期刊：
Annals of Regional Science,2024年72(3):1015-1045 ISSN：0570-1864
通讯作者：
Yuanyuan Zhu
作者机构：
[Chen, Jing; Li, Xiaojing] College of Urban and Environmental Sciences, Central China Normal University, Wuhan, China;[Zhu, Yuanyuan] Key Laboratory for Geographical Process Analysis and Simulation of Hubei Province, Central China Normal University, Wuhan, China
通讯机构：
[Yuanyuan Zhu] K;Key Laboratory for Geographical Process Analysis and Simulation of Hubei Province, Central China Normal University, Wuhan, China
摘要：
The deteriorating urban thermal environment poses a huge impediment to sustainable urban development, which is closely related to the urban morphology under different urban functional zones (UFZs). By integrating remote sensing and geospatial big data, this work aims to reveal the divergent mechanism behind Urban Heat Island (UHI) across UFZs taking insights from 2D/3D urban morphology. The Minimum Spanning Tree (MST) indicator depicting 3D building distribution was introduced and integrated with the classic indicators. Their impacts on UHI were measured by ensemble learning and SHapley Additive exPlanations (SHAP) model. Taking Wuhan as the study area, the eighteen 2D/3D urban morphology indicators affecting UHI in different locations and UFZs were extensively examined and compared. The results reveal that: 1) The impact of 2D/3D urban morphology indicators on UHI significantly varies across different UFZs, with dominance in transportation zones exhibiting opposite polarity compared to the other types; 2) positive impacts have a decreasing trend from the urban center to the edge, while negative impacts exhibit opposite trend; 3) XGBoost outperforms other classic methods in interpreting the impact of urban morphology on UHI for all UFZ types. The findings improving knowledge of UHI across UFZs will provide a practical guide for urban planning.
关键词：
aridity;biogeography;climate change;deep soil;microbial biodiversity and function;soil depth;water heterogeneity
摘要：
Our results contribute to broader and deeper knowledge of climate change microbiology in deep soil environments under future climate scenarios. We proposes a potential mechanism for the association between climate aridity and deep soil microbes; that is, when the external aridity changes, water evapotranspiration (including plant transpiration and soil water evaporation) is directly and indirectly (e.g., changes in rooting depths and soil texture) affected, and a volumetric soil moisture gradient (related to soil porosity) is formed to primarily drive microorganisms in deep soil. Abstract Microbes inhabiting deep soil layers are known to be different from their counterpart in topsoil yet remain under investigation in terms of their structure, function, and how their diversity is shaped. The microbiome of deep soils (>1 m) is expected to be relatively stable and highly independent from climatic conditions. Much less is known, however, on how these microbial communities vary along climate gradients. Here, we used amplicon sequencing to investigate bacteria, archaea, and fungi along fifteen 18‐m depth profiles at 20–50‐cm intervals across contrasting aridity conditions in semi‐arid forest ecosystems of China's Loess Plateau. Our results showed that bacterial and fungal α diversity and bacterial and archaeal community similarity declined dramatically in topsoil and remained relatively stable in deep soil. Nevertheless, deep soil microbiome still showed the functional potential of N cycling, plant‐derived organic matter degradation, resource exchange, and water coordination. The deep soil microbiome had closer taxa–taxa and bacteria–fungi associations and more influence of dispersal limitation than topsoil microbiome. Geographic distance was more influential in deep soil bacteria and archaea than in topsoil. We further showed that aridity was negatively correlated with deep‐soil archaeal and fungal richness, archaeal community similarity, relative abundance of plant saprotroph, and bacteria–fungi associations, but increased the relative abundance of aerobic ammonia oxidation, manganese oxidation, and arbuscular mycorrhizal in the deep soils. Root depth, complexity, soil volumetric moisture, and clay play bridging roles in the indirect effects of aridity on microbes in deep soils. Our work indicates that, even microbial communities and nutrient cycling in deep soil are susceptible to changes in water availability, with consequences for understanding the sustainability of dryland ecosystems and the whole‐soil in response to aridification. Moreover, we propose that neglecting soil depth may underestimate the role of soil moisture in dryland ecosystems under future climate scenarios.
