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Publications Found: 1378

Seasonal patterns of canopy photosynthesis captured by remotely sensed sun-induced fluorescence and vegetation indexes in mid-to-high latitude forests: A cross-platform comparison
Xinchen Lu , Xiao Cheng, Xianglan Li Jiquan Chen, Minmin Sun, Ming Ji, Hong He, Siyu Wang, Sen Li, Jianwu Tang

Characterized by the noticeable seasonal patterns of canopy photosynthesis, mid-to-high latitude forests are sen- sitive to climate change and crucial for understanding the global carbon cycle. To monitor the seasonal cycle of the canopy photosynthesis from space, several remotely sensed indexes, such as normalized difference vegeta- …

Journal: Science of the Total Environment, Volume 644: 439-451 (2018), ISBN . DOI: org/10.1016/j.scitotenv.2018.06.269 Sites: US-Prr

In Situ Observations Reveal How Spectral Reflectance Responds To Growing Season Phenology Of An Open Evergreen Forest In Alaska
Kobayashi, H., Nagai, S., Kim, Y., Yang, W., Ikeda, K., Ikawa, H., Nagano, H., Suzuki, R.

Plant phenology timings, such as spring green-up and autumn senescence, are essential state information characterizing biological responses and terrestrial carbon cycles. Current efforts for the in situ reflectance measurements are not enough to obtain the exact interpretation of how seasonal spectral signature responds to phenological …

Journal: Remote Sensing, Volume 10 (7): 1071 (2018), ISBN . DOI: doi:10.3390/rs10071071 Sites: US-Prr

Warming-Induced Earlier Greenup Leads To Reduced Stream Discharge In A Temperate Mixed Forest Catchment
Kim, J. H., Hwang, T., Yang, Y., Schaaf, C. L., Boose, E., Munger, J. W.

The phenological response of vegetation to ongoing climate change may have great implications for hydrological regimes in the eastern United States. However, there have been few studies that analyze its resultant effect on catchment discharge dynamics, separating from dominant climatic controls. In this study, we examined the net …

Journal: Journal Of Geophysical Research: Biogeosciences, Volume 123 (6): 1960-1975 (2018), ISBN . DOI: 10.1029/2018JG004438 Sites: US-Ha1, US-Ha2

Chlorophyll Fluorescence Better Captures Seasonal And Interannual Gross Primary Productivity Dynamics Across Dryland Ecosystems Of Southwestern North America
Smith, W. K., Biederman, J. A., Scott, R. L., Moore, D. J., He, M., Kimball, J. S., Yan, D., Hudson, A., Barnes, M. L., MacBean, N., Fox, A. M., Litvak, M. E.

Journal: Geophysical Research Letters, Volume 45 (2): 748-757 (2018), ISBN . DOI: 10.1002/2017GL075922 Sites: US-SRG, US-SRM, US-Whs, US-Wkg

Estimating Regional Effects Of Climate Change And Altered Land Use On Biosphere Carbon Fluxes Using Distributed Time Delay Neural Networks With Bayesian Regularized Learning
Schmidt, A., Creason, W., Law, B. E.

he ability to accurately predict changes of the carbon and energy balance on a regional scale is of great importance for assessing the effect of land use changes on carbon sequestration under future climate conditions. Here, a suite of land cover-specific Distributed Time Delay Neural Networks with a parameter adoption algorithm …

Journal: Neural Networks, Volume 108: 97-113 (2018), ISBN . DOI: 10.1016/j.neunet.2018.08.004 Sites: US-Var

Regional Climate Model Simulation Of Surface Moisture Flux Variations In Northern Terrestrial Regions
Fischer, R., Walsh, J. E., Euskirchen, E. S., Bieniek, P. A.

The wetness of high-latitude land surfaces is strongly dependent on the dif- ference between precipitation (P) and evapotranspiration (ET). If climate models are to capture the trajectory of surface wetness in high latitudes, they must be able to simulate the seasonality and variations of the surface moisture fluxes, as well as the …

Journal: Atmospheric And Climate Sciences, Volume 08 (01): 29-54 (2018), ISBN . DOI: 10.4236/acs.2018.81003 Sites: US-Prr

Links Between Annual Surface Temperature Variation And Land Cover Heterogeneity For A Boreal Forest As Characterized By Continuous, Fibre-Optic Dts Monitoring
Saito, K., Iwahana, G., Ikawa, H., Nagano, H., Busey, R. C.

