, L.K., Svendsen, E.S., Johnson, M.L. and Plitt, S. (2022) Not by Trees Alone: Centering Community in Urban Forestry. LandscapeandUrbanPlanning, 224, Article ID: 104445. https://doi.org/10.1016/j.landurbplan.2022.104445
[18]
Svendsen, E.S. (2008) Urban Ecological Stewardship: Understanding the Structure, Function and Network of Community-Based Urban Land Management. CitiesandtheEnvironment, 1, 1-31. https://doi.org/10.15365/cate.1142008
[19]
Nesbitt, L., Meitner, M.J., Sheppard, S.R.J. and Girling, C. (2018) The Dimensions of Urban Green Equity: A Framework for Analysis. UrbanForestry&UrbanGreening, 34, 240-248. https://doi.org/10.1016/j.ufug.2018.07.009
[20]
Nesbitt, L., Meitner, M.J., Girling, C., Sheppard, S.R.J. and Lu, Y. (2019) Who Has Access to Urban Vegetation? A Spatial Analysis of Distributional Green Equity in 10 US Cities. LandscapeandUrbanPlanning, 181, 51-79. https://doi.org/10.1016/j.landurbplan.2018.08.007
[21]
Sax, D.L., Nesbitt, L. and Quinton, J. (2022) Improvement, Not Displacement: A Framework for Urban Green Gentrification Research and Practice. EnvironmentalScience&Policy, 137, 373-383. https://doi.org/10.1016/j.envsci.2022.09.013
[22]
Quinton, J., Nesbitt, L., Connolly, J.J. and Wyly, E. (2023) How Common Is Greening in Gentrifying Areas? UrbanGeography, 45, 1029-1051. https://doi.org/10.1080/02723638.2023.2258687
[23]
Abd-Elrahman, A.H., Thornhill, M.E., Andreu, M.G. and Escobedo, F. (2010) A Community-Based Urban Forest Inventory Using Online Mapping Services and Consumer-Grade Digital Images. InternationalJournalofAppliedEarthObservationandGeoinformation, 12, 249-260. https://doi.org/10.1016/j.jag.2010.03.003
[24]
Alonzo, M., Bookhagen, B. and Roberts, D.A. (2014) Urban Tree Species Mapping Using Hyperspectral and Lidar Data Fusion. RemoteSensingofEnvironment, 148, 70-83. https://doi.org/10.1016/j.rse.2014.03.018
[25]
Alonzo, M., Bookhagen, B., McFadden, J.P., Sun, A. and Roberts, D.A. (2015) Mapping Urban Forest Leaf Area Index with Airborne Lidar Using Penetration Metrics and Allometry. RemoteSensingofEnvironment, 162, 141-153. https://doi.org/10.1016/j.rse.2015.02.025
[26]
Anchang, J.Y., Ananga, E.O. and Pu, R. (2016) An Efficient Unsupervised Index Based Approach for Mapping Urban Vegetation from IKONOS Imagery. InternationalJournalofAppliedEarthObservationandGeoinformation, 50, 211-220. https://doi.org/10.1016/j.jag.2016.04.001
[27]
Banzhaf, E., Kollai, H. and Kindler, A. (2018) Mapping Urban Grey and Green Structures for Liveable Cities Using a 3D Enhanced OBIA Approach and Vital Statistics. GeocartoInternational, 35, 623-640. https://doi.org/10.1080/10106049.2018.1524514
[28]
Duan, Q., Tan, M., Guo, Y., Wang, X. and Xin, L. (2019) Understanding the Spatial Distribution of Urban Forests in China Using Sentinel-2 Images with Google Earth Engine. Forests, 10, Article 729. https://doi.org/10.3390/f10090729
[29]
