2000—2020年陕西省陆地生态系统NPP时空变化与潜力

汪晓珍; 呼海涛; 吴建召; 上官周平; 邓蕾

doi:10.13870/j.cnki.stbcxb.2024.03.010

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2000—2020年陕西省陆地生态系统NPP时空变化与潜力

更新时间：2025-03-12

- 2000—2020年陕西省陆地生态系统NPP时空变化与潜力
- Spatial and Temporal Variation and Potential of NPP in Terrestrial Ecosystems in Shaanxi Province from 2000 to 2020
- 水土保持学报 2024年38卷第3期页码：325-334
- 作者机构：
  
  1. 西北农林科技大学黄土高原土壤侵蚀与旱地农业国家重点实验室, 陕西杨凌,712100
  2. 陕西省林业调查规划院,西安,710000
  3. 中国科学院水利部水土保持研究所, 陕西杨凌,712100
- 作者简介：
  
  [ "汪晓珍(1995—),女,在读博士研究生,主要从事生态系统服务研究。E-mail:wxzbw@nwafu.edu.cn" ]
- 基金信息：
  
  国家自然科学基金项目(U2243225)
- DOI：10.13870/j.cnki.stbcxb.2024.03.010
  中图分类号： X171.1
- 纸质出版：2024
- 稿件说明：
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汪晓珍, 呼海涛, 吴建召, 等. 2000—2020年陕西省陆地生态系统NPP时空变化与潜力[J]. 水土保持学报, 2024,38(3):325-334.

WANG Xiaozhen, HU Haitao, WU Jianzhao, et al. Spatial and Temporal Variation and Potential of NPP in Terrestrial Ecosystems in Shaanxi Province from 2000 to 2020[J]. 2024, 38(3): 325-334.
汪晓珍, 呼海涛, 吴建召, 等. 2000—2020年陕西省陆地生态系统NPP时空变化与潜力[J]. 水土保持学报, 2024,38(3):325-334. DOI： 10.13870/j.cnki.stbcxb.2024.03.010.

WANG Xiaozhen, HU Haitao, WU Jianzhao, et al. Spatial and Temporal Variation and Potential of NPP in Terrestrial Ecosystems in Shaanxi Province from 2000 to 2020[J]. 2024, 38(3): 325-334. DOI： 10.13870/j.cnki.stbcxb.2024.03.010.

摘要

[目的] 在“双碳”战略实施背景下

准确评估陆地生态系统固碳现状、速率与潜力对实现“碳中和”目标意义重大。陕西省横跨3个气候带

南北气候差异大

植被类型丰富。近年来

由于多项生态工程(退耕还林还草、三北防护林等)的实施

陕西省植被覆盖度进一步提升至60.7%

固碳能力巨大。陆地生态系统NPP(植被净初级生产力)是反映植被固碳能力的重要指标

然而

关于陕西省NPP的时空动态变化

以及NPP未来潜力的空间分布鲜有研究。[方法] 以陕西省陆地生态系统为研究对象

利用CASA模型和邻域相似空间分布法评估陕西省植被NPP及其潜力的时空分布特征。[结果] (1)陕西省植被总固碳量在2000年和2020年分别为687

1 020 Tg

增加333 Tg

增幅为48.5%。(2)陕西省NPP呈南高北低

中间存在最高值或最低值的空间分布态势

平均值在2000年和2020年分别为333.2

494.8 gC/m2

共增加161.6 gC/m2

增加幅度呈北高南低的分布态势。(3)陕西省生态系统NPP的实际最大潜力为2 304 Tg

相比于2020年增加41.3%

空间分布态势表现为由南到北逐渐降低

且空间分布特征均表现高度空间自相关特性

但局部差异较大。[结论] 陕西省植被总固碳量在2000—2020年显著增加

同时

未来植被固碳潜力巨大。评估和预测陕西省区域尺度生态系统NPP时空动态变化及潜力空间分布特征

可为科学评价提升区域碳汇能力提供一定的评价体系和理论参考。

Abstract

[Objective] In the context of the "dual-carbon" goal

accurately assessing the status

rate and potential of carbon sequestration in terrestrial ecosystems is crucial for achieving "carbon neutrality". Shaanxi Province

which spans three climatic zones and have a large difference in climate between north and south

with abundant vegetation types. In recent years

the vegetation coverage in Shaanxi has been further improved due to the implementation of various ecological projects (Grain for Green

