Abstract
The long-term use of wetlands stresses wetland ecosystems and leads to degradation and C loss. This study explored an optimal remote sensing-multivariate linear regression model (RS-MLRM) for estimating wetland soil organic carbon (SOC) by using a combination of the measured SOC and above ground biomass (AGB) from 273 samples, textural features, spectral information, and a vegetation index calculated from Landsat-8 images using the Ningxia Basin of the Yellow River as the study area. To derive the optimal predictor model for SOC, these variables were regressed against the measured SOC. These were used to predict SOC and evaluate the contribution of wetland restoration and conservation projects to soil carbon sequestration and sinks on the Ningxia Basin of the Yellow River in early (2000 and 2005), intermediate (2010), and recent (2015) years. The results show that from 2000 to 2015, the project-induced contribution to C sequestration was 20.49 TC, with an annual sink of 1.37 TC. This accounted for 54.06% of the total wetland ecosystem C sequestration on the Ningxia Basin of the Yellow River. Moreover, there was a significant success of restoration and conservation projects regarding C sequestration. These restoration and conservation projects have substantially contributed to CO2 mitigation in the arid area.
Highlights
The terrestrial biosphere absorbs about 25% of anthropogenic carbon dioxide (CO2) emissions, the rate of land carbon uptake remains highly unpredictable
Correlation analysis showed that soil organic carbon (SOC) and one of Band 3 and Band 5 had a number of significant correlations
From 2000 to 2005, the SOC density of four types of wetland decreased on the Ningxia Basin of the Yellow River, suggesting a carbon source
Summary
The terrestrial biosphere absorbs about 25% of anthropogenic carbon dioxide (CO2) emissions, the rate of land carbon uptake remains highly unpredictable. This leads to uncertainties in climate projections [1]. In 2018, Nature listed the major events of climate policy as one of the twelve things that need attention [4]. It has been ranked amongst the 125 most challenging scientific issues published by Science [5], positing how high the greenhouse effect makes the earth’s temperature rise
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