Journal of Climate Research

Journal of Climate Research

Modeling the impacts of climate change on geographic distribution of the genus Trametes

Document Type : Original Article

Authors
1 Department of Biotechnology, Iranian Research Organization for Science and Technology (IROST), Tehran, Iran
2 Department of Biotechnology, Iranian Research Organization for Science and Technology (IROST), Tehran, Iran.
Abstract
Introduction

Evidence for the negative impacts of climate change on biodiversity is mounting, showing that climate change is one of the greatest threats to global biodiversity (Chen et al., 2011; Dubey and Shine,2011; Hannah, 2015; Terribile et al., 2018; Archis et al., 2018). Climatechange can affect the diversity and composition of species within bothterrestrial and aquatic ecosystems (Diaz et al., 2003; Dijkstra et al., 2011; Ruiz-Labourdette et al., 2013;Hannah, 2015; Liu et al., 2018). It is predicted that some species will become more dominant while others will decline or disappear (Hannah, 2015). While the negative impact of climate change is well documented on some taxonomic groups like vertebrates and plants species (Hannah, 2015) little is known about the negative impacts of climate change on fungi and macro fungi(Shrestha et al., 2014; Burgess et al., 2017; Gao et al., 2019; Hao et al.,2020).

Macro fungi are important components of ecosystems and play important roles in nutrient cycling, decomposition, symbiosis, and food sources for many animals and humans. However, climate change can have negative impacts on macro fungi, such as altering their distribution and diversity thus, it is necessary to investigate potential impacts of climate change on them (Cao et al., 2021). Recent studies have shown that climate change will have negative impacts on Iran’s biodiversity (Yousefi et al., 2019).  However, little is known about the potential impacts of climate change on the diverse taxonomic groups in the country particularly macro fungi (Yousefi et al., 2019). Thus, the aim of this study is to predict the impact of climate change on distribution of the genus Trametes in north of Iran. 

Materials and methods

Distribution records of the genus Trametes were collected during our fieldwork from 2000 to 2022 in Iran. Current and future climate data (Annual Mean Temperature (Bio1), Mean Diurnal Range (Mean of monthly (max temp - min temp)) (Bio2), Isothermality (Bio3), Temperature Seasonality (Standard Deviation) (Bio4), Annual Precipitation (Bio12), Precipitation of Driest Month (Bio14), Precipitation Seasonality (Coefficient of Variation) (Bio15)) were obtained from CHELSA high resolution climatologies version 2.1 (Kargeret al., 2017). For future climate we considered following five CMIP6 (the Coupled Model Intercomparison Project Phase 6) Global Circulation Models (GCMs): GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MR-ESM2-0, UKESM1-0-LL.

We applied an ensemble approach, using four distribution modeling methods (Generalized Linear Models (McCullagh & Nelder 1989), Generalized Additive Models (Hastie & Tibshirani 1990), Maximum Entropy Modelling (Phillips et al. 2006) and Random Forest (Breiman 2001)) to predict the impacts of climate change on distribution pattern of the genus. We also identified the most important climatic predictor of the genus distribution (Phillips et al. 2006). In this study AUC and TSS were used to assess the performance of the model.

Results & Discussion

According to the AUC and TSS the model performed well (AUC=0.942 and TSS=0.811). The model showed that under current climate the genus has 36,456km2 suitable habitats but the genus suitable habitats will decrease to 14,749 km2. We found that the genus will lose 60% of its suitable habitat under the climate change (2070 SSP585). Our results are in line with previous studies that have shown that fungi species will lose their suitable habitats under future climate change. For instance, Gua et al. (2017) have shown that Tricholoma matsutake will lose considerable proportions of its suitable habitat due to climate change. However, it is predicted that some species like Ophiocordyceps sinensis will expand their range under the changing climate (Shrestha and Bawa, 2014). Results also showed that precipitation of driest month and precipitation seasonality are the most important predictors of the genus distribution. These findings are also in line with previous studies that have identified temperature and precipitation of driest and warmest months as the most important determinants of fungi species distribution (Yuan et al.,2015; Yuan et al., 2019).

Conclusion

Iran is a biodiversity rich country in Asia hosting high diversity of macro fungi (Ghobad-Nejhad et al., 2020). In this study for the first time, we predicted the negative impacts of climate change on macro fungi in Iran. We believe that the stable suitable habitats identified in this study for the genus Trametes have high priority for conservation of the genus in Iran under the changing climate.

