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Climatic Fluctuation of Marine Isotope Stage 9: A Case Study in the Southern Margin of the Chinese Loess Plateau

Journal of Earth Science 2023年第5期34卷 1556-1566页

作者： Tieniu Wu Antai Cheng Henry Lin Hailin Zhang Yi Jie Key Laboratory for Geographical Process Analysis&Simulation Hubei ProvinceCentral China Normal UniversityWuhan 430079China Department of Ecosystem Science and Management The Pennsylvania State UniversityUniversity ParkPA 16802U.S.A. College of Urban and Environmental Sciences Central China Normal UniversityWuhan 430079China

Marine Isotope Stages(MIS) 9 has been proposed as an analog for the present warm period. However, detailed studies of this geological time period are rare in loess-paleosol sequence. In the Chinese Loess Plateau(CLP), the corresponding stratum is the third paleosol layer(S3). Here, we report the terrestrial reconstruction of climatic fluctuations during MIS 9 by analyzing the paleo-climate indexes of S3 with high sampling density. Our results showed that:(1) During the period of MIS 9, the main climatic sub-cycle was 29 ka;(2) MIS 9 could be divided into five sections, MIS 9a, 9b, 9c, 9d, and 9e. Among them, MIS 9a, 9c, and 9e were warm stages, while MIS 9b and 9d were cool intervals;and 3) There were also three swift warm-wet events and one cool-dry event, which occurred around 332 –331, 324–323, 311–310, and 331–329 ka BP, respectively. The overall trend of paleo-climate fluctuation correlated approximately with SPECMAP, LR04 stack and Iberian margin deep-sea cores. This study suggested that the paleosol records in the southern margin of the CLP have global significance and contain more detailed climatic signals than marine deposits.

关键词： MIS 9 climatic fluctuation Paleosol S3 Chinese Loess Plateau environmental geology

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Neural Cellular Automata-based Land Use Changes simulation

Neural Cellular Automata-based Land Use Changes Simulation

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ISPRS Technical Commission I Midterm Symposium on Intelligent Sensing and Remote Sensing Application

作者： Zhang, Jinian Liu, Lanfa College of Urban and Environmental Sciences Central China Normal University Wuhan China Hubei Provincial Key Laboratory for Geographical Process Analysis and Simulation Central China Normal University Wuhan China

Simulating land use and land cover changes (LUCC) is important for urban planning and environmental studies. In this study, we introduce a neural cellular automata (NCA) model that integrates biological principles and convolutional neural networks (CNNs) for land use simulation. We conduct experiments in the city of Wuhan, China. The NCA model achieved the highest performance with an OA of 0.858, F1 score of 0.753, Kappa coefficient of 0.799, and FOM of 0.427. Comparisons of land use data of Wuhan city from 2000 and 2010 with the simulated optimal results indicate that forest areas closer to urban centers are more susceptible to modernization processes, showing the advantage of NCA in accurately simulating land use changes in the central urban area. © Author(s) 2024.

关键词： Land use

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Urban economic efficiency under the interactive effect of urban hierarchy and connection networks in China

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Journal of geographical Sciences 2024年第12期34卷 2315-2332页

作者： ZHOU Ying ZHENG Wensheng WANG Xiaofang DU Nanqiao College of Urban&Environment Science Key Laboratory for Geographical Process Analysis&Simulation of Hubei ProvinceCentral China Normal UniversityWuhan430079China Academy of Wuhan Metropolitan Area Hubei Development and Reform Commission&Central China Normal UniversityWuhan430079China Hubei Institute of Economic and Social Development Central China Normal UniversityWuhan430079China Wuhan Branch of China Tourism Academy Central China Normal UniversityWuhan430079China

The efficient development of the urban economy is a major concern of scholars in the fields of geography and urban *** the context of globalization,informatization,industrialization,and urbanization,the external relationships of China's cities are experiencing the joint action of urban scale hierarchies and connection networks(“hierarchy-network”).However,under the interactive effect of the two,the mechanism of urban economic efficiency(UEE)is ***,based on Baidu migration data,the regionalization with dynamically constrained agglomerative clustering and partitioning(REDCAP)method,and a spatial simultaneous equation model,this paper analyzes the UEE spatial pattern and mechanism in *** results indicate that:(1)the urban economy has a superlinear relationship with the population ***,the benefit of this superlinear growth is in marginal decline.(2)The UEE shows a pattern of differentiation between China's eastern,then central,and then western ***,local differences are found within the three major sub-regions.(3)The increase of urban network centrality can promote UEE,while the impact of urban scale is negative.(4)There is regional heterogeneity of the interactive effect of“hierarchy-network”on *** study reveals the influencing mechanism of UEE and also provides policy implications for the development of UEE.

