Citation: | Chen Meilin, Han Hairong. Response of four common tree species suitable areas to climate change in the Loess Plateau region of northern China[J]. Journal of Beijing Forestry University, 2023, 45(3): 21-33. DOI: 10.12171/j.1000-1522.20220138 |
[1] |
Qin H, Dong G, Zhang Y, et al. Patterns of species and phylogenetic diversity of Pinus tabuliformis forests in the eastern Loess Plateau, China[J]. Forest Ecology and Management, 2017, 394: 42−51. doi: 10.1016/j.foreco.2017.03.030
|
[2] |
Nadine B, Christoph S, Willy T. Impact of holocene climate changes on alpine and treeline vegetation at Sanetsch Pass, Bernese Alps, Switzerland[J]. Review of Palaeobotany and Palynology, 2012, 174: 91−100. doi: 10.1016/j.revpalbo.2011.12.007
|
[3] |
Wang S, Meng F, Duan J, et al. Asymmetric sensitivity of first flowering date to warming and cooling in alpine plants[J]. Ecology, 2014, 95: 3387−3398. doi: 10.1890/13-2235.1
|
[4] |
Dorji T, Totland O, Moe S R, et al. Plant functional traits mediate reproductive phenology and success in response to experimental warming and snow addition in Tibet[J]. Global Change Biology, 2013, 19: 459−472. doi: 10.1111/gcb.12059
|
[5] |
Intergovernmental Panel on Climate Change. Fifth assessment report (AR5)[EB/OL]. (2013−06−07)[2018−07−08]. http://www.ipcc.ch/assessment-report/ar5/.
|
[6] |
张雪娇, 高贤明, 吉成均, 等. 中国北方5种栎属树木多度分布及其对未来气候变化的响应[J]. 植物生态学报, 2019, 43(9): 774−782. doi: 10.17521/cjpe.2018.0249
Zhang X J, Gao X M, Ji C J, et al. Response of abundance distribution of five species of Quercus to climate change in northern China[J]. Chinese Journal of Plant Ecology, 2019, 43(9): 774−782. doi: 10.17521/cjpe.2018.0249
|
[7] |
段义忠, 王海涛, 王驰, 等. 气候变化下濒危植物半日花在中国的潜在分布[J]. 植物资源与环境学报, 2020, 29(2): 55−68. doi: 10.3969/j.issn.1674-7895.2020.02.07
Duan Y Z, Wang H T, Wang C, et al. Potential distribution of endangered plant Helianthemum songaricum in China under climate change[J]. Journal of Plant Resources and Environment, 2020, 29(2): 55−68. doi: 10.3969/j.issn.1674-7895.2020.02.07
|
[8] |
马松梅, 魏博, 李晓辰, 等. 气候变化对梭梭植物适宜分布的影响[J]. 生态学杂志, 2017, 36(5): 1243−1250.
Ma S M, Wei B, Li X C, et al. The impacts of climate change on the potential distribution of Haloxylon ammodendron[J]. Chinese Journal of Ecology, 2017, 36(5): 1243−1250.
|
[9] |
宋文静, 吴绍洪, 陶泽兴, 等. 近30年中国中东部地区植物分布变化[J]. 地理研究, 2016, 35(8): 1420−1432.
Song W J, Wu S H, Tao Z X, et al. Distribution change of plants over mid-eastern China during last 30 years[J]. Geographical Research, 2016, 35(8): 1420−1432.
|
[10] |
Sharmin S, Tanjinul H M, Shiro T, et al. Predicting the probable impact of climate change on the distribution of threatened Shorea robusta forest in Purbachal, Bangladesh[J/OL]. Global Ecology and Conservation, 2020, 24: e01250[2022−12−21]. https://doi.org/10.1016/j.gecco.2020.e01250.
|
[11] |
David N B, Mathieu B, Allison M B, et al. Comparing species distribution models constructed with different subsets of environmental predictors[J]. Diversity and Distributions, 2015, 21(1/2): 23−35.
|
[12] |
李国庆, 刘长成, 刘玉国, 等. 物种分布模型理论研究进展[J]. 生态学报, 2013, 33(16): 4827−4835. doi: 10.5846/stxb201212031735
Li G Q, Liu C C, Liu Y G, et al. Advances in theoretical issues of species distribution models[J]. Acta Ecologica Sinica, 2013, 33(16): 4827−4835. doi: 10.5846/stxb201212031735
|
[13] |
刘晓彤, 袁泉, 倪健. 中国植物分布模拟研究现状[J]. 植物生态学报, 2019, 43(4): 273−283.
Liu X T, Yuan Q, Ni J. Research advances in modelling plant species distribution in China[J]. Chinese Journal of Plant Ecology, 2019, 43(4): 273−283.
|
[14] |
王志威. 药用植物云南土沉香潜在适生区及关键气候因子的影响[J]. 生态学杂志, 2022, 41(10): 1991−1997.
