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自然资源遥感  2023, Vol. 35 Issue (2): 245-254    DOI: 10.6046/zrzyyg.2022070
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
浙江省植被生态质量时空变化及其驱动因素分析
方贺1(), 张育慧1, 何月1(), 李正泉1, 樊高峰1, 徐栋2, 张春阳3, 贺忠华1
1.浙江省气候中心,杭州 310051
2.北京师范大学遥感科学国家重点实验室,北京 100875
3.衢州市气象台,衢州 324000
Spatio-temporal variations of vegetation ecological quality in Zhejiang Province and their driving factors
FANG He1(), ZHANG Yuhui1, HE Yue1(), LI Zhengquan1, FAN Gaofeng1, XU Dong2, ZHANG Chunyang3, HE Zhonghua1
1. Zhejiang Climate Center, Hangzhou 310051, China
2. State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China
3. Quzhou Meteorological Observatory, Quzhou 324000, China
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摘要 

浙江省是“两山”理论的发源地,同时也是我国第一个生态省,研究该区域植被生态质量状况对生态文明建设具有重要的参考价值。该文结合多源遥感数据与气象观测资料,探究了浙江省2000—2020年植被生态质量的时空变化及其对气候因子与人类活动的响应。结果表明: ①2000—2020年,浙江省净初级生产力(net primary productivity,NPP)和植被覆盖度(fractional vegetation cover,FVC)呈上升趋势,植被“绿度”显著提升; ②2000—2020年,浙江省植被生态环境质量呈波动上升趋势,且山地区域的植被生态质量指数(vegetation ecological quality index,VEQI)明显高于盆地和平原地区; ③浙江省2000—2020年间VEQI变化的主导驱动因素是人类活动,仅在浙江省西南小部分区域气候因子占据主导因素。研究结果加深了对浙江省植被生态质量时空变化及其驱动因素的认识,对浙江省甚至全国其他地区的生态文明建设具有重要意义。

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方贺
张育慧
何月
李正泉
樊高峰
徐栋
张春阳
贺忠华
关键词 生态遥感净初级生产力植被MODIS    
Abstract

Zhejiang Province is both the birthplace of the theory that both the mountain of gold and silver and the lushmountain with lucid waters are required (also known as the Two Mountains theory) and the first ecological province in China. The study on the vegetation ecological quality of Zhejiang can be used as an important reference for the construction of ecological civilization. Based on multi-source remote sensing data and meteorological observation data, this study investigated the spatio-temporal variations of vegetation ecological quality in Zhejiang during 2000—2020, as well as their response to climate factors and human activities. The results show that: ① Both the fractional vegetation cover (FVC) and the net primary production (NPP) in Zhejiang showed an upward trend during 2000—2020, with significantly increased vegetation greenness; ② The vegetation eco-environmental quality in Zhejiang showed a fluctuating upward trend during 2000—2020, with the vegetation ecological quality indices (VEQIs) of mountainous areas significantly higher than those of basin and plain areas; ③ The dominant factor driving the VEQI variations in Zhejiang during 2000—2020 is human activities, while climate factors occupied a dominant position only in some areas of southwestern Zhejiang. This study deepens the understanding of the spatio-temporal variations of vegetation ecological quality in Zhejiang and their driving factors and, thus, is of great significance for the construction of ecological civilization in Zhejiang and even other regions in China.

