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| 1 | Changes in daily climate extremes in China and its connection to the large scale atmospheric circulation during 1961 - 2003 显示文摘 | Qinglong You Shiehang Kang Enrie Aguilar | 2011 | Climate Dynamics2011，36，： | 1 |
| 2 | Grazing Management Plans improve pasture selection by cattle and forage quality in sub-alpine and alpine grasslands显示文摘Over the last decades, the reduction of manpower for herd management has led to an increase of continuous grazing systems(CGS) in the Italian Alps, which allow cattle to roam freely. Under CGS, due to high selectivity, livestock exploit grasslands unevenly, over-and under-using specific areas at the same time with negative effects on their conservation. To counteract these effects, a specific policy and management tool(i.e. Grazing Management Plan) has been implemented by Piedmont Region since 2010. The Grazing Management Plans are based on the implementation of rotational grazing systems(RGS), with animal stocking rate adjusted to balance it with grassland carrying capacity. A case study was conducted on alpine summer pastures to test the 5-year effects produced by the implementation of a Grazing Management Plan in grasslands formerly managed under several years of CGS on 1) the selection for different vegetation communities by cattle, 2) the abundance of oligo-, meso-, and eutrophic plant species(defined according to Landolt N indicator value), and 3) forage yield, quality, and palatability. A total of 193 vegetation surveys were carried out in 2011 and repeated in 2016. Cows were tracked yearly with Global Positioning System collars to assess their grazing selectivity, and forage Pastoral Value(PV) was computed to evaluate forage yield, quality, and palatability. Five years after RGS implementation, cow selectivity significantly decreased and the preference for the different vegetation communities was more balanced than under CGS. The abundance of meso-and eutrophic species increased, whereas oligotrophic ones decreased. Moreover, the abundance of moderately to highly palatable plant species increased, whereas non-palatable plant species decreased, with a consequent significant enhancement of the PV. Our findings indicate that the implementation of Grazing Management Plans can be considered a sustainable and effective management tool for improving pasture selection by cattle and forage quality in mountain pastures. | Marco PITTARELLO Massimiliano PROBO Elisa PEROTTI Michele LONATI Giampiero LOMBARDI Simone RAVETTO ENRI | 2019 | Journal of Mountain Science2019，16，9： | 1 |
| 3 | Use of DNA from dry leaves for PCR and RAPDana lysis显示文摘 | Thom son D H enry R | 1993 | Plant M olecu lar Biology R eporter1993，11，3： | 1 |
| 4 | Expression and biological effects of CB 1 cannabinoid receptor in rat parotid gland显示文摘 | Lucila Busch Leonor Sterin-Borda Enri Borda | 2004 | Biochemical Pharmacology2004，，9： | 1 |
| 5 | Non-invasive estimate of blood glucose and blood pressure from a photoplethysmograph by means of machine learning techniques显示文摘 | Enrie M M | 2011 | Artificial Intelligence in Medicine2011，53，2： | 1 |
| 6 | Comparison between Laboratory and Field Leachability of MSWI Bottom Ash as a Road Material显示文摘 | Maria Izquierdo Xavier Querol Alejandro Josa Enrie Vazquez Angel Lopez- Soler | 2008 | Science of The Total Environment2008，389，1： | 1 |
| 7 | Fasting and postprandial ischemic threshold in patients with unstable angina with and without postprandial angina at rest显示文摘 | Jaume Figueras Enrie Domingo | 1998 | Am Heart J1998，136，2： | 1 |
| 8 | Liraglutide a once , dailyhum an glucagon , like peptide 1 an alogue-provides sustained im provements in glycaemic control and weight for 2 years as m onotherapycompared w ith glimepiride inpatients w ith type 2 diabetes显示文摘 | G arber A H enry RR R ather R | | D iabetes Obes M e ta b0，13，4： | 1 |
| 9 | Coronary vasoconstriction during myocardial ischemia induced by rises in metabolic demand in patients with coronary artery disease显示文摘 | Gianmario Sambuceti Mario Marzilli Paolo Marraccini Jan Schneider-Eicke Enri Gliozheni Oberdan Parodi | 1997 | Circulation1997，95，12： | 1 |
