ZHANG Yueyue,CHENG Zhigang,CHEN Xiaoxiao,et al.Analysis on the Variation Characteristics of Typical Climatic Indexes and its Altitude Dependence in the Region of Rapid Vegetation Changes of Qinba Mountain[J].Journal of Chengdu University of Information Technology,2020,35(04):471-478.[doi:10.16836/j.cnki.jcuit.2020.04.017]
秦巴山区植被快速变化区典型气候指标的演变特征及其海拔依赖性分析
- Title:
- Analysis on the Variation Characteristics of Typical Climatic Indexes and its Altitude Dependence in the Region of Rapid Vegetation Changes of Qinba Mountain
- 文章编号:
- 2096-1618(2020)04-0471-08
- Keywords:
- atmospheric science; the change of climate and environment; Qinba Mountain; bio-climatic index; extreme value of air temperature; elevation dependence
- 分类号:
- P461+.8
- 文献标志码:
- A
- 摘要:
- 气候因子对植被生长具有决定性作用,为更好地研究秦巴山区气候因子的变化特征,依据该区域NDVI时空分布特征,选取500～1200 m海拔段35个气象站点1975-2017年的逐日气温、降水数据,分析了植被快速增长区典型气候指标的变化特征及其海拔依赖性。结果表明:35站的温暖指数、寒冷指数、最暖月均温、最冷月均温、10℃积温和积温日数均呈增大趋势,其变化率均与海拔呈正相关,而干湿度指数则呈减小趋势,且指数变化率与海拔呈负相关关系; 最高温极大值超过42 ℃,年代际平均温度保持在12 ℃～16 ℃,2005年后最大增温趋势超过1.4 ℃/10 a; 温度极值的变化率与海拔高度呈正相关,最高温的极小值变化率与海拔的正相关性最强,最低温极小值最弱,但均通过95%显著性检验
- Abstract:
- The climatic factors are decisive factors of vegetation growth, in order to learn the variation characteristics of climatic factors in the Qinba Mountain, based on the temporal and spatial distribution characteristics, the paper chooses daily air temperature and precipitation data of 35 meteorological stations between 500 m to 1200 m above the sea level from 1975 to 2017 in Qinba Mountain. The typical climatic indexes and elevation dependence of the fast-growing region of vegetation are analyzed. The results showed that: Kira's warmth index, Kira's coldness index, the mean temperature in the warmest month, the mean temperature in the coldest month, the accumulated temperature above 10 ℃ and duration days increased obviously, and there was positive relationship between their rates of change and their altitudes. But the aridity/humidity index has an decreasing trend, and the change rate of exponent has an negative relationship with the altitude.(2)The maximum value of maximum air temperature exceeded 42 ℃. The perennial mean air temperature remained from 12 ℃ to 16 ℃, and the maximum warming rate is over 1.4 ℃/10a.(3)The change rate of temperature extreme value is positively correlated with altitude. There was a strong positive correlation between the minimum value of maximum air temperature and the altitude, a weak positive correlation between the minimum value of minimum air temperature and the altitude, but all the correlations were significant(P<0.05
参考文献/References:
[1] 赵昕奕,张惠远,万军.青藏高原气候变化对气候带的影响[J].地理科学,2002,22(2):190-195.
[2] 刘晓琼,吴泽洲,刘彦随,等.1960-2015年青海三江源地区降水时空特征[J].地理学报,2019,74(9):1803-1820.
[3] 邓晨晖,白红英,高山,等.1964-2015年气候因子对秦岭地区植物物候的综合影响效应[J].地理学报,2018,73(5):917-931.
[4] 张扬,白红英,黄晓月,等.近55 a秦岭山区极端气温变化及其对区域变暖的影响[J].山地学报,2018,36(1):23-33.
[5] 张文江,高志强.青藏高原中东部水热条件与NDVI的空间分布格局[J].地理研究,2006,25(5):877-886.
[6] 王耀斌,赵永华,韩磊,等.2000-2015年秦巴山区植被净初级生产力时空变化就其驱动因子[J].应用生态学报,2018,29(7):2372-2381.
