Best models identified by stepwise multiple regression using Principal Components (Prin) 1 through 4 as predictors for the multifunctional resistance and resilience of C and N cycling functions. Resistance and Resilience indices were calculated for drought (DRT) and drought+heat (D + H) stressed soils with reference to an unstressed control. P-values are given for every parameter entered into the model and not removed (threshold p < 0.15), and for the model as a whole. Signs in parentheses after parameter names represent parameter directionality.
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https://figshare.com/articles/dataset/Best_models_identified_by_stepwise_multiple_regression_using_Principal_Components_Prin_1_through_4_as_predictors_for_the_multifunctional_resistance_and_resilience_of_C_and_N_cycling_functions_Resistance_and_Resilience_indices_were_calculate/29258943
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Best models identified by stepwise multiple regression using Principal Components (Prin) 1 through 4 as predictors for the multifunctional resistance and resilience of C and N cycling functions. Resistance and Resilience indices were calculated for drought (DRT) and drought+heat (D + H) stressed soils with reference to an unstressed control. P-values are given for every parameter entered into the model and not removed (threshold p < 0.15), and for the model as a whole. Signs in parentheses after parameter names represent parameter directionality.
本研究采用逐步多元回归方法,以主成分(Principal Components,Prin)1至4作为预测因子,筛选出适配碳循环与氮循环功能多功能抗性与恢复力的最优模型。针对干旱(drought, DRT)与干旱+热胁迫(drought+heat, D+H)下的土壤,以无胁迫对照组为参照,计算其抗性指数与恢复力指数。针对所有纳入模型且未被剔除的参数(阈值p<0.15)以及模型整体,均给出了对应的P值。参数名称后的括号内符号代表参数的方向性。
创建时间:
2025-06-06



