影响中国刺柏属8种地理分布格局的主导因子

王爱君, 路东晔, 贺嵘, 黄海广, 宁静, 韩若霜, 张国盛, 贺玉娇

南京林业大学学报(自然科学版) ›› 2025, Vol. 49 ›› Issue (6) : 205-214.

PDF(3705 KB)
PDF(3705 KB)
南京林业大学学报(自然科学版) ›› 2025, Vol. 49 ›› Issue (6) : 205-214. DOI: 10.12302/j.issn.1000-2006.202404037
研究论文

影响中国刺柏属8种地理分布格局的主导因子

作者信息 +

Dominant factors influencing the geographical distribution pattern of eight species of Juniperus in China

Author information +
文章历史 +

摘要

【目的】树种的地理分布特征反映了气候趋势,同时气候变化也反作用于树种分布,它们之间的相互关系可为研究树种地理分布和起源,制定保护策略提供理论依据。【方法】以位于3级地理阶梯天然分布的刺柏属(Juniperus)8种为研究对象,通过对222个样点的气候、海拔数据进行方差、变异系数分析,以及线性回归、主成分与线性判别分析,比较和确定限制刺柏树种地理分布格局形成的主导因子。【结果】年均气温、昼夜温差月均值、等温性、极端最高温、年温度变化范围、年均降水量、降水量季节性变化、最冷季降水量、海拔、干旱指数在8种分布区间存在显著差异(P<0.001);其中等温性、年温度变化范围、年均降水量、海拔、干旱指数的方差来自树种间,剩余5个因子的方差主要来自树种内。昼夜温差月均值、等温性、极端最高温、年温度变化范围、降水量季节性变化的变异系数在20%左右,限制性强。经纬度与等温性、极端最高温、年温度变化范围、降水量季节性变化、海拔显著相关,其中与等温性、海拔因子为负相关。年温度变化范围、等温性、降水量季节性变化、极端最高温、海拔是驱动刺柏属8种地理分布差异的主要因子,并且温度载荷大于降水量。8种分布格局大致分为兴安圆柏(J. sabina var. davurica)、杜松(J. rigida)、叉子圆柏(J. sabina)、新疆方枝柏(J. pseudosabina)分布于干冷区,祁连圆柏(J. przewalskii)、大果圆柏(J. tibetica)、方枝柏(J. saltuaria)、滇藏方枝柏(J. indica)分布于暖湿区。【结论】温度(等温性、极端最高温、年温度变化范围)、水分(降水量季节性变化)和海拔共同作用驱动着刺柏属8种的地理分布,并且温度影响大于水分影响,海拔因子重新调整了相同经纬度地区的水热状况。本研究表明刺柏属树种喜生于冷湿环境,体现出其泛北极植物区系的特征;提出了刺柏属8种适宜分布区的温度、水分和海拔高度的均值与范围,可为今后异地栽种提供理论参考。

Abstract

【Objective】The geographical distribution characteristics of tree species reflect climate trends, while climate change in turn influences their distribution. The interaction between these provides a theoretical basis for studying the geographical distribution and origin of tree species, as well as formulating conservation strategies.【Method】Taking eight naturally distributed species of the Juniperus across the three-level geographical terrains as the research subjects, this study employed analysis of variance (ANOVA), coefficient of variation, linear regression analysis, principal component analysis (PCA), and linear discriminant analysis (LDA) on climate and altitude data from 222 sampling sites. The aim was to compare and identify the dominant factors restricting the formation of the geographical distribution pattern of Juniperus species.【Result】Significant differences (P<0.001) were observed among the eight species in terms of annual mean temperature, mean diurnal range, isothermality, the max temperature of the warmest month, temperature annual range, annual precipitation, precipitation seasonality, precipitation of the coldest quarter, altitude, and aridity index. Among these factors, the variance in isothermality, temperature annual range, annual precipitation, altitude, and aridity index originated primarily from interspecific differences, while the variance in the remaining five factors originated mainly from intraspecific variations. The coefficients of variation for mean diurnal range, isothermality, the max temperature of the warmest month, temperature annual range, and precipitation seasonality were approximately 20%, indicating strong restrictive effects. Latitude and longitude were significantly correlated with isothermality, the max temperature of the warmest month, temperature annual range, precipitation seasonality and altitude, with negative correlations observed for isothermality and altitude.The temperature annual range, isothermality, precipitation seasonality, the max temperature of the warmest month, and altitude were the main drivers of geographical distribution differences among the eight Juniperus species, and the contribution of temperature-related factors exceeded that of precipitation-related ones. The eight species were roughly divided into two groups: the dry-cold zone group, including J. sabina var. davurica, J. rigida, J. sabina and J. pseudosabina; and the warm-humid zone group, including J. przewalskii, J. tibetica, J. saltuaria and J. indica.【Conclusion】Temperature (isothermality, the max temperature of the warmest month, temperature annual range), moisture (precipitation seasonality), and altitude collectively drive the geographical distribution of each Juniperus species, with temperature exerting a greater influence than moisture. Altitude readjusts the hydrothermal conditions in areas with the same latitude and longitude. This study presents the mean values and ranges of temperature, moisture, and altitude for the suitable distribution areas of the eight species, providing a theoretical reference for future ex-situ cultivation.The findings indicate that Juniperus species prefer cold and humid environments, reflecting their characteristics as part of the Holarctic flora.

