Predictions of species distributions based only on models estimating future climate change are not reliable
Status PubMed-not-MEDLINE Jazyk angličtina Země Velká Británie, Anglie Médium electronic
Typ dokumentu časopisecké články
Grantová podpora
L200872201
PPLZ Program
PubMed
39468261
PubMed Central
PMC11519670
DOI
10.1038/s41598-024-76524-5
PII: 10.1038/s41598-024-76524-5
Knihovny.cz E-zdroje
- Publikační typ
- časopisecké články MeSH
Changes in climate and land use are the most often mentioned factors responsible for the current decline in species diversity. To reduce the effect of these factors, we need reliable predictions of future species distributions. This is usually done by utilizing species distribution models (SDMs) based on expected climate. Here we explore the accuracy of such projections: we use orchid (Orchidaceae) recordings and environmental (mainly climatic) data from the years 1901-1950 in SDMs to predict maps of potential species distributions in 1980-2014. This should enable us to compare the predictions of species distributions in 1980-2014, based on records of species distribution in the years 1901-1950, with real data in the 1980-2014 period. We found that the predictions of the SDMs often differ from reality in this experiment. The results clearly indicate that SDM predictions of future species distributions as a reaction to climate change must be treated with caution.
Department of Evolution and Ecology University of California Davis CA 95616 USA
Global Change Research Institute AS CR Bělidla 986 4a 60300 Brno Czech Republic
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Román-Palacios, C. & Wiens, J. J. Recent responses to climate change reveal the drivers of species extinction and survival. PubMed DOI PMC
Antonelli, A. et al. State of the World’s Plants and Fungi 2023. Royal Botanic Gardens, Kew. 10.34885/wnwn-6s63 (2023).
WWF.
Jaureguiberry, P. et al. The direct drivers of recent global anthropogenic biodiversity loss. PubMed DOI PMC
Newbold, T. et al. Global effects of land use on local terrestrial biodiversity. PubMed DOI
Giam, X., Bradshaw, G. J. A., Tan, H. T. W. & Sodhi, N. J. Future habitat loss and the conservation of plant biodiversity. DOI
Rejmánek, M. Vascular plant extinctions in California: A critical assessment. DOI
Rejmánek, M., Krahulec, F. & Grulich, V. Jak rychle a proč vymírají rostliny v antropocénu.
Moreira, H. et al. Threats of land use to the global diversity of vascular plants. DOI
Sala, O. E. et al. Global biodiversity scenarios for the year 2100. PubMed DOI
Urban, M. C. Accelerating extinction risk from climate change. PubMed DOI
Wiens, J. J. Climate-related local extinctions are already widespread among plant and animal species. PubMed DOI PMC
Warren, R., Price, J., Graham, E., Forstenhaeusler, N. & Vanderwal, J. The projected effect on insects, vertebrates, and plants of limiting global warming to 1.5°C rather than 2°C. PubMed DOI
Pigot, A. L., Merow, C., Wilson, A. & Trisos, C. H. Abrupt expansion of climate change risk for species globally. PubMed DOI
Mancini, G. et al. A standard approach for including climate change responses in IUCN Red List assessments. PubMed
Wiens, J. J. & Zelinka, J. How many species will Earth lose to climate change? PubMed DOI
Stein, B., Glick, P., Edelson, N. & Staudt, A.
Pearson, Prg. Species’ distribution modeling for conservation educators and practitioners.
Tsiftsis, S., Djordjević, V. & Tsiripidis, I. DOI
Suppula, M. et al. Climate and landscape-use change drive population decline in a red-listed plant species. DOI
Nunez, S. & Alkemande, R. Exploring interaction effects from mechanisms between climate and land–use changes and the projected consequences on biodiversity. DOI
Jantz, S. M. et al. Future habitat loss and extinctions driven by land-use change in biodiversity hotspots under four scenarios of climate-change mitigation. PubMed DOI
Mantyka-Pringle, C. S., Martin, T. G. & Rhodes, J. R. Interactions between climate and habitat loss effects on biodiversity: A systematic review and meta-analysis. DOI
Cabral, J. S. et al. The road to integrate climate change projections with regional land-use-biodiversity models. DOI
Oliver, T. H. & Morecroft, M. D. Interactions between climate change and land use change on biodiversity: Attribution problems, risks, and opportunities. DOI
TravisJMJ Climate change and habitat destruction: A deadly anthropogenic cocktail. PubMed DOI PMC
Gallego-Zamorano, J., Huijbregts, N. A. J. & Schipper, A. M. Changes in plant species richness due to land use and nitrogen deposition across the globe. DOI
Štípková, Z., Tsiftsis, S. & Kindlmann, P. How did the agricultural policy during the communist period affect the decline in orchid biodiversity in central and eastern Europe? DOI
Harrison, S. Plant community diversity will decline more than increase under climate warming. PubMed DOI PMC
Miniere, A., von Schuckman, K., Sallée, J-B. & Vogt, L. Robust acceleration of Earth system heating observed over the past six decades. PubMed DOI PMC
Wudu, K., Abegaz, A., Ayele, L. & Ybabe, M. The impact of climate change on biodiversity loss and its remedial using nature-based conservation approach: A global perspective. DOI
Moss, B. et al. Allied attack: Climate change and eutrophication. DOI
Nazari-Sharabian, M., Ahmad, S. & Karakouzian, M. Climate change and eutrophication: A short review. DOI
Wei, Y. Q. et al. Chinese caterpillar fungus ( PubMed DOI PMC
Raza, M. M. & Bebber, D. P. Climate change and plant pathogens. PubMed DOI
Elith, J. & Leathwick, J. The contribution of species distribution modelling to conservation prioritization. In
Pearson, R. G., Raxworthy, C., Nakamura, M. & Peterson, A. Predicting species distributions from small numbers of occurrence records: A test case using cryptic geckos in Madagascar. DOI
Araújo, M. B. et al. Standards for distribution models in biodiversity assessments. PubMed DOI PMC
Djordjević, V., Tsiftsis, S., Lakušić, D., Jovanović, S. & Stevanović, V. Factors affecting the distribution and abundance of orchids in grasslands and herbaceous wetlands. DOI
Štípková, Z. & Kindlmann, P. Factors determining the distribution of orchids—a review with examples from the Czech Republic.
