Temporal changes in the relationship between tree-ring growth and net primary production in northern Japan: a novel approach to the estimation of seasonal photosynthate allocation to the stem

2018 ◽  
Vol 33 (6) ◽  
pp. 1275-1287
Author(s):  
Dai Koide ◽  
Akihiko Ito
Keyword(s):  
Primary Production ◽  
Tree Ring ◽  
Net Primary Production ◽  
Temporal Changes ◽  
Novel Approach ◽  
Photosynthate Allocation ◽  
The Relationship ◽  
Northern Japan

scholarly journals Comparing tree-ring and permanent plot estimates of aboveground net primary production in three eastern U.S. forests

Ecosphere ◽  
2016 ◽  
Vol 7 (9) ◽  
pp. e01454 ◽  
Author(s):  
Alex Dye ◽  
Audrey Barker Plotkin ◽  
Daniel Bishop ◽  
Neil Pederson ◽  
Benjamin Poulter ◽  
...  
Keyword(s):  
Primary Production ◽  
Tree Ring ◽  
Net Primary Production ◽  
Permanent Plot ◽  
Aboveground Net Primary Production

scholarly journals Temperature Affects the Time Required to Discern the Relationship between Primary Production and Export Production in the Ocean

Water ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 3085
Author(s):  
Edward Laws ◽  
Kanchan Maiti
Keyword(s):  
Primary Production ◽  
Food Web ◽  
Net Primary Production ◽  
Weighted Average ◽  
Time Interval ◽  
High Latitudes ◽  
New Production ◽  
Return To Equilibrium ◽  
Export Production ◽  
The Relationship

Knowledge of the relationship between net primary production (NPP) and export production (EP) in the ocean is required to estimate how the ocean’s biological pump is likely to respond to climate change effects. Here, we show with a theoretical food web model that the relationship between NPP and EP is obscured by the following phenomena: (1) food web dynamics, which cause EP to be a weighted average of new production (NP) over a previous temperature-dependent time interval that can vary between several weeks at 25 °C to several months at 0 °C and, hence, to be much less temporally variable than NP and (2) the temperature dependence of the resiliency of the food web to perturbations, which causes the return to equilibrium to vary from roughly 50 days at 0 °C to 5–10 days at 25 °C. The implication is that the relationship between NPP and EP can be discerned at tropical and subtropical latitudes if measurements of NPP and EP are averages or climatologies over a timeframe of roughly one month. At high latitudes, however, measurements may need to be averaged over a timeframe of roughly one year because the food webs at high latitudes are very likely far from equilibrium with respect to NPP and EP much of the time, and the model can describe only the average behavior of such physically dynamic systems.

Bacterial abundance and production, and their relation to primary production in tropical coastal waters of Peninsular Malaysia

2008 ◽  
Vol 59 (1) ◽  
pp. 10 ◽  
Author(s):  
Choon Weng Lee ◽  
Chui Wei Bong
Keyword(s):  
Primary Production ◽  
Chlorophyll A ◽  
Coastal Waters ◽  
Bacterial Production ◽  
Bacterial Abundance ◽  
Net Primary Production ◽  
Correlation Coefficients ◽  
Peninsular Malaysia ◽  
Chl A ◽  
The Relationship

In the present study, the relationship between bacteria and phytoplankton in tropical coastal waters was investigated. The bacterial abundance, bacterial production, chlorophyll a concentration and net primary production were measured at several locations in the coastal waters of Peninsular Malaysia. Chlorophyll a concentration ranged from 0.40 to 32.81 μg L–1, whereas bacterial abundance ranged from 0.1 to 97.5 × 106 cells mL–1. Net primary production ranged from 8.49 to 55.95 μg C L–1 h–1, whereas bacterial production ranged from 0.17 to 70.66 μg C L–1 h–1. In the present study, the carbon conversion factor used to convert bacterial production (cells mL–1 h–1) into carbon units ranged from 10 to 32.8 fg C cell–1, and was estimated from the bacterial size distribution measured at each location. Both phototrophic and heterotrophic biomass (bacteria–chlorophyll a) and activity (bacterial production–net primary production) were significantly correlated, although their correlation coefficients (r2) were relatively low (r2 = 0.188 and r2 = 0.218 respectively). Linear regression analyses provided the following equations to represent the relationship between: bacteria and chlorophyll a (Chl a), log Bacteria = 0.413 log Chl a + 6.057 (P = 0.003); and between bacterial production (BP) and net primary production (NPP), log BP = 0.896 log NPP – 0.394 (P = 0.004), which fitted with published results well. Comparison of annual carbon fluxes confirmed the prevalence of net heterotrophy in these coastal waters, and together with the low correlation coefficients, suggested the role of allochthonous organic matter in supporting heterotrophic activity.

