21 January, 2020 (Brugnera, GCB, Liana) di Porcia e Brugnera, M, Meunier, F, Longo, M, et al. Modeling the impact of liana infestation on the demography and carbon cycle of tropical forests. Global Change Biology, 2019; 25: 3767– 3780. https://doi.org/10.1111/gcb.14769 Question: How much does integrating lianas into the ED2 influence the estimates of forest carbon cycle? The authors hypothesized that the impact of lianas on carbon uptake by forest would be larger in the secondary forests than in the old-growth forests since lianas showed high density in young forests.

11 January, 2020 (Piao, GCB, Phenology) Piao S, Liu Q, Chen A, et al. Plant phenology and global climate change: Current progresses and challenges. Global Change Biology, 2019;00:1–19. https://doi.org/10.1111/gcb.14619 Piao et al. (2019) reviewed the current understanding of leaf phenological processes. They suggested that four key factors are driving the phenological processes: 1) temperature, 2) photoperiod, 3) nutrient and water availability, and 4) interseasonal phenological correlations (i.e. the positive spring and autumn phenological intercorrelation).

18 December, 2019 (Fisher, NPH, JULES-ED) Fisher, R., McDowell, N., Purves, D., Moorcroft, P., Sitch, S., Cox, P., Huntingford, C., Meir, P. and Ian Woodward, F. (2010), Assessing uncertainties in a second‐generation dynamic vegetation model caused by ecological scale limitations. New Phytologist, 187: 666-681. doi:10.1111/j.1469-8137.2010.03340.x Question: How demographic processes of two-dimensional spatial scales influence simulations of community structure, and responses of ecosystems to climate change? Context:

17 December, 2019 (Smith-Martin, NPH, Liana) Smith‐Martin, C.M., Xu, X., Medvigy, D., Schnitzer, S.A. and Powers, J.S. (2019), Allometric scaling laws linking biomass and rooting depth vary across ontogeny and functional groups in tropical dry forest lianas and trees. New Phytologist. doi:10.1111/nph.16275 Question: Do mature lianas invest less biomass in stems compared to trees? The authors tried to compare the investment strategy between lianas and trees. Do juveniles follow the same allocation patterns as mature individuals?

7 December, 2019 (Bar, NPH, Fire) Bär, A., Michaletz, S.T. and Mayr, S. (2019), Fire effects on tree physiology. New Phytologist, 223: 1728-1741. doi:10.1111/nph.15871 My research group at NIFOS was invited to write a research paper for a special issue of a journal. We decided to write a paper about the lagged browning after the forest fire at April 2019. I wrote about how forest fire affects an individual tree’s physiology, referring majorly to this paper.

12 August, 2019 (Resco de Dios, AFM, FMC) Resco de Dios, V., Fellows, A.W., Nolan, R.H., Boer, M.M., Bradstock, R.A., Domingo, F. and Goulden, M.L. (2015). A semi-mechanistic model for predicting the moisture content of fine litter. Agricultural and Forest Meteorology, 203, 64-73. I read this paper to get some hints for my fuel moisture research at NIFOS. This paper developed a semi-mechanistic model in which fuel moisture content (FMC) and vapor pressure deficit (VPD) were exponentially related.

22 June, 2019 (Vinodkumar, AFM, SMC) Vinodkumar and Dharssi (2019). Evaluation and calibration of a high-resolution soil moisture product for wildfire prediction and management. Agricultural and Forest Meteorology, 264, 27-39. This paper can be a good guide for both of my researches at SNU and NIFOS. This paper used the JULES to predict soil moisture deficit (SMD), which is similar to the object of the study at SNU. On the other hand, the purpose of SMD prediction was to imporve a fire danger index, which is the same as my research at NIFOS.

15 June, 2019 (Berry, pce, FWU) Berry, Z.C., Emery, N.C., Gotsch, S.G., Goldsmith, G.R. (2019). Foliar water uptake: Processes, pathways, and integration into plant water budgets. Plant, Cell and Environment, 42, 410-423. As I saw foliar water uptake (FWU) in alert lists sometimes, I became curious about the process. So I read this paper. FWU was observed about 400 years ago (1727), but it seems like relatively new and immatured field.

8 June, 2019 (Hartmann, NPH, Mortality) Hartmann, H., Moura, C.F., Anderegg, W.R.L., Ruehr, N.K., Salmon, Y., Allen, C.D., Arndt, S.K., Breshears, D.D., Davi, H. and Galbraith, D. (2018). Research frontiers for improving our understanding of drought-induced tree and forest mortality. New Phytologist, 218(1), 15-28. This paper suggests some research frontiers (questions) about plant responses to drought. But, rather than the suggestions, I was interested in the topic of Box 1: definition of death for plants.

26 May, 2019 (Li, GCB, SIF) Li, X., Xiao, J., He, B., Altaf Arain, M., Beringer, J., Desai, A.R., Emmel, C., Hollinger, D.Y., Krasnova, A., Mammarella, I., Noe, S.M., Ortiz, P.S., Rey-Sanchez, A.C., Rocha, A.V. and Varlagin, A. (2018). Solar-induced chlorophyll fluorescence is strongly correlated with terrestrial photosynthesis for a wide variety of biomes: First global analysis based on OCO-2 and flux tower observations. Global Change Biology, 24(9), 3990-4008. This paper demonstrates that SIF is a strong proxy of terrestrial GPP using different point of view.

18 May, 2019 (Fisher, ANN, TBM) Fisher, J.B., Huntzinger, D.N., Schwalm, C.R. and Sitch, S. (2014). Modeling the terrestrial biosphere. Annual Review of Environment and Resources, 39, 91-123. This paper synthesized in what context the terrestrial biosphere model (TBM) appeared, which processes TBMs included, and what’s next. It was interesting that actually many part of the TBM was studied and developed separately around the world, and the development was accelerated after the parts were incorporated into a type of model.

11 May, 2019 (Zhang, JGRBG, CLM4.5) Zhang, L., Lei, H., Shen, H., Cong, Z., Yang, D. and Liu, T. (2019). Evaluating the representation of vegetation phenology in the Community Land model 4.5 in a temperate grassland. Journal of Geophysical Research: Biogeosciences 124. This was a key paper for the first revision of my paper. This paper had its focus on improving phenology module in CLM 4.5 by comparing MODIS LAI. Two problem were issued and resolved.

5 May, 2019 (Xu, NPH, ED-Hydro) Xu, X., Medvigy, D., Powers, J.S., Becknell, J.M. and Guan, K. (2016). Diversity in plant hydraulic traits explains seasonal and inter‐annual variations of vegetation dynamics in seasonally dry tropical forests. New Phytologist 212(1), 80-95. This paper incoporated hydraulic module into the ED2. This module accounted for hydraulic traits such as tugor loss point (TLP), saturated xylem conductivity, 50% xylem conductivity loss water potential, and area-based A~net~ under sufficient water supply.