Climatic Change Can Influence Species Diversity Patterns and Potential Habitats of Salicaceae Plants in China

Forests - Tập 10 Số 3 - Trang 220
Wenqing Li1, Mingming Shi1, Yuan Huang2, KaiYun Chen1, Hang Sun1, Jiahui Chen1
1CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, Yunnan, China
2School of Life Sciences, Yunnan Normal University, Kunming 650092, Yunnan, China

Tóm tắt

Salicaceae is a family of temperate woody plants in the Northern Hemisphere that are highly valued, both ecologically and economically. China contains the highest species diversity of these plants. Despite their widespread human use, how the species diversity patterns of Salicaceae plants formed remains mostly unknown, and these may be significantly affected by global climate warming. Using past, present, and future environmental data and 2673 georeferenced specimen records, we first simulated the dynamic changes in suitable habitats and population structures of Salicaceae. Based on this, we next identified those areas at high risk of habitat loss and population declines under different climate change scenarios/years. We also mapped the patterns of species diversity by constructing niche models for 215 Salicaceae species, and assessed the driving factors affecting their current diversity patterns. The niche models showed Salicaceae family underwent extensive population expansion during the Last Inter Glacial period but retreated to lower latitudes during and since the period of the Last Glacial Maximum. Looking ahead, as climate warming intensifies, suitable habitats will shift to higher latitudes and those at lower latitudes will become less abundant. Finally, the western regions of China harbor the greatest endemism and species diversity of Salicaceae, which are significantly influenced by annual precipitation and mean temperature, ultraviolet-B (UV-B) radiation, and the anomaly of precipitation seasonality. From these results, we infer water–energy dynamic equilibrium and historical climate change are both the main factors likely regulating contemporary species diversity and distribution patterns. Nevertheless, this work also suggests that other, possibly interacting, factors (ambient energy, disturbance history, soil condition) influence the large-scale pattern of Salicaceae species diversity in China, making a simple explanation for it unlikely. Because Southwest China likely served as a refuge for Salicaceae species during the Last Glacial Maximum, it is a current hotspot for endemisms. Under predicted climate change, Salicaceae plants may well face higher risks to their persistence in southwest China, so efforts to support their in-situ conservation there are urgently needed.

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Tài liệu tham khảo

Hong, 2000, Large–scale processes and the asian bias in species diversity of temperate plants, Nature, 407, 180, 10.1038/35025052

Buckley, 2010, Phylogeny, niche conservatism and the latitudinal diversity gradient in mammals, Proc. R. Soc., 277, 2131

Brown, 2014, Why are there so many species in the tropics?, J. Biogeogr., 41, 8, 10.1111/jbi.12228

Beck, 2012, What’s on the horizon for macroecology?, Ecography, 35, 673, 10.1111/j.1600-0587.2012.07364.x

Hawkins, 2004, Invited views in basic and applied ecology: Are we making progress toward understanding the global diversity gradient?, Basic Appl. Ecol., 5, 1, 10.1078/1439-1791-00214

Brown, 2004, Toward a metabolic theory of ecology, Ecology, 85, 1771, 10.1890/03-9000

Colwell, 2004, The mid-domain effect and species richness patterns: What have we learned so far?, Am. Nat., 163, E1, 10.1086/382056

Joy, 2012, The global diversity of birds in space and time, Nature, 491, 444, 10.1038/nature11631

Jansson, 2008, Global variation in diversification rates of flowering plants: Energy vs. Climate change, Ecol. Lett., 11, 173, 10.1111/j.1461-0248.2007.01138.x

Mittelbach, 2007, Evolution and the latitudinal diversity gradient: Speciation, extinction and biogeography, Ecol. Lett., 10, 315, 10.1111/j.1461-0248.2007.01020.x

Levsen, 2012, Pleistocene speciation in the genus populus (salicaceae), Syst. Biol., 61, 401, 10.1093/sysbio/syr120

Lee, C.B., and Chun, J.H. (2016). Retracted article: Habitat heterogeneity and climate explain plant diversity patterns along an extensive environmental gradient in the temperate forests of south korea. Folia Geobot., 1.