Wang Z W. The potential suitable areas and impact of key climatic factors of medicinal plant Excoecaria acerifolia Didr[J/OL]. Chinese Journal of Ecology, 2022, 41(10): 1991−1997.
|
[15] |
Duan X G, Li J Q, Wu S H. MaxEnt modeling to estimate the impact of climate factors on distribution of Pinus densiflora[J/OL]. Forests, 2022, 13(3): 402[2022−12−21]. https://doi.org/10.3390/f13030402.
|
[16] |
张晓玮, 蒋玉梅, 毕阳, 等. 基于MaxEnt模型的中国沙棘潜在适宜分布区分析[J]. 生态学报, 2022, 42(4): 1420−1428.
Zhang X W, Jiang Y M, Bi Y, et al. ldentification of potential distribution area for Hippophae rhamnoides subsp. sinensis by the MaxEnt model[J]. Acta Ecologica Sinica, 2022, 42(4): 1420-1428
|
[17] |
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. doi: 10.1016/j.ecolmodel.2005.03.026
|
[18] |
柳晓燕, 李俊生, 赵彩云, 等. 基于 MAXENT 模型和 ArcGIS 预测豚草在中国的潜在适生区[J]. 植物保护学报, 2016, 43(6): 1041−1048.
Liu X Y, Li J S, Zhao C Y, et al. Prediction of potential suitable area of Ambrosia artemisiifolia L. in China based on MAXENT and ArcGIS[J]. Chinese Journal of Plant Protection, 2016, 43(6): 1041−1048.
|
[19] |
Roberto M, Ricardo Z, Juan R M, et al. Predictive modeling of microhabitats for endemic birds in South Chilean temperate forests using Maximum entropy (Maxent)[J]. Ecological Informatics, 2011, 6(6): 364−370. doi: 10.1016/j.ecoinf.2011.07.003
|
[20] |
Solhjouy-Fard S, Sarafrazi A, et al. Patterns of niche overlapping and richness among Geocoris species (Hemiptera: Geocoridae) in Iran[J]. Biocontrol Science & Technology, 2016, 26(9): 1197−1211.
|
[21] |
Phillips S J, Dudik M. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation[J]. Ecography, 2008, 31(2): 161−175. doi: 10.1111/j.0906-7590.2008.5203.x
|
[22] |
董光, 何兰, 程武学. 基于MaxEnt和GIS技术的桔梗适宜性分布区划研究[J]. 中药材, 2019, 42(1): 66−70.
Dong G, He L, Cheng W X. Study on suitability distribution regionalization of Platycodon grandiflorum based on Maxent and GIS[J]. Traditional Chinese Medicine, 2019, 42 (1): 66−70.
|
[23] |
张满清. 黄土高原退耕还林树种选择与配置[D]. 北京: 北京林业大学, 2004.
Zhang M Q. Studies on tree species selection and arrangement in the Conversion of Farmland to Forest (CFF) Project on the Loess Plateau[D]. Beijing: Beijing Forestry University, 2004.
|
[24] |
张玲. 甘肃中部退耕还林还草气候适应性分析−以定西市为例[J]. 甘肃科技, 2020, 36(18): 152−156. doi: 10.3969/j.issn.1000-0952.2020.18.054
Zhang L. Climate adaptability analysis of returning farmland to forestry and grassland in central Gansu: taking Dingxi City as an example[J]. Gansu Science and Technology, 2020, 36(18): 152−156. doi: 10.3969/j.issn.1000-0952.2020.18.054
|
[25] |
魏安琪. 陕西吴起退耕还林植被恢复及常见造林树种适生性研究[D]. 北京: 北京林业大学, 2019.
Wei A Q. Study on vegetation restoration and adaptability of common afforestation tree species in converted farmland to forestry region: a case of Wuqi County, Shaanxi Province[D]. Beijing: Beijing Forestry University, 2019.
|
[26] |
Jiang X L, Deng M, Li Y. Evolutionary history of subtropical evergreen broad-leaved forest in Yunnan Plateau and adjacent areas: an insight from Quercus schottkyana (Fagaceae)[J/OL]. Tree Genetics & Genomes, 2016, 12(6): 104[2022−12−21]. DOI: 10.1007/s11295-016-1063-2.
|
[27] |
李洁. 未来气候变化对中国6种典型落叶阔叶树种脆弱性研究[D]. 杨凌: 西北农林科技大学, 2020.
Li J. Vulnerability of six typical deciduous broadleaved tree species to future climate change in China[D]. Yangling: Northwest A&F University, 2020.
|
[28] |
Dyderski M K, Paź S, Frelich L E, et al. How much does climate change threaten European forest tree species distributions?[J]. Global Change Biology, 2018, 24(3): 1150−1163. doi: 10.1111/gcb.13925
|
[29] |
张晓芹. 西北旱区典型生态经济树种地理分布与气候适宜性研究[D]. 杨凌: 中国科学院大学(中国科学院教育部水土保持与生态环境研究中心), 2018.
