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Carbon emissions from land use (ELUC) are an important part of anthropogenic CO2 emissions, but its size and location remain uncertain, and our knowledge of the relationship between ELUC and GDP remains partial. We showed that the carbon emissions directly caused by land use change (direct ELUC) during 1992–2015 was 26.54 Pg C (1.15 Pg C yr-1), with a decreased trend and a net reduction rate of −0.15 Pg C yr-1. The areas that exhibited reductions were concentrated in South America, Central Africa, and Southeast Asia, and those with increments were scattered in Northwestern North America, Eastern South America, Central Africa, East Asia, and parts of Southeast Asia. For the indirect carbon emissions from the utilization of built-up land (indirect ELUC), it manifested an upward trend with a total emission of 27.51 Pg C (1.2 Pg C yr-1). The total value resulted by global ELUC was $136.3 × 109 US, and the value of annual was equivalent to 3.7 times the GDP of the Central African Republic in 2015 ($5.93 × 109 US yr-1). Among the 79 countries and regions considered in this study, 54 represented the upward GDP with increased emissions, and only 25 experienced GDP growth with emission reductions. These findings highlight the pivotal role of land use change in the carbon cycle and the significance of coordinated development between GDP and carbon emissions.
Shiqi Tian; Shijie Wang; Xiaoyong Bai; Guangjie Luo; Qin Li; Yujie Yang; Zeyin Hu; Chaojun Li; Yuanhong Deng. Global patterns and changes of carbon emissions from land use during 1992–2015. Environmental Science and Ecotechnology 2021, 7, 100108 .
AMA StyleShiqi Tian, Shijie Wang, Xiaoyong Bai, Guangjie Luo, Qin Li, Yujie Yang, Zeyin Hu, Chaojun Li, Yuanhong Deng. Global patterns and changes of carbon emissions from land use during 1992–2015. Environmental Science and Ecotechnology. 2021; 7 ():100108.
Chicago/Turabian StyleShiqi Tian; Shijie Wang; Xiaoyong Bai; Guangjie Luo; Qin Li; Yujie Yang; Zeyin Hu; Chaojun Li; Yuanhong Deng. 2021. "Global patterns and changes of carbon emissions from land use during 1992–2015." Environmental Science and Ecotechnology 7, no. : 100108.
Global warming and the fertilization effect of carbon dioxide (CO2) have led to a general increase in gross primary production (GPP). Although soil drying (SD) may limit this increase, its limiting effect has not been confirmed and quantified. Hence, we evaluated the impact of SD and climate factors on GPP. From 1997 to 2017, GPP showed a slight downward trend but began to rise after 2011. In SD zones, 19% of the GPP change was attributed to SD, and CO2 concentration in climate factors was the climate factor that contributed the most (24%) and accounted for the main control area (9%). Surprisingly, the negative contribution of SD to GPP offset 35% of the positive contribution area of the climate factors. In addition, SD and climate factors explained 1% and 23% of the GPP increase, respectively, but in areas where GPP decreased, the SD area exceeded that of climate factors by 1.2 times, further highlighting the importance of SD in the GPP drive mechanism. Compared with previous studies, we further quantified the contribution of SD and climate factors to GPP, which improved our understanding of the global pattern of total carbon absorption and its response to SD and climate factors.
Huan Chen; Xiaoyong Bai; Yangbing Li; Qin Li; Luhua Wu; Fei Chen; Chaojun Li; Yuanhong Deng; Huipeng Xi; Chen Ran; Xuling Luo; Min Liu. Soil drying weakens the positive effect of climate factors on global gross primary production. Ecological Indicators 2021, 129, 107953 .
AMA StyleHuan Chen, Xiaoyong Bai, Yangbing Li, Qin Li, Luhua Wu, Fei Chen, Chaojun Li, Yuanhong Deng, Huipeng Xi, Chen Ran, Xuling Luo, Min Liu. Soil drying weakens the positive effect of climate factors on global gross primary production. Ecological Indicators. 2021; 129 ():107953.
Chicago/Turabian StyleHuan Chen; Xiaoyong Bai; Yangbing Li; Qin Li; Luhua Wu; Fei Chen; Chaojun Li; Yuanhong Deng; Huipeng Xi; Chen Ran; Xuling Luo; Min Liu. 2021. "Soil drying weakens the positive effect of climate factors on global gross primary production." Ecological Indicators 129, no. : 107953.
Although the cellular automata (CA) model has been extensively applied in the simulation of ground cover changes, but it is rarely applied in the simulation of the driving forces of karst rock desertification (KRD). KRD has become one of the most serious ecological disasters in southwest China. Thus, it is necessary to accurately identify the driving factors affecting the occurrence and development of KRD. Accurately predicting the future development trend of KRD has great significance for quantitative evaluation of ecological environment governance and restoration in karst areas. We used the actual interpretation of KRD data in 2011 and 2016, based on the geographical detector to select the driving factors for the occurrence and development of KRD, and used the CA model to simulate the spatial and temporal changes of KRD. Results show that (1) the kappa verification accuracy for all types of KRD was above 0.5 when the CA model was used for the simulation of the spatial distribution of KRD and thus the theoretical requirements for accurate identification of the distribution of KRD were met. (2) Driving factors can be accurately screened by using the geodetector model to analyze the driving factors of KRD. The strengths of the factors follow the order lithology (0.35) > population density (0.30) > slope (0.21) > soil erosion (0.16) > altitude (0.05). (3)The combination of geodetector and the CA–Markov model results in the accurate prediction of the evolution of KRD and reduction in the arbitrariness of artificial subjective selection factors and the possibility of misjudgement. (4) From 2011 to 2021, the total area of KRD in the study area decreased at a rate of 29.96 km2·a−1, and KRD land indicated an overall trend of improvement. (5) Under the trend of overall improvement of KRD, some areas remain in which KRD increased and worsened. In the process of governance and protection, the impact of such deterioration on ecological environment must be considered.
