高原鼠兔干扰与高寒草甸退化的时空耦合关系

赵健赟; 姜传礼; 李国荣; 高崇越; 王志超; 温兰冲

doi:10.13961/j.cnki.stbctb.2023.05.025

您当前的位置：

首页 >

文章列表页 >

高原鼠兔干扰与高寒草甸退化的时空耦合关系

试验研究

- 高原鼠兔干扰与高寒草甸退化的时空耦合关系
- Spatiotemporal Coupling Relationship Between Plateau Pika Disturbance and Alpine Meadow Degradation
- 水土保持通报 2023年43卷第5期页码：212-219
- 作者机构：
  
  1. 青海大学地质工程系,青海,西宁,810016
  2. 青藏高原北缘新生代资源环境重点实验室,青海,西宁,810016
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目“多维立体观测下黄河源鼠兔干扰与高寒草甸退化的耦合关系研究”(42161068);青海省科技厅项目“黄河源区极端气候变化对高寒草地生态系统的影响机制研究”(2021-ZJ-743)
- DOI：10.13961/j.cnki.stbctb.2023.05.025
  中图分类号： S812.6
- 纸质出版：2023
- 稿件说明：
移动端阅览
赵健赟, 姜传礼, 李国荣, 等. 高原鼠兔干扰与高寒草甸退化的时空耦合关系[J]. 水土保持通报, 2023,43(5):212-219.

Zhao Jianyun, Jiang Chuanli, Li Guorong, et al. Spatiotemporal Coupling Relationship Between Plateau Pika Disturbance and Alpine Meadow Degradation[J]. Bulletin of Soiland Water Conservation, 2023, 43(5): 212-219.
赵健赟, 姜传礼, 李国荣, 等. 高原鼠兔干扰与高寒草甸退化的时空耦合关系[J]. 水土保持通报, 2023,43(5):212-219. DOI： 10.13961/j.cnki.stbctb.2023.05.025.

Zhao Jianyun, Jiang Chuanli, Li Guorong, et al. Spatiotemporal Coupling Relationship Between Plateau Pika Disturbance and Alpine Meadow Degradation[J]. Bulletin of Soiland Water Conservation, 2023, 43(5): 212-219. DOI： 10.13961/j.cnki.stbctb.2023.05.025.

摘要

[目的] 高原鼠兔是青藏高原高寒草甸生态系统的关键物种。分析鼠兔活动与草甸退化之间的耦合关系，为进一步完善高原鼠兔干扰强度观测体系，提供更加全面、科学的鼠兔活动调查数据。[方法] 本研究利用无人机对地观测与深度学习构建了一种鼠兔干扰强度观测与分级方法，并利用景观指数和耦合度模型开展了时空变化分析。[结果] ①ResNet-101残差网络模型提取鼠丘秃斑的精度可达92.7%。2019年研究区鼠兔干扰微度和轻度面积占总面积的82.0%，2021年中度及以上干扰强度占62.5%。2019—2021年鼠兔干扰明显、显著和极度增强的面积占43.0%。②2019，2021年高寒草甸植被均以中度退化为主，2019—2021年中度退化转变为重度退化的面积占30.2%，植被覆盖度出现显著降低的面积占7.7%。③研究区景观以单一方向变化为秃斑，景观类型向更加聚集、规则、单一化的方向转变，秃斑景观的优势度显著上升。④2019—2021年研究区大部分区域的耦合度增加，鼠兔干扰与高寒草甸间的相互作用增强。[结论] 研究区高原鼠兔干扰强度显著变大，植被覆盖度降低，景观逐步向秃斑类型转变，高寒草甸在高原鼠兔干扰下退化趋势明显，二者的耦合作用逐步增强，有必要采取更加积极的防治、恢复措施。

Abstract

[Objective] Plateau pika (Ochotona curzoniae) is a key species in the alpine meadow ecosystem of the Qinghai-Xizang Plateau. The coupling relationship between pika activity and meadow degradation was analyzed in order to further improve the observation system of plateau pika interference intensity and to provide more comprehensive and scientific investigation data of plateau pika activity. [Methods] An observation and grading system for alpine pika disturbance intensity (PDI) was constructed using observational data from an unmanned aerial vehicle (UAV) and deep learning methods. Spatial-temporal variation analysis was conducted using a landscape index and a coupling degree model to clarify the coupling relationship between pika and meadow degradation. [Results] ①The accuracy of the ResNet-101 model for extracting bald patches on pika mounds reached 92.7%. Slight and light pika disturbance areas accounted for 82.0% of the total area in 2019

and the moderate and high disturbance intensity areas accounted for 62.5% of the total area in 2021. The area with significantly increased PDI from 2019 to 2021 accounted for 43.0% of the total area. ②Alpine meadow vegetation was predominantly classified as moderately degraded in 2019 and 2021. From 2019 to 2021