Feng, Q., Liu, J. and Gong, J. (2015) UAV Remote Sensing for Urban Vegetation Mapping Using Random Forest and Texture Analysis. RemoteSensing, 7, 1074-1094. https://doi.org/10.3390/rs70101074
[30]
Ghosh, A., Sharma, R. and Joshi, P.K. (2014) Random Forest Classification of Urban Landscape Using Landsat Archive and Ancillary Data: Combining Seasonal Maps with Decision Level Fusion. AppliedGeography, 48, 31-41. https://doi.org/10.1016/j.apgeog.2014.01.003
[31]
Gu, H. and Townsend, P.A. (2016) Mapping Forest Structure and Uncertainty in an Urban Area Using Leaf-Off Lidar Data. UrbanEcosystems, 20, 497-509. https://doi.org/10.1007/s11252-016-0610-9
[32]
Huang, C., Yang, J., Clinton, N., Yu, L., Huang, H., Dronova, I., etal. (2021) Mapping the Maximum Extents of Urban Green Spaces in 1039 Cities Using Dense Satellite Images. EnvironmentalResearchLetters, 16, Article ID: 064072. https://doi.org/10.1088/1748-9326/ac03dc
[33]
Jeong, J. and Park, C.R. (2023) Developing a Mapping Procedure for Urban Forests Using Online Map Services and Sentinel-2a Images. UrbanForestry&UrbanGreening, 89, Article ID: 128095. https://doi.org/10.1016/j.ufug.2023.128095
[34]
Jing, W., Yang, Y., Yue, X. and Zhao, X. (2015) Mapping Urban Areas with Integration of DMSP/OLS Nighttime Light and MODIS Data Using Machine Learning Techniques. RemoteSensing, 7, 12419-12439. https://doi.org/10.3390/rs70912419
[35]
Lim, C.C., Kim, H., Vilcassim, M.J.R., Thurston, G.D., Gordon, T., Chen, L., etal. (2019) Mapping Urban Air Quality Using Mobile Sampling with Low-Cost Sensors and Machine Learning in Seoul, South Korea. EnvironmentInternational, 131, Article ID: 105022. https://doi.org/10.1016/j.envint.2019.105022
[36]
Myeong, S., Nowak, D.J. and Duggin, M.J. (2006) A Temporal Analysis of Urban Forest Carbon Storage Using Remote Sensing. Remote Sensing of Environment, 101, 277-282. https://doi.org/10.1016/j.rse.2005.12.001
[37]
Neyns, R. and Canters, F. (2022) Mapping of Urban Vegetation with High-Resolution Remote Sensing: A Review. RemoteSensing, 14, Article 1031. https://doi.org/10.3390/rs14041031
[38]
Raciti, S.M., Hutyra, L.R. and Newell, J.D. (2014) Mapping Carbon Storage in Urban Trees with Multi-Source Remote Sensing Data: Relationships between Biomass, Land Use, and Demographics in Boston Neighborhoods. ScienceoftheTotalEnvironment, 500, 72-83. https://doi.org/10.1016/j.scitotenv.2014.08.070
[39]
Schug, F., Frantz, D., Okujeni, A., van der Linden, S. and Hostert, P. (2020) Mapping Urban-Rural Gradients of Settlements and Vegetation at National Scale Using Sentinel-2 Spectral-Temporal Metrics and Regression-Based Unmixing with Synthetic Training Data. RemoteSensingofEnvironment, 246, Article ID: 111810. https://doi.org/10.1016/j.rse.2020.111810
[40]
Vatseva, R., etal. (2016) Mapping Green Spaces Based on Remote Sensing Data: Case Studies in Bratislava and Sofia. Proceedings of 6thInternationalConferenceonCartographyandGIS, Athens, 13-17 June 2016, 569-578.