Fei Chen; Shijie Wang; Xiaoyong Bai; Fang Liu; Yichao Tian; Guangjie Luo; Qin Li; Jingfeng Wang; Luhua Wu; Yue Cao; Huiwen Li; Yuanhong Deng; Chaojun Li; Yujie Yang; Shiqi Tian; Qian Lu; Zheyin Hu; Huipeng Xi. Spatio-temporal evolution and future scenario prediction of karst rocky desertification based on CA–Markov model. Arabian Journal of Geosciences 2021, 14, 1 -13.
AMA StyleFei Chen, Shijie Wang, Xiaoyong Bai, Fang Liu, Yichao Tian, Guangjie Luo, Qin Li, Jingfeng Wang, Luhua Wu, Yue Cao, Huiwen Li, Yuanhong Deng, Chaojun Li, Yujie Yang, Shiqi Tian, Qian Lu, Zheyin Hu, Huipeng Xi. Spatio-temporal evolution and future scenario prediction of karst rocky desertification based on CA–Markov model. Arabian Journal of Geosciences. 2021; 14 (13):1-13.
Chicago/Turabian StyleFei Chen; Shijie Wang; Xiaoyong Bai; Fang Liu; Yichao Tian; Guangjie Luo; Qin Li; Jingfeng Wang; Luhua Wu; Yue Cao; Huiwen Li; Yuanhong Deng; Chaojun Li; Yujie Yang; Shiqi Tian; Qian Lu; Zheyin Hu; Huipeng Xi. 2021. "Spatio-temporal evolution and future scenario prediction of karst rocky desertification based on CA–Markov model." Arabian Journal of Geosciences 14, no. 13: 1-13.
Eco-hydrological processes affect the chemical weathering carbon sink (CS) of rocks. However, due to data quality limitations, the magnitude of the CS of rocks and their responses to eco-hydrological processes are not accurately understood. Therefore, based on Global Erosion Model for CO2 fluxes (GEM-CO2 model), hydrological site data, and multi-source remote sensing data, we produced a 0.05° × 0.05° resolution dataset of CS for 11 types of rocks from 2001 to 2018. The results show that the total amount of CS of global rocks is 0.32 ± 0.02 Pg C, with an average flux of 2.7 t C km-2yr-1, accounting for 53% and 3% of the “missing” carbon sink and fossil fuel emissions, respectively. This is 23% higher than previous research results, which may be due to the increased resolution. Although about 60% of the CS of global rocks are in a stable state, there are obvious differences among rocks. For example, the CS of carbonate rocks exhibited a significant increase (0.30 Tg C/yr), while the CS of siliceous clastic sedimentary rocks exhibited a significant decrease (−0.06 Tg C/yr). Although temperature is an important factor affecting the CS, the proportion of soil moisture in arid and temperate climate zones is higher (accounting for 24%), which is 3.6 times that of temperature. Simulations based on representative concentration pathways scenarios indicate that the global CS of rocks may increase by about 28% from 2050 to 2100. In short, we produced a set of high-resolution datasets for the CS of global rocks, which makes up for the lack of datasets in previous studies and improves our understanding of the magnitude and spatial pattern of the CS and its responses to eco-hydrological processes.
Huipeng Xi; Shijie Wang; Xiaoyong Bai; Hong Tang; Guangjie Luo; Huiwen Li; Luhua Wu; Chaojun Li; Huan Chen; Chen Ran; Xuling Luo. The responses of weathering carbon sink to eco-hydrological processes in global rocks. Science of The Total Environment 2021, 788, 147706 .
AMA StyleHuipeng Xi, Shijie Wang, Xiaoyong Bai, Hong Tang, Guangjie Luo, Huiwen Li, Luhua Wu, Chaojun Li, Huan Chen, Chen Ran, Xuling Luo. The responses of weathering carbon sink to eco-hydrological processes in global rocks. Science of The Total Environment. 2021; 788 ():147706.
Chicago/Turabian StyleHuipeng Xi; Shijie Wang; Xiaoyong Bai; Hong Tang; Guangjie Luo; Huiwen Li; Luhua Wu; Chaojun Li; Huan Chen; Chen Ran; Xuling Luo. 2021. "The responses of weathering carbon sink to eco-hydrological processes in global rocks." Science of The Total Environment 788, no. : 147706.
Silicate rock weathering maintains a stable and long‐term absorption of CO2. However, the magnitude, spatial pattern, and evolution characteristics of global silicate rock weathering carbon sink (SCS) remain unclear. To solve this problem, based on high‐precision hydrometeorological data (1996–2017) and CMIP5 data (2041–2060), using the Celine model, we calculated the global silicate rock weathering carbon sink flux (SCSF) magnitude and spatio‐temporal distribution for 1996–2017. We also predicted the SCSF under two future greenhouse gas emission scenarios (RCP 4.5 and RCP 8.5). Then, we produced a spatial data set (0.5 × 0.5) of global SCSF from 1996 to 2017 and found that the global average annual SCSF was 1.67 t/km2/yr, and the SCS was 127.11 Tg/yr. In particular, Brazil's silicate rock contribution accounts for nearly a quarter of the global SCS (24.41%). Although the GEM‐CO2 model is now widely used, the SCSF, without considering the temperature, may be overestimated by 5.4%, and the maximum contribution of temperature to it can reach 240 kg/km2/yr. Moreover, the global SCS is now showing a downward trend, but the global emission of greenhouse gases in the future (2041–2060) will continue to increase the carbon sink capacity (23.8%) due to temperature changes. In summary, we have produced a set of high‐resolution spatiotemporal data of the past and the future. The above results fill up the large‐scale data gap of SCSF and provide a scientific basis for quantitatively assessing the impact of climate change on SCS.
