Forest and Grassland Resources Research >
Dynamic Change and Influencing Factors of Vegetation Cover over the Past 30 years in the Wutai Mountain Area
Received date: 2020-05-23
Revised date: 2020-07-14
Online published: 2022-10-13
Based on 25 Landsat remote sensing data sources from 1991 to 2020,the temporal and spatial characteristics of vegetation coverage and its influencing factors in Wutai Mountain were analyzed by binary pixel model,wavelet analysis and partial correlation analysis.The results showed that the FVC values in Wutai Mountain area showed an increasing trend on the whole,in which the mean value of FVC in Wutai County was the highest,and the FVC growth rate in Yuanping City was the highest.There were three main change cycles of 9,12,21 years to control the change of FVC in the whole time domain.The vegetation cover in the study area showed a spatial distribution pattern of "low in the west and high in the east",and the improved area of vegetation cover was much larger than the degraded area.The CV values of Wutai County showed a large negative deviation phenomenon when the altitude was lower than 2 400m,and a large positive deviation phenomenon when the altitude was higher than 2 400m.The FVC values of Fanshi County showed an order as follows:shade slope>sunny slope>half shade slope>half sunny slope;The peak values of FVC in each slope direction of Dai County and Yuanping City appeared in the altitude range of 1 600~2 000m.The negative deviation of CV values in Wutai County,Dai County and Yuanping City increased with the increase of slope.From 1980 to 2015,the mean value of partial correlation coefficient between FVC value and temperature was 0.14,and that between FVC value and precipitation was 0.05.In Wutai Mountain area,the area of forest land and construction land increased,while the area of cultivated land and grassland decreased to varying degrees from 1980 to 2015,and there were vegetation decline problems in human-active areas such as mining areas and scenic spots.
Tianchen REN , Junfeng CHEN , Nan LIU . Dynamic Change and Influencing Factors of Vegetation Cover over the Past 30 years in the Wutai Mountain Area[J]. Forest and Grassland Resources Research, 2022 , 0(4) : 89 -99 . DOI: 10.13466/j.cnki.lyzygl.2022.04.012
| [1] | 桂娟, 王旭峰, 李宗省, 等. 典型冰冻圈地区植被变化对人类活动的响应研究——以祁连山为例[J]. 冰川冻土, 2019, 41(5):1235-1243. |
| [2] | Dinka M O, Klik A. Effect of land use-land cover change on the regimes of surface runoff-the case of Lake Basaka catchment(Ethiopia)[J]. Environmental Monitoring and Assessment, 2019, 191(5):1-13. |
| [3] | 李卓, 孙然好, 张继超, 等. 京津冀城市群地区植被覆盖动态变化时空分析[J]. 生态学报, 2017, 37(22):7418-7426. |
| [4] | 胡砚霞, 黄进良, 杜耘, 等. 2000—2015年丹江口库区植被覆盖时空变化趋势及其成因分析[J]. 长江流域资源与环境, 2018, 27(4):862-872. |
| [5] | 周伟, 刚成诚, 李建龙, 等. 1982-2010年中国草地覆盖度的时空动态及其对气候变化的响应[J]. 地理学报, 2014, 69(1):15-30. |
| [6] | 李荣平, 周广胜, 张慧玲. 植物物候研究进展[J]. 应用生态学报, 2006, 17(3):541-544. |
