{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,14]],"date-time":"2026-09-14T16:17:08Z","timestamp":1789402628650,"version":"build-2803163510"},"reference-count":56,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2026,8,10]],"date-time":"2026-08-10T00:00:00Z","timestamp":1786320000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"High-level Talent Research Start-up Project","award":["QD2024A19"],"award-info":[{"award-number":["QD2024A19"]}]},{"name":"Smart Education New Workshop Skills Master Project","award":["MNU-JY260022"],"award-info":[{"award-number":["MNU-JY260022"]}]},{"name":"University-level Innovative Experimental Project","award":["MNU-JY25001"],"award-info":[{"award-number":["MNU-JY25001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Biology"],"abstract":"<jats:p>Climate change may substantially alter the habitat suitability and spatial stability of highland edible and medicinal plant resources. Argentina anserina (L.) Rydb. is an important wild resource plant in western China, but its potential distribution and future climate-change response in the three ethnic prefectures of Sichuan Province remain insufficiently understood. In this study, we used an ensemble species distribution modeling framework based on 31 spatially filtered occurrence records and 12 environmental predictors to evaluate the current and future habitat suitability of A. anserina under SSP126, SSP370, and SSP585 scenarios for the 2050s and 2090s. The ensemble model showed acceptable overall discrimination ability and was used to identify broad-scale suitability patterns. Mean diurnal range, precipitation of the driest quarter, isothermality, and topsoil pH were the main environmental predictors, indicating that thermal variability, dry-season moisture availability, and edaphic conditions jointly shaped habitat suitability. Under current conditions, the total suitable habitat area was predicted to be 15.57 \u00d7 104 km2, accounting for 57.2% of the study region, with high-suitability habitats mainly concentrated in the northern, northwestern, and central areas. Future projections suggested an overall decline in suitable habitats, especially in high-suitability areas, although the magnitude varied among scenarios and periods. Spatial change and centroid migration analyses indicated that future suitable habitats may undergo contraction and westward or northwestward redistribution rather than uniform expansion. Niche overlap analysis further showed moderate to relatively high overlap between current and future environmental spaces, suggesting partial niche stability with scenario-dependent shifts. Given the limited field-based occurrence records, these findings should be interpreted as broad-scale spatial guidance rather than precise local predictions.<\/jats:p>","DOI":"10.3390\/biology15161357","type":"journal-article","created":{"date-parts":[[2026,8,10]],"date-time":"2026-08-10T10:23:50Z","timestamp":1786357430000},"page":"1357","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Climate Change Reshapes the Habitat Suitability and Niche Stability of Argentina anserina (L.) Rydb. in Three Ethnic Prefectures of Sichuan Province Based on an Ensemble Model"],"prefix":"10.3390","volume":"15","author":[{"given":"Yu","family":"Huang","sequence":"first","affiliation":[{"name":"School of Computer and Network Security, Mianyang Teachers\u2019 College, Mianyang 621000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer and Network Security, Mianyang Teachers\u2019 College, Mianyang 621000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Geographical Sciences, China West Normal University, Nanchong 637009, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,8,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Zhang, H., Zhang, B., Zhang, Y., Wang, Z., and Liu, Z. (2026). Climate Change Drives Shifts in Suitable Habitats and Habitat Fragmentation of Quercus baronii Forests in China. Forests, 17.","DOI":"10.3390\/f17050598"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Cai, Z., Li, F., Bao, S., Zhang, H., and Shi, J. (2025). Climate Change and Habitat Fragmentation: Implications for the Future Distribution and Assisted Migration of Kobresia pygmaea. Plants, 14.","DOI":"10.3390\/plants14233585"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"eaai9214","DOI":"10.1126\/science.aai9214","article-title":"Biodiversity Redistribution under Climate Change: Impacts on Ecosystems and Human Well-Being","volume":"355","author":"Pecl","year":"2017","journal-title":"Science"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Li, Z., Ta, Z., and Ren, Q. (2026). Mountains Warm Differently: Altitudinal Switch and Seasonal Reversal of Extreme Temperature Asymmetry in the Upper Yangtze River. Earth Systems and Environment, Springer.","DOI":"10.1007\/s41748-026-01091-w"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Li, H., Bai, L., Luo, J., Chen, Z., Yin, Z., Li, P., and Yang, H. (2025). Study on Spatiotemporal Variations of NDVI and Driving Factors during the Vegetation Growth Peak Period in Sichuan\u2013Tibet Interface, Southwest China. Front. For. Glob. Change, 8.","DOI":"10.3389\/ffgc.2025.1652361"},{"key":"ref_6","first-page":"211159","article-title":"Ethnobotanical Studies on the Medicinal and Food Plants of the Argentina anserina of the Qinghai-Tibet Plateau","volume":"35","author":"Huang","year":"2026","journal-title":"Pol. J. Environ. Stud."