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冰川末端融水湖加速了冰川冰的流失 快报文章
资源环境快报,2020年第20期
作者:  吴秀平
Microsoft Word(15Kb)  |  收藏  |  浏览/下载:414/0  |  提交时间:2020/11/02
Glacier  meltwater lake  model  
新模型定量评估加州干旱对经济和环境的影响 快报文章
资源环境快报,2020年第15期
作者:  李恒吉
Microsoft Word(366Kb)  |  收藏  |  浏览/下载:353/0  |  提交时间:2020/08/16
Model  The drought  
The timing and effect of the earliest human arrivals in North America 期刊论文
NATURE, 2020
作者:  Lorena Becerra-Valdivia;  Thomas Higham
收藏  |  浏览/下载:26/0  |  提交时间:2020/08/09

The peopling of the Americas marks a major expansion of humans across the planet. However, questions regarding the timing and mechanisms of this dispersal remain, and the previously accepted model (termed '  Clovis-first'  )-suggesting that the first inhabitants of the Americas were linked with the Clovis tradition, a complex marked by distinctive fluted lithic points(1)-has been effectively refuted. Here we analyse chronometric data from 42 North American and Beringian archaeological sites using a Bayesian age modelling approach, and use the resulting chronological framework to elucidate spatiotemporal patterns of human dispersal. We then integrate these patterns with the available genetic and climatic evidence. The data obtained show that humans were probably present before, during and immediately after the Last Glacial Maximum (about 26.5-19 thousand years ago)(2,3)but that more widespread occupation began during a period of abrupt warming, Greenland Interstadial 1 (about 14.7-12.9 thousand years beforead 2000)(4). We also identify the near-synchronous commencement of Beringian, Clovis and Western Stemmed cultural traditions, and an overlap of each with the last dates for the appearance of 18 now-extinct faunal genera. Our analysis suggests that the widespread expansion of humans through North America was a key factor in the extinction of large terrestrial mammals.


A Bayesian age model suggests that human dispersal to the Americas probably began before the Last Glacial Maximum, overlapping with the last dates of appearance for several faunal genera.


  
Spatial resolution and location impact group structure in a marine food web 期刊论文
ECOLOGY LETTERS, 2020
作者:  Ohlsson, Mikael;  Eklof, Anna
收藏  |  浏览/下载:7/0  |  提交时间:2020/07/14
Communities  ecological networks  food webs  group model  group structure  spatial location  spatial resolution  
Comparing energy and material efficiency rebound effects: an exploration of scenarios in the GEM-E3 macroeconomic model 期刊论文
ECOLOGICAL ECONOMICS, 2020, 173
作者:  Skelton, Alexandra C. H.;  Paroussos, Leonidas;  Allwood, Julian M.
收藏  |  浏览/下载:10/0  |  提交时间:2020/08/18
CGE model  Computable general equilibrium  Rebound effect  Jevon'  s Paradox  Material efficiency  Resource efficiency  Circular economy  
Biodiversity conservation in a dynamic world may lead to inefficiencies due to lock-in effects and path dependence 期刊论文
ECOLOGICAL ECONOMICS, 2020, 173
作者:  Drechsler, Martin;  Waetzold, Frank
收藏  |  浏览/下载:8/0  |  提交时间:2020/08/18
Dynamic optimisation  Ecological-economic model  Ecological benefit  Economic cost  Efficiency  Resource allocation  
The economic impacts of water supply restrictions due to climate and policy change: A transboundary river basin supply-side input-output analysis 期刊论文
ECOLOGICAL ECONOMICS, 2020, 172
作者:  Eamen, Leila;  Brouwer, Roy;  Razavi, Saman
收藏  |  浏览/下载:9/0  |  提交时间:2020/07/02
Supply-side input-output model  Transboundary river basin  Water supply restriction  Climate change  Economic impacts  Water policy  
Ecological macroeconomics in the open economy: Sustainability, unequal exchange and policy coordination in a center-periphery model 期刊论文
ECOLOGICAL ECONOMICS, 2020, 172
作者:  Althouse, Jeffrey;  Guarini, Giulio;  Gabriel Porcile, Jose
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/02
Ecological macroeconomics  Green growth  Ecologically unequal exchange  Balance of payments constraint  Environmental policy coordination  Center-periphery model  
A developmental landscape of 3D-cultured human pre-gastrulation embryos 期刊论文
NATURE, 2020, 577 (7791) : 537-+
作者:  Xiang, Lifeng;  Yin, Yu;  Zheng, Yun;  Ma, Yanping;  Li, Yonggang;  Zhao, Zhigang;  Guo, Junqiang;  Ai, Zongyong;  Niu, Yuyu;  Duan, Kui;  He, Jingjing;  Ren, Shuchao;  Wu, Dan;  Bai, Yun;  Shang, Zhouchun;  Dai, Xi;  Ji, Weizhi;  Li, Tianqing
收藏  |  浏览/下载:12/0  |  提交时间:2020/07/03

