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Implications of climate change for environmental niche overlap between five Cuscuta pest species and their two main Leguminosae host crop species

Published online by Cambridge University Press:  22 August 2022

Chaonan Cai
Affiliation:
Lecturer, School of Advanced Study, Taizhou University, Taizhou, Zhejiang, China; Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou, Zhejiang, China
Jianhua Xiao
Affiliation:
Lecturer, Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, JiaYing University, Mei Zhou, Guangdong, China
Jizhong Wan
Affiliation:
Professor, State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, Qinghai, China
Zichun Ren
Affiliation:
Graduate Student, Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou, Zhejiang, China
Mark van Kleunen
Affiliation:
Professor, School of Advanced Study, Taizhou University, Taizhou, Zhejiang, China; Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou, Zhejiang, China; Department of Biology, University of Konstanz, Konstanz, Germany
Junmin Li*
Affiliation:
Professor, School of Advanced Study, Taizhou University, Taizhou, Zhejiang, China; Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou, Zhejiang, China
*
Author for correspondence: Junmin Li, School of Advanced Study, Taizhou University, Taizhou 318000, Zhejiang, China; Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou 318000, Zhejiang, China. (Email: lijmtzc@126.com)

Abstract

Some parasitic plants are major pests in agriculture, but how this might be affected by climate change remains largely unknown. In this study, we assessed this question for five generalist holoparasitic Cuscuta species (smoothseed alfalfa dodder [Cuscuta approximata Bab.], alfalfa dodder [Cuscuta europaea L.], soybean dodder [Cuscuta chinensis C. Wright], Peruvian dodder [Cuscuta australis R. Br.], and Japanese dodder [Cuscuta japonica Choisy]) and two of their main Leguminosae host crop species (soybean [Glycine max (L.) Merr.] and alfalfa [Medicago sativa L.]. For each of the five Cuscuta species and the two crop species, we ran MaxEnt models, using climatic and soil variables to predict their potential current distributions and potential future distributions for 2070. We ran species distribution models for all seven species for multiple climate change scenarios, and tested for changes in the overlap of suitable ranges of each crop with the five parasites. We found that annual mean temperature and isothermality are the main bioclimatic factors determining the suitable habitats of the Cuscuta species and their hosts. For both host species, the marginally to optimally suitable area will increase by 2070 for all four representative concentration pathway scenarios. For most of the Cuscuta species, the marginally to optimally suitable area will also increase. While the suitable areas for both the hosts and the parasites will increase overall, Schoener’s D, indicating the relative overlap in suitable area, will change only marginally. However, the absolute area of potential niche overlap may increase up to 6-fold by 2070. Overall, our results indicate that larger parts of the globe will become suitable for both host species, but that they could also suffer from Cuscuta parasitism in larger parts of their suitable ranges.

Type
Research Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the Weed Science Society of America