期刊：
Journal for Nature Conservation,2024年79:126563 ISSN：1617-1381
通讯作者：
Hu, J
作者机构：
[Hu, Jing; Deng, Huangting; Hu, J] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.;[Hu, Jing; Hu, J] China Tourism Acad, Wuhan Branch, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Hu, J ] C;Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.;China Tourism Acad, Wuhan Branch, Wuhan 430079, Hubei, Peoples R China.
关键词：
Resource-based cities;Ecological civilization construction;Tourism development;Coupling and coordination;Obstacle degree
摘要：
Resource-based cities are an important concern for the construction of ecological civilization in China, and developing tourism is an important direction for the transformation of resource-based cities. Based on the mechanism of the coupling and coordination effect of ecological civilization construction and tourism development, four different types of resource-based cities in China, Wuwei City (growing type), Pingliang City (mature type), Baiyin City (declining type) and Zhangye City (regenerative type), were selected as the research area. Based on the improved entropy weight method, coupling coordination model and obstacle model, the evaluation index system of ecological civilization construction and tourism development in resource-based cities was constructed, and its coupling development status and obstacle factors were analyzed. According to the results: (1) From 2013 to 2020, the comprehensive scores of ecological civilization construction of four different types of resource-based cities were higher than that of tourism development. They were divided into two gradients according to the comprehensive score of ecological civilization construction. The first gradient was the regeneration and maturity of resource-based cities, while the other gradient was growth and decline of resource-based cities. The comprehensive score of tourism development of four resource-based cities were regeneration, maturity, growth and decline in turn. (2) The coupling degree between regenerative and mature resource-based cities was the best. All of them were in the period of coordinated coupling during the study period, and the coupling degree tended to 1. (3) The regenerative resource city had the highest degree of coupling and coordination between the two systems, followed by mature, growing and finally declining type. (4) Among growing, mature, and declining resource-based cities, the obstacle degree of the tourism development system layer was always higher than that of the ecological civilization construction system layer, while the result was the opposite for regenerative resource-based cities.
摘要：
In this study, the ecological impact of human activities and the space occupied by construction and arable land on the Tibetan Plateau were examined, focusing on changes in the net primary productivity (NPP) as a key indicator of ecological health. With the utilization of land use data and multiyear average NPP data from 2002 to 2020, we analyzed the effects of the conversion of zonal vegetation into construction and arable land on carbon sequestration and oxygen release in Chengguan District, Lhasa city. Our findings indicated a marked spatial difference in the NPP among different land types. Regarding the original zonal vegetation, the NPP ranged from 0.2 to 0.3kg/m(2). Construction land showed a decrease in the NPP, with values ranging from 0.16 to 0.26kg/m(2), suggesting a decrease in ecological productivity. Conversely, arable land exhibited an increase in the NPP, with average values exceeding 0.3kg/m(2). This increase suggested enhanced productivity, particularly in regions where the original zonal vegetation provided lower NPP values. However, this enhanced productivity may not necessarily indicate a positive ecological change. In fact, such increases could potentially disrupt the natural balance of ecosystems, leading to unforeseen ecological consequences. The original zonal vegetation, with NPP values ranging from 0.12 to 0.43kg/m(2), exhibited higher ecological stability and adaptability than the other land types. This wider NPP range emphasizes the inherent resilience of native vegetation, which could sustain diverse ecological functions under varying environmental conditions. These findings demonstrate the urgent need for sustainable land use management on the Tibetan Plateau. This study highlights the importance of considering the ecological impact of land use changes in regional development strategies, ensuring the preservation and enhancement in the unique and fragile plateau ecosystem.
