Jiquan Chen

ORCID: 0000-0003-0761-9458
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About
Contact & Profiles
Research Areas
  • Plant Water Relations and Carbon Dynamics
  • Atmospheric and Environmental Gas Dynamics
  • Climate variability and models
  • Remote Sensing in Agriculture
  • Rangeland Management and Livestock Ecology
  • Land Use and Ecosystem Services
  • Ecology and Vegetation Dynamics Studies
  • Fire effects on ecosystems
  • Tree-ring climate responses
  • Forest ecology and management
  • Peatlands and Wetlands Ecology
  • Hydrology and Watershed Management Studies
  • Soil Carbon and Nitrogen Dynamics
  • Plant responses to elevated CO2
  • Coastal wetland ecosystem dynamics
  • Urban Heat Island Mitigation
  • Seed and Plant Biochemistry
  • Forest Management and Policy
  • Forest Ecology and Biodiversity Studies
  • Species Distribution and Climate Change
  • Geology and Paleoclimatology Research
  • Bioenergy crop production and management
  • Urban Green Space and Health
  • Rangeland and Wildlife Management
  • Soil and Unsaturated Flow

Michigan State University
2016-2025

Great Lakes Bioenergy Research Center
2014-2025

Inner Mongolia University of Technology
2024-2025

China University of Geosciences (Beijing)
2019-2025

Brown University
2025

University of Colorado Anschutz Medical Campus
2023-2025

University of Colorado Denver
2025

Institute of Bast Fiber Crops
2007-2024

Chinese Academy of Agricultural Sciences
2018-2024

Nanjing University of Information Science and Technology
2013-2024

[1] We upscaled FLUXNET observations of carbon dioxide, water, and energy fluxes to the global scale using machine learning technique, model tree ensembles (MTE). trained MTE predict site-level gross primary productivity (GPP), terrestrial ecosystem respiration (TER), net exchange (NEE), latent (LE), sensible heat (H) based on remote sensing indices, climate meteorological data, information land use. applied MTEs generate flux fields at a 0.5° × spatial resolution monthly temporal from 1982...

10.1029/2010jg001566 article EN Journal of Geophysical Research Atmospheres 2011-08-05
Gilberto Pastorello Carlo Trotta Eleonora Canfora Housen Chu Danielle Christianson and 95 more You-Wei Cheah C. Poindexter Jiquan Chen Abdelrahman Elbashandy Marty Humphrey Peter Isaac Diego Polidori Markus Reichstein Alessio Ribeca Catharine van Ingen Nicolas Vuichard Leiming Zhang B. D. Amiro Christof Ammann M. Altaf Arain Jonas Ardö Timothy J. Arkebauer Stefan K. Arndt Nicola Arriga Marc Aubinet Mika Aurela Dennis Baldocchi Alan Barr Eric Beamesderfer Luca Belelli Marchesini Onil Bergeron Jason Beringer Christian Bernhofer Daniel Berveiller D. P. Billesbach T. Andrew Black Peter D. Blanken Gil Bohrer Julia Boike Paul V. Bolstad Damien Bonal Jean-Marc Bonnefond D. R. Bowling Rosvel Bracho Jason Brodeur Christian Brümmer Nina Buchmann Benoît Burban Sean P. Burns Pauline Buysse Peter Cale M. Cavagna Pierre Cellier Shiping Chen Isaac Chini Torben R. Christensen James Cleverly Alessio Collalti Claudia Consalvo Bruce D. Cook David Cook Carole Coursolle Edoardo Cremonese Peter S. Curtis Ettore D’Andrea Humberto da Rocha Xiaoqin Dai K. J. Davis Bruno De Cinti A. de Grandcourt Anne De Ligne Raimundo Cosme de Oliveira Nicolas Delpierre Ankur R. Desai Carlos Marcelo Di Bella Paul Di Tommasi A. J. Dolman Francisco Domingo Gang Dong Sabina Dore Pierpaolo Duce Éric Dufrêne Allison L. Dunn Jiří Dušek Derek Eamus Uwe Eichelmann Hatim Abdalla M. ElKhidir Werner Eugster Cäcilia Ewenz B. E. Ewers D. Famulari Silvano Fares Iris Feigenwinter Andrew Feitz Rasmus Fensholt Gianluca Filippa M. L. Fischer J. M. Frank Marta Galvagno Mana Gharun

Abstract The FLUXNET2015 dataset provides ecosystem-scale data on CO 2 , water, and energy exchange between the biosphere atmosphere, other meteorological biological measurements, from 212 sites around globe (over 1500 site-years, up to including year 2014). These sites, independently managed operated, voluntarily contributed their create global datasets. Data were quality controlled processed using uniform methods, improve consistency intercomparability across sites. is already being used...