关键词： urban economic efficiency urban scale hierarchies connection networks interactive effect China

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COMPARISON OF VEGETATION ANOMALIES TO EL NIÑO-SOUTHERN OSCILLATION IN CHINA AND AUSTRALIA 24

COMPARISON OF VEGETATION ANOMALIES TO EL NIÑO-SOUTHERN OSCI...

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2022 24th ISPRS Congress on Imaging Today, Foreseeing Tomorrow, Commission III

作者： Wang, C. Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province School of Urban and Environmental Sciences Central China Normal University Wuhan430079 China

The El Niño-Southern Oscillation (ENSO), as one of the main factors driving extreme climate events, exerts a major influence on interannual climate variability around the world. However, ENSO effects on vegetation, especially regarding the extent, intensity, direction, are not well understood. Here, we characterize and compare the variability in vegetation response to ENSO across China and Australia and explore their underlying mechanisms. Results show that the spatial extent of ENSO-sensitive vegetation differed between China and Australia and across land cover types. For both China and Australia, the intensity and direction of vegetation anomalies were closely related to the type of ENSO events. In particular, vegetation anomalies to the Central-Pacific (CP) type ENSO events were stronger than that to the Eastern-Pacific (EP) type events of the same intensity and generally responded in an opposite way, resulting from different controls of CP-type and EP-type ENSO on precipitation and temperature. Our findings highlight the diverse response of vegetation triggered by different types of ENSO in China and Australia, which can improve our understanding of ENSO impacts on ecosystems in the northern and southern hemispheres. © Authors 2022

关键词： Vegetation

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Slowing the expansion of impervious surfaces: the key to promoting high-quality and sustainable regional development

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Environmental Science and Pollution Research 2024年第25期31卷 37574-37593页

作者： Hu, Mengshan Ye, Changsheng Gu, Moli Xiao, Wei Hu, Haiping Dong, Qian Key Laboratory for Geographical Process Analysis & amp Simulation Hubei Province Central China Normal University Central China Normal University Wuhan430079 China College of Earth Sciences East China University of Technology Nanchang330013 China College of Urban and Environmental Sciences Central China Normal University Wuhan430079 China College of Geography Nanjing Normal University Nanjing210000 China

Sponge cities are disaster-resilient and sustainable infrastructure, and the emergence of impervious surfaces hinders the construction of sponge cities. In response to the United Nations’ 2030 Sustainable Development Goals, the study of the spatio-temporal evolution and influencing factors of impervious surfaces provides an effective basis for the construction of sponge cities. In this paper, multi-source remote sensing images (Landsat 4–5 TM was used in 2000 and 2010, Landsat 8 OLI/TIRS was used in 2020) were used as data sources to construct a multi-feature impervious surface estimation model. By combining and refining the advantages of MISI, NDBI, and BUAI feature indices, we obtained the impervious surface cover of Nanchang City in 2000, 2010, and 2020. And its spatio-temporal evolution characteristics were analyzed by using the ESDA. The main factors of the impervious surface were analyzed by using the ordinary panel data model and the spatial durbin model. Results: (1) From 2000 to 2020, the impervious surface area of Nanchang City increased from 516.13 to 1075.12 km2. The overall impervious surface distribution in Nanchang City expressed a significant neighborhood distribution;(2) socio-economic factors had a positive role in promoting the impervious surface of Nanchang City. Among them, the correlation coefficient of the economic development index (0.2332), real estate investment (0.1518), and gross industrial output value (0.0453) were the most significant in the local areas;(3) the economic development index (0.2307), real estate investment (0.0251), and passenger volume (0.1679) stimulated the growth of impervious surfaces in adjacent areas, and the total population (-0.8074) had a buffering effect on adjacent areas. In order to promote the sustainable development of the region, it is necessary to propose corresponding measures and suggestions based on the impervious surface of Nanchang City. © The Author(s), under exclusive licence to Springer-Verlag Gmb

