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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [6]
成都山地灾害与环境研... [2]
自动化研究所 [2]
长春光学精密机械与物... [1]
昆明植物研究所 [1]
高能物理研究所 [1]
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OAI收割 [15]
内容类型
期刊论文 [14]
会议论文 [1]
发表日期
2023 [1]
2022 [1]
2021 [1]
2020 [2]
2018 [7]
2008 [2]
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学科主题
Ecology [1]
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Fecal-related anthropogenic sources are key determinants of lake microbiomes through microbial source tracking
期刊论文
OAI收割
ENVIRONMENTAL POLLUTION, 2023, 卷号: 336, 页码: 122507
作者:
Zhang,Zhongfu
;
Qi,Jinfeng
;
Yu,Qingguo
;
Wang,Shenglong
;
Wang,Hang
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2024/07/30
Microbial geography
Plateau region
Lake
Source tracking
Sewage
Anthropogenic impact
GENETIC-MARKERS
FRESH-WATER
POLLUTION
BACTERIA
MICROORGANISMS
IDENTIFICATION
BACTEROIDALES
DISTRIBUTIONS
POPULATION
TRANSPORT
Maternal effects of climate warming and nitrogen deposition vary with home and introduced ranges
期刊论文
OAI收割
FUNCTIONAL ECOLOGY, 2022, 卷号: 36, 期号: 3, 页码: 751-762
作者:
Zhou, Xiao-Hui
;
Li, Jing-Ji
;
Gao, Yuan-Yuan
;
Peng, Pei-Hao
;
He, Wei-Ming
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/03/07
adaptive maternal effect
climate change
nitrogen deposition
phenotypic traits
plant invasion
population source
transgenerational plasticity
Nonlocal Population Sources Triggering Dinoflagellate Blooms in the Changjiang Estuary and Adjacent Seas: A Modeling Study
期刊论文
OAI收割
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2021, 卷号: 126, 期号: 11, 页码: 19
作者:
Xu, Lingjing
;
Yang, Dezhou
;
Yu, Rencheng
;
Feng, Xingru
;
Gao, Guandong
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2022/01/05
dinoflagellate
Changjiang Estuary and adjacent seas
nonlocal population source
adjoint model
coupled physical-biological model
基于多源数据融合的北京市人口时空动态分析
期刊论文
OAI收割
地球信息科学学报, 2020, 卷号: 22, 期号: 11, 页码: 2199
作者:
崔晓临
;
张佳蓓
;
吴锋
;
张倩
;
吴尧慧
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2021/03/15
population spatialization
grid scale
spatio-temporal dynamics
multi-source data
nighttime light
spatial analysis
population redistribution
Beijing
人口空间化
格网尺度
时空动态
多源数据
夜间灯光
空间分析
人口疏解
北京市
Constraining the X-Ray-Infrared Spectral Index of Second-timescale Flares from SGR 1935+2154 with Palomar Gattini-IR
期刊论文
OAI收割
The Astrophysical Journal, 2020, 卷号: 901, 页码: L7
作者:
HXMT
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2022/02/08
Radio transient sources
Magnetars
Soft gamma-ray repeaters
2008
992
1471
Astrophysics - High Energy Astrophysical Phenomena
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: The Galactic magnetar SGR 1935+2154 has been reported to produce the first example of a bright millisecond-duration radio burst (FRB 200428) similar to the cosmological population of fast radio bursts (FRBs). The detection of a coincident bright X-ray burst represents the first observed multiwavelength counterpart of an FRB. However, the search for similar emission at optical wavelengths has been hampered by the high inferred extinction on the line of sight. Here, we present results from the first search for second-timescale emission from the source at near-infrared (NIR) wavelengths using the Palomar Gattini-IR observing system in the J band, enabled by a novel detector readout mode that allows short exposure times of ?0.84 s with 99.9% observing efficiency. With a total observing time of ?12 hr (?47,728 images) during its 2020 outburst, we place median 3Ҡlimits on the second-timescale NIR fluence of ?18 Jy ms (13.1 AB mag). The corresponding extinction-corrected limit is ?125 Jy ms for an estimated extinction of A
J
= 2.0 mag. Our observations were sensitive enough to easily detect an NIR counterpart of FRB 200428 if the NIR emission falls on the same power law as observed across its radio to X-ray spectrum. We report nondetection limits from epochs of four simultaneous X-ray bursts detected by the Insight-HXMT and NuSTAR telescopes during our observations. These limits provide the most stringent constraints to date on fluence of flares at 10
14
Hz, and constrain the fluence ratio of the NIR emission to coincident X-ray bursts to R
NIR
? 0.025 (fluence index ?0.35).
Application of UAV Remote Sensing for a Population Census of Large Wild Herbivores-Taking the Headwater Region of the Yellow River as an Example
期刊论文
OAI收割
REMOTE SENSING, 2018, 卷号: 10, 期号: 7, 页码: 15
作者:
Guo, Xingjian
;
Shao, Quanqin
;
Li, Yuzhe
;
Wang, Yangchun
;
Wang, Dongliang
  |  
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2019/05/23
UAV remote sensing
Yellow River source area
large wild herbivores
population
distribution patterns
Application of UAV Remote Sensing for a Population Census of Large Wild Herbivores-Taking the Headwater Region of the Yellow River as an Example
期刊论文
OAI收割
REMOTE SENSING, 2018, 卷号: 10, 期号: 7, 页码: 15
作者:
Guo, Xingjian
;
Shao, Quanqin
;
Li, Yuzhe
;
Wang, Yangchun
;
Wang, Dongliang
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2018/08/30
UAV remote sensing
Yellow River source area
large wild herbivores
population
distribution patterns
Application of UAV Remote Sensing for a Population Census of Large Wild Herbivores-Taking the Headwater Region of the Yellow River as an Example
期刊论文
OAI收割
REMOTE SENSING, 2018, 卷号: 10, 期号: 7, 页码: 15
作者:
Guo, Xingjian
;
Shao, Quanqin
;
Li, Yuzhe
;
Wang, Yangchun
;
Wang, Dongliang
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/05/23
UAV remote sensing
Yellow River source area
large wild herbivores
population
distribution patterns
Application of UAV Remote Sensing for a Population Census of Large Wild Herbivores-Taking the Headwater Region of the Yellow River as an Example
期刊论文
OAI收割
REMOTE SENSING, 2018, 卷号: 10, 期号: 7, 页码: 15
作者:
Guo, Xingjian
;
Shao, Quanqin
;
Li, Yuzhe
;
Wang, Yangchun
;
Wang, Dongliang
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/05/23
UAV remote sensing
Yellow River source area
large wild herbivores
population
distribution patterns
Effect of Large Wild Herbivore Populations on the Forage-Livestock Balance in the Source Region of the Yellow River
期刊论文
OAI收割
SUSTAINABILITY, 2018, 卷号: 10, 期号: 2, 页码: 18
作者:
Yang, Fan
;
Shao, Quanqin
;
Guo, Xingjian
;
Tang, Yuzhi
;
Li, Yuzhe
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2019/05/30
UAV remote sensing
large wild herbivores
population
forage-livestock balance
source region of the Yellow River