[7] 陈超男,朱连奇,田莉,等.秦巴山区植被覆盖度变化及气候因子驱动分析[J],生态学报,2019,39(9):3257-3266.
[8] 李红梅.柴达木盆地气候变化对植被的影响分析[J].草业学报,2018,27(3):13-23.
[9] 王宗明,国志兴,宋开山,等.中国东北地区植被NDVI对气候变化的响应[J].生态学杂志,2009,28(6):1041-1048.
[10] 张清雨,吴绍洪,赵东升,等.内蒙古草地生长季植被变化对气候因子的响应[J],自然资源学报,2013,28(5):754-764.
[11] 杜灵通,宋乃平,王磊,等.近30 a气候变暖对宁夏植被的影响[J],自然资源学报,2015,30(12):2095-2106.
[12] 白红英.秦巴山区森林植被对环境变化的响应[M],北京:科学出版社,2014.
[13] 翟雅倩,张翀,周旗,等.秦巴山区植被覆盖度与土壤湿度时空变化特征及其相互关系[J].地球信息科学,2018,20(7):967-977.
[14] 张百平.中国南北过渡带研究的十大科学问题[J].地理科学进展,2019,38(3):305-311.
[15] 香薇,程志刚,周波涛,等.1975-2016年秦巴山区极端气温事件的空间差异性分析[J].气候变化研究进展,2018,14(4):362-370.
[16] 孙华,白红英,张清雨,等.基于SPOT VEGETATION的秦岭南坡近10年来植被覆盖变化及其对温度的响应[J].环境科学学报,2010,30(3):649-654.
[17] 任园园,张哲,侯钦磊,等.大巴山地区植被覆盖度变化及其对气候变化的响应[J].水土保持通报,2012,32(2):56-59.
[18] 刘宪锋,潘耀忠,朱秀芳,等.2000-2014年秦巴山区植被覆盖时空变化特征及其归因[J].地理学报,2015,70(5):705-716.
[19] 夏浩铭,李爱农,赵伟,等.2001-2010年秦岭森林物候时空变化遥感监测[J].地理科学进展,2015,34(10):1297-1305.
[20] 高涛涛,殷淑燕,王水霞.基于SPEI指数的秦岭南北地区干旱时空变化特征[J].干旱区地理,2018,41(4):761-770.
[21] 李双双,延军平,杨赛霓,等.1960-2016年秦岭-淮河地区热浪时空变化特征及其影响因素[J].地理科学进展,2018,37(4):504-514.
[22] 崔晓临,白红英,尚小清.基于MODIS NDVI的秦岭地区植被覆盖变化研究[J].西北大学学报(自然科学版),2012,42(6):1021-1026.
[23] 贺添,邵全琴.基于MOD16产品的我国2001-2010年蒸散发时空格局变化分析[J].地球信息科学,2014,16(6):979-988.
[24] 任志远,李晶.陕南秦巴山区植被生态功能的价值测评[J].地理学报,2003,58(4):503-511.
[25] 齐贵增,白红英,孟清,等.1959-2018年秦岭南北春季气候时空变化特征[J],干旱区研究,2019,36(5):1079-1091.
[26] 李双双,芦佳玉,延军平,等.1970-2015年秦岭南北气温时空变化及其气候分界意义[J].地理学报,2018,73(1):13-24.
[27] 王钊,彭艳,魏娜.近52 a秦岭南北极端温度变化及其与区域增暖的关系[J].干旱气象,2016,34(2):269-275.
[28] 杨波,张勃,安美玲,等.1961-2011年秦巴山区极端降水事件的时空特征分析[J].水土保持研究,2014,21(1):110-116.
[29] 贺映娜,白红英,高翔,等.基于NDVI的米仓山植被覆盖变化趋势分析[J].西北植物学报,2011,31(8):1677-1682.
[30] 章金城,周文佐.2006-2015年秦巴山区植被光合有效辐射吸收比例的时空变化特征[J].生态学杂志,2019,38(5):1453-1463.
[31] 邓晨晖,白红英,高山,等.秦岭植被覆盖时空变化及其对气候变化与人类活动的双重影响[J].自然资源学报,2018,33(3):425-438.
