Biodiversity modeling to manage urban ecosystems for people and nature


  • Elmqvist, T. et al. Sustainability and resilience for transformation in the urban century. Nat. Sustain. 2, 267–273 (2019).

    Article 

    Google Scholar
     

  • Simkin, R. D., Seto, K. C., McDonald, R. I. & Jetz, W. Biodiversity impacts and conservation implications of urban land expansion projected to 2050. Proc. Natl Acad. Sci. USA 119, e2117297119 (2022).

    Article 

    Google Scholar
     

  • Rey, P.-L., Vittoz, P., Petitpierre, B., Adde, A. & Guisan, A. Linking plant and vertebrate species to nature’s contributions to people in the Swiss Alps. Sci. Rep. 13, 7312 (2023).

    Article 

    Google Scholar
     

  • Rocha, A. D. et al. Unprivileged groups are less served by green cooling services in major European urban areas. Nat. Cities 1, 424–435 (2024).

    Article 

    Google Scholar
     

  • Shackleton, C. M. & Gwedla, N. The legacy effects of colonial and apartheid imprints on urban greening in South Africa: spaces, species, and suitability. Front. Ecol. Evol. 8, 579813 (2021).

    Article 

    Google Scholar
     

  • Estien, C. O., Fidino, M., Wilkinson, C. E., Morello-Frosch, R. & Schell, C. J. Historical redlining is associated with disparities in wildlife biodiversity in four California cities. Proc. Natl Acad. Sci. USA 121, e2321441121 (2024).

    Article 

    Google Scholar
     

  • Lepczyk, C. A., Aronson, M. F. & La Sorte, F. A. Cities as sanctuaries. Front. Ecol. Environ. 21, 251–259 (2023).

    Article 

    Google Scholar
     

  • Uchida, K. et al. Urban biodiversity and the importance of scale. Trends Ecol. Evol. 36, 123–131 (2021).

    Article 

    Google Scholar
     

  • Wintle, B. A. et al. Global synthesis of conservation studies reveals the importance of small habitat patches for biodiversity. Proc. Natl Acad. Sci. USA 116, 909–914 (2019).

    Article 

    Google Scholar
     

  • Dunn, R. R., Gavin, M. C., Sanchez, M. C. & Solomon, J. N. The pigeon paradox: dependence of global conservation on urban nature. Conserv. Biol. 20, 1814–1816 (2006).

    Article 

    Google Scholar
     

  • Oke, C. et al. Cities should respond to the biodiversity extinction crisis. npj Urban Sustain. 1, 11 (2021).

    Article 

    Google Scholar
     

  • Acuto, M., Parnell, S. & Seto, K. C. Building a global urban science. Nat. Sustain. 1, 2–4 (2018).

    Article 

    Google Scholar
     

  • Nilon, C. H. et al. Planning for the future of urban biodiversity: a global review of city-scale initiatives. Bioscience 67, 332–342 (2017).

    Article 

    Google Scholar
     

  • Perrelet, K., Moretti, M., Dietzel, A., Altermatt, F. & Cook, L. M. Engineering blue–green infrastructure for and with biodiversity in cities. npj Urban Sustain. 4, 27 (2024).

    Article 

    Google Scholar
     

  • Cook, L. M. et al. Towards the intentional multifunctionality of urban green infrastructure: a paradox of choice? npj Urban Sustain. 4, 12 (2024).

    Article 

    Google Scholar
     

  • Parris, K. M. et al. The seven lamps of planning for biodiversity in the city. Cities 83, 44–53 (2018).

    Article 

    Google Scholar
     

  • Guisan, A. et al. Predicting species distributions for conservation decisions. Ecol. Lett. 16, 1424–1435 (2013).

    Article 

    Google Scholar
     

  • Andersson, E. K., Lyngstad, T. H. & Sleutjes, B. Comparing patterns of segregation in north-western Europe: a multiscalar approach. Eur. J. Popul. 34, 151–168 (2018).