Keywords : Distribution pattern, Ensemble modeling, Conservation, Trametes
Keywords

1.    Alkhalifah, D.H.M.; Damra, E.; Khalaf, S.M.H.; Hozzein, W.N. (2022). Biogeography of Black Mold Aspergillus niger: Global Situation and Future Perspective under Several Climate Change Scenarios Using MaxEnt Modeling. Diversity, 14, 845.
2.    Almadrones-Reyes, Kj., Dagamac NHA. (2018). Predicting local habitat suitability in changing climate scenarios: Applying species distribution modelling for Diderma hemisphaericum. Current Research in Environmental & Applied Mycology, 8, 492–500.
3.    Andrew, C., Büntgen U., Egli S., Senn-Irlet B., J.-A. Grytnes, J. Heilmann-Clausen, L. Boddy, C. Bässler, A. C. Gange, E. Heegaard, K. Høiland, P. M. Kirk, I. Krisai-Greilhüber, Kuyper, T.W., Kauserud, H. (2019). Open-source data reveal how collections-based fungal diversity is sensitive to global change. Applications in Plant Sciences, 7, e1227.
4.    Antonelli, A., Fry, C., Smith, R. J., Simmonds, M. S. J., Kersey, P. J., Pritchard, H. W., et al. (2020). State of the World’s Plants and Fungi 2020. Kew: Royal Botanic Gardens. doi: 10.34885/172.
5.    Archis, JN., Akcali, C., Stuart, BL., Kikuchi, D., Chunco, AJ. (2018). Is the future already here? The impact of climate change on the distribution of the eastern coral snake (Micrurus fulvius) PeerJ, 6, e4647.
6.    Avalos, V.d.R., Hernández, J. (2015). Projected distribution shifts and protected area coverage of range-restricted Andean birds under climate change. Global Ecology and Conservation, 4, 459-469. 
7.    Behroozian, M., Ejtehadi, H., Peterson, AT., Memariani, F., Mesdaghi, M. (2020). Climate change influences on the potential distribution of Dianthus polylepis Bien. ex Boiss. (Caryophyllaceae), an endemic species in the Irano-Turanian region. PLoS ONE, 15, e0237527.
8.    Burgess, T.I., Scott, J.K., Mcdougall, K.L., Stukely, M.J.C., Crane, C., Dunstan, W.A., Brigg, F., Andjic, V., White, D., Rudman, T., Arentz, F., Ota, N., Hardy, G.E.S.J., 2017. Current and projected global distribution of Phytophthora cinnamomi, one of the world’s worst plant pathogens. Global Change Biology, 23, 1661e1674.
9.    Butchart S.H. M., M. Walpole, B. Collen, A. van Strien, P. W. Scharlemann Jörn, E. A. Almond Rosamunde, E. M. Baillie Jonathan, B. Bomhard, C. Brown, J. Bruno, E. Carpenter Kent, M. Carr Geneviève, J. Chanson, M. Chenery Anna, J. Csirke, C. Davidson Nick, F. Dentener, M. Foster, A. Galli, N. Galloway James, P. Genovesi, D. Gregory Richard, M. Hockings, V. Kapos, J.-F. Lamarque, F. Leverington, J. Loh, A. McGeoch Melodie, L. McRae, A. Minasyan, H. Morcillo Monica, E. E. Oldfield Thomasina, D. Pauly, S. Quader, C. Revenga, R. Sauer John, B. Skolnik, D. Spear, D. Stanwell-Smith, N. Stuart Simon, A. Symes, M. Tierney, D. Tyrrell Tristan, J.-C. Vié and R. Watson (2010). Global Biodiversity: Indicators of Recent Declines. Science, 328, 1164-1168. 
10.    Cao, Y., Wu, G., Yu, D. (2021). Include macrofungi in biodiversity targets. Science, 372, 1160.
11.    Chen, I.-C., Hill, J.K., Ohlemüller, R., Roy, D.B., Thomas, C.D. (2011). Rapid range shifts of species associated with high levels of climate warming. Science, 333, 1024-1026.
12.    Dagamac, N. H. A., B. Bauer, J. Woyzichovski, O. N. Shchepin, Y. K. Novozhilov YK, Schnittler M. (2021). Where do nivicolous myxomycetes occur? – Modeling the potential worldwide distribution of Physarum albescens. Fungal Ecology, 53, 101079.
13.    Darvishsefat A (2008) Atlas of protected areas of Iran. Department of Environment, Tehran.
14.    Diaz, HF., Grosjean, M., Graumlich, L. (2003). Climate variability and change in high elevation regions: past, present and future. Climatic Change, 59, 1-4.
