轿子山国家级自然保护区气候变化特征及对NDVI的影响

任钇潼; 程清平; 金韩宇; 张宏英; 王平

doi:10.13870/j.cnki.stbcxb.2022.04.022

您当前的位置：

首页 >

文章列表页 >

轿子山国家级自然保护区气候变化特征及对NDVI的影响

更新时间：2025-03-12

- 轿子山国家级自然保护区气候变化特征及对NDVI的影响
- Climate Change Characteristics of Jiaozishan National Nature Reserve and Its Impact on NDVI
- 水土保持学报 2022年36卷第4期页码：168-177
- 作者机构：
  
  1. 西南林业大学地理与生态旅游学院,昆明,650224
  2. 西南生态文明研究中心,昆明,650224
  3. 中国科学院西北生态环境与资源研究院玉龙雪山冰冻圈与可持续发展国家(云南省)科学野外观测研究站,兰州,730000
  4. 云南师范大学地理学部,昆明,650500
- 作者简介：
  
  [ "任钇潼(1998—),女,硕士研究生,主要从事极端气候事件及其响应机制研究。E-mail:pzhrenyt@163.com" ]
- 基金信息：
  
  云南省应用基础研究计划青年项目（202201AU070064）西南林业大学高层次人才启动项目（112105）中国科学院A类战略性先导科技专项（XDA19040504）云南省创新团队项目（202005AE160017）
- DOI：10.13870/j.cnki.stbcxb.2022.04.022
  中图分类号： K903
- 纸质出版：2022
- 稿件说明：
移动端阅览
任钇潼, 程清平, 金韩宇, 等. 轿子山国家级自然保护区气候变化特征及对NDVI的影响[J]. 水土保持学报, 2022,36(4):168-177.

REN Yitong, CHENG Qingping, JIN Hanyu, et al. Climate Change Characteristics of Jiaozishan National Nature Reserve and Its Impact on NDVI[J]. 2022, 36(4): 168-177.
任钇潼, 程清平, 金韩宇, 等. 轿子山国家级自然保护区气候变化特征及对NDVI的影响[J]. 水土保持学报, 2022,36(4):168-177. DOI： 10.13870/j.cnki.stbcxb.2022.04.022.

REN Yitong, CHENG Qingping, JIN Hanyu, et al. Climate Change Characteristics of Jiaozishan National Nature Reserve and Its Impact on NDVI[J]. 2022, 36(4): 168-177. DOI： 10.13870/j.cnki.stbcxb.2022.04.022.

摘要

轿子山国家级自然保护区保存有最完整的滇中高原植被与生境，是气候敏感性热点地区之一。采用一元线性回归、Pettitt突变检验、Spearman相关系数等方法识别1961—2019年气候要素和极端气候指数变化特征，1999—2016年归一化植被指数（NDVI）时空变化趋势特征及对极端气候指数的响应，旨在辨识轿子山植被变化特征及对极端气候变化的动态响应，以期为保护区的气候风险评估提供参考依据。结果表明：（1）全球变暖下，1961—2019年气候要素（平均气温、日照时间、风速、雾日）变化趋势显著，垂直温度带组合动态变化，2017—2019年基带由南亚热带转为北热带；（2）整体来看，1961—2019年极端气温指数变化率和突变点较极端降水指数显著；（3）1999—2016年NDVI增速随海拔升高降低，以海拔2 736，3 236 m为界，NDVI增长速率的变化率表现为"高—低—高"；（4） NDVImean、NDVImax、NDVImin对极端气温指数的相关性总体上强于极端降水指数，对暖指数、降水强度指数、极端降水日指数响应最为敏感；（5）如果（极端）气候变化超过植被耐受阈值，则可能抑制植被生长。鉴于未来气候变化的不确定性，有必要进一步识别极端气候变化对保护区NDVI的影响，加强保护区极端气候风险预警、监测和管控。

Abstract

Jiaozishan National Nature Reserve preserves the most complete vegetation and habitat of the central Yunnan Plateau

and is one of the hot spots with climate sensitivity. Univariate linear regression