    Article 

    Google Scholar
     

  • Andersson, E. K. et al. A comparative study of segregation patterns in Belgium, Denmark, the Netherlands and Sweden: neighbourhood concentration and representation of non-European migrants. Eur. J. Popul. 34, 251–275 (2018).

    Article 

    Google Scholar
     

  • Zumwald, M., Knüsel, B., Bresch, D. N. & Knutti, R. Mapping urban temperature using crowd-sensing data and machine learning. Urban Clim. 35, 100739 (2021).

    Article 

    Google Scholar
     

  • Casanelles-Abella, J. et al. Applying predictive models to study the ecological properties of urban ecosystems: a case study in Zürich, Switzerland. Landsc. Urban Plan. 214, 104137 (2021).

    Article 

    Google Scholar
     

  • Planillo, A. et al. Arthropod abundance modulates bird community responses to urbanization. Divers. Distrib. 27, 34–49 (2021).

    Article 

    Google Scholar
     

  • Schell, C. J. et al. The ecological and evolutionary consequences of systemic racism in urban environments. Science 369, eaay4497 (2020).

    Article 

    Google Scholar
     

  • EU Biodiversity Strategy for 2030: Bringing Nature Back into Our Lives (EC, 2020).

  • Sofaer, H. R. et al. Development and delivery of species distribution models to inform decision-making. Bioscience 69, 544–557 (2019).

    Article 

    Google Scholar
     

  • Knapp, S. et al. A research agenda for urban biodiversity in the global extinction crisis. Bioscience 71, 268–279 (2021).

    Article 

    Google Scholar
     

  • Ellis-Soto, D., Chapman, M. & Locke, D. H. Historical redlining is associated with increasing geographical disparities in bird biodiversity sampling in the United States. Nat. Hum. Behav. 7, 1869–1877 (2023).

    Article 

    Google Scholar
     

  • Hortal, J. et al. Historical bias in biodiversity inventories affects the observed environmental niche of the species. Oikos 117, 847–856 (2008).

    Article 

    Google Scholar
     

  • Dickinson, J. L., Zuckerberg, B. & Bonter, D. N. Citizen science as an ecological research tool: challenges and benefits. Annu. Rev. Ecol. Evol. Syst. 41, 149–172 (2010).

    Article 

    Google Scholar
     

  • Guisan, A., Thuiller, W. & Zimmermann, N. E. Habitat Suitability and Distribution Models (Cambridge Univ. Press, 2017).

  • Chauvier, Y. et al. Novel methods to correct for observer and sampling bias in presence‐only species distribution models. Glob. Ecol. Biogeogr. 30, 2312–2325 (2021).

    Article 

    Google Scholar
     

  • Sandel, B., Merow, C., Serra‐Diaz, J. M. & Svenning, J. Disequilibrium in plant distributions: challenges and approaches for species distribution models. J. Ecol. https://doi.org/10.1111/1365-2745.70009 (2025).

  • Pollock, L. J. et al. Protecting biodiversity (in all its complexity): new models and methods. Trends Ecol. Evol. 35, 1119–1128 (2020).

    Article 

    Google Scholar
     

  • Guisan, A. & Thuiller, W. Predicting species distribution: offering more than simple habitat models. Ecol Lett 8, 993–1009 (2005).

    Article 

    Google Scholar
     

  • Francis, A. P. & Currie, D. J. A globally consistent richness-climate relationship for angiosperms. Am. Nat. 161, 523–536 (2003).

    Article 

    Google Scholar
     

  • Hahs, A. K. et al. Urbanisation generates multiple trait syndromes for terrestrial animal taxa worldwide. Nat. Commun. 14, 4751 (2023).

    Article 

    Google Scholar
     

  • Kass, J. M., Fukaya, K., Thuiller, W. & Mori, A. S. Biodiversity modeling advances will improve predictions of nature’s contributions to people. Trends Ecol. Evol. https://doi.org/10.1016/j.tree.2023.10.011 (2023).

  • Paquette, A. et al. Praise for diversity: a functional approach to reduce risks in urban forests. Urban For. Urban Green. 62, 127157 (2021).