| [7] | Aït-mesbah S, Dufresne J L, Cheruy F, et al. The role of thermal inertia in the representation of mean and diurnal range of surface temperature in semiarid and arid regions[J]. Geophysical Research Letters, 2015, 42(18):7572-7580. |
| [8] | Osvaldo E S, Laureano A G, Debra P C P. Enhanced precipitation variability effects on water losses and ecosystem functioning:differential response of arid and mesic regions[J]. Climatic Change, 2015, 131(2):213-227. |
| [9] | 刘泽, 陈建平. 基于Landsat-8影像数据的北京植被覆盖度时空特征与地形因子的关系[J]. 成都理工大学学报:自然科学版, 2022, 49(1):119-128. |
| [10] | Yao Rui, Cao Jin, Wang Lunche, et al. Urbanization effects on vegetation cover in major African cities during 2001-2017[J]. International Journal of Applied Earth Observation and Geoinformation, 2019, 75:44-53. |
| [11] | 米文宝, 刘小鹏, 王亚娟. 宁夏南部山区退耕还林还草后续产业发展的初步研究[J]. 水土保持研究, 2005, 12(1):91-94. |
| [12] | 赵丽红, 王屏, 欧阳勋志, 等. 南昌市植被覆盖度时空演变及其对非气候因素的响应[J]. 生态学报, 2016, 36(12):3723-3733. |
| [13] | 刘秀丽, 张勃, 杨艳丽, 等. 五台山地区森林生态系统服务功能价值评估[J]. 干旱区研究, 2017, 34(3):613-620. |
| [14] | 袁旸洋, 成玉宁, 李哲. 山地公园景观建筑参数化选址研究[J]. 中国园林, 2020, 36(12):24-28. |
| [15] | 罗正明, 刘晋仙, 暴家兵, 等. 五台山亚高山土壤真菌海拔分布格局与构建机制[J]. 生态学报, 2020, 40(19):7009-7017. |
| [16] | 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. |
| [17] | 牛莉芹, 程占红. 基于旅游开发影响的五台山植被景观特征分析[J]. 地理研究, 2019, 38(5):1162-1174. |
| [18] | 张晓龙, 邓清月, 秦浩, 等. 不同海拔梯度灌丛草甸群落多样性的分布特征——以五台山亚高山-高山带南坡为例[J]. 生态环境学报, 2020, 29(4):657-664. |
| [19] | 陈新凤. 五台山生态环境存在的问题及对策研究[J]. 五台山研究. 2007(2).41-44. |
| [20] | 李石华, 金宝轩, 周峻松, 等. 抚仙湖流域植被覆盖度时空分异及其与坡度的关系[J]. 地域研究与开发, 2017, 36(3):165-170. |
| [21] | 冯莉莉, 何贞铭, 刘学锋, 等. 基于MODIS-NDVI数据的吉林省植被覆盖度及其时空动态变化[J]. 中国科学院大学学报, 2014, 31(4):492-499. |
| [22] | 张世文, 宁汇荣, 许大亮, 等. 草原区露天煤矿植被覆盖度时空演变与驱动因素分析[J]. 农业工程学报, 2016, 32(17):233-241. |
| [23] | 王文圣, 丁晶, 李耀清. 水文小波分析[M]. 北京: 化学工业出版社, 2005. |
| [24] | Sandholt I, Rasmussen K, Andersen J. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status[J]. Remote Sensing of Environment, 2002, 79(2-3):213-224. |
| [25] | Yin Lichang, Wang Xiaofeng, Feng Xiaoming, et al. A Comparison of SSEBop-Model-Based evapotranspiration with eight evapotranspiration products in the Yellow River basin,China[J]. Remote Sensing, 2020, 12(16):2528. |
| [26] | Yin Lichang, Feng Xiaoming, Fu Bojie, et al. Irrigation water consumption of irrigated cropland and its dominant factor in China from 1982 to 2015[J]. Advance in water resources, 2020, 143:103661. |
| [27] | 吴志杰, 何国金, 黄绍霖, 等. 南方丘陵区植被覆盖度遥感估算的地形效应评估[J]. 遥感学报, 2017, 21(1):159-167. |
| [28] | Liu Xianfeng, Zhang Jinshui, Zhu Xiufang, et al. Spatiotemporal changes in vegetation coverage and its driving factors in the Three-River Headwaters Region during 2000-2011[J]. Acta Geographica Sinica, 2014, 24(2):288-302. |
| [29] | 郑海霞, 王月, 陈芬, 等. 五台山南台土壤重金属特征及污染风险评价[J]. 广西师范大学学报:自然科学版, 2018, 36(4):99-107. |
| [30] | 任瑞萍. 五台山风景名胜区旅游流空间结构研究[J]. 山地学报, 2020, 38(3):461-472. |
| [31] | 戴君虎, 潘嫄, 崔海亭, 等. 五台山高山带植被对气候变化的响应[J]. 第四纪研究, 2005(2):216-223. |
| [32] | 李红军, 郑力, 雷玉平, 等. 基于EOS/MODIS数据的NDVI与EVI比较研究[J]. 地理科学进展, 2007, 26(1):26-32. |
| [33] | 高艳珍, 郑庆荣, 罗淑政, 等. 五台山生态关联区生态足迹及承载力时空变化[J]. 桂林理工大学学报, 2020, 40(4):811. |
/
| 〈 |
|
〉 |
