Bayesian inference of environmental effects on seaweed production in Japan via a production-environmental suitability model

Botanical Studies

Table 1 The posterior mean and standard deviation (SD) of the Bayesian estimates

Factor	Estimate	Mean	SD	Percentage of contribution to all the environmental factors (%)
Maximum production (1000 tonnes)	V	304.508	43.085	–
Half-saturated suitability	K	1.008	0.421	–
Rainfall	a	0.054	0.053	13.2
CO₂ concentration	b	0.065	0.072	15.9
Temperature	c	0.055	0.065	13.5
Typhoon	d	0.018	0.022	4.4
Solar radiation	e	0.053	0.060	13.0
Nutrient level	f	0.137	0.119	33.6
Water quality	g	0.026	0.039	6.4