Spatial heterogeneity of extinction risk for flowering plants in China.
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
28 Jul 2024
28 Jul 2024
Historique:
received:
18
08
2023
accepted:
18
07
2024
medline:
29
7
2024
pubmed:
29
7
2024
entrez:
28
7
2024
Statut:
epublish
Résumé
Understanding the variability of extinction risk and its potential drivers across different spatial extents is crucial to revealing the underlying processes of biodiversity loss and sustainability. However, in countries with high climatic and topographic heterogeneity, studies on extinction risk are often challenged by complexities associated with extent effects. Here, using 2.02 million fine-grained distribution records and a phylogeny including 27,185 species, we find that the extinction risk of flowering plants in China is spatially concentrated in southwestern China. Our analyses suggest that spatial extinction risks of flowering plants in China may be caused by multiple drivers and are extent dependent. Vegetation structure based on proportion of growth forms is likely the dominant extinction driver at the national extent, followed by climatic and evolutionary drivers. Finer extent analyses indicate that the potential dominant extinction drivers vary across zones and vegetation regions. Despite regional heterogeneity, we detect a geographical continuity potential in extinction drivers, with variation in West China dominated by vegetation structure, South China by climate, and North China by evolution. Our findings highlight that identification of potential extent-dependent drivers of extinction risk is crucial for targeted conservation practice in countries like China.
Identifiants
pubmed: 39069525
doi: 10.1038/s41467-024-50704-3
pii: 10.1038/s41467-024-50704-3
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
6352Informations de copyright
© 2024. The Author(s).
Références
Mace, G. M. et al. Aiming higher to bend the curve of biodiversity loss. Nat. Sustain. 1, 448–451 (2018).
doi: 10.1038/s41893-018-0130-0
Hull, P. M., Darroch, S. A. & Erwin, D. H. Rarity in mass extinctions and the future of ecosystems. Nature 528, 345–551 (2015).
pubmed: 26672552
doi: 10.1038/nature16160
Humphreys, A. M., Govaerts, R., Ficinski, S. Z., Nic Lughadha, E. & Vorontsova, M. S. Global dataset shows geography and life form predict modern plant extinction and rediscovery. Nat. Ecol. Evol. 3, 1043–1047 (2019).
pubmed: 31182811
doi: 10.1038/s41559-019-0906-2
Vamosi, J. C. & Wilson, J. R. U. Nonrandom extinction leads to elevated loss of angiosperm evolutionary history. Ecol. Lett. 11, 1047–1053 (2008).
pubmed: 18616544
doi: 10.1111/j.1461-0248.2008.01215.x
Li, J. et al. Taxonomic and geographic selectivity of spermatophytes’ extinction risk in China. Biodivers. Conserv. 273, 109669 (2022).
Roy, B. K., Hunt, G. & Jablonski, D. Phylogenetic conservatism of extinctions in marine bivalves. Science 325, 731–737 (2009).
doi: 10.1126/science.1173073
Verde Arregoitia, L. D., Blomberg, S. P. & Fisher, D. O. Phylogenetic correlates of extinction risk in mammals: species in older lineages are not at greater risk. Proc. R. Soc. B 280, 1–7 (2013).
doi: 10.1098/rspb.2013.1092
Harfoot, M. B. J. et al. Using the IUCN Red List to map threats to terrestrial vertebrates at global scale. Nat. Ecol. Evol. 5, 1510–1519 (2021).
Jensen, D. A., Ma, K. & Svenning, J. C. Steep topography buffers threatened gymnosperm species against anthropogenic pressures in China. Ecol. Evol. 10, 1838–1855 (2020).
pubmed: 32128120
pmcid: 7042744
doi: 10.1002/ece3.5983
Shrestha, N., Xu, X., Meng, J. & Wang, Z. Vulnerabilities of protected lands in the face of climate and human footprint changes. Nat. Commun. 12, 1632 (2021).
pubmed: 33712613
pmcid: 7955075
doi: 10.1038/s41467-021-21914-w
Kubota, Y., Kusumoto, B., Shiono, T., Ulrich, W. & Duarte, L. Environmental filters shaping angiosperm tree assembly along climatic and geographic gradients. J. Veg. Sci. 29, 607–618 (2018).
doi: 10.1111/jvs.12648
Dinnage, R., Skeels, A. & Cardillo, M. Spatiophylogenetic modelling of extinction risk reveals evolutionary distinctiveness and brief flowering period as threats in a hotspot plant genus. Proc. R. Soc. B 287, 20192817 (2020).
