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eISSN: 2083-5906
ISSN: 1230-1485
ISSN: 1230-1485
ORIGINAL RESEARCH
Impacts of Improved Carbon Density on Carbon
Stocks in Typical Dryland Terrestrial Ecosystems
in China and the Driving Mechanism Analysis
1
Xinjiang Key Laboratory of Soil and Plant Ecological Processes, Xinjiang Agricultural University,
Urumqi 830052, China
2
School of Life Sciences, Hebei University, Baoding, 071002, China
3
Xinjiang Engineering Technology Research Center of Soil Big Data, Xinjiang Agricultural University,
Urumqi 830052, China
Submission date: 2024-11-23
Final revision date: 2025-02-20
Acceptance date: 2025-04-06
Online publication date: 2025-06-18
Corresponding author
Mingjie Shi
Xinjiang Key Laboratory of Soil and Plant Ecological Processes, Xinjiang Agricultural University, Urumqi 830052, China
Xinjiang Key Laboratory of Soil and Plant Ecological Processes, Xinjiang Agricultural University, Urumqi 830052, China
Hongqi Wu
Xinjiang Key Laboratory of Soil and Plant Ecological Processes, Xinjiang Agricultural University, Urumqi 830052, China
Xinjiang Key Laboratory of Soil and Plant Ecological Processes, Xinjiang Agricultural University, Urumqi 830052, China
KEYWORDS
TOPICS
ABSTRACT
In recent years, global warming caused by greenhouse gases has seriously affected the living
environment of human beings. It is of great significance to study the temporal and spatial evolution
and simulation of carbon stocks under land use and climate change to understand the global carbon
cycle, formulate policies to reduce emissions and increase sequestration, and achieve the goal of
carbon neutrality. However, it is a major problem to obtain carbon density data. Xinjiang is located
in the northwest and should protect the ecological service system, while Manas County, located
in the hinterland of Xinjiang, is a relatively complete ecosystem service functional area, and it is also
an important area that constitutes an ecological environmental protection barrier, so people should
pay more attention to protecting the ecological service system in this area. This paper presents
a comprehensive analysis of carbon stocks in terrestrial ecosystems in Manas, a typical arid zone,
based on an improved carbon density index; the results of the study show that from 2000 to 2020,
land use in Manas County has changed dramatically, with the area of unused and forested land
decreasing and the area of arable land continuing to increase, which is of great significance for
the reclamation of reserve arable land in Xinjiang. In addition, the spatial distribution pattern of
total carbon stock in the study area did not differ much in different periods, with an overall increasing
trend from southeast to northwest and a continuous decreasing trend in the spatial amount of forest
carbon stock. This trend may inhibit the sustainable development of China’s dual-carbon policy.
The results of the driving mechanism in Manas County showed the nonlinear enhancement of NDVI
and temperature, and the two-factor enhancement of NDVI and precipitation. Finally, this study
highlights the necessity of accurately estimating the carbon density corrected for dryland areas with incoming analyses of their driving mechanisms. This is crucial for the validation and parameterization
of Chinese and global carbon models.
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 (40)
1.
YOU Q., JIANG Z., YUE X., GUO W., LIU Y., CAO J., LI W., WU F., CAI Z., ZHU H. Recent frontiers of climate changes in East Asia at global warming of 1.5ºC and 2ºC. Npj Climate and Atmospheric Science, 5 (1), 80, 2022. https://doi.org/10.1038/s41612....
2.
CHEN Z., SHUAI Q., SHI Z., ARROUAYS D., RICHERDE-FORGES A.C., CHEN S. National-scale mapping of soil organic carbon stock in France: New insights and lessons learned by direct and indirect approaches. Soil & Environmental Health, 1 (4), 2023. https://doi.org/10.1016/j.seh.....
3.
ORTEGA-RUIZ G., MENA-NIETO A., GOLPE A., GARCÍA-RAMOS J.E. CO2 emissions and causal relationships in the six largest world emitters. Renewable and Sustainable Energy Reviews, 162, 112435, 2022. https://doi.org/10.1016/j.rser....
4.
DU M., ZHANG X., XIA L., CAO L., ZHANG Z., ZHANG L., ZHENG H., CAI B. The China Carbon Watch (CCW) system: A rapid accounting of household carbon emissions in China at the provincial level. Renewable and Sustainable Energy Reviews, 155, 111825, 2022. https://doi.org/10.1016/j.rser....
5.
RIPPLE W.J., WOLF C., GREGG J.W., ROCKSTRÖM J., NEWSOME T.M., LAW B.E., MARQUES L., LENTON T.M., XU C., HUQ S. The 2023 state of the climate report: Entering uncharted territory. BioScience, 73 (12), 841, 2023. https://doi.org/10.1093/biosci....
6.
