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Activity Pattern and Habitat Use of Shorebirds in an Artificial Wetland Complex:A Case Study of Breeding Pied Avocet in the Yellow River Delta,China

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Chinese geographical science 2024年第4期34卷 618-630页

作者： LI Dong LI Bin XU He FAN Chao WU Yang ZHANG Yuxin HOU Xiyong Yantai Institute of Coastal Zone Research Chinese Academy of SciencesYantai 264003China Beijing VMinFull Limited Beijing 100086China CAS key Laboratory of Coastal Environmental Processes and Ecological Remediation Yantai Institute of Coastal Zone ResearchChinese Academy of SciencesYantai 264003China University of Chinese Academy of sciences Beijing 100049China School of information Engineering Zhejiang Ocean UniversityZhoushan 316022China key Laboratory for Biodiversity science and Ecological Engineering College of Life SciencesBeijing Normal UniversityBeijing 100875China

With the loss of substantial natural wetlands in coastal zones,artificial wetlands provide alternative habitats for many shorebirds.Scientific management of artificial wetlands used by shorebirds plays an important role in maintaining the stability of shorebird population.Satellite tracking technique can obtain high-precision location information of individuals day and night,providing a good technical support for the study of quantitative relationship between waterfowls and their habitats.In this study,satellite tracking method,Remote Sensing(RS)and geographic information System(GIS)technology were used to analyze the activity pattern and habitat utilization characteristics of Pied Avocet during breeding period in an artificial wetland complex in the Yellow River Delta(YRD),China.The results showed that the breeding Pied Avocets had a small range of activity,with a total core and main home range of 33.10 km^(2) and 216.30 km^(2),respectively.This species tended to forage in the pond and salt pan during the day and night,respectively,with an unfixed staying time in the breeding ground.The distance between breeding ground and feeding ground was less than 6 km.It is emphasized that in addition to improving the conditions of the remaining natural habitats,effective managing artificial habitats is a priority for shorebird conservation.This research could provide reference for the management of artificial wetlands in coastal zones and supply technique support for the protection of shorebirds and their habitats,and alleviate human-bird conflicts and sustainable development of coastal zones.

关键词： satellite tracking home range habitat use artificial wetland coastal zone Pied Avocet Yellow River Delta China

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Improvement of ecological geographic regionalization based on remote sensing and canonical correspondence analysis： A case study in China

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science China Earth sciences 2016年第9期59卷 1745-1753页

作者： JIN JiaXin WANG Ying JIANG Hong KONG Yan LU XueHe ZHANG XiuYing jiangsu provincial key Laboratory of geographic information science and technology Nanjing University Nanjing 210023 China International Institute for Earth System science Nanjing University Nanjing 210023 China information Center of Urban Planning Wuxi 214072 China

Ecological geographic regions, also called eco-regions, can be used to divide a remotely sensed image, which is helpful for reducing the complexity of land cover types within eco-regions and for improving the classification accuracy of land cover. In this case study in China, we improved a method of ecological geographic regionalization that is more suitable for remote sensing mapping of regional land cover, and we obtained new eco-regions. The canonical correspondence analysis(CCA) and k-means clustering were adopted in the ecological geographic regionalization using both seasonal remotely-sensed vegetation information and environmental data including climate, elevation and soil features. Our results show that the combination of seasonal vegetation information and the CCA performed well in the selection of the dominant environmental factor of the biogeographic pattern, and it can be used as regionalization indicators of eco-regions. We found that thermal factors are the most important driving forces of the biogeographic pattern in China, which followed by moisture factors. Two global land cover products(MODIS MCD12C1 and Glob Cover) were used to assess our eco-regions. The results show that our eco-regions performed better than that of a previous study regarding the complexity of land cover types, such as in the number of types and the proportional area of the major/secondary type. These results indicate that the method of ecological geographic regionalization, which is based on environmental factors associated with seasonal vegetation features, is effective for reducing the regional complexity of land cover.