Sirui Zhang; Xiaoyong Bai; Cuiwei Zhao; Qiu Tan; Guangjie Luo; Jinfeng Wang; Qin Li; Luhua Wu; Fei Chen; Chaojun Li; Yuanhong Deng; Yujie Yang; Huipeng Xi. Global CO 2 Consumption by Silicate Rock Chemical Weathering: Its Past and Future. Earth's Future 2021, 9, 1 .
AMA StyleSirui Zhang, Xiaoyong Bai, Cuiwei Zhao, Qiu Tan, Guangjie Luo, Jinfeng Wang, Qin Li, Luhua Wu, Fei Chen, Chaojun Li, Yuanhong Deng, Yujie Yang, Huipeng Xi. Global CO 2 Consumption by Silicate Rock Chemical Weathering: Its Past and Future. Earth's Future. 2021; 9 (5):1.
Chicago/Turabian StyleSirui Zhang; Xiaoyong Bai; Cuiwei Zhao; Qiu Tan; Guangjie Luo; Jinfeng Wang; Qin Li; Luhua Wu; Fei Chen; Chaojun Li; Yuanhong Deng; Yujie Yang; Huipeng Xi. 2021. "Global CO 2 Consumption by Silicate Rock Chemical Weathering: Its Past and Future." Earth's Future 9, no. 5: 1.
Ecosystem services (ESs) synergies have been broadly studied, whose synergy control areas and driving mechanisms were still not fully understood. Here, We analyzed Soil Conservation (SC), Water Yield (WY), Net Primary Productivity (NPP) and Food Supply (FS) on the basis of geospatial analysis techniques from 1992 to 2015. The results showed that the SW karst areas contributed 23.7% of SC and 14.56% of NPP with only 8.4% of China's continent. 49.28% of China’s land was synergy control areas, while accounted for 82.23% in the SW karst areas. The cause of this phenomenon was twofold, one was the significant increased in NDVI was mainly due to Human Activities (HA), and the coincidence rates between the HA dominated areas and the synergies control areas up to 90.7%. These results emphasized that ecological engineering was a key factor of the synergy among multi-ESs, the synergy control areas should be priority for ecological restoration.
Min Liu; Xiaoyong Bai; Qiu Tan; Guangjie Luo; Cuiwei Zhao; Luhua Wu; Zeyin Hu; Chen Ran; Yuanhong Deng. Monitoring impacts of ecological engineering on ecosystem services with geospatial techniques in karst areas of SW China. Geocarto International 2021, 1 -16.
AMA StyleMin Liu, Xiaoyong Bai, Qiu Tan, Guangjie Luo, Cuiwei Zhao, Luhua Wu, Zeyin Hu, Chen Ran, Yuanhong Deng. Monitoring impacts of ecological engineering on ecosystem services with geospatial techniques in karst areas of SW China. Geocarto International. 2021; ():1-16.
Chicago/Turabian StyleMin Liu; Xiaoyong Bai; Qiu Tan; Guangjie Luo; Cuiwei Zhao; Luhua Wu; Zeyin Hu; Chen Ran; Yuanhong Deng. 2021. "Monitoring impacts of ecological engineering on ecosystem services with geospatial techniques in karst areas of SW China." Geocarto International , no. : 1-16.
Understanding the spatial distribution pattern and driving factors behind ecosystem health is beneficial to ecosystem management and restoration. However, the literature shows little in‐depth exploration of regional heterogeneity and the factors that influence ecosystem health on a global scale. This study assesses global ecosystem health for the period 2000–2015 based on the VORS (vigor, organization, resilience, and service) model, and it explores the factors that influence regional differences in ecosystem health. Our results show that (1) regions with high levels of ecosystem health are distributed mainly near the equator and within the north‐south regression line (0°N–13°N, 0°S–18°S); (2) seven critical zones with high levels of ecosystem health are identified (13°N–18°S, 45°N–65°N, 35°S–56°S, 47°W–80°W, 120°W–130°W, 8°E–37°E, 92°E–157°E); and (3) average annual precipitation and soil moisture play a key role in ecosystem health globally, with correlations of 0.574 and 0.399, respectively. Socioeconomic factors act as bridges, linking and reinforcing the influence of other factors in areas with medium to low levels of ecosystem health. Our study contributed to better understanding of ecosystem health, filled gaps in global ecosystem health diagnosis, and provided reference points for management and recovery of ecosystems. This article is protected by copyright. All rights reserved.
Chen Ran; Shijie Wang; Xiaoyong Bai; Qiu Tan; Luhua Wu; Xuling Luo; Huan Chen; Huipeng Xi; Qian Lu. Evaluation of temporal and spatial changes of global ecosystem health. Land Degradation & Development 2020, 32, 1500 -1512.
AMA StyleChen Ran, Shijie Wang, Xiaoyong Bai, Qiu Tan, Luhua Wu, Xuling Luo, Huan Chen, Huipeng Xi, Qian Lu. Evaluation of temporal and spatial changes of global ecosystem health. Land Degradation & Development. 2020; 32 (3):1500-1512.
Chicago/Turabian StyleChen Ran; Shijie Wang; Xiaoyong Bai; Qiu Tan; Luhua Wu; Xuling Luo; Huan Chen; Huipeng Xi; Qian Lu. 2020. "Evaluation of temporal and spatial changes of global ecosystem health." Land Degradation & Development 32, no. 3: 1500-1512.
