气候变化对文冠果适宜生境及空间迁移的影响

张殷波, 刘彦岚, 张晓龙, 秦浩, 王光玉, 王伟

中国环境科学 ›› 2020, Vol. 40 ›› Issue (10) : 4597-4606.

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中国环境科学 ›› 2020, Vol. 40 ›› Issue (10) : 4597-4606.
环境生态

气候变化对文冠果适宜生境及空间迁移的影响

  • 张殷波1,2, 刘彦岚3, 张晓龙1, 秦浩4, 王光玉2, 王伟5
作者信息 +

Impacts of climate change on the suitable habitats and spatial migration of Xanthoceras sorbifolia

  • ZHANG Yin-bo1,2, LIU Yan-lan3, ZHANG Xiao-long1, QIN Hao4, WANG Guang-yu2, WANG Wei5
Author information +
文章历史 +

摘要

以文冠果当前地理分布数据为基础,采用物种分布模型(SDM)预测未来气候变化条件下的物种适宜生境及其空间迁移趋势,进而识别可能引起迁移的气候异常因子.结果表明:在当前气候条件下,文冠果适宜生境集中于甘肃东部、宁夏南部、陕西中北部、山西中部及南部,以及青海东部边缘、内蒙-陕西边界区域、河南北部和河北西北部边缘等地区;在气候变化条件下,文冠果适宜生境呈现出整体分布格局基本不变的基础上高适宜生境略有缩减且向东迁移的趋势,不同气候变化情景下的生境丧失率为3.73%~16.6%;在未来极端气候变化情景下,文冠果空间迁移格局绝大部分适宜生境仍为恒有稳定区,迁出丧失区主要集中在适宜生境的西北部和东南部且呈连续分布,迁入新增区仅零散分布于适宜生境的边缘地带,包括内蒙与陕西交界处、山西北部等地;采用多元环境相似度面(MESS)和最不相似变量(MOD)空间分析识别出气候异常区主要位于当前适宜生境的南北边缘,与空间迁移格局相一致.可能引起空间迁移的气候异常因子主要为年平均温度、降水量变异系数和年均降水量.空间迁移区域作为气候变化的高敏感区应予以重视,同时应针对不同的空间迁移区域制定合理有效的资源利用和土地管理策略.

Abstract

Based on the current geographical distribution data of Xanthoceras sorbifolia, we used species distribution modeling (SDM) to predict suitable habitats and spatial migration trends under the future climate scenarios, and identify climatic factors that may cause migration. Under the current climatic conditions, the suitable habitats of Xanthoceras sorbifolia were concentrated in the eastern Gansu, southern Ningxia, north-central Shaanxi, central and southern Shanxi, as well as the eastern edge of Qinghai, the border region of Inner Mongolia-Shaanxi, northern edge of Henan and northwest edge of Hebei. Under the future conditions of climate change, the suitable habitats will remain unchanged, however the highly suitable habitats will trend to decrease and eastward slightly, and the habitat loss rates are 3.73%~16.6% under different climate change scenarios. Under the extreme climate change scenarios, spatial migration patterns of Xanthoceras sorbifolia showed that the most suitable habitats were still persist area, in addition, the emigrant areas were mainly concentrated in the northwest and southeast of suitable habitats and present continuous distribution, while immigrant areas were only scattered in the marginal areas of suitable habitats, including the junction of Inner Mongolia and Shaanxi, northern Shanxi and other regions. Finally, based on the spatial analysis of the multivariate environmental similarity surface (MESS) and the most dissimilar variable (MoD), it was identified that the areas of climate anomaly were mainly located at the northern and southern edge of the currently habitats, which was consistent with the spatial migration patterns. The factors of main climate anomalies which may cause spatial migration were annual average temperature, seasonal precipitation and annual precipitation. The spatial migration areas considered as highly sensitive regions of climate change should be paid more attention. At the same time, reasonable and effective resource utilization and land management strategies should be developed for different spatial migration areas.

关键词

空间迁移 / 气候变化 / 生境丧失率 / 文冠果 / 物种分布模型

Key words

Xanthoceras sorbifolia / climate change / habitat loss rate / spatial migration / species distribution modeling

引用本文

导出引用
张殷波, 刘彦岚, 张晓龙, 秦浩, 王光玉, 王伟. 气候变化对文冠果适宜生境及空间迁移的影响[J]. 中国环境科学. 2020, 40(10): 4597-4606
ZHANG Yin-bo, LIU Yan-lan, ZHANG Xiao-long, QIN Hao, WANG Guang-yu, WANG Wei. Impacts of climate change on the suitable habitats and spatial migration of Xanthoceras sorbifolia[J]. China Environmental Science. 2020, 40(10): 4597-4606
中图分类号: X171.1   

