检索结果-内蒙古大学图书馆

SSRN 2022年

作者： Qiu, Tianyi Yu, Jialuo He, Liyuan Liu, Ji Cui, Qingliang Cui, Yongxing Duan, Chengjiao Zhao, Shuling Wang, Yunqiang Fang, Linchuan College of Natural Resources and Environment Northwest A&F University Shaanxi Yangling712100 China Key Laboratory of Ecosystem Network Observation and Modelling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China Biology Department San Diego State University San DiegoCA United States Hubei Province Key Laboratory for Geographical Process Analysis and Simulation Central China Normal University Wuhan430079 China State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau Institute of Soil and Water Conservation CAS and MWR Yangling712100 China Sino-French Institute for Earth System Science College of Urban and Environmental Sciences Peking University Beijing100871 China State Key Laboratory of Loess and Quaternary Geology Institute of Earth Environment Chinese Academy of Sciences Xi’an710061 China CAS Center for Excellence in Quaternary Science and Global Change Chinese Academy of Sciences Xi’an710061 China

Phosphorus (P) limitation hinders ecological restoration in vulnerable ecosystems, particularly in severely eroded forests. Slope position and rhizosphere effect (RE) are two critical drivers of biological P utilization, but their unknown potential interaction limits the improvement of ecological restoration under P limitation. To bridge this gap, we investigated the interaction on plant–microbe P utilization by quantifying the REs at different slope positions (top, middle, and bottom) in a typical artificial forest ( Robinia pseudoacacia ) of the Loess Plateau, China. The results showed that: (1) most of the positive REs increased by 1.5 to 5.6 times with decreasing slope position, which reversed the resource distribution trend along the slope. (2) Plant and microbial P limitation exhibited contrasting patterns due to nutrient competition (standardized slope = –0.746, P © 2022, The Authors. All rights reserved.

关键词： Phosphorus

来源：评论

学校读者我要写书评

暂无评论

Adaptablity of Six Global Drought Indices Over China

Adaptablity of Six Global Drought Indices Over China

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Jing Lu Li Jia Jie Zhou Chaolei Zheng Guangcheng Hu State Key Laboratory of Remote Sensing Science Chinese Academy of Sciences Beijing China Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province Central China Normal University Wuhan China

This study quantitatively evaluated the performance of six global drought indices (the self-calibrating Palmer Drought Severity Index -scPDSI, the Standardized Precipitation-Evapotranspiration Index - SPEI, the Global Precipitation Climatology Centre Drought Index - GPCC_DI, the Multivariate Standardized Drought Index - MSDI, the Standardized Soil Moisture Index - SSI, and the Standardized Precipitation Index - SPI) over China using the drought records from the Emergency Events Database (EM-DAT) by developing two indicators of the monitored drought area percentage (MDAP) and the monitored drought period percentage (MDPP). The results showed that scPDSI, SPEI, GPCC_DI, and MSDI can capture drought events in China from 1980 to 2015 better than SPI and SSI, with MDAP of ~80% and MDPP of ~70% at optimal timescales, among which SPEI and MSDI is slightly better than scPDSI and GPCC_DI.

关键词： Indexes Monitoring Meteorology Spatial resolution Remote sensing Earth

来源：评论

学校读者我要写书评

暂无评论

A NEW METHOD FOR NOISE REMOVAL IN NPP-VIIRS MONTHLY NIGHTTIME LIGHT IMAGERY OVER THE SAHEL REGION

A NEW METHOD FOR NOISE REMOVAL IN NPP-VIIRS MONTHLY NIGHTTIM...

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： Xiaotian Yuan Li Jia Jie Zhou Massimo Menenti Qiting Chen Institute of Remote Sensing and Digital Earth Chinese Academy of Science Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province Central China Normal University Wuhan China

The monthly nighttime light data observed by the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor onboard the National Polar-orbiting Partnership (NPP) satellite are useful to assess human activities. However, noise in the VIIRS data and unstable power supply in many areas often limit its application in detecting anthropic activities. This study aims to develop a new method (i.e., Patches De-noising Method, PDM) to remove noise in the VIIRS monthly nighttime light data towards better information on anthropic activities. The new synthesized data were examined in the Sahel region where the intensity of nighttime light is often affected by unstable power supply. The results showed that the new data could capture more settlements correctly compared with the annual data released by the National Centers for Environmental Information (NCEI) of the National Oceanic and Atmospheric Administration (NOAA). This suggests that the Patches De-noising Method is a useful way to remove noise in the NPP-VIIRS monthly nighttime light data.