Veloz, 2012, No–analog climates and shifting realized niches during the late quaternary: Implications for 21st–century predictions by species distribution models, Glob. Chang. Biol., 18, 1698, 10.1111/j.1365-2486.2011.02635.x

Currie, 1991, Energy and large-scale patterns of animal and plant–species richness, Am. Nat., 137, 27, 10.1086/285144

Latham, 1993, Global patterns of tree species richness in moist forests: Energy-diversity theory does not account for variation in species richness, Oikos, 67, 325, 10.2307/3545479

Xu, 2010, Different growth sensitivity to enhanced uv-b radiation between male and female populus cathayana, Tree Physiol., 30, 1489, 10.1093/treephys/tpq094

Clarke, 2006, Climate, energy and diversity, Proc. R. Soc., 273, 2257

Qin, 2017, Patterns of species and phylogenetic diversity of pinus tabuliformis forests in the eastern loess plateau, china, For. Ecol. Manag., 394, 42, 10.1016/j.foreco.2017.03.030

Thuiller, 2011, Consequences of climate change on the tree of life in europe, Nature, 470, 531, 10.1038/nature09705

Pio, 2014, Climate change effects on animal and plant phylogenetic diversity in southern africa, Glob. Chang. Biol., 20, 1538, 10.1111/gcb.12524

Hultine, 2013, Gender specific patterns of carbon uptake and water use in a dominant riparian tree species exposed to a warming climate, Glob. Chang. Biol., 19, 3390, 10.1111/gcb.12230

Pollock, 2016, Phylogenetic approaches reveal biodiversity threats under climate change, Nat. Clim. Chang., 6, 1110, 10.1038/nclimate3126

Bellard, 2012, Impacts of climate change on the future of biodiversity, Ecol. Lett., 15, 365, 10.1111/j.1461-0248.2011.01736.x

Stocker, 2013, IPCC, 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, Comput. Geom., 18, 95

Parmesan, 2006, Ecological and evolutionary responses to recent climate change, Annu. Rev. Ecol. Evol. Syst., 37, 637, 10.1146/annurev.ecolsys.37.091305.110100

Forbes, 2011, Shrub expansion in tundra ecosystems: Dynamics, impacts and research priorities, Environ. Res. Lett., 6, 045509, 10.1088/1748-9326/6/4/045509

Jones, 1999, Sex- and habitat-specific responses of a high arctic willow, salix arctica, to experimental climate change, Oikos, 87, 129, 10.2307/3547004

Fang, 1999, Salicaceae, Flora China, 4, 139

Zhao, 1987, Distribution of willows (salix) in china, Acta Phytotaxon. Sin., 25, 114

Karp, 2008, Bioenergy from plants and the sustainable yield challenge, New Phytol., 179, 15, 10.1111/j.1469-8137.2008.02432.x

Chen, 2010, Molecular phylogeny of salix l. (salicaceae) inferred from three chloroplast datasets and its systematic implications, Taxon, 59, 29, 10.1002/tax.591004

Wang, 2017, Historical factors shaped species diversity and composition of salix in eastern asia, Sci. Rep., 7, 42038, 10.1038/srep42038

Warren, 2012, In defense of ‘niche modeling’, Trends Ecol. Evol., 27, 497, 10.1016/j.tree.2012.03.010

Peterson, 2011, Ecological niches and geographic distribution, Monogr. Popul. Biol., 49, 328

Chen, F.T. (2015). Phylogeography of Rehmannia (Scrophulariaceae), Northwest University.