To establish an evaluation method for the ecological benefits of rocky desertification control in karst areas, data reference was provided for the benefits of the national comprehensive control project of rocky desertification. This article analyzed the spatiotemporal variation characteristics of soil conservation, water yield, and net primary productivity (NPP) of southwestern China using GIS spatial analysis technology and INVEST Model, the trade-offs and synergistic relationship between ecosystem services and its influencing factors were discussed. The results showed that: (1) During the 15 years, the average value of ecosystem services showed an increasing trend. NPP, water yield, and soil conservation were increased by 43.04 gC/m2, 4.37 mm, and 15.4 t·ha−1, respectively. (2) There was a synergistic relationship between NPP and soil conservation. Increased NPP could improve soil erosion, while water yield exhibited trade-off relationship with NPP and soil conservation. (3) Over the past 15 years, the average comprehensive score of the ecological condition in the study area has increased from 0.30 to 0.31, meanwhile the ecological situation of the study area is gradually improved. (4) Through the analysis of hotspots, we found that more than half of the regions had no hotspots for ecosystem services, meanwhile this region was mainly karst area. Through this study, the trade-offs and synergies between ecosystem services were understood. The ecological benefits of rocky desertification control were evaluated based on the background of ecosystem services, which also provided a reference for the subsequent research on rocky desertification control.
Chen Ran; Shijie Wang; Xiaoyong Bai; Qiu Tan; Cuiwei Zhao; Xuling Luo; Huan Chen; Huipeng Xi. Trade-Offs and Synergies of Ecosystem Services in Southwestern China. Environmental Engineering Science 2020, 37, 669 -678.
AMA StyleChen Ran, Shijie Wang, Xiaoyong Bai, Qiu Tan, Cuiwei Zhao, Xuling Luo, Huan Chen, Huipeng Xi. Trade-Offs and Synergies of Ecosystem Services in Southwestern China. Environmental Engineering Science. 2020; 37 (10):669-678.
Chicago/Turabian StyleChen Ran; Shijie Wang; Xiaoyong Bai; Qiu Tan; Cuiwei Zhao; Xuling Luo; Huan Chen; Huipeng Xi. 2020. "Trade-Offs and Synergies of Ecosystem Services in Southwestern China." Environmental Engineering Science 37, no. 10: 669-678.
Vegetation greening and soil drying, which are simultaneously observed, have brought controversy about whether vegetation greening leads to soil drying or wetting. Relevant conclusions from previous small-scale research are uncertain worldwide, and the indirect effects of climate via vegetation change on soil moisture (SM) are poorly understood. Here, to explore the effects of vegetation greening on SM change, the patterns of SM trends (wetting to more wetting (W to W), wetting to drying (W to D), drying to wetting (D to W) and drying to more drying (D to D)) were identified in the global vegetation greening (GVG) areas from 1982 to 2015 by using the turning years in the quantity of vegetation greenness and then validated by structural equation model (SEM) and 400 ground stations. The main results are as follows: 1) In the study period, 65.87% (33.57%, Sig.) of the GVG areas featured soil drying including the southeast of the United States, Africa north of the equator, the inland of Europe, the south of China and the inland of Australia, which were mainly from grasslands, barren, savannas, open shrublands, woody savannas and croplands. 2) Vegetation significantly and negatively influenced the average SM of global greening and drying areas, and their climate was arider than that in global greening and wetting areas. 3) Soil in over half of the GVG areas was toward drying after vegetation greenness increased but only the D to D pattern was mainly distributed in drylands (Semi-arid, Arid and Hyper-arid areas) such as the Loess Plateau of China and eastern Australia. The W to W and W to D patterns were remarkably observed in the in-situ SM. 4) SEM showed that the direct effects of vegetation increase on W to W and D to D patterns were stronger than those of temperature and precipitation, especially that the indirect effect of temperature on D to D pattern via promoting vegetation greening outweighed the direct effect of temperature. Overall, the increase in vegetation mainly caused by climate warming has exacerbated the tendency of soil drying in some drylands. Therefore, vegetation restoration or forestry management requires the consideration of local SM-carrying capacity for plants, especially in Semi-arid and Arid ecosystems.
Yuanhong Deng; Shijie Wang; Xiaoyong Bai; Guangjie Luo; Luhua Wu; Fei Chen; Jinfeng Wang; Chaojun Li; Yujie Yang; Zeyin Hu; Shiqi Tian; Qian Lu. Vegetation greening intensified soil drying in some semi-arid and arid areas of the world. Agricultural and Forest Meteorology 2020, 292-293, 108103 .
AMA StyleYuanhong Deng, Shijie Wang, Xiaoyong Bai, Guangjie Luo, Luhua Wu, Fei Chen, Jinfeng Wang, Chaojun Li, Yujie Yang, Zeyin Hu, Shiqi Tian, Qian Lu. Vegetation greening intensified soil drying in some semi-arid and arid areas of the world. Agricultural and Forest Meteorology. 2020; 292-293 ():108103.
Chicago/Turabian StyleYuanhong Deng; Shijie Wang; Xiaoyong Bai; Guangjie Luo; Luhua Wu; Fei Chen; Jinfeng Wang; Chaojun Li; Yujie Yang; Zeyin Hu; Shiqi Tian; Qian Lu. 2020. "Vegetation greening intensified soil drying in some semi-arid and arid areas of the world." Agricultural and Forest Meteorology 292-293, no. : 108103.
Karst ecosystem services (ESs), the key components of global terrestrial ESs, play a crucial role in human welfare and livelihood. However, the spatiotemporal changes of ecosystem service values (ESVs) in the karst areas of China remain unclear. In this paper, land use/land cover (LULC) data were used to estimate the ESVs changes during 1992–2015 by the benefit transfer method, to reveal its spatial heterogeneity and to explain the sensitivity of ESVs to land use change. The results indicated that the ESVs were increased by US$ 23.42 billion at 0.10%·yr−1 due to the LULC changes in over 15% of the total karst areas in China, while those in the non-karst areas were reduced by US$ 32.87 billion at 0.14%·yr−1. In particular, the value of the regulation services contributed 69.05% to the total ESVs in the karst area, followed by support services (18.23%), provision services (8.54%), and cultural services (4.15%). The net change of ESVs showed a spatial heterogeneity, i.e. ESVs in the Northwest and North part of southwest increased, but that in the northeast and eastern part of southwest decreased. The ESVs were more sensitive to the bidirectional land conversion than the unidirectional conversion. These results provide an important scientific basis for ecological restoration and reconstruction of karst areas.
