The role of climate variability in the inter-annual variation of terrestrial net primary production (NPP)

Mohamed, Musbah; Babiker, Insaf S.; Chen, Z.M.; Ikeda, Keiichi; Ohta, Keiichi; Kato, Kikou

doi:10.1016/j.scitotenv.2004.03.009

Cited by 87 publications

(61 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Firstly, Mohamed et al (2004) studied the role of climate variability in the inter-annual variation of NPP. Annual NPP is the summation of seasonal NPP, and the response of annual NPP to climate change is also the cumulative effect of seasonal climate change.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, the relative variation in air temperature and precipitation determines the seasonal fluctuation of NPP, and sunshine percentage variability is inversely correlated to the variability of NPP. The negative and positive correlations with air temperature, precipitation and sunshine percentage reflect the impacts from increase and decrease of water loss on vegetation production (Mohamed et al, 2004).…”

Section: Correlation Between Seasonal Variation Of Npp and Climate Vamentioning

confidence: 96%

“…Lagged cross-correlation analysis incorporates both immediate physiological alterations and delayed biogeochemical adjustments of vegetation because of variable climates (Mohamed et al, 2004;Steele et al, 2005;Peng et al, 2007a). The response of NPP to climate change is not instantaneous and has important delayed and continuous effects.…”

Section: Regression and Lagged Cross-correlation Analysismentioning

confidence: 99%

“…Climate impact on NPP is not only related to climatic variables, but also to different temporal dimensions (Steele et al, 2005;Peng et al, 2008). NPP interannual fluctuations of different magnitudes exist because of global climate anomalies (Maisongrande et al, 1995;Kindermann et al, 1996;Malmström et al, 1997;Mohamed et al, 2004). In short time scales, climate variables such as air temperature, precipitation and sunshine hours directly affect the physiological processes, including stomatal conductance, plant photosynthesis and respiration (Field et al, 1995).…”

mentioning

confidence: 99%

See 3 more Smart Citations

Spatial and seasonal characterization of net primary productivity and climate variables in southeastern China using MODIS data

Peng

Huang

Huete

et al. 2010

J. Zhejiang Univ. Sci. B

View full text Add to dashboard Cite

Abstract:We developed a sophisticated method to depict the spatial and seasonal characterization of net primary productivity (NPP) and climate variables. The role of climate variability in the seasonal variation of NPP exerts delayed and continuous effects. This study expands on this by mapping the seasonal characterization of NPP and climate variables from space using geographic information system (GIS) technology at the pixel level. Our approach was developed in southeastern China using moderate-resolution imaging spectroradiometer (MODIS) data. The results showed that air temperature, precipitation and sunshine percentage contributed significantly to seasonal variation of NPP. In the northern portion of the study area, a significant positive 32-d lagged correlation was observed between seasonal variation of NPP and climate (P<0.01), and the influences of changing climate on NPP lasted for 48 d or 64 d. In central southeastern China, NPP showed 16-d, 48-d, and 96-d lagged correlation with air temperature, precipitation, and sunshine percentage, respectively (P<0.01); the influences of air temperature and precipitation on NPP lasted for 48 d or 64 d, while sunshine influence on NPP only persisted for 16 d. Due to complex topography and vegetation distribution in the southern part of the study region, the spatial patterns of vegetation-climate relationship became complicated and diversiform, especially for precipitation influences on NPP. In the northern part of the study area, all vegetation NPP had an almost similar response to seasonal variation of air temperature except for broad crops. The impacts of seasonal variation of precipitation and sunshine on broad and cereal crop NPP were slightly different from other vegetation NPP.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Correlation Between Seasonal Variation Of Npp and Climate Vamentioning

confidence: 96%

Section: Regression and Lagged Cross-correlation Analysismentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Spatial and seasonal characterization of net primary productivity and climate variables in southeastern China using MODIS data