    Article 

    Google Scholar
     

  • Burton, V. J. & Cameron, E. K. Learning more about earthworms with citizen science. Front. Young Minds 8, 548525 (2021).

    Article 

    Google Scholar
     

  • Delisle, Z. J., Flaherty, E. A., Nobbe, M. R., Wzientek, C. M. & Swihart, R. K. Next-generation camera trapping: systematic review of historic trends suggests keys to expanded research applications in ecology and conservation. Front. Ecol. Evol. 9, 617996 (2021).

    Article 

    Google Scholar
     

  • Fairbrass, A. J. et al. CityNet—deep learning tools for urban ecoacoustic assessment. Methods Ecol. Evol. 10, 186–197 (2019).

    Article 

    Google Scholar
     

  • Deiner, K., Yamanaka, H. & Bernatchez, L. The future of biodiversity monitoring and conservation utilizing environmental DNA. Environ. DNA 3, 3–7 (2021).

    Article 

    Google Scholar
     

  • Casanelles-Abella, J., Fontana, S., Meier, E. S., Moretti, M. & Fournier, B. Spatial mismatch between wild bee diversity hotspots and protected areas. Conserv. Biol. 37, e14082 (2023).

    Article 

    Google Scholar
     

  • Chauvier, Y. et al. Resolution in species distribution models shapes spatial patterns of plant multifaceted diversity. Ecography 2022, e05973 (2022).

    Article 

    Google Scholar
     

  • Faith, D. P. Conservation evaluation and phylogenetic diversity. Biol. Conserv. 61, 1–10 (1992).

    Article 

    Google Scholar
     

  • Petchey, O. & Gaston, K. J. Functional diversity (FD), species richness and community composition. Ecol. Lett. 5, 402–411 (2002).

    Article 

    Google Scholar
     

  • Violle, C. et al. Functional rarity: the ecology of outliers. Trends Ecol. Evol. 32, 356–367 (2017).

    Article 

    Google Scholar
     

  • Hamel, P. et al. Mapping the benefits of nature in cities with the InVEST software. npj Urban Sustain. 1, 25 (2021).

    Article 

    Google Scholar
     

  • Stange, E. E., Zulian, G., Rusch, G. M., Barton, D. N. & Nowell, M. Ecosystem services mapping for municipal policy: ESTIMAP and zoning for urban beekeeping. One Ecosyst. 2, e14014 (2017).

    Article 

    Google Scholar
     

  • Faith, D. P. in Phylogenetic Diversity Vol. 1 (eds Scherson, R. & Faith, D. P.) 1–26 (Springer, 2018).

  • Bratman, G. N. et al. Nature and mental health: an ecosystem service perspective. Sci. Adv. 5, eaax0903 (2019).

    Article 

    Google Scholar
     

  • Leong, M., Dunn, R. R. & Trautwein, M. D. Biodiversity and socioeconomics in the city: a review of the luxury effect. Biol. Lett. 14, 20180082 (2018).

    Article 

    Google Scholar
     

  • Watkins, S. L. & Gerrish, E. The relationship between urban forests and race: a meta-analysis. J. Environ. Manag. 209, 152–168 (2018).

    Article 

    Google Scholar
     

  • Burghardt, K. T. et al. Current street tree communities reflect race‐based housing policy and modern attempts to remedy environmental injustice. Ecology 104, e3881 (2023).

    Article 

    Google Scholar
     

  • Lang, N., Jetz, W., Schindler, K. & Wegner, J. D. A high-resolution canopy height model of the Earth. Nat. Ecol. Evol. https://doi.org/10.1038/s41559-023-02206-6 (2023).

  • Erlwein, S., Meister, J., Wamsler, C. & Pauleit, S. Governance of densification and climate change adaptation: how can conflicting demands for housing and greening in cities be reconciled? Land Use Policy 128, 106593 (2023).

    Article 

    Google Scholar
     

  • Li, Y. et al. Green spaces provide substantial but unequal urban cooling globally. Nat. Commun. 15, 7108 (2024).