Zeyin Hu; Shijie Wang; Xiaoyong Bai; Guangjie Luo; Qin Li; Luhua Wu; Yujie Yang; Shiqi Tian; Chaojun Li; Yuanhong Deng. Changes in ecosystem service values in karst areas of China. Agriculture, Ecosystems & Environment 2020, 301, 107026 .
AMA StyleZeyin Hu, Shijie Wang, Xiaoyong Bai, Guangjie Luo, Qin Li, Luhua Wu, Yujie Yang, Shiqi Tian, Chaojun Li, Yuanhong Deng. Changes in ecosystem service values in karst areas of China. Agriculture, Ecosystems & Environment. 2020; 301 ():107026.
Chicago/Turabian StyleZeyin Hu; Shijie Wang; Xiaoyong Bai; Guangjie Luo; Qin Li; Luhua Wu; Yujie Yang; Shiqi Tian; Chaojun Li; Yuanhong Deng. 2020. "Changes in ecosystem service values in karst areas of China." Agriculture, Ecosystems & Environment 301, no. : 107026.
Land use affects the accumulation of heavy metals in soil, which will endanger ecological safety and human health. Taking the village as an administrative unit, the ecological safety and health risks of heavy metals, namely, Cr, Cu, Zn, and Pb in soils in the Houzhai River Watershed of Guizhou Province, China, were evaluated based on land use types by the Hakanson potential ecological risk methods and human health risk model. Results showed that the spatial heterogeneity of Cu and Zn was greatly affected by primary structural factors, and Cr and Pb were interfered by both structural factors and human activities. The geo-accumulation index of the heavy metals showed a light pollution in the study area. The comprehensive potential ecological risk of heavy metal in the area was divided into three levels: slight, moderate, and intense, and it is spatially high in the northwest and low in the southeast. Both non-carcinogenic risk and carcinogenic risk of the heavy metals to the human body are not significant and are acceptable. The risks of children are higher than adults, and direct intake is the primary route of exposure in the area. The potential ecological risk and human health risk of soil heavy metals are relatively obviously affected by digital elevation data and normalized vegetation index. The study has certain reference value for the prevention and control of regional soil heavy metal risk.
Shiqi Tian; Shijie Wang; Xiaoyong Bai; Dequan Zhou; Guangjie Luo; Yujie Yang; Zeyin Hu; Chaojun Li; Yuanhong Deng; Qian Lu. Ecological security and health risk assessment of soil heavy metals on a village-level scale, based on different land use types. Environmental Geochemistry and Health 2020, 42, 3393 -3413.
AMA StyleShiqi Tian, Shijie Wang, Xiaoyong Bai, Dequan Zhou, Guangjie Luo, Yujie Yang, Zeyin Hu, Chaojun Li, Yuanhong Deng, Qian Lu. Ecological security and health risk assessment of soil heavy metals on a village-level scale, based on different land use types. Environmental Geochemistry and Health. 2020; 42 (10):3393-3413.
Chicago/Turabian StyleShiqi Tian; Shijie Wang; Xiaoyong Bai; Dequan Zhou; Guangjie Luo; Yujie Yang; Zeyin Hu; Chaojun Li; Yuanhong Deng; Qian Lu. 2020. "Ecological security and health risk assessment of soil heavy metals on a village-level scale, based on different land use types." Environmental Geochemistry and Health 42, no. 10: 3393-3413.
China has conducted large-scale eco-afforestation projects in karst areas for mitigating rocky desertification in recent decades. However, the benefits of karst vegetation productivity restoration and the contributions of influencing factors are unclear. We analyzed the impacts of climate change (CC) and human activity (HA) on vegetation productivity change based on the net primary productivity (NPP) by using the partial derivatives and designing eight different scenarios. Results demonstrated that the average NPP over the entire vegetation-covered karst area exhibited an unremarkable increasing trend (0.92 g C m−2 yr−1) and a major decline in NPP was detected in the areas where NDVI increased from 2000 to 2015 (0.44 million km2, 29.07%). Solar radiation (−0.91 g C m−2 yr−1) was the preponderant climatic factors exhibiting negative contribution to NPP changes. A significant positive contribution was caused by HA (1.53 g C m−2 yr−1) on NPP variations, while a negative contribution was induced by CC (−0.61 g C m−2 yr−1). CC and HA showed the more similar contribution proportion to NPP increasing (51.94% vs 48.06%), but with great difference (68.43% vs 31.57%) for NPP decreasing. 39.83% of the areas involved in NPP decreasing was attributed to the accelerating consumption of autotrophic respiration while the rest (60.17%) was contributed by rapid decrease of gross primary productivity, respectively. In southern karst area, HA showed a positive impact (59.07%) on NPP increasing. However, the negative contribution from CC (70.72%) due to the rapid and constant decline of solar radiation completely counteracted this, leading to a greater NPP decrease. This study stresses the importance of negative effect from CC on karst vegetation productivity change and provides location guidance for further implementation of ecological protection projects in southern China.
Luhua Wu; Shijie Wang; Xiaoyong Bai; Yichao Tian; Guangjie Luo; Jinfeng Wang; Qin Li; Fei Chen; Yuanhong Deng; Yujie Yang; Zeyin Hu. Climate change weakens the positive effect of human activities on karst vegetation productivity restoration in southern China. Ecological Indicators 2020, 115, 106392 .
AMA StyleLuhua Wu, Shijie Wang, Xiaoyong Bai, Yichao Tian, Guangjie Luo, Jinfeng Wang, Qin Li, Fei Chen, Yuanhong Deng, Yujie Yang, Zeyin Hu. Climate change weakens the positive effect of human activities on karst vegetation productivity restoration in southern China. Ecological Indicators. 2020; 115 ():106392.