关键词： Sustainable development

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Field experiments on quantifying the contributions of Coreopsis canopies and roots to controlling runoff and erosion on steep loess slopes

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Journal of Mountain Science 2023年第5期20卷 1402-1423页

作者： GONG Yu-wei YU Hai-jun TIAN Pei GUO Wen-zhao CHEN Lin SHEN Ding-tao Key Laboratory for Geographical Process Analysis&Simulation of Hubei Province Central China Normal UniversityWuhan 430079China China Institute of Water Resources and Hydropower Research Beijing 100038China State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau/Institute of Water and Soil Conservation Northwest A&F UniversityYangling 712100China Department of Environmental Sciences University of California RiversideRiversideCA 92521USA

Grass recovery is often implemented in the loess area of China to control ***,the effect mechanisms of grass cover on runoff erosion dynamics on steep loess hillslopes is still not *** the typical forage species(Coreopsis)in semiarid areas as subject,this study quantified the effects of canopies and roots on controlling slope runoff and erosion.A series of field experiments were conducted in a loess hilly region of *** plots(5 m length,2 m width,25°slope gradient)constructed with three ground covers(bare soil;Coreopsis with intact grass;only roots of Coreopsis),were applied with simultaneous simulated rainfall(60mm h^(-1))and upslope inflow(10,30,50,70,90L min^(-1)).The results showed that compared with bare soil,intact grass significantly reduced runoff and soil loss rates by 16.6% and 62.4% on average,and decreased soil erodibility parameter by 66.3%.As inflow rate increased,the reductions in runoff and soil loss rates increased from 2.93 to 14.00 L min^(-1)and 35.11 to 121.96 g m^(-2)min^(-1),*** relatively contributed 66.7% to lowering flow velocity,turbulence,weakening erosive force and increasing hydraulic *** played a predominant role in reducing soil loss and enhancing soil antierodibility,with relative contributions of 78.8% and 73.8%.Furthermore,the maximum erosion depth reduced by Coreopsis was at the upper slope section which was previously eroded the *** results demonstrated the efficiency of Coreopsis cover in controlling runoff and erosion on steep loess slopes,especially under large inflow rates and at upper slope *** suggest protecting Coreopsis with intact grass at upper slope sections,while the aboveground grass biomass can be used for grazing or harvesting at middle and lower slope sections,with roots reserved.

关键词： Steep loess hillslopes Soil erosion Rill development Runoff hydraulics Spatial variations Coreopsis

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ISWSST: Index-space-wave State Superposition Transformers for Multispectral Remotely Sensed Imagery Semantic Segmentation

arXiv

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arXiv 2024年

作者： Li, Chang Zhang, Pengfei Wang, Yu Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province College of Urban and Environmental Science Central China Normal University Wuhan China

Currently the semantic segmentation task of multispectral remotely sensed imagery (MSRSI) faces the following problems: 1) Usually, only single domain feature (i.e., space domain or frequency domain) is considered;2) downsampling operation in encoder generally leads to the accuracy loss of edge extraction;3) multichannel features of MSRSI are not fully considered;and 4) prior knowledge of remote sensing is not fully utilized. To solve the aforementioned issues, an index-space-wave state superposition Transformer (ISWSST) is the first to be proposed for MSRSI semantic segmentation by the inspiration from quantum mechanics, whose superiority is as follows: 1) index, space and wave states are superposed or fused to simulate quantum superposition by adaptively voting decision (i.e., ensemble learning idea) for being a stronger classifier and improving the segmentation accuracy;2) a lossless wavelet pyramid encoder-decoder module is designed to losslessly reconstruct image and simulate quantum entanglement based on wavelet transform and inverse wavelet transform for avoiding the edge extraction loss;3) combining multispectral features (i.e. remote sensing index and channel attention mechanism) is proposed to accurately extract ground objects from original resolution images;and 4) quantum mechanics are introduced to interpret the underlying superiority of ISWSST. Experiments show that ISWSST is validated and superior to the state-of-the-art architectures for the MSRSI segmentation task, which improves the segmentation and edge extraction accuracy effectively. Codes will be available publicly after our paper is accepted. Copyright © 2024, The Authors. All rights reserved.