    Article 

    Google Scholar
     

  • Hansen, R., Mattes, A., Meier, M. & Kurths, A. Reorienting urban green infrastructure planning towards biodiversity—perspectives and ongoing debates from Germany. Urban For. Urban Green 90, 128155 (2023).

    Article 

    Google Scholar
     

  • Diezmartínez, C. V. & Short Gianotti, A. G. US cities increasingly integrate justice into climate planning and create policy tools for climate justice. Nat. Commun. 13, 5763 (2022).

    Article 

    Google Scholar
     

  • Brelsford, C., Lobo, J., Hand, J. & Bettencourt, L. M. A. Heterogeneity and scale of sustainable development in cities. Proc. Natl Acad. Sci. USA 114, 8963–8968 (2017).

    Article 

    Google Scholar
     

  • Egerer, M., Fouch, N., Anderson, E. C. & Clarke, M. Socio-ecological connectivity differs in magnitude and direction across urban landscapes. Sci. Rep. 10, 4252 (2020).

    Article 

    Google Scholar
     

  • Escobedo, F. J., Kroeger, T. & Wagner, J. E. Urban forests and pollution mitigation: analyzing ecosystem services and disservices. Environ. Pollut. 159, 2078–2087 (2011).

    Article 

    Google Scholar
     

  • Pereira, P. & Baró, F. Greening the city: thriving for biodiversity and sustainability. Sci. Total Environ. 817, 153032 (2022).

    Article 

    Google Scholar
     

  • Kendal, D. et al. A global comparison of the climatic niches of urban and native tree populations. Glob. Ecol. Biogeogr. 27, 629–637 (2018).

    Article 

    Google Scholar
     

  • Grünig, M., Mazzi, D., Calanca, P., Karger, D. N. & Pellissier, L. Crop and forest pest metawebs shift towards increased linkage and suitability overlap under climate change. Commun. Biol. 3, 233 (2020).

    Article 

    Google Scholar
     

  • Hirzel, A. & Guisan, A. Which is the optimal sampling strategy for habitat suitability modelling. Ecol. Modell. 157, 331–341 (2002).

    Article 

    Google Scholar
     

  • Gavish, Y. et al. Accounting for biotic interactions through alpha‐diversity constraints in stacked species distribution models. Methods Ecol. Evol. 8, 1092–1102 (2017).

    Article 

    Google Scholar
     

  • Poggiato, G. et al. On the Interpretations of joint modeling in community ecology. Trends Ecol. Evol. 36, 391–401 (2021).

    Article 

    Google Scholar
     

  • Brun, P. et al. Multispecies deep learning using citizen science data produces more informative plant community models. Nat. Commun. 15, 4421 (2024).

    Article 

    Google Scholar
     

  • Allen, M. A., Roberts, D. A. & McFadden, J. P. Reduced urban green cover and daytime cooling capacity during the 2012–2016 California drought. Urban Clim. 36, 100768 (2021).

    Article 

    Google Scholar
     

  • Soanes, K. & Lentini, P. E. When cities are the last chance for saving species. Front. Ecol. Environ. 17, 225–231 (2019).

    Article 

    Google Scholar
     

  • Chase, J. M., Jeliazkov, A., Ladouceur, E. & Viana, D. S. Biodiversity conservation through the lens of metacommunity ecology. Ann. N. Y. Acad. Sci. 1469, 86–104 (2020).

    Article 

    Google Scholar
     

  • Simons, A. L. et al. Correction to: Constructing ecological indices for urban environments using species distribution models. Urban Ecosyst. https://doi.org/10.1007/s11252-022-01275-y (2022).

  • Geppert, C. et al. Temperature and not landscape composition shapes wild bee communities in an urban environment. Insect Conserv. Divers. https://doi.org/10.1111/icad.12602 (2022).

  • McDonald, J. L. & Skillings, E. Human influences shape the first spatially explicit national estimate of urban unowned cat abundance. Sci. Rep. 11, 20216 (2021).

