Species Distribution Models in plant conservation science: a comprehensive review with a focus on Iran
Published: December 6 2024
Abstract Views: 554
PDF: 91
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
This review article thoroughly examines the role of Species Distribution Models (SDMs) in plant conservation science, with a specific focus on applications within Iran. Commencing with an extensive methodological approach, involving an exhaustive search across reputable academic databases such as Scopus, Web of Science, and Google Scholar, the review synthesizes a comprehensive set of studies. It offers deep insights into SDM principles, challenges, and transformative applications. Addressing these challenges, the review explores contemporary data collection methods, including the use of remote sensing, drones, and citizen science, which enhance the precision and scope of SDMs. A detailed examination of various modelling algorithms and approaches, including MaxEnt, Random Forest, Bayesian models, and others, highlights their specific applications and contributions to plant conservation. The review also integrates climate change data and various scenarios into SDMs, showcasing case studies that illustrate SDMs' potential to predict shifts in plant distributions in response to changing climate conditions and overexploitation. Emphasizing the importance of spatial scale, the review discusses its critical impact on the accuracy of modelling and conservation planning. The article concludes by underlining the indispensable role of SDMs in advancing plant conservation efforts, offering tailored recommendations for researchers, policymakers, and conservation practitioners.
Altmetrics
Downloads
Download data is not yet available.
Citations
Abbott R. E., Doak D. F. & DeMarche M. L., 2017 - Portfolio Effects, Climate Change, and the Persistence of Small Populations: Analyses on the Rare Plant Saussurea Weberi. Ecology, 98 (4): 1071-1081. <https://doi.org/10.1002/ecy.1738> DOI: https://doi.org/10.1002/ecy.1738
Adhikari A., Mainali K. P., Rangwala I. & Hansen A. J., 2019 - Various Measures of Potential Evapotranspiration Have Species-Specific Impact on Species Distribution Models. Ecological Modelling, 414: 108836. <https://doi.org/10.1016/j.ecolmodel.2019.108836> DOI: https://doi.org/10.1016/j.ecolmodel.2019.108836
Ahmadi K., Mahmoodi S., Pal S. C., Saha A., Chowdhuri I., Kolyaie S., Linh N. T. T. & Kumar L., 2023 - Modeling tree species richness patterns and their environmental drivers across Hyrcanian mountain forests. Ecological Informatics, 77: 102226. <https://doi.org/10.1016/j.ecoinf.2023.102226> DOI: https://doi.org/10.1016/j.ecoinf.2023.102226
Alavi S. J., Ahmadi K., Hosseini S. M., Tabari M. & Nouri Z., 2019 - The response of English yew (Taxus baccata L.) to climate change in the Caspian Hyrcanian Mixed Forest ecoregion. Regional Environmental Change, 19: 1495-1506. <https://doi.org/10.1007/s10113-019-01483-x> DOI: https://doi.org/10.1007/s10113-019-01483-x
Amiri M., Tarkesh M., Jafari R. & Jetschke G., 2020 - Bioclimatic Variables from Precipitation and Temperature Records Vs. Remote Sensing-Based Bioclimatic Variables: Which Side Can Perform Better in Species Distribution Modeling? Ecological Informatics, 57: 101060. <https://doi.org/10.1016/j.ecoinf.2020.101060> DOI: https://doi.org/10.1016/j.ecoinf.2020.101060
Araújo M. B., Anderson R. P., Márcia Barbosa A., Beale C. M., Dormann C. F., Early R., Garcia R. A., Guisan A., Maiorano L. & Naimi B., et al., 2019 - Standards for Distribution Models in Biodiversity Assessments. Science advances, 5 (1): eaat4858. DOI: https://doi.org/10.1126/sciadv.aat4858
Beaumont L. J., Graham E., Duursma D. E., Wilson P. D., Cabrelli A., Baumgartner J. B., Hallgren W., Esperón-Rodríguez M., Nipperess D. A., Warren D. L., Laffan S. W., et al., 2016 - Which Species Distribution Models Are More (or Less) Likely to Project Broad-Scale, Climate-Induced Shifts in Species Ranges? Ecological Modelling, 342: 135-146. <https://doi.org/10.1016/j.ecolmodel.2016.10.004> DOI: https://doi.org/10.1016/j.ecolmodel.2016.10.004
Besnard G., Gaudeul M., Lavergne S., Muller S., Rouhan G., Sukhorukov A. P., Vanderpoorten A. & Jabbour F., 2018 - Herbarium-Based Science in the Twenty-First Century. DOI: https://doi.org/10.1080/23818107.2018.1482783
Botany Letters, 165 (3-4): 323-327. <https://doi.org/10.1080/23818107.2018.1482783>
