基于ZGS和TW模型的长江流域植被NPP时空演变特征

徐勇; 周清华; 窦世卿; 郭振东; 吴杰峰; 郑志威

doi:10.13961/j.cnki.stbctb.2022.01.030

您当前的位置：

首页 >

文章列表页 >

基于ZGS和TW模型的长江流域植被NPP时空演变特征

试验研究

- 基于ZGS和TW模型的长江流域植被NPP时空演变特征
- Spatiotemporal Characteristics of Vegetation Net Primary Productivity in Yangtze River Basin Based on ZGS and Thornthwaite Memorial Models
- 水土保持通报 2022年42卷第1期页码：225-232
- 作者机构：
  
  1. 桂林理工大学测绘地理信息学院,广西,桂林,541006
  2. 玉林市福绵区自然资源技术信息中心,广西,玉林,537000
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目“球面空间下的矢量要素与DEM的同步综合方法研究，”(42061059);广西八桂学者专项项目;广西自然科学资助项目(2020GXNSFBA297160);广西空间信息与测绘重点实验室资助课题(191851016);桂林理工大学科研启动资助项目(GUTQDJJ2019172);2021年大学生创新创业训练计划项目(202110596006)。
- DOI：10.13961/j.cnki.stbctb.2022.01.030
  中图分类号： Q948
- 纸质出版：2022
- 稿件说明：
移动端阅览
徐勇, 周清华, 窦世卿, 等. 基于ZGS和TW模型的长江流域植被NPP时空演变特征[J]. 水土保持通报, 2022,42(1):225-232.

Xu Yong, Zhou Qinghua, Dou Shiqing, et al. Spatiotemporal Characteristics of Vegetation Net Primary Productivity in Yangtze River Basin Based on ZGS and Thornthwaite Memorial Models[J]. Bulletin of Soiland Water Conservation, 2022, 42(1): 225-232.
徐勇, 周清华, 窦世卿, 等. 基于ZGS和TW模型的长江流域植被NPP时空演变特征[J]. 水土保持通报, 2022,42(1):225-232. DOI： 10.13961/j.cnki.stbctb.2022.01.030.

Xu Yong, Zhou Qinghua, Dou Shiqing, et al. Spatiotemporal Characteristics of Vegetation Net Primary Productivity in Yangtze River Basin Based on ZGS and Thornthwaite Memorial Models[J]. Bulletin of Soiland Water Conservation, 2022, 42(1): 225-232. DOI： 10.13961/j.cnki.stbctb.2022.01.030.

摘要

[目的

]

研究长江流域陆地植被生态系统初级净生产力(NPP)的时空演变特征，为政府部门建立和调整生态功能恢复项目提供参考。[方法

]

以长江流域为研究区，基于2000—2019年的降水和气温数据，采用周广胜—张新时模型(ZGS)和Thornthwaite Memorial (TM)模型估算NPP，并进一步利用皮尔逊相关分析、一元线性回归分析、Mann-Kendall显著性检验等，对比分析长江流域陆地植被生态系统NPP时空演变特征。[结果

]

①基于上述两个模型模拟得到的长江流域NPP时空演变趋势基本一致，相关系数R为0.982，呈现显著正相关关系；②2000—2019年长江流域陆地植被生态系统实际NPP与潜在NPP均呈上升趋势，上升速率分别为6.85，2.74 g/(m

·a)。③长江流域实际NPP和潜在NPP在空间上呈东南高西北低的分布格局，低值区域主要分布在草地生态系统；高值区域大部分分布在森林生态系统和农田生态系统。④2000—2019年长江流域实际NPP与潜在NPP呈上升趋势的面积分别占研究区总面积的80.65%和84.81%，主要分布在云南、青海、西藏、四川北部及浙江、上海大部分区域；呈下降趋势的面积分别占研究区总面积的19.35%和15.19%，主要分布在河南、湖北等地区。[结论

]

2000—2019年来长江流域各植被生态系统植被NPP均呈上升趋势。长江流域自然资源管理和环境保护政策在促进生态系统保护与发展方面成效显著。

Abstract

[Objective] The temporal and spatial evolution characteristics of net primary productivity (NPP) of the terrestrial vegetation ecosystem in the Yangtze River basin were studied to provide a reference for government departments to establish and adjust ecological function restoration projects. [Methods] The Zhou Guangsheng-Zhang Xinshi model (ZGS) and the Thornthwaite Memorial model were used to estimate NPP in the Yangtze River basin based on precipitation and temperature data from 2000 to 2019. Furthermore

Pearson correlation coefficient

linear regression analysis

and the Mann-Kendall trend test were applied to analyze the spatiotemporal variation of vegetation NPP of terrestrial ecosystems in the Yangtze River basin. [Results] ① The spatial and temporal variation of NPP derived from the above two models were basically homogeneous in the Yangtze River basin. Actual NPP and potential NPP were positively correlated (0.982). ② Both actual NPP and potential NPP in the Yangtze River basin increased over time at a rate of 6.85 g/(m2·yr) and 2.74 g/(m2·yr)

respectively

from 2000 to 2019. ③ Actual NPP and potential NPP were higher in the southeast and lower in the northwest portions of the Yangtze River basin. The low values were mainly distributed in grassland ecosystems

and the high values were mostly distributed in forest ecosystems and farmland ecosystems. ④ The areas with increasing trends for actual NPP accounted for 80.64% of the total area

and 84.79% of the total area for potential NPP in the Yangtze River basin

mainly distributed in Yunnan

Qinghai

Tibet

the north of Sichuan

and most regions of Zhejiang and Shanghai. The areas with decreasing trends actual NPP accounted for 19.36% of the total area and 15.19% of the total area for potential NPP in the Yangtze River basin

mainly distributed in He’nan and Hubei Province. [Conclusion] The NPP of vegetation ecosystems in the Yangtze River basin has increased in the past 20 years

indicating that natural resource management and environmental protection policy implementation in the Yangtze River basin has produced remarkable positive effects on regional ecosystem protection and development.

