用于植被变化归因的区域机器学习残差趋势法

胡博洋, 孙建国, 张倩, 杨云睿

Residual trend method based on regional modeling and machine learning for attribution of vegetation changes

HU Boyang, SUN Jianguo, ZHANG Qian, YANG Yunrui

表2 气候和人为因素贡献率计算方法

Tab.2 Calculation method for contribution of climate and human factors

植被变化类型	$S L O_{o b e}$	$S L O_{e s t}$	$S L O_{r e s}$	贡献率/%
植被变化类型	$S L O_{o b e}$	$S L O_{e s t}$	$S L O_{r e s}$	气候因素	人为因素
植被恢复	$0$ (且 $P 0.05$ )	$0$	$0$	$(\frac{S L O_{e s t}}{S L O_{o b e}}) \times 100$	$(\frac{S L O_{r e s}}{S L O_{o b e}}) \times 100$
		$0$	$0$	100	0
		$0$	$0$	0	100
植被退化	$0$ (且 $P 0.05$ )	$0$	$0$	$(\frac{S L O_{e s t}}{S L O_{o b e}}) \times 100$	$(\frac{S L O_{r e s}}{S L O_{o b e}}) \times 100$
		$0$	$0$	100	0
		$0$	$0$	0	100