Bonebrake T. C., Brown C. J., Bell J. D., Blanchard J. L., Chauvenet A., Champion C., Chen I. C., Clark T. D., Colwell R. K., Danielsen F., et al., 2018 - Managing Consequences of Climate‐Driven Species Redistribution Requires Integration of Ecology, Conservation and Social Science. Biological Reviews, 93: 284-305. <https://doi.org/10.1111/brv.12344> DOI: https://doi.org/10.1111/brv.12344
Lovelace R., Nowosad J. & Muenchow J., 2020 - Geocomputation with R, SAGE Publications Sage UK: London, England. DOI: https://doi.org/10.1201/9780203730058
Caravaggi A., Burton A. C., Clark D. A., Fisher J. T., Grass A., Green S., Hobaiter C., Hofmeester T. R., Kalan A. K., Rabaiotti D., et al., 2020 - A Review of Factors to Consider When Using Camera Traps to Study Animal Behavior to Inform Wildlife Ecology and Conservation. Conservation Science and Practice, 2 (8): e239. <https://doi.org/10.1111/csp2.239> DOI: https://doi.org/10.1111/csp2.239
Castellanos-Galindo G. A., Casella E., Mejía-Rentería J. C. & Rovere A., 2019 - Habitat Mapping of Remote Coasts: Evaluating the Usefulness of Lightweight Unmanned Aerial Vehicles for Conservation and Monitoring. Biological Conservation, 239: 108282. <https://doi.org/10.1016/j.biocon.2019.108282> DOI: https://doi.org/10.1016/j.biocon.2019.108282
Cha Y., Shin J., Go B., Lee D. S., Kim Y., Kim T. & Park Y. S., 2021 - An Interpretable Machine Learning Method for Supporting Ecosystem Management: Application to Species Distribution Models of Freshwater Macroinvertebrates. Journal of environmental management, 291: 112719. <https://doi.org/10.1016/j.jenvman.2021.112719> DOI: https://doi.org/10.1016/j.jenvman.2021.112719
Chen R. C., Caraka R. E., Arnita N. E. G., Pomalingo S., Rachman A., Toharudin T., Tai S. K. & Pardamean B., 2020 - An End to End of Scalable Tree Boosting System. Sylwan, 165: 1-11.
Classen A., Steffan‐Dewenter I., Kindeketa W. J. & Peters M. K., 2017 - Integrating Intraspecific Variation in Community Ecology Unifies Theories on Body Size Shifts Along Climatic Gradients. Functional Ecology, 31 (3): 768-777. <https://doi.org/10.1111/1365-2435.12786> DOI: https://doi.org/10.1111/1365-2435.12786
Dangremond E. M., Hill C. H., Louaibi S. & Munoz I., 2022 - Phenological Responsiveness and Fecundity Decline near the Southern Range Limit of Trientalis Borealis (Primulaceae). Plant Ecology, 223: 41-52. <https://doi.org/10.1007/s11258-021-01190-w> DOI: https://doi.org/10.1007/s11258-021-01190-w
Danino M., Shnerb N. M., Azaele S., Kunin W. E. & Kessler D. A., 2016 - The Effect of Environmental Stochasticity on Species Richness in Neutral Communities. Journal of theoretical biology, 409: 155-164. <https://doi.org/10.1016/j.jtbi.2016.08.029> DOI: https://doi.org/10.1016/j.jtbi.2016.08.029
de Queiroz T. F., Baughman C., Baughman O., Gara M. & Williams N., 2012 - Species Distribution Modeling for Conservation of Rare, Edaphic Endemic Plants in White River Valley, Nevada. Natural Areas Journal, 32 (2): 149-158. <https://doi.org/10.3375/043.032.0203> DOI: https://doi.org/10.3375/043.032.0203
Dullinger S., Gattringer A., Thuiller W., Moser D., Zimmermann N. E., Guisan A., Willner W., Plutzar C., Leitner M., Hülber K., et al., 2012 - Extinction debt of high-mountain plants under twenty-first-century climate change. Nature climate change, 2(8): 619-622. <https://doi.org/10.1038/nclimate1514> DOI: https://doi.org/10.1038/nclimate1514
Erfanian M. B., Sagharyan M., Memariani F. & Ejtehadi H., 2021 - Predicting Range Shifts of Three Endangered Endemic Plants of the Khorassan-Kopet Dagh Floristic Province under Global Change. Scientific reports, 11: 9159. <https://doi.org/10.1038/s41598-021-88577-x> DOI: https://doi.org/10.1038/s41598-021-88577-x
Escobar L. E. & Craft M. E., 2016 - Advances and Limitations of Disease Biogeography Using Ecological Niche Modeling. Frontiers in microbiology, 7: 1174. <https://doi.org/10.3389/fmicb.2016.01174> DOI: https://doi.org/10.3389/fmicb.2016.01174
Fragniere Y., Gremaud J., Pesenti E., Bétrisey S., Petitpierre B., Guisan A. & Kozlowski G., 2022 - Mapping Habitats Sensitive to Overgrazing in the Swiss Northern Alps Using Habitat Suitability Modeling. Biological Conservation, 274: 109742. <https://doi.org/10.1016/j.biocon.2022.109742> DOI: https://doi.org/10.1016/j.biocon.2022.109742
Gao T., Xu Q., Liu Y., Zhao J. & Shi J., 2021 - Predicting the Potential Geographic Distribution of Sirex Nitobei in China under Climate Change Using Maximum Entropy Model. Forests, 12 (2): 151. <https://doi.org/10.3390/f12020151> DOI: https://doi.org/10.3390/f12020151
Gao W. & Zhou Z., 2020 - Towards Convergence Rate Analysis of Random Forests for Classification. Advances in neural information processing systems, 33: 9300-9311.