Key wordsecology    remote sensing    net primary production    vegetation    MODIS
收稿日期: 2022-03-03      出版日期: 2023-07-07
ZTFLH:  TP79  
基金资助:浙江省气象局科技项目“高分系列卫星遥感影像处理及业务化应用研究”(2021YB07);浙江省气象局科技项目“浙江近海赤潮与金潮遥感识别及其暴发气象驱动模型构建”(2022ZD06);浙江省“尖兵”“领雁”研发攻关计划“重大自然灾害监测预警与风险防控技术、装备研发及应用示范-浙江省森林火灾动态监测预警和风险防控关键技术研究与应用示范”(2023C03190);浙江省自然科学基金项目“东海近海多源SAR影像风场反演及风能资源评估”(LQ21D060001);中国气象局卫星专项项目“山地生态气象遥感应用系统”(FY-3(03)-AS-12.13)
通讯作者: 何 月,女(1981-),硕士,高级工程师,研究方向为城市和植被生态遥感。Email: heyue0925@163.com
作者简介: 方 贺,男(1990-),博士,高级工程师,研究方向为植被和海洋生态遥感。Email: fanghe_doc@163.com
引用本文:   
方贺, 张育慧, 何月, 李正泉, 樊高峰, 徐栋, 张春阳, 贺忠华. 浙江省植被生态质量时空变化及其驱动因素分析[J]. 自然资源遥感, 2023, 35(2): 245-254.
FANG He, ZHANG Yuhui, HE Yue, LI Zhengquan, FAN Gaofeng, XU Dong, ZHANG Chunyang, HE Zhonghua. Spatio-temporal variations of vegetation ecological quality in Zhejiang Province and their driving factors. Remote Sensing for Natural Resources, 2023, 35(2): 245-254.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/zrzyyg.2022070      或      https://www.gtzyyg.com/CN/Y2023/V35/I2/245
Fig.1  浙江省2020年土地覆盖和数字高程及气象站点分布
Fig.2  2000—2020年浙江省植被NDVI和覆盖度趋势
Fig.3  浙江省2000—2020年FVC均值和改善率空间分布
Fig.4  2000—2020年浙江省植被NPP变化趋势
Fig.5  2000—2020年浙江省植被NPP均值和变化趋势空间分布
Fig.6  2000—2020年浙江省VEQI变化趋势
Fig.7  2000—2020年浙江省VEQI均值和变化趋势
Fig.8  不同年份模拟VEQI和观测VEQI散点图
Fig.9  浙江省VEQI变化驱动力因素分析
[1] Chen C, Park T J, Wang X H, et al. China and India lead in greening of the world through land-use management[J]. Nature Sustainability, 2019(2):122-129.
doi: 10.1038/s41893-019-0220-7 pmid: 30778399
[2] Zuo L J, Zhang Z X, Carlson K M, et al. Progress towards sustainable intensification in China challenged by land-use change[J]. Nature Sustainability, 2018(1):304-313.
[3] Ahrends A, Hollingsworth P M, Beckschafer P, et al. China’s fight to halt tree cover loss[C]// Proceedings of the Royal Society Biological Sciences, 2017, 284(1854):20162559.
[4] Xu D, Yang F, Yu L, et al. Quantization of the coupling mechanism between eco-environmental quality and urbanization from multisource remote sensing data[J]. Journal of Cleaner Production, 2021, 321:128948.
doi: 10.1016/j.jclepro.2021.128948
[5] Guo E, Liu X, Zhang J, et al. Assessing spatiotemporal variation of drought and its impact on maize yield in northeast China[J]. Journal of Hydrology, 2017:231-247.
[6] 赵苗苗, 刘熠, 杨吉林, 等. 基于HASM的中国植被NPP时空变化特征及其与气候的关系[J]. 生态环境学报, 2019, 28(2):215-225.
doi: 10.16258/j.cnki.1674-5906.2019.02.001
Zhao M M, Liu Y, Yang J L, et al. Spatio-temporal patterns of NPP and its relations to climate in China based on HASM[J]. Ecology and Environmental Sciences, 2019, 28(2):215-225.
[7] 李登科, 王钊. 退耕还林后陕西省植被覆盖度变化及其对气候的响应[J]. 生态学杂志, 2020, 39(1):1-10.
Li D K, Wang Z. Changes of fractional vegetation coverage after returning farmland to forests and its response to climate in Shaanxi[J]. Chinese Journal of Ecology, 2020, 39(1),1-10.