Wang, 2015, Research on distribution pattern of subg. Salvia benth. (lamiaceae), an important group of medicinal plants in east asia, Acta Ecol. Sin., 5, 470

Beck, 2014, Spatial bias in the gbif database and its effect on modeling species’ geographic distributions, Ecol. Inform., 19, 10, 10.1016/j.ecoinf.2013.11.002

Fourcade, Y., Engler, J.O., Rödder, D., and Secondi, J. (2014). Mapping species distributions with maxent using a geographically biased sample of presence data: A performance assessment of methods for correcting sampling bias. PLoS ONE, 9.

Zhang, 2016, Using species distribution modeling to delineate the botanical richness patterns and phytogeographical regions of china, Sci. Rep., 6, 22400, 10.1038/srep22400

Pearson, 2007, Original article: Predicting species distributions from small numbers of occurrence records: A test case using cryptic geckos in madagascar, J. Biogeogr., 34, 102, 10.1111/j.1365-2699.2006.01594.x

Stevens, 1989, The latitudinal gradient in geographical range: How so many species coexist in the tropics, Am. Nat., 133, 240, 10.1086/284913

Yan, 2013, Patterns of species diversity and phylogenetic structure of vascular plants on the qinghai-tibetan plateau, Ecol. Evol., 3, 4584, 10.1002/ece3.847

Nybakken, 2012, Combined enhancements of temperature and uvb influence growth and phenolics in clones of the sexually dimorphic salix myrsinifolia, Physiol. Plant., 145, 551, 10.1111/j.1399-3054.2011.01565.x

Randriamanana, 2015, Long-term uv-b and temperature enhancements suggest that females of salix myrsinifolia plants are more tolerant to uv-b than males, Environ. Exp. Bot., 109, 296, 10.1016/j.envexpbot.2014.06.007

Feng, 2014, Sexual differences in defensive and protective mechanisms of populus cathayana exposed to high uv-b radiation and low soil nutrient status, Physiol. Plant., 151, 434, 10.1111/ppl.12126

Hageer, 2017, Climate, soil or both? Which variables are better predictors of the distributions of australian shrub species?, PeerJ, 5, e3446, 10.7717/peerj.3446

Chen, 2015, Sexual competition and n supply interactively affect the dimorphism and competiveness of opposite sexes in populus cathayana, Plant Cell Environ., 38, 1285, 10.1111/pce.12477

Moor, 2015, Predicting climate change effects on wetland ecosystem services using species distribution modeling and plant functional traits, Ambio, 44, S113, 10.1007/s13280-014-0593-9

Fitzpatrick, 2013, Maxent versus maxlike: Empirical comparisons with ant species distributions, Ecosphere, 4, art55, 10.1890/ES13-00066.1

Guisan, 2005, Predicting species distribution: Offering more than simple habitat models, Ecol. Lett., 8, 993, 10.1111/j.1461-0248.2005.00792.x

Phillips, 2006, Maximum entropy modeling of species geographic distributions, Ecol. Model., 190, 231, 10.1016/j.ecolmodel.2005.03.026

Bertrand, 2012, Disregarding the edaphic dimension in species distribution models leads to the omission of crucial spatial information under climate change: The case of quercus pubescensin france, Glob. Chang. Biol., 18, 2648, 10.1111/j.1365-2486.2012.02679.x

Peterson, 2012, Uses and misuses of bioclimatic envelope modeling, Ecology, 93, 1527, 10.1890/11-1930.1

Raes, 2007, A null-model for significance testing of presence-only species distribution models, Ecography, 30, 727, 10.1111/j.2007.0906-7590.05041.x

Radosavljevic, 2014, Making better maxent models of species distributions: Complexity, overfitting and evaluation, J. Biogeogr., 41, 629, 10.1111/jbi.12227

Elith, 2010, A statistical explanation of maxent for ecologists, Divers. Distrib., 17, 43, 10.1111/j.1472-4642.2010.00725.x

Merow, 2013, A practical guide to maxent for modeling species’ distributions: What it does, and why inputs and settings matter, Ecography, 36, 1058, 10.1111/j.1600-0587.2013.07872.x