Gawne B., Hale J., Stewardson M. J., Webb J. A., Ryder D. S., Brooks S. S., Campbell C. J., Capon S. J., Everingham P., Grace M. R., et al., 2020 - Monitoring of Environmental Flow Outcomes in a Large River Basin: The Commonwealth Environmental Water Holder's Long‐Term Intervention in the Murray–Darling Basin, Australia. River Research and Applications, 36 (4): 630-644. <https://doi.org/10.1002/rra.3504> DOI: https://doi.org/10.1002/rra.3504
Giovos I., Kleitou P., Poursanidis D., Batjakas I., Bernardi G., Crocetta F., Doumpas N., Kalogirou S., Kampouris T. E., Keramidas I., et al., 2019 - Citizen-Science for Monitoring Marine Invasions and Stimulating Public Engagement: A Case Project from the Eastern Mediterranean. Biological Invasions, 21: 3707-3721. <https://doi.org/10.1007/s10530-019-02083-w> DOI: https://doi.org/10.1007/s10530-019-02083-w
Graham V., Baumgartner J. B., Beaumont L. J., Esperón-Rodríguez M. & Grech A., 2019 - Prioritizing the Protection of Climate Refugia: Designing a Climate-Ready Protected Area Network. Journal of Environmental Planning and Management, 62 (14): 2588-2606. <https://doi.org/10.1080/09640568.2019.1573722> DOI: https://doi.org/10.1080/09640568.2019.1573722
Hamilton S. E. & Casey D., 2016 - Creation of a High Spatio‐Temporal Resolution Global Database of Continuous Mangrove Forest Cover for the 21st Century (Cgmfc‐21). Global Ecology and Biogeography, 25 (6): 729-738. <https://doi.org/10.1111/geb.12449> DOI: https://doi.org/10.1111/geb.12449
Harvey E., Gounand I., Ward C. L. & Altermatt F., 2017 - Bridging Ecology and Conservation: From Ecological Networks to Ecosystem Function. Journal of Applied Ecology, 54 (2): 371-379. <https://doi.org/10.1111/1365-2664.12769> DOI: https://doi.org/10.1111/1365-2664.12769
Heberling J. M., 2022 - Herbaria as Big Data Sources of Plant Traits. International Journal of Plant Sciences, 183 (2): 87-118. <https://doi.org/10.1086/717623> DOI: https://doi.org/10.1086/717623
Hosseini N., Mehrabian A. & Mostafavi H., 2022 - Modeling Climate Change Effects on Spatial Distribution of Wild Aegilops L.(Poaceae) toward Food Security Management and Biodiversity Conservation in Iran. Integrated Environmental Assessment and Management, 18 (3): 697-708. <https://doi.org/10.1002/ieam.4531> DOI: https://doi.org/10.1002/ieam.4531
Iverson L. R., Prasad A. M., Peters M. P. & Matthews S. N., 2019 - Facilitating Adaptive Forest Management under Climate Change: A Spatially Specific Synthesis of 125 Species for Habitat Changes and Assisted Migration over the Eastern United States. Forests, 10 (11): 989. <https://doi.org/10.3390/f10110989> DOI: https://doi.org/10.3390/f10110989
Johnson M. D., Freeland J. R., Parducci L., Evans D. M., Meyer R. S., Molano‐Flores B. & Davis M. A., 2023 - Environmental DNA as an Emerging Tool in Botanical Research. American journal of botany, 110 (2): e16120. <https://doi.org/10.1002/ajb2.16120> DOI: https://doi.org/10.1002/ajb2.16120
Kariyawasam C. S., Kumar L. & Ratnayake S. S., 2019 - Invasive Plants Distribution Modeling: A Tool for Tropical Biodiversity Conservation with Special Reference to Sri Lanka. Tropical Conservation Science, 12. <https://doi.org/10.1177/1940082919864269> DOI: https://doi.org/10.1177/1940082919864269
Lee‐Yaw J. A., McCune J. L., Pironon S. & Sheth S. N., 2022 - Species Distribution Models Rarely Predict the Biology of Real Populations. Ecography, 2022 (6): e05877. <https://doi.org/10.1111/ecog.05877> DOI: https://doi.org/10.1111/ecog.05877
Lee Y., 2021 - Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R. Roback P. & Legler J. Taylor & Francis, Providence, 75 (4): 450-451 DOI: https://doi.org/10.1080/00031305.2021.1985862
Li W., Zhao Q., Guo M., Lu C., Huang F., Wang Z. & Niu J., 2022 - Predicting the Potential Distribution of the Endangered Plant Cremastra Appendiculata (Orchidaceae) in China under Multiple Climate Change Scenarios. Forests, 13 (9): 1504. <https://doi.org/10.3390/f13091504> DOI: https://doi.org/10.3390/f13091504
