scholarly journals Studying the Influence of Nitrogen Deposition, Precipitation, Temperature, and Sunshine in Remotely Sensed Gross Primary Production Response in Switzerland

2019 ◽  
Vol 11 (9) ◽  
pp. 1135 ◽  
Author(s):  
Marta Gómez Giménez ◽  
Rogier de Jong ◽  
Armin Keller ◽  
Beat Rihm ◽  
Michael E. Schaepman
Keyword(s):  
Species Richness ◽  
Land Cover ◽  
Primary Production ◽  
Management Practices ◽  
Gross Primary Production ◽  
N Deposition ◽  
Natural Vegetation ◽  
Alpine Grasslands ◽  
High Species Richness ◽  
Vegetation Mosaic

Climate, soil type, and management practices have been reported as primary limiting factors of gross primary production (GPP). However, the extent to which these factors predict GPP response varies according to scales and land cover classes. Nitrogen (N) deposition has been highlighted as an important driver of primary production in N-limited ecosystems that also have an impact on biodiversity in alpine grasslands. However, the effect of N deposition on GPP response in alpine grasslands hasn’t been studied much at a large scale. These remote areas are characterized by complex topography and extensive management practices with high species richness. Remotely sensed GPP products, weather datasets, and available N deposition maps bring along the opportunity of analyzing how those factors predict GPP in alpine grasslands and compare these results with those obtained in other land cover classes with intensive and mixed management practices. This study aims at (i) analyzing the impact of N deposition and climatic variables (precipitation, sunshine, and temperature) on carbon (C) fixation response in alpine grasslands and (ii) comparing the results obtained in alpine grasslands with those from other land cover classes with different management practices. We stratified the analysis using three land cover classes: Grasslands, croplands, and croplands/natural vegetation mosaic and built multiple linear regression models. In addition, we analyzed the soil characteristics, such as aptitude for croplands, stone content, and water and nutrient storage capacity for each class to interpret the results. In alpine grasslands, explanatory variables explained up to 80% of the GPP response. However, the explanatory performance of the covariates decreased to maximums of 47% in croplands and 19% in croplands/natural vegetation mosaic. Further information will improve our understanding of how N deposition affects GPP response in ecosystems with high and mixed intensity of use management practices, and high species richness. Nevertheless, this study helps to characterize large patterns of GPP response in regions affected by local climatic conditions and different land management patterns. Finally, we highlight the importance of including N deposition in C budget models, while accounting for N dynamics.

scholarly journals Effects of N and P fertilization on the greenhouse gas exchange in two nutrient-poor peatlands

2009 ◽  
Vol 6 (3) ◽  
pp. 4803-4828 ◽  
Author(s):  
M. Lund ◽  
T. R. Christensen ◽  
M. Mastepanov ◽  
A. Lindroth ◽  
L. Ström
Keyword(s):  
Gas Exchange ◽  
Primary Production ◽  
Greenhouse Gas ◽  
Nutrient Availability ◽  
Gross Primary Production ◽  
N Deposition ◽  
N2o Emissions ◽  
N Availability ◽  
P Fertilization ◽  
Organic C

Abstract. Peatlands are important ecosystems in the context of biospheric feedback to climate change, due to the large storage of organic C in peatland soils. Nitrogen deposition and increased nutrient availability in soils following climate warming may cause changes in these ecosystems affecting greenhouse gas exchange. We have conducted an N and P fertilization experiment in two Swedish bogs subjected to high and low background N deposition, and measured the exchange of CO2, CH4 and N2O using the closed chamber technique. During the second year of fertilization, both gross primary production and ecosystem respiration were significantly increased by N addition in the northernmost site where background N deposition is low, while gross primary production was stimulated by P addition in the southern high N deposition site. In addition, a short-term response in respiration was seen following fertilization, probably associated with rapid growth of nutrient-limited soil microorganisms. No treatment effect was seen on the CH4 exchange, while N2O emissions peaks were detected in N fertilized plots indicating the importance of taking N2O into consideration under increased N availability. In a longer term, increased nutrient availability will cause changes in plant competitive patterns. The related effect on the future net greenhouse gas exchange is likely dependent on the mixture of nutrients being made available and which plant functional types that benefit from it, in combination with other changes related to global warming.