Lobo, 2007, Threshold criteria for conversion of probability of species presence to either–or presence–absence, Acta Oecol., 31, 361, 10.1016/j.actao.2007.02.001

Liu, 2005, Selecting thresholds of occurrence in the prediction of species distributions, Ecography, 28, 385, 10.1111/j.0906-7590.2005.03957.x

Crisp, 2001, Endemism in the australian flora, J. Biogeogr., 28, 183, 10.1046/j.1365-2699.2001.00524.x

Brown, 2014, Sdmtoolbox: A python–based gis toolkit for landscape genetic, biogeographic and species distribution model analyses, Methods Ecol. Evol., 5, 694, 10.1111/2041-210X.12200

Brown, 2017, Sdmtoolbox 2.0: The next generation python-based gis toolkit for landscape genetic, biogeographic and species distribution model analyses, PeerJ, 5, e4095, 10.7717/peerj.4095

Bini, 2003, Spatial autocorrelation and red herrings in geographical ecology, Glob. Ecol. Biogeogr., 12, 53, 10.1046/j.1466-822X.2003.00322.x

Dutilleul, 1993, Modifying the t test for assessing the correlation between two spatial processes, Biometrics, 49, 305, 10.2307/2532625

Clifford, 1989, Assessing the significance of the correlation between two spatial processes, Biometrics, 45, 123, 10.2307/2532039

Karrenberg, 2002, The life history of salicaceae living in the active zone of floodplains, Freshw. Biol., 47, 733, 10.1046/j.1365-2427.2002.00894.x

Chao, 1998, On the classification and distribution of the family salicaceae, J. Sichuan For. Sci. Technol., 9, 10

Jiang, 2003, Last glacial maximum over china: Sensitivities of climate to paleovegetation and tibetan ice sheet, J. Geophys. Res., 108, 4102

Fan, 2018, Strong population bottleneck and repeated demographic expansions of populus adenopoda (salicaceae) in subtropical china, Ann. Bot., 121, 665, 10.1093/aob/mcx198

Barnosky, 2011, Has the earth’s sixth mass extinction already arrived?, Nature, 471, 51, 10.1038/nature09678

Wu, J., Nyman, T., Wang, D.C., Argus, G.W., Yang, Y.P., and Chen, J.H. (2015). Phylogeny of salix subgenus salix s.L. (salicaceae): Delimitation, biogeography, and reticulate evolution. BMC Evol. Biol., 15.

Qiu, 2011, Plant molecular phylogeography in china and adjacent regions: Tracing the genetic imprints of quaternary climate and environmental change in the world’s most diverse temperate flora, Mol. Phylogenet. Evol., 59, 225, 10.1016/j.ympev.2011.01.012

Patricola, 2013, Impact of atlantic sst and high frequency atmospheric variability on the 1993 and 2008 midwest floods: Regional climate model simulations of extreme climate events, Clim. Chang., 129, 397, 10.1007/s10584-013-0886-1

Kodra, 2011, Persisting cold extremes under 21st-century warming scenarios, Geophys. Res. Lett., 38, 16, 10.1029/2011GL047103

Planton, 2008, Expected impacts of climate change on extreme climate events, C. R. Geosci., 340, 564, 10.1016/j.crte.2008.07.009

Khanum, 2013, Predicting impacts of climate change on medicinal asclepiads of pakistan using maxent modeling, Acta Oecol., 49, 23, 10.1016/j.actao.2013.02.007

Leng, 2008, Response of larch species to climate changes, Plant Ecol., 1, 203, 10.1093/jpe/rtn013

Ying, 2016, Simulation of the potential range of pistacia weinmannifolia in southwest china with climate change based on the maximum-entropy(maxent) model, Biodivers. Sci., 24, 453, 10.17520/biods.2015246

Guo, 2014, Predictions of potential geographical distribution of sinopodophyllum hexandrum under climate change, Chin. J. Plant Ecol., 38, 249, 10.3724/SP.J.1258.2014.00022