YANG X., LIU X. Path analysis and mediating effects of influencing factors of land use carbon emissions in Chang-Zhu-Tan urban agglomeration. Technological Forecasting & Social Change, 188, 122268, 2023. https://doi.org/10.1016/j.tech....
7.
BEILLOUIN D., CARDINAEL R., BERRE D., BOYER A., CORBEELS M., FALLOT A., FEDER F., DEMENOIS J. A global overview of studies about land management, land-use change, and climate change effects on soil organic carbon. Global Change Biology, 28 (4), 1690, 2022. https://doi.org/10.1111/gcb.15....
8.
TIAN L., TAO Y., FU W., LI T., REN F., LI M. Dynamic simulation of land use/cover change and assessment of forest ecosystem carbon storage under climate change scenarios in Guangdong Province, China. Remote Sensing, 14 (10), 2330, 2022. https://doi.org/10.3390/rs1410....
9.
WU J., LUO J., ZHANG H., QIN S., YU M. Projections of land use change and habitat quality assessment by coupling climate change and development patterns. Science of The Total Environment, 847, 157491, 2022. https://doi.org/10.1016/j.scit....
10.
SHI M., WU H., JIANG P., SHI W., ZHANG M., ZHANG L., ZHANG H., FAN X., LIU Z., ZHENG K. Cropland expansion mitigates the supply and demand deficit for carbon sequestration service under different scenarios in the future - the case of Xinjiang. Agriculture, 12 (8), 1182, 2022. https://doi.org/10.3390/agricu....
11.
LI F., YIN X., SHAO M. Natural and anthropogenic factors on China's ecosystem services: Comparison and spillover effect perspective. Journal of Environmental Management, 324, 116064, 2022. https://doi.org/10.1016/j.jenv....
12.
MA S., LI Y., ZHANG Y., WANG L.-J., JIANG J., ZHANG J. Distinguishing the relative contributions of climate and land use/cover changes to ecosystem services from a geospatial perspective. Ecological Indicators, 136, 108645, 2022. https://doi.org/10.1016/j.ecol....
13.
LONG H. Theorizing land use transitions: A human geography perspective. Habitat International, 128, 102669, 2022. https://doi.org/10.1016/j.habi....
14.
WANG Q., WANG H. Spatiotemporal dynamics and evolution relationships between land-use/land cover change and landscape pattern in response to rapid urban sprawl process: A case study in Wuhan, China. Ecological Engineering, 182, 106716, 2022. https://doi.org/10.1016/j.ecol....
15.
CHANG X., XING Y., WANG J., YANG H., GONG W. Effects of land use and cover change (LUCC) on terrestrial carbon stocks in China between 2000 and 2018. Resources, Conservation and Recycling, 182, 106333, 2022. https://doi.org/10.1016/j.resc....
16.
ZHU G., QIU D., ZHANG Z., SANG L., LIU Y., WANG L., ZHAO K., MA H., XU Y., WAN Q. Land-use changes lead to a decrease in carbon storage in arid region, China. Ecological Indicators, 127, 107770, 2021. https://doi.org/10.1016/j.ecol....
17.
ZHAO J., HU H., WANG J. Forest Carbon Reserve Calculation and Comprehensive Economic Value Evaluation: A Forest Management Model Based on Both Biomass Expansion Factor Method and Total Forest Value. International Journal of Environmental Research and Public Health, 19 (23), 15925, 2022. https://doi.org/10.3390/ijerph....
18.
LIAO N., GU X., WANG Y., XU H., FAN Z. Analysis of ecological and economic benefits of rural land integration in the manas river basin oasis. Land, 10 (5), 451, 2021. https://doi.org/10.3390/land10....
19.
SUN W., LIU X. Review on carbon storage estimation of forest ecosystem and applications in China. Forest Ecosystems, 7, 1, 2020. https://doi.org/10.1186/s40663....
20.
FATICHI S., PAPPAS C., ZSCHEISCHLER J., LEUZINGER S. Modelling carbon sources and sinks in terrestrial vegetation. New Phytologist, 221 (2), 652, 2019. https://doi.org/10.1111/nph.15....
21.
SHI M., WU H., JIANG P., ZHENG K., LIU Z., DONG T., HE P., FAN X. Food-water-land-ecosystem nexus in typical Chinese dryland under different future scenarios. Science of the Total Environment, 880, 163183, 2023. https://doi.org/10.1016/j.scit....
22.
YAN X., WANG Y., CHEN Y., YANG G., XIA B., XU H. Study on the Spatial Allocation of Receding Land and Water Reduction under Water Resource Constraints in Arid Zones. Agriculture, 12 (7), 926, 2022. https://doi.org/10.3390/agricu....
23.
YIN Z., DONG Y., WANG Q., MA Y., GAO Z., LING Z., AIHAITI X., ABUDUSAIMAITI X., QIU R., CHEN Z. Spatial-temporal evolution patterns of influenza incidence in Xinjiang Prefecture from 2014 to 2023 based on GIS. Scientific Reports, 14 (1), 21496, 2024. https://doi.org/10.1038/s41598....