Peng

Huang

Huete

et al. 2010

J. Zhejiang Univ. Sci. B

View full text Add to dashboard Cite

show abstract

“…Wu et al (2011) found that experimentally reduced precipitation suppressed above-ground NPP across ecosystems, while increased precipitation stimulated plant growth. In a similar study, Mohamed et al (2004) reported large NPP reduction in tropical biomes primarily due to greater impacts of drought and weaker physiological adjustment to precipitation variability. Such drought events induced by precipitation deficit and extreme heat have resulted in a net reduction in terrestrial primary production by 30% across Europe (Ciais et al, 2005).…”

Section: Contemporary Patterns Of Global Terrestrial Nppmentioning

confidence: 83%

Impacts of climate variability and extremes on global net primary production in the first decade of the 21st century

et al. 2015

View full text Add to dashboard Cite

A wide variety of studies have estimated the magnitude of global terrestrial net primary production (NPP), but its variations, both spatially and temporally, still remain uncertain. By using an improved process-based terrestrial ecosystem model (DLEM, Dynamic Land Ecosystem Model), we provide an estimate of global terrestrial NPP induced by multiple environmental factors and examine the response of terrestrial NPP to climate variability at biome and global levels and along latitudes throughout the first decade of the 21st century. The model simulation estimates an average global terrestrial NPP of 54.6 Pg C yr -1 during 2000-2009, varying from 52.8 Pg C yr -1 in the dry year of 2002 to 56.4 Pg C yr -1 in the wet year of 2008. In wet years, a large increase in terrestrial NPP compared to the decadal mean was prevalent in Amazonia, Africa and Australia. In dry years, however, we found a 3.2% reduction in global terrestrial NPP compared to the decadal mean, primarily due to limited moisture supply in tropical regions. At a global level, precipitation explained approximately 63% of the variation in terrestrial NPP, while the rest was attributed to changes in temperature and other environmental factors. Precipitation was the major factor determining inter-annual variation in terrestrial NPP in low-latitude regions. However, in mid-and high-latitude regions, temperature variability largely controlled the magnitude of terrestrial NPP. Our results imply that projected climate warming and increasing climate extreme events would alter the magnitude and spatiotemporal patterns of global terrestrial NPP.

show abstract

Spatial and temporal variations in ecosystem response to monsoon precipitation variability in southwestern North America

et al. 2014

View full text Add to dashboard Cite

Due to its marked vegetation phenology and precipitation gradients, the North American Monsoon Region (NAMR) is a useful domain for studying ecosystem responses to climate variability and change. To this end, we analyze long-term dynamics in monsoon precipitation (Pr), time-integrated Normalized Difference Vegetation Index (TINDVI) used as proxy of net primary productivity, and rain-use efficiency (RUE). The analysis focuses on six ecoregions, spanning from desert environments to tropical dry forests, to investigate (1) how net primary productivity and rain-use efficiency vary along a precipitation gradient, (2) if interannual variability in net primary productivity is linked to the interannual variability in precipitation, and (3) if there is evidence of a long-term signal imposed on the interannual variability in rain-use efficiency. Variations in TINDVI and RUE with Pr along the NAMR precipitation gradient differ among ecoregions exhibiting intensive or extensive water use strategies. We explain the nonlinear behaviors along the precipitation gradient as resulting from different physiological responses to climatological means and the impact of topographic effects. Statistical analysis indicates that the interannual variability in vegetation response is significantly related to the interannual variability in Pr, but their correlation declines with time. A long-term positive signal in RUE imposed on its interannual variability is identified and results from a constant TINDVI under negative long-term trends of Pr. This important finding suggests the combined long-term effects of ecosystem acclimation to reduced water availability and increasing CO 2 concentration across the varied ecosystems of the North American Monsoon Region.

show abstract

The role of climate variability in the inter-annual variation of terrestrial net primary production (NPP)

Cited by 87 publications

References 44 publications

Spatial and seasonal characterization of net primary productivity and climate variables in southeastern China using MODIS data

Spatial and seasonal characterization of net primary productivity and climate variables in southeastern China using MODIS data

Impacts of climate variability and extremes on global net primary production in the first decade of the 21st century

Spatial and temporal variations in ecosystem response to monsoon precipitation variability in southwestern North America

Contact Info

Product

Resources

About