Chang Gyo Jung

ORCID: 0000-0002-9845-7732
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About
Contact & Profiles
Research Areas
  • Plant Water Relations and Carbon Dynamics
  • Soil Carbon and Nitrogen Dynamics
  • Ecology and Vegetation Dynamics Studies
  • Atmospheric and Environmental Gas Dynamics
  • Peatlands and Wetlands Ecology
  • Microbial Community Ecology and Physiology
  • Ubiquitin and proteasome pathways
  • Gut microbiota and health
  • Fire effects on ecosystems
  • Species Distribution and Climate Change
  • Science and Climate Studies
  • Protein Degradation and Inhibitors
  • Pasture and Agricultural Systems
  • Peptidase Inhibition and Analysis
  • Plant Stress Responses and Tolerance
  • Plant Molecular Biology Research
  • Insect-Plant Interactions and Control
  • Plant Parasitism and Resistance
  • Plant Ecology and Soil Science
  • interferon and immune responses
  • Ecosystem dynamics and resilience
  • Bioenergy crop production and management
  • Soil and Unsaturated Flow
  • Polymer Nanocomposites and Properties
  • Glycosylation and Glycoproteins Research

University of New Mexico
2023

Northern Arizona University
2018-2022

University of Central Florida
2021-2022

University of Oklahoma
2017-2019

Kangwon National University
2012-2015

Abstract Soil microbial respiration is an important source of uncertainty in projecting future climate and carbon (C) cycle feedbacks. However, its feedbacks to warming underlying mechanisms are still poorly understood. Here we show that the temperature sensitivity soil ( Q 10 ) a temperate grassland ecosystem persistently decreases by 12.0 ± 3.7% across 7 years warming. Also, shifts communities play critical roles regulating thermal adaptation respiration. Incorporating functional gene...

10.1038/s41467-020-18706-z article EN cc-by Nature Communications 2020-09-29

Abstract Quantifying soil organic carbon ( SOC ) decomposition under warming is critical to predict carbon–climate feedbacks. According the substrate regulating principle, would decrease as labile declines field warming, but observations of do not always support this prediction. This discrepancy could result from varying changes in components and microbial communities warming. study aimed determine with different turnover times after subjected long‐term and/or root exclusion limit C input,...

10.1111/gcb.13755 article EN Global Change Biology 2017-06-09

A large number of really interesting new gene (RING) E3 ligases contribute to the post-translational modification target proteins during plant responses environmental stresses.However, physical interactome RING in rice remains largely unknown.Here, we evaluated expression patterns 47 Oryza sativa finger protein (OsRFP) genes response abiotic stresses via semi-quantitative reverse transcription polymerase chain reaction (RT-PCR) and silico analysis.Subsequently, molecular dissection nine...

10.1093/dnares/dst011 article EN cc-by-nc DNA Research 2013-04-09

Abstract Succession theory predicts altered sensitivity of ecosystem functions to disturbance (i.e., climate change) due the temporal shift in plant community composition. However, empirical evidence global change experiments is lacking support this prediction. Here, we present findings from an 8‐year long‐term experiment with warming and precipitation manipulation (double halved amount). First, observed a species composition over 8 years, resulting transition annual C 3 ‐dominant perennial...

10.1111/gcb.14333 article EN Global Change Biology 2018-05-31

Abstract. Predicting future changes in ecosystem services is not only highly desirable but also becoming feasible as several forces (e.g., available big data, developed data assimilation (DA) techniques, and advanced cyber-infrastructure) are converging to transform ecological research into quantitative forecasting. To realize forecasting, we have an Ecological Platform for Assimilating Data (EcoPAD, v1.0) models. EcoPAD (v1.0) a web-based software system that automates transfer processing...

10.5194/gmd-12-1119-2019 article EN cc-by Geoscientific model development 2019-03-25

Abstract Shifts in dominance and species reordering can occur response to global change. However, it is not clear how altered precipitation disturbance regimes interact affect composition dominance. We explored community‐level diversity compositional similarity responses, both across within years, a manipulated gradient annual clipping mixed‐grass prairie Oklahoma, USA. imposed seven treatments (five water exclusion levels [−20%, −40%, −60%, −80%, −100%], addition [+50%], control [0% change...

10.1002/ece3.6400 article EN cc-by Ecology and Evolution 2020-06-01

The western United States is projected to experience more frequent and severe wildfires in the future due drier hotter climate conditions, exacerbating destructive wildfire impacts on forest ecosystems such as tree mortality unsuccessful post-fire regeneration. While empirical studies have revealed strong relationships between topographical information plant regeneration, ecological processes ecosystem models either not fully addressed topography-mediated effects probability of or only...

10.1111/gcb.16764 article EN publisher-specific-oa Global Change Biology 2023-05-21

Abstract Grassland ecosystems provide essential services to society. To maintain ecosystem functions and of grasslands under changing environments, it is critical understand how respond feedback climate change. Here, we present results from a long‐term (16 years) warming clipping (to mimic hay harvesting or grazing) experiment conducted in grassland dominated by C 4 grasses the Great Plains, USA. We analyzed responses net primary production (NPP), aboveground NPP (ANPP), belowground (BNPP)...

10.1002/ecs2.3899 article EN Ecosphere 2022-01-01

Abstract Terrestrial ecosystems can potentially alleviate or exacerbate climate change by regulating atmospheric CO 2 concentration. Divergent predictions of the terrestrial C sink Earth System Models (ESMs) indicate no unified mechanism regarding abiotic and biotic response to change. The amount diversity observations cycle create an opportunity improve predictive capacity C‐cycle models. Modeling study with could provide valuable insights into controls on interannual variability sink. In...

10.1029/2021jg006474 article EN Journal of Geophysical Research Biogeosciences 2022-02-03

Ubiquitous thermal acclimation of leaf respiration could mitigate the increase. However, whether species different plant functional groups showing distinct or similar justifies simple prediction respiratory carbon (C) loss to a warming climate. In this study, dark (Rd) illinois bundleflower (IB, legume), stiff goldenrod (GR, C3 forbs), indian grass, little bluestem and king ranch (IG, LB KB, C4 grass) were measured with detached leaves sampled in 17-year experiment. The results showed that...

10.1093/jpe/rty042 article EN Journal of Plant Ecology 2018-10-25

Abstract. Predicting future changes in ecosystem services is not only highly desirable but also becomes feasible as several forces (e.g., available big data, developed data assimilation (DA) techniques, and advanced cyberinfrastructure) are converging to transform ecological research quantitative forecasting. To realize forecasting, we have an Ecological Platform for Assimilating Data (EcoPAD) into models. EcoPAD a web-based software system that automates transfer processes from sensor...

10.5194/gmd-2018-76 article EN cc-by 2018-05-25

Abstract Soil microbial respiration is an important source of uncertainty in projecting future climate and carbon (C) cycle feedbacks. Despite intensive studies for two decades, the magnitude, direction, duration such feedbacks are uncertain, their underlying mechanisms still poorly understood. Here we examined responses soil community structure to long-term experimental warming a temperate grassland ecosystem. Our results indicated that temperature sensitivity (i.e., Q 10 ) persistently...

10.1101/2020.02.23.961300 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2020-02-25
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