关键词：生态地理区划典范对应分析遥感图像中国案例土地覆盖类型生态区域生态地理区域

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Monitoring multi-temporal changes of lakes on the Tibetan Plateau using multi-source remote sensing data from 1992 to 2019: A case study of Lake Zhari Namco

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Journal of Earth science 2022年

作者： Juan Wu Chang-Qing Ke Yu Cai Zheng Duan jiangsu provincial key Laboratory of geographic information science and technology， key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources， School of Geography and Ocean science， Nanjing University Collaborative Innovation Center of Novel Software technology and Industrialization Collaborative Innovation Center of South China Sea Studies Department of Physical Geography and Ecosystem science， Lund University

Lake level， area and volume are sensitive indicators of climate change. At present， many studies have focused on the interannual water balance of lakes， but lake level and area can change remarkably with seasons， especially for lakes with seasonal ice cover. Zhari Namco， a seasonal frozen lake， was selected as an example to investigate its seasonal water balance. Multi-source altimetry and Landsat data were used to obtain the seasonal lake level and area from 1992 to 2019， and seasonal lake volume variations were also estimated. The results indicated the average lake level， area and volume in autumn were the largest. The lake level， area， and volume experienced three turning points approximately in 2000， 2010， and 2016， and showed an overall increasing trend from 1992 to 2019， with slopes of 0.15 m/year， 2.17 km;/year， and 0.14 km;/year， respectively. The lake area expanded significantly in autumn， which was related to the abundant precipitation. Delay time of land surface runoff， increased temperature， and evaporation may be the reason for the low lake level and volume in summer. The precipitation was the dominant factor of water balance， which explained 62.09%， 62.43%， and 62.10% of the variations in lake level， area， and volume， respectively.

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Drought Change Trend Using MODIS TVDI and Its Relationship with Climate Factors in China from 2001 to 2010

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Journal of Integrative Agriculture 2014年第7期13卷 1501-1508页

作者： LIANG Liang ZHAO Shu-he QIN Zhi-hao HE Ke-xun CHEN Chong LUO Yun-xiao ZHOU Xing-dong School of geographic and Oceanographic sciences Nanjing University School of Geodesy and Geomatics Jiangsu Normal University jiangsu provincial key Laboratory of geographic information science and technology Nanjing University Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences

Changes in drought trends and its relationship with climate change in China were examined in this study. The temperature vegetation drought index （TVDI） datasets recorded during 2001 to 2010 in China were constructed by using the moderate-resolution imaging spectroradiometer （MODIS） data, and the temporal and spatial variations in drought were analyzed. In addition, the mean temperature, mean precipitation, mean relative humidity, and mean sunshine duration data collected from 557 local weather stations in China were analyzed. The relationships between drought and these climate factors were also analyzed by using correlation analysis and partial correlation analysis. Changes in drought tendency were shown to differ among four regions throughout the country. The lfuctuations in climate in the regions of northeastern China, Qinling-Huaihe, and central Qinghai were caused by the increase in soil moisture, and that in southern Tibet was caused by the intensiifcation of drought. Meteorological factors exhibited varied effects on drought among the regions. In southern China, the main inlfuential factor was temperature;other factors only showed minimal effects. That in the northern and northwestern regions was sunshine duration, and those in the Qinghai-Tibet Plateau were relative humidity and temperature.

关键词： drought climate factors TVDI MODIS China

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Using big data to track marine oil transportation along the 21st-century Maritime Silk Road

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science China(Technological sciences) 2019年第4期62卷 677-686页

作者： CHENG Liang YAN ZhaoJin XIAO YiJia CHEN YanMing ZHANG FangLi LI ManChun jiangsu provincial key Laboratory of geographic information science and technology Nanjing University Collaborative Innovation Center for the South Sea Studies Nanjing University Collaborative Innovation Center of Novel Software technology and Industrialization Nanjing University School of Geography and Ocean science Nanjing University jiangsu Center for Collaborative Innovation in geographical information Resource Development and Application

China's designation of the "21 st-century Maritime Silk Road"(MSR) region is of extraordinary significance to its maritime rights, transportation security, and socio-economic development. We developed a technical framework allowing the use of "big data" derived from the Automatic Identification System(AIS, an automatic ship-tracking network) for two purposes: the accurate mapping of oil tanker trajectories and the creation of heat maps showing the relative use of oil tanker routes and marine shipping chokepoints. We then applied these methods to 1.5 billion AIS records collected within the MSR in 2014 to statistically identify and analyze busy routes, areas, and chokepoints in this strategic region. Our results demonstrate that the proposed framework can provide an effective analysis of oil movements based on large-scale AIS datasets, helping researchers and policy makers better understand the footprint and strategic implications of maritime oil transportation in the MSR region.