Giannini, T. C. et al. Improving species distribution models using biotic interactions: A case study of parasites, pollinators and plants.
Tsiftsis, S. & Djordjević, V. Modelling sexually deceptive orchid species distributions under future climates: The importance of plant–pollinator interactions. PubMed DOI PMC
Kolanowska, M. The future of a montane orchid species and the impact of climate change on the distribution of its pollinators and magnet species. DOI
Abdelaal, M., Fois, M., Dakhil, M. A., Bacchetta, G. & El-Sherbeny, G. A. Predicting the potential, current and future distribution of the endangered endemic vascular plant PubMed DOI PMC
Zhang, Y., Tang, J., Ren, G., Zhao, K. & Wang, X. Global potential distribution prediction of PubMed DOI PMC
Pinto-Ledezma, J. N. & Cavender-Bares, J. Predicting species distributions and community composition using satellite remote sensing predictors. PubMed DOI PMC
Kougioumoutzis, K. et al. Plant diversity patterns and conservation implications under climate-change scenarios in the Mediterranean: The case of Crete (Aegean, Greece). DOI
Shrestha, B. et al. PubMed DOI PMC
Fedorov, N. et al. Prediction of habitat suitability for PubMed DOI PMC
Evans, A. & Jacquemyn, H. Range size and niche breadth as predictors of climate–induced habitat change in DOI
Araújo, M. B., Alagador, D., Cabeza, M., Nogués-Bravo, D. & Thuiller, W. Climate change threatens European conservation areas. PubMed DOI PMC
Santini, L., Benítez-López, A., Maiorano, L., Čengić, M. & Huijbregts, M. A. J. Assessing the reliability of species distribution projections in climate change research. DOI
Štípková, Z., Tsiftsis, S. & Kindlmann, P. Is the GBIF appropriate for use as input in models predicting species distributions? Study from the Czech Republic. DOI
Swarts, N. D. & Dixon, K. W. Terrestrial orchid conservation in the age of extinction. PubMed DOI PMC
McCormick, M. K. & Jacquemyn, H. What constrains the distribution of orchid populations? DOI
Steffelová, M., Traxmandlová, I., Štípková, Z. & Kindlmann, P. Pollination strategies of deceptive orchids—a review. DOI
Švecová, M., Štípková, Z., Traxmandlová, I. & Kindlmann, P. Difficulties in determining distribution of population sizes within different orchid metapopulations. DOI
Štípková, Z., Tsiftsis, S. & Kindlmann, P. Pollination mechanisms are driving orchid distribution in space. PubMed DOI PMC
Hernandez, P. A., Graham, C. H., Master, L. L. & Albert, D. L. The effect of sample size and species characteristics on performance of different species distribution modelling methods. DOI
David, O. A., Akomolafe, G. F., Onwusiri, K. C. & Fabolude, G. O. Predicting the distribution of the invasive species DOI
Breiman, L. Random forests. DOI
Liaw, A. & Wiener, M. Classification and regression by RandomForest.
Zhang, L. et al. The use of classification and regression algorithms using the random forests method with presence–only data to model species’ distribution. PubMed DOI PMC
Fréjaville, T. & Benito Garzón, M. The EuMedClim database: Yearly climate data (1901–2014) of 1 km resolution grids for Europe and the Mediterranean Basin. DOI
Karger, D. N. et al. Climatologies at high resolution for the earth’s land surface areas. PubMed DOI PMC
Karger, D. N. & Zimmermann, N. E. CHELSAcruts–high resolution temperature and precipitation timeseries for the 20th century and beyond. DOI
Czech Geological Survey. Geological map of the Czech Republic 1:500,000 (GEOCR500). https://micka.geology.cz/en/record/basic/5f5b4530-a87c-4bf3-b45a-57d30a010852 (1998).