Pettitt mutation test and Spearman correlation and other methods were used to analyze the change characteristics of climate elements and the extreme climate index from 1961 to 2019 in this area

as well as the temporal and spatial change trend characteristics of NDVI and its response to extreme climate index from 1999 to 2016. The aim was to study the climate change characteristics and the dynamic response of vegetation in Jiaozi Mountain

providing a reference for climate risk management in the reserve. The results showed that:(1) Global warming led to a significant change in the climate elements (average temperature

sunshine hours

wind speed and foggy day) from 1961 to 2019. The vertical temperature zones changed dynamically

and the baseband changed from a south subtropical zone to a north tropical zone in 2017-2019. (2) On the whole

the change rate and abrupt change point of the extreme temperature index from 1961 to 2019 were more significant than those of the extreme precipitation index. (3) From 1999 to 2016

the growth rate of NDVI decreased with the increasing of altitude. Taking the altitude of 2 736 m and 3 236 m as the boundary

the change rate of NDVI growth rate showed the trend of "high-low-high". (4) The correlation of NDVImean

NDVImax and NDVImin to extreme temperature index was stronger than that to extreme precipitation index

and NDVImean

NDVImax

NDVImin were most sensitive to warm index

precipitation intensity index and extreme precipitation day index. (5) If (extreme) climate change exceeds the vegetation tolerance threshold

vegetation growth might be inhibited. In view of the uncertainty of future climate change

it is necessary to further identify the impact of extreme climate change on NDVI in the reserve and strengthen the early warning

monitoring and control of extreme climate risk in the reserve.

关键词

Keywords

references

Shrestha N, Xu X, Meng J, et al. Vulnerabilities of protected lands in the face of climate and human footprint changes[J].Nature Communications, 2021, 12:e1632.

Gray C, Hill S, Newbold T, et al. Local biodiversity is higher inside than outside terrestrial protected areas worldwide[J].Nature Communications, 2016, 7:e12306.

安德帅, 徐丹丹, 濮毅涵, 等.2000-2019年武夷山亚高山草甸对气候因子的响应及其时滞效应[J].应用生态学报, 2021, 32(12):4195-4202.

张玉琴, 李丽纯, 彭继达, 等.武夷山国家自然保护区NDVI对坡度的响应[J].生态环境学报, 2020, 29(7):1310-1317.

宋超, 余琦殷, 邢韶华, 等.近30年河北大海陀自然保护区山地草甸植被(NDVI)变化及其对气候的响应[J].生态学报, 2018, 38(7):2547-2556.

张园, 袁凤辉, 王安志, 等.2001-2018年长白山自然保护区生长季NDVI变化特征及其对气候变化的响应[J].应用生态学报, 2020, 31(4):1213-1222.

李婷婷, 马超, 郭增长.2004-2015年贺兰山自然保护区植被NPP时空变化与气候响应[J].水土保持研究, 2020, 27(6):254-261.

杜军, 牛晓俊, 袁雷, 等.1971-2017年羌塘国家级自然保护区陆地生态环境变化[J].冰川冻土, 2020, 42(3):1017-1026.

Li H D, Jiang J, Chen B, et al. Pattern of NDVI-based vegetation greening along an altitudinal gradient in the eastern Himalayas and its response to global warming[J].Environmental Monitoring and Assessment, 2016, 188:e186.

肖云飞, 陈文业, 王斌杰, 等.祁连山国家级自然保护区土地利用时空变化及与气候因子关系研究[J].草地学报, 2021, 29(9):2049-2057.

李娟, 龚纯伟.祁连山国家公园植被覆盖变化地形分异效应[J].水土保持通报, 2021, 41(3):228-237.

Ma Y R, Guan Q Y, Sun Y F, et al. Three-dimensional dynamic characteristics of vegetation and its response to climatic factors in the Qilian Mountains[J].Catena, 2022, 208:e105694.

付建新, 曹广超, 郭文炯.1998-2017年祁连山南坡不同海拔、坡度和坡向生长季NDVI变化及其与气象因子的关系[J].应用生态学报, 2020, 31(4):1203-1212.

IPCC. Climate Change 2021:The physical science basis[R]. Cambridge:Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, 2021.

李海东, 沈渭寿, 刘海月, 等.我国自然保护区应对气候变化风险现状、问题与对策[J].世界林业研究, 2015, 28(5):68-72.

尹云鹤, 马丹阳, 邓浩宇, 等.中国北方干湿过渡区生态系统生产力的气候变化风险评估[J].地理学报, 2021, 76(7):1605-1617.

苏骅, 王平.轿子山国家级自然保护区垂直气候分区研究[J].林业调查规划, 2020, 45(6):59-62, 68.