pubmed: 32370670
pmcid: 7282897
doi: 10.1098/rspb.2019.2817
Greenberg, D. A. et al. Evolutionary legacies in contemporary tetrapod imperilment. Ecol. Lett. 24, 2464–2476 (2021).
pubmed: 34510687
pmcid: 9048422
doi: 10.1111/ele.13868
Molina-Venegas, R., Ramos-Gutiérrez, I. & Moreno-Saiz, J. C. Phylogenetic patterns of extinction risk in the endemic flora of a mediterranean hotspot as a guiding tool for preemptive conservation actions. Front. Ecol. Evol. 8, 571587 (2020).
doi: 10.3389/fevo.2020.571587
Yessoufou, K., Daru, B. H. & Davies, T. J. Phylogenetic patterns of extinction risk in the eastern arc ecosystems, an African biodiversity hotspot. PLoS ONE 7, e47082 (2012).
pubmed: 23056587
pmcid: 3466253
doi: 10.1371/journal.pone.0047082
Tye, M., Dahlgren, J. P., Øien, D.-I., Moen, A. & Sletvold, N. Demographic responses to climate variation depend on spatial - and life history -differentiation at multiple scales. Biodivers. Conserv. 228, 62–69 (2018).
Liang, M. et al. Consistent stabilizing effects of plant diversity across spatial scales and climatic gradients. Nat. Ecol. Evol. 6, 1669–1675 (2022).
pubmed: 36123533
doi: 10.1038/s41559-022-01868-y
Qin, H. & Zhao, L. Evaluating the threat status of higher plants in China. Biodivers. Sci. 25, 689–695 (2017).
doi: 10.17520/biods.2017146
Qin, H. et al. Threatened species list of China’s higher plants. Biodivers. Sci. 25, 696–744 (2017).
doi: 10.17520/biods.2017144
Li, L. et al. Red list assessments of Chinese higher plants. Int. J. Digit. Earth 16, 2762–2775 (2023).
doi: 10.1080/17538947.2023.2233497
Mi, X. et al. The global significance of biodiversity science in China: an overview. Natl. Sci. Rev. 8, nwab032 (2021).
pubmed: 34694304
pmcid: 8310773
doi: 10.1093/nsr/nwab032
Xia, C. et al. Developing long-term conservation priority planning for medicinal plants in China by combining conservation status with diversity hotspot analyses and climate change prediction. BMC Biol. 20, 89 (2022).
pubmed: 35449002
pmcid: 9027417
doi: 10.1186/s12915-022-01285-4
Xu, W. et al. Human activities have opposing effects on distributions of narrow-ranged and widespread plant species in China. Proc. Natl. Acad. Sci. USA 116, 26674–26681 (2019).
pubmed: 31843905
pmcid: 6936463
doi: 10.1073/pnas.1911851116
Lu, Y. et al. Spatial variation in biodiversity loss across China under multiple environmental stressors. Sci. Adv. 6, eabd0952 (2020).
pubmed: 33219032
pmcid: 7679164
doi: 10.1126/sciadv.abd0952
Yu, H., Sui, X., Sun, M., Yin, X. & Deane, D. C. Relative importance of ecological, evolutionary and anthropogenic pressures on extinction Risk in Chinese angiosperm genera. Front. Ecol. Evol. 10, 844509 (2022).
doi: 10.3389/fevo.2022.844509
Chen, Y. et al. Extinction risk of Chinese angiosperms varies between woody and herbaceous species. Divers. Distrib. 29, 232–243 (2022).
doi: 10.1111/ddi.13655
Li, H., Calder, C. A. & Cressie, N. Beyond Moran’s I: testing for spatial dependence based on the spatial autoregressive model. Geogr. Anal. 39, 357–375 (2007).
doi: 10.1111/j.1538-4632.2007.00708.x
Zhang, X. et al. Spatial phylogenetics of the Chinese angiosperm flora provides insights into endemism and conservation. J. Integr. Plant Biol. 64, 105–117 (2022).
pubmed: 34773376
doi: 10.1111/jipb.13189
Lu, L. et al. A comprehensive evaluation of flowering plant diversity and conservation priority for national park planning in China. Fundam. Res. 3, 939–950 (2023).
pubmed: 38933013
doi: 10.1016/j.fmre.2022.08.008
Zacaï, A. et al. Phylogenetic conservatism of species range size is the combined outcome of phylogeny and environmental stability. J. Biogeogr. 44, 2451–2462 (2017).
doi: 10.1111/jbi.13043
Yu, J. et al. Integrated phylogenomic analyses unveil reticulate evolution in Parthenocissus (Vitaceae), highlighting speciation dynamics in the Himalayan-Hengduan Mountains. New Phytol. 238, 888–903 (2023).