关键词： 21st-century Maritime Silk Road(MSR) maritime oil transportation transportation chokepoints heat map automatic identification system(AIS)

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Aerial observations of sea ice and melt ponds near the North Pole during CHINARE2010

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Acta Oceanologica Sinica 2017年第1期36卷 64-72页

作者： LI Lanyu KE Changqing XIE Hongjie LEI Ruibo TAO Anqi jiangsu provincial key Laboratory of geographic information science and technology Nanjing University Department of Geological sciences University of Texas at San Antonio Polar Research Institute of China State Oceanic Administration

An aerial photography has been used to provide validation data on sea ice near the North Pole where most polar orbiting satellites cannot cover. This kind of data can also be used as a supplement for missing data and for reducing the uncertainty of data interpolation. The aerial photos are analyzed near the North Pole collected during the Chinese national arctic research expedition in the summer of 2010（CHINARE2010）. The result shows that the average fraction of open water increases from the ice camp at approximately 87°N to the North Pole, resulting in the decrease in the sea ice. The average sea ice concentration is only 62.0% for the two flights（16 and 19 August 2010）. The average albedo（0.42） estimated from the area ratios among snow-covered ice,melt pond and water is slightly lower than the 0.49 of HOTRAX 2005. The data on 19 August 2010 shows that the albedo decreases from the ice camp at approximately 87°N to the North Pole, primarily due to the decrease in the fraction of snow-covered ice and the increase in fractions of melt-pond and open-water. The ice concentration from the aerial photos and AMSR-E（The Advanced Microwave Scanning Radiometer-Earth Observing System） images at 87.0°–87.5°N exhibits similar spatial patterns, although the AMSR-E concentration is approximately 18.0%（on average） higher than aerial photos. This can be attributed to the 6.25 km resolution of AMSR-E, which cannot separate melt ponds/submerged ice from ice and cannot detect the small leads between floes. Thus, the aerial photos would play an important role in providing high-resolution independent estimates of the ice concentration and the fraction of melt pond cover to validate and/or supplement space-borne remote sensing products near the North Pole.

关键词： sea ice melt pond albedo concentration aerial observation North Pole

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Spatial-temporal variations of natural suitability of human settlement environment in the Three Gorges Reservoir Area A case study in Fengjie County,China

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Frontiers of Earth science 2019年第1期13卷 1-17页

作者： Jieqiong LUO Tinggang ZHOU Peijun DU Zhigang XU key Laboratory for Satellite Mapping technology and Applications of State Administration of Surveying Mapping and Geoinformation of China Nanjing UniversityNanjing 210023China jiangsu provincial key labomtory of geographic information science and technology Nanjing UniversityNanjing 210023China jiangsu Center for CoUabomtive Innovation in geographical information Resource Development and Application Nanjing 210023China School of geographical sciences Southwest UniversityChongqing 400715China key Laboratory of Eco-environments in Three Gorges Reservoir Region (Ministry of Education) Chongqing 400715China

With rapid environmental degeneration and socio-economie development,the human settlement environment (HSE)has experienced dramatic changes and attracted attention from different communities.Consequently,the spatial-temporal evaluation of natural suitability of the human settlement environment (NSHSE)has become essential for understanding the patterns and dynamics of HSE,and for coordinating sustainable development among regional populations,resources,and environments.This study aims to explore the spatialtemporal evolution of NSHSE patterns in 1997,2005,and 2009 in Fengjie County near the Three Gorges Reservoir Area (TGRA).A spatially weighted NSHSE model was established by integrating multi-source data (e.g.,census data,meteorological data,remote sensing images,DEM data,and GIS data)into one framework,where the Ordinary Least Squares (OLS)linear regression model was applied to calculate the weights of indices in the NSHSE model.Results show that the trend of natural suitability has been first downward and then upward, which is evidenced by the disparity of NSHSE existing in the south,north,and central areas of Fengjie County. Results also reveal clustered NSHSE patterns for all 30 townships.Meanwhile,NSHSE has significant influence on population distribution,and 71.49% of the total population is living in moderate and high suitable districts.

