白洋淀流域植被净初级生产力时空变化及驱动因素

闫丰; 李晨阳; 鲁志雪; 黄雪寒; 庞娇; 刘鑫; 陈亚恒

doi:10.13961/j.cnki.stbctb.2024.02.035

您当前的位置：

首页 >

文章列表页 >

白洋淀流域植被净初级生产力时空变化及驱动因素

试验研究

- 白洋淀流域植被净初级生产力时空变化及驱动因素
- Spatial and Temporal Succession and Driving Factors of Vegetation Net Primary Productivity in Baiyangdian Watershed
- 水土保持通报 2024年44卷第2期页码：345-353
- 作者机构：
  
  1. 河北农业大学国土资源学院,河北,保定,071000
  2. 河北省农田生态环境重点实验室,河北,保定,071001
  3. 河北农业大学渤海学院, 河北黄骅,061100
- 作者简介：
- 基金信息：
  
  河北省省属高等学校基本科研业务费项目“白洋淀上游流域植被覆盖时空格局演变及驱动机制研究”(KY2022062)
- DOI：10.13961/j.cnki.stbctb.2024.02.035
  中图分类号： TP79;Q948.15
- 纸质出版：2024
- 稿件说明：
移动端阅览
闫丰, 李晨阳, 鲁志雪, 等. 白洋淀流域植被净初级生产力时空变化及驱动因素[J]. 水土保持通报, 2024,44(2):345-353.

Yan Feng, Li Chenyang, Lu Zhixue, et al. Spatial and Temporal Succession and Driving Factors of Vegetation Net Primary Productivity in Baiyangdian Watershed[J]. Bulletin of Soiland Water Conservation, 2024, 44(2): 345-353.
闫丰, 李晨阳, 鲁志雪, 等. 白洋淀流域植被净初级生产力时空变化及驱动因素[J]. 水土保持通报, 2024,44(2):345-353. DOI： 10.13961/j.cnki.stbctb.2024.02.035.

Yan Feng, Li Chenyang, Lu Zhixue, et al. Spatial and Temporal Succession and Driving Factors of Vegetation Net Primary Productivity in Baiyangdian Watershed[J]. Bulletin of Soiland Water Conservation, 2024, 44(2): 345-353. DOI： 10.13961/j.cnki.stbctb.2024.02.035.

摘要

[目的

]

评估白洋淀流域长时间序列植被生长状况及驱动机制，为进一步保护雄安新区生态环境质量提供理论支撑。 [方法

]

基于2007—2020年NASA MOD17A3H的NPP数据，运用趋势分析、变异系数、Hurst指数、地理探测器等方法，探究白洋淀流域植被NPP的时空分异、变化趋势及驱动因素。 [结果

]

①白洋淀流域植被年均NPP值在217.1～357.6 g/(m

·a)之间变化，在空间上呈现西北部山区较高，东南部平原区较低的分布规律； ②超过80%的研究区域植被NPP具有明显波动性，其中西北山区和东南平原波动性最强； ③绝大部分植被NPP随年份呈增加趋势，并且由东南至西北，从不显著增加逐渐过渡到显著增加状态； ④研究区内，西北部地区为Hurst指数小于0.5的反向持续性区域，未来植被NPP可能会出现增加趋势减缓的问题，西南地区为正向持续区，未来变化趋势良好； ⑤研究区植被NPP空间分异的主导驱动因素为温度、人口、第三产业等，双因子交互作用的影响力明显高于单因子，其中降水和温度的交互作用最强。 [结论

]

2007—2020年，白洋淀流域植被NPP逐渐增强，温度虽是影响NPP空间分异的主要驱动因素，但社会因素发挥的作用在逐渐增强。

Abstract

[Objective] The long-term vegetation growth status and driving mechanism in the Baiyangdian watershed were assessed in order to provide theoretical support for further protection of the ecological environmental quality in the Xiongan New Area. [Methods] Based on the net primary productivity (NPP) data of NASA MOD17A3H from 2007 to 2020

we used trend analysis

coefficient of variation

Hurst index

and geographical detector to investigate the spatial and temporal variability of vegetation NPP

change trends

and driving factors in the Baiyangdian basin. [Results] ① The mean annual NPP values for vegetation in the Baiyangdian basin varied from 217.1 to 357.6 g/(m2·a)

with a spatial distribution pattern of higher in the northwestern mountainous areas and lower in the southeastern plains; ② More than 80% of the vegetation NPP in the study area had obvious fluctuations

with the strongest fluctuations in the northwestern mountainous areas and the southeastern plains; ③The vast majority of vegetation NPP tended to increase over the years