参考文献

[1] Parmesan C, Yohe G. A globally coherent fingerprint of climate change impacts across natural systems[J]. Nature, 2003,421:37-42.
[2] Bellard C, Bertelsmeier C, Leadley P, et al. Impacts of climate change on the future of biodiversity[J]. Ecology Letters, 2012,15:365-377.
[3] Walther G R, Berger S, Sykes M T. An ecological "footprint" of climate change[J]. Proceedings of the Royal Society, 2005,272(1571):1427-1432.
[4] Colwell R K, Brehm G, Cardelús C L, et al. Global warming, elevational range shifts, and lowland biotic attrition in the wet tropics[J]. Science, 2008,322:258-261.
[5] Alsos I G, Ehrich D, Thuiller W, et al. Genetic consequences of climate change for northern plants[J]. Proceedings of the Royal Society B:Biological Sciences, 2012,279(1735):2042-2051.
[6] Burrows M T, Schoeman D S, Richardson A J, et al. Geographical limits to species-range shifts are suggested by climate velocity[J]. Nature, 2014,507:492-495.
[7] Lucht W, Schaphoff S, Erbrecht T, et al. Terrestrial vegetation redistribution and carbon balance under climate change[J]. Carbon Balance & Management, 2006,1(1):6-6.
[8] Aníbal P, Milbau A, Albihn A, et al. Non-native and native organisms moving into high elevation and high latitude ecosystems in an era of climate change:new challenges for ecology and conservation[J]. Biological Invasions, 2016,18(2):345-353.
[9] Phillips S J, Anderson R P, Schapire R E. Maximum entropy modeling of species geographic distributions[J]. Ecological Modelling, 2006, 190(3/4):231-259.
[10] Merow C, Smith M J, Silander J A. A practical guide to Maxent for modeling species' distributions:what it does, and why inputs and settings matter[J]. Ecography, 2013,36:1058-1069.
[11] Falk W, Mellert K H. Species distribution models as a tool for forest management planning under climate change:Risk evaluation of Abies alba in Bavaria[J]. Journal of Vegetation Science, 2011,22(4):621-634.
[12] 白雪红,王文杰,蒋卫国,等.气候变化背景下京津冀地区濒危水鸟潜在适宜区模拟及保护空缺分析[J]. 环境科学研究, 2019,32(6):1001-1011. Bai X H, Wang W J, Jiang W G, et al. Simulation of potential suitable distribution of endangered waterfowl and its gap analysis of national nature reserves in Beijing-Tianjin-Hebei region under climate change scenarios[J]. Research of Environmental Sciences, 2019,32(6):1001-1011.
[13] 刘慧明,高吉喜,宋创业,等.紫花含笑适宜生境的保护空缺与人类干扰分析[J]. 中国环境科学, 2019,39(9):3976-3981. Liu H M, Gao J X, Song C Y, et al. Conservation status and human disturbance of the habitats of Michelia crassipes Law in China[J]. China Environmental Science, 2019,39(9):3976-3981.
[14] 高文强,王小菲,江泽平,等.气候变化下栓皮栎潜在地理分布格局及其主导气候因子[J]. 生态学报, 2016,36(14):4475-4484. Gao W Q, Wang X F, Jiang Z P, et al. Impact of climate change on the potential geographical distribution pattern and dominant climatic factors of Quercus variabilis[J]. Acta Ecologica Sinica, 2016,36(14):4475-4484.
[15] 郭彦龙,卫海燕,路春燕,等.气候变化下桃儿七潜在地理分布的预测[J]. 植物生态学报, 2014,38(3):249-261. Guo Y L, Wei H Y, Lu C Y, et al. Predictions of potential geographical distribution of Sinopodophyllum hexandrum under climate change[J]. Chinese Journal of Plant Ecology, 2014,38(3):249-261.
[16] 张殷波,刘彦岚,秦浩,等.气候变化条件下山西翅果油树适宜分布区的空间迁移预测[J]. 应用生态学报, 2019,30(2):140-146. Zhang Y B, Liu Y L, Qin H, et al. Prediction on spatial migration of suitable distribution of Elaeagnus mollis under climate change conditions in Shanxi Province, China[J]. Chinese Journal of Applied Ecology, 2019,30(2):140-146.
[17] 万群芳,何景峰,张文辉.文冠果地理分布和生物生态学特征[J]. 西北农业学报, 2010,19(9):179-185. Wan Q F, He J F, Zhang W H. Distribution and bio-ecological characteristics of Xanthoceras sorbifolia[J]. Acta Agriculturae Boreali-Occidentalis Sinica, 2010,19(9):179-185.
[18] Yu H, Fan S, Bi Q, et al. Seed morphology, oil content and fatty acid composition variability assessment in yellow horn (Xanthoceras sorbifolium Bunge) germplasm for optimum biodiesel production[J]. Industrial Crops and Products, 2017,97:425-430.