关键词： natural suitability of human settlement environment ordinary least squares model global and local spatial autocorrelation analyses Three Gorges Reservoir Area (TGRA) Fengjie Cotmty

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Deciphering the contributions of spectral and structural data to wheat yield estimation from proximal sensing

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The Crop Journal 2022年第5期10卷 1334-1345页

作者： Qing Li Shichao Jin Jingrong Zang Xiao Wang Zhuangzhuang Sun Ziyu Li Shan Xu Qin Ma Yanjun Su Qinghua Guo Dong Jiang Plant Phenomics Research Centre Academy for Advanced Interdisciplinary StudiesRegional Technique Innovation Center for Wheat ProductionMinistry of AgricultureKey Laboratory of Crop Physiology and Ecology in Southern ChinaMinistry of AgricultureCollaborative Innovation Centre for Modern Crop Production co-sponsored by Province and MinistryJiangsu Key Laboratory for Information AgricultureNanjing Agricultural UniversityNanjing 210095JiangsuChina jiangsu provincial key Laboratory of geographic information science and technology International Institute for Earth System SciencesNanjing UniversityNanjing 210023JiangsuChina Department of Forestry Mississippi State UniversityMississippi StateMS 39759USA State key Laboratory of Vegetation and Environmental Change Institute of BotanyChinese Academy of SciencesBeijing 100093China Department of Ecology College of Environmental Sciencesand Key Laboratory of Earth Surface Processes of the Ministry of EducationPeking UniversityBeijing 100871China

Accurate, efficient, and timely yield estimation is critical for crop variety breeding and management optimization. However, the contributions of proximal sensing data characteristics(spectral, temporal, and spatial) to yield estimation have not been systematically evaluated. We collected long-term, hypertemporal, and large-volume light detection and ranging(Li DAR) and multispectral data to(i) identify the best machine learning method and prediction stage for wheat yield estimation,(ii) characterize the contribution of multisource data fusion and the dynamic importance of structural and spectral traits to yield estimation, and(iii) elucidate the contribution of time-series data fusion and 3 D spatial information to yield estimation. Wheat yield could be accurately(R^(2)= 0.891) and timely(approximately-two months before harvest) estimated from fused Li DAR and multispectral data. The artificial neural network model and the flowering stage were always the best method and prediction stage, respectively. Spectral traits(such as CIgreen) dominated yield estimation, especially in the early stage, whereas the contribution of structural traits(such as height) was more stable in the late stage. Fusing spectral and structural traits increased estimation accuracy at all growth stages. Better yield estimation was realized from traits derived from complete 3 D points than from canopy surface points and from integrated multi-stage(especially from jointing to heading and flowering stages) data than from single-stage data. We suggest that this study offers a novel perspective on deciphering the contributions of spectral, structural, and timeseries information to wheat yield estimation and can guide accurate, efficient, and timely estimation of wheat yield.

关键词： LiDAR Multispectral Yield Phenotype Hyper-temporal

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Incorporating physiological knowledge into correlative species distribution models minimizes bias introduced by the choice of calibration area

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Marine Life science & technology 2024年第2期6卷 349-362页