scholarly journals Correction: Evaluating the role of land cover and climate uncertainties in computing gross primary production in Hawaiian Island ecosystems

PLoS ONE ◽  
2018 ◽  
Vol 13 (1) ◽  
pp. e0192041 ◽  
Author(s):  
Heather L. Kimball ◽  
Paul C. Selmants ◽  
Alvaro Moreno ◽  
Steve W. Running ◽  
Christian P. Giardina
Keyword(s):  
Land Cover ◽  
Primary Production ◽  
Gross Primary Production ◽  
Hawaiian Island ◽  
Island Ecosystems

Changes in root zone storage capacity and their effects on river discharge and gross primary production

2020 ◽  
Author(s):  
Rodolfo Nóbrega ◽  
David Sandoval ◽  
Colin Prentice
Keyword(s):  
Land Cover ◽  
Primary Production ◽  
Mass Balance ◽  
Land Cover Change ◽  
Storage Capacity ◽  
Root Zone ◽  
Gross Primary Production ◽  
Terrestrial Ecosystem ◽  
Ecosystem Models ◽  
Stress Functions

<p>Root zone storage capacity (R<sub>z</sub>) is a parameter widely used in terrestrial ecosystem models that estimate the amount of soil moisture available for transpiration. However, R<sub>z</sub> is subject to large uncertainty, due to the lack of data on the distribution of soil properties and the depth of plant roots that actively take up water. Our study makes use of a mass-balance approach to investigate R<sub>z</sub> in different ecosystems, and changes in water fluxes caused by land-cover change. The method needs no land-cover or soil information, and uses precipitation (P) and evapotranspiration (ET) time series to estimate the seasonal water deficit. To account for some of the uncertainty in ET, we use different methods for ET estimation, including methods based on satellite estimates, and modelling approaches that back-calculate ET from other ecosystem fluxes. We show that reduced ET due to land-cover change reduces R<sub>z</sub>, which in turn increases baseflow in regions with a strong rainfall seasonality. This finding allows us to analyse the trade-off between gross primary production and hydrological fluxes at river basin scales. We also consider some ideas on how to use mass-balance R<sub>z</sub> in water-stress functions as incorporated in existing terrestrial ecosystem models.</p>

scholarly journals Assessing the ability of MODIS EVI to estimate terrestrial ecosystem gross primary production of multiple land cover types

2017 ◽  
Vol 72 ◽  
pp. 153-164 ◽  
Author(s):  
Hao Shi ◽  
Longhui Li ◽  
Derek Eamus ◽  
Alfredo Huete ◽  
James Cleverly ◽  
...  
Keyword(s):  
Land Cover ◽  
Primary Production ◽  
Gross Primary Production ◽  
Terrestrial Ecosystem ◽  
Land Cover Types ◽  
Modis Evi

scholarly journals Evaluating the role of land cover and climate uncertainties in computing gross primary production in Hawaiian Island ecosystems

PLoS ONE ◽  
2017 ◽  
Vol 12 (9) ◽  
pp. e0184466 ◽  
Author(s):  
Heather L. Kimball ◽  
Paul C. Selmants ◽  
Alvaro Moreno ◽  
Steve W. Running ◽  
Christian P. Giardina
Keyword(s):  
Land Cover ◽  
Primary Production ◽  
Gross Primary Production ◽  
Hawaiian Island ◽  
Island Ecosystems

scholarly journals Large-scale estimation and uncertainty analysis of gross primary production in Tibetan alpine grasslands

2014 ◽  
Vol 119 (3) ◽  
pp. 466-486 ◽  
Author(s):  
Honglin He ◽  
Min Liu ◽  
Xiangming Xiao ◽  
Xiaoli Ren ◽  
Li Zhang ◽  
...  
Keyword(s):  
Primary Production ◽  
Uncertainty Analysis ◽  
Large Scale ◽  
Gross Primary Production ◽  
Alpine Grasslands ◽  
Scale Estimation

scholarly journals Field-based observations of regional-scale, temporal variation in net primary production in Tibetan alpine grasslands