and gradually transitioned from a non-significant to a significant increase from southeast to northwest; ④ Within the study area

the north-western region was a reverse persistence area with Hurst index less than 0.5. Future vegetation NPP may have the problem of slowing down the increasing trend. The southwestern region was a positive persistence area with a favorable trend of future changes; ⑤ The dominant drivers of vegetation NPP spatial differentiation in the study area were temperature

population

tertiary industry

etc. The influence of the two-factor interaction was significantly higher than that of a single factor

with the strongest interaction between precipitation and temperature. [Conclusions] During 2007—2020

the vegetation NPP in the Baiyangdian Basin has gradually increased. Although temperature was the main driving factor affecting the spatial differentiation of NPP

the role played by social factors has been gradually increasing.

关键词

Keywords

references

冯婉,谢世友.长江流域片2000-2015年植被NPP时空特征及影响因子探测[J].水土保持研究,2022,29(1):176-183. Feng Wan, Xie Shiyou. Spatiotemporal characteristics and influencing factors of vegetation NPP in the Yangtze River Basin from 2000 to 2015[J]. Research of Soil and Water Conservation, 2022,29(1):176-183.

梁程,苏惠敏,张伊琳,等.2000-2019年关中平原城市群植被NPP时空变化及影响因素[J].水土保持研究,2023,30(4):293-300. Liang Cheng, Su Huimin, Zhang Yilin, et al. Spatiotemporal changes and influencing factors of net primary productivity of Guanzhong Plain city cluster from 2000 to 2019[J]. Research of Soil and Water Conservation, 2023,30(4):293-300.

徐勇,黄海艳,戴强玉,等.西南地区陆地植被生态系统NPP时空演变及驱动力分析[J].环境科学,2023,44(5):2704-2714. Xu Yong, Huang Haiyan, Dai Qiangyu, et al. Spatial-temporal variation in net primary productivity in terrestrial vegetation ecosystems and its driving forces in Southwest China[J]. Environmental Science,2023,44(5):2704-2714.

兰小丽,孙慧兰,许玉凤.贵州植被NPP时空格局及其对气候变化的响应[J].安徽农学通报,2020,26(18):162-166. Lan Xiaoli, Sun Huilan, Xu Yufeng. Spatial and temporal pattern of vegetation NPP variations in Guizhou and its response to climate change[J]. Anhui Agricultural Science Bulletin, 2020,26(18):162-166.

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. Zhao Miaomiao, Liu Yi, Yang Jilin, 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.

Peng Changhui, Apps M J. Modelling the response of net primary productivity (NPP) of boreal forest ecosystems to changes in climate and fire disturbance regimes[J]. Ecological Modelling, 1999,122(3):175-193.

Lieth H. Modeling the primary productivity of the world[M]. Berlin, Heidelberg:Primary Productivity of the Biosphere, 1975.237-263.

刘恒,汤弟伟,宋鄂平,等.2000-2015年武陵山区植被净初级生产力的时空动态特征及其驱动因子[J].水土保持研究,2020,27(6):218-225. Liu Heng, Tang Diwei, Song Eping, et al. Spatiotemporal dynamics of vegetation net primary productivity and its driving factors in Wuling Mountainous area during 2000-2015[J]. Research of Soil and Water Conservation, 2020,27(6):218-225.

夏冰,马鹏宇,徐聪,等.近20年黄河流域植被净初级生产力时空分布及其对极端天气变化的时空响应[J].水土保持研究,2023,30(2):256-266. Xia Bing, Ma Pengyu, Xu Cong, et al. Spatiotemporal variation of NPP and its response to extreme climate indices in Yellow River basin in recent 20 years[J]. Research of Soil and Water Conservation, 2023,30(2):256-266.

Cramer W, Kicklighter D W, Bondeau A, et al. Comparing global models of terrestrial net primary productivity (NPP):Overview and key results[J]. Global Change Biology, 1999,5(S1):1-15.

杜波波,阿拉腾图娅,包刚,等.基于CASA模型模拟锡林郭勒草原净初级生产力[J].水土保持研究,2021,28(5):293-300. Du Bobo, A L, Bao Gang, et al. Simulation of net primary productivity of Xilingol grassland based on CASA model[J]. Research of Soil and Water Conservation, 2021,28(5):293-300.

王丽霞,丁慧兰,刘招,等.基于CASA模型探究泾河流域植被NPP时空动态及其对气候变化的响应[J].水土保持研究,2022,29(1):190-196. Wang Lixia, Ding Huilan, Liu Zhao, et al. Spatiotemporal change of NPP based on CASA model and its response to climate change in Jing River basin[J]. Research of Soil and Water Conservation, 2022,29(1):190-196.