摘要：
Accurate monitoring of soil organic carbon (SOC) is critical for sustainable management of soil for improving its quality, function, and carbon sequestration. As a nondestructive, efficient, and low-cost technique, mid-infrared (MIR) spectroscopy has shown a great potential in rapid estimation of SOC, despite limited studies of the global scale. The objective of this work was to use a globally distributed topsoil MIR spectral library with 33,039 samples to predict SOC using different modeling methods. Effects of nine fractional-order derivatives (FODs) on the predicted accuracy of SOC were evaluated using four regression algorithms (i.e., ratio index-based linear regression, RI-LR; partial least squares regression, PLSR; Cubist; convolutional neural network, CNN). Square-root transformation to SOC data was performed to minimize the skewness and non-linearity. Results indicated FOD to capture the subtle spectral details related to SOC, leading to improved predictions that may not be possible by the raw absorbance and common integer-order derivatives. Concerning the RI-LR models, the optimal validation result for SOC was obtained by 0.75-order derivative, with the ratio of performance to inter-quartile distance (RPIQ) of 1.85. Regarding the full-spectrum modeling for SOC, the CNN outperformed PLSR and Cubist models, irrespective of raw absorbance or eight FODs; the best-performing CNN model was achieved by 1.25-order derivative (validation RPIQ = 6.33). It can be concluded that accurate estimation of SOC using large and diverse MIR spectral library at the global scale combined with deep-learning CNN model is feasible. This global-scale database is extremely valuable for us to deal with the shortage of soil data and to monitor the soils at different geographical scales.
期刊：
GEOPHYSICAL RESEARCH LETTERS,2024年51(5):e2023GL107316- ISSN：0094-8276
通讯作者：
Yin, GF
作者机构：
[Yin, Gaofei; Yin, GF; Wang, Changjing; Ma, Dujuan; Xie, Jiangliu; Chen, Rui; Wu, Xiaodan] Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu, Peoples R China.;[Wang, Cong] Cent China Normal Univ, Sch Urban & Environm Sci, Wuhan, Peoples R China.;[Xie, Qiaoyun] Univ Western Australia, Sch Engn, Perth, WA, Australia.
通讯机构：
[Yin, GF ] S;Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu, Peoples R China.
关键词：
microclimate;phenology;aspects;climate
摘要：
Vegetation growth is influenced by the microclimate driven by aspects, as evident in the asymmetric vegetation greenness on polar-facing slopes (PFS) and equatorial-facing slopes (EFS). However, it remains uncertain whether aspects influence vegetation phenology. To address this question, we defined the aspect-induced phenological differences between PFS and EFS from 2019 to 2022 within each 3 × 3 km2 grid, using average phenological metrics extracted from Sentinel-2 data. We found that the start of the growing season (SOS) occurs earlier on EFS in cold and humid regions, but in arid areas, PFS has an earlier SOS. The end of the growing season (EOS) consistently occurred later on EFS due to radiation limitations in autumn phenology. Employing the space-for-time approach, the observed distribution of phenological differences within the climate space could potentially indicate the phenological trends of different slope orientations in the future. Our study provides valuable insights into topographic regulation on vegetation phenology.
There are significant phenological differences between polar-facing slopes and equatorial-facing slopes
Phenological differences vary under different background climatic conditions
Using the space-for-time approach, the phenological differences in climate space suggest future phenological shifts
Equatorial-facing slopes (EFS) receive more solar radiation than polar-facing slopes (PFS), resulting in contrasting microclimate conditions. Specifically, EFS are warmer and drier, while PFS are colder and wetter. These microclimate differences contribute to variations in vegetation greenness between PFS and EFS. Based on this, we hypothesized that the phenology of grassland in the Three Rivers Source Region on the Tibetan Plateau is influenced by aspects. To test this hypothesis, we calculated the phenological differences between PFS and EFS within each 3 × 3 km2 grid using average phenological metrics derived from Sentinel-2. Our findings reveal that, for the start of the growing season (SOS), EFS exhibited an earlier onset in regions with low temperature and high precipitation, whereas for regions with high temperature, the growing season starts earlier on PFS. In contrast, over 70% of the grassland area on EFS experiences a later end of the growing season (EOS) due to radiation being a major limiting factor of autumn phenology. In addition, we utilized the space-for-time approach to project potential future phenological changes on PFS and EFS. Our study enhances comprehension of vegetation ecological management and carbon sequestration in mountainous areas.