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Footnotes

Associate Editor: Bhagirath Chauhan, The University of Queensland

References

Albert, M, Belastegui-Macadam, XM, Bleischwitz, M, Kaldenhoff, R (2008) Cuscuta spp: parasitic plants in the spotlight of plant physiology, economy and ecology. Pages 267277 in Lüttge, U, Beyschlag, W, Murata, J, eds. Progress in Botany. Heidelberg: Springer CrossRefGoogle Scholar
Bouwmeester, H, Sinha, N, Scholes, J (2021) Parasitic plants: physiology, development, signaling, and ecosystem interactions. Plant Physiol 185:12671269 CrossRefGoogle ScholarPubMed
Brambilla, M, Caprio, E, Assandri, G, Scridel, D, Bassi, E, Bionda, R, Celada, C, Falco, R, Bogliani, G, Pedrini, P, Rolando, A, Chamberlain, D (2017) A spatially explicit definition of conservation priorities according to population resistance and resilience, species importance and level of threat in a changing climate. Divers Distrib 23:727738 10.1111/ddi.12572CrossRefGoogle Scholar
Cain, SA (1944) Foundations of Plant Geography. New York: Harper. 556 pGoogle Scholar
Carlson, CJ, Albery, GF, Merow, C, Trisos, CH, Zipfel, CM, Eskew, EA, Olival, KJ, Ross, N, Bansal, S (2022) Climate change increases cross-species viral transmission risk. Nature 607:555562 CrossRefGoogle ScholarPubMed
Chen, IC, Hill, JK, Ohlemuller, R, Roy, DB, Thomas, CD (2011) Rapid range shifts of species associated with high levels of climate warming. Science 333:10241026 CrossRefGoogle ScholarPubMed
Costea, M, Spence, I, Stefanoviæ, S (2011) Systematics of Cuscuta chinensis species complex (subgenus Grammica, Convolvulaceae): evidence for long-distance dispersal and one new species. Org Divers Evol 11:373386 CrossRefGoogle Scholar
Dawson, JH, Musselman, LJ, Wolswinkel, P, Dorr, I (1994) Biology and control of Cuscuta. Rev Weed Sci 6:265317 Google Scholar
Dormann, CF, Elith, J, Bacher, S, Buchmann, C, Carl, G, Carré, G, Marquéz, JRG, Gruber, B, Lafourcade, B, Leitão, PJ, Münkemüller, T, McClean, C, Osborne, PE, Reineking, B, Schröder, B, et al. (2013) Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography 36:2746 CrossRefGoogle Scholar
Du, JJ, Chen, ZW (2010) Method of path analysis with SPSS linear regression. Bull Biol 45:46 Google Scholar
Efron, B (1979) Bootstrap method: another look at the jackknife. Ann Stat 7:126 CrossRefGoogle Scholar
Evangelista, PH, Kumar, S, Stohlgren, TJ, Young, NE (2011) Assessing forest vulnerability and the potential distribution of pine beetles under current and future climate scenarios in the interior west of the US. For Ecol Manag 262:307316 CrossRefGoogle Scholar
Flora of China Editorial Committee (1995) Flora of China. Beijing: Science Press. Pp 322325 Google Scholar
Gomes, LC, Bianchi, FJJA, Cardoso, IM, Fernandes, RBA, Filho, EI, Schulte, RPO (2020) Agroforestry systems can mitigate the impacts of climate change on coffee production: a spatially explicit assessment in Brazil. Agric Ecosyst Environ 294:106858 CrossRefGoogle Scholar
Guan, JY, Li, MY, Ju, XF, Lin, J, Wu, JG, Zheng, JH (2021) The potential habitat of desert locusts is contracting: predictions under climate change scenarios. PeerJ 9:e12311 CrossRefGoogle ScholarPubMed
Gwendolyn, P (2022) What does the future hold for páramo plants? A modelling approach. Front Ecol Evol 10:896387 Google Scholar
Hershey, DR (1999) Myco-heterophytes & parasitic plants in food chains. Am Biol Teach 61:575578 CrossRefGoogle Scholar