15.    Dirzo, R., S. Young Hillary, M. Galetti, G. Ceballos, J. B. Isaac Nick and B. Collen (2014). Defaunation in the Anthropocene. Science, 345, 401-406.
16.    Dubey, S., Shine, R. (2011). Predicting the effects of climate change on reproductive fitness of an endangered montane lizard, Eulamprus leuraensis (Scincidae). Climatic Change, 107, 531–547.
17.    Elsen Paul, R., Monahan William, B., Dougherty Eric, R. and Merenlender Adina, M. (2020). Keeping pace with climate change in global terrestrial protected areas. Science Advances, 6, eaay0814.
18.    Erfanian, M.B., Sagharyan, M., Memariani, F. (2021). Predicting range shifts of three endangered endemic plants of the Khorassan-Kopet Dagh floristic province under global change. Scientific Reports, 11, 9159.
19.    Freeman, B.G., Scholer, M.N., Ruiz-Gutierrez, V., Fitzpatrick, J.W. (2018). Climate change causes upslope shifts and mountaintop extirpations in a tropical bird community. Proceedings of the National Academy of Sciences, 115, 11982-11987.
20.    Ghobad-Nejhad, M., E. Langer, V. Antonín, G. Gates, J. Noroozi and Zare, R. (2020). The gilled fungi and boletes of Iran: diversity, systematics, and nrDNA data. Mycologia Iranica, 7, 1-43.
21.    Ghobad-Nejhad, M.,and Bernicchia A.(2019). An outlook on the diversity of polypores shared between Iran and the Mediterranean area. Mycologia Iranica, 6, 33-39.
22.    Ghobad-Nejhad, M., and Hallenberg, N. (2012). Checklist of Iranian non-gilled/non-gasteroid hymenomycetes (Agaricomycotina). Mycotaxon, 119, 494
23.    Gonçalves, S.C., Haelewaters D., Furci G., Mueller, G.M. (2021). Include all fungi in biodiversity goals. Science, 373, 403.
24.    Guisan, A. (1997). Distribution of plant species in an alpine landscape: application of statistical modelling in a geo- graphical information system. Doctoral Dissertation, University of Geneva.
25.    Guisan, A., Thuiller, W., & Zimmermann, NE. (2017). Habitat suitability and distribution models: with applications in R. Cambridge University Press.
26.    Guo, Y., X. Li, Z. Zhao and Z. Nawaz (2019). Predicting the impacts of climate change, soils and vegetation types on the geographic distribution of Polyporus umbellatus in China. Science of The Total Environment, 648, 1-11.
27.    Guo, Y., X. Li, Z. Zhao, H. Wei, Gao, B., Gu, W. (2017). Prediction of the potential geographic distribution of the ectomycorrhizal mushroom Tricholoma matsutake under multiple climate change scenarios. Scientific Reports, 7, 46221.
28.    Hannah, L. (2015). Climate Change Biology, London: Academic, 2nd ed.
29.    Hao, T., G. Guillera-Arroita, T. W. May, J. J. Lahoz-Monfort and J. Elith (2020). Using Species Distribution Models for fungi. Fungal Biology Reviews, 34, 74-88.
30.    Hawksworth, D. L., Lücking R. (2017). Fungal Diversity Revisited: 2.2 to 3.8 million Species. Microbiol Spectr, 5(4).
31.    Hobbs, C. (2004). Medicinal value of turkey tail fungus Trametes versicolor (L.: Fr.) Pilát (Aphyllophoromycetideae). A literature reviews. International Journal of Medicinal Mushrooms, 6(3).
32.    Hu, W., J. Du, S. Su, H. Tan, W. Yang, L. Ding, P. Dong, W. Yu, X. Zheng and B. Chen (2022). Effects of climate change in the seas of China: Predicted changes in the distribution of fish species and diversity. Ecological Indicators, 134, 108489.
33.    Hughes, A.C. (2017). Understanding the drivers of Southeast Asian biodiversity loss. Ecosphere, 8, e01624.
34.    IPBES (2018). Summary for policymakers of the regional assessment report on biodiversity and ecosystem services for Asia and the Pacific of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. M. Karki, S. Senaratna Sellamuttu, S. Okayasu, W. Suzuki, L. A. Acosta, Y. Alhafedh, J. A. Anticamara, A. G. Ausseil, K. Davies A. Gasparatos, H. Gundimeda, I. Faridah-Hanum, R. Kohsaka, R. Kumar, S. Managi, N. Wu, A. Rajvanshi, G. S. Rawat, P. Riordan, S. Sharma, A. Virk, C. Wang, T. Yahara and Y. C. Youn (eds.). IPBES secretariat, Bonn, Germany. 41 pages.
