Effects of land use and land cover change on soil organic carbon storage in the Hexi regions, Northwest China

Li, Yongge; Liu, Wei; Feng, Qi; Zhu, Meng; Yang, Linshan; Zhang, Jutao

doi:10.1016/j.jenvman.2022.114911

Cited by 51 publications

(30 citation statements)

References 59 publications

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“…The land-use data of Gansu province used in this study were obtained from the National Land-Use/Cover Database of China (NLUD-C) on the Resource and Environment Science Data Center of the Chinese Academy of Sciences (RESDC) (https://www.resdc.cn, accessed on 6 October 2021), which were interpreted based on Landsat-MSS, Landsat-TM, and Landsat 8 images with the human-machine interaction method. Through random verification at the field surveys, the accuracy of LUCC interpretation was more than 90% [40,45], which meet the experimental requirements. After that, the land-use types in the Gansu province were classified with reference to the National Ecological Remote Sensing Monitoring Land Use/Land Cover Classification System.…”

Section: Land-use Datamentioning

confidence: 57%

“…However, due to the large spatial heterogeneity of biomass and soil organic carbon density, limited site-level measurements may not fully capture the high variability of carbon even within the same land-use type over space, leading to uncertainties in the carbon storage change estimations [38,39]. Hence, it is needed to obtained biomass and soil carbon datasets with high-spatial resolution and quality for the evaluation of ecosystem carbon dynamics [40]. Over the past decade, with the rapid development of remote sensing and machine learning techniques, increasing aboveground and belowground biomass as well as soil organic carbon density maps were created based on a large amount of field measurements and satellite-derived covariates.…”

Section: Introductionmentioning

confidence: 99%

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Impacts of Land-Use Change on the Spatio-Temporal Patterns of Terrestrial Ecosystem Carbon Storage in the Gansu Province, Northwest China

et al. 2022

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Land-use change is supposed to exert significant effects on the spatio-temporal patterns of ecosystem carbon storage in arid regions, while the relative size of land-use change effect under future environmental change conditions is still less quantified. In this study, we combined a land-use change dataset with a satellite-based high-resolution biomass and soil organic carbon dataset to determine the role of land-use change in affecting ecosystem carbon storage from 1980 to 2050 in the Gansu province of China, using the MCE-CA-Markov and InVEST models. In addition, to quantify the relative size of the land-use change effect in comparison with other environmental drivers, we also considered the effects of climate change, CO2 enrichment, and cropland and forest managements in the models. The results show that the ecosystem carbon storage in the Gansu province increased by 208.9 ± 99.85 Tg C from 1980 to 2020, 12.87% of which was caused by land-use change, and the rest was caused by climate change, CO2 enrichment, and ecosystem managements. The land-use change-induced carbon sequestration was mainly associated with the land-use category conversion from farmland to grassland as well as from saline land and desert to farmland, driven by the grain-for-green projects in the Loess Plateau and oasis cultivation in the Hexi Corridor. Furthermore, it was projected that ecosystem carbon storage in the Gansu province from 2020 to 2050 will change from −14.69 ± 12.28 Tg C to 57.83 ± 53.42 Tg C (from 105.62 ± 51.83 Tg C to 177.03 ± 94.1 Tg C) for the natural development (ecological protection) scenario. By contrast, the land-use change was supposed to individually increase the carbon storage by 56.46 ± 9.82 (165.84 ± 40.06 Tg C) under the natural development (ecological protection) scenario, respectively. Our results highlight the importance of ecological protection and restoration in enhancing ecosystem carbon storage for arid regions, especially under future climate change conditions.

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Section: Land-use Datamentioning

confidence: 57%

Section: Introductionmentioning

confidence: 99%

Impacts of Land-Use Change on the Spatio-Temporal Patterns of Terrestrial Ecosystem Carbon Storage in the Gansu Province, Northwest China

et al. 2022

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“…The basic theory of the framework is the SCORPAN equation, which expresses soil characteristics as functions of soil-forming factors such as soil inner properties, cli mate, organisms, terrain attributes, parent materials, time, and locations [47,48]. The spa tio-temporal patterns of target soil properties (soil salinity and SOC stock in this study The study area is adjacent to the Tengger Desert and Badain Jaran Desert (Figure 1A); thus, it serves as an important ecological barrier in preventing the closure of the two big deserts in the Hexi Region [44,45]. However, with the rapid growth of the population and increasing grain demand, a large area of saline land and sandy land was cultivated to create an artificial oasis.…”

Section: Methodsmentioning

confidence: 90%

“…The oasis was characterized by the maximal SOC stock value reaching 1.88 kg m −2 in the 2020s, followed by built-up land mainly located within the oasis. The oasis mainly compromised croplands, wetlands, and windbreak forests in the study area; thus, SOC stock was higher due to the higher root biomass input associated with greater water availability in comparison with that of zonal temperate desert ecosystems [45]. Being different from humid regions, cultivation in arid regions (especially in desert and bare land) generally enables soil to accumulate additional organic carbon instead of releasing carbon [67].…”