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"118481","DOI":"10.1016\/j.jep.2024.118481","article-title":"A Systematic Review on Botany, Ethnopharmacology, Phytochemistry and Pharmacology of Potentilla anserina L.","volume":"333","author":"Li","year":"2024","journal-title":"J. Ethnopharmacol."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Gao, D., Yang, X., Lu, D., Wang, C., Wang, J., Li, H., and Guo, X. (2025). Extraction, Purification and Antioxidant Activity of Flavonoids from Potentilla anserina L.. Front. Bioeng. Biotechnol., 13.","DOI":"10.3389\/fbioe.2025.1691606"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.phytochem.2014.03.002","article-title":"Hepatoprotective Triterpenes from Traditional Tibetan Medicine Potentilla anserina","volume":"102","author":"Morikawa","year":"2014","journal-title":"Phytochemistry"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Zhang, X., Zhu, Z., Yuan, Y., Ji, W., Song, C., Lu, H., Zhao, X., Bian, Q., Sun, Z., and Yi, S. (2022). Effects of Precipitation Change and Nitrogen and Phosphorus Additions on Traits and Abundance of Potentilla anserina in an Alpine Meadow. Atmosphere, 13.","DOI":"10.3390\/atmos13111820"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"106610","DOI":"10.1016\/j.ecoleng.2022.106610","article-title":"Implications of Realized Niche for the Conservation and Creation of Potentilla anserina Habitat","volume":"179","author":"Kim","year":"2022","journal-title":"Ecol. Eng."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"e73183","DOI":"10.1002\/ece3.73183","article-title":"On the Limits of Alpine Plants: A Systematic Review of the Factors Behind Species\u2019 Elevational Range Limits","volume":"16","author":"Weides","year":"2026","journal-title":"Ecol. Evol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"33794","DOI":"10.1038\/s41598-025-03324-w","article-title":"Population Assessment and Habitat Suitability Modelling of Endangered Medicinal Plant, Aconitum heterophyllum Wall. ex Royle in the Western Himalaya","volume":"15","author":"Tomar","year":"2025","journal-title":"Sci. Rep."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1007\/s00035-025-00345-z","article-title":"Trade-offs between Extreme-Temperature Tolerance, Avoidance and Facilitation in Tropical Alpine Plants","volume":"136","author":"Martorell","year":"2026","journal-title":"Alp. Bot."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Tavan, M., Azizi, A., Sarikhani, H., Dastres, E., Rigano, M.M., and Mirjalili, M.H. (2026). Predicting the Impact of Climate Change on the Habitat Suitability and Phytochemical Quality of Salvia multicaulis Vahl. BMC Plant Biol., 26.","DOI":"10.1186\/s12870-025-07756-4"},{"key":"ref_16","unstructured":"Li, J. (2004). Biological Characteristics and Applications of the Wild Resource Plant Potentilla anserina L.. [Doctoral Dissertation, Northwest A&F University]. (In Chinese)."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Huang, Y., Yang, J., Zhao, G., and Yang, Y. (2025). Potential Distribution and Cultivation Areas of Argentina anserina (Rosaceae) in the Upper Reaches of the Dadu River and Minjiang River Basin Under Climate Change: Applications of Ensemble and Productivity Dynamic Models. Biology, 14.","DOI":"10.3390\/biology14060668"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"993","DOI":"10.1111\/j.1461-0248.2005.00792.x","article-title":"Predicting Species Distribution: Offering More than Simple Habitat Models","volume":"8","author":"Guisan","year":"2005","journal-title":"Ecol. Lett."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Guo, X., Bai, W., Wang, Y., Hao, S., Zhao, L., Li, X., Guo, Z., and Li, X. (2025). Predicting Habitat Suitability for an Endangered Medicinal Plant, Saussurea medusa: Insights from Ensemble Species Distribution Models. Front. Plant Sci., 16.","DOI":"10.3389\/fpls.2025.1590206"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"22237","DOI":"10.1007\/s11356-021-17338-0","article-title":"Simulation of Potential Suitable Distribution of Original Species of Fritillariae Cirrhosae Bulbus in China under Climate Change Scenarios","volume":"29","author":"Liu","year":"2022","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"e71116","DOI":"10.1002\/ece3.72172","article-title":"Dynamics of Potential Distribution and Cultivation Areas of Plantago asiatica L. under Climate Change: A Case Study of the Upper Dadu River\u2013Minjiang River Basin","volume":"15","author":"Huang","year":"2025","journal-title":"Ecol. Evol."