Renner, I. W. et al. Point process models for presence-only analysis. DOI
Phillips, S. J. & Dudík, M. Modeling of species distributions with Maxent: New extensions and a comprehensive evaluation. DOI
PhillipsSJ Transferability, sample selection bias and background data in presence-only modeling: A response to Peterson et al. (2007). DOI
Zhang, H., Nettleton, D. & Zhu, Z. Regression-enhanced random forests. arXiv preprint https://arxiv.org/abs/1904.10416. (2019).
Liu, C., Newell, G. & White, M. On the selection of thresholds for predicting species occurrence with presence-only data. PubMed DOI PMC
Warren, D. L., Glor, R. E. & Turelli, M. Environmental niche equivalency versus conservatism: Quantitative approaches to niche evolution. PubMed DOI
Nunes, L. A. & Pearson, R. G. A null biogeographical test for assessing ecological niche evolution. DOI
Martínez-Méndez, N., Mejía, O., Ortega, J. & Méndez-de la Cruz, F. Climatic niche evolution in the viviparous PubMed DOI PMC
Wang, L. et al. Potential distribution shifts of plant species under climate change in Changbai Mountains, China. DOI
Rather, Z. A., Ahmad, R., Dar, A. R., Dar, T. U. & Khuroo, A. A. Predicting shifts in distribution range and niche breadth of plant species in contrasting arid environments under climate change. PubMed DOI
Auld, J., Everingham, S. E., Hemmings, F. A. & Moles, A. T. Alpine plants are on the move: Quantifying distribution shifts of Australian alpine plants through time. DOI
Feng, L. et al. Predicting potential habitat of a plant species with small populations under climate change: DOI
Mahmoodi, S. et al. The current and future potential geographical distribution of DOI
Soilhi, Z., Sayari, N., Benalouache, N. & Mekki, M. Predicting current and future distribution of DOI
Travis, J. M. J. et al. Dispersal and species’ responses to climate change. DOI
Zhu, K., Woodall, C. W. & Clark, J. S. Failure to migrate: lack of tree range expansion in response to climate change. DOI
Mauri, A. et al. EU–Trees4F, a dataset on the future distribution of European tree species. PubMed DOI PMC
Lenoir, J., Gegout, J. C., Marquet, P. A., de Ruffray, P. & Brisse, H. A significant upward shift in plant species optimum elevation during the 20th century. PubMed DOI
Geppert, C. et al. Consistent population declines but idiosyncratic range shifts in Alpine orchids under global change. PubMed DOI PMC
Rasmussen, H.
Arditti, J. & Ghani, A. K. A. Tansley Review 110. Numerical and Physical properties of orchid seeds and their biological implications. PubMed DOI
Průša, D.
Kolanowska, M. et al. Global warming not so harmful for all plants—response of holomycotrophic orchid species for the future climate change. PubMed DOI PMC
Ongaro, S. et al. Distribution pattern of sardinian orchids under a climate change scenario. DOI
Evans, A., Janssens, S. & Jacquemyn, H. Impact of climate change on the distribution of four closely related DOI
Charitonidou, M., Kougioumoutzis, K., Karypidou, M. C. & Halley, J. M. Fly to a Safer North’: Distributional shits of the Orchid PubMed DOI PMC
Benito Garzón, M., Robson, T. M. & Hampe, A. ∆Trait SDMs: species distribution models that account for local adaptation and phenotypic plasticity. PubMed DOI
Pareja–Bonilla, D., Arista, M., Morellato, L. P. C. & Ortiz, P. L. Better soon than never: climate change induces strong phenological reassembly in the flowering of Mediterranean shrub community. PubMed DOI PMC
Hutchings, M. J., Robbirt, K. M., Roberts, D. L. & Davy, A. J. Vulnerability of a specialized pollination mechanism to climate change revealed by a 356-year analysis. DOI
Robbirt, K. M., Roberts, D. L., Hutchings, M. J. & Davy, A. J. Potential disruption of pollination in a sexually deceptive orchid by climate change. PubMed DOI
Charitonidou, M., Kougioumoutzis, K. & Halley, J. M. An Orchid in Retrograde: Climate-driven range shift patterns of PubMed DOI PMC
Zangiabadi, S., Zaremaivan, H., Brotons, L., Mostafavi, H. & Ranjbar, H. Using climatic variables alone overestimate climate change impacts on predicting distribution of an endemic species. PubMed DOI PMC
Engelhardt, E. K., Neuschulz, E. L. & Hof, C. Ignoring biotic interactions overestimates climate change effects: The potential response of the spotted nutcracker to changes in climate and resource plants. DOI
Kougioumoutzis, K. et al. Climate and land-cover change impacts and extinction risk Assessment of rare and threatened endemic taxa of Chlemos-Vouraikos National Park (Peloponnese, Greece). PubMed DOI PMC
Adams, A. E. & Adams, J. S.
Wädekin, K. E.
Veznik, A. & Konecny, O. Agriculture of the Czech Republic after accession to the EU: Regional differentiation.
Does Reproductive Success in Orchids Affect the Evolution of Their Number of Flowers?