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| 1 | Temperature dependence of carbon mineralisation: conclusions from a long-term incubation of subalpine soil samples显示文摘 | Markus Reichstein Frank Bednorz Gabriele Broll Thomas K?tterer | 2000 | Soil Biology and Biochemistry2000，，7： | 4 |
| 2 | Land use/land cover changes and climate: modeling analysis and observational evidence显示文摘 | Roger A. Pielke Andy Pitman Dev Niyogi Rezaul Mahmood Clive McAlpine Faisal Hossain Kees Klein Goldewijk Udaysankar Nair Richard Betts Souleymane Fall Markus Reichstein Pavel Kabat Nathalie de Noblet | 2011 | WIREs Clim Change2011，，6： | 1 |
| 3 | Physiological and physicochemical controls on foliar volatile organic compound emissions 显示文摘 | ulo Niinemets Francesco Loreto Markus Reichstein | 2004 | Trends in Plant Science2004，9，4： | 1 |
| 4 | Global conver- gence in the temperature sensitivity of respiration at ecosys tern level显示文摘 | Miguel D Mahecha Markus Reichstein | 2010 | Science2010，329，5993： | 1 |
| 5 | On the temporal upscaling of evapotranspiration from instantaneous remote sensing measurements to 8-day mean daily-sums显示文摘 | Youngryel Ryu Dennis D. Baldocchi T. Andrew Black Matteo Detto Beverly E. Law Ray Leuning Akira Miyata Markus Reichstein Rodrigo Vargas Christof Ammann Jason Beringer Lawrence B. Flanagan Lianhong Gu Lindsay B. Hutley Joon Kim Harry McCaughey Eddy J. Moor | 2011 | Agricultural and Forest Meteorology2011，，： | 1 |
| 6 | The effect of soil water content, soil temperature, soil pH-value and the root mass on soil CO 2 efflux – A modified model显示文摘 | Sascha Reth Markus Reichstein Eva Falge | 2005 | Plant and Soil2005，，1： | 1 |
| 7 | Are ecological gradients in seasonal Q 10 of soil respiration explained by climate or by vegetation seasonality?显示文摘 | Xuhui Wang Shilong Piao Philippe Ciais Ivan A. Janssens Markus Reichstein Shushi Peng Tao Wang | 2010 | Soil Biology and Biochemistry2010，，10： | 1 |
| 8 | Physiological and physicochemical controls on foliar volatile organic compound emissions显示文摘 | ülo Niinemets Francesco Loreto Markus Reichstein | 2004 | Trends in Plant Science2004，，4： | 1 |
| 9 | Consequences of More Extreme Precipitation Regimes for Terrestrial Ecosystems显示文摘 | Knapp Alan K Beier Claus Briske David D Classen Aimée T Luo Yiqi Reichstein Markus Smith Melinda D Smith Stanley D Bell Jesse E Fay Philip A Heisler Jana L Leavitt Steven W Sherry Rebecca Smith Benjamin Weng Ensheng | 2008 | Bioscience2008，，9： | 1 |
| 10 | A perspective on Gaussian processes for Earth observation显示文摘INTRODUCTION Earth observation(EO)by airborne and satellite remote sensing and in situ observations plays a fundamental role in monitoring our planet.In the last decade;machine learning has attained outstanding results in the estimation of bio-geo-physical variables from the acquired images at local and global scales in a time-resolved manner.Gaussian processes(GPs)[1],as flexible non-parametric models to find functional relationships,have excelled in EO problems in recent years;mainly introduced for model inversion and emulation of complex codes[2]. | Gustau Camps-Valls Dino Sejdinovic Jakob Runge Markus Reichstein | 2019 | National Science Review2019，6，4： | 0 |
| 11 | Identification of characteristic plant co-occurrences in neotropical secondary montane forests显示文摘Aims Inferring environmental conditions from characteristic patterns of plant co-occurrences can be crucial for the development of conservation strategies concerning secondary neotropical forests.However,nomethodological agreement has been achieved so far regarding the identification and classification of characteristic groups of vascular plant species in the tropics.This study examines botanical and,in particular,statistical aspects to beconsidered in such analyses.Based on these,we propose a novel data-driven approach for the identification of characteristic plantco-oc currences in neotropical secondary mountain forests.Methods Floristic inventory data were gathered in secondary tropical mountain forests in Ecuador.Vegetation classification was performed by coupling locally adaptive isometric feature mapping,a non-linear ordination method and fuzzy-c-means clustering.This approach was designed for dealing with underlying non-linearities and uncertainties in the inventory data.Important Findings The results indicate that the applied non-linear mapping in combination with fuzzy classification of species occurrence allows an effective identification of characteristic groups of co-occurring species as fuzzy-defined clusters.The selected species indicated groups representing characteristic life-form distributions,as they correspond to various stages of forest regeneration.Combining the identified‘characteristic species groups’with meta-information derived from accompanying studies indicated that the clusters can also be related to habitat conditions.In conclusion,we identified species groups either characteristic of different stages of forest succession after clear-cutting or of impact by fire or a landslide.We expect that the proposed data-mining method will be useful for vegetation classification where no a priori knowledge is available. | Miguel D.Mahecha Alfredo Martı´nez Holger Lange Markus Reichstein Erwin Beck | 2009 | Journal of Plant Ecology2009，2，1： | 0 |
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