10.1038/s41597-020-0534-3 article EN cc-by Scientific Data 2020-07-09

Abstract: Although forest edges have been studied extensively as an important consequence of fragmentation, a unifying theory edge influence has yet to be developed. Our objective was take steps toward the development such by (1) synthesizing current knowledge patterns structure and composition at anthropogenically created edges, (2) developing hypotheses about magnitude distance that consider ecological processes influencing these patterns, (3) identifying needs for future research. We...

10.1111/j.1523-1739.2005.00045.x article EN Conservation Biology 2005-06-01

This review was developed to introduce the essential components and variants of structural equation modeling (SEM), synthesize common issues in SEM applications, share our views on SEM's future ecological research. We searched Web Science applications studies from 1999 through 2016 summarized potential SEMs, with a special focus unexplored uses ecology. also analyzed discussed previous publications presented view for its applications. found 146 relevant studies. that five had not commenly...

10.1186/s13717-016-0063-3 article EN cc-by Ecological Processes 2016-11-17

Microclimate is the suite of climatic conditions measured in localized areas near earth's surface (Geiger 1965). These environmental variables, which include temperature, light, windspeed, and moisture, have been critical throughout human history, providing meaningful indicators for habitat selection other activities. For example, 2600 years Chinese used seasonal changes temperature precipitation to schedule their agricultural In seminal studies, Shirley (1929, 1945) emphasized microclimate...

10.2307/1313612 article EN BioScience 1999-04-01

Disturbances are important for renewal of North American forests. Here we summarize more than 180 site years eddy covariance measurements carbon dioxide flux made at forest chronosequences in America. The disturbances included stand‐replacing fire (Alaska, Arizona, Manitoba, and Saskatchewan) harvest (British Columbia, Florida, New Brunswick, Oregon, Quebec, Saskatchewan, Wisconsin) events, insect infestations (gypsy moth, tent caterpillar, mountain pine beetle), Hurricane Wilma,...

10.1029/2010jg001390 article EN Journal of Geophysical Research Atmospheres 2010-10-26

Edge is an important landscape feature of fragmented forest landscapes in the Pacific Northwest, USA. Our primary objective this study to characterize changes microclimatic variables from recent clearcut edges into old‐growth Douglas‐fir forests as influenced by edge exposures and local weather conditions. Microclimatic gradients are described along transects extending recently 240 m stands (Pseudotsuga menziesii (Mirb.) Franco) west Cascade Range U.S. Northwest. Data for air temperature,...

10.2307/1942053 article EN Ecological Applications 1995-02-01

Forest edges created by dispersed-patch clear-cutting have become a conspicuous landscape feature in western North America, but the effects of edge on forest structure and function are still poorly understood. In this paper we describe responses stocking density, growth, mortality, regeneration for three conifer species from clear-cut into interior old-growth patches adjacent to 10-15 yr old clearcuts southern Washington central Oregon. The significance each variable was tested through...

10.2307/1941873 article EN Ecological Applications 1992-11-01

Large datasets of greenhouse gas and energy surface-atmosphere fluxes measured with the eddy-covariance technique (e.g., FLUXNET2015, AmeriFlux BASE) are widely used to benchmark models remote-sensing products. This study addresses one major challenges facing model-data integration: To what spatial extent do flux measurements taken at individual sites reflect model- or satellite-based grid cells? We evaluate footprints—the temporally dynamic source areas that contribute fluxes—and...

10.1016/j.agrformet.2021.108350 article EN cc-by Agricultural and Forest Meteorology 2021-02-16

Significance Terrestrial gross primary productivity (GPP), the total photosynthetic CO 2 fixation at ecosystem level, fuels all life on land. However, its spatiotemporal variability is poorly understood, because GPP determined by many processes related to plant phenology and physiological activities. In this study, we find that phenological properties can be integrated in a robust index—the product of length uptake period seasonal maximal photosynthesis—to explain over space time response...

10.1073/pnas.1413090112 article EN Proceedings of the National Academy of Sciences 2015-02-17

Accurately simulating gross primary productivity (GPP) in terrestrial ecosystem models is critical because errors simulated GPP propagate through the model to introduce additional biomass and other fluxes. We evaluated simulated, daily average from 26 against estimated at 39 eddy covariance flux tower sites across United States Canada. None of this study match within observed uncertainty. On average, overestimate winter, spring, fall, underestimate summer. Models overpredicted under dry...

10.1029/2012jg001960 article EN Journal of Geophysical Research Atmospheres 2012-06-07

Abstract The intensification of the hydrological cycle, with an observed and modeled increase in drought incidence severity, underscores need to quantify effects on carbon cycling terrestrial sink. FLUXNET, a global network eddy covariance towers, provides dense data streams meteorological data, through flux partitioning gap filling algorithms, estimates net ecosystem productivity ( F NEP ), gross P respiration R ). We analyzed functional relationship these three fluxes relative evaporative...

10.1111/j.1365-2486.2009.01991.x article EN Global Change Biology 2009-06-12
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