陈晓杰,张长城,张金亭,等.基于CASA模型的植被净初级生产力时空演变格局及其影响因素:以湖北省为例[J].水土保持研究,2022,29(3):253-261. Chen Xiaojie, Zhang Changcheng, Zhang Jinting, et al. Analysis of the spatiotemporal evolution patterns of vegetation net primary productivity and its influencing factors based on CASA model:A case study of Hubei Province[J]. Research of Soil and Water Conservation, 2022,29(3):253-261.

郭睿妍,田佳,杨志玲,等.基于GEE平台的黄河流域森林植被净初级生产力时空变化特征[J].生态学报,2022,42(13):5437-5445. Guo Ruiyan, Tian Jia, Yang Zhiling, et al. Spatio-temporal variation characteristics of forest net primary productivity in the Yellow River Basin based on Google Earth Engine cloud platform[J]. Acta Ecologica Sinica, 2022,42(13):5437-5445.

黄端,甘家亮,胡辉,等.赣江流域植被NPP时空演变及其驱动因子研究[J].测绘科学,2023,48(6):119-130. Huang Duan, Gan Jialiang, Hu Hui, et al. Temporal and spatial evolution of NPP and the impact of driving factors in the Ganjiang River basin[J]. Science of Surveying and Mapping, 2023,48(6):119-130.

冯椰林.乌江流域植被NPP时空变化及影响因素研究[D].贵州贵阳:贵州师范大学,2023. Feng Yelin. Temporal and spatial variation of vegetation NPP and its influencing factors in Wujiang River basin[D]. Guiyang, Guizhou:Guizhou Normal University, 2023.

任晓强,管孝艳,陶园,等.白洋淀流域水环境风险评估综述[J].中国农村水利水电,2021(1):22-27. Ren Xiaoqiang, Guan Xiaoyan, Tao Yuan, et al. Review of water environment risk assessment in Baiyangdian Basin[J]. China Rural Water and Hydropower, 2021(1):22-27.

黄斌斌,李若男,李睿达,等.雄安新区上游白洋淀流域水质净化提升目标下的生态恢复格局优化[J].生态学报,2020,40(20):7143-7152. Huang Binbin, Li Ruonan, Li Ruida, et al.Optimization of ecological restoration pattern targeted for water purification improvement in the Baiyangdian watershed, Xiong'an New Area[J]. Acta Ecologica Sinica, 2020,40(20):7143-7152.

金芳芳.西南山区生态特征的变化及其与人类活动的关系[D].河南开封:河南大学,2018. Jin Fangfang. The change of ecological characteristics of mountainous areas of Southwest China and its relationship with human activities[D]. Kaifeng, Henan:Henan University, 2018.

于静,高亚敏,贾宁,等.科尔沁草地NPP时空变化特征其对气候的响应研究[C]//中国环境科学学会2022年科学技术年会论文集(二).南昌,2022:605-613. Yu Jing, Gao Yamin, Jia Ning, et al. Study on Temporal and spatial variation of NPP in Horqin grassland and its response to climate[C]//Proceedings of the 2022 Annual Science and Technology Conference of the Chinese Society for Environmental Sciences (Ⅱ). Nanchang, China, 2022:605-613.

李佳洺,陆大道,徐成东,等.胡焕庸线两侧人口的空间分异性及其变化[J].地理学报,2017,72(1):148-160. Li Jiaming, Lu Dadao, Xu Chengdong, et al. Spatial heterogeneity and its changes of population on the two sides of Hu Line[J]. Acta Geographica Sinica, 2017,72(1):148-160.

Stow D, Daeschner S, Hope A, et al. Spatial-temporal trend of seasonally-integrated normalized difference vegetation index as an indicator of changes in Arctic tundra vegetation in the early 1990s[C]//IGARSS 2001. Scanning the Present and Resolving the Future.Proceedings.IEEE 2001 International Geoscience and Remote Sensing Symposium. Sydney, NSW,Australia. IEEE,2001:181-183.

Rao A R, Bhattacharya D. Hypothesis testing for long-term memory in hydrologic series[J]. Journal of Hydrology, 1999,216(3/4):183-196.

马苏,崔国屹,赵玉,等.植被NPP时空变化特征及驱动因子分析:以延安地区为例[J].中国农学通报,2022,38(19):93-98. Ma Su, Cui Guoyi, Zhao Yu, et al. Spatial-temporal variation characteristics of NPP and the driving factors:A case study of Yan'an[J]. Chinese Agricultural Science Bulletin, 2022,38(19):93-98.