pubmed: 36305244
doi: 10.1111/nph.18580
Davies, T. J. et al. Extinction risk and diversification are linked in a plant biodiversity hotspot. PLoS Biol. 9, e1000620 (2011).
pubmed: 21629678
pmcid: 3101198
doi: 10.1371/journal.pbio.1000620
Tanentzap, A. J., Igea, J., Johnston, M. G. & Larcombe, M. J. Does evolutionary history correlate with contemporary extinction risk by influencing range size dynamics? Am. Nat. 195, 569–576 (2020).
pubmed: 32097046
doi: 10.1086/707207
Friedman, J. The evolution of annual and perennial plant life histories: ecological correlates and genetic mechanisms. Annu. Rev. Ecol. Evol. Syst. 51, 461–481 (2020).
doi: 10.1146/annurev-ecolsys-110218-024638
Zhang, X. et al. Macroevolutionary pattern of Saussurea (Asteraceae) provides insights into the drivers of radiating diversification. Proc. R. Soc. B 288, 20211575 (2021).
pubmed: 34727720
pmcid: 8564611
doi: 10.1098/rspb.2021.1575
Lan, G., Hu, Y., Cao, M. & Zhu, H. Topography related spatial distribution of dominant tree species in a tropical seasonal rain forest in China. For. Ecol. Manage. 262, 1507–1513 (2011).
doi: 10.1016/j.foreco.2011.06.052
Elsen, P. R., Monahan, W. B. & Merenlender, A. M. Topography and human pressure in mountain ranges alter expected species responses to climate change. Nat. Commun. 11, 1974 (2020).
pubmed: 32332913
pmcid: 7181879
doi: 10.1038/s41467-020-15881-x
Qin, H. et al. Evaluating the endangerment status of China’s angiosperms through the red list assessment. Biodivers. Sci. 25, 745–757 (2017).
doi: 10.17520/biods.2017156
Wei, F., Nie, Y., Miao, H., Lu, H. & Hu, Y. Advancements of the researches on biodiversity loss mechanisms. Chin. Sci. Bull. (Chin. Version) 59, 430 (2014).
doi: 10.1360/972013-557
Liu, T., Peng, R., Zhou, Y. & Cao, G. China’s changing population distribution and influencing factors: Insights from the 2020 census data. Acta Geogr. Sin. 77, 381–394 (2022).
Soto-Navarro, C. A. et al. Towards a multidimensional biodiversity index for national application. Nat. Sustain. 4, 933–942 (2021).
doi: 10.1038/s41893-021-00753-z
Hu, H. et al. An updated Chinese vascular plant tree of life: Phylogenetic diversity hotspots revisited. J. Syst. Evol. 58, 663–672 (2020).
doi: 10.1111/jse.12642
Smith, S. A. & O’Meara, B. C. treePL: divergence time estimation using penalized likelihood for large phylogenies. Bioinformatics 28, 2689–2690 (2012).
pubmed: 22908216
doi: 10.1093/bioinformatics/bts492
Jin, Y. & Qian, H. V.PhyloMaker: an R package that can generate very large phylogenies for vascular plants. Ecography 42, 1–7 (2019).
doi: 10.1111/ecog.04434
R Core Team. R: a language and environment for statistical computing. (R Foundation for Statistical Computing, 2021).
IUCN. IUCN Red list categories and criteria: version 3.1. (IUCN Species Survival Commission, Gland, 2001).
GBIF.org. (22 January 2021) GBIF occurrence Download https://doi.org/10.15468/dl.bu72c5 ) (2021).
Faith, D. P. Conservation evaluation and phylogenetic diversity. Biodivers. Conserv. 61, 1–10 (1992).
Kembel, S. W. et al. Picante: R tools for integrating phylogenies and ecology. Bioinformatics 26, 1463–1464 (2010).
pubmed: 20395285
doi: 10.1093/bioinformatics/btq166
Rosauer, D., Laffan, S. W., Crisp, M. D., Donnellan, S. C. & Cook, L. G. Phylogenetic endemism: a new approach for identifying geographical concentrations of evolutionary history. Mol. Ecol. 18, 4061–4072 (2009).
pubmed: 19754516
doi: 10.1111/j.1365-294X.2009.04311.x
Molina‐Venegas, R. & Lima, H. Should we be concerned about incomplete taxon sampling when assessing the evolutionary history of regional biotas? J. Biogeogr. 48, 2387–2390 (2021).
doi: 10.1111/jbi.14207
Shrestha, N. et al. Global patterns of Rhododendron diversity: The role of evolutionary time and diversification rates. Glob. Ecol. Biogeogr. 27, 913–924 (2018).