    Article 

    Google Scholar
     

  • Baldock, K. C. R. et al. A systems approach reveals urban pollinator hotspots and conservation opportunities. Nat. Ecol. Evol. 3, 363–373 (2019).

    Article 

    Google Scholar
     

  • Egerer, M. & Anderson, E. Social-ecological connectivity to understand ecosystem service provision across networks in urban landscapes. Land 9, 530 (2020).

    Article 

    Google Scholar
     

  • Boeing, G. et al. Using open data and open-source software to develop spatial indicators of urban design and transport features for achieving healthy and sustainable cities. Lancet Glob. Health 10, e907–e918 (2022).

    Article 

    Google Scholar
     

  • Hu, L. et al. Monitoring housing rental prices based on social media: an integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies. Land Use Policy 82, 657–673 (2019).

    Article 

    Google Scholar
     

  • Mapping inequality. ESRI https://www.arcgis.com/home/item.html?id=e669e5298ba146cc8369f9cbde6eead4 (2024).

  • Haandrikman, K., Costa, R., Malmberg, B., Rogne, A. F. & Sleutjes, B. Socio-economic segregation in European cities. A comparative study of Brussels, Copenhagen, Amsterdam, Oslo and Stockholm. Urban Geogr. 44, 1–36 (2021).

    Article 

    Google Scholar
     

  • Dmowska, A. & Stepinski, T. F. High resolution dasymetric model of U.S demographics with application to spatial distribution of racial diversity. Appl. Geogr. 53, 417–426 (2014).

    Article 

    Google Scholar
     

  • Chauvier, Y. et al. Influence of climate, soil, and land cover on plant species distribution in the European Alps. Ecol. Monogr. 91, 1–14 (2021).

    Article 

    Google Scholar
     

  • Mijling, B. High-resolution mapping of urban air quality with heterogeneous observations: a new methodology and its application to Amsterdam. Atmos. Meas. Tech. 13, 4601–4617 (2020).

    Article 

    Google Scholar
     

  • Buchhorn, M. et al. Copernicus Global Land Service: land cover 100m: collection 3: epoch 2015: globe. Zenodo https://doi.org/10.5281/zenodo.3939038 (2020).

  • Dmowska, A., Stepinski, T. F. & Nowosad, J. Racial landscapes—a pattern-based, zoneless method for analysis and visualization of racial topography. Appl. Geogr. 122, 102239 (2020).

    Article 

    Google Scholar
     

  • Aiello, L. M., Schifanella, R., Quercia, D. & Aletta, F. Chatty maps: constructing sound maps of urban areas from social media data. R. Soc. Open Sci. 3, 150690 (2016).

    Article 

    Google Scholar
     

  • Loss, S. R., Will, T. & Marra, P. P. The impact of free-ranging domestic cats on wildlife of the United States. Nat. Commun. 4, 1396 (2013).

    Article 

    Google Scholar
     



  • Source link

    More From Forest Beat

    Biodiversity and human well-being trade-offs and synergies in villages

    Hanspach, J., Loos, J., Dorresteijn, I., Abson, D. J. & Fischer, J. Characterizing social–ecological units to inform biodiversity conservation in cultural landscapes. Divers....
    Biodiversity
    9
    minutes

    Multiple floods interactions shape riparian plant communities and diversity

    Study areaThe survey was conducted in the riparian area of the Akigawa River (Fig. 4), covering a regulated section spanning 33.57 km with a...
    Biodiversity
    7
    minutes

    First detection and entomological characterisation of invasive malaria vector Anopheles stephensi...

    Study site and samplingOur team from the Ecology, Health, and Environment (ECOSEN) group, Université André Salifou, Zinder, embarked on a study of biodiversity...
    Biodiversity
    4
    minutes

    Morphological and molecular assessment of muscle metacercariae infecting tench Tinca tinca...

    Waikagul, J. & Thaenkham, U. Approaches To Research on the Systematics of Fish Borne Trematodes1–16 (Academic, 2014).Chai, J. & Jung, B. Epidemiology of...
    Biodiversity
    11
    minutes
    spot_imgspot_img