30.2% of the area shifted to moderately degraded to severely degraded

and 7.7% of the area experienced a significant decrease in vegetation cover. ③The landscape of the study area transformed to bald patches in a single direction

and the landscape type became more aggregated

regular

and homogenized. The dominance of bald patches in the landscape increased significantly. ④The coupling degree was increased in most regions increased from 2019 to 2021

and the interaction between plateau pika disturbance and alpine meadow degradation was enhanced from 2019 to 2021. [Conclusion] The intensity of plateau pika disturbance in the study area increased from 2019 to 2020

vegetation coverage decreased

and the landscape gradually transformed to bald patches. The alpine meadow degraded under plateau pika disturbance. The coupling effect between plateau pika disturbance and alpine meadow degradation has gradually increased

and it is therefore necessary to take more active prevention and restoration measures.

关键词

Keywords

references

王莺,李耀辉,孙旭映.气候变化对黄河源区生态环境的影响[J].草业科学,2015,32(4):539-551.

Shao Quanqin, Cao Wei, Fan Jiangwen, et al. Effects of an ecological conservation and restoration project in the Three-River Source Region, China [J]. Journal of Geographical Sciences, 2017,27(2):183-204.

尚占环,董全民,施建军,等.青藏高原“黑土滩”退化草地及其生态恢复近10年研究进展:兼论三江源生态恢复问题[J].草地学报,2018,26(1):1-21.

Yao Tandong, Wu Fuyan, Ding Lin, et al. Multispherical interactions and their effects on the Tibetan Plateau's earth system: a review of the recent researches [J]. National Science Review, 2015,2(4):468-488.

Pech R P, Arthur A D, Zhang Yanming, et al. Population dynamics and responses to management of plateau pikas Ochotona curzoniae [J]. Journal of Applied Ecology, 2007,44(3):615-624.

Wangdwei M, Steele B, Harris R B. Demographic responses of plateau pikas to vegetation cover and land use in the Tibet Autonomous Region, China [J]. Journal of Mammalogy, 2013,94(5):1077-1086.

Yi Shuhua, Chen Jianjun, Qin Yu, et al. The burying and grazing effects of plateau pika on alpine grassland are small: a pilot study in a semiarid basin on the Qinghai-Tibet Plateau [J]. Biogeosciences, 2016,13(22):6273-6284.

Yi Shuhua, Cao Wenda, Zhang Jianguo, et al. Research progress on plateau pika dynamic distribution in the context of climate change and human activities [J]. Journal of Nantong University (Natural Science Edition), 2020,19(4):16-30.

Sun Feida, Chen Wenye, Liu Lin, et al. The density of active burrows of plateau pika in relation to biomass allocation in the alpine meadow ecosystems of the Tibetan Plateau [J]. Biochemical Systematics and Ecology, 2015,58:257-264.

刘菊梅,司万童.高原鼠兔种群密度与草场植被群落结构的相关性[J].南方农业学报,2012,43(12):2083-2086.

刘碧颖,王毅,刘苗,等.三江源草地植被群落与土壤性质对不同鼠兔密度的响应[J].草业科学,2019,36(4):1105-1116.

Liu Yanshu, Fan Jiangwen, Shi Zhongjie, et al. Relationships between plateau pika (

Ochotona curzoniae

) densities and biomass and biodiversity indices of alpine meadow steppe on the Qinghai-Tibet Plateau China [J]. Ecological Engineering, 2017,102:509-518.

张海娟,谢久祥,李希来.青海河南县高原鼠兔的分布及其与土壤特性的相关性分析[J].青海大学学报(自然科学版),2016,34(1):14-21.

索效荣,齐苑辰.基于SIFT算法的无人机航空遥感影像匹配[J].测绘科学,2012,37(1):89-91.

He Kaiming, Zhang Xiangyu, Ren Shaoqing, et al. Deep residual learning for image recognition[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). June 27-30,2016, Las Vegas, NV, USA. IEEE, 2016:770-778.

Chen L C, Papandreou G, Kokkinos I, et al. DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018,40(4):834-848.