[41]
Xiao, Q., Ustin, S.L. and McPherson, E.G. (2004) Using AVIRIS Data and Multiple-Masking Techniques to Map Urban Forest Tree Species. InternationalJournalofRemoteSensing, 25, 5637-5654. https://doi.org/10.1080/01431160412331291224
[42]
Zumwald, M., Knüsel, B., Bresch, D.N. and Knutti, R. (2021) Mapping Urban Temperature Using Crowd-Sensing Data and Machine Learning. UrbanClimate, 35, Article ID: 100739. https://doi.org/10.1016/j.uclim.2020.100739
[43]
Baumeister, C.F., Gerstenberg, T., Plieninger, T. and Schraml, U. (2022) Geography of Disservices in Urban Forests: Public Participation Mapping for Closing the Loop. EcosystemsandPeople, 18, 44-63. https://doi.org/10.1080/26395916.2021.2021289
[44]
Boehnke, D., Krehl, A., Mörmann, K., Volk, R., Lützkendorf, T., Naber, E., et al. (2022) Mapping Urban Green and Its Ecosystem Services at Microscale—A Methodological Approach for Climate Adaptation and Biodiversity. Sustainability, 14, Article 9029. https://doi.org/10.3390/su14159029
[45]
Brunetta, G. and Salata, S. (2019) Mapping Urban Resilience for Spatial Planning—A First Attempt to Measure the Vulnerability of the System. Sustainability, 11, Article 2331. https://doi.org/10.3390/su11082331
[46]
Chen, G., Ozelkan, E., Singh, K.K., Zhou, J., Brown, M.R. and Meentemeyer, R.K. (2017) Uncertainties in Mapping Forest Carbon in Urban Ecosystems. JournalofEnvironmentalManagement, 187, 229-238. https://doi.org/10.1016/j.jenvman.2016.11.062
[47]
Erker, T., Wang, L., Lorentz, L., Stoltman, A. and Townsend, P.A. (2019) A Statewide Urban Tree Canopy Mapping Method. RemoteSensingofEnvironment, 229, 148-158. https://doi.org/10.1016/j.rse.2019.03.037
[48]
Gillespie, T.W., de Goede, J., Aguilar, L., Jenerette, G.D., Fricker, G.A., Avolio, M.L., etal. (2016) Predicting Tree Species Richness in Urban Forests. UrbanEcosystems, 20, 839-849. https://doi.org/10.1007/s11252-016-0633-2
[49]
Hao, Z., Wang, C., Sun, Z., van den Bosch, C.K., Zhao, D., Sun, B., etal. (2021) Soundscape Mapping for Spatial-Temporal Estimate on Bird Activities in Urban Forests. UrbanForestry&UrbanGreening, 57, Article ID: 126822. https://doi.org/10.1016/j.ufug.2020.126822
[50]
Hawthorne, T.L., Elmore, V., Strong, A., Bennett-Martin, P., Finnie, J., Parkman, J., etal. (2015) Mapping Non-Native Invasive Species and Accessibility in an Urban Forest: A Case Study of Participatory Mapping and Citizen Science in Atlanta, Georgia. AppliedGeography, 56, 187-198. https://doi.org/10.1016/j.apgeog.2014.10.005
[51]
Kamusoko, C., Kamusoko, O.W., Chikati, E. and Gamba, J. (2021) Mapping Urban and Peri-Urban Land Cover in Zimbabwe: Challenges and Opportunities. Geomatics, 1, 114-147. https://doi.org/10.3390/geomatics1010009
[52]
Lahoti, S., Kefi, M., Lahoti, A. and Saito, O. (2019) Mapping Methodology of Public Urban Green Spaces Using GIS: An Example of Nagpur City, India. Sustainability, 11, Article 2166. https://doi.org/10.3390/su11072166
[53]
Li, F., Guo, S., Li, D., Li, X., Li, J. and Xie, S. (2020) A Multi-Criteria Spatial Approach for Mapping Urban Ecosystem Services Demand. EcologicalIndicators, 112, Article ID: 106119. https://doi.org/10.1016/j.ecolind.2020.106119
[54]
Li, X., Ratti, C. and Seiferling, I. (2017) Mapping Urban Landscapes along Streets Using Google Street View. In: Peterson, M., Ed., Advances in Cartography and GIScience, Springer International Publishing, 341-356. https://doi.org/10.1007/978-3-319-57336-6_24
[55]
McPherson, E.G., Xiao, Q. and Aguaron, E. (2013) A New Approach to Quantify and Map Carbon Stored, Sequestered and Emissions Avoided by Urban Forests. LandscapeandUrbanPlanning, 120, 70-84. https://doi.org/10.1016/j.landurbplan.2013.08.005