2013 ◽  
Vol 10 (10) ◽  
pp. 16843-16878 ◽  
Author(s):  
Y. Shi ◽  
Y. Wang ◽  
Y. Ma ◽  
W. Ma ◽  
C. Liang ◽  
...  
Keyword(s):  
Species Richness ◽  
Primary Production ◽  
Temporal Variation ◽  
Net Primary Production ◽  
Regional Scale ◽  
Fundamental Property ◽  
Extreme Environment ◽  
Natural Ecosystems ◽  
Alpine Grasslands ◽  
Climatic Fluctuations

Abstract. Net primary production (NPP) is a fundamental property of natural ecosystems. Temporal variation of NPP not only reflects how communities respond to environmental fluctuations, but it also has important implications for regional carbon assessment. Unfortunately, studies based on field measurements to directly address this issue in the extreme environment of alpine grasslands are rare. In this study, we measured aboveground NPP (ANPP) and species richness in 40 sites across the Tibetan alpine grasslands from 2006 to 2009 to investigate the regional pattern of temporal variation in ANPP and to quantify the effects of climate fluctuation and biodiversity on this variation. The results showed that, during the four-year period, the average ANPP varied 1.5-fold, from 83.9 to 125.7 g m–2, with a mean coefficient of variation of temporal variation of 36.6% across the 40 sites. Due to the regionally similar climatic fluctuations caused by South Asian monsoons, aboveground NPP exhibited synchronous temporal variation and consistent spatial patterns over the four-year period. Moreover, rainfall fluctuation had a more profound effect on the ANPP dynamics than temperature variation, which suggests that production in the Tibetan alpine grasslands is primarily driven by precipitation. Therefore, the Tibetan alpine grasslands are mainly constrained by water availability. Finally, we found that species richness negatively correlates with variation in aboveground NPP, which might provide evidence that diversity can stabilize community production in high-altitude grasslands.

Land cover change-induced decline in terrestrial gross primary production over the conterminous United States from 2001 to 2016

2021 ◽  
Vol 308-309 ◽  
pp. 108609
Author(s):  
Yulong Zhang ◽  
Conghe Song ◽  
Taehee Hwang ◽  
Kimberly Novick ◽  
John W. Coulston ◽  
...  
Keyword(s):  
United States ◽  
Land Cover ◽  
Primary Production ◽  
Land Cover Change ◽  
Gross Primary Production

scholarly journals ESTIMATION OF GROSS PRIMARY PRODUCTION USING SATELLITE DATA AND GIS IN URBAN AREA, DENPASAR

2011 ◽  
Vol 7 (1) ◽  
Author(s):  
A.R. As-syakur ◽  
T. Osawa ◽  
IW.S. Adnyana
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Primary Production ◽  
Spatial Resolution ◽  
Satellite Data ◽  
High Spatial Resolution ◽  
Gross Primary Production ◽  
Remote Sensing Data ◽  
Sensing Data

Remote sensing data with high spatial resolution is very useful to provideinformation about Gross Primary Production (GPP) especially over spatial coverage in theurban area. Most models of ecosystem carbon exchange based on remote sensing data usedlight use efficiency (LUE) model. The aim of this research was to analyze the distributionof annual GPP urban area of Denpasar. Two main satellite data used in this study wereALOS/AVNIR-2 and Aster satellite data. Result showed that annual value of GPP usingALOS/AVNIR-2 varied from 0.130 gC m-2 yr-1 to 2586.181 gC m-2 yr-1. Meanwhile, usingAster the value varied from 0.144 gC m-2 yr-1 to 2595.264 gC m-2 yr-1. The annual value ofGPP ALOS was lower than the value of Aster, because ALOS have high spatial resolutionand smaller interval of spectral resolution compared to Aster. Different land use couldeffect the value of GPP, because the different land use has different vegetation type,distribution, and different photosynthetic pathway type. The high spatial resolution of theremote sensing data is crucial to discriminate different land cover types in urban region.With heterogeneous land cover surface, maximum value of GPP using ALOS/AVNIR-2was smaller than that of Aster, however, the annual mean of GPP value usingALOS/AVNIR-2 was higher than that of Aster.

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