期刊：
Journal of Cleaner Production,2024年434:139854 ISSN：0959-6526
通讯作者：
Gong, J
作者机构：
[Gao, Haoran; Ye, Teng; Gong, Jian] China Univ Geosci, Sch Publ Adm, Wuhan 430074, Peoples R China.;[Gao, Haoran; Ye, Teng; Gong, Jian] Minist Nat Resources, Key Lab Land & Resources Law Evaluat Project, Wuhan 430074, Peoples R China.;[Liu, Jiakang] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430074, Peoples R China.
通讯机构：
[Gong, J ] C;China Univ Geosci, Sch Publ Adm, Wuhan 430074, Peoples R China.;Minist Nat Resources, Key Lab Land & Resources Law Evaluat Project, Wuhan 430074, Peoples R China.
关键词：
Ecological functional areas;Comparative analysis;Quantitatively analyze the drivers;Changes of SOC stocks;Carbon sequestration potential
摘要：
Understanding the process of land use/cover changes (LUCC) can provide experience on the enhancement of soil organic carbon (SOC) stocks and carbon sequestration potential for different areas. This study is uniquely to divide different ecological functional areas, and originally combine the machine learning method and soil carbon pool dataset for regional comparative analysis, to compare and quantitatively analyze the drivers of LUCC and the changes in SOC stocks effected by LUCC over 30 years. The results show that topography and climate changes are the main drivers affecting LUCC in four natural areas, while soil factors and population changes do not cause significant effects. The total SOC stocks in Qinghai was increased by 71.18 Tg C and 107.19 Tg C in 0–30 cm and 0–300 cm layers, respectively, and the highest SOC stocks within 0–300 cm were in Pastoral area. Desert and Gobi area had the lowest SOC stocks in both 0–30 cm and 0–300 cm layers. SOC stocks increased in both 0–30 cm and 0–300 cm layers only in Sanjiangyuan Natural Reserve, while the Desert and Gobi area showed a decrease in both over 30 years. This study emphasizes the significant impact of grassland changes on SOC stocks, indicating the importance of considering these changes in land management and ecological protection policies. The initial and original SOC stocks of pre-LUCC may influence the SOC stocks in post-LUCC. The response of SOC stocks changes to LUCC was varies in different areas. The heterogeneity of different ecological functional areas is affected by multiple factors and SOC stocks will become more complex among these areas in the future. These findings contribute to the development of ecological protection policies and the enhancement of regional land management strategies.
作者机构：
[Yu, Lei; Xu, Yueling; Zhou, Xueyan; Lv, Tianqi; Wang, Caiyun; Huang, Fan] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.;[Yu, Lei; Xu, Yueling; Zhou, Xueyan; Lv, Tianqi; Wang, Caiyun; Huang, Fan] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
通讯机构：
[Yu, L ] C;Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.;Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
摘要：
This study evaluates the effects of a combined rice-crayfish farming model and compares this model with traditional paddy fields. The focus is on soil aggregate characteristics, organic matter content, and also the distribution of soil aggregates. This research was conducted in Qianjiang, Hubei Province. The surface soil samples were collected from two types of arable land: paddy fields (WR) and rice-crayfish fields (CR). We performed an analysis of soil aggregate distribution and organic matter content. Results reveal that the majority of soil aggregates exceed 2 mm in size (>= 74.94%). The integrated rice-crayfish farming model significantly enhances the presence of large soil aggregates. And these parameters such as the average weight diameter (MWD), average geometric diameter (GWD), and agglomerate stability (PAD) also increase. Moreover, it mitigates agglomerate fragmentation (WASR). However, the net increase in total soil organic matter due to the integrated farming model remains modest. Organic matter content within the agglomerates follows an initial increase followed by a decrease. The highest content occurs in the 0.25-0.5 mm grain size (D4). When examining the distribution of soil aggregates and organic matter, it becomes evident that organic matter primarily originates from grain sizes larger than 2 mm (>= 71.92%). Notably, the rice-crayfish paddy field (CR) exhibits a substantially higher contribution compared to the traditional rice paddy field (WR). This study demonstrates several positive outcomes of the integrated rice-crayfish farming model compared to traditional paddy farming. It promotes the development of larger soil aggregates, enhances the structural integrity of soil aggregates, and improves their mechanical and hydrological stability. Additionally, it marginally increases the organic matter content within each component of soil aggregates. Furthermore, integrated modelling increases the impact of larger soil aggregates on soil organic matter. This improves the quality of the soil and as a result, crop yields are increased. The health of the soil is also improved and this contributes positively to food security.
