2000—2020年宁夏植被生长季变化及其对人类活动的响应

doi:10.19657/j.geoscience.1000-8527.2024.078

现代地质 ›› 2025, Vol. 39 ›› Issue (02): 504-513.DOI: 10.19657/j.geoscience.1000-8527.2024.078

• 表生资源观测模拟与综合评价 • 上一篇下一篇

2000—2020年宁夏植被生长季变化及其对人类活动的响应

雒新萍¹^,²(), 刘晓煌¹(), 严宇翔¹^,³, 何振芳⁴, 邢莉圆¹, 王然¹

1.自然资源部自然资源要素耦合过程与效应重点实验室,中国地质调查局自然资源综合调查指挥中心,北京 100055
2.自然资源部地球化学探测重点实验室,中国地质科学院地球物理地球化学勘查研究所,河北廊坊 065000
3.中国地质大学(武汉)环境学院,湖北武汉 430074
4.聊城大学地理与环境学院,山东聊城 252000

出版日期:2025-04-10 发布日期:2025-05-08
通信作者: 刘晓煌,男,正高级工程师,1972年出生,地质学专业,主要从事自然资源观测方面的研究工作。Email: liuxh19972004@163.com。
作者简介:雒新萍,女,高级工程师,1983年出生,自然地理学专业,主要从事生态系统模拟与评估方面的研究工作。Email: LXP_830520@163.com。
基金资助:
中国地质调查局地质调查项目(DD20242543);中国地质调查局地质调查项目(DD20230112);中国地质科学院地球物理地球化学勘查研究所中央级公益性科研院所基本科研业务费专项资金资助项目(AS2022P03);山东省自然科学基金面上项目(ZR2021MD110)

Variation of Vegetation During the Growing Season and Its Response to Human Activities in Ningxia During 2000-2020

LUO Xinping¹^,²(), LIU Xiaohuang¹(), YAN Yuxiang¹^,³, HE Zhenfang⁴, XING Liyuan¹, WANG Ran¹

1. Key Laboratory of Coupling Process and Effect of Natural Resources Elements, Command Center for Natural Resources Comprehensive Survey, China Geological Survey, Beijing 100055, China
2. Key Laboratory of Geochemical Exploration, Institute of Geophysical and Geochemical Exploration, CAGS, Langfang, Hebei 065000, China
3. School of Environment, China University of Geosciences (Wuhan), Wuhan, Hubei 430074, China
4. School of Geography and Environment, Liaocheng University, Liaocheng, Shandong 252000, China

Published:2025-04-10 Online:2025-05-08

摘要/Abstract

摘要： 开展西北地区植被动态变化及其对人类活动的响应研究,对促进区域生态环境保护与修复和持续巩固深化生态建设成果具有重要意义。本文以2000—2020年MOD13Q1-NDVI影像和同期气象数据为数据源,综合运用趋势分析、相关分析和残差分析等方法定量分析宁夏回族自治区2000—2020年植被生长季NDVI动态变化趋势及其区域分异性,探讨植被NDVI变化对人类活动的响应。结果表明:近20多年宁夏植被生长季NDVI整体呈线性增加趋势,线性递增速率为0.008/a,植被区域分布差异性明显, 总体呈现出南北高、中间低的分布特征。植被呈现改善趋势的面积明显大于退化趋势的面积,植被显著增加和显著减少的区域所占面积比例分别为65.34%和3.05%。残差分析表明,人类活动对植被变化的平均贡献率约33%,近20年来植被NDVI残差和NDVI残差变化趋势的均值分别为0.17和0.007/a,表明人类活动对植被的正效应逐步增强,生态恢复工程是促进宁夏植被NDVI显著提高的重要因素。

关键词: 植被NDVI, 时空变化, NDVI残差, 宁夏

Abstract:

It is of great significance to research the dynamic variation of vegetation and its response to human activities in Northwest China, which can promote the protection and restoration of regional ecological environment, as well as continuously consolidating and deepening the achievements of ecological construction.Based on the MOD13Q1-NDVI data and meteorological data from 2000 to 2020, the dynamic variation of vegetation NDVI during the growing season in Ningxia were analyzed and its response to human activities were discussed in this paper using methods such as trend analysis, correlation analysis and residual analysis.The results showed that the vegetation NDVI during the growing season has exhibited an increase trend as a whole with a linear regression trend of 0.008 in recent 20 years.Also, the spatial distribution of vegetation NDVI shows significant regional differences, generally characterized by higher values in the southern and northern regions and lower values in the central area.The area with an improving vegetation trend is significantly larger than that with a degrading trend, with proportions of significantly increased and decreased vegetation NDVI areas being 65.34% and 3.05%, respectively.Residual analysis indicates that the average contribution rate of human activities to vegetation changes is approximately 33%.In the last 20 years, the mean values of NDVI residual and their trend are 0.17 and 0.007 per year, respectively, indicating that the positive effect of human activities on vegetation have gradually strengthened.Ecological restoration projects have played a crucial role in significantly enhancing the NDVI of vegetation in Ningxia.

Key words: vegetation NDVI, temporal and spatial variation, NDVI residual, Ningxia

中图分类号:

雒新萍, 刘晓煌, 严宇翔, 何振芳, 邢莉圆, 王然. 2000—2020年宁夏植被生长季变化及其对人类活动的响应[J]. 现代地质, 2025, 39(02): 504-513.

LUO Xinping, LIU Xiaohuang, YAN Yuxiang, HE Zhenfang, XING Liyuan, WANG Ran. Variation of Vegetation During the Growing Season and Its Response to Human Activities in Ningxia During 2000-2020[J]. Geoscience, 2025, 39(02): 504-513.

图/表 6

图1 研究区地形及气象站点分布图

Fig.1 Topographic map with weather stations in the study area

图2 2000—2020年宁夏植被生长季NDVI的年际变化

Fig.2 Inter-annual variations of NDVI in the growing season in Ningxia from 2000 to 2020

图3 2000—2020年宁夏年均植被NDVI空间分布图

Fig.3 Spatial distribution of annual averaged NDVI in Ningxia during 2000-2020

图4 2000—2020年宁夏植被NDVI空间变化趋势(a)及显著性检验(b)

Fig.4 Spatial variation trend of NDVI(a) and significance test(b) in Ningxia during 2000-2020

图5 2000—2020年宁夏植被NDVI残差(a)、变化速率(b)及人类活动贡献率(c)

Fig.5 NDVI residual(a), change rate(b) and contribution rate of human activities (c) in Ningxia during 2000-2020

图6 宁夏各城市不同距离缓冲区内植被NDVI(a)和残差(b)变化趋势

Fig.6 Change trend of NDVI(a) and residual(b) in the different distance of urban buffer zone in Ningxia