东川市气象台.东川气候手册[M].云南东川:东川市气象台, 1977.

杨仲荣, 敖天元, 赵雍明.云南省东川市气象志[M].东川:东川市气象处, 1987.

东川市气象处.东川市农业气候资源及农业气候区划[M].东川:东川市气象处, 1987.

李兴尧, 李克纯, 曾艳, 等.禄劝彝族苗族自治县气象志[M].云南:云南人民出版社, 1997.

周旗, 张海宁, 任源鑫.1961-2016年渭河流域极端降水事件研究[J].地理科学, 2020, 40(5):833-841.

Pettitt A N. A non-parametric approach to the change-point problem[J].Journal of the Royal Statistical Society:Series C, 1979, 28:126-135.

Kruskal W H. Ordinal measures of association[J].Journal of the American Statistical Association, 1958, 53(284):814-861.

Zhang X B, Yang F. RClimDex(1.0), User manual[Z].Canada:ClimDex Research Branch Environment, 2004.

郑景云, 尹云鹤, 李炳元.中国气候区划新方案[J].地理学报, 2010, 65(1):3-12.

王宇.云南山地气候[M].昆明:云南科技出版社, 2005.

张善红, 白红英, 齐贵增, 等.1960-2019年秦岭气候带界限的变化研究[J].自然资源学报, 2021, 36(10):2491-2506.

杜军, 周刊社, 袁雷.1971-2018年西藏羌塘国家级自然保护区地表湿润指数的变化趋势[J].中国水土保持科学(中英文), 2021, 19(4):13-23.

Shao H, Zhang Y D, Gu F X, et al. Impacts of climate extremes on ecosystem metrics in southwest China[J].Science of the Total Environment, 2021, 776:e145979.

Guan Y, Cui W, Liu J, et al. Observed changes of Köppen climate zones based on high-resolution data sets in the Qinghai-Tibet Plateau[J].Geophysical Research Letters, 2021, 48(23):e2021GL096159.

Tao J, Xu T Q, Dong J W, et al. Elevation-dependent effects of climate change on vegetation greenness in the high mountains of southwest China during 1982-2013[J].International Journal of Climatology, 2018, 38(4):2029-2038.

Jiang S S, Chen X, Smettem K, et al. Climate and land use influences on changing spatiotemporal patterns of mountain vegetation cover in southwest China[J].Ecological Indicators, 2021, 121:e107193.

魏建瑛, 徐建英, 樊斐斐.卧龙自然保护区植被覆盖度变化及其对地形因子的响应[J].长江流域资源与环境, 2019, 28(2):440-449.

Tan J, Piao S, Chen A, et al. Seasonally different response of photosynthetic activity to daytime and night-time warming in the Northern Hemisphere[J].Global Change Biology, 2015, 21(1):377-387.

葛非凡, 毛克彪, 蒋跃林, 等.华东地区夏季极端高温特征及其对植被的影响[J].中国农业气象, 2017, 38(1):42-51.

王海军, 靳晓华, 李海龙, 等.基于GIS和RS的中国西北NDVI变化特征及其与气候变化的耦合性[J].农业工程学报, 2010, 26(11):194-203.

高滢, 孙虎, 徐崟尧, 等.陕西省植被覆盖时空变化及其对极端气候的响应[J].生态学报, 2022, 42(3):1022-1033.

Peng S, Piao S, Ciais P, et al. Asymmetric effects of daytime and night-time warming on Northern Hemisphere vegetation[J].Nature, 2013, 501:88-92.

Yin L, Dai E F, Zheng D, et al. What drives the vegetation dynamics in the Hengduan Mountain region, southwest China:Climate change or human activity?[J].Ecological Indicators, 2020, 112:e106013.

Wei O Y, Wan X Y, Xu Y, et al. Vertical difference of climate change impacts on vegetation at temporal-spatial scales in the upper stream of the Mekong River Basin[J].Science of the Total Environment, 2020, 701:e134782.

浏览量

941

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

2000—2020年青海河湟谷地植被NDVI时空变化及影响因素

气候变化及人类活动对黄河流域植被覆盖变化的影响

黄土高原植被NEP时空变化及对气温降水和退耕还林（草）的响应

青藏高原典型区1970—2025年切沟发育特征及其影响因素

纳帕海高原湿地土壤铁结合态有机碳随水位下降的分布特征