About the Journal
In Memory of Professor Jerzy Radecki
Editorial Office
Editorial Board
Scope
Impact Factor
Indexed in...
Journal Impact Factor contributing items
Contact
Subscription
Current issue
Online first
Notes to Authors
Frequently Asked Questions
Editorial policies
PJOES Publication Policy Overview
PJOES Peer Review Policy
PJOES Research Ethics and Malpractice Policy
PJOES Plagiarism Policy
PJOES Conflict of Interest Policy
PJOES Open Access Policy
PJOES Instructions for Reviewers
Generative AI and AI-Assisted Technologies Policy
Archive
ORIGINAL RESEARCH
Analysis of Spatial and Temporal Changes
and Drivers of NPP in Vegetation Ecosystems
in Guizhou, China, in the Last 20 Years
1
School of Geographic and Environmental Sciences, Guizhou Normal University, Guiyang 500025, China
2
The Second Surveying and Mapping Institute of Guizhou Province, Guiyang 500025, China
Submission date: 2024-04-16
Final revision date: 2024-08-15
Acceptance date: 2024-08-23
Online publication date: 2024-10-29
Publication date: 2025-11-04
Corresponding author
Guangbin Yang
School of Geographic and Environmental Sciences, Guizhou Normal University, Guiyang 500025, China
School of Geographic and Environmental Sciences, Guizhou Normal University, Guiyang 500025, China
Pol. J. Environ. Stud. 2025;34(6):6791-6804
KEYWORDS
TOPICS
ABSTRACT
As important manifestations of ecosystem function, clarifying the relationships among regional
net primary productivity (NPP), climate change, and human activities is an urgent topic to explore
in the context of global climate change and the "dual-carbon" strategy. On the basis of Moderate
Resolution Imaging Spectroradiometer (MODIS) NPP data and meteorological and land cover data, we
quantitatively investigated the spatial and temporal changes in NPP in different vegetated ecosystems
in Guizhou Province and their responses to the driving factors via Theil–Sen trend, multiple linear
regression, and correlation analyses. The results revealed that (1) spatially, the area of Guizhou Province
where NPP showed an increasing trend accounted for 51.44%, which was much larger than the area where
the decreasing trend accounted for 6.42%. Temporally, the NPP in Guizhou Province showed a fluctuating
increasing trend, with a rate of 3.65 gC/(m2·a). Under the influence of climate change and human activities,
the NPP of all ecosystems showed a fluctuating increasing trend, among which the grassland ecosystem
presented the most significant increasing trend in NPP, with a rate of 5.91 gC/(m2·a). (2) Climate change
has had a dual effect on NPP in Guizhou Province, but the overall effect has been one of facilitation.
Among the factors, temperature and precipitation were positively correlated with NPP at percentages
of 82.83% and 72.8%, respectively, with a greater facilitating effect than an inhibitory effect. Sunshine
hours and relative humidity were negatively correlated with NPP, accounting for 67.9% and 53.39% of the
area, respectively, and the inhibitory effect was slightly greater than the promotional effect. Among the
ecosystems in Guizhou, farmland ecosystems were the most significantly affected by climate change. (3)
Human activities played a dual role in NPP in Guizhou, but their overall role was that of facilitation. The
transformation of forestland and cropland was the main factor influencing the increase in NPP. Among the
ecosystems in Guizhou, grassland ecosystems were the most significantly affected by human activities.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
REFERENCES (47)
1.
GALVANI A.P., BAUCH C.T., ANAND M., SINGER B.H., LEVIN S.A. Human-environment interactions in population and ecosystem health. Proceedings of the National Academy of Sciences, 113 (51), 14502, 2016. https://doi.org/10.1073/pnas.1... PMid:27956616 PMCid:PMC5187669.
2.
NOLAN C., OVERPECK J.T., ALLEN J.R., ANDERSON P.M., BETANCOURT J.L., BINNEY H.A., BREWER S., BUSH M.B., CHASE B.M., CHEDDADI R. Past and future global transformation of terrestrial ecosystems under climate change. Science, 361 (6405), 920, 2018. https://doi.org/10.1126/scienc... PMid:30166491.
3.