IPCC, Stocker, TF, Qin, D, Plattner, GK, Midgley, PM (2013) Climate Change 2013—The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press Google Scholar
Jayasinghe, SL, Kumar, L (2019) Modeling the climate suitability of tea [Camellia sinensis (L.) O. Kuntze] in Sri Lanka in response to current and future climate change scenarios. Agric For Meteorol 272–273:102117 CrossRefGoogle Scholar
Jiao, SW, Zeng, Q, Sun, GQ, Lei, GC (2016) Improving conservation of cranes by modeling potential wintering distributions in China. J Resour Ecol 7:4450 Google Scholar
John, W, Christian, A, Mikiko, K, Jiang, K, Nakicenovic, N, Shukla, PR, La, RE, Gary, Y (2009) Report of 26 versus 29 Watts/m2 RCPP Evaluation Panel. Geneva: IPCC Secretariat. Pp 1–80Google Scholar
Johnson, LA, White, PJ, Galloway, R (2008) Soybeans Chemistry, Production Processing and Utilization. Urbana, IL: United Soybean Board/AOCS Press. 842 pGoogle Scholar
Kelly, CK, Venable, DL, Zimmerer, K (1988) Host Specialization in Cuscuta costaricensis: an assessment of host use relative to host availability. Oikos 53:315320 CrossRefGoogle Scholar
Legault, A, Theuerkauf, J, Chartendrault, V, Rouys, S, Saoumoé, M, Verfaille, L, Gula, R (2013) Using ecological niche models to infer the distribution and population size of parakeets in New Caledonia. Biol Conserv 167:149160 CrossRefGoogle Scholar
Li, SX, Hu, F, Kong, CH, Tan, ZW (2007) Eco-physiological characteristics response of different soybean (Glycine max L.) cultivars to dodder (Cuscuta chinensis) parasitizing. Acta Ecol Sin 27:27482755 Google Scholar
Lira-Noriega, A, Peterson, AT (2014) Range-wide ecological niche comparisons of parasite, hosts and dispersers in a vector-borne plant parasite system. J Biogeogr 41:16641673 CrossRefGoogle Scholar
Liu, J, Yang, Y, Wei, HY, Zhang, QZ, Zhang, XH, Zhang, XY, Gu, W (2019) Assessing habitat suitability of parasitic plant Cistanche deserticola in northwest China under future climate scenarios. Forests 10:823 CrossRefGoogle Scholar
Ma, B, Sun, J (2018) Predicting the distribution of Stipa purpurea across the Tibetan Plateau via the MaxEnt model. BMC Ecol 18:10 CrossRefGoogle ScholarPubMed
Marvier, MA (1996) Parasitic plant-host interactions: plant performance and indirect effects on parasite-feeding herbivores. Ecology 77:13981409 CrossRefGoogle Scholar
Merow, C, Smith, MJ, Silander, JA (2013) A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter. Ecography 36:10581069 10.1111/j.1600-0587.2013.07872.xCrossRefGoogle Scholar
Moss, R, Babiker, M, Brinkman, S, Calvo, E, Carter, T, Edmonds, J, Elgizouli, I, Emori, S, Erda, L, Hibbard, K, Jones, R, Kainuma, M, Kelleher, J, Lamarque, JF, Manning, M, et al. (2008) Towards New Scenarios for Analysis of Emissions, Climate Change, Impacts, and Response Strategies. Geneva: Intergovernmental Panel on Climate Change. 132 pGoogle Scholar
Nickrent, D (2020) Parasitic angiosperms: how often and how many? Taxon 69:527 10.1002/tax.12195CrossRefGoogle Scholar
Oteros, J, Garcia-Mozo, H, Vazquez, L, Mestre, A, Dominguez-Vilches, E, Galan, C (2013) Modelling olive phenological response to weather and topography. Agric Ecosyst Environ 179:6268 CrossRefGoogle Scholar
Pennings, SC, Callaway, RM (2002) Parasitic plants: parallels and contrasts with herbivores. Oecologia 131:479489 CrossRefGoogle ScholarPubMed