24.
LIU D., WANG Y., CHEN Y., YANG G., XU H., MA Y. Analysis of the Difference in Changes to Farmers' Livelihood Capital under Different Land Transfer Modes - A Case Study of Manas County, Xinjiang, China. Land, 11 (8), 1369, 2022. https://doi.org/10.3390/land11....
25.
FENG Y., ZHU A., WANG J., XIA K., LIU Z. Study on the low-carbon development under a resources-dependent framework of water-land-energy utilization: Evidence from the Yellow River Basin, China. Energy, 280, 2023. https://doi.org/10.1016/j.ener....
26.
WU Z., LIU Y., LI G., HAN Y., LI X., CHEN Y. Influences of environmental variables and their interactions on Chinese farmland soil organic carbon density and its dynamics. Land, 11 (2), 208, 2022. https://doi.org/10.3390/land11....
27.
WANG Z., HUANG L. Spatial variations and influencing factors of soil organic carbon under different land use types in the alpine region of Qinghai-Tibet Plateau. Catena, 220, 106706, 2023. https://doi.org/10.1016/j.cate....
28.
SONG Y., WANG J., GE Y., XU C. An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: Cases with different types of spatial data. GIScience & Remote Sensing, 57 (5), 593, 2020. https://doi.org/10.1080/154816....
29.
ZHANG H., DONG G., WANG J., ZHANG T.-L., MENG X., YANG D., LIU Y., LU B. Understanding and extending the geographical detector model under a linear regression framework. International Journal of Geographical Information Science, 37 (11), 2437, 2023. https://doi.org/10.1080/136588....
30.
RAN L., FANG N., WANG X., PIAO S., CHAN C.N., LI S., ZENG Y., SHI Z., TIAN M., XU Y.J., QI J., LIU B. Substantially Enhanced Landscape Carbon Sink Due To Reduced Terrestrial‐Aquatic Carbon Transfer Through Soil Conservation in the Chinese Loess Plateau. Earth's Future, 11 (7), 2023. https://doi.org/10.1029/2023EF....
31.
MAMAT A., AIMAITI M., SAYDI M., WANG J. Evolution and driving forces of ecological service value in response to land use change in tarim basin, Northwest China. Remote Sensing, 16 (13), 2311, 2024. https://doi.org/10.3390/rs1613....
32.
LI'NA M., FEIYUN Z., YUXIN Z., LUN T., JIANGUO K. Temporal and spatial evolution of ecosystem service value under land use change in Xinjiang from 1980 to 2020. Arid Land Geography, 46 (2), 253, 2023.
33.
LIU Q., YANG Z., WANG C., HAN F. Temporal-spatial variations and influencing factor of land use change in Xinjiang, central Asia, from 1995 to 2015. Sustainability, 11 (3), 696, 2019. https://doi.org/10.3390/su1103....
34.
DAI L., ZHANG Y., WANG L., ZHENG S., XU W. Assessment of carbon density in natural mountain forest ecosystems at northwest China. International Journal of Environmental Research and Public Health, 18 (4), 2098, 2021. https://doi.org/10.3390/ijerph....
35.
ZHOU R., LIN M., GONG J., WU Z. Spatiotemporal heterogeneity and influencing mechanism of ecosystem services in the Pearl River Delta from the perspective of LUCC. Journal of Geographical Sciences, 29, 831, 2019. https://doi.org/10.1007/s11442....
36.
LUO K., WANG H., MA C., WU C., ZHENG X., XIE L. Carbon sinks and carbon emissions balance of land use transition in Xinjiang, China: differences and compensation. Scientific Reports, 12 (1), 22456, 2022. https://doi.org/10.1038/s41598....
37.
YURUI L., XUANCHANG Z., ZHI C., ZHENGJIA L., ZHI L., YANSUI L. Towards the progress of ecological restoration and economic development in China's Loess Plateau and strategy for more sustainable development. Science of The Total Environment, 756, 2021. https://doi.org/10.1016/j.scit....
38.
LIU X., WANG P., SONG H., ZENG X. Determinants of net primary productivity: Low-carbon development from the perspective of carbon sequestration. Technological Forecasting and Social Change, 172, 2021. https://doi.org/10.1016/j.tech....
39.
WANG N., CHEN X., ZHANG Z., PANG J. Spatiotemporal dynamics and driving factors of county-level carbon storage in the Loess Plateau: A case study in Qingcheng County, China. Ecological Indicators, 144, 2022. https://doi.org/10.1016/j.ecol....
40.
YANG G., ZHA D., WANG X., CHEN Q. Exploring the nonlinear association between environmental regulation and carbon intensity in China: The mediating effect of green technology. Ecological Indicators, 114, 2020. https://doi.org/10.1016/j.ecol....
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