Chicago/Turabian StyleLuhua Wu; Shijie Wang; Xiaoyong Bai; Yichao Tian; Guangjie Luo; Jinfeng Wang; Qin Li; Fei Chen; Yuanhong Deng; Yujie Yang; Zeyin Hu. 2020. "Climate change weakens the positive effect of human activities on karst vegetation productivity restoration in southern China." Ecological Indicators 115, no. : 106392.
Regional ecological security diagnosis is the most basic prerequisite for environmental management and restoration. However, the traditional single method is greatly affected by human and difficult to quickly identify. Thus, This paper combined principal component analysis and unsupervised k-means clustering algorithm to provide a fast and efficient method for safety evaluation of environmental management. Basing on this method, the clustering result was defined as five different levels of ecological safety zone combining with the principle of place name + landform + danger degree. The results showed that there were more than half of the study area were unsafe (56.3%), what was even more surprising was that there were many high-value of NDVI and NPP in these areas. The partition result was finally verified in order to ensure the accuracy of the partition, and it had been proved that the ecological environment is not necessarily safe where in the areas with good vegetation coverage. This article provided a new technical reference for the evaluation of ecological areas.
Xiaoyong Bai; Huan Chen. Ecological security assessment for environmental restoration and management in SW China. 2020, 1 .
AMA StyleXiaoyong Bai, Huan Chen. Ecological security assessment for environmental restoration and management in SW China. . 2020; ():1.
Chicago/Turabian StyleXiaoyong Bai; Huan Chen. 2020. "Ecological security assessment for environmental restoration and management in SW China." , no. : 1.
Soil moisture is one of the restricting factors in a fragile karst ecological environment. However, its spatiotemporal evolution characteristics in the karst areas of China remain poorly understood. Thus, based on soil moisture from reanalysis (ERA-Interim product) and ground stations, this study used the Mann-Kendall test, the Theil-Sen slope estimator, sensitivity analysis and stepwise regression and obtained the following results: 1) ERA-Interim soil moisture well reflected the interannual change of observational soil moisture at 0–7, 7–28 and 28–100 cm. 2) The reanalysis and station data showed that soil at various depths in the karst areas was dominated by a drying trend in 1982–2015. 3) Soil moisture in karst areas of southern China was high but decreased fastest. In the karst areas of northern China, soil moisture was low and declined quickly. Nevertheless, soil wetting was observed in the central karst areas of Qinghai-Tibet Plateau. 4) Changes of soil moisture throughout the karst region of China and its subareas were mainly affected by precipitation, followed by temperature. 5) In Qinghai-Tibet Plateau and southern China, soil moisture in karst areas is overall higher than that in non-karst areas when under low vegetation coverage levels (NDVI ≤ 0.3) of some climate zones, possibly caused by the centralized allocation of precipitation in karst areas due to exposed rocks. In conclusion, climate, vegetation, and geological background make the spatiotemporal distributions of soil moisture differ within the karst region, while the soil drying trend in recent decades and global climate change are not conducive to the ecological restoration of vulnerable karst areas.
Yuanhong Deng; Shijie Wang; Xiaoyong Bai; Guangjie Luo; Luhua Wu; Fei Chen; Jinfeng Wang; Qin Li; Chaojun Li; Yujie Yang; Zeyin Hu; Shiqi Tian. Spatiotemporal dynamics of soil moisture in the karst areas of China based on reanalysis and observations data. Journal of Hydrology 2020, 585, 124744 .
AMA StyleYuanhong Deng, Shijie Wang, Xiaoyong Bai, Guangjie Luo, Luhua Wu, Fei Chen, Jinfeng Wang, Qin Li, Chaojun Li, Yujie Yang, Zeyin Hu, Shiqi Tian. Spatiotemporal dynamics of soil moisture in the karst areas of China based on reanalysis and observations data. Journal of Hydrology. 2020; 585 ():124744.
Chicago/Turabian StyleYuanhong Deng; Shijie Wang; Xiaoyong Bai; Guangjie Luo; Luhua Wu; Fei Chen; Jinfeng Wang; Qin Li; Chaojun Li; Yujie Yang; Zeyin Hu; Shiqi Tian. 2020. "Spatiotemporal dynamics of soil moisture in the karst areas of China based on reanalysis and observations data." Journal of Hydrology 585, no. : 124744.
Southwest China is the largest continuous karst area in the world, which has suffered from serious ecological degradation. Many researchers have discussed the fragility of karst ecosystem and environment (KEE). However, these studies focused mainly on the particular karst geologic setting and short-term (annual) eco-environmental changes. At longer timescales, knowledge of how KEE responds to external disturbances such as climate changes and human activities is very limited. Based on geochemical analysis of lake sediments in the karst region of Southwest China (KRSC), this paper probes into the evolutionary characteristics of KEE at decadal-centurial timescales. Organic C/N ratios, Sr/Rb ratios and pollen assemblage in Baixian Lake indicate that striking eco-environmental deterioration occurred as a result of the drought event between 3.6 ka B.P. and 2.2 ka B.P. The regional vegetation degraded with dwindling herbs, increasing ferns and decreasing terrestrial productivity. Furthermore, the karst ecosystem had not restored to the earlier level even after a long time. Once degradation happens, the karst ecosystem would be unlikely to recover in the short term. Poor water-soil conservation capacity and weak drought resistance of karst soil should be the inherent mechanism of the fragility of terrestrial KEE. Hongfeng Lake has suffered from rapid eutrophication in the last three decades. Reservoirs respond more sensitively to agricultural N and P addition because of abundant dissolved inorganic carbon (DIC) supply from the carbonate catchment in karst region than in non-karst region. A positive feedback loop may develop among elevated primary productivity, higher deposition fluxes of organic matter, anoxia in hypolimnion and enhanced internal P release in aquatic ecosystem. This positive feedback, together with the DIC fertilization effect and sensitivity to agricultural N and P addition, may explain the fragility of aquatic KEE. This paper for the first time presents a long-term evidence for the fragility of both terrestrial and aquatic ecosystem in the KRSC, and provides new insights into the sensitivity and resilience of KEE to climate change and agricultural activities, highlighting the extreme importance of eco-environment protection in karst region.