scholarly journals Net primary production of Chinese fir plantation ecosystems and its relationship to climate

2014 ◽  
Vol 11 (4) ◽  
pp. 5639-5667 ◽  
Author(s):  
L. Wang ◽  
B. Duan ◽  
Y. Zhang ◽  
F. Berninger
Keyword(s):  
Climate Change ◽  
Primary Production ◽  
Net Primary Production ◽  
Regional Scale ◽  
Chinese Fir ◽  
Distribution Area ◽  
Natural Forests ◽  
Sequestration Potential ◽  
The Impact ◽  
The Relationship

Abstract. This article focuses on the relationship between the net primary production (NPP) of Chinese fir and the climate. Spatial-temporal NPP pattern in the potential distribution area of Chinese fir from 2000 to 2010 was characterized utilizing the Moderate Resolution Imaging Spectroradiometer (MODIS) data in a Geographic Information Systems (GIS) environment. The results showed that the production of Chinese fir was higher in southern and eastern regions than in northern and western areas, which was consistent with the spatial pattern of temperature and precipitation. The relationship between NPP of Chinese fir and climate variables was analyzed comprehensively on three scales: regional scale, zonal gradients and pixel scale. On the regional scale, precipitation showed higher correlation coefficients with NPP than did temperature. When scaling to pixels, the spatial variability pattern indicated that temperature was more important in central and eastern regions, while precipitation was crucial in the northern part. Negative correlations between NPP and precipitation and temperature were found in the southern region. The zonal analysis revealed that the impact of precipitation on the production was more complicated than that of temperature. When compared to natural forests, plantations appear to be more sensitive to the mode of precipitation, which indicates their higher vulnerability under climate change which could potentially lead to increasing variability in rainfall. Temporally, NPP values decreased despite of increasing temperatures, and more in plantations than among other vegetation types, which draws attention to carbon sequestration potential by plantations under current climate change.

Estimating net primary production and annual plant carbon inputs, and modelling future changes in soil carbon stocks in arable farmlands of northern Japan

2011 ◽  
Vol 144 (1) ◽  
pp. 51-60 ◽  
Author(s):  
Nobuhisa Koga ◽  
Pete Smith ◽  
Jagadeesh B. Yeluripati ◽  
Yasuhito Shirato ◽  
Sonoko D. Kimura ◽  
...  
Keyword(s):  
Primary Production ◽  
Soil Carbon ◽  
Net Primary Production ◽  
Carbon Stocks ◽  
Annual Plant ◽  
Soil Carbon Stocks ◽  
Northern Japan

scholarly journals MERIS GPP/NPP product for Estonia: I. Algorithm and preliminary results of simulation / MERIS’e GPP/NPP tulem Eesti jaoks: I. Algoritm ja mudelarvutuste esialgsed tulemused

2012 ◽  
Vol 56 (1) ◽  
pp. 56-78
Author(s):  
Tiit Nilson ◽  
Mattias Rennel ◽  
Andres Luhamaa ◽  
Maris Hordo ◽  
Aire Olesk ◽  
...  
Keyword(s):  
Primary Production ◽  
Tree Ring ◽  
Net Primary Production ◽  
Gross Primary Production ◽  
Weather Prediction ◽  
Type Model ◽  
Limited Area ◽  
Area Index ◽  
Tree Ring Data ◽  
Resolution Imaging