[32] Jacqueline GF,Antoine G,Einklaus E Z.Tree line shifts in the Swiss Alps:climate change or land abandonment[J].Journal of Vegetation Science,2007,18:571-582.
[33] 崔晓临,白红英,王涛.秦岭地区植被NDVI海拔梯度差异及其气温响应[J].资源科学,2013,35(3):618-626.
[34] 贾庆宇,王笑影,吕国红,等.辽宁省气候-植被指标时空变化特征及森林适宜性分析[J].生态环境学报,2010,19(9):2031-2035.
[35] 邹春静,徐文铎.中国东北植被生态学研究中的焦点问题[J].应用生态学报,2004,15(10):1711-1721.
[36] Choi Sungho,LEE WooKyun,Son Yowhan,et al.基于温度指数-温暖指数和最冷月低温对韩国森林植被分布变化的模拟[J].中国科学:生命科学,2010,40(7):595.
[37] 陈飞,王健敏,陈晓鸣,等.基于Kira指标的云南松气候适宜性分析[J].林业科学研究,2012,25(5):576-581.
[38] 郑远长.青藏高原东南部山地森林植被-气候关系研究[J].地理研究,1995(4):104-105.
[39] 苏小青,陈世品,童建宁.福建主要树种的分布与气候条件关系的研究[J].福建林学院学报,2001(4):371-375.
[40] 曹伟,郑美林,刘童燕.东北地区主要树种分布与气候的关系[J].干旱区资源与环境,2013,27(3)132-136.
[41] 赵东升,吴绍洪,郑度,等.青藏高原生态气候因子的空间格局[J].应用生态学报,2009,20(5):1153-1159.
[42] Box EO.Macroclimate and plant forms:An introduction to predictive modeling in phytogeography[M].Hague:Dr.W.Junk Publishers,1981.
[43] 丘宝剑,卢其尧.中国农业气候区划试论[J].地理学报,1980,35(2):116-125.
[44] 周晓宇,赵春雨,王颖,等.1961-2012年辽宁省极端气温事件气候变化特征[J].冰川冻土,2015,37(4):876-887.
[45] 袁淑杰,谷晓平,缪启龙,等.贵州高原复杂地形下月平均日最高气温分布式模拟[J].地理学报,2009,64(7):888-896.
[46] 彭文甫,张冬梅,罗艳玫,等.自然因子对四川植被NDVI变化的地理探测[J],地理学报,2019,74(9):1758-1776.
[47] 朴世龙,张新平,陈安平,等.极端气候事件对陆地生态系统碳循环的影响f[J].中国科学:地球科学,2019,49(9):1321-1334.
相似文献/References:
[1]梁家豪,陈科艺,李 毓.WRF模式中积云对流参数化方案对南海土台风“Ryan”模拟的影响研究[J].成都信息工程大学学报,2019,(02):162.[doi:10.16836/j.cnki.jcuit.2019.02.010]
LIANG Jiahao,CHEN Keyi,LI Yu.The Impact of Different Cumulus Parameterization Schemes of the WRF
Model on the Typhoon “Ryan” Simulation over the South China Sea[J].Journal of Chengdu University of Information Technology,2019,(04):162.[doi:10.16836/j.cnki.jcuit.2019.02.010]
[2]廖 琦,肖天贵,金荣花.东亚副热带西风急流年际变化特征分析[J].成都信息工程大学学报,2018,(01):68.[doi:10.16836/j.cnki.jcuit.2018.01.013]
LIAO Qi,XIAO Tian-Gui,JIN Rong Hua.Analysis on Inter-annual Variation of EastAsian Subtropical Westerly Jet[J].Journal of Chengdu University of Information Technology,2018,(04):68.[doi:10.16836/j.cnki.jcuit.2018.01.013]
[3]高清泉,韩瑽琤,肖天贵.微波通信链路监测降水试验及可行性探究[J].成都信息工程大学学报,2018,(02):197.[doi:10.16836/j.cnki.jcuit.2018.02.015]
GAO Qing-quan,HAN Cong-cheng,XIAO Tian-gui.Feasibility Study of Microwave CommunicationLink for Rainfall Monitoring Purposes[J].Journal of Chengdu University of Information Technology,2018,(04):197.[doi:10.16836/j.cnki.jcuit.2018.02.015]
[4]黄 瑶,肖天贵,刘思齐.2016年7月四川持续性强降水的中尺度滤波分析[J].成都信息工程大学学报,2018,(03):307.[doi:10.16836/j.cnki.jcuit.2018.03.014]