Zhang X Q. Geographical distribution and climatic suitability of typical eco-economical tree species in the dryland of Northwest China[D]. Yangling: University of Chinese Academy of Sciences (Research Center for Soil and Water Conservation and Eco-Environment, Ministry of Education, Chinese Academy of Sciences), 2018.
|
[30] |
吕振刚, 李文博, 黄选瑞, 等. 气候变化情景下河北省3个优势树种适宜分布区预测[J]. 林业科学, 2019, 55(3): 13−21.
Lü Z G, Li W B, Huang X R, et al. Predicting suitable distribution area of three dominant tree species under climate change scenarios in Hebei Province[J]. Scientia Silvae Sinicae, 2019, 55(3): 13−21.
|
[31] |
张日升, 贾树海, 张国剑, 等. 基于GIS的樟子松种植适宜性评价研究[J]. 土壤通报, 2019, 50(3): 555−561.
Zhang R S, Jia S H, Zhang G J, et al. Suitability evaluation for Pinus sylvestris var. mongolica planting based on GlS[J]. Chinese Journal of Soil Science, 2019, 50(3): 555−561.
|
[32] |
张晨星, 张炜, 徐晶晶, 等. 基于GIS和最大熵模型的河北省油松适宜性分布分析[J]. 地理与地理信息科学, 2020, 36(6): 18−25.
Zhang C X, Zhang W, Xu J J, et al. Analysis on suitability distribution of Pinus tabuliformis in Hebei Province based on GlS and MaxEnt model[J]. Geography and Geo-Information Science, 2020, 36(6): 18−25.
|
[33] |
王子婷, 柴春山, 张洋东, 等. 半干旱黄土区柠条生长与环境因子的关系研究进展[J]. 中国水土保持, 2021(1): 49−52.
Wang Z T, Chai C S, Zhang Y D, et al. Research progress on relationship between Caragana korshinskii growth and environmental factors in the semi-arid loess area[J]. Soil and Water Conservation in China, 2021(1): 49−52.
|
[34] |
穆喜云, 乌志颜, 李显玉, 等. 基于最大熵模型的赤峰市华北落叶松人工林适宜分布区估测[J]. 干旱区资源与环境, 2021, 35(6): 144−152.
Mu X Y, Wu Z Y, Li X Y, et al. Estimation of the potential distribution areas of Larix principis-rupprechtii plantation in Chifeng based on MaxEnt model[J]. Journal of Arid Land Resources and Environment, 2021, 35(6): 144−152.
|
[35] |
Shao H, Zhang Y D, Gu F X, et al. Impacts of climate extremes on ecosystem metrics in southwest China[J/OL]. Science of the Total Environment, 2021, 776: 145979[2022−12−21]. https://doi.org/10.1016/j.scitotenv.2021.145979.
|
[36] |
郑治斌, 邓艳君, 黄永平. 极端天气气候事件对江汉湖群湿地生态的影响研究[J]. 人民长江, 2021, 52(增刊2): 45−51.
Zheng Z B, Deng Y J, Huang Y P. Study on impact of extreme weather and climate events on wetland ecology of Jianghan Lake Group[J]. Yangtze River, 201, 52(Suppl. 2): 45−51.
|
[37] |
冯斌. 气候变化背景下广西自然保护区体系的管理有效性研究[D]. 北京: 中国林业科学研究院, 2020.
Feng B. Study on the management effectiveness of nature reserve system of Guangxi in the context of climate change[D]. Beijing: Chinese Academy of Forestry, 2020.
|
[38] |
李雅, 于秀波, 刘宇, 等. 湿地植物功能性状对水文过程的响应研究进展[J]. 生态学杂志, 2018, 37(3): 952−959.
Li Y, Yu X B, Liu Y, et al. Response of wetland plant functional traits to hydrological processes: a review[J]. Chinese Journal of Ecology, 2018, 37(3): 952−959.
|
[39] |
霍宏亮, 马庆华, 李京璟, 等. 中国榛属植物种质资源分布格局及其适生区气候评价[J]. 植物遗传资源学报, 2016, 17(5): 801−808.
Huo H L, Ma Q H, Li J J, et al. Study on the distribution of Corylus L. in China and the climatic evaluation of the suitable areas[J]. Journal of Plant Genetic Resources, 2016, 17(5): 801−808.
|
[40] |
李灿. 濒危植物崖柏潜在分布区预测与生境时空变化定量研究[D]. 成都: 成都理工大学, 2018.
Li C. A quantitative study on the prediction of potential distribution area and temporal and spatial changes of habitats of thuja, an endangered plant[D]. Chengdu: Chengdu University of Technology, 2018.
|
[41] |
陈敏鹏, 林而达. 代表性浓度路径情景下的全球温室气体减排和对中国的挑战[J]. 气候变化研究进展, 2010, 6(6): 436−442.
Chen M P, Lin E D. Global greenhouse gas emission mitigation under representative concentration pathways scenarios and challenges to China[J]. Climate Change Research, 2010, 6(6): 436−442.
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