摘要：
Tropical deforestation frontiers continue to expand at alarming rates, but their fine-scale temporal patterns (e.g., start timing, patch forming speed, temporal clustering within a year) remain unresolved. Previous deforestation monitoring focus on the annual dynamics or the timely identification of deforestation activities; however, improved methods are needed for accurate mapping of deforestation patches at higher temporal resolution (i.e., sub-monthly) to better reveal their fine-scale temporal dynamics. We propose an optimization method inte-grating the spatial and temporal context information to improve the sub-monthly deforestation mapping from Sentinel-1 (S1) SAR data: (1) a deep learning-based spatial optimization to suppress speckle noises; (2) a Bayesian-based temporal optimization to meaningfully combine deforestations detected in the S1 data streams. The proposed method was comprehensively assessed in three deforestation hotspots in Brazil -Acre, Rondo<SIC>nia and Par ' a, for the whole year of 2019. Results showed: (1) the spatial optimization alone can improve the ac-curacies of deforestation mapping from single-date S1 images for up to 7.3%; (2) the Bayesian-based temporal optimization improved the deforestation mapping accuracies for about 5.9% after three post-deforestation S1 observations (about 18 +/- 3 days after deforestation); (3) combining the spatial and temporal optimizations achieved the highest classification accuracies (overall accuracy of 91.0%, IoU of 89.1%), surpassing the baseline monthly composite method (overall accuracy of 89.3%, IoU of 87.3%) within fewer observation days. Further frontier analysis based on these sub-monthly results showed varying distributions of patch size and forming speed in these three study sites during the wet and dry seasons. The temporal clustering of deforestation also differed among sites during 2019: deforestations in Rondo<SIC>nia were most concentrated during the dry season (CV = 1.1), followed by Par ' a (CV = 0.75), while Acre showed more even temporal distribution in deforestation year-round (CV = 0.57). The proposed method thus can be used for revealing unprecedented temporal details regarding tropical deforestation frontiers, which is critical for evaluating the ecological consequences and formulating scientific conservation strategies.