HUANG Yao,XIAO Tian-gui,LIU Si-qi.Mesoscale Filtering Analysis of Persistent Heavy Rainfall in Sichuan in July 2016[J].Journal of Chengdu University of Information Technology,2018,(04):307.[doi:10.16836/j.cnki.jcuit.2018.03.014]
[5]李雅婷,苏德斌,孙晓光,等.四川盆地风廓线雷达大气折射率结构常数特征分析[J].成都信息工程大学学报,2018,(04):375.[doi:10.16836/j.cnki.jcuit.2018.04.005]
LI Ya-ting,SU De-bin,SUN Xiao-guang,et al.Characteristic Analysis of Atmospheric Structure Constant of Refractive Index of
Sichuan Basin based on Wind Profiler Radar[J].Journal of Chengdu University of Information Technology,2018,(04):375.[doi:10.16836/j.cnki.jcuit.2018.04.005]
[6]石 宇,肖子牛,朱克云.夏季角动量输送变化与中国东部降水的关系[J].成都信息工程大学学报,2018,(04):456.[doi:10.16836/j.cnki.jcuit.2018.04.016]
SHI Yu,XIAO Zi-niu,ZHU Ke-yun.Relationship between Angular Momentum Transportand Precipitation in Eastern China in Summer[J].Journal of Chengdu University of Information Technology,2018,(04):456.[doi:10.16836/j.cnki.jcuit.2018.04.016]
[7]宾 昕,程志刚,王俊锋,等.近17a秦巴山区NDVI季节变化差异及其海拔依赖性特征分析[J].成都信息工程大学学报,2019,(03):302.[doi:10.16836/j.cnki.jcuit.2019.03.016]
BIN Xin,CHENG Zhigang,WANG Junfeng,et al.Seasonal Variation of NDVI and Altitude Dependent Characteristics in Qinling-Daba Mountains in Recent 17 Years[J].Journal of Chengdu University of Information Technology,2019,(04):302.[doi:10.16836/j.cnki.jcuit.2019.03.016]
[8]金凡琦,程志刚,靳立亚,等.成渝城市群热环境效应与植被覆盖度关系研究[J].成都信息工程大学学报,2019,(03):308.[doi:10.16836/j.cnki.jcuit.2019.03.017]
JIN Fanqi,CHENG Zhigang,JIN Liya,et al.Study on the Relationship between Thermal Environment Effect and Vegetation Coverage in Chengyu Urban Agglomeration[J].Journal of Chengdu University of Information Technology,2019,(04):308.[doi:10.16836/j.cnki.jcuit.2019.03.017]
[9]元 震,肖天贵.高原低涡与OLR、风场的气候变化及低频信号特征[J].成都信息工程大学学报,2018,(05):551.[doi:10.16836/j.cnki.jcuit.2018.05.013]
YUAN Zhen,XIAO Tian-gui.Climate Change and Low-frequency Signal Characteristics of
Plateau Vortex, OLR and Wind Fields[J].Journal of Chengdu University of Information Technology,2018,(04):551.[doi:10.16836/j.cnki.jcuit.2018.05.013]
[10]周 颖,向卫国.四川盆地大气混合层高度特征及其与AQI的相关性分析[J].成都信息工程大学学报,2018,(05):562.[doi:10.16836/j.cnki.jcuit.2018.05.014]
ZHOU Ying,XIANG Wei-guo.Analysis of the Characteristics of the Height of Atmospheric Mixed
Layers in Sichuan Basin and its Correlation with AQI[J].Journal of Chengdu University of Information Technology,2018,(04):562.[doi:10.16836/j.cnki.jcuit.2018.05.014]
备注/Memo
收稿日期:2019-11-25
基金项目:国家科技基础资源调查专项资助项目(2017FY100903); 国家自然科学基金资助项目(41971026)