MOTTL O., FLANTUA S.G., BHATTA K.P., FELDE V.A., GIESECKE T., GORING S., GRIMM E.C., HABERLE S., HOOGHIEMSTRA H., IVORY S. Global acceleration in rates of vegetation change over the past 18,000 years. Science, 372 (6544), 860, 2021. https://doi.org/10.1126/scienc... PMid:34016781.
4.
SHI S., ZHU L., LUO Z., QIU H. Quantitative Analysis of the Contributions of Climatic and Anthropogenic Factors to the Variation in Net Primary Productivity, China. Remote Sensing, 15 (3), 789, 2023. https://doi.org/10.3390/rs1503....
5.
ZHANG J., FENG Y., ZHU Z. Spatio-temporal heterogeneity of carbon emissions and its key influencing factors in the Yellow River economic belt of China from 2006 to 2019. International Journal of Environmental Research and Public Health, 19 (7), 4185, 2022. https://doi.org/10.3390/ijerph... PMid:35409868 PMCid:PMC8998442.
6.
YUAN Z., WANG Y., XU J., WU Z. Effects of climatic factors on the net primary productivity in the source region of Yangtze River, China. Scientific Reports, 11 (1), 1376, 2021. https://doi.org/10.1038/s41598... PMid:33446790 PMCid:PMC7809463.
7.
ZHAO M., RUNNING S.W. Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009. Science, 329 (5994), 940, 2010. https://doi.org/10.1126/scienc... PMid:20724633.
8.
WU L., WANG S., BAI X., TIAN Y., LUO G., WANG J., LI Q., CHEN F., DENG Y., YANG Y., HU Z. Climate change weakens the positive effect of human activities on karst vegetation productivity restoration in southern China. Ecological Indicators, 115, 106392, 2020. https://doi.org/10.1016/j.ecol....
9.
GOLLNOW F., LAKES T. Policy change, land use, and agriculture: The case of soy production and cattle ranching in Brazil, 2001–2012. Applied Geography, 55, 203, 2014. https://doi.org/10.1016/j.apge....
10.
ZHOU W., YANG H., HUANG L., CHEN C., LIN X., HU Z., LI J. Grassland degradation remote sensing monitoring and driving factors quantitative assessment in China from 1982 to 2010. Ecological Indicators, 83, 303, 2017. https://doi.org/10.1016/j.ecol....
11.
WEI X., YANG J., LUO P., LIN L., LIN K., GUAN J. Assessment of the variation and influencing factors of vegetation NPP and carbon sink capacity under different natural conditions. Ecological Indicators, 138, 108834, 2022. https://doi.org/10.1016/j.ecol... PMCid:PMC12677174.
12.
YANG H., ZHONG X., DENG S., XU H. Assessment of the impact of LUCC on NPP and its influencing factors in the Yangtze River basin, China. Catena, 206, 105542, 2021. https://doi.org/10.1016/j.cate....
13.
GANG C., ZHANG Y., WANG Z., CHEN Y., YANG Y., LI J., CHENG J., QI J., ODEH I. Modeling the dynamics of distribution, extent, and NPP of global terrestrial ecosystems in response to future climate change. Global and Planetary Change, 148, 153, 2017. https://doi.org/10.1016/j.glop....
14.
CHU C., BARTLETT M., WANG Y., HE F., WEINER J., CHAVE J., SACK L. Does climate directly influence NPP globally? Global Change Biology, 22 (1), 12, 2016. https://doi.org/10.1111/gcb.13... PMid:26442433.
15.
XU Y., ZHENG Z.-W., MENG Y.-C., PAN Y.-C., GUO Z.-D., ZHANG Y. Spatio-temporal Variation in Net Primary Productivity of Different Vegetation Types and Its Influencing Factors Exploration in Southwest China. Huan Jing ke Xue = Huanjing Kexue, 45 (1), 262, 2024.
16.
YANG H., HU D., XU H., ZHONG X. Assessing the spatiotemporal variation of NPP and its response to driving factors in Anhui province, China. Environmental Science and Pollution Research, 27 (13), 14915, 2020. https://doi.org/10.1007/s11356... PMid:32060832.
17.
ZHAO D., JIA W., LIU J. Dynamic Changes and Driving Mechanisms of Net Primary Production (NPP) in a Semi-Arid Region of China. Sustainability, 15 (15), 11829, 2023. https://doi.org/10.3390/su1515....
18.