35.    Karger, D.N., Conrad, O., Bohner, J., (2017). Climatologies at high resolution for the earth land surface areas. Scientific Data, 4, 170122.
36.    Lourenço-de-Moraes, R., Lansac-Toha, F.M., Schwind, L.T.F. (2019). Climate change will decrease the range size of snake species under negligible protection in the Brazilian Atlantic Forest hotspot. Scientific Reports, 9, 8523. 
37.    Naimi, B. and Araújo, M.B. (2016). sdm: a reproducible and extensible R platform for species distribution modelling. Ecography, 39, 368-375.
38.    Naimi, B. (2015). Uncertainty analysis for species distribution models. R package version 1.1-15.
39.    Newbold, T., L. N. Hudson, S. L. L. Hill, S. Contu, I. Lysenko, R. A. Senior, L. Börger, D. J. Bennett, A. Choimes, B. Collen, J. Day, A. De Palma, S. Díaz, S. Echeverria-Londoño, M. J. Edgar, A. Feldman, M. Garon, M. L. K. Harrison, T. Alhusseini, D. J. Ingram, Y. Itescu, J. Kattge, V. Kemp, L. Kirkpatrick, M. Kleyer, D. L. P. Correia, C. D. Martin, S. Meiri, M. Novosolov, Y. Pan, H. R. P. Phillips, D. W. Purves, A. Robinson, J. Simpson, S. L. Tuck, E. Weiher, H. J. White, R. M. Ewers, G. M. Mace, J. P. W. Scharlemann and A. Purvis (2015). Global effects of land use on local terrestrial biodiversity. Nature, 520, 45-50.
40.    Penman, T.D., Pike, D.A., Webb, J.K., Shine, R. (2010). Predicting the impact of climate change on Australia’s most endangered snake, Hoplocephalus bungaroides. Diversity and Distributions, 16, 109-118.
41.    Phillips, SJ., & Dudík, MM. (2008). Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography, 31, 161-175. 
42.    Phillips, SJ., Anderson, R., Schapire, RE. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190, 231-259. 
43.    Quinn, G.P., Keough, M.J. (2002). Experimental designs and data analysis for biologists. Cambridge University Press; Cambridge, UK.
44.    Ryvarden L, Gilbertson RL. European polypores: Part 2: Meripilus-Tyromyces. Fungiflora A/S; 1994.
45.    Ryvarden L., Melo I. 2014. Poroid fungi of Europe. Fungiflora A/C, Oslo, Norway.
46.    Shrestha, U.B., Bawa, K.S., (2014). Impact of climate change on potential distribution of Chinese caterpillar fungus (Ophiocordyceps sinensis) in Nepal Himalaya. PloS One, 9.
47.    Torii, M., Masuya H., Hattori, T. (2021). Temperature Characteristics of Two Fomitiporia Fungi Determine Their Geographical Distributions in Japan. Forests, 12, DOI: 10.3390/f12111580.
48.    Warren, D.L., Glor, R.E., & Turelli, M. (2010). ENMTools: a toolbox for comparative studies of environmental niche models. Ecography, 33, 607-611.
49.    Yousefi, M., Kafash, A., Valizadegan, N., Sheykhi Ilanloo, S., Rajabizadeh, M., Malekoutikhah, S., Ashrafi, S. (2019). Climate change is a major problem for biodiversity conservation: A systematic review of recent studies in Iran. Contemporary Problems of Ecology, 12, 394-403.
50.    Yuan, H., Wei, Y., Zhou, L., Qin, W., Cui, B., He, S., Yuan, H.S. (2019). Potential distribution and ecological niches of four butt-rot pathogenic fungi in Northeast China. Biodiversity Science, 27, 873-879.
51.    Yuan, H.-S., Wei Y.-L. Wang, X.-G. (2015). Maxent modeling for predicting the potential distribution of Sanghuang, an important group of medicinal fungi in China. Fungal, 17, 140-145.
52.    Zhou, L.-W., M. Ghobad-Nejhad, X.-M. Tian, Wang, Y.-F., Wu, F. (2022). Current Status of ‘Sanghuang’ as a Group of Medicinal Mushrooms and Their Perspective in Industry Development. Food Reviews International, 38, 589-607.
53.    Zohary M. (1973). Geobotanical foundations of the Middle East. Vols. 1–2. Fischer, Stuttgart.