Liang Y. & Song W., 2022 - Integrating Potential Ecosystem Services Losses into Ecological Risk Assessment of Land Use Changes: A Case Study on the Qinghai-Tibet Plateau. Journal of environmental management, 318: 115607. <https://doi.org/10.1016/j.jenvman.2022.115607> DOI: https://doi.org/10.1016/j.jenvman.2022.115607
Limaki M. K., Nimvari M. E. H., Alavi S. J., Mataji A. & Kazemnezhad F., 2021 - Potential elevation shift of oriental beech (Fagus orientalis L.) in Hyrcanian mixed forest ecoregion under future global warming. Ecological Modelling, 455: 109637. <https://doi.org/10.1016/j.ecolmodel.2021.109637> DOI: https://doi.org/10.1016/j.ecolmodel.2021.109637
Lippi C. A., Stewart-Ibarra A. M., Loor M. E. F. B., Zambrano J. E. D., Lopez N. A. E., Blackburn J. K. & Ryan S. J., 2019 - Geographic Shifts in Aedes Aegypti Habitat Suitability in Ecuador Using Larval Surveillance Data and Ecological Niche Modeling: Implications of Climate Change for Public Health Vector Control. PLoS neglected tropical diseases, 13 (4): e0007322. <https://doi.org/10.1371/journal.pntd.0007322> DOI: https://doi.org/10.1371/journal.pntd.0007322
Littlefield C. E., Krosby M., Michalak J. L. & Lawler J. J., 2019 - Connectivity for Species on the Move: Supporting Climate‐Driven Range Shifts. Frontiers in Ecology and the Environment, 17 (5): 270-278. <https://doi.org/10.1002/fee.2043> DOI: https://doi.org/10.1002/fee.2043
Liu C., Newell G. & White M., 2019 - The Effect of Sample Size on the Accuracy of Species Distribution Models: Considering Both Presences and Pseudo‐Absences or Background Sites. Ecography, 42 (3): 535-548. <https://doi.org/10.1111/ecog.03188> DOI: https://doi.org/10.1111/ecog.03188
Liu J., Wilson M., Hu G., Liu J., Wu J. & Yu M., 2018 - How Does Habitat Fragmentation Affect the Biodiversity and Ecosystem Functioning Relationship? Landscape ecology, 33: 341-352. <https://doi.org/10.1007/s10980-018-0620-5> DOI: https://doi.org/10.1007/s10980-018-0620-5
Maassoumi A. A. and Ashouri P., 2022 - The hotspots and conservation gaps of the mega genus Astragalus (Fabaceae) in the Old-World. Biodiversity and Conservation, 31: 2119-2139. <https://doi.org/10.1007/s10531-022-02429-2> DOI: https://doi.org/10.1007/s10531-022-02429-2
Mahmoodi S., Heydari M., Ahmadi K., Khwarahm N. R., Karami O., Almasieh K., Naderi B., Bernard P. & Mosavi A., 2022 - The Current and Future Potential Geographical Distribution of Nepeta Crispa Willd., an Endemic, Rare and Threatened Aromatic Plant of Iran: Implications for Ecological Conservation and Restoration. Ecological Indicators, 137: 108752. <https://doi.org/10.1016/j.ecolind.2022.108752> DOI: https://doi.org/10.1016/j.ecolind.2022.108752
Mahmoodi S., Ahmadi K., Heydari M., Karami O., Esmailzadeh O. & Heung B., 2023 - Elevational shift of endangered European yew under climate change in Hyrcanian mountain forests: Rethinking conservation-restoration strategies and management. Forest Ecology and Management, 529: 120693. <https://doi.org/10.1016/j.foreco.2022.120693> DOI: https://doi.org/10.1016/j.foreco.2022.120693
Marsico T. D., Krimmel E. R., Carter J. R., Gillespie E. L., Lowe P. D., McCauley R., Morris A. B., Nelson G., Smith M. & Soteropoulos D. L., et al., 2020 - Small Herbaria Contribute Unique Biogeographic Records to County, Locality, and Temporal Scales. American journal of botany, 107 (11): 1577-1587. <https://doi.org/10.1002/ajb2.1563> DOI: https://doi.org/10.1002/ajb2.1563
Mason R. E., Craine J. M., Lany N. K., Jonard M., Ollinger S. V., Groffman P. M., Fulweiler R. W., Angerer J., Read Q. D. & Reich P. B., et al., 2022 - Evidence, Causes, and Consequences of Declining Nitrogen Availability in Terrestrial Ecosystems. Science, 376: eabh3767. DOI: https://doi.org/10.1126/science.abh3767
Masson-Delmotte V., Zhai P., Pirani A., Connors S. L., Péan C., Berger S., Caud N., Chen Y., Goldfarb L. & Gomis M., 2021 - Climate Change 2021: The Physical Science Basis.