Cheaib, 2012, Climate change impacts on tree ranges: Model intercomparison facilitates understanding and quantification of uncertainty, Ecol. Lett., 15, 533, 10.1111/j.1461-0248.2012.01764.x

Xu, 2001, A study of the impacts of climate change on the geographic distribution of pinus koraiensis in china, Environ. Int., 27, 201, 10.1016/S0160-4120(01)00083-6

Argus, 1986, The genus salix (salicaceae) in the southeastern united states, Syst. Bot. Monogr., 9, 1, 10.2307/25027618

Bertrand, 2011, Changes in plant community composition lag behind climate warming in lowland forests, Nature, 479, 517, 10.1038/nature10548

Frei, 2010, Plant species’ range shifts in mountainous areas—All uphill from here?, Bot. Helv., 120, 117, 10.1007/s00035-010-0076-y

Walther, 2005, Trends in the upward shift of alpine plants, J. Veg. Sci., 16, 541, 10.1111/j.1654-1103.2005.tb02394.x

Bai, 2018, Distributional dynamics of a vulnerable species in response to past and future climate change: A window for conservation prospects, PeerJ, 6, e4287, 10.7717/peerj.4287

Wang, 2016, Climate change may threaten habitat suitability of threatened plant species within chinese nature reserves, PeerJ, 4, e2091, 10.7717/peerj.2091

Puga, 2016, Climate change and its impact on environmental aptitude and geographical distribution of salvia hispanica l. In mexico, Interciencia, 41, 407

Hu, X.G., Jin, Y., Wang, X.R., Mao, J.F., and Li, Y. (2015). Predicting impacts of future climate change on the distribution of the widespread conifer platycladus orientalis. PLoS ONE, 10.

Garcia, 2013, Predicting geographic distribution and habitat suitability due to climate change of selected threatened forest tree species in the philippines, Appl. Geogr., 44, 12, 10.1016/j.apgeog.2013.07.005

Bomhard, 2005, Potential impacts of future land use and climate change on the red list status of the proteaceae in the cape floristic region, south africa, Glob. Chang. Biol., 11, 1452, 10.1111/j.1365-2486.2005.00997.x

Midgley, 2003, Developing regional and species-level assessments of climate change impacts on biodiversity in the cape floristic region, Biol. Conserv., 112, 87, 10.1016/S0006-3207(02)00414-7

Fischer, 2007, Landscape modification and habitat fragmentation: A synthesis, Glob. Ecol. Biogeogr., 16, 265, 10.1111/j.1466-8238.2007.00287.x

Basile, 2016, Patchiness of forest landscape can predict species distribution better than abundance: The case of a forest-dwelling passerine, the short-toed treecreeper, in central italy, PeerJ, 4, e2398, 10.7717/peerj.2398

Wang, 2011, Patterns, determinants and models of woody plant diversity in china, Proc. R. Soc., 278, 2122

Collinson, 1992, The early fossil history of salicaceae: A brief review, Proc. R. Soc., 98, 155

Allen, 2006, Kinetic effects of temperature on rates of genetic divergence and speciation, Proc. Natl. Acad. Sci. USA, 103, 9130, 10.1073/pnas.0603587103

Xu, 2010, Global warming induces female cuttings of populus cathayana to allocate more biomass, c and n to aboveground organs than do male cuttings, Aust. J. Bot., 58, 519, 10.1071/BT10108

Chen, 2010, Sex-related adaptive responses to interaction of drought and salinity in populus yunnanensis, Plant Cell Environ., 33, 1767, 10.1111/j.1365-3040.2010.02182.x

Xu, 2008, Drought inhibits photosynthetic capacity more in females than in males of populus cathayana, Tree Physiol., 28, 1751, 10.1093/treephys/28.11.1751

Taylor, 1990, Paleobiogeographic relationships of angiosperms from the cretaceous and early tertiary of the north american area, Bot. Rev., 56, 279, 10.1007/BF02995927