关键词： Biomass Noise measurement Earth Noise reduction Power supplies Spatial resolution Google

来源：评论

学校读者我要写书评

暂无评论

A differentiability-based processes and parameters learning hydrologic model for advancing runoff prediction and process understanding

引用

Journal of Hydrology 2025年 661卷

作者： Chunxiao Zhang Heng Li Yuqian Hu Dingtao Shen Bingli Xu Min Chen Wenhao Chu Rongrong Li School of Information Engineering China University of Geosciences Beijing Beijing China Hebei Key Laboratory of Geospatial Digital Twin and Collaborative Optimization China University of Geosciences Beijing Beijing China Chinese Academy of Surveying and Mapping Beijing China Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province Central China Normal University Wuhan China College of Urban and Environmental Sciences Central China Normal University Wuhan China Department of Information and Communication Academy of Army Armored Forces Beijing China Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC) Nanjing Normal University Nanjing Jiangsu China International Research Center of Big Data for Sustainable Development Goals Beijing China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing Jiangsu China Institute of Space and Earth Information Science The Chinese University of Hong Kong Shatin New Territories Hong Kong China

Differentiable parameterized learning (dPL) represents a cutting-edge advancement in synergizing process-based models (PBMs) and machine learning to improve both the model prediction and interpretability. However, dPL mainly focuses on refining parameters within a predefined process-based structure, which limits its performance and process understanding to the constraints of existing PBM frameworks. To address this limitation, we propose an extended framework: Differentiable process and Parameter Learnings (dP2Ls). dP2Ls incorporate regionalized neural networks (NNs) to simultaneously improve both the modeling of process variables and parameter learnings. Within dP2Ls, the EXP-HYDRO model serves as a differentiable physical backbone, where the potential evapotranspiration (PET) process is modeled using a regionalized long short-term memory (LSTM), while the dPL strategy is independently applied to learning hydrological parameters. Experiments with runoff prediction in ungauged catchments across the contiguous United States revealed that: (1) The median Nash-Sutcliffe efficiency (NSE) of regionalized dP2Ls in ungauged catchments surpassed that of all models using NNs for either process learning or parameter learning and approached the LSTM model (the median NSE differs by only 0.021); (2) Regionalized dP2Ls enhanced the interpretability of some intermediate variables by jointly learning the process variables and parameters, resulting in the correlation coefficients of snowpack and ET fitting the estimation products increased by 0.022 and 0.026, respectively; (3) The embedded regionalized LSTM outputs more interpretable PET than EXP-HYDRO, demonstrating the capability of NNs to improve traditional process understanding. In summary, this study demonstrates the advantages of dP2Ls in regionalized modeling, overcoming the limitations of traditional process-based structures through flexible NN configurations, and providing a reliable pathway for the future in-depth diagno

关键词：

来源：评论

学校读者我要写书评

暂无评论

The inflection point about COVID-19 may have passed

引用

Science Bulletin 2020年第11期65卷 865-867,M0003页

作者： Chaolin Gu Jie Zhu Yifei Sun Kai Zhou Jiang Gu School of Architecture Tsinghua UniversityBeijing 100085China Jiangsu Branch of China Academy of Urban Planning and Design Nanjing 210000China Department of Geography and Environmental Studies California State University NorthridgeInternational Institute for Innovation and Development(I3D)NorthridgeCA 91326USA School of Architecture Hunan UniversityChangsha 4W082China Hubei Provincial Key Laboratory for Geographical Process Analysis and Simulation Academy of Wuhan Metropolitan AreaCollege of Urban and Environmental ScienceCentral China Normal UniversityWuhan 430079China

In an era of globalization and informatisation,a Public Health Emergency of International Concern(PHEIC)imposes a huge impact on everyone’s life[1],as what the COVID-19 has demonstrated at the *** China’s nationwide quarantine and extremely strict epidemic prevention measures,it becomes increasingly critical for China and the world to know the evolving trend,though unclear yet,for the sake of the global *** is mainly due to the following two important reasons[2].First of all,because of the quarantine,a sudden shutdown of manufacturing in China(now the second largest economy of the world)would break the global supply chain,with the potential to eliminate China’s current advantageous ***,many small enterprises in the service industry are facing death or life situation with the spreading disease,and many will bankrupt[3].When the inflection point of the COVID-19 epidemic appears suddenly becomes a critical issue for China and the world.