McCune J., 2016 - Species Distribution Models Predict Rare Species Occurrences Despite Significant Effects of Landscape Context. Journal of Applied Ecology, 53 (6): 1871-1879. <https://doi.org/10.1111/1365-2664.12702> DOI: https://doi.org/10.1111/1365-2664.12702
McPherson K., 2022 - Bringing Home the Lost Vegetable Sheep: A Phylogenomic Study of the Senecioneae Genus Haastia.
Mirhashemi H., Heydari M., Ahmadi K., Karami O., Kavgaci A., Matsui T. & Heung B., 2023 - Species Distribution Models of Brant's Oak (Quercus Brantii Lindl.): The Impact of Spatial Database on Predicting the Impacts of Climate Change. Ecological Engineering, 194: 107038. <https://doi.org/10.1016/j.ecoleng.2023.107038> DOI: https://doi.org/10.1016/j.ecoleng.2023.107038
Molano-Flores B., Johnson S. A., Marcum P. B. & Feist M. A., 2023 - Utilizing Herbarium Specimens to Assist with the Listing of Rare Plants. Frontiers in Conservation Science, 4: 1144593. <https://doi.org/10.3389/fcosc.2023.1144593> DOI: https://doi.org/10.3389/fcosc.2023.1144593
Naqinezhad A., De Lombaerde E., Gholizadeh H., Wasof S., Perring M. P., Meeussen C., De Frenne P. & Verheyen K., 2022 - The Combined Effects of Climate and Canopy Cover Changes on Understorey Plants of the Hyrcanian Forest Biodiversity Hotspot in Northern Iran. Global Change Biology, 28 (3): 1103-1118. <https://doi.org/10.1111/gcb.15946> DOI: https://doi.org/10.1111/gcb.15946
Nicholson E., Watermeyer K. E., Rowland J. A., Sato C. F., Stevenson S. L., Andrade A., Brooks T. M., Burgess N. D., Cheng S. T., Grantham H. S., et al., 2021 - Scientific Foundations for an Ecosystem Goal, Milestones and Indicators for the Post-2020 Global Biodiversity Framework. Nat Ecol Evol, 5: 1338-1349. <https://doi.org/10.1038/s41559-021-01538-5> DOI: https://doi.org/10.1038/s41559-021-01538-5
Niknaddaf Z., Hemami M. R., Pourmanafi S. & Ahmadi M., 2023 - An integrative climate and land cover change detection unveils extensive range contraction in mountain newts. Global Ecology and Conservation, 48: e02739. <https://doi.org/10.1016/j.gecco.2023.e02739> DOI: https://doi.org/10.1016/j.gecco.2023.e02739
Noori S., Hofmann A., Rödder D., Husemann M. & Rajaei H., 2024 - A window to the future: effects of climate change on the distribution patterns of Iranian Zygaenidae and their host plants. Biodiversity and Conservation, 33: 579-602. <https://doi.org/10.1007/s10531-023-02760-2> DOI: https://doi.org/10.1007/s10531-023-02760-2
Nyumba T. O., Wilson K., Derrick C. J. & Mukherjee N., 2018 - The Use of Focus Group Discussion Methodology: Insights from Two Decades of Application in Conservation. Methods in Ecology and Evolution, 9 (1): 20-32. <https://doi.org/10.1111/2041-210X.12860> DOI: https://doi.org/10.1111/2041-210X.12860
Ovaskainen O., Roy D. B., Fox R. & Anderson B. J., 2016 - Uncovering Hidden Spatial Structure in Species Communities with Spatially Explicit Joint Species Distribution Models. Methods in Ecology and Evolution, 7 (4): 428-436. <https://doi.org/10.1111/2041-210X.12502> DOI: https://doi.org/10.1111/2041-210X.12502
Oyster J. H., Keren I. N., Hansen S. J. & Harris R. B., 2018 - Hierarchical Mark‐Recapture Distance Sampling to Estimate Moose Abundance. The Journal of Wildlife Management, 82 (8): 1668-1679. <https://doi.org/10.1002/jwmg.21541> DOI: https://doi.org/10.1002/jwmg.21541
Palit K., Rath S., Chatterjee S. & Das S., 2022 - Microbial Diversity and Ecological Interactions of Microorganisms in the Mangrove Ecosystem: Threats, Vulnerability, and Adaptations. Environmental Science and Pollution Research, 29: 32467-32512. <https://doi.org/10.1007/s11356-022-19048-7> DOI: https://doi.org/10.1007/s11356-022-19048-7
