Assessing the impact of land conversion and management measures on the net primary productivity in the Bailong River Basin, in China

CATENA ◽  
2021 ◽  
Vol 207 ◽  
pp. 105672
Author(s):  
Yanyan Zhou ◽  
Dongxia Yue ◽  
Jianjun Guo ◽  
Zengzu Chao ◽  
Xingmin Meng
Keyword(s):  
River Basin ◽  
Primary Productivity ◽  
Net Primary Productivity ◽  
Land Conversion ◽  
Management Measures ◽  
The Impact ◽  
Bailong River Basin

scholarly journals Spatiotemporal evolution of vegetative net primary productivity and its influencing factors in China's Yellow River Basin

2021 ◽  
Author(s):  
Jiangsu Li ◽  
Hongmei Cao ◽  
Weihua Li ◽  
Xiaoluan Shi ◽  
yeqing han ◽  
...  
Keyword(s):  
Influencing Factors ◽  
River Basin ◽  
Primary Productivity ◽  
Human Activities ◽  
Net Primary Productivity ◽  
Yellow River ◽  
Yellow River Basin ◽  
Spatiotemporal Pattern ◽  
Forest Protection ◽  
The Impact

Ecosystem vulnerability in the Yellow River Basin (YRB) is a prominent concern. Exploration vegetative net primary productivity (NPP) serve as an important aspect of assessing and protecting ecosystem health. We used a range of spatial analysis techniques, residual trend analysis, and the cutting-edge computing-intensive variable importance decomposition method to explore spatiotemporal changes and influencing factors for vegetative NPP in the YRB from 2000–2015. The results found that NPP showed a fluctuating growth trend over time, ranging from 165.9–227.7 gC∙m-2∙a-1, as well as a clear negative south-north spatial gradient. Significant spatial agglomeration pattern was observed, with Low-Low and High-High clusters being the dominated area classifications at both scales of grid cells, counties and cities in the study area. Foremost, we found that NPP was statistically significantly affected by both natural factors, including climate and topography, and human activities, whilst precipitation accounts for the most important factor, explaining roughly 42% of the variability in NPP on average. Although the impact of human activities on NPP was relatively low, human activities tended to promote NPP on average, mainly due to the implementation of the ecological restoration project in the region, such as the Forest Protection and Grain for Green Project. Overall, this study provides an improved technical framework for a comprehensive analysis of spatiotemporal pattern of vegetative NPP and its influencing factors at multiple-spatial scales.

scholarly journals The influence of Carboniferous palaeoatmospheres on plant function: an experimental and modelling assessment

1998 ◽  
Vol 353 (1365) ◽  
pp. 131-140 ◽  
Author(s):  
D. J. Beerling ◽  
F. I. Woodward ◽  
M. R. Lomas ◽  
M. A. Wills ◽  
W. P. Quick ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Soil Carbon ◽  
Primary Productivity ◽  
Net Primary Productivity ◽  
Global Scale ◽  
Carbon Accumulation ◽  
Late Carboniferous ◽  
Atmospheric Composition ◽  
Area Index ◽  
The Impact

Geochemical models of atmospheric evolution predict that during the late Carboniferous, ca . 300 Ma, atmospheric oxygen and carbon dioxide concentrations were 35% and 0.03%, respectively. Both gases compete with each other for ribulose–1,5–bisphosphate carboxylase/oxygenase–the primary C–fixing enzyme in C 3 land plants: and the absolute concentrations and the ratio of the two in the atmosphere have the potential to strongly influence land–plant function. The Carboniferous therefore represents an era of potentially strong feedback between atmospheric composition and plant function. We assessed some implications of this ratio of atmospheric gases on plant function using experimental and modelling approaches. After six weeks growth at 35% O 2 and 0.03% carbon dioxide, no photosynthetic acclimation was observed in the woody species Betula pubescens and Hedera helix relative to those plants grown at 21% O 2 . Leaf photosynthetic rates were 29% lower in the high O 2 environment compared to the controls. A global–scale analysis of the impact of the late Carboniferous climate and atmospheric composition on vegetation function was determined by driving a process–based vegetation–biogeochemistry model with a Carboniferous global palaeoclimate simulated by the Universities Global Atmospheric Modelling Programme General Circulation Model. Global patterns of net primary productivity, leaf area index and soil carbon concentration for the equilibrium model solutions showed generally low values everywhere, compared with the present day, except for a central band in the northern land mass extension of Gondwana, where high values were predicted. The areas of high soil carbon accumulation closely match the known distribution of late Carboniferous coals. Sensitivity analysis with the model indicated that the increase in O 2 concentration from 21% to 35% reduced global net primary productivity by 18.7% or by 6.3 GtC yr –1 . Further work is required to collate and map at the global scale the distribution of vegetation types, and evidence for wildfires, for the late Carboniferous to test our predictions.

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