Phillips, SJ, Anderson, RP, Dudík, M, Schapire, RE, Blair, ME (2017) Opening the black box: an open-source release of Maxent. Ecography 40:887893 CrossRefGoogle Scholar
Phillips, SJ, Anderson, RP, Schapire, RE (2006) Maximum entropy modeling of species geographic distributions. Ecol Model 190:231259 10.1016/j.ecolmodel.2005.03.026CrossRefGoogle Scholar
Phillips, SJ, Dudík, M (2008) Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31:161175 CrossRefGoogle Scholar
Press, MC, Phoenix, GK (2010) Impacts of parasitic plants on natural communities. New Phytol 166:737751 CrossRefGoogle Scholar
Pyšek, P, Pergl, J, Essl, F, Lenzner, B, Dawson, W, Kreft, H, Weigelt, P, Winter, M, Kartesz, J, Nishino, M, Antonova, LA, Barcelona, JF, Cabesaz, FJ, Cárdenas, D, Cárdenas-Toro, J, et al. (2017) Naturalized alien flora of the world: species diversity, taxonomic and phylogenetic patterns, geographic distribution and global hotspots of plant invasion. Preslia 89:203274 CrossRefGoogle Scholar
Qin, A, Liu, B, Guo, Q, Bussmann, RW, Ma, F, Jian, Z, Xu, G, Pei, S (2017) Maxent modeling for predicting impacts of climate change on the potential distribution of Thuja sutchuenensis Franch., an extremely endangered conifer from southwestern China. Global Ecol Conserv 10:139146 CrossRefGoogle Scholar
Radosavljevic, A, Anderson, RP (2013) Making better Maxent models of species distributions: complexity, overfitting and evaluation. J Biogeogr 41:629643 CrossRefGoogle Scholar
Ren, ZC, Zagorchev, L, Ma, JX, Yan, M, Li, JM (2020) Predicting the potential distribution of the parasitic Cuscuta chinensis under global warming. BMC Ecol 20:28 CrossRefGoogle ScholarPubMed
Schoener, TW (1968) The Anolis lizards of Bimini: resource partitioning in a complex fauna. Ecology 49:704726 CrossRefGoogle Scholar
Speed, JDM, Austrheim, G, Hester, AJ, Mysterud, A (2011) Browsing interacts with climate to determine tree-ring increment. Funct Ecol 25:10181023 CrossRefGoogle Scholar
Sun, Y, Shi, MC, Peng, H, Zhu, PL, Liu, SL, Wu, SL, He, C, Chen, F (2014) Forest lighting fire forecasting for Daxing’anling Mountains based on Maxent model. Chinese J Appl Ecol 25:11001106 Google ScholarPubMed
Swets, JA (1988) Measuring the accuracy of diagnostic systems. Science 240:12851293 CrossRefGoogle ScholarPubMed
Tang, CQ, Dong, YF, Herrando-Moraira, S, Matsui, T, Ohashi, H, He, LY, Nakao, K, Tanaka, N, Tomita, M, Li, XS, Yan, HZ, Peng, MC, Hu, J, Yang, RH, Li, WJ, et al. (2017) Potential effects of climate change on geographic distribution of the Tertiary relict tree species Davidia involucrata in China. Sci Rep 7:43822 CrossRefGoogle ScholarPubMed
Tang, CQ, Ohashi, H, Matsui, T, Herrando-Moraira, S, Dong, YF, Li, SF, Han, PB, Huang, DS, Shen, LQ, Li, YF, López-Pujol, J (2020) Effects of climate change on the potential distribution of the threatened relict Dipentodon sinicus of subtropical forests in East Asia: recommendations for management and conservation. Global Ecol Conserv 23:e01192 CrossRefGoogle Scholar
Tepe, I, Celebi, SZ, Kaya, I, Ozkan, RY (2017) Control of smoothseed alfalfa dodder (Cuscuta approximata Bab.) in alfalfa (Medicago sativa L.). Int J Agric Biol 19:199203 CrossRefGoogle Scholar
Teixeira-Costa, L, Davis, CC (2021) Life history, diversity, and distribution in parasitic flowering plants. Plant Physiol 187:3251 CrossRefGoogle ScholarPubMed
Thuiller, W (2007) Biodiversity: climate change and the ecologist. Nature 448:550552 CrossRefGoogle ScholarPubMed