Pesce S., Bérard A., Coutellec M., Hedde M., Langlais-Hesse A., Larras F., Leenhardt S., Mongruel R., Munaron D., Sabater S., et al., 2023 - Linking Ecotoxicological Effects on Biodiversity and Ecosystem Functions to Impairment of Ecosystem Services Is a Challenge: An Illustration with the Case of Plant Protection Products. Environmental Science and Pollution Research, <https://doi.org/10.1007/s11356-023-29128-x> DOI: https://doi.org/10.1007/s11356-023-29128-x
Petsch D. K., Cionek V. M., Thomaz S. M. & dos Santos L., 2023 - Ecosystem Services Provided by River-Floodplain Ecosystems. Hydrobiologia, 850: 2563-2584. <https://doi.org/10.1007/s10750-022-04916-7> DOI: https://doi.org/10.1007/s10750-022-04916-7
Plutino M., Bianchetto E., Durazzo A., Lucarini M., Lucini L. & Negri I., 2022 - Rethinking the Connections between Ecosystem Services, Pollinators, Pollution, and Health: Focus on Air Pollution and Its Impacts. International Journal of Environmental Research and Public Health, 19 (5): 2997. <https://doi.org/10.3390/ijerph19052997> DOI: https://doi.org/10.3390/ijerph19052997
Pricope N. G., Mapes K. L. & Woodward K. D., 2019 - Remote Sensing of Human–Environment Interactions in Global Change Research: A Review of Advances, Challenges and Future Directions. Remote Sensing, 11 (23): 2783. <https://doi.org/10.3390/rs11232783> DOI: https://doi.org/10.3390/rs11232783
Qazi A. W., Saqib Z. & Zaman-ul-Haq M., 2022 - Trends in Species Distribution Modelling in Context of Rare and Endemic Plants: A Systematic Review. Ecological Processes, 11. <https://doi.org/10.1186/s13717-022-00384-v> DOI: https://doi.org/10.1186/s13717-022-00384-y
Ribeiro B. R., Guidoni-Martins K., Tessarolo G., Velazco S. J. E., Jardim L., Bachman S. P. & Loyola R., 2022 - Issues with Species Occurrence Data and Their Impact on Extinction Risk Assessments. Biological Conservation, 273: 109674. <https://doi.org/10.1016/j.biocon.2022.109674> DOI: https://doi.org/10.1016/j.biocon.2022.109674
Rocchini D., Petras V., Petrasova A., Horning N., Furtkevicova L., Neteler M., Leutner B. & Wegmann M., 2017 - Open Data and Open Source for Remote Sensing Training in Ecology. Ecological Informatics, 40: 57-61. <https://doi.org/10.1016/j.ecoinf.2017.05.004> DOI: https://doi.org/10.1016/j.ecoinf.2017.05.004
Rocha-Ortega M., Rodríguez P., Bried J., Abbott J. & Córdoba-Aguilar A., 2020 - Why Do Bugs Perish? Range Size and Local Vulnerability Traits as Surrogates of Odonata Extinction Risk. Proceedings of the Royal Society B, 287 (1924): 20192645. <https://doi.org/10.1098/rspb.2019.2645> DOI: https://doi.org/10.1098/rspb.2019.2645
Rønsted N., Campbell R., DeMotta M., Edmonds M., Houck K., Kahokuloa Jr M., Mayfield K. K., Nyberg B., Opgenorth M., Walsh S. K., et al., 2023 - Restoration of Threatened Plant Species in Limahuli Valley on the Hawaiian I Sland of Kaua'i in the Framework of the Global Tree Assessment. Plants, People, Planet, 5 (4): 547-562. <https://doi.org/10.1002/ppp3.10301> DOI: https://doi.org/10.1002/ppp3.10301
Rühm W., Friedl A. A. & Wojcik A., 2023 - Un Sustainable Development Goals: Establishment of an Electronic ‘Collection’of Papers Published in Radiation and Environmental Biophysics. Radiation and Environmental Biophysics, 62: 173-174. <https://doi.org/10.1007/s00411-023-01028-1> DOI: https://doi.org/10.1007/s00411-023-01028-1
Safaei M., Rezayan H., Firouzabadi P. Z. & Sadidi J., 2021 - Optimization of Species Distribution Models Using a Genetic Algorithm for Simulating Climate Change Effects on Zagros Forests in Iran. Ecological Informatics, 63: 101288. <https://doi.org/10.1016/j.ecoinf.2021.101288> DOI: https://doi.org/10.1016/j.ecoinf.2021.101288
Sanguet A., Wyler N., Petitpierre B., Honeck E., Poussin C., Martin P. & Lehmann A., 2022 - Beyond Topo-Climatic Predictors: Does Habitats Distribution and Remote Sensing Information Improve Predictions of Species Distribution Models? Global Ecology and Conservation, 39: e02286. <https://doi.org/10.1016/j.gecco.2022.e02286> DOI: https://doi.org/10.1016/j.gecco.2022.e02286