参考文献 32

[1]	PARMESAN C, YOHE G. A globally coherent fingerprint of climate change impacts across natural systems[J]. Nature, 2003, 421: 37-42.
[2]	郭铌. 植被指数及其研究进展[J]. 干旱气象, 2003, 21(4): 71-75.
[3]	XIAO J, MOODY A. Geographical distribution of global greening trends and their climatic correlates: 1982-1998[J]. International Journal of Remote Sensing, 2005, 26(11): 2371-2390.
[4]	ZHU Z C, PIAO S L, MYNENI R B, et al. Greening of the Earth and its drivers[J]. Nature Climate Change, 2016, 6: 791-795. DOI
[5]	ZHANG B W, CUI L L, SHI J, et al. Vegetation dynamics and their response to climatic variability in China[J]. Advances in Meteorology, 2017(1): 8282353.
[6]	刘宪锋, 朱秀芳, 潘耀忠, 等. 1982—2012年中国植被覆盖时空变化特征[J]. 生态学报, 2015, 35(16): 5331-5342.
[7]	LÜ Y H, ZHANG L W, FENG X M, et al. Recent ecological transitions in China: Greening, browning, and influential factors[J]. Scientific Reports, 2015, 5: 8732. DOI PMID
[8]	牟乐, 芦奕晓, 杨惠敏, 等. 1981—2015年中国西北牧区植被覆盖的时空变化[J]. 干旱区研究, 2018, 35(3): 615-623. DOI
[9]	郑朝菊, 曾源, 赵玉金, 等. 近15年中国西南地区植被覆盖度动态变化[J]. 国土资源遥感, 2017, 29(3): 128-136.
[10]	胡屾, 刘骏, 毛学刚. 中国东北地区2007—2010年植被覆盖度及其变化[J]. 东北林业大学学报, 2017, 45(7): 45-50.
[11]	成方妍, 刘世梁, 尹艺洁, 等. 基于MODIS NDVI的广西沿海植被动态及其主要驱动因素[J]. 生态学报, 2017, 37(3): 788-797.
[12]	赵婷, 白红英, 邓晨晖, 等. 2000—2016年秦岭山地植被覆盖变化地形分异效应[J]. 生态学报, 2019, 39(12): 4499-4509.
[13]	钱信禹, 边小卫, 张亚峰, 等. 丹江源地区地质建造对土壤和植被生态空间格局的影响[J]. 现代地质, 2023, 37(4): 903-913.
[14]	耿庆玲, 陈晓青, 赫晓慧, 等. 中国不同植被类型归一化植被指数对气候变化和人类活动的响应[J]. 生态学报, 2022, 42(9): 3557-3568.
[15]	王涛, 白红英. 秦岭山地植被NDVI对气候变化与人类活动的响应[J]. 山地学报, 2017, 35(6): 778-789.
[16]	LI H, ZHANG H Y, LI Q X, et al. Vegetation productivity dynamics in response to climate change and human activities under different topography and land cover in NorthEast China[J]. Remote Sensing, 2021, 13(5): 975.
[17]	FENG D R, FU M C, SUN Y Y, et al. How large-scale anthropogenic activities influence vegetation cover change in China? A review[J]. Forests, 2021, 12(3): 320.
[18]	刘亚群, 吕昌河, 傅伯杰, 等. 中国陆地生态系统分类识别及其近20年的时空变化[J]. 生态学报, 2021, 41(10): 3975-3987.
[19]	JU J C, MASEK J G. The vegetation greenness trend in Canada and US Alaska from 1984-2012 Landsat data[J]. Remote Sensing of Environment, 2016, 176: 1-16.
[20]	王倩, 金晓媚, 张绪财, 等. 河北省张承地区2001—2020年植被动态变化及驱动因素分析[J]. 现代地质, 2023, 37(4): 881-891.
[21]	张绪财, 金晓媚, 朱晓倩, 等. 格尔木河流域植被指数时空分布及其影响因素研究[J]. 现代地质, 2019, 33(2): 461-468.
[22]	LI Y, PIAO S L, LI L Z X, et al. Divergent hydrological response to large-scale afforestation and vegetation greening in China[J]. Science Advances, 2018, 4(5): eaar4182.
[23]	朱晗晖, 张宇, 沈晓燕, 等. 农牧交错带植被演变对区域气候影响的模拟[J]. 高原气象, 2018, 37(3): 721-733. DOI
[24]	赵卓文, 张连蓬, 李行, 等. 基于MOD13Q1数据的宁夏生长季植被动态监测[J]. 地理科学进展, 2017, 36(6): 741-752. DOI
[25]	潘金金, 任宗萍, 胥世斌, 等. 宁夏不同植被类型NDVI变化特征及其对气候的响应[J]. 地球科学与环境学报, 2023, 45(4): 819-832.
[26]	黄悦悦, 杨东, 冯磊. 2000—2016年宁夏植被覆盖度的时空变化及其驱动力[J]. 生态学杂志, 2019, 38(8): 2515-2523.
[27]	张元栋, 尚晓鹏, 杜芬玲, 等. 宁夏植被动态变化及其对降水的响应[J]. 西安科技大学学报, 2017, 37(1): 84-89.
[28]	李梦华, 韩颖娟, 赵慧, 等. 基于地理探测器的宁夏植被覆盖度时空变化特征及其驱动因子分析[J]. 生态环境学报, 2022, 31(7): 1317-1325. DOI
[29]	李欣, 王连喜, 李琪, 等. 宁夏近25年植被指数变化及其与气候的关系[J]. 干旱区资源与环境, 2011, 25(9):161-166.
[30]	章诞武, 丛振涛, 倪广恒. 基于中国气象资料的趋势检验方法对比分析[J]. 水科学进展, 2013, 24(4): 490-496.
[31]	李辉霞, 刘国华, 傅伯杰. 基于NDVI的三江源地区植被生长对气候变化和人类活动的响应研究[J]. 生态学报, 2011, 31(19): 5495-5504.
[32]	FU Y H, ZHAO H F, PIAO S L, et al. Declining global warming effects on the phenology of spring leaf unfolding[J]. Nature, 2015, 526(7571): 104-107.