关键词

刺柏属 / 地理分布格局 / 主导因子 / 气候 / 海拔

Key words

Juniperus / geographical distribution pattern / dominant factor / climate / altitude

引用本文

导出引用
王爱君, 路东晔, 贺嵘, . 影响中国刺柏属8种地理分布格局的主导因子[J]. 南京林业大学学报(自然科学版). 2025, 49(6): 205-214 https://doi.org/10.12302/j.issn.1000-2006.202404037
WANG Aijun, LU Dongye, HE Rong, et al. Dominant factors influencing the geographical distribution pattern of eight species of Juniperus in China[J]. Journal of Nanjing Forestry University (Natural Sciences Edition). 2025, 49(6): 205-214 https://doi.org/10.12302/j.issn.1000-2006.202404037
中图分类号: S79   

参考文献

[1]
FARJON A. A monograph of Cupressaceae and Sciadopitys[J]. Biology, Environmental Science, 2000:83002581.
[2]
ADAMS R P. Junipers of the world: the genus Juniperus[M]. 2nd ed. Vancouver, Canada: Trafford Publishing, 2010.DOI: 10.2179/0008-7475-75.2.258.
[3]
THORNE R F. Major disjunctions in the geographic ranges of seed plants[J]. The Quarterly Review of Biology, 1972, 47(4):365-411.DOI: 10.2307/2820737.
[4]
ADAMS R P. Junipers of the world : the genus Juniperus[M]. Vancouver, Canada: Trafford Publishing, 2004.
[5]
毛康珊. 广义柏科的生物地理学研究:从板块漂移理论到冰期避难所[D]. 兰州: 兰州大学, 2010.
MAO K S. Biogeographic study of Cupressaceae in a broad sense:from plate drift theory to ice age refuge[D]. Lanzhou: Lanzhou University, 2010.
[6]
WIENS J J. Speciation and ecology revisited: phylogenetic niche conservatism and the origin of species[J]. Evolution, 2004, 58(1):193-197.DOI:10.1111/j.0014-3820.2004.tb01586.x.
[7]
FANG J Y, LECHOWICZ M J. Climatic limits for the present distribution of beech (Fagus L.) species in the world[J]. Journal of Biogeography, 2006, 33(10):1804-1819.DOI:10.1111/j.1365-2699.2006.01533.x.
[8]
WANG G H, LI H, ZHAO H W, et al. Detecting climatically driven phylogenetic and morphological divergence among spruce (Picea) species worldwide[J]. Biogeosciences, 2017, 14(9):2307-2319.DOI:10.5194/bg-14-2307-2017.
[9]
中国植被编辑委员会. 中国植被[M]. 北京: 科学出版社,1980.
Chinese Vegetation Editorial Committee. Chinese vegetation[M]. Beijing: Science Press,1980.
[10]
李文华, 周沛村. 暗针叶林在欧亚大陆分布的基本规律及其数学模型的研究[J]. 资源科学, 1979, 1(1):21-34.
LI W H, ZHOU P C. Study on the basic law and mathematical model of dark coniferous forest distribution in Eurasia[J]. Resources Science, 1979, 1(1):21-34.
[11]
王思齐, 朱章明. 中国蔷薇属植物物种丰富度分布格局及其与环境因子的关系[J]. 生态学报, 2022, 42(1):209-219.
WANG S Q, ZHU Z M. Relationships between species richness patterns of Rosa L.and environmental factors in China[J]. Acta Ecologica Sinica, 2022, 42(1):209-219.DOI:10.5846/stxb202002280363.
[12]
ZHANG Y, KONG Z C, YAN S, et al. Fluctuation of Picea timber-line and paleo-environment on the northern slope of Tianshan Mountains during the late Holocene[J]. Chinese Science Bulletin, 2006, 51(14):1747-1756.DOI:10.1007/s11434-006-2029-9.