BRANDT M., RASMUSSEN K., PEÑUELAS J., TIAN F., SCHURGERS G., VERGER A., MERTZ O., PALMER J.R.B., FENSHOLT R. Human population growth offsets climate-driven increase in woody vegetation in sub-Saharan Africa. Nature Ecology & Evolution, 1 (4), 0081, 2017. https://doi.org/10.1038/s41559... PMid:28812661.
19.
LING S., JIN S., WANG H., ZHANG Z., FENG Y. Transportation infrastructure upgrading and green development efficiency: Empirical analysis with double machine learning method. Journal of Environmental Management, 358, 120922, 2024. https://doi.org/10.1016/j.jenv... PMid:38657413.
20.
FIELD C.B., RANDERSON J.T., MALMSTRÖM C.M. Global net primary production: combining ecology and remote sensing. Remote Sensing of Environment, 51 (1), 74, 1995. https://doi.org/10.1016/0034-4....
21.
FANGYAN Q., ANJUN L., ZHEMENG F., RENRU W., QIAN T., YONGCAI Z., JINZHU X. Spatiotemporal Variation Characteristics and Influencing Factors of NPP in Guizhou Province from 2000 to 2020. Research of Soil and Water Conservation, 30 (05), 408, 2023.
22.
JIANYONG M., XIAOPING G., MEI H., FEI Y. Temporal-spatial distribution of net ecosystem productivity in Guizhou during the recent 50 years. Ecology and Environmental Sciences, 22 (09), 1462, 2013.
23.
SHEN Q., WU R., PAN Y., FENG Y. The effectiveness of smart city policy on pollution reduction in China: New evidence from a quasi-natural experiment. Environmental Science and Pollution Research, 30 (18), 52841, 2023. https://doi.org/10.1007/s11356... PMid:36843170.
24.
LINQIN W., ZHONGFEI L. Evolution characteristics of rocky desertification during 2004–2016 in Guizhou Province, China. Acta Ecologica Sinica, 40 (17), 5928, 2020. https://doi.org/10.5846/stxb20....
25.
BINGXIN M., JUANLI J., YONG X., HONGCHANG H., BING L. Spatial-Temporal Changes of NPP and Its Relationship with Climate Change in Karst Areas of Yunnan, Guizhou and Guangxi from 2000 to 2019. Ecology and Environmental Sciences, 30 (12), 2285, 2021.
26.
YANG J., HUANG X. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019. Earth System Science Data, 13 (8), 3907, 2021. https://doi.org/10.5194/essd-1....
27.
LI L., XU E. Scenario analysis and relative importance indicators for combined impact of climate and land use change on annual ecosystem services in the Karst mountainous region. Ecological Indicators, 147, 109991, 2023. https://doi.org/10.1016/j.ecol....
28.
YANG H., YU J., XU W., WU Y., LEI X., YE J., GENG J., DING Z. Long-time series ecological environment quality monitoring and cause analysis in the Dianchi Lake Basin, China. Ecological Indicators, 148, 110084, 2023. https://doi.org/10.1016/j.ecol....
29.
SAYEMUZZAMAN M., JHA M.K. Seasonal and annual precipitation time series trend analysis in North Carolina, United States. Atmospheric Research, 137, 183, 2014. https://doi.org/10.1016/j.atmo....
30.
GÜÇLÜ Y.S. Improved visualization for trend analysis by comparing with classical Mann-Kendall test and ITA. Journal of Hydrology, 584, 124674, 2020. https://doi.org/10.1016/j.jhyd....
31.
YONG X., ZHIWEI Z., YUCHI M., YUCHUN P., ZHENDONG G., YAN Z. Spatio-temporal Variation in Net Primary Productivity of Different Vegetation Types and Its Influencing Factors Exploration in Southwest China. Environmental Science, 45 (01), 262, 2024.
32.
TIANTIAN C., QIANG H., QIANG W. Differentiation characteristics and driving factors of ecosystem services relationships in karst mountainous area based on geographic detector modeling: A case study of Guizhou Province. Acta Ecologica Sinica, 42 (17), 6959, 2022. https://doi.org/10.5846/stxb20....
33.
SUN S., LI Q., LI J., WANG G., ZHOU S., CHAI R., HUA W., DENG P., WANG J., LOU W. Revisiting the evolution of the 2009–2011 meteorological drought over Southwest China. Journal of Hydrology, 568, 385, 2019. https://doi.org/10.1016/j.jhyd....
