PLC50_anisohydric_template.xlsx

	A	B	C	D	E	F	G	J	Q	R	S	T	U	V	W	X	Y	Z	AA	AB	AC	AD	AE	AF	AG	AH	AI	AJ	AK	AL	AM	AN	AO	AP	AQ	AR
1	Month	Year	Period	Code	Ind.	lwp	gs			MODELING THE GS X LWP CURVES USING THE OPTIM FUNCTION IN R (Scoffoni et al 2012)
2	june	2016	midday1	AF	279	-2.4	169.9				Initial parameters						Parameters estimated
3	june	2016	midday1	AF	3313	-2.13	134			MODEL	a	b	c	d	sd	HIST	a	b	c	d	sd	loglikelihood	Rsq	slope	AIC	AICcorr	hess_sea	hess_seb	hess_sec	hess_sed	hess_sese	Gsmax	PLC 80	PLC 75	PLC50
4	july	2016	midday1	AF	279	-3.6	109.1			linear	100	100			100	anorm	180.9918	578.8594			129.9494	-232.5821	0.5332038	0.874803	471.1642	471.8915	27.83787	45.99594			15.10817	578.8594	-2.558610501	-2.398697344	-1.599131563
5	july	2016	midday1	AF	347	-3.05	52.25			sigmoidal	100	1	-10		100	anorm	393.9024	0.3779944	-1.964067		188.082	-238.7041	-0.5787182	0.3940303	485.4081	486.6581	83.25156	0.1713949	0.3302127		50.42062	391.7327661	-2.490686417	-2.382117427	-1.968231066
6	september	2016	midday1	AF	279	-1.7	154.25			logistic	100	1	-10		100	anorm	598.079436	2.098814	-1.383667		122.3658	-230.4986	0.582934	0.8926959	468.9972	470.2472	87.9237	0.7504937	0.2638115		14.24189	598.079436	-2.678482562	-2.335396191	-1.383667	LOWER AIC = BEST MODEL
7	september	2016	midday1	AF	347	-1.5	85.06666667			exponential	100	-1	100		100	anorm	776.9041374	-0.5241818	-74.9242404		124.5111	-230.9973	0.5715281	0.8850148	469.9945	471.2445	185.2603	0.3205179	230.1506		14.47768	701.979897	-2.447987803	-2.159900621	-1.14669963
8	october	2016	midday1	AF	279	-1.8	228.7
9	december	2016	midday1	AF	279	-0.465	750.0333333
10	december	2016	midday1	AF	313	-0.9	467.8
11	january	2017	midday1	AF	313	-0.59	510.55
12	january	2017	midday1	AF	244	-0.39	459.55
13	february	2017	midday1	AF	279	-1.1	366.75
14	february	2017	midday1	AF	244	-0.54	372.95
15	march	2017	midday1	AF	279	-0.985	400.55
16	march	2017	midday1	AF	313	-1.19	539.3
17	april	2017	midday1	AF	279	-1.445	261.95
18	april	2017	midday1	AF	313	-1.145	534.05
19	may	2017	midday1	AF	278	-1.11	254.1333333
20	may	2017	midday1	AF	313	-0.65	441.6
21	june	2017	midday1	AF	279	-1.92	256.95
22	june	2017	midday1	AF	244	-1.715	453
23	june	2016	midday2	AF	347B	-2.175	193.6	LINEAR	EXPONENCIAL							SIGMOIDAL							LOGISTIC
24	june	2016	midday2	AF	347A	-1.775	194.1666667
25	july	2016	midday2	AF	313	-1.9	57.75
26	july	2016	midday2	AF	347	-2.2	119.45
27	september	2016	midday2	AF	279	-2.65	111.25
28	september	2016	midday2	AF	343	-2.2	263.5
29	october	2016	midday2	AF	279	-1.9	224.8
30	october	2016	midday2	AF	313	-1.2	412.1333333
31	february	2017	midday2	AF	279	-0.27	395
32	february	2017	midday2	AF	244	-0.94	468.35
33	march	2017	midday2	AF	279	-0.44	326.25
34	march	2017	midday2	AF	313	-0.395	932.675
35	april	2017	midday2	AF	279	-1.18	283.3
36	april	2017	midday2	AF	313	-1.545	292.4
37	june	2017	midday2	AF	279	-1.595	106.4
38	june	2017	midday2	AF	244	-1.45	234.4
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