关键词： Semantics

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Effects of Water Temperature on Soil Aggregate Stability between Soils Developed from Different Parent Materials in the Subtropical Hilly Area of China

SSRN

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SSRN 2024年

作者： Zhang, Yutong Wu, Tieniu Key Laboratory for Geographical Process Analysis and Simulation Hubei Province/ College of Urban and Environmental Sciences Central China Normal University Wuhan430079 China

Water temperature has an important effect on soil aggregate stability. In this study, six soils derived from different parent materials in the hilly region of southern China were selected, and the mean weight diameter (MWD), geometric mean diameter (GMD), and soil erodibility (K value) were measured under different water temperature conditions. The aim of this study was to investigate the influence of water temperature on soil aggregate stability and erodibility. As the water temperature increased from 5°C to 45°C, the average content of >5 mm water-stable aggregates decreased by 64.5%, while the average content of © 2024, The Authors. All rights reserved.

关键词： Water temperature

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Trade-offs/Synergies in Land-use Function Changes in Central China from 2000 to 2015

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Chinese geographical Science 2021年第4期31卷 711-726页

作者： LI Qing ZHOU Yong XU Tao WANG Li ZUO Qian LIU Jingyi SU Xueping HE Nan WU Zhengxiang The College of Urban&Environmental Sciences Central China Normal UniversityWuhan 430079China Key Laboratory for Geographical Process Analysis&Simulation of Hubei Province Central China Normal UniversityWuhan 430079China

To solve the problems caused by irrational land-use, studying the functions of land-use, its changing characteristics, and the relationship between each land-use function will be beneficial for achieving sustainable land development. In this research, we constructed an evaluation framework of multiple land-use functions(LUFs) based on sustainable land-use theory. Specifically,, we classified the multiple LUFs into three types: agricultural production function(APF), living function(LVF), and ecological service function(ESF).We then spatialized the economic and social data, and implemented the InVEST(Integrated Valuation of Ecosystem Services and Tradeoffs) model and RUSLE(Revised Universal Soil Loss Equation) model to evaluate each sub-LUF(crop production, aquatic production, woodlands production, livestock production, living space, life quality, water supply, soil conservation, climate regulation, biological conservation) in central China in 2000 and again in 2015. Moreover, by analyzing the changes to LUFs and the relationships between each LUF change, we were able to discern patterns of LUF change in central China. The results show that: (1)42.12% of total territory in the study area increased their APF from 2000 to 2015, while 43.41% of the lands increased their ESF yet only 8.98% of the lands increased their LVF;(2) in hubei and Hunan, there was more land with an increase of APF than in Anhui or Jiangxi. The APF in Jiangxi exhibited the greatest decline over time period, the LVF increased more in the provincial capital cities than in other regions, and the ESF expanded more in Jiangxi than in the other provinces;and (3) the changes in APF were significantly and positively correlated with changes in LVF. Additionally, changes in ESF were negatively but non-significantly correlated with changes in APF and LVF.

关键词： land planning land-use function(LUF) trade-offs synergies central China

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中国植物性饮食结构调整具有显著的耕地资源效应

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Science Bulletin 2024年第6期69卷 737-740页

作者：朱晓华张燕朱媛媛李裕瑞 Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China Key Laboratory of Geographic Process Analysis&Simulation Hubei Province Central China Normal UniversityWuhan 430079China

Food systems are already a major contributor to land degradation,and changes in global diets will exacerbate this situation[1].Population growth and affluent dietary patterns result in changes in land demand and land-use patterns,and up to 40% of global arable land and more than 30% of global food-crop production are used for animal feed[2].Furthermore,food-feed competition can result in an inadequate food supply[3].

关键词：耕地资源 arable food

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