Section: Spatial Patterns Of Soil Salinity and Soc Stockmentioning

confidence: 90%

“…The temporal dynamics of SOC stock in the study area was mainly associated with oasis expansion, vegetation restoration in sandy and saline regions, salinization control, and agricultural management (e.g., the application of organic and microbial fertilizers, farmyard manure, and crop residues), which together contributed to a 0.15 kg m −2 increase in the topsoil carbon stock over the past three decades. In arid inland regions, water availability was a predominant control of ecosystem productivity; thus, it was also regarded as the main external environmental driver of SOC dynamics [45,60]. In contrast, vegetation restoration and salinization control were supposed to be regulatory factors, which could exert additional effects on SOC stock if the water availability was guaranteed for the arid ecosystems.…”

Section: Temporal Dynamics Of Salinity and Soc Stockmentioning

confidence: 99%

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The Role of Soil Salinization in Shaping the Spatio-Temporal Patterns of Soil Organic Carbon Stock

Zhang

Liu

et al. 2022

Remote Sensing

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Soil salinization is closely related to land degradation, and it is supposed to exert a significant negative effect on soil organic carbon (SOC) stock dynamics. This effect and its mechanism have been examined at site and transect scales in previous studies while over a large spatial extent, the salinity-induced changes in SOC stock over space and time have been less quantified, especially by machine learning and remote sensing techniques. The main focus of this study is to answer the following question: to what extent can soil salinity exert an additional effect on SOC stock over time at a larger spatial scale? Thus, we employed the extreme gradient boosting models (XGBoost) combined with field site-level measurements from 433 sites and 41 static and time-varying environmental covariates to construct methods capable of quantifying the salinity-induced SOC changes in a typical inland river basin of China between the 1990s and 2020s. Results showed that the XGBoost models performed well in predicting the soil electrical conductivity (EC) and SOC stock at 0–20 cm, with the R2 value reaching 0.85 and 0.81, respectively. SOC stock was found to vary significantly with increasing soil salinity following an exponential decay function (R2 = 0.27), and salinity sensitivity analysis showed that soils in oasis were expected to experience the largest carbon loss (−137.78 g m−2), which was about 4.84, 14.37, and 25.95 times higher than that in the saline, bare, and sandy land, respectively, if the soil salinity increased by 100%. In addition, the decrease in the soil salinity (−0.32 dS m−1) from the 1990s to the 2020s was estimated to enhance the SOC stock by 0.015 kg m−2, which contributed an additional 10% increase to the total SOC stock enhancement. Overall, the proposed methods can be applied for quantification of the direction and size of the salinity effect on SOC stock changes in other salt-affected regions. Our results also suggest that the role of soil salinization should not be neglected in SOC changes projection, and soil salinization control measures should be further taken into practice to enhance soil carbon sequestration in arid inland river basins.

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The formation of small macro‐aggregates induces soil organic carbon stocks in the restoration process used on cut slopes in alpine regions of China

et al. 2022

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Road construction in mountainous areas of China has formed bare slopes on a large scale, which has aggravated soil erosion and carbon loss, and the restoration processes have changed soil structure and fertility. However, there are few reports regarding the differences of soil aggregate dynamics and SOC sequestration under different restoration process for cut slopes. In this study, three types of cut slopes [cut slope restored naturally (CSN); cut slope restored with three‐dimensional mesh (CST); cut slope restored with galvanized wire mesh (CSG)] and natural slope (NS) in alpine regions were selected as the research objects. SOC stocks and their key driving factors were then analyzed. The results showed that CSG was more beneficial to the formation of macro‐aggregates than CSN and CST. There were significant differences in wet‐sieved aggregate stability under different restoration process, where the sort by strength of stability was NS > CSG > CST > CSN. Aggregate size was a more important factor for SOC stocks than restoration process. The increase of SOC stocks was mainly due to that within small macro‐aggregates. RandomForest analysis revealed that the mass proportion of micro‐aggregates was the most important factor affected SOC stocks, while SOC stocks within large macro‐aggregates and small macro‐aggregates and porosity significantly affected SOC stocks. Partial least squares path modelling analysis found the particle size and stability of aggregates had negative total effects on SOC stocks, and SOC content had positive total effect on that. Overall, for the ecological restoration of cut slope in alpine regions, CSG was most beneficial to increase soil aggregate stability and SOC stocks.

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Effects of land use and land cover change on soil organic carbon storage in the Hexi regions, Northwest China

Cited by 51 publications

References 59 publications

Impacts of Land-Use Change on the Spatio-Temporal Patterns of Terrestrial Ecosystem Carbon Storage in the Gansu Province, Northwest China

Impacts of Land-Use Change on the Spatio-Temporal Patterns of Terrestrial Ecosystem Carbon Storage in the Gansu Province, Northwest China

The Role of Soil Salinization in Shaping the Spatio-Temporal Patterns of Soil Organic Carbon Stock

The formation of small macro‐aggregates induces soil organic carbon stocks in the restoration process used on cut slopes in alpine regions of China

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