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

Abstract

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.

Examining forest net primary productivity dynamics and driving forces in northeastern China during 1982–2010

“…The algorithm of actual light use efficiency (ε) can be expressed by Equation 6 (Field et al, 1995;Zhou and Zhang, 1995;Peng et al, 2010):…”

Usefulness of MODIS data for assessment of the growth and development of winter oilseed rape

“…This kind of measurement results were applied among others in the assessment of productivity of rainforests in the western part of the Amazon (Viña, 2012), monitoring of the growth and development dynamics of forests in north-eastern Australia (Bhandari et al, 2011), the extent of desertification in Kenya (He et al, 2013), and changes in net primary production in south-eastern China (Peng et al, 2010). In relation to cultivated plants, data provided by a moderate resolution imaging spectroradiometer (MODIS) were used among others in the estimation of wheat yield in south Italy (Maselli et al, 2011), potato yield in the Munshiganj area in Bangladesh (Bala, Islam, 2009), corn yield in Indiana State in the USA (Fang et al, 2010), and monitoring of soybean cultivation in south Brazil (Rizzi et al, 2006), as well as rice in south China (Xiao et al, 2005).…”

Assessment Impacts of Weather and Land Use/Land Cover (LULC) Change on Urban Vegetation Net Primary Productivity (NPP): A Case Study in Guangzhou, China

“…The balance between the uptake and release of carbon plays a vital role in global biogeochemical carbon. NPP reflects not only the carbon sequestration ability of a plant community in its natural environment but also the vegetation's response to changes in climate and LULC [16][17][18][19]. Climate changes of long time or inter-annual weather variations can influence vegetation photosynthesis, respiration and decomposition of soil organic carbon (SOC) and have important effects on ecosystem productivity [20][21][22].…”