A fibre-optic DTS (distributed temperature sensing) system using Raman-scattering optical time domain reflectometry was deployed to monitor a boreal forest research site in the interior of Alaska. Surface temperatures range between −40°C in winter and 30°C in summer at this site. In parallel experiments, a fibre-optic cable sensor …

Journal: Geoscientific Instrumentation, Methods And Data Systems, Volume 7 (3): 223-234 (2018), ISBN . DOI: 10.5194/gi-7-223-2018 Sites: US-Prr

8 Million Phenological And Sky Images From 29 Ecosystems From The Arctic To The Tropics: The Phenological Eyes Network
Nagai, S., Akitsu, T., Saitoh, T. M., Busey, R. C., Fukuzawa, K., Honda, Y., Ichie, T., Ide, R., Ikawa, H., Iwasaki, A., Iwao, K., Kajiwara, K., Kang, S., Kim, Y., Khoon, K. L., Kononov, A. V., Kosugi, Y., Maeda, T., Mamiya, W., Matsuoka, M., Maximov, T. C., Menzel, A., Miura, T., Mizunuma, T., Morozumi, T., Motohka, T., Muraoka, H., Nagano, H., Nakai, T., Nakaji, T., Oguma, H., Ohta, T., Ono, K., Pungga, R. A., Petrov, R. E., Sakai, R., Schunk, C., Sekikawa, S., Shakhmatov, R., Son, Y., Sugimoto, A., Suzuki, R., Takagi, K., Takanashi, S., Tei, S., Tsuchida, S., Yamamoto, H., Yamasaki, E., Yamashita, M., Yoon, T. K., Yoshida, T., Yoshimura, M., Yoshitake, S., Wilkinson, M., Wingate, L., Nasahara, K. N.

We report long-term continuous phenological and sky images taken by time-lapse cameras through the Phenological Eyes Network (http://www.pheno-eye.org. Accessed 29 May 2018) in various ecosystems from the Arctic to the tropics. Phenological images are useful in recording the year-to-year variability in the timing of flowering, leaf-flush, …

Journal: Ecological Research, Volume : (2018), ISBN . DOI: 10.1007/s11284-018-1633-x Sites: US-Prr

Temporal Dynamics Of Aerodynamic Canopy Height Derived From Eddy Covariance Momentum Flux Data Across North American Flux Networks
Chu, H., Baldocchi, D. D., Poindexter, C., Abraha, M., Desai, A. R., Bohrer, G., Arain, M. A., Griffis, T., Blanken, P. D., O'Halloran, T. L., Thomas, R. Q., Zhang, Q., Burns, S. P., Frank, J. M., Christian, D., Brown, S., Black, T. A., Gough, C. M., Law, B. E., Lee, X., Chen, J., Reed, D. E., Massman, W. J., Clark, K., Hatfield, J., Prueger, J., Bracho, R., Baker, J. M., Martin, T. A.

Aerodynamic canopy height (ha) is the effective height of vegetation canopy for its influence on atmospheric fluxes and is a key parameter of surface‐atmosphere coupling. However, methods to estimate ha from data are limited. This synthesis evaluates the applicability and robustness of the calculation of ha from eddy covariance …

Journal: Geophysical Research Letters, Volume 45: 9275–9287 (2018), ISBN . DOI: 10.1029/2018GL079306 Sites: BR-Sa1, BR-Sa3, CA-Ca1, CA-Ca2, CA-Ca3, CA-Cbo, CA-ER1, CA-Gro, CA-Man, CA-NS1, CA-NS2, CA-NS3, CA-NS4, CA-NS5, CA-Oas, CA-Obs, CA-Ojp, CA-Qfo, CA-TP1, CA-TP3, CA-TP4, CA-TPD, US-Blo, US-Bn1, US-Bn2, US-Br1, US-Br3, US-Ced, US-CPk, US-CRT, US-Dix, US-Dk2, US-Dk3, US-Fmf, US-Fuf, US-GBT, US-GLE, US-GMF, US-Ha1, US-Ha2, US-Ho2, US-Ho3, US-IB1, US-IB2, US-KL1, US-KL2, US-KL3, US-KM1, US-KM2, US-KM3, US-KM4, US-Me2, US-Me3, US-Me4, US-Me5, US-Me6, US-MMS, US-MRf, US-NC1, US-NC2, US-Ne1, US-Ne2, US-Ne3, US-NR1, US-Oho, US-Prr, US-Ro1, US-Ro3, US-SB1, US-Shd, US-Skr, US-Slt, US-SP1, US-SP2, US-SP3, US-SRM, US-Srr, US-Syv, US-Ton, US-Tw3, US-Twt, US-UMB, US-UMd, US-Var, US-Vcm, US-WBW, US-Wi0, US-Wi1, US-Wi3, US-Wi4, US-Wi5, US-Wi8, US-Wi9, US-Wrc

Linking Big Models To Big Data: Efficient Ecosystem Model Calibration Through Bayesian Model Emulation
Fer, I. and Kelly, R. and Moorcroft, P. R. and Richardson, A. D. and Cowdery, E. M. and Dietze, M. C.

Data-model integration plays a critical role in assessing and improving our capacity to predict ecosystem dynamics. Similarly, the ability to attach quantitative statements of uncertainty around model forecasts is crucial for model assessment and interpretation and for setting field research priorities. Bayesian methods provide a …

Journal: Biogeosciences, Volume 15 (19): 5801-5830 (2018), ISBN . DOI: 10.5194/bg-15-5801-2018 Sites: US-Bar

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