[8] 贾俊鹤, 刘会玉, 林振山. 中国西北地区植被NPP 多时间尺度变化及其对气候变化的响应[J]. 生态学报, 2019, 39(14) :5058-5069.
Jia J H, Liu H Y, Lin Z S. Multi-time scale changes of vegetation NPP in six provinces of northwest China and their responses to climate change[J]. Acta Ecologica Sinica, 2019, 39(14) :5058-5069.
[9] Liu C, Dong X, Liu Y. Changes of NPP and their relationship to climate factors based on the transformation of different scales in Gansu,China[J]. Catena, 2015, 125:190-199.
doi: 10.1016/j.catena.2014.10.027
[10] 陈舒婷, 郭兵, 杨飞, 等. 2000—2015年青藏高原植被NPP时空变化格局及其对气候变化的响应[J]. 自然资源学报, 2020, 35(10):2511-2527.
doi: 10.31497/zrzyxb.20201016
Chen S t, Guo F, Yang F, et al. Spatial and temporal patterns of NPP and its response to climate change in the Qinghai-Tibet Plateau from 2000 to 2015[J]. Journal of Natural Resources, 2020, 35(10):2511-2527.
doi: 10.31497/zrzyxb.20201016
[11] 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.
Zhou W, Gang C C, Li J L, et al. Spatial-temporal dynamics of grassland coverage and its response to climate change in China during 1982—2010[J]. Acta Geographica Sinica, 2014, 69(1):15-30.
[12] 郭永强, 王乃江, 褚晓升, 等. 基于Google Earth Engine分析黄土高原植被覆盖变化及原因[J]. 中国环境科学, 2019, 039(11):4804-4811.
Guo Y Q, Wang N J, Chu X S, et al. Analyzing vegetation coverage changes and its reasons on the Loess Plateau based on Google Earth Engine[J]. China Environmental Science, 2019, 39(11):4804-4811.
[13] Liu H Y, Zhang M Y, Lin Z S, et al. Spatial heterogeneity of the relationship between vegetation dynamics and climate change and their driving forces at multiple time scales in southwest China[J]. Agricultural and Forest Meteorology, 2018, 256:10-21.
[14] 毛留喜, 李朝生, 侯英雨, 等. 2006年上半年全国生态气象监测与评估研究[J]. 气象, 2006(11):105-112.
Mao L X, Li C S, Hou Y Y, et al. China Meteorologically-driven ecological monitoring and assessment in the first half of 2006[J]. Meteorological Monthly, 2006(11):105-112.
[15] 毛留喜, 钱拴, 侯英雨, 等. 2006年夏季川渝高温干旱的生态气象监测与评估[J]. 气象, 2007(3):83- 88,132-133.
Mao L X, Qian S, Hou Y Y, et al. Study on the meteorologically-driven ecological monitoring and assessment of high temperature and drought of Sichuan-Chongqing area in summer 2006[J]. Meteorological Monthly, 2007(3):83-88,132-133.
[16] 钱拴, 毛留喜, 侯英雨, 等. 北方草地生态气象综合监测预测技术及其应用[J]. 气象, 2008(11):62-68.
Qian S, Mao L X, Hou Y Y, et al. Technology and application of ecology meteorological synthetic monitoring and predicting for northern grassland in China[J]. Meteorological Monthly, 2008(11):62-68.
[17] 吴宜进, 赵行双, 奚悦, 等. 基于MODIS的2006—2016年西藏生态质量综合评价及其时空变化[J]. 地理学报, 2019, 74(7):1438-1449.
doi: 10.11821/dlxb201907012
Wu Y J, Zhao X S, Xi Y, et al. Comprehensive evaluation and spatial-temporal changes of eco-environmental quality based on MODIS in Tibet during 2006—2016[J]. Acta Geographic Sinica, 2019, 74(7):1438-1449.
[18] 杨绘婷, 徐涵秋. 基于遥感空间信息的武夷山国家级自然保护区植被覆盖度变化与生态质量评估[J]. 应用生态学报, 2020, 31(2):187-196.