Abstract. A light use efficiency (LUE) type model named EST_PP to simulate the yearly gross primary production (GPP) and net primary production (NPP) of Estonian land on a 1 km2 grid is described. The model is based on MERIS (MEdium Resolution Imaging Spectrometer) satellite images to describe the fraction of photosynthetically active radiation (fAPAR) and leaf area index (LAI) as well as meteorological reanalysis datasets on 11 km2 grid produced by Estonian Meteorological Institute (EMHI) and Tartu University (TU) by means of the HIRLAM (High Resolution Limited Area Model) numerical weather prediction model. The land cover map of Estonia needed for the model was derived using DMCii (Disaster Monitoring Constellation International Imaging) SLIM-6-22 (Surrey Linear Imager - 6 channel - 22 m resolution) images and ancillary information. The EST_PP model was run for the period from years 2003 to 2011. The results of GPP and NPP simulation are compared with the available global MODIS (Moderate Resolution Imaging Spectroradiometer) GPP/NPP product and with the Estonian statistical data on yearly volume increment in forests and on yield of agricultural crops. The NPP simulation results on coniferous and deciduous forests are compared with the data from tree ring analyses from different counties. These comparisons show us that the simulated country average yearly NPP values for Estonian forests agree reasonably well with the indirect estimates from other sources, taking into account the rather high uncertainty of the model predictions, uncertainty of forest inventory-based estimates and limited representativity of existing tree ring data. However, problems arise with the ability of present versions of EST_PP and MODIS NPP models to adequately simulate the regional differences of productivity and of variability of productivity in different years. The model needs some modification and the basic LUE principles to be tested in Estonia. Nevertheless, the MODIS NPP and EST_PP models offer additional possibilities to map yearly productivity and carbon sequestration by Estonian vegetation. There is a perspective to add the model-simulated NPP values into the national inventory datasets.

scholarly journals From Miami to Madison: Investigating the relationship between climate and terrestrial net primary production

2007 ◽  
Vol 21 (3) ◽  
pp. n/a-n/a ◽  
Author(s):  
David P. M. Zaks ◽  
Navin Ramankutty ◽  
Carol C. Barford ◽  
Jonathan A. Foley
Keyword(s):  
Primary Production ◽  
Net Primary Production ◽  
The Relationship

scholarly journals Net primary production of Chinese fir plantation ecosystems and its relationship to climate

2014 ◽  
Vol 11 (19) ◽  
pp. 5595-5606 ◽  
Author(s):  
L. Wang ◽  
Y. Zhang ◽  
F. Berninger ◽  
B. Duan
Keyword(s):  
Primary Production ◽  
Net Primary Production ◽  
Regional Scale ◽  
Chinese Fir ◽  
Distribution Area ◽  
Natural Forests ◽  
Fujian Province ◽  
Study Region ◽  
The Impact ◽  
The Relationship

Abstract. This article investigates the relationship between net primary production (NPP) of Chinese fir, temperature and precipitation. The spatial–temporal NPP pattern in the potential distribution area of Chinese fir from 2000–2010 was estimated utilizing a MODIS MOD17 product in a geographic information system (GIS) environment. The results showed that the highest NPP value of Chinese fir is in the Fujian province in the eastern part of the study region. The relationship between NPP of Chinese fir and climate variables was analyzed spatially and temporally. On the regional scale, precipitation showed higher correlation coefficients with NPP than did temperature. The spatial variability pattern indicated that temperature was more important in central and eastern regions (e.g. Hunan and Fujian province), while precipitation was crucial in the northern part (e.g. Anhui province). Zonal analysis revealed that the impact of precipitation on the production was more complicate than that of temperature; larger amount of precipitation is not always corresponding with greater NPP value. When compared to natural forests, plantations appear to be more sensitive to the variability of precipitation, which indicates their higher vulnerability under climate change. Temporally, NPP values decreased despite of increasing temperatures, and the decrease was larger in plantations than among other vegetation types.

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