Saran S., Chaudhary S. K., Singh P., Tiwari A. & Kumar V., 2022 - A Comprehensive Review on Biodiversity Information Portals. Biodiversity and Conservation, 31: 1445-1468. <https://doi.org/10.1007/s10531-022-02420-x> DOI: https://doi.org/10.1007/s10531-022-02420-x
Shaikh S. F. E. A., See S. C., Richards D., Belcher R. N., Grêt-Regamey A., Torres M. G. & Carrasco L. R., 2021 - Accounting for Spatial Autocorrelation Is Needed to Avoid Misidentifying Trade-Offs and Bundles among Ecosystem Services. Ecological Indicators, 129: 107992. <https://doi.org/10.1016/j.ecolind.2021.107992> DOI: https://doi.org/10.1016/j.ecolind.2021.107992
Shay J. E., Pennington L. K., Mandussi Montiel-Molina J. A., Toews D. J., Hendrickson B. T. & Sexton J. P., 2021 - Rules of Plant Species Ranges: Applications for Conservation Strategies. Frontiers in Ecology and Evolution, 9: 700962. <https://doi.org/10.3389/fevo.2021.700962> DOI: https://doi.org/10.3389/fevo.2021.700962
Sillero N. & Barbosa A. M., 2021 - Common Mistakes in Ecological Niche Models. International Journal of Geographical Information Science, 35 (2): 213-226. <https://doi.org/10.1080/13658816.2020.1798968> DOI: https://doi.org/10.1080/13658816.2020.1798968
Simião-Ferreira J., Nogueira D. S., Santos A. C., De Marco P. & Angelini R., 2018 - Multi-Scale Homogenization of Caddisfly Metacomminities in Human-Modified Landscapes. Environmental management, 61: 687-699. <https://doi.org/10.1007/s00267-017-0989-y> DOI: https://doi.org/10.1007/s00267-017-0989-y
Steinbauer M. J., Grytnes J., Jurasinski G., Kulonen A., Lenoir J., Pauli H., Rixen C., Winkler M., Bardy-Durchhalter M., Barni E., et al., 2018 - Accelerated Increase in Plant Species Richness on Mountain Summits Is Linked to Warming. Nature, 556: 231-234. <https://doi.org/10.1038/s41586-018-0005-6> DOI: https://doi.org/10.1038/s41586-018-0005-6
Taleshi H., Jalali S. G., Alavi S. J., Hosseini S. M., Naimi B. & Zimmermann N. E., 2019 - Climate change impacts on the distribution and diversity of major tree species in the temperate forests of Northern Iran. Regional Environmental Change, 19: 2711-2728. <https://doi.org/ 10.1007/s10113-019-01578-5> DOI: https://doi.org/10.1007/s10113-019-01578-5
Tanner E. P., Papeş M., Elmore R. D., Fuhlendorf S. D. & Davis C. A., 2017 - Incorporating Abundance Information and Guiding Variable Selection for Climate-Based Ensemble Forecasting of Species' Distributional Shifts. PLoS One, 12 (9): e0184316. <https://doi.org/10.1371/journal.pone.0184316> DOI: https://doi.org/10.1371/journal.pone.0184316
Van Nuland M. E., Wooliver R. C., Pfennigwerth A. A., Read Q. D., Ware I. M., Mueller L., Fordyce J. A., Schweitzer J. A. & Bailey J. K., 2016 - Plant–Soil Feedbacks: Connecting Ecosystem Ecology and Evolution. Functional Ecology, 30 (7): 1032-1042. <https://doi.org/10.1111/1365-2435.12690> DOI: https://doi.org/10.1111/1365-2435.12690
Veselova E. & Gaziulusoy I., 2021 - When a Tree Is Also a Multispecies Collective, a Photosynthesis Process, and a Carbon Cycle: A systemic typology of natural nonhuman stakeholders when designing for sustainability. In: Proceedings of Relating Systems Thinking and Design (RSD10). Diehl J. C., Tromp N. & Bijil-Brouwer v. d. (eds). 10: 25-35
Vilà‐Cabrera A., Premoli A. C. & Jump A. S., 2019 - Refining Predictions of Population Decline at Species' Rear Edges. Global Change Biology, 25 (5): 1549-1560. <https://doi.org/10.1111/gcb.14597> DOI: https://doi.org/10.1111/gcb.14597
Wang S., Loreau M., Arnoldi J., Fang J., Rahman K. A., Tao S. & de Mazancourt C., 2017 - An Invariability-Area Relationship Sheds New Light on the Spatial Scaling of Ecological Stability. Nature Communications, 8: 15211. <https://doi.org/ 10.1038/ncomms15211> DOI: https://doi.org/10.1038/ncomms15211