Jingan Chen; Jia Yu; Xiaoyong Bai; Yan Zeng; Jingfu Wang. Fragility of karst ecosystem and environment: Long-term evidence from lake sediments. Agriculture, Ecosystems & Environment 2020, 294, 106862 .
AMA StyleJingan Chen, Jia Yu, Xiaoyong Bai, Yan Zeng, Jingfu Wang. Fragility of karst ecosystem and environment: Long-term evidence from lake sediments. Agriculture, Ecosystems & Environment. 2020; 294 ():106862.
Chicago/Turabian StyleJingan Chen; Jia Yu; Xiaoyong Bai; Yan Zeng; Jingfu Wang. 2020. "Fragility of karst ecosystem and environment: Long-term evidence from lake sediments." Agriculture, Ecosystems & Environment 294, no. : 106862.
Risk assessments and source analyses are important tools for the control of heavy metal soil pollution. In this study, the receptor model positive matrix factor method (PMF) and the health risk model are used to quantitatively evaluate the human health risks (carcinogenic and non-carcinogenic) of different pollution sources. The results showed that nickel, copper, and lead were significantly enriched due to human activities. The PMF model identified four pollution sources, among which agricultural activities contributed the most to soil heavy metal contamination (33.72%). Although the non-carcinogenic and carcinogenic risks to children were higher than those of adults, the health risks to both cohorts showed the same trend in the different land-use types. In terms of cancer risk, agricultural activities were the largest source of pollution, accounting for 37%, 41%, and 38% of the carcinogenic risk in construction, agricultural, and forest lands, respectively. Non-carcinogenic risks were primarily due to industrial emissions, and industrial activity was second only to agricultural activity in carcinogenic risk. This suggests that sources that contain dangerous heavy metals, such as Cr may lead to higher health risks. The results of this study provide a scientific basis for the quantitative assessment of health risks under different land-use.
Qian Lu; Shijie Wang; Xiaoyong Bai; Fang Liu; Chaojun Li; Yuanhong Deng; Shiqi Tian. Quantitative assessment of human health risks under different land uses based on soil heavy metal pollution sources. Human and Ecological Risk Assessment: An International Journal 2020, 27, 327 -343.
AMA StyleQian Lu, Shijie Wang, Xiaoyong Bai, Fang Liu, Chaojun Li, Yuanhong Deng, Shiqi Tian. Quantitative assessment of human health risks under different land uses based on soil heavy metal pollution sources. Human and Ecological Risk Assessment: An International Journal. 2020; 27 (2):327-343.
Chicago/Turabian StyleQian Lu; Shijie Wang; Xiaoyong Bai; Fang Liu; Chaojun Li; Yuanhong Deng; Shiqi Tian. 2020. "Quantitative assessment of human health risks under different land uses based on soil heavy metal pollution sources." Human and Ecological Risk Assessment: An International Journal 27, no. 2: 327-343.
Spatialization of soil formation rate (SFR) is always a difficult problem in soil genesis. In this study, the dissolution rate in karst areas of China during the period 1983–2015 was estimated on the basis of geospatial analysis techniques and detection of variation via the law of chemical thermodynamics in conjunction with long-term serial ecohydrology data. SFR at different lithological backgrounds was calculated on the basis of the content of acid-insoluble substances. Results showed that the spatial dissolution rate of carbonate rock ranges between 0 and 106 mm/ka, averaged at 22.51 mm/ka, and the SFR ranges between 10 and 134.93 t km−2 yr−1, averaged at 18.59 t km−2 yr−1. The dissolution rate and SFR exhibit a slight increasing trend with 0.04 mm/ka and 0.003 t km−2 yr−1, respectively. The risk for soil erosion was reevaluated on the basis of the SFR results, and the area with erosion risk and the ecologically safe area were corrected. Results indicated that the area with erosion risk is four times higher than the ecologically safe area. This study will hopefully instigate and facilitate the application and popularization of geospatial analysis technology to the research field of rock weathering and soil formation.
Qin Li; Shijie Wang; Xiaoyong Bai; Guangjie Luo; Xiaoqing Song; Yichao Tian; Zeyin Hu; Yujie Yang; Shiqi Tian. Change Detection of Soil Formation Rate in Space and Time Based on Multi Source Data and Geospatial Analysis Techniques. Remote Sensing 2020, 12, 121 .
AMA StyleQin Li, Shijie Wang, Xiaoyong Bai, Guangjie Luo, Xiaoqing Song, Yichao Tian, Zeyin Hu, Yujie Yang, Shiqi Tian. Change Detection of Soil Formation Rate in Space and Time Based on Multi Source Data and Geospatial Analysis Techniques. Remote Sensing. 2020; 12 (1):121.
Chicago/Turabian StyleQin Li; Shijie Wang; Xiaoyong Bai; Guangjie Luo; Xiaoqing Song; Yichao Tian; Zeyin Hu; Yujie Yang; Shiqi Tian. 2020. "Change Detection of Soil Formation Rate in Space and Time Based on Multi Source Data and Geospatial Analysis Techniques." Remote Sensing 12, no. 1: 121.
In order to obtain Pb content in soil quickly and efficiently, a multivariate linear regression (MLR) and a principal component regression (PCR) Pb content estimation model were established on the basis of hyperspectral techniques, and their applicability in different soil types was evaluated. Results indicated that Pb exhibited strong spatial heterogeneity in the study area, and more than 82% of the samples exceeded the background value. In addition, the pollution range was large. Pb was sensitive in the near-infrared band, and the correlation of absorbance (AB) was most significant of all the transformed forms. Both models achieved optimal stability and reliability when AB was used as an independent variable. Compared with the PCR model, the stability, fitting accuracy, and predictive power of the MLR model were superior with a coefficient of determination, root mean square error, and mean relative error of 0.724%, 24.92%, and 28.22%, respectively. Both models could be applied to different soil types; however, MLR had better applicability compared with PCR. The PCR model that distinguished different soil types had better reliability than one that did not. Thus, the model established via hyperspectral techniques can achieve large-area, rapid, and efficient soil Pb content monitoring, which can provide technical support for the treatment of heavy metal pollution in soil.