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Huang, Y., Zhao, G., Yang, J., Yang, L., Yang, Y., Jiaba, W., Shama, Z., and Yang, J. (2025). Evolution of Potential Distribution Areas and Cultivation Zones of Morchella esculenta (L.) Pers. under Climate Warming: Application of Ensemble Models and Production Dynamics Models. J. Fungi, 11.","DOI":"10.3390\/jof11070475"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"16434","DOI":"10.1038\/s41598-024-67178-4","article-title":"Prediction of Chinese Suitable Habitats of Panax notoginseng under Climate Change Based on MaxEnt and Chemometric Methods","volume":"14","author":"Guo","year":"2024","journal-title":"Sci. Rep."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"134141","DOI":"10.1016\/j.scitotenv.2019.134141","article-title":"Predicting the Current and Future Distribution of Three Coptis Herbs in China Under Climate Change Conditions, Using the MaxEnt Model and Chemical Analysis","volume":"698","author":"Wang","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Yang, L., Jia, H., and Hua, Q. (2025). Predicting Suitable Habitats of Parasitic Desert Species Based on Biomod2 Ensemble Model: Cynomorium songaricum Rupr. and Its Host Plants as an Example. BMC Plant Biol., 25.","DOI":"10.1186\/s12870-025-06370-8"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Syphard, A.D., Rustigian-Romsos, H., Franco, D., and Forrestel, A. (2026). Lessons Learned Using Species\u2019 Distribution Models for Conservation Planning in the Golden Gate Biosphere Reserve. PLoS ONE, 21.","DOI":"10.1371\/journal.pone.0343037"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1111\/ecog.01132","article-title":"spThin: An R Package for Spatial Thinning of Species Occurrence Records for Use in Ecological Niche Models","volume":"38","author":"Boria","year":"2015","journal-title":"Ecography"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Huang, Y., Zhao, G., Yang, Y., Yang, J., and Zhi, J.B.W. (2025). Distribution and Cultivation Area Dynamics of Aralia elata (Miq.) Seem. in the Upper Reaches of the Dadu\u2013Minjiang River under Climate Change. BMC Plant Biol., 25.","DOI":"10.1186\/s12870-025-07297-w"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Huang, Y., Yang, J., Zhao, G., Yang, Y., Jiaba, W., Li, J., Yang, T., and Yao, J. (2025). Changes in Potential Distribution and Cultivation Areas of Allium ovalifolium L. under Climate Change. Front. Plant Sci., 16.","DOI":"10.3389\/fpls.2025.1629527"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"3597","DOI":"10.15244\/pjoes\/146936","article-title":"Prediction of Potential Geographic Distribution of Endangered Relict Tree Species Dipteronia sinensis in China Based on MaxEnt and GIS","volume":"31","author":"Huang","year":"2022","journal-title":"Pol. J. Environ. Stud."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.ecolmodel.2005.03.026","article-title":"Maximum entropy modeling of species geographic distributions","volume":"190","author":"Phillips","year":"2006","journal-title":"Ecol. Model."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1111\/j.2041-210X.2010.00036.x","article-title":"The Art of Modelling Range-Shifting Species","volume":"1","author":"Elith","year":"2010","journal-title":"Methods Ecol. Evol."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1220","DOI":"10.1038\/s41598-023-51035-x","article-title":"Modeling the Potential Distribution of the Energy Tree Species Triadica sebifera in Response to Climate Change in China","volume":"14","author":"Liu","year":"2024","journal-title":"Sci. Rep."},{"key":"ref_34","unstructured":"Cai, Y., and Zhang, H. (2025). Range Shifts of the Endangered Luehdorfia chinensis chinensis (Lepidoptera, Papilionidae) and Its Specific Hosts in China Under Climate Change. Insects, 16."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Intergovernmental Panel on Climate Change (IPCC) (2023). Changing State of the Climate System. Climate Change 2021\u2014The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press.","DOI":"10.1017\/9781009157896"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"e72448","DOI":"10.1002\/ece3.72448","article-title":"Projected Expansion and Northwestern Shift of Wikstroemia indica Suitable Habitats in China Under Multiple Climate Change Scenarios: An Optimized MaxEnt Approach","volume":"15","author":"Xiang","year":"2025","journal-title":"Ecol. Evol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2868","DOI":"10.1111\/j.1558-5646.2008.00482.x","article-title":"Environmental Niche Equivalency versus Conservatism: Quantitative Approaches to Niche Evolution","volume":"62","author":"Warren","year":"2008","journal-title":"Evolution"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1344","DOI":"10.1111\/jbi.12894","article-title":"A Quantitative Synthesis of the Importance of Variables Used in MaxEnt Species Distribution Models","volume":"44","author":"Bradie","year":"2017","journal-title":"J. Biogeogr."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1098\/rstb.2011.0178","article-title":"Incorporating Uncertainty in Predictive Species Distribution Modelling","volume":"367","author":"Beale","year":"2012","journal-title":"Philos. Trans. R. Soc. B Biol. Sci."