Ding, 1995, Origin, divergence and geographical distribution of salicaceae, Acta Bot. Yunnanica, 17, 277

1993, Climatic gradients in woody plant species richness: Towards an explanation based on an analysis of southern africa’s woody flora, J. Biogeogr., 20, 181, 10.2307/2845670

1998, Water–energy dynamics, climate, and prediction of woody plant species richness: An interim general model, J. Biogeogr., 25, 379, 10.1046/j.1365-2699.1998.252166.x

Evans, 2005, Species–energy relationships at the macroecological scale: A review of the mechanisms, Biol. Rev., 80, 1, 10.1017/S1464793104006517

Bai, 2008, Primary production and rain use efficiency across a precipitation gradient on the mongolia plateau, Ecology, 89, 2140, 10.1890/07-0992.1

Whittaker, 2006, Geographical gradients of species richness: A test of the water-energy conjecture of hawkins et al. (2003) using european data for five taxa, Glob. Ecol. Biogeogr., 16, 76, 10.1111/j.1466-8238.2006.00268.x

Zhang, 2010, Comparative physiological, ultrastructural and proteomic analyses reveal sexual differences in the responses of populus cathayana under drought stress, Proteomics, 10, 2661, 10.1002/pmic.200900650

Lei, 2017, Contrasting responses in the growth and energy utilization properties of sympatric populus and salix to different altitudes: Implications for sexual dimorphism in salicaceae, Physiol. Plant., 159, 30, 10.1111/ppl.12479

Teramura, 2010, Effects of ultraviolet-b radiation on the growth and yield of crop plants, Physiol. Plant., 58, 415, 10.1111/j.1399-3054.1983.tb04203.x

Keiller, 2001, Effects of long-term exposure to elevated uv-b radiation on the photosynthetic performance of five broad-leaved tree species, Photosynth. Res., 67, 229, 10.1023/A:1010620228989

Song, 2017, Sex-related responses to environmental changes in salicaceae, Mt. Res., 35, 645

Liu, 2013, Effects of enhanced uv-b radiation on seed growth characteristics and yield components in soybean, Field Crops Res., 154, 158, 10.1016/j.fcr.2013.08.006

Svenning, 2005, The relative roles of environment and history as controls of tree species composition and richness in europe, J. Biogeogr., 32, 1019, 10.1111/j.1365-2699.2005.01219.x

Raes, 2009, Botanical richness and endemicity patterns of borneo derived from species distribution models, Ecography, 32, 180, 10.1111/j.1600-0587.2009.05800.x

Stropp, 2009, Disentangling regional and local tree diversity in the amazon, Ecography, 32, 46, 10.1111/j.1600-0587.2009.05811.x

Berthel, 2012, Impact of holocene climate changes on alpine and treeline vegetation at sanetsch pass, bernese alps, switzerland, Rev. Palaeobot. Palynol., 174, 91, 10.1016/j.revpalbo.2011.12.007

Singh, S., Kumar, P., and Rai, A. (2006). Ultraviolet radiation stress: Molecular and physiological adaptations in trees. Abiotic Stress Tolerance in Plants, Springer.

Osprey, 2016, An unexpected disruption of the atmospheric quasi-biennial oscillation, Science, 353, 1424, 10.1126/science.aah4156

Dhomse, 2015, Revisiting the hemispheric asymmetry in midlatitude ozone changes following the mount pinatubo eruption: A 3-d model study, Geophys. Res. Lett., 42, 3038, 10.1002/2015GL063052

Dhomse, 2016, On the ambiguous nature of the 11-year solar cycle signal in upper stratospheric ozone: Solar signal in upper stratosphere, Geophys. Res. Lett., 43, 7241, 10.1002/2016GL069958

Caldwell, 1980, A steep latitudinal gradient of solar ultraviolet-b radiation in the arctic-alpine life zone, Ecology, 61, 600, 10.2307/1937426