Three-North Shelterbelt

etc.). Its vegetation coverage reaches up to 60.7%

what resulted in huge carbon sequestration capacity. Net primary productivity (NPP)

as one of the most important indicators to reflect the carbon sequestration capacity of vegetation

there are few studies on spatial and temporal dynamic changes of NPP and the spatial distribution of NPP potential in the future in Shaanxi province. [Methods] Based on these

we evaluated the temporal and spatial distribution characteristics of vegetation NPP and its potential in Shaanxi province through the CASA model and the neighborhood similarity spatial distribution method. [Results] (1) Total carbon sequestration by vegetation increased by 333 Tg

with an increase of 48.5% from 2000 to 2020 in Shaanxi province. (2) NPP was higher in the south and lower in the north

with the highest or lowest value in the middle. The average value in 2000 and 2020 were 333.2 g C/m2 and 494.8 g C/m2

respectively

with a total increasement of 161.6 g C/m2

and the increase amplitude showed a distribution trend of high in the north and low in the south in Shaanxi. (3) The carbon sequestration potential was 2 304 Tg which increased by 41.30% compared with the 2020. The spatial distribution trend was gradually decreasing from south to north

and the spatial distribution characteristics showed high spatial autocorrelation characteristics

but the local differences were large. [Conclusion] The total vegetation carbon sequestration in Shaanxi province increased significantly from 2000 to 2020

and there is huge potential for vegetation carbon sequestration in the future. This study calculated the spatial and temporal dynamic changes and predicted potential spatial distribution characteristics of NPP in the regional scale ecosystem in Shaanxi province

which can provide an evaluation systematic and theoretical reference for scientific evaluation and improvement of regional carbon sink capacity.

关键词

Keywords

references

GERBER S, JOOS F, PRENTICE I C. Sensitivity of a dynamic global vegetation model to climate and atmospheric CO

.Global Change Biology,2004,10(8):1223-1239.

VAN SOEST H L, DEN ELZEN M G J, VAN VUUREN D P. Net-zero emission targets for major emitting countries consistent with the paris agreement[J].Nature Communications,2021,12:e2140.

习近平.在第七十五届联合国大会一般性辩论上的讲话.中华人民共和国国务院公报,2020(28):5-7. XI J P. Statement at the general debate of the 75th session of the united nations general assembly.Gazette of the State Council of the People's Republic of China,2020(28):5-7.

O’NEILL B C, KRIEGLER E, RIAHI K, et al. A new scenario framework for climate change research: The concept of shared socioeconomic pathways[J].Climatic Change,2014,122(3):387-400.

GIARDINA C P, RYAN M G. Evidence that decomposition rates of organic carbon in mineral soil do not vary with temperature[J].Nature,2000,404:858-861.

SONG L Y, LI M Y, XU H, et al. Spatiotemporal variation and driving factors of vegetation net primary productivity in a typical karst area in China from 2000 to 2010[J].Ecological Indicators,2021,132:e108280.

DENG L, SHANGGUAN Z P, SWEENEY S. "Grain for Green" driven land use change and carbon sequestration on the Loess Plateau, China[J].Scientific Reports,2014,4:e7039.

HE N P, WEN D, ZHU J X, et al. Vegetation carbon sequestration in Chinese forests from 2010 to 2050[J].Global Change Biology,2017,23(4):1575-1584.

ZHANG X M, BRANDT M, YUE Y M, et al. The carbon sink potential of Southern China after two decades of afforestation[J].Earth’s Future,2022,10(12):e2022EF002674.

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 Z, LI D K. 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.

徐干君,吴胜义,马浩,等.基于植被净初级生产力(NPP)的陕西黄河湿地植被固碳潜力研究[J].湿地科学与管理,2023,19(1):15-19. XU G J, WU S Y, MA H, et al. Carbon sequestration potential of Shaanxi Yellow River wetland vegetation based on NPP data[J].Wetland Science and Management,2023,19(1):15-19.