Yang H T, Xu H Q. Assessing fractional vegetation cover changes and ecological quality of the Wuyi Mountain National Nature Reserve based on remote sensing spatial information[J]. Chinese Journal of Applied Ecology, 2020, 31(2):187-196
[19] 李洪伟. 浙江省植被覆盖的时空变化研究[D]. 金华: 浙江师范大学, 2010.
Li H W. Study on the spatial-temporal change of vegetation in Zhejiang Province[D]. Jinhua: Zhejiang Normal University, 2010.
[20] 高大伟, 张小伟, 蔡菊珍, 等. 浙江省植被覆盖时空动态及其与生态气候指标的关系[J]. 应用生态学报, 2010(6):171-175.
Gao D W, Zhang X W, Cai J Z, et al. Spatiotemporal variations of vegetation cover in Zhejiang Province and their relations to ecoclimatic indices[J]. Chinese Journal of Applied Ecology, 2010(6):171-175.
[21] 何月, 樊高峰, 张小伟, 等. 浙江省植被NDVI 动态及其对气候的响应[J]. 生态学报, 2012, 32(14) :4352-4362.
He Y, Fan G F, Zhang X W, et al. Variation of vegetation NDVI and its response to climate change in Zhejiang Province[J]. Acta Ecologica Sinica, 2012, 32(14) :4352-4362.
doi: 10.5846/stxb
[22] 钱拴, 延昊, 吴门新, 等. 植被综合生态质量时空变化动态监测评价模型[J]. 生态学报, 2020, 40(18):6573-6583.
Qian S, Yan H, Wu M X, et al. Dynamic monitoring and evaluation model for spatio-temporal change of comprehensive ecological quality of vegetation[J]. Acta Ecologica Sinica, 2020, 40(18):6573-6583.
[23] 曹云, 钱永兰, 孙应龙, 等基于MODIS NDVI 的西南森林植被时空变化特征及其气候响应分析[J]. 生态环境学报, 2020, 29(5):857-865.
doi: 10.16258/j.cnki.1674-5906.2020.05.001
Cao Y, Qian Y L, Sun Y L, et al. Spatial-temporal variations of forest vegetation and climatic driving force analysis in southwest China based on MODIS NDVI and climate data[J]. Ecology and Environmental Sciences, 2020, 29(5):857-865.
[24] Yan H, Wang S Q, Billesbach D, et al. Improved global simulations of gross primary product based on a new definition of water stress factor and a separate treatment of C3 and C4 plants[J]. Ecological Modelling, 2015, 297:42-59.
doi: 10.1016/j.ecolmodel.2014.11.002
[25] 金凯, 王飞, 韩剑桥, 等. 1982—2015年中国气候变化和人类活动对植被NDVI变化的影响[J]. 地理学报, 2020, 75(5):75-88.
Jin K, Wang F, Han J Q, et al. Contribution of climatic change and human activities to vegetation NDVI change over China during 1982—2015[J]. Acta Geographica Sinica, 2020, 75(5):75-88.
[26] 田智慧, 任祖光, 魏海涛. 2000—2020年黄河流域植被时空演化驱动机制[J]. 环境科学, 2022, 43(2):743-751.
Tian Z H, Ren Z G, Wei H T. Driving mechanism of the spatiotemporal evolution of vegetation in the Yellow River basin from 2000 to 2020[J]. Environmental Science, 2022, 43(2):743-751.
doi: 10.1021/es801135v
[27] 顾羊羊, 邹长新, 乔旭宁, 等. 2000—2015年黔西南州植被覆盖时空变化及影响因素分析[J]. 生态与农村环境学报, 2021, 37(11):1413-1422.
Gu Y Y, Zou C X, Qiao X N, et al. Spatio-temporal variations of fractional vegetation coverage and influencing factors in Qianxinan Prefecture from 2000 to 2015[J]. Journal of Ecology and Rural Environment, 2021, 37(11) :1413-1422.
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