Truscott, FH (1966) Some aspects of morphogenesis in Cuscuta gronovii . Am J Bot 53:739750 CrossRefGoogle Scholar
Velazco, SJE, Svenning, JC, Ribeiro, BR, Laureto, LMO (2021) On opportunities and threats to conserve the phylogenetic diversity of neotropical palms. Divers Distrib 27:512523 CrossRefGoogle Scholar
Walther, GR, Post, E, Convey, P, Menzel, A, Parmesan, C, Beebee, TJC, Fromentin, J, Hoegh-Guldberg, O, Bairlein, F (2002) Ecological responses to recent climate change. Nature 416:389395 CrossRefGoogle ScholarPubMed
Wan, JZ, Wang, CJ (2019) Determining key monitoring areas for the 10 most important weed species under a changing climate. Sci Total Environ 683:568577 CrossRefGoogle Scholar
Wan, JZ, Wang, CJ, Han, SJ, Yu, JH (2014) Planning the priority protected areas of endangered orchid species in northeastern China. Biodivers Conserv 23:13951409 CrossRefGoogle Scholar
Wang, CJ, Wan, JZ (2020) Assessing the habitat suitability of 10 serious weed species in global croplands. Global Ecol Conserv 23:e01142 CrossRefGoogle Scholar
Wang, D, Cui, BC, Duan, SS, Chen, JJ, Fan, H, Lu, BB, Zheng, JH (2019) Moving north in China: the habitat of Pedicularis kansuensis in the context of climate change. Sci Total Environ 697:133979 CrossRefGoogle ScholarPubMed
Wang, X, Li, ZP, Sun, JJ, Feng, CS, Li, SY (2014) Progress of alfalfa breeding in China. Pratacultural Science 31:512518 Google Scholar
Warren, DL, Glor, RE, Turelli, M (2008) Environmental niche equivalency versus conservatism: quantitative approaches to niche evolution. Evolution 62:28682883 CrossRefGoogle ScholarPubMed
Warren, DL, Glor, RE, Turelli, M (2010) ENMTools: a toolbox for comparative studies of environmental niche models Ecography 33:607611 Google Scholar
Yang, XQ, Kushwaha, SPS, Saran, S, Xu, JC, Roy, PS (2013) Maxent modeling for predicting the potential distribution of medicinal plant, Justicia adhatoda L. in lesser Himalayan foothills. Ecol Eng 51:8387 CrossRefGoogle Scholar
Yergin-Ozkan, R, Tepe, I (2018) Emergence characteristics and germination physiology of smoothseed alfalfa dodder (Cuscuta approximate Bab.). Fresenius Environ Bull 27:104109 Google Scholar
Yi, YJ, Cheng, X, Yang, ZF, Zhang, SH (2016) Maxent modeling for predicting the potential distribution of endangered medicinal plant (H riparia Lour.) in Yunnan, China. Ecol Eng 92:260269 CrossRefGoogle Scholar
Yun, S, Lee, JW, Yoo, JC (2020) Host-parasite interaction augments climate change effect in an avian brood parasite, the lesser cuckoo Cuculus poliocephalus . Global Ecol Conserv 22:e00976 CrossRefGoogle Scholar
Zhang, C, Chen, L, Tian, CM, Li, T, Wang, R, Yang, QQ (2016) Predicting the distribution of dwarf mistletoe (Arceuthobium sichuanense) with GARP and MaxEnt models. J Beijing For Univ 38:2332 Google Scholar
Zhang, YX, Wang, DL, Wang, YB, Dong, HR, Yuan, YG, Yang, W, Lai, DW, Zhang, MC, Jiang, LJ, Li, ZH (2020) Parasitic plant dodder (Cuscuta spp.): a new natural Agrobacterium-to-plant horizontal gene transfer species. Sci China Life Sci 63:312316 CrossRefGoogle ScholarPubMed
Zou, Y, Ge, XZ, Guo, SW, Zhou, YT, Wang, T, Zong, SX (2020) Impacts of climate change and host plant availability on the global distribution of Brontispa longissima (Coleoptera: Chrysomelidae). Pest Manag Sci 76:244256 CrossRefGoogle Scholar
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