[13]
王静. 川渝地区马先蒿属物种多样性及其与环境因子的关系[D]. 成都: 四川大学, 2005.
WANG J. Species diversity of Pedicularis in Sichuan and Chongqing and its relationship with environmental factors[D]. Chengdu: Sichuan University, 2005.
[14]
孟和, 姜真杰, 张国盛. 内蒙古臭柏不同分布区生长与生态因子的关联分析[J]. 浙江农林大学学报, 2010, 27(1):51-56.
MENG H, JIANG Z J, ZHANG G S. Using the Grey System Theory for analysis of relationship between Sabina vulgaris growth and ecological factors[J]. Journal of Zhejiang A & F University, 2010, 27(1):51-56.DOI: 10.3969/j.issn.2095-0756.2010.01.008.
[15]
ADAMS R P, BORATYNSKI A, MATARACI T, et al. Discovery of Juniperus sabina var. balkanensis R.P.Adams and A.N.Tashev in southwestern Turkey[J]. Phytologia, 2017, 99(1):22-31.
[16]
ADAMS R P, BORATYNSKI A, MARCYSIAK K, et al. Discovery of Juniperus sabina var. balkanensis R.P.Adams and A.N.Tashev in Macedonia,Bosnia-Herzegovina,Croatia and Central and Southern Italy and relictual polymorphisms found in nrDNA[J]. Phytologia, 2018, 100(2):117-127.
[17]
QUAN C, HAN S, UTESCHER T, et al. Validation of temperature-precipitation based aridity index: paleoclimatic implications[J]. Palaeogeography Palaeoclimatology Palaeoecology, 2013, 386:86-95.DOI:10.1016/j.palaeo.2013.05.008.
[18]
FANG J Y, YODA K. Climate and vegetation in China V: effect of climatic factors on the upper limit of distribution of evergreen broadleaf forest[J]. Ecological Research, 1991, 6(1):113-125.DOI:10.1007/BF02353874.
[19]
李贺, 张维康, 王国宏. 中国云杉林的地理分布与气候因子间的关系[J]. 植物生态学报, 2012, 36(5):372-381.
LI H, ZHANG W K, WANG G H. Relationship between climatic factors and geographical distribution of Spruce forests in China[J]. Chinese Journal of Plant Ecology, 2012, 36(5):372-381.DOI:10.3724/SP.J.1258.2012.00372.
[20]
邱明宇, 王飞, 南芳茹, 等. 中国串珠藻科植物地理分布及与环境因子的关系[J]. 水生生物学报, 2021, 45(2):455-463.
QIU M Y, WANG F, NAN F R, et al. Geographical distribution and relationship with environmental factors of Batrachospermaceae in China[J]. Acta Hydrobiologica Sinica, 2021, 45(2):455-463.DOI:10.7541/2021.2020.005.
[21]
KAISER K, MICHE G, SCHOCH W H, et al. Relief, soil and lost forests: late holocene environmental changes in southern Tibet under human impact[J]. Zeitschrift Fur Geomorphologie Supplement, 2006, 142(142):149-173.DOI:0044-2798/06/0142-0149.
[22]
KAISER K, SCHOCH W H, MIEHE G. Holocene paleosols and colluvial sediments in northeast Tibet (Qinghai Province,China):properties,dating and paleoenvironmental implications[J]. Catena, 2007, 69(2):91-102.DOI:10.1016/j.catena.2006.04.028.
[23]
KAISER K, OPGENOORTH L, SCHOCH W H, et al. Charcoal and fossil wood from Palaeosols,sediments and artificial structures indicating Late Holocene woodland decline in southern Tibet (China)[J]. Quaternary science reviews 2009, 28(15-16):1539-1554.DOI:10.1016/j.quascirev.2009.02.016.