[56]
Magiera, T., Strzyszcz, Z. and Rachwal, M. (2007) Mapping Particulate Pollution Loads Using Soil Magnetometry in Urban Forests in the Upper Silesia Industrial Region, Poland. ForestEcologyandManagement, 248, 36-42. https://doi.org/10.1016/j.foreco.2007.02.034
Martins, G.B., La Rosa, L.E.C., Happ, P.N., Coelho, L.C.T., Santos, C.J.F., Feitosa, R.Q., etal. (2021) Deep Learning-Based Tree Species Mapping in a Highly Diverse Tropical Urban Setting. UrbanForestry&UrbanGreening, 64, Article ID: 127241. https://doi.org/10.1016/j.ufug.2021.127241
[59]
Nitoslawski, S.A., Galle, N.J., Van Den Bosch, C.K. and Steenberg, J.W.N. (2019) Smarter Ecosystems for Smarter Cities? A Review of Trends, Technologies, and Turning Points for Smart Urban Forestry. SustainableCitiesandSociety, 51, Article ID: 101770. https://doi.org/10.1016/j.scs.2019.101770
[60]
Nitoslawski, S.A., Wong‐Stevens, K., Steenberg, J.W.N., Witherspoon, K., Nesbitt, L. and Konijnendijk van den Bosch, C.C. (2021) The Digital Forest: Mapping a Decade of Knowledge on Technological Applications for Forest Ecosystems. Earth’sFuture, 9, e2021EF00212113. https://doi.org/10.1029/2021ef002123
[61]
Pregitzer, C.C., Ashton, M.S., Charlop-Powers, S., D’Amato, A.W., Frey, B.R., Gunther, B., etal. (2019) Defining and Assessing Urban Forests to Inform Management and Policy. EnvironmentalResearchLetters, 14, Article ID: 085002. https://doi.org/10.1088/1748-9326/ab2552
[62]
Pulighe, G., Fava, F. and Lupia, F. (2016) Insights and Opportunities from Mapping Ecosystem Services of Urban Green Spaces and Potentials in Planning. EcosystemServices, 22, 1-10. https://doi.org/10.1016/j.ecoser.2016.09.004
[63]
Romzaykina, O.N., Vasenev, V.I., Paltseva, A., Kuzyakov, Y.V., Neaman, A. and Dovletyarova, E.A. (2020) Assessing and Mapping Urban Soils as Geochemical Barriers for Contamination by Heavy Metal(loid)s in Moscow Megapolis. JournalofEnvironmentalQuality, 50, 22-37. https://doi.org/10.1002/jeq2.20142
[64]
Seiferling, I., Naik, N., Ratti, C. and Proulx, R. (2017) Green Streets—Quantifying and Mapping Urban Trees with Street-Level Imagery and Computer Vision. LandscapeandUrbanPlanning, 165, 93-101. https://doi.org/10.1016/j.landurbplan.2017.05.010
Stefanidis, S., Alexandridis, V. and Mallinis, G. (2022) A Cloud-Based Mapping Approach for Assessing Spatiotemporal Changes in Erosion Dynamics Due to Biotic and Abiotic Disturbances in a Mediterranean Peri-Urban Forest. Catena, 218, Article ID: 106564. https://doi.org/10.1016/j.catena.2022.106564
[67]
Tanhuanpää, T., Vastaranta, M., Kankare, V., Holopainen, M., Hyyppä, J., Hyyppä, H., et al. (2014) Mapping of Urban Roadside Trees—A Case Study in the Tree Register Update Process in Helsinki City. UrbanForestry&UrbanGreening, 13, 562-570. https://doi.org/10.1016/j.ufug.2014.03.005
[68]
Thapa, R.B. and Murayama, Y. (2009) Urban Mapping, Accuracy, & Image Classification: A Comparison of Multiple Approaches in Tsukuba City, Japan. AppliedGeography, 29, 135-144. https://doi.org/10.1016/j.apgeog.2008.08.001
[69]
Walton, J.T. (2008) Difficulties with Estimating City-Wide Urban Forest Cover Change from National, Remotely-Sensed Tree Canopy Maps. UrbanEcosystems, 11, 81-90. https://doi.org/10.1007/s11252-007-0040-9
[70]
Cao, Y., Li, Y., Shen, S., Wang, W., Peng, X., Chen, J., etal. (2024) Mapping Urban Green Equity and Analysing Its Impacted Mechanisms: A Novel Approach. SustainableCitiesandSociety, 101, Article ID: 105071. https://doi.org/10.1016/j.scs.2023.105071