34.
PORTELA A.P., GONÇALVES J.F., DURANCE I., VIEIRA C., HONRADO J. Riparian forest response to extreme drought is influenced by climatic context and canopy structure. Science of The Total Environment, 881, 163128, 2023. https://doi.org/10.1016/j.scit... PMid:37030365.
35.
HAIPIN L., DINHEN L., HAO L. Evaluation of potential carbon sink benefits of Grain for Green Project in Guizhou Province. Acta Ecologica Sinica, 42 (23), 9499, 2022. https://doi.org/10.5846/stxb20....
36.
YONG X., HAIYAN H., QIANGYU D., ZHENDONG G., ZHIWEI Z., YUCHUN P. Spatial-temporal Variation in Net Primary Productivity in Terrestrial Vegetation Ecosystems and Its Driving Forces in Southwest China. Environmental Science, 44 (05), 2704, 2023.
37.
KHALIFA M., ELAGIB N.A., RIBBE L., SCHNEIDER K. Spatio-temporal variations in climate, primary productivity and efficiency of water and carbon use of the land cover types in Sudan and Ethiopia. Science of the Total Environment, 624, 790, 2018. https://doi.org/10.1016/j.scit... PMid:29272848.
38.
PAL M., MATHER P.M. Support vector machines for classification in remote sensing. International Journal of Remote Sensing, 26 (5), 1007, 2005. https://doi.org/10.1080/014311....
39.
RAPINEL S., CLÉMENT B., MAGNANON S., SELLIN V., HUBERT-MOY L. Identification and mapping of natural vegetation on a coastal site using a Worldview-2 satellite image. Journal of Environmental Management, 144, 236, 2014. https://doi.org/10.1016/j.jenv... PMid:24973612.
40.
FENG Y., GAO Y., HU S., SUN M., ZHANG C. How does digitalization affect the green transformation of enterprises registered in China's resource-based cities? Further analysis on the mechanism and heterogeneity. Journal of Environmental Management, 365, 121560, 2024. https://doi.org/10.1016/j.jenv... PMid:38908150.
41.
SHEN Q., PAN Y., FENG Y. The impacts of industrial collaborative agglomeration on industrial sulfur dioxide emissions in China: from the novel perspective of spatiotemporal matrix. Environmental Science and Pollution Research, 1, 2023. https://doi.org/10.1007/s11356... PMid:37474862.
42.
LIU H., ZHANG M., LIN Z. Relative importance of climate changes at different time scales on net primary productivity—a case study of the Karst area of northwest Guangxi, China. Environmental Monitoring and Assessment, 189 (11), 2017. https://doi.org/10.1007/s10661... PMid:28983747.
43.
WU G.L., CHENG Z., ALATALO J.M., ZHAO J., LIU Y. Climate warming consistently reduces grassland ecosystem productivity. Earth's Future, 9 (6), e2020EF001837, 2021. https://doi.org/10.1029/2020EF....
44.
BROOKSHIRE E., WEAVER T. Long-term decline in grassland productivity driven by increasing dryness. Nature Communications, 6 (1), 7148, 2015. https://doi.org/10.1038/ncomms... PMid:25972300 PMCid:PMC4479003.
45.
FANOURAKIS D., HYLDGAARD B., GIDAY H., BOURANIS D., KÖRNER O., NIELSEN K.L., OTTOSEN C.-O. Differential effects of elevated air humidity on stomatal closing ability of Kalanchoë blossfeldiana between the C3 and CAM states. Environmental and Experimental Botany, 143, 115, 2017. https://doi.org/10.1016/j.enve....
46.
LIAO C., YUE Y., WANG K., FENSHOLT R., TONG X., BRANDT M. Ecological restoration enhances ecosystem health in the karst regions of southwest China. Ecological Indicators, 90, 416, 2018. https://doi.org/10.1016/j.ecol....
47.
FENG Y., SUN M., PAN Y., ZHANG C. Fostering inclusive green growth in China: Identifying the impact of the regional integration strategy of Yangtze River Economic Belt. Journal of Environmental Management, 358, 120952, 2024. https://doi.org/10.1016/j.jenv... PMid:38657415.
Share
RELATED ARTICLE
| eISSN: | 2083-5906 |
| ISSN: | 1230-1485 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