[24]
MIEHE G, MIEHE S, SCHLÜTZ F, et al. Palaeoecological and experimental evidence of former forests and woodlands in the treeless desert pastures of southern Tibet (Lhasa,A.R.Xizang, China)[J]. Palaeogeogr Palaeoclimatol Palaeoecol, 2006, 242(1/2):54-67.DOI:10.1016/j.palaeo.2006.05.010.
[25]
MIEHE G, MIEHE S, WILL M, et al. An inventory of forest relicts in the pastures of southern Tibet (Xizang A.R.,China)[J]. Plant Ecol, 2008, 194(2):157-177.DOI:10.1007/s11258-007-9282-0.
[26]
MILNE R I, ABBOTT R J. The origin and evolution of tertiary relict floras[J]. Advances in Botanical Research,2002:38:281-314.DOI: 10.1016/S0065-2296(02)38033-9.
[27]
张晓玮, 王婧如, 王明浩, 等. 中国云杉属树种地理分布格局的主导气候因子[J]. 林业科学, 2020, 56(4):1-11.
ZHANG X W, WANG J R, WANG M H, et al. Dominant climatic factors influencing the geographical distribution pattern of Picea in China[J]. Scientia Silvae Sinicae, 2020, 56(4):1-11.DOI:10.11707/j.1001-7488.20200401.
[28]
WANG M H, WANG J R, ZHANG A P, et al. Functional traits related to environmental divergence in combination with phylogenetic relationship of Picea species[J]. Dendrobiology, 2019, 80:131-142.DOI:10.12657/denbio.080.013.
[29]
李晓笑, 陶翠, 王清春, 等. 中国亚热带地区4种极危冷杉属植物的地理分布特征及其与气候的关系[J]. 植物生态学报, 2012, 36(11):1154-1164.
LI X X, TAO C, WANG Q C, et al. Characteristics of geographic distribution of four critically endangered species of Abies in subtropical China and its relationship with climate[J]. Chinese Journal of Plant Ecology, 2012, 36(11):1154-1164.DOI:10.3724/SP.J.1258.2012.01154.
[30]
刘然, 王春晶, 何健, 等. 气候变化背景下中国冷杉属植物地理分布模拟分析[J]. 植物研究, 2018, 38(1):37-46.
LIU R, WANG C J, HE J, et al. Analysis of geographical distribution of Abies in China under climate change[J]. Bulletin of Botanical Research, 2018, 38(1):37-46.DOI: 10.7525/j.issn.1673-5102.2018.01.005.
[31]
徐振朋, 张佳琦, 宛涛, 等. 孑遗植物裸果木历史分布格局模拟及避难区研究[J]. 西北植物学报, 2017, 37(10):2074-2081.
XU Z P, ZHANG J Q, WAN T, et al. Study on the history distribution pattern of Gymnocarpos przewalskii and refuge area[J]. Acta Botanica Boreali-Occidentalia Sinica, 2017, 37(10):2074-2081.DOI: 10.7606/j.issn.1000-4025.2017.10.2074.
[32]
SHERWOOD A R, VIS M L, SHEATH R G. Phenology and phylogenetic positioning of the Hawaiian endemic freshwater Alga,Batrachospermum spermatiophorum(Rhodophyta,Batrachospermales)[J]. Phycological Research, 2010, 52(3):193-203. DOI:10.1111/j.1440-183.2004.00343.x.
[33]
WANG J R, HAWKINS C D B, LETCHFORD T. Photosynthesis,water and nitrogen use efficiencies of four paper birch (Betula papyrifera) populations grown under different soil moisture and nutrient regimes[J]. Forest Ecol Manage, 1998, 112(3):233-244.DOI:10.1016/S0378-1127(98)00407-1.

基金

国家自然科学基金项目(31460204)

编辑: 吴祝华
PDF(3705 KB)

Accesses

Citation

Detail

段落导航
相关文章

/