Our understanding of how human embryos develop before gastrulation, including spatial self-organization and cell type ontogeny, remains limited by available two-dimensional technological platforms(1,2) that do not recapitulate the in vivo conditions(3-5). Here we report a three-dimensional (3D) blastocyst-culture system that enables human blastocyst development up to the primitive streak anlage stage. These 3D embryos mimic developmental landmarks and 3D architectures in vivo, including the embryonic disc, amnion, basement membrane, primary and primate unique secondary yolk sac, formation of anterior-posterior polarity and primitive streak anlage. Using single-cell transcriptome profiling, we delineate ontology and regulatory networks that underlie the segregation of epiblast, primitive endoderm and trophoblast. Compared with epiblasts, the amniotic epithelium shows unique and characteristic phenotypes. After implantation, specific pathways and transcription factors trigger the differentiation of cytotrophoblasts, extravillous cytotrophoblasts and syncytiotrophoblasts. Epiblasts undergo a transition to pluripotency upon implantation, and the transcriptome of these cells is maintained until the generation of the primitive streak anlage. These developmental processes are driven by different pluripotency factors. Together, findings from our 3D-culture approach help to determine the molecular and morphogenetic developmental landscape that occurs during human embryogenesis.


A 3D culture system to model human embryonic development, together with single-cell transcriptome profiling, provides insights into the molecular developmental landscape during human post-implantation embryogenesis.


  
Nearest neighbours reveal fast and slow components of motor learning 期刊论文
NATURE, 2020, 577 (7791) : 526-+
作者:  Kollmorgen, Sepp;  Hahnloser, Richard H. R.;  Mante, Valerio
收藏  |  浏览/下载:4/0  |  提交时间:2020/07/03

A new method for analysing change in high-dimensional data is based on nearest-neighbour statistics and is applied here to song dynamics during vocal learning in zebra finches, but could potentially be applied to other biological and artificial behaviours.


Changes in behaviour resulting from environmental influences, development and learning(1-5) are commonly quantified on the basis of a few hand-picked features(2-4,6,7) (for example, the average pitch of acoustic vocalizations(3)), assuming discrete classes of behaviours (such as distinct vocal syllables)(2,3,8-10). However, such methods generalize poorly across different behaviours and model systems and may miss important components of change. Here we present a more-general account of behavioural change that is based on nearest-neighbour statistics(11-13), and apply it to song development in a songbird, the zebra finch(3). First, we introduce the concept of '  repertoire dating'  , whereby each rendition of a behaviour (for example, each vocalization) is assigned a repertoire time, reflecting when similar renditions were typical in the behavioural repertoire. Repertoire time isolates the components of vocal variability that are congruent with long-term changes due to vocal learning and development, and stratifies the behavioural repertoire into '  regressions'  , '  anticipations'  and '  typical renditions'  . Second, we obtain a holistic, yet low-dimensional, description of vocal change in terms of a stratified '  behavioural trajectory'  , revealing numerous previously unrecognized components of behavioural change on fast and slow timescales, as well as distinct patterns of overnight consolidation(1,2,4,14,15) across the behavioral repertoire. We find that diurnal changes in regressions undergo only weak consolidation, whereas anticipations and typical renditions consolidate fully. Because of its generality, our nonparametric description of how behaviour evolves relative to itself-rather than to a potentially arbitrary, experimenter-defined goal(2,3,14,16)-appears well suited for comparing learning and change across behaviours and species(17,18), as well as biological and artificial systems(5).