2000—2020年宁夏植被生长季变化及其对人类活动的响应

Variation of Vegetation During the Growing Season and Its Response to Human Activities in Ningxia During 2000-2020

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 6

参考文献 32

相关文章 11

编辑推荐

Metrics

本文评价

[1]	孙玉芳, 金晓媚, 雪彦宏, 张勃, 朱薇, 徐兆祥. 宁夏平原鸣翠湖地表水与地下水转化关系[J]. 现代地质, 2024, 38(03): 744-754.
[2]	周雪妮, 肖成志, 刘磊, 计扬, 曹亚廷, 李小红, 巴仁基. 2000—2020年岷江上游干旱河谷区植被时空变化及其地形效应[J]. 现代地质, 2024, 38(03): 589-598.
[3]	朱丽亚, 胡克, 孙爽, 刘禹含, 梁佳欣. 基于InVEST模型的辽宁省海岸带碳储量时空变化研究[J]. 现代地质, 2022, 36(01): 96-104.
[4]	张立, 金晶泽, 姜侠, 毛龙, 崔玉军, 李瑛, 王恩宝. 1986—2019年黑龙江省松嫩平原表层土壤有机碳变化及固碳潜力估算[J]. 现代地质, 2021, 35(04): 914-922.
[5]	贺灵, 周国华, 孙彬彬, 简中华, 黄春雷, 康占军. 浙江省龙游县北部土壤中植物营养元素动态变化研究[J]. 现代地质, 2019, 33(05): 1055-1062.
[6]	张晓东, 刘湘南, 赵志鹏, 吴文忠, 刘海燕, 张勇, 高宇亮. 信息量模型、确定性系数模型与逻辑回归模型组合评价地质灾害敏感性的对比研究[J]. 现代地质, 2018, 32(03): 602-610.
[7]	代杰瑞, 庞绪贵, 董健, 王增辉, 喻超. 山东省土壤有机碳库及其时空变化特征[J]. 现代地质, 2017, 31(02): 386-393.
[8]	王雨山, 李戍, 孟莹, 程旭学. 宁夏清水河上游浅层地下水咸化作用研究[J]. 现代地质, 2017, 31(01): 191-199.
[9]	李玉超，余涛，杨忠芳，于成广，王诚煜. 辽宁盘锦市农田土壤重金属元素时空变化研究[J]. 现代地质, 2016, 30(6): 1294-1302.
[10]	陈立，张发旺，程彦培，蔺文静，陈江，张琳. 宁夏海原盆地地下水水化学特征及其演化规律[J]. 现代地质, 2009, 23(1): 9-14.
[11]	金晓媚,万力, 薛忠歧, 张雷. 宁夏地区水资源对植被生长的影响研究[J]. 现代地质, 2007, 21(4): 632-637.