Subjects: Geosciences >> Geography submitted time 2024-03-01 Cooperative journals: 《干旱区研究》
Abstract： The construction of mathematical models is one of the important methods to estimate shrub biomass. In this study, two desert shrubs, Reaumuria soongarica and Sympegma regelii, commonly found in the piedmont belt of the northern slopes of the mid Kunlun Mountains, were observed in this study. The whole-plant harvesting method was used, plant height (H), canopy area (S) and plant volume (V) were used as the independent variables, and plant above-ground biomass (W1), below-ground biomass (W2) and whole-plant biomass (W3) were used as the dependent variables, to establish function model. The optimal models for biomass estimation of these two desert shrubs were selected based on the largest determination coefficient (R2), the smallest estimated standard deviation (SEE) and significant level (P<0.001). The results showed that the optimal models for biomass estimation of R. soongarica and S. regelii were quadratic function model, except for the whole plant optimal prediction model of S. regelii was linear function model. For R. soongarica, the highest correlation was observed between plant volume (V) and biomass, with R2 ranged from 0.820 to 0.920. For S. regelii, the highest correlation between canopy area (S) and biomass was observed, with R2 ranged from 0.935 to 0.973. The optimal models for biomass estimation of R. soongarica and S. regelii all passed through significance test (P<0.001), with fit rates ranging from 84.1% to 95.6%, and these models could be used for biomass estimation. The results from this study will be very helpful for studying carbon stocks and evaluating carbon sink potential in desert ecosystem.
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