[19] 牟洪香.木本能源植物文冠果(Xanthoceras sorbifolia Bunge)的调查与研究[D]. 北京:中国林业科学研究院, 2006. Mou H X. Investigation and research on woody energy plant Xanthoceras sorbifolia Bunge[D]. Beijing:Chinese Academy of Forestry, 2006.
[20] 朱仁斌.中国特有植物文冠果(Xanthoceras sorbifolium Bunge)的谱系地理研究与应用[D]. 杨凌:西北农林科技大学, 2016. Zhu R B. Phylogeography of Xanthoceras sorbifolia Bunge an endemic plant to China[D]. Yangling:Northwest A & F University, 2016.
[21] 刘淑明,孙丙寅,贺安乾,等.西部地区文冠果种群种子特征及主要化学成分的地理变化[J]. 林业科学, 2012,48(4):43-48. Liu S M, Sun B Y, He A Q, et al. Geographical change of seed characteristic and the main chemical composition of Xanthoceras sorbifolia population in the west of China[J]. Scientia Silvae Sinicae, 2012,48(4):43-48.
[22] Chi T Y, Wang L H, Ji X F, et al. Protective effect of xanthoceraside against β-amyloid-induced neurotoxicity in neuroblastoma SH-SY5Y cells[J]. Journal of Asian Natural Products Research, 2013,15(9):1013-1022.
[23] Zhang Y, Ma J N, Ma C L, et al. Simultaneous quantification of ten constituents of Xanthoceras sorbifolia Bunge using UHPLC-MS methods and evaluation of their radical scavenging, DNA scission protective, and α-glucosidase inhibitory activities[J]. Chinese Journal of Natural Medicines, 2015,13(11):873-880.
[24] 贺晓慧,宁小莉,郭彦龙,等.我国文冠果分布的气候地理特征及未来气候情景下适宜种植区预测[J]. 农业现代化研究, 2019,40(2):316-324. He X H, Ning X L, Guo Y L, et al. Geographical distribution of Xanthoceras sorbifolia Bunge in China and predicting suitable area under the climate change scenario[J]. Research of Agricultural Modernization, 2019,40(2):316-324.
[25] Moss R H, Edmonds J A, Hibbard K A, et al. The next generation of scenarios for climate change research and assessment[J]. Nature, 2010,463(7282):747-756.
[26] Graham M H. Confronting multicollinearity in ecological multiple regression. Ecology, 2003,84(11):2809-2815.
[27] Oney B, Björn R, O'Neill G, et al. Intraspecific variation buffers projected climate change impacts on Pinus contorta[J]. Ecology and Evolution, 2013,3(2):437-449.
[28] 张殷波,刘彦岚,秦浩,等.气候变化条件下山西翅果油树适宜分布区的空间迁移预测[J]. 应用生态学报, 2019,30(2):140-146. Zhang Y B, Liu Y L, Qing H, et al. Prediction on spatial migration of suitable distribution of Elaeagnus mollis under climate change conditions in Shanxi Province, China[J]. Chinese Journal of Applied Ecology, 2019,30(2):140-146.
[29] Elith J, Kearney M R, Phillips S. The art of modelling range-shifting species[J]. Methods in Ecology and Evolution, 2010,1(4):330-342.
[30] 李垚,张兴旺,方炎明.小叶栎分布格局对末次盛冰期以来气候变化的响应[J]. 植物生态学报, 2016,40(11):1164-1178. Li Y, Zhang X W, Fang Y M. Responses of the distribution pattern of Quercus chenii to climate change following the Last Glacial Maximum[J]. Chinese Journal of Plant Ecology, 2016,40(11):1164-1178.
[31] 许仲林,彭焕华,彭守璋.物种分布模型的发展及评价方法[J]. 生态学报, 2015,35(2):557-567. Xu Z L, Peng H H, Peng S Z. The development and evaluation of species distribution models[J]. Acta Ecologica Sinica, 2015,35(2):557-567.
[32] Bradie J, Leung B. A quantitative synthesis of the importance of variables used in MaxEnt species distribution models[J]. Journal of Biogeography, 2017,44:1344-1361.
[33] Bocedi G, Atkins K E, Liao J, et al. Effects of local adaptation and interspecific competitionon species' responses to climate change[J]. Annals of the New York Academy of Sciences, 2013,1297:83-97.
[34] Mateo R G, Mokany K, Guisan A. Biodiversity models:what if unsaturation is the rule?[J]. Trends in Ecology & Evolution, 2017, 32:556-566.
[35] 刘彦岚.中国特有植物文冠果的潜在地理格局变迁及其对气候变化的响应[D]. 太原:山西大学, 2019. Liu Y L. The change of potential geographical pattern and the response to climate change for Xanthoceras sorbifolium, an endemic plant to China[D]. Taiyuan:Shanxi University, 2019.

基金

山西省回国留学人员科研资助项目(2017-022);国家重点研发计划(2016YFC0503304);国家留学基金资助项目(201908140014)

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