期刊：
Journal of Soils and Sediments,2023年23(2):880-890 ISSN：1439-0108
通讯作者：
Xiufu Shuai
作者机构：
[Shuai, Xiufu] Cent China Normal Univ, Sch Urban & Environm Sci, Hubei Prov Key Lab Geog Proc Anal & Simulat, 152 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Xiufu Shuai] H;Hubei Province Key Lab. for Geographical Process Analysis and Simulation, School of Urban and Environmental Science, Central China Normal Univ, Wuhan, China
摘要：
Purpose Triple-layer model (TLM) is distinct from other surface complexation models (SCMs) with the charged beta-layer between solid surface and diffuse layer. However, its structure of electrical double layer, i.e., three capacitors connected in series, produced an uncharged beta-layer according to the rule of capacitors in the electrical circuit theory. The objective of this study was to modify TLM with the development of a new structure of electrical double layer and mathematical models for the charge-potential relationships. Methods The rule of capacitors in the electrical circuit theory was used to modify the electrical double layer in TLM. Published acid-based titration experiments on goethite in KNO3 solution by Yates and Healy (J Colloid Interface Sci 52:222-228, 1975) was used to demonstrate the modified TLM. Simulation study of the modified TLM for goethite was carried out by changing pH from 4.0 to 10.0 and ionic strength of KNO3 solution from 0.001 to 0.100 mol.l(-1). Results The finite size of ions in aqueous solution determined the parallel connection of the two capacitors, which were described by the constant capacitance model (CCM) and the diffuse layer model (DLM). A new concept termed as ion size factor delta, which was governed by the radius r of hydrated ion, was proposed to quantify the percentages of surface area occupied by the CCM and DLM capacitors. A new characteristic relationship of the modified TLM was derived to be a linear relationship between net surface charge and square root of ionic strength when the surface potential was small. The experimental results verified the characteristic relationship, and the ion size factor was validated by the success in estimating the dielectric constant of the CCM capacitor and the radii of hydrated ions (K+ and NO3-). The CCM capacitor occupied 33.8% of the area of goethite surface. Simulation results showed that substantial amount of charge was at the compact layer, and it contributed 14.6% to 74.4% of the net surface charge. Conclusion New electrical double layer with structure of connection of the two capacitors in parallel eliminated the internal flaw of the classical TLM, modified the classical TLM into a general model which unified CCM and DLM, and supported the core of the classical TLM (i.e., the charged compact layer and the diffuse layer).
期刊：
International Journal of Environmental Research and Public Health,2023年20(1):363- ISSN：1661-7827
通讯作者：
Zhenwei Wang
作者机构：
[Li, Weisong] Collaborat Innovat Ctr Emiss Trading Syst Coconstr, Wuhan 430205, Peoples R China.;[Li, Weisong] Hubei Univ Econ, Wuhan 430205, Peoples R China.;[Wang, Zhenwei] Hubei Univ, Coll Publ Adm, Wuhan 430062, Peoples R China.;[Mao, Zhibin] Hubei Univ Econ, Expt Teaching Ctr, Wuhan 430205, Peoples R China.;[Cui, Jiaxing] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
通讯机构：
[Zhenwei Wang] C;College of Public Administration, Hubei University, Wuhan 430062, China<&wdkj&>Author to whom correspondence should be addressed.
摘要：
Within the context of the "30 center dot 60 dual carbon" goal, China's low-carbon sustainable development is affected by a series of environmental problems caused by rapid urbanization. Revealing the impacts of urbanization on carbon emissions (CEs) is conducive to low-carbon city construction and green transformation, attracting the attention of scholars worldwide. The research is rich concerning the impacts of urbanization on CEs but lacking in studies on their spatial dependence and heterogeneity at multiple different scales, especially in areas with important ecological statuses, such as the Han River Ecological Economic Belt (HREEB) in China. To address these gaps, this study first constructed an urbanization level (UL) measurement method. Then, using a bivariate spatial autocorrelation analysis and geographically weighted regression model, the spatial relationships between UL and CEs from 2000 to 2020 were investigated from a multiscale perspective. The results were shown as follows. The total CEs in the HREEB witnessed an upsurge in the past two decades, which was mainly dispersed in the central urban areas of the HREEB. The ULs in different regions of the HREEB varied evidently, with high levels in the east and low levels in the central and western regions, while the overall UL in 2020 was higher than that in 2000, regardless of the research scale. During the study period, there was a significant, positive spatial autocorrelation between UL and CEs, and similar spatial distribution characteristics of the bivariate spatial autocorrelation between CEs and UL at different times, and different scales were observed. UL impacted CEs positively, but the impacts varied at different grid scales during the study period. The regression coefficients in 2020 were higher than those in 2000, but the spatial distribution was more scattered, and more detailed information was provided at the 5 km grid scale than at the 10 km grid scale. The findings of this research can advance policy enlightenment for low-carbon city construction and green transformation in HREEB and provide a reference for CE reduction in other similar regions of the world.