关键词： nationwide everyone suddenly

来源：评论

学校读者我要写书评

暂无评论

Globally increased cropland soil exposure to climate extremes in recent decades

引用

Nature Communications 2025年第1期16卷 1-10页

作者： Feng, Luwei Wang, Yumiao Fensholt, Rasmus Tong, Xiaoye Tagesson, Torbern Zhang, Xiaoxin Ardö, Jonas Zhou, Jie Shao, Wenxuan Dou, Yujie Sang, Yirong Tian, Feng Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere School of Remote Sensing and Information Engineering Wuhan University Wuhan China Perception and Effectiveness Assessment for Carbon-neutrality Efforts Engineering Research Center of Ministry of Education Institute for Carbon Neutrality Wuhan University Wuhan China Hubei Luojia Laboratory Wuhan University Wuhan China State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan China Department of Geography and Spatial Information Techniques Ningbo University Ningbo China Department of Geosciences and Natural Resource Management University of Copenhagen Copenhagen Denmark Department of Physical Geography and Ecosystem Science Lund University Lund Sweden Future Urbanity & Sustainable Environment (FUSE) Lab Division of Landscape Architecture Faculty of Architecture The University of Hong Kong Hong Kong Special Administrative Region Hong Kong Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province College of Urban and Environmental Sciences Central China Normal University Wuhan China

Soil quality is fundamental to nutrient-rich food production and the sustainability of terrestrial ecosystems. However, inappropriate agricultural practices often lead to persistent soil exposure to air and sunlight, which increases soil organic matter losses and erosion risks, particularly under climate extremes. Here, we provide a satellite-based mapping of daily soil exposure occurrence across global croplands from 2001 to 2022 and evaluate the associated degradation risks caused by extreme climate events. We find that while 57% of global croplands experienced a reduction in soil exposure duration in the past two decades, 86% are increasingly subjected to climate extremes. The areas exposed to increasing climate extremes tend to have higher soil organic carbon levels, indicating an intensified degradation risk of global nutrient-rich cropland soils. Our study offers spatio-temporally explicit insights into global cropland soil exposure and its vulnerability to climate extremes, providing evidence to support improvements in sustainable agriculture practices. © The Author(s) 2025.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Coexistence under hierarchical resource exploitation: The role of R*-preemption tradeoff

arXiv

引用

arXiv 2019年

作者： Qi, Man DeMalach, Niv Zhang, Hailin Sun, Tao Key Laboratory of Geographical Process Analysis & Simulation of Hubei Province College of Urban and Environmental Sciences Central China Normal University Wuhan430079 China State Key Laboratory of Water Environment Simulation School of Environment Beijing Normal University Beijing100875 China Institute of Plant Sciences and Genetics in Agriculture Faculty of Agriculture Food and Environment The Hebrew University of Jerusalem Rehovot Israel

Resource competition theory predicts coexistence and exclusion patterns based on species' R*s, the minimum resource values required for a species to persist. A central assumption of the theory is that all species have equal access to resources. However, many systems are characterized by preemption exploitation, where some species deplete resources before their competitors can access them (e.g., asymmetric light competition, contest competition among animals). We hypothesize that coexistence under preemption requires an R*-preemption tradeoff, i.e., the species with the priority access should have a higher R* (lower 'efficiency'). Thus, we developed an extension of resource competition theory to investigate partial and total preemption (in the latter, the preemptor is unaffected by species with lower preemption rank). We found that an R*-preemption tradeoff is a necessary condition for coexistence in all models. Moreover, under total preemption, the tradeoff alone is sufficient for coexistence. In contrast, under partial preemption, more conditions are needed, which restricts the parameter space of coexistence. Finally, we discussed the implications of our finding for seemingly distinct tradeoffs, which we view as special cases of R*-preemption tradeoff. These tradeoffs include the digger-grazer, the competition-colonization, and tradeoffs related to light competition between trees and understories. Copyright © 2019, The Authors. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Mapping winter wheat using phenological feature of peak before winter on the North China Plain based on time-series MODIS data

引用

Journal of Integrative Agriculture 2017年第2期16卷 348-359页

作者： TAO Jian-bin WU Wen-bin ZHOU Yong WANG Yu JIANG Yan Key Laboratory of Agri-informatics Ministry of Agriculture/Institute of Agricultural Resources and Regional PlanningChinese Academy of Agricultural Sciences Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province/School of Urban and Environmental Sciences Central China Normal University