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"ecog.07294","DOI":"10.1111\/ecog.07294","article-title":"Optimising Occurrence Data in Species Distribution Models: Sample Size, Positional Uncertainty, and Sampling Bias Matter","volume":"2024","author":"Moudry","year":"2024","journal-title":"Ecography"},{"key":"ref_41","unstructured":"Thuiller, W., Georges, D., Gu\u00e9guen, M., Engler, R., and Breiner, F. (2026, March 10). biomod2: Ensemble Platform for Species Distribution Modeling. R Package Version 4.2-4. Available online: https:\/\/CRAN.R-project.org\/package=biomod2."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Li, Z., Ji, Q., Yang, Y., Gao, Y., Xu, M., and Guan, Y. (2025). Predicting the Potential Suitable Distribution of Albizia odoratissima (L.f.) Benth. under Climate Change Based on the Biomod2 Model. Biology, 14.","DOI":"10.3390\/biology14020180"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1223","DOI":"10.1111\/j.1365-2664.2006.01214.x","article-title":"Assessing the accuracy of species distribution models: Prevalence, kappa and the true skill statistic (TSS)","volume":"43","author":"Allouche","year":"2006","journal-title":"J. Appl. Ecol."},{"key":"ref_44","first-page":"315","article-title":"Matching Species Traits to Climate Change: A Framework for Climate Change Vulnerability Assessment in Species Distribution Models","volume":"23","author":"Nerenberg","year":"2014","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1267","DOI":"10.1111\/ecog.03947","article-title":"Incorporating Microclimate into Species Distribution Models","volume":"42","author":"Lembrechts","year":"2019","journal-title":"Ecography"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Korner, C. (2021). Alpine Plant Life: Functional Plant Ecology of High Mountain Ecosystems, Springer. [3rd ed.].","DOI":"10.1007\/978-3-030-59538-8"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Lee, J.-H., Lee, E.-S., Lee, J.-S., and Seo, C.-W. (2025). Mapping Endangered Plant Distributions, Species Richness, and Climate Refugia Under SSP Climate Scenarios in South Korea. Plants, 14.","DOI":"10.3390\/plants14243735"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Li, S., Li, Y., Hu, M., Li, Y., Yang, M., Wang, S., Yu, W., Cheng, C., and Cheng, Q. (2025). Ecological Risk Assessment of Future Suitable Areas for Piper kadsura under the Background of Climate Change. Front. Plant Sci., 15.","DOI":"10.3389\/fpls.2024.1471706"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/s11104-023-05960-5","article-title":"The Effects of pH on Nutrient Availability Depend on Both Soils and Plants","volume":"487","author":"Barrow","year":"2023","journal-title":"Plant Soil"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.ecolmodel.2008.04.010","article-title":"Slope, Aspect and Climate: Spatially Explicit and Implicit Models of Topographic Microclimate in Chalk Grassland","volume":"216","author":"Bennie","year":"2008","journal-title":"Ecol. Model."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1177\/0309133317738162","article-title":"Soil Factors Improve Predictions of Plant Species Distribution in a Mountain Environment","volume":"41","author":"Buri","year":"2017","journal-title":"Prog. Phys. Geogr. Earth Environ."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"29945","DOI":"10.1038\/s41598-025-15693-3","article-title":"Assessing the Impacts of Climate Change and Human Activities on Distribution of Lophatherum gracile in China Using the MaxEnt Model","volume":"15","author":"Lu","year":"2025","journal-title":"Sci. Rep."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"30579","DOI":"10.1038\/s41598-024-82164-6","article-title":"Estimating Global Geographical Distribution and Ecological Niche Dynamics of Ammannia coccinea under Climate Change Based on Biomod2","volume":"14","author":"Zhang","year":"2024","journal-title":"Sci. Rep."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1111\/j.1466-8238.2011.00698.x","article-title":"Measuring Ecological Niche Overlap from Occurrence and Spatial Environmental Data","volume":"21","author":"Broennimann","year":"2012","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1002\/fee.2204","article-title":"Topoclimates, Refugia, and Biotic Responses to Climate Change","volume":"18","author":"Ackerly","year":"2020","journal-title":"Front. Ecol. Environ."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"2941","DOI":"10.1111\/gcb.13629","article-title":"Hydrologic Refugia, Plants, and Climate Change","volume":"23","author":"McLaughlin","year":"2017","journal-title":"Glob. Change Biol."}],"container-title":["Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-7737\/15\/16\/1357\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,10]],"date-time":"2026-08-10T10:59:22Z","timestamp":1786359562000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-7737\/15\/16\/1357"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,10]]},"references-count":56,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2026,8]]}},"alternative-id":["biology15161357"],"URL":"https:\/\/doi.org\/10.3390\/biology15161357","relation":{},"ISSN":["2079-7737"],"issn-type":[{"value":"2079-7737","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,10]]}}}