[71]
Endreny, T., Santagata, R., Perna, A., Stefano, C.D., Rallo, R.F. and Ulgiati, S. (2017) Implementing and Managing Urban Forests: A Much Needed Conservation Strategy to Increase Ecosystem Services and Urban Wellbeing. EcologicalModelling, 360, 328-335. https://doi.org/10.1016/j.ecolmodel.2017.07.016
[72]
Gerrish, E. and Watkins, S.L. (2018) The Relationship between Urban Forests and Income: A Meta-analysis. LandscapeandUrbanPlanning, 170, 293-308. https://doi.org/10.1016/j.landurbplan.2017.09.005
[73]
Johnson, M., Campbell, L., Svendsen, E. and McMillen, H. (2019) Mapping Urban Park Cultural Ecosystem Services: A Comparison of Twitter and Semi-Structured Interview Methods. Sustainability, 11, Article 6137. https://doi.org/10.3390/su11216137
[74]
Kim, J. and Son, Y. (2021) Assessing and Mapping Cultural Ecosystem Services of an Urban Forest Based on Narratives from Blog Posts. EcologicalIndicators, 129, Article ID: 107983. https://doi.org/10.1016/j.ecolind.2021.107983
[75]
Mansfield, C., Pattanayak, S.K., McDow, W., McDonald, R. and Halpin, P. (2005) Shades of Green: Measuring the Value of Urban Forests in the Housing Market. JournalofForestEconomics, 11, 177-199. https://doi.org/10.1016/j.jfe.2005.08.002
[76]
Roman, L.A., Pearsall, H., Eisenman, T.S., Conway, T.M., Fahey, R.T., Landry, S., etal. (2018) Human and Biophysical Legacies Shape Contemporary Urban Forests: A Literature Synthesis. UrbanForestry&UrbanGreening, 31, 157-168. https://doi.org/10.1016/j.ufug.2018.03.004
[77]
Singh, K.K. and Gray, J. (2020) Mapping Understory Invasive Plants in Urban Forests with Spectral and Temporal Unmixing of Landsat Imagery. PhotogrammetricEngineering&RemoteSensing, 86, 509-518. https://doi.org/10.14358/pers.86.8.509
[78]
Torbick, N. and Corbiere, M. (2015) Mapping Urban Sprawl and Impervious Surfaces in the Northeast United States for the Past Four Decades. GIScience&RemoteSensing, 52, 746-764. https://doi.org/10.1080/15481603.2015.1076561
[79]
Tyrväinen, L., Mäkinen, K. and Schipperijn, J. (2007) Tools for Mapping Social Values of Urban Woodlands and Other Green Areas. LandscapeandUrbanPlanning, 79, 5-19. https://doi.org/10.1016/j.landurbplan.2006.03.003
[80]
Wade, T.G., Wickham, J.D., Zacarelli, N. and Riitters, K.H. (2009) A Multi-Scale Method of Mapping Urban Influence. EnvironmentalModelling&Software, 24, 1252-1256. https://doi.org/10.1016/j.envsoft.2009.03.006
[81]
Ritchie, H., Sambroska, V. and Roser, M. (2024) Our World in Data. https://ourworldindata.org/urbanization
[82]
Wikipedia (2024) List of National Capitals by Population. https://en.wikipedia.org/wiki/List_of_national_capitals_by_population
[83]
Barona, C.O., Devisscher, T., Dobbs, C., Aguilar, L.O., Baptista, M.D., Navarro, N.M., etal. (2020) Trends in Urban Forestry Research in Latin America & the Caribbean: A Systematic Literature Review and Synthesis. Urban Forestry & Urban Greening, 47, Article ID: 126544. https://doi.org/10.1016/j.ufug.2019.126544
[84]
Kendal, D., Egerer, M., Byrne, J.A., Jones, P.J., Marsh, P., Threlfall, C.G., etal. (2020) City-Size Bias in Knowledge on the Effects of Urban Nature on People and Biodiversity. EnvironmentalResearchLetters, 15, Article ID: 124035. https://doi.org/10.1088/1748-9326/abc5e4
[85]
Johnston, M. (1996) A Brief History of Urban Forestry in the United States. ArboriculturalJournal, 20, 257-278. https://doi.org/10.1080/03071375.1996.9747122
[86]
Konijnendijk, C.C. (2003) A Decade of Urban Forestry in Europe. ForestPolicyandEconomics, 5, 173-186. https://doi.org/10.1016/s1389-9341(03)00023-6
