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Data Details

Regional Characterization Factor Dataset for Biodiversity Impacts of Future Urban Expansion in China


LI Guo1LIU Xiaoyan1ZHAO Caiyun1XU Jing1XIAO Nengwen1
1 Institute of Ecology，Chinese Research Academy of Environmental Sciences，Beijing 100012，China

DOI:10.3974/geodb.2025.07.04.V1

Published:July 2025

Visitors：197       Data Files Downloaded：1      
Data Downloaded：0.14 MB      Citations：

Key Words：

urbanization,land occupation,terrestrial biodiversity,regional characterization factors,life cycle impact assessment

Abstract：

Using the countryside species-area relationship model, we estimated regional species loss for plants, mammals, birds, reptiles and amphibians as a consequence of land occupation from 2020 to 2100 under three SSP scenarios: the sustainable pathway (SSP1), the middle pathway (SSP2), and the fossil-fuelled development pathway (SSP5). We further developed new regional characterization factors (CFs) for 31 provincial-level regions in China and six land cover types. To address parameter uncertainties, we implemented Monte Carlo simulations and conducted sensitivity analysis using Borgonovo's method. Combined with the Life Cycle Impact Assessment (LCIA) approach, our regional characteristic factors can be used to quantify terrestrial biodiversity impacts due to urban construction land occupation. The resulting dataset includes: (1) projected species loss due to construction land expansion at provincial level (2020-2100); (2) province- and land-cover-specific CFs for assessing biodiversity impacts of future construction land expansion in China; (3) the value ranges of input parameters; (4) parameter importance (Borgonovo’s index) for species loss estimation; (5) parameter importance (Borgonovo’s index) for CF derivation; and (6) application case study: evaluating the terrestrial biodiversity impacts of newly added construction land. The dataset is archived in .xlsx format, and consists of one single file with data size of 146 KB. The research findings based on the dataset was published in Acta Geographica Sinica, Vol. 80, No. 7, 2025.

Foundation Item：

Data Citation：

LI Guo, LIU Xiaoyan, ZHAO Caiyun, XU Jing, XIAO Nengwen. Regional Characterization Factor Dataset for Biodiversity Impacts of Future Urban Expansion in China[J/DB/OL]. Digital Journal of Global Change Data Repository, 2025. https://doi.org/10.3974/geodb.2025.07.04.V1.

References：


     [1] Martins, I. S., Pereira, H. M. Improving extinction projections across scales and habitats using the countryside species-area relationship [J]. Scientific Reports, 2017, 7(1): 12899.
     [2] Chaudhary, A., Verones, F., de Baan, L., et al. Quantifying land use impacts on biodiversity: combining species–area models and vulnerability indicators [J]. Environmental Science & Technology, 2015, 49(16): 9987-9995.
     [3] Jolliet, O., Antón, A., Boulay, A., et al. Global guidance on environmental life cycle impact assessment indicators: impacts of climate change, fine particulate matter formation, water consumption and land use [J]. The International Journal of Life Cycle Assessment, 2018, 23(11): 2189-2207.
     [4] Dorber, M., Kuipers, K., Verones, F. Global characterization factors for terrestrial biodiversity impacts of future land inundation in Life Cycle Assessment [J]. Science of The Total Environment, 2020, 712: 134582.
     [5] Chen, G., Li, X., Liu, X., et al. Global projections of future urban land expansion under shared socioeconomic pathways [J]. Nature Communications, 2020, 11(1): 537.
     [6] de Souza, D. M., Flynn, D. F. B., DeClerck, F., et al. Land use impacts on biodiversity in LCA: proposal of characterization factors based on functional diversity [J]. The International Journal of Life Cycle Assessment, 2013, 18(6): 1231-1242.
     [7] Rodríguez, P., Arita, H. T. Beta diversity and latitude in North American mammals: testing the hypothesis of covariation [J]. Ecography, 2004, 27(5): 547-556.
     [8] Drakare, S., Lennon, J. J., Hillebrand, H. The imprint of the geographical, evolutionary and ecological context on species–area relationships [J]. Ecology Letters, 2006, 9(2): 215-227.
     [9] Qiao, X., Tang, Z., Shen, Z., et al. What causes geographical variation in the species–area relationships? a test from forests in China [J]. Ecography, 2012, 35(12): 1110-1116.
     [10] Tu, F. Y., Han, W. J., Sun, Z. Y., et al. Relationships between terrestrial mammal species and area in China [J]. Chinese Journal of Wildlife, 2017, 38(1): 129-132.
     [11] Kuipers, K. J. J., May, R., Verones, F. Considering habitat conversion and fragmentation in characterisation factors for land-use impacts on vertebrate species richness [J]. Science of The Total Environment, 2021, 801: 149737.
     [12] Borgonovo, E. A new uncertainty importance measure [J]. Reliability Engineering & System Safety, 2007, 92(6): 771-784.

Data Product:

ID Data Name Data Size Operation
1 FactorBiodiversityUrbanChina.xlsx 146.81KB
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