Gong Mengyi, Miller C, Scott M, et al. State space functional principal component analysis to identify spatiotemporal patterns in remote sensing lake water quality [J]. Stochastic Environmental Research and Risk Assessment, 2021,35(12):2521-2536.

Hung C H, Chiou Huamin, Yang Weining. Candidate groups search for K-harmonic means data clustering [J]. Applied Mathematical Modelling, 2013,37(24):10123-10128.

赵健赟,张晓华,张波,等.基于Landsat的三江源区植被覆盖时空变化分析[J].人民黄河,2018,40(7):68-72.

邬建国.景观生态学:格局、过程、尺度与等级[M].2版.北京:高等教育出版社,2007.

Sun Yifang, Wang Ninglian. Development and correlations of the industrial ecology in China's Loess Plateau: a study based on the coupling coordination model and spatial network effect [J]. Ecological Indicators, 2021,132:108332.

宜树华,曹文达,张建国,等.气候变化和人类活动背景下高原鼠兔动态分布预估研究进展[J].南通大学学报(自然科学版),2020,19(4):16-30.

Zhao Jianyun, Jiang Chuanli, Liu Wenhui, et al. Pika disturbance intensity observation system via multidimensional stereoscopic surveying for monitoring alpine meadow [J]. Journal of Applied Remote Sensing, 2022,16(4):044524.

刘文玲,马育军,吴艺楠,等.青海湖流域高原鼠兔扰动对土壤养分及微生物量碳氮的影响[J].北京师范大学学报(自然科学版),2018,54(2):254-260.

陈莹莹,李捷,周俗,等.高原鼠兔影响高寒草甸生态系统服务价值的评价方法[J].草业科学,2022,39(1):187-201.

根呷羊批,周俗,杨孔,等.高原鼠兔干扰对川西北高寒草甸植物群落及土壤物理性状的影响[J].草原与草坪,2022,42(1):38-48.

卫万荣.高原鼠兔种群密度及植被群落结构与捕食风险的关系[J].草地学报,2019,27(2) 350-355.

He Qianyun, Wang Xiaoyi, Luo Gai, et al. Spatial pattern of plateau pika burrows under different grazing modes [J]. Acta Theriologica Sinica, 2021,41(1):431-440.

Li Kai, Migmar W. Analysis on the influence of environmental factors on the distribution of plateau pika(

Ochotona curzoniae

) [J]. Plateau Scientific Research, 2019,8(3):15-20.

杜嘉星,宜树华,秦彧,等.青海省河南蒙古族自治县高原鼠兔洞口空间分布格局及其成因研究[J].安徽农业大学学报,2019,46(3):415-419.

赵健赟,彭军还.基于MODIS NDVI的青海高原植被覆盖时空变化特征分析[J].干旱区资源与环境,2016,30(4):67-73.

吴倩倩,米玛旺堆.高原鼠兔(

Ochotona curzoniae

)占域与高山植物物种多样性之间的相关性[J].高原科学研究,2020,4(2):48-53.

孙飞达,龙瑞军,路承香.高原鼠兔不同洞穴密度对高寒草地植物群落组成及多样性的影响[J].干旱区资源与环境,2010,24(7):181-186.

徐海鹏,于成,舒朝成,等.高原鼠兔干扰对高寒草甸植物群落多样性和稳定性的影响[J].草业学报,2019,28(5):90-99.

潘璇,米玛旺堆.高原鼠兔生态学研究进展[J].生态学杂志,2016,35(9):2537-2543.

宋梓涵,李希来,李杰霞,等.高原鼠兔跑道对高寒草甸退化斑块扩大与连通的影响[J].生态学杂志,2020,39(10):3276-3284.

曾鹂,赵燕兰,彭云煦,等.高原鼠兔扰动作用下高寒沙化草地土壤特性变化特征[J].草原与草业,2018,30(1):50-53.

才文代吉,谢先福,张静,等.高原鼠兔鼠丘覆压对鼠丘上植被重建的影响研究[J].草地学报,2019,27(6):1615-1621.

浏览量

776

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

融合时空注意力机制的土壤湿度预测方法

基于深度学习算法的山地植物多样性空间分布格局模拟

廊坊市土地利用与区域经济空间耦合关系

农村土地整治与美丽乡村建设的耦合关系——以南京市11个项目区为例

陕西省靖边县农村土地整治项目与美丽乡村建设耦合关系研究