Wen Z., Yang Q., Quan Q., Xia L., Ge D. & Lv X., 2016 - Multiscale Partitioning of Small Mammal Β‐Diversity Provides Novel Insights into the Quaternary Faunal History of Qinghai–Tibetan Plateau and Hengduan Mountains. Journal of Biogeography, 43 (7): 1412-1424. <https://doi.org/10.1111/jbi.12706> DOI: https://doi.org/10.1111/jbi.12706
Yu D., Liu Y., Shi P. & Wu J., 2019 - Projecting Impacts of Climate Change on Global Terrestrial Ecoregions. Ecological Indicators, 103: 114-123. <https://doi.org/10.1016/j.ecolind.2019.04.006> DOI: https://doi.org/10.1016/j.ecolind.2019.04.006
Zeraatkar A. & Khajoei Nasab F., 2023 - Mapping the habitat suitability of endemic and sub-endemic almond species in Iran under current and future climate conditions. Environment, Development and Sustainability, 26: 14859-14876. <https://doi.org/ 10.1007/s10668-023-03223-y> DOI: https://doi.org/10.1007/s10668-023-03223-y
Zhong Y., Xue Z., Jiang M., Liu B. & Wang G., 2021 - The Application of Species Distribution Modeling in Wetland Restoration: A Case Study in the Songnen Plain, Northeast China. Ecological Indicators, 121: 107137. <https://doi.org/10.1016/j.ecolind.2020.107137> DOI: https://doi.org/10.1016/j.ecolind.2020.107137
How to Cite
Species Distribution Models in plant conservation science: a comprehensive review with a focus on Iran. (2024). Natural History Sciences. https://doi.org/10.4081/nhs.2024.788
Copyright (c) 2024 the Author(s)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.
Similar Articles
- Francesco Bacci, Enrico Lunghi, The golden jackal Canis aureus L. 1758 (Carnivora: Canidae) on the Tuscan Apennines , Natural History Sciences: Vol. 9 No. 2 (2022)
- Laura Farina, I Crisomelidi (Coleoptera; Chrysomelidae) del Parco di Montevecchia e della Valle del Curone (Italia, Lombardia, provincia di Lecco) [Leaf beetles (Coleoptera Chrysomelidae) from Montevecchia and Curone Valley Natural Park (Italy, Lombardy, Lecco)] , Natural History Sciences: Vol. 2 No. 2 (2015)
- Guido Pedroni, Taxonomic revision of Leiosoma cribrum species group (Coleoptera: Curculionidae: Molytinae) , Natural History Sciences: Vol. 5 No. 1 (2018)
- Giovanni Pasini, Simone Maganuco, Ausonio Ronchi, Subfossil tooth of a dwarf Hippopotamus (Mammalia, Artiodactyla) from the Holocene of the Berivotra ouctrops (Mahajanga Basin, NW Madagascar), with remarks on the distribution of the genus in the island , Natural History Sciences: Vol. 152 No. 1 (2011)
- Roberto Toffoli, Paola Culasso, Andrea G. Locatelli, Luca Giraudo, Bats of Alpi Marittime Nature Park (North West Italy) and Site of Community Importance IT1160056: distribution and status , Natural History Sciences: Vol. 3 No. 1 (2016)
- Fabrizio Buldrini, Matteo Gentilini, Cinzia Bruni, Claudio Santini, Alessandro Alessandrini, Giovanna Bosi, [Vascular spontaneous flora of the town of Modena: analysis of the historic centre] , Natural History Sciences: Vol. 7 No. 1 (2020)
- Roberto Battiston, Carlo Galliani, On the life-cycle of ameles spallanzania (Rossi, 1792) (Insecta, Mantodea) , Natural History Sciences: Vol. 152 No. 1 (2011)
- Gianfranco Liberti, Danilo Mario Piccolino, Contributo alla conoscenza della biodiversità entomologica del Parco del Ticino: Cantharidae (Coleoptera, Elateroidea), Cleridae, Malachiidae e Dasytidae (Coleoptera, Cleroidea) , Natural History Sciences: Vol. 1 No. 2 (2014)
- Giovanni Pasini, Antonio De Angeli, Alessandro Garassino, Calappa praelata Lőrenthey in Lőrenthey & Beurlen, 1929 (Decapoda, Brachyura, Calappidae) from the Middle Miocene of Tresnuraghes (Oristano, Sardegna, Italy) , Natural History Sciences: Vol. 153 No. 1 (2012)
- Nicola M.G. Ardenghi, Paolo Cauzzi, Alien grapes (Vitis, Vitaceae) in Sicily (Italy): novelties for the Sicilian and Mediterranean flora , Natural History Sciences: Vol. 2 No. 2 (2015)
You may also start an advanced similarity search for this article.