潘洪义,黄佩,徐婕.基于地理探测器的岷江中下游地区植被NPP时空格局演变及其驱动力研究[J].生态学报,2019,39(20):7621-7631. Pan Hongyi, Huang Pei, Xu Jie. The spatial and temporal pattern evolution of vegetation NPP and its driving forces in middle-lower areas of the Min River based on geographical detector analyses[J]. Acta Ecologica Sinica, 2019,39(20):7621-7631.

庞静.基于地理探测器模型的自然和人为因素对植被变化的影响[D].山西太原:山西大学,2016. Pang Jin. Geographical detector-based identifying the impact of natural and human factors on vegetation changes[D]. Taiyuan, Shanxi:Shanxi University,2016.

杨星星,杨云川,邓思敏,等.基于SPEI的广西干旱综合特征及农业旱灾风险研究[J].水土保持研究,2020,27(4):113-121. Yang Xingxing, Yang Yunchuan, Deng Simin, et al. Research on drought characteristics and agricultural drought risk assessment in Guangxi based on SPEI[J]. Research of Soil and Water Conservation, 2020,27(4):113-121.

黄悦悦.2000-2018年华北平原植被净初级生产力时空分布及其驱动因素研究[D].甘肃兰州:西北师范大学,2020. Huang Yueyue. Spatial-temporal distribution and driving factorsof vegetation net primary productivity in North China Plain from 2000 to 2018[D]. Lanzhou, Gansu:Northwest Normal University, 2020.

Tum M, Zeidler J N, Günther K P, et al. Global NPP and straw bioenergy trends for 2000-2014[J]. Biomass and Bioenergy, 2016,90:230-236.

Li Jun, Wang Zhaoli, Lai Chengguang, et al. Response of net primary production to land use and land cover change in China's mainland since the late 1980s[J]. Science of the Total Environment, 2018,639:237-247.

朱文泉,潘耀忠,何浩,等.中国典型植被最大光利用率模拟[J].科学通报,2006,51(6):700-706. Zhu Wenquan, Pan Yaozhong, He Hao, et al. Simulation of maximum light utilization efficiency of typical vegetation in China[J]. Chinese Science Bulletin, 2006,51(6):700-706.

李登科,王钊.基于MOD17A3的中国陆地植被NPP变化特征分析[J].生态环境学报,2018,27(3):397-405. Li Dengke, Wang Zhao. The characteristics of NPP of terrestrial vegetation in China based on MOD17A3 data[J]. Ecology and Environmental Sciences, 2018,27(3):397-405.

谷晓平,黄玫,季劲钧,等.近20年气候变化对西南地区植被净初级生产力的影响[J].自然资源学报,2007,22(2):251-259. Gu Xiaoping, Huang Mei, Ji Jinjun, et al. The influence of climate change on vegetation net primary productivity in Southwestern China during recent 20 years period[J]. Journal of Natural Resources, 2007,22(2):251-259.

黄晓云,林德根,王静爱,等.气候变化背景下中国南方喀斯特地区NPP时空变化[J].林业科学,2013,49(5):10-16. Huang Xiaoyun, Lin Degen, Wang Jing'ai, et al. Temporal and spatial NPP variation in the karst region in South China under the background of climate change[J]. Scientia Silvae Sinicae, 2013,49(5):10-16.

盛叶子,曾蒙秀,林德根,等.2000-2014年人类活动对贵州省植被净初级生产力的影响[J].中国岩溶,2020,39(1):62-70. Sheng Yezi, Zeng Mengxiu, Lin Degen, et al. Impacts of human activities on net primary productivity of vegetation in Guizhou Province from 2000 to 2014[J]. Carsologica Sinica,2020,39(1):62-70.

王钊,李登科.2000-2015年陕西植被净初级生产力时空分布特征及其驱动因素[J].应用生态学报,2018,29(6):1876-1884. Wang Zhao,Li Dengke.Spatial-temporal distribution of vegetation net primary productivity and its driving factors from 2000 to 2015 in Shaanxi, China[J]. Chinese Journal of Applied Ecology, 2018,29(6):1876-1884.

吴艳艳,吴志峰,余世孝.定量评价人类活动对净初级生产力的影响[J].应用生态学报,2017,28(8):2535-2544. Wu Yanyan, Wu Zhifeng, Yu Shixiao. Quantitative assessment of the impacts of human activities on net primary productivity[J]. Chinese Journal of Applied Ecology, 2017,28(8):2535-2544.

浏览量

340

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

青海省2000—2024年生态环境质量演变及其驱动因素

气候和土地利用变化对白洋淀流域土壤保持功能的影响

河南省黄河流域耕地NPP时空变化特征及其驱动因子

江西省耕地的动态变化及驱动因子

潞安矿区净初级生产力和土地覆被变化及成因