关键词

Keywords

references

李辉,红英,邓国荣,等.1982-2015年气候变化和人类活动对内蒙古草地净初级生产力的影响[J].应用生态学报,2021,32(2):415-424.

Chen Yizhao, Chen Leyin, Cheng Yuan, et al. Afforestation promotes the enhancement of forest LAI and NPP in China[J]. Forest Ecology and Management, 2020,462:117990.

王芳,汪左,张运.2000-2015年安徽省植被净初级生产力时空分布特征及其驱动因素[J].生态学报,2018,38(8):2754-2767.

Yin Le, Dai Erfu, Zheng Du, et al. What drives the vegetation dynamics in the Hengduan Mountain region, Southwest China:Climate change or human activity?[J]. Ecological Indicators, 2020,112:106013.

Chen Tao, Bao Anming, Jiapaer G, et al. Disentangling the relative impacts of climate change and human activities on arid and semiarid grasslands in Central Asia during 1982-2015[J]. Science of the Total Environment, 2019,653:1311-1325.

周广胜,周莉.生态气象:起源、概念和展望[J].科学通报,2021,66(2):210-218.

Ge Wenyan, Deng Liqiang, Wang Fei, et al. Quantifying the contributions of human activities and climate change to vegetation net primary productivity dynamics in China from 2001 to 2016[J]. Science of the Total Environment, 2021,773:145648.

黄磊,吴传清.深化长江经济带生态环境治理[N].中国社会科学报,2021(3):1-2.

Qu Sai, Wang Lunche, Lin Aiwen, et al. What drives the vegetation restoration in Yangtze River basin, China:Climate change or anthropogenic factors?[J]. Ecological Indicators, 2018,90:438-450.

孙金珂,牛海鹏,袁鸣.中国陆地植被生态系统NPP空间格局变迁分析[J].农业机械学报,2020,51(6):162-168.

周广胜,张新时.全球气候变化的中国自然植被的净第一性生产力研究[J].植物生态学报,1996,20(1):11-19.

李振杰,段长春,金莉莉,等.云南省气候生产潜力的时空变化[J].应用生态学报,2019,30(7):2181-2190.

徐勇,黄雯婷,靖娟利,等.京津冀地区植被NDVI动态变化及其与气候因子的关系[J].水土保持通报,2020,40(5):319-327.

王晓芳,汪小康,徐桂荣.2010年长江中游梅雨期β中尺度系统环境特征的分析[J].高原气象,2013,32(3):750-761.

邹红梅,陈新国.2010年与1998年长江流域洪水对比分析[J].水利水电快报,2011,32(5):15-17,27.

樊建华,曹正池.2010年长江九江段洪水分析[J].江西水利科技,2011,37(3):171-173.

Xu Xibao, Jiang Bo, Chen Minkun, et al. Strengthening the effectiveness of nature reserves in representing ecosystem services:The Yangtze River Economic Belt in China[J]. Land Use Policy, 2020,96:104717.

Wang Jianyu, Delang C O, Hou Guolong, et al. Net primary production increases in the Yangtze River basin within the latest two decades[J]. Global Ecology and Conservation, 2021,26:e01497.

杨庆媛,汪军,王锡桐,等.云南省金沙江流域生态环境建设的问题与对策研究:长江上游生态屏障建设重点地区调查报告之一[J].西南师范大学学报(自然科学版),2003,28(3):487-491.

刘世梁,田韫钰,尹艺洁,等.云南省植被NDVI时间变化特征及其对干旱的响应[J].生态学报,2016,36(15):4699-4707.

朱若柠,沈文娟,张亚丽,等.基于时间序列MODIS-VCF数据的云南省森林覆盖变化及破碎化分析[J].南京林业大学学报(自然科学版),2019,43(2):184-190.

苗茜,黄玫,李仁强.长江流域植被净初级生产力对未来气候变化的响应[J].自然资源学报,2010,25(8):1296-1305.

Running S W, Thornton P E, Nemani R, et al. Global terrestrial gross and net primary productivity from the earth observing system[M]//Methods in Ecosystem Science. New York:Springer, 2000:44-57.

张凤英,张增信,田佳西,等.长江流域森林NPP模拟及其对气候变化的响应[J].南京林业大学学报(自然科学版),2021,45(1):175-181.

孙治娟,谢世友.基于地理探测器的云南省净初级生产力时空演变及因子探测[J/OL].生态学杂志:1-16[2021-08-22]. https://doi.org/10.13292/j.1000-4890.202111.033.

车风,黄国清,刘韬,田艳红,徐庆华,邹秀琼,聂荔.2004-2015年湖北省植被NPP时空分布特征及其与气候因素关系[J].水土保持研究,2019,26(6):198-204,225.

浏览量

590

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

厄尔尼诺/拉尼娜事件对长江流域气候的影响研究

石羊河流域植被生态系统生态风险评价研究

冀西北地区不同生态系统枯落物的水文效应

湖北省湿地生态系统的服务价值评估

冻融循环条件下伊犁地区滑坡黄土湿陷特性及微观机理