Shiqi Tian; Shijie Wang; Xiaoyong Bai; Dequan Zhou; Qian Lu; Mingming Wang; Jinfeng Wang. Hyperspectral estimation model of soil Pb content and its applicability in different soil types. Acta Geochimica 2019, 39, 423 -433.
AMA StyleShiqi Tian, Shijie Wang, Xiaoyong Bai, Dequan Zhou, Qian Lu, Mingming Wang, Jinfeng Wang. Hyperspectral estimation model of soil Pb content and its applicability in different soil types. Acta Geochimica. 2019; 39 (3):423-433.
Chicago/Turabian StyleShiqi Tian; Shijie Wang; Xiaoyong Bai; Dequan Zhou; Qian Lu; Mingming Wang; Jinfeng Wang. 2019. "Hyperspectral estimation model of soil Pb content and its applicability in different soil types." Acta Geochimica 39, no. 3: 423-433.
Soil moisture (SM) is a comprehensive variable of terrestrial ecosystems. However, the global SM trend in recent decades and the future is uncertain, and the main factors causing soil drying and wetting are not fully understood. This study using Extended Triple Collation, Mann-Kendall test, Theil-Sen estimate, Hurst exponent, Ensemble Empirical Mode Decomposition and pertinent methods found that 1) at the pixel scale, the long-term daily SM data from ERA-Interim was closest to the true SM compared with ESA CCI and GLDAS; 2) the global average SM in 1979–2017 decreased remarkably and the declining trend accelerated in 2001–2017; 3) soil drying was observed in seven major land covers; among which, urban area has the largest area proportion of soil drying, about 80%; 4) the strong persistence of SM trend indicates that the global future soil will continuously be dominated by a drying trend; 5) overall, 65.1% of the global soil drying trend was attributed to temperature rising, whereas 82% of the wetting trend was affected by the combined action of temperature, precipitation, and NDVI. Under global warming, the soil drying area expanded at a rate of 1% yr−1 in 1979–2017 and the global SM will keep diminishing in the next years, which may increase the risks of extreme heatwaves, water resources shortage, land degradation, and other eco-environmental problems.
Yuanhong Deng; Shijie Wang; Xiaoyong Bai; Guangjie Luo; Luhua Wu; Yue Cao; Huiwen Li; Chaojun Li; Yujie Yang; Zeyin Hu; Shiqi Tian. Variation trend of global soil moisture and its cause analysis. Ecological Indicators 2019, 110, 105939 .
AMA StyleYuanhong Deng, Shijie Wang, Xiaoyong Bai, Guangjie Luo, Luhua Wu, Yue Cao, Huiwen Li, Chaojun Li, Yujie Yang, Zeyin Hu, Shiqi Tian. Variation trend of global soil moisture and its cause analysis. Ecological Indicators. 2019; 110 ():105939.
Chicago/Turabian StyleYuanhong Deng; Shijie Wang; Xiaoyong Bai; Guangjie Luo; Luhua Wu; Yue Cao; Huiwen Li; Chaojun Li; Yujie Yang; Zeyin Hu; Shiqi Tian. 2019. "Variation trend of global soil moisture and its cause analysis." Ecological Indicators 110, no. : 105939.
Karst Rocky Desertification(KRD) has become the most serious ecological disaster in Southwest China.We used the data of Thematic Mapper (TM) images from 1990, 1995, 2000, 2004, and 2011 and the 2016 Operational Land Imager (OLI) image. These sensing images were pre-processed by removing non-karst areas based on lithology and cutting away the land types impossibly generating KRD from land use maps. Then, we used a Classification And Regression Tree (CART) to classify the KRD. We want to improve the interpretation accuracy of KRD through the above steps. The results were as follows: (1) The KRD experiences the evolution process of "first deterioration and then improvement". The rate is -4.94 km2.a-1 over a period of 1990 to 2004, and the rate is 36.48 km2.a-1 from 2004 to 2016; (2) The most influential factors causing KRD formation are the lithology and the resident population density, with contribution rates of 30.17% and 25.86%, respectively.
Fei Chen; Shijie Wang; Xiaoyong Bai; Fang Liu; Dequan Zhou; Yichao Tian; Guangjie Luo; Qin Li; Luhua Wu; Cheng Zheng; Jianyong Xiao; Qinghuan Qian; Yue Cao; Huiwen Li; Mingming Wang; Yujie Yang. Assessing spatial-temporal evolution processes and driving forces of karst rocky desertification. Geocarto International 2019, 36, 262 -280.
AMA StyleFei Chen, Shijie Wang, Xiaoyong Bai, Fang Liu, Dequan Zhou, Yichao Tian, Guangjie Luo, Qin Li, Luhua Wu, Cheng Zheng, Jianyong Xiao, Qinghuan Qian, Yue Cao, Huiwen Li, Mingming Wang, Yujie Yang. Assessing spatial-temporal evolution processes and driving forces of karst rocky desertification. Geocarto International. 2019; 36 (3):262-280.
Chicago/Turabian StyleFei Chen; Shijie Wang; Xiaoyong Bai; Fang Liu; Dequan Zhou; Yichao Tian; Guangjie Luo; Qin Li; Luhua Wu; Cheng Zheng; Jianyong Xiao; Qinghuan Qian; Yue Cao; Huiwen Li; Mingming Wang; Yujie Yang. 2019. "Assessing spatial-temporal evolution processes and driving forces of karst rocky desertification." Geocarto International 36, no. 3: 262-280.