吴普侠,汪晓珍,吴建召,等.中国退耕还林工程固碳现状及固碳潜力估算[J].水土保持学报,2022,36(4):342-349. WU P X, WANG X Z, WU J Z, et al. Estimation of carbon stock and carbon sequestration potential for China’s grain for green project[J].Journal of Soil and Water Conservation,2022,36(4):342-349.

WEI X D, YANG J, LUO P P, et al. Assessment of the variation and influencing factors of vegetation NPP and carbon sink capacity under different natural conditions[J].Ecological Indicators,2022,138:e108834.

王天福,龚直文,邓元杰,等.基于土地利用变化的陕西省植被碳汇提质增效优先区识别[J].自然资源学报,2022,37(5):1214-1232. WANG T F, GONG Z W, DENG Y J, et al. Identification of priority areas for improving quality and efficiency of vegetation carbon sinks in Shaanxi province based on land use change[J].Journal of Natural Resources,2022,37(5):1214-1232.

FENG Y J, CHEN X J, GAO F, et al. Impacts of changing scale on Getis-Ord G

hotspots of CPUE: A case study of the neon flying squid (Ommastrephes bartramii) in the northwest Pacific Ocean[J].Acta Oceanologica Sinica,2018,37(5):67-76.

YANG J, HUANG X. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019[J].Earth System Science Data,2021,13(8):3907-3925.

朱文泉,潘耀忠,张锦水.中国陆地植被净初级生产力遥感估算[J].植物生态学报,2007,31(3):413-424. ZHU W Q, PAN Y Z, ZHANG J S. Estimation of net primary productivity of Chinese terrestrial vegetation based on remote sensing[J].Journal of Plant Ecology,2007,31(3):413-424.

SHA Z Y, BAI Y F, LI R R, et al. The global carbon sink potential of terrestrial vegetation can be increased substantially by optimal land management[J].Communications Earth and Environment,2022,3:e8.

TANG X L, ZHAO X, BAI Y F, et al. Carbon pools in China’s terrestrial ecosystems: New estimates based on an intensive field survey[J].Proceedings of the National Academy of Sciences of the United States of America,2018,115(16):4021-4026.

宋艺,李小军,江涛,等.2008—2014年植被覆盖变化对黑河流域净初级生产力的影响研究[J].水土保持研究,2017,24(4):204-218. SONG Y, LI X J, JIANG T. Effects of vegetation coverage change on net primary productivity of Heihe river basin during 2008—2014[J].Research of Soil and Water Conservation,2017,24(4):204-218.

杨强,王涛.榆林地区土地利用/覆盖时空变化及其对生态脆弱性的影响[J].南京林业大学学报(自然科学版),2015,39(2):79-83. YANG Q, WANG T. Spatial-temporal variation of land use/cover and the analysis of its effect on ecological vulnerability in Yulin city of Shaanxi province[J].Journal of Nanjing Forestry University(Natural Sciences Edition),2015,39(2):79-83.

LIU Y X, LYU Y H, BAI Y F, et al. Vegetation mapping for regional ecological research and management: A case of the Loess Plateau in China[J].Chinese Geographical Science,2020,30(3):410-426.

于贵瑞,王秋凤,刘迎春,等.区域尺度陆地生态系统固碳速率和增汇潜力概念框架及其定量认证科学基础[J].地理科学进展,2011,30(7):771-787. YU G R, WANG Q F, LIU Y C, et al. Conceptual framework of carbon sequestration rate and potential increment of carbon sink of regional terrestrial ecosystem and scientific basis for quantitative carbon authentification[J].Progress in Geography,2011,30(7):771-787.

WANG X Z, WU J Z, LIU Y L, et al. Driving factors of ecosystem services and their spatiotemporal change assessment based on land use types in the Loess Plateau[J].Journal of Environmental Management,2022,311:e114835.

DENG L, KIM D G, LI M Y, et al. Land-use changes driven by "Grain for Green" program reduced carbon loss induced by soil erosion on the Loess Plateau of China[J].Global and Planetary Change,2019,177:101-115.

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