作者： Zhixin Zhang Jinxin Zhou Jorge García Molinos Stefano Mammola Ákos Bede‑Fazekas Xiao Feng Daisuke Kitazawa Jorge Assis Tianlong Qiu Qiang Lin CAS key Laboratory of Tropical Marine Bio-resources and Ecology South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China Guangdong provincial key Laboratory of Applied Marine Biology South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China Marine Biodiversity and Ecological Evolution Research Center South China Sea Institute of OceanologyGuangzhou 510301China Global Ocean and Climate Research Center South China Sea Institute of OceanologyGuangzhou 510301China Institute of Industrial science The University of Tokyo5-1-5 KashiwanohaKashiwaChiba 277-8574Japan Arctic Research Center Hokkaido UniversitySapporoHokkaido 001-0021Japan Finnish Museum of Natural History University of HelsinkiHelsinkiFinland Molecular Ecology Group(MEG) Water Research Institute(IRSA)National Research Council of Italy(CNR)28922 Verbania PallanzaItaly National Biodiversity Future Center(NBFC) PalermoItaly Institute of Ecology and Botany HUN-REN Centre for Ecological ResearchVácrátótHungary Department of Environmental and Landscape Geography ELTE Eötvös Loránd UniversityBudapestHungary Department of Biology University of North CarolinaChapel HillNC 27599USA Centre of Marine sciences University of AlgarveCampus de GambelasFaroPortugal CAS key Laboratory of Experimental Marine Biology Institute of OceanologyChinese Academy of SciencesQingdao 266071China University of Chinese Academy of sciences Beijing 100049China

Correlative species distribution models(SDMs)are important tools to estimate species’geographic distribution across space and time,but their reliability heavily relies on the availability and quality of occurrence data.Estimations can be biased when occurrences do not fully represent the environmental requirement of a species.We tested to what extent species’physiological knowledge might influence SDM estimations.Focusing on the Japanese sea cucumber Apostichopus japonicus within the coastal ocean of East Asia,we compiled a comprehensive dataset of occurrence records.We then explored the importance of incorporating physiological knowledge into SDMs by calibrating two types of correlative SDMs:a naïve model that solely depends on environmental correlates,and a physiologically informed model that further incorporates physiological information as priors.We further tested the models’sensitivity to calibration area choices by fitting them with different buffered areas around known presences.Compared with naïve models,the physiologically informed models successfully captured the negative influence of high temperature on A.japonicus and were less sensitive to the choice of calibration area.The naïve models resulted in more optimistic prediction of the changes of potential distributions under climate change(i.e.,larger range expansion and less contraction)than the physiologically informed models.Our findings highlight benefits from incorporating physiological information into correlative SDMs,namely mitigating the uncertainties associated with the choice of calibration area.Given these promising features,we encourage future SDM studies to consider species physi-ological information where available.

关键词： Bayesian approach Climate change Habitat suitability Physiological knowledge Species distribution model

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A simple error estimation method for linear-regression-based thermal sharpening techniques with the consideration of scale difference

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Geo-Spatial information science 2014年第1期17卷 54-59页

作者： Xuehong CHEN Wentao LI Jin CHEN Wenfeng ZHAN Yuhan RAO State key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal UniversityBeijing 100875China jiangsu provincial key Laboratory of geographic information science and technology International Institute of Earth System ScienceNanjing UniversityNanjing 210093China

Thermal remote sensing imagery is helpful for land cover classification and related analysis.Unfortunately,the spatial resolution of thermal infrared(TIR)band is generally coarser than that of visual near-infrared band,which limits its more precise applications.Various thermal sharpening(TSP)techniques have been developed for improving the spatial resolution of the imagery of TIR band or land surface temperature(LST).However,there is no research on the theoretical estimation of TSP error till now,which implies that the error in sharpened LST imagery is unknown and the further analysis might be not reliable.In this paper,an error estimation method based on classical linear regression theory for the linear-regression-based TSP techniques was firstly introduced.However,the scale difference between the coarse resolution and fine resolution is not considered in this method.Therefore,we further developed an improved error estimation method with the consideration of the scale difference,which employs a novel term named equivalent random sample size to reflect the scale difference.A simulation study of modified TsHARP(a typical TSP technique)shows that the improved method estimated the TSP error more accurately than classical regression theory.Especially,the phenomena that TSP error increases with the increasing resolution gap between the initial and target resolutions can be successfully predicted by the proposed method.

关键词： thermal sharpening error estimation linear regression equivalent random sample size

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