By employing the unique phenological feature of winter wheat extracted from peak before winter （PBW） and the advantages of moderate resolution imaging spectroradiometer （MODIS） data with high temporal resolution and intermediate spatial resolution, a remote sensing-based model for mapping winter wheat on the North China Plain was built through integration with Landsat images and land-use data. First, a phenological window, PBW was drawn from time-series MODIS data. Next, feature extraction was performed for the PBW to reduce feature dimension and enhance its information. Finally, a regression model was built to model the relationship of the phenological feature and the sample data. The amount of information of the PBW was evaluated and compared with that of the main peak （MP）. The relative precision of the mapping reached up to 92% in comparison to the Landsat sample data, and ranged between 87 and 96% in comparison to the statistical data. These results were sufficient to satisfy the accuracy requirements for winter wheat mapping at a large scale. Moreover, the proposed method has the ability to obtain the distribution information for winter wheat in an earlier period than previous studies. This study could throw light on the monitoring of winter wheat in China by using unique phenological feature of winter wheat.

关键词： time-series MODIS data phenological feature peak before wintering winter wheat mapping

来源：评论

学校读者我要写书评

暂无评论

Modeling the spatio-temporal changes in land uses and its impacts on ecosystem services in Northeast China over 2000–2050

引用

Journal of geographical Sciences 2018年第11期28卷 1611-1625页

作者：夏天吴文斌周清波谭文霞 Peter H.VERBURG 杨鹏叶利明 Key Laboratory of Agri-informatics Ministry of Agriculture/Institute of Agricultural Resources and Regional PlanningChinese Academy of Agricultural Sciences Key Laboratory for Geographical Process Analysis & Simulation Hubei Province/College of Urban & Environmental ScienceCentral China Normal University Institute for Environmental Studies VU University Amsterdam CAAS-UGent Joint Laboratory of Global Change and Food Security/Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences Department of Geology(WE13) Ghent University

Land use and its dynamics have attracted considerable scientific attention for their significant ecological and socioeconomic *** studies have investigated the past changes in land use,but efforts exploring the potential changes in land use and implications under future scenarios are still *** we simulate the future land use changes and their impacts on ecosystem services in Northeast China(NEC) over the period of 2000–2050 using the CLUE–S(Conversion of Land Use and its Effects at Small regional extent) model under the scenarios of ecological security(ESS),food security(FSS) and comprehensive development(CDS).The model was validated against remote sensing data in ***,the accuracy of the CLUE–S model was evaluated at 82.5%.Obtained results show that future cropland changes mainly occur in the Songnen Plain and the Liaohe Plain,forest and grassland changes are concentrated in the southern Lesser Khingan Mountains and the western Changbai Mountains,while the Sanjiang Plain will witness major changes of the *** results also show that even though CDS is defined based on the goals of the regional development plan,the ecological service value(ESV) under CDS is RMB 2656.18 billion in *** ESV of CDS is lower compared with the other ***,CDS is not an optimum scenario for eco-environmental protection,especially for the wetlands,which should be given higher priority for future *** issue of coordination is also critical in future *** results can help to assist structural adjustments for agriculture and to guide policy interventions in NEC.

关键词： Northeast China land use spatio-temporal change scenario ecosystem service

来源：评论

学校读者我要写书评

暂无评论

Research on knowledge-based optimization method of indoor location based on low energy bluetooth

Research on knowledge-based optimization method of indoor lo...

引用

ISPRS Geospatial Week 2017

作者： Li, Chang Li, Guie Deng, Yong Wang, Tianli Kang, Zhizhong Key Laboratory for Geographical Process Analysis and Simulation Hubei Province Central China Normal University Wuhan China College of Urban and Environmental Science Central China Normal University Wuhan China School of Land Science and Technology China University of Geosciences Xueyuan Road 29 Haidian District Beijing100083 China

With the rapid development of LBS (Location-based Service), the demand for commercialization of indoor location has been increasing, but its technology is not perfect. Currently, the accuracy of indoor location, the complexity of the algorithm, and the cost of positioning are hard to be simultaneously considered and it is still restricting the determination and application of mainstream positioning technology. Therefore, this paper proposes a method of knowledge-based optimization of indoor location based on low energy Bluetooth. The main steps include: 1) The establishment and application of a priori and posterior knowledge base. 2) Primary selection of signal source. 3) Elimination of positioning gross error. 4) Accumulation of positioning knowledge. The experimental results show that the proposed algorithm can eliminate the signal source of outliers and improve the accuracy of single point positioning in the simulation data. The proposed scheme is a dynamic knowledge accumulation rather than a single positioning process. The scheme adopts cheap equipment and provides a new idea for the theory and method of indoor positioning. Moreover, the performance of the high accuracy positioning results in the simulation data shows that the scheme has a certain application value in the commercial promotion.

关键词： Bluetooth

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：