| 10 | Are private sector consumption decisions affected by public sector consumption? 显示文摘 | ENRY O N OLEKALNS | 2001 | Economic Record2001，77，239： | 1 |
| 11 | Increased inter-spike intervals and fast after hyperpolarization of action potentials in rat hippocampal pyramidal cells accompanied with altered calbindin immunoreactivity 10-12 months after global forebrain ischemia显示文摘 | Arabadzise D Ylinen A Enri Z | 2002 | Neurosci Lett2002，331，1： | 1 |
| 12 | Iron regulation by hepcidin显示文摘 | Zhao N Zhang AS Enris CA | 2013 | J Clin Invest2013，123，6： | 1 |
| 13 | Form-function analysis of the effect of canopy morphology on leaf self-shading in the seagrass显示文摘 | Enri quez S Pantoja-Reyes N I | 2005 | Thalassia testudinum Oecologia2005，，145： | 1 |
| 14 | Flicker Evaluation of the Sea Gen Tidal Power Plant显示文摘 | Thiringer T Mac Enri J Reed M | 2011 | Sustainable Energy IEEE Transactions on2011，2，4： | 1 |
| 15 | Alpine tundra species phenology is mostly driven by climate-related variables rather than by photoperiod显示文摘The study of plant phenology has frequently been used to link phenological events to various factors,such as temperature or photoperiod.In the high-alpine environment,proper timing of the phenological cycle has always been crucial to overcome harsh conditions and potential extreme events(i.e.spring frosts)but little is known about the response dynamics of the vegetation,which could shape the alpine landscape in a future of changing climate.Alpine tundra vegetation is composed by an array of species belonging to different phytosociological optima and with various survival strategies,and snowbed communities are a relevant expression of such an extreme-climate adapted flora.We set eight permanent plots with each one in a snowbed located on the Cimalegna plateau in Northwestern Italy and then we selected 10 most recurring species among our plots,all typical of the alpine tundra environment and classified in 3different pools:snowbed specialists,grassland species and rocky debris species.For 3 years we registered the phenophases of each species during the whole growing season using an adaptation of the BBCH scale.We later focused on the three most biologically relevant phenophases,i.e.,flower buds visible,full flowering,and beginning of seed dispersion.Three important season-related variables were chosen to investigate their relationship with the phenological cycle of the studied species:(i)the Day Of Year(DOY),the progressive number of days starting from the 1 st of January,used as a proxy of photoperiod,(ii)Days From Snow Melt(DFSM),selected to include the relevance of the snow dynamics,and(iii)Growing Degree Days(GDD),computed as a thermal sum.Our analysis highlighted that phenological development correlated better with DFSM and GDD than with DOY.Indeed,models showed that DOY was always a worse predictor since it failed to overcome interannual variations,while DFSM and marginally GDD were better suited to predict the phenological development of most of the species,despite differences intemperature and snowmelt date among the three years.Even if the response pattern to the three variables was mainly consistent for all the species,the timing of their phenological response was different.Indeed,species such as Salix herbacea and Ranunculus glacialis were always earlier in the achievement of the phenophases,while Agrostis rupestris and Euphrasia minima developed later and the remaining species showed an intermediate behavior.However,we did not detect significant differences among the three functional pools of species. | QUAGLIA Elena RAVETTO ENRI Simone PEROTTI Elisa PROBO Massimiliano LOMBARDI Giampiero LONATI Michele | 2020 | Journal of Mountain Science2020，17，9： | 0 |
| 16 | 美国货车制动机(续完)显示文摘 | H enry C.Christi 宫文平 翟智民 | 2001 | 国外铁道车辆2001，38，2： | 0 |
| 17 | Prediction of Leachate Generation in a Landfill Using Artificial Neural Networks显示文摘 | Samin Tohru Furuichi Kiasei Ishhi Enri Damanhuri Suprihanto Notodarmodjo Kuntjoro Adji Sidarta | 2012 | Journal of Environmental Science and Engineering(B)2012，1，11： | 0 |
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