doi: 10.1111/geb.12750
Jetz, W., Thomas, G. H., Joy, J. B., Hartmann, K. & Mooers, A. O. The global diversity of birds in space and time. Nature 491, 444–448 (2012).
pubmed: 23123857
doi: 10.1038/nature11631
Jetz, W. et al. Global distribution and conservation of evolutionary distinctness in birds. Curr. Biol. 24, 919–930 (2014).
pubmed: 24726155
doi: 10.1016/j.cub.2014.03.011
Isaac, N. J., Turvey, S. T., Collen, B., Waterman, C. & Baillie, J. E. Mammals on the EDGE: conservation priorities based on threat and phylogeny. PLoS ONE 2, e296 (2007).
pubmed: 17375184
pmcid: 1808424
doi: 10.1371/journal.pone.0000296
Paradis, E. Analysis of phylogenetics and evolution with R. (Springer Science & Business Media, 2012).
Orme, D. The caper package: comparative analysis of phylogenetics and evolution in R. https://cran.r-project.org/web/packages/caper/vignettes/caper.pdf . (2013).
Taylor, A., Weigelt, P., Denelle, P., Cai, L. & Kreft, H. The contribution of plant life and growth forms to global gradients of vascular plant diversity. New Phytol. 240, 1548–1560 (2023).
pubmed: 37264995
doi: 10.1111/nph.19011
Qin, H. Seed plants of China: checklist, uses and conservation status. 4 Volumes (Hebei Science and Technology Publishing House, Shijiazhuang, 2020).
Chen, Y., Ma, X., Du, Y. & Feng, M. The Chinese aquatic plants. (Henan Science and Technology Press, Zhengzhou, 2012).
Editorial Committee of Chinese Vegetation Atlas Chinese Academy of Sciences. 1:1,000,000 Chinese Vegetation Atlas. (Geological Publishing House, Beijing, 2007).
Harris, I., Jones, P. D., Osborn, T. J. & Lister, D. H. Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset. Int. J. Climatol. 34, 623–642 (2014).
doi: 10.1002/joc.3711
Fick, S. E. & Hijmans, R. J. WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 37, 4302–4315 (2017).
doi: 10.1002/joc.5086
Venter, O. et al. Global terrestrial Human Footprint maps for 1993 and 2009. Sci. Data 3, 160067 (2016).
pubmed: 27552448
pmcid: 5127486
doi: 10.1038/sdata.2016.67
Fritz, S. A. & Purvis, A. Selectivity in mammalian extinction risk and threat types: a new measure of phylogenetic signal strength in binary traits. Conserv. Biol. 24, 1042–1051 (2010).
pubmed: 20184650
doi: 10.1111/j.1523-1739.2010.01455.x
Molina-Venegas, R. How to get the most out of phylogenetic imputation without abusing it. Methods Ecol. Evol. 15, 456–463 (2024).
doi: 10.1111/2041-210X.14198
Wang, J., Zhang, T. & Fu, B. A measure of spatial stratified heterogeneity. Ecol. Indic. 67, 250–256 (2016).
doi: 10.1016/j.ecolind.2016.02.052
Vallejos, R., Osorio, F. & Bevilacqua, M. in Spatial relationships between two georeferenced variables: with applications in R (Springer International Publishing, 2020).
Harris, G. & Pimm, S. L. Range size and extinction risk in forest birds. Conserv. Biol. 22, 163–171 (2008).
pubmed: 18254861
doi: 10.1111/j.1523-1739.2007.00798.x
Yang, H. et al. An integrated insight into the relationship between soil microbial community and tobacco bacterial wilt disease. Front. Microbiol. 8, 2179 (2017).
pubmed: 29163453
pmcid: 5681905
doi: 10.3389/fmicb.2017.02179
Zhang, L. et al. Distinct methanotrophic communities exist in habitats with different soil water contents. Soil Biol. Biochem. 132, 143–152 (2019).
doi: 10.1016/j.soilbio.2019.02.007
Stekhoven, D. J. & Buhlmann, P. MissForest -non -parametric missing value imputation for mixed-type data. Bioinformatics 28, 112–118 (2012).
pubmed: 22039212
doi: 10.1093/bioinformatics/btr597
Sanchez, G. PLS path modeling with R. ( http://www.gastonsanchez.com . CA: Trowchez Editions, Berkeley, 2013).
Zhao. L., et al. Spatial heterogeneity of extinction risk for flowering plants in China. Science Data Bank. https://doi.org/10.57760/sciencedb.17283 (2024).