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K67_03calc_LUEref.m
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% Calculates LUEref as in Wu et al science manuscript
% Natalia Restrepo-Coupe
% Toronto
% .........................................................................
addpath /home/ncoupe/Documents/OZ/;
addpath /home/ncoupe/Documents/Amazon/;
month_name = ['JAN';'FEB';'MAR';'APR';'MAY';'JUN';'JUL';'AUG';'SEP';'OCT';'NOV';'DEC'];
color_mtx = [0.1020 0.5882 0.2549; 215/255 25/255 28/255; 43/255 131/255 186/255; ...
253/255 174/255 97/255; 0.2549 0.1020 0.5882; 81/255 161/255 74/255;0.1020 0.5882 0.2549; 0.1020 0.5882 0.2549];
umol2gC = 60.*60.*24.*12.*(10.^-6);
cycle_hour = (0:23)';
K67.gepDry = -K67.gee; K67.gepDry(indDry==1) = NaN;
K67.gepDryDay = K67.gepDry; K67.gepDryDay(K67.So<tresholdSo) = NaN;
K67.gepday = -K67.gee; K67.gepday(K67.So<tresholdSo) = NaN;
K67.rDry = K67.r; K67.rDry(indDry==1) = NaN;
K67.neeDry = K67.neefill; K67.neeDry(indDry==1) = NaN;
%% ..........................................................................
% K67.NEE = K67.fco2 + K67.storagewt;
% K67.NEE(K67.ustar<ust_tresh) = NaN; K67.NEE = AM_rm_outlier(K67.NEE,3);
% [~,K67.NEE] = AM_spike_detection(K67.NEE,5);
%
% [~,K67.storage] = AM_spike_detection(K67.storagewt,5);
% K67.storage = AM_rm_outlier(K67.storagewt,3);
% K67.storage(95470:99120) = NaN; K67.storage(95470:99120) = NaN;
% K67.storage(130480:131700) = NaN; K67.fco2(130480:131700) = NaN;
% K67.nee = K67.fco2 + K67.storage;
% [K67.GEPmodel_ust_min,K67.GEPmodel_ust_max,K67.GEP_ec,K67.Remodel_ust_min,K67.Remodel_ust_max,...
% K67.Re_ec,K67.NEE_ec_ust_min,K67.NEE_ec_ust_max,K67.NEE_ec] = ...
% AM_gep_ust(K67.nee,K67.radiation_plus,K67.ustar,ust_min,ust_tresh,ust_max,...
% lat,lon,K67.dateloc+datenum(0,0,0,1,0,0),0,-3,-3,30); %utm
%..........................................................................
%% LUEref
%..........................................................................
figure('color','white');
subplot(2,2,1); hold on;
iy = interp1(K67am.dateloc,K67am.VPD./1000,K67.dateloc);
[pVPDam,r2,~,~,sm] = AM_compute_regression(K67.VPD_fill,iy,[0.4,0.4,0.4],1);
xlabel('VPD'); ylabel('VPD_{ameriflux}');
subplot(2,2,3:4); hold on;
plot(K67.dateloc,K67.VPD); plot(K67am.dateloc,K67am.VPD./1000)
plot(K67.dateloc,(polyval(p,K67.VPD_fill))); legend('UofA','Ameriflux');
[K67.weekLUEref,weekLUEref_count,weekLUEref_std] = ...
AM_week2day_LUEref(K67.gepday,K67.radiation_plus,polyval(pVPDam,K67.VPD_fill),K67.tc_fill,K67.dateloc,lat,lon,-1);
K67.weekLUEref(K67.weekLUEref>0.026) = NaN;
K67.weekLUEref = AM_rm_outlier(K67.weekLUEref,3);
ix = smooth(K67.weekLUEref,3); ix(isnan(K67.weekLUEref)) = NaN; K67.weekLUEref = ix;
K67.weekLUEref = AM_fill_plus(K67.weekLUEref);
[K67.monthLUEref,monthLUEref_count,monthLUEref_std] = ...
AM_month_LUEref(K67.gepday,K67.radiation_plus,polyval(pVPDam,K67.VPD_fill),K67.tc_fill,K67.dateloc,lat,lon,-1);
K67.monthLUEref(K67.monthLUEref>0.027) = NaN;
K67.monthLUEref = AM_rm_outlier(K67.monthLUEref,3);
ix = smooth(K67.monthLUEref,3); ix(isnan(K67.monthLUEref)) = NaN; K67.monthLUEref = ix;
K67.monthLUEref = AM_fill_plus(K67.monthLUEref);
[K67.weekLUErefRELAX,weekLUErefRELAX_count,weekLUErefRELAX_std] = ...
AM_week2day_LUErefRELAX(K67.gepday,K67.radiation_plus,polyval(pVPDam,K67.VPD_fill),K67.tc_fill,K67.dateloc,lat,lon,-1);
K67.weekLUErefRELAX(K67.weekLUErefRELAX>0.03) = NaN;
K67.weekLUErefRELAX = AM_rm_outlier(K67.weekLUErefRELAX,3);
K67.weekLUErefRELAX = AM_fill_plus(K67.weekLUErefRELAX);
ix = smooth(K67.weekLUErefRELAX,3); ix(isnan(K67.weekLUErefRELAX)) = NaN; K67.weekLUErefRELAX = ix;
[K67.monthLUErefRELAX,monthLUErefRELAX_count,monthLUErefRELAX_std] = ...
AM_month_LUErefRELAX(K67.gepday,K67.radiation_plus,polyval(pVPDam,K67.VPD_fill),K67.tc_fill,K67.dateloc,lat,lon,-1);
K67.monthLUErefRELAX(K67.monthLUErefRELAX>0.028) = NaN;
K67.monthLUErefRELAX = AM_rm_outlier(K67.monthLUErefRELAX,3);
ix = smooth(K67.monthLUErefRELAX,3); ix(isnan(K67.monthLUErefRELAX)) = NaN; K67.monthLUErefRELAX = ix;
K67.monthLUErefRELAX = AM_fill_plus(K67.monthLUErefRELAX);
% K67.weekLUEref(105) = NaN;
% K67.weekLUEref = AM_rm_outlier(K67.weekLUEref,3);
% K67.monthLUEref = AM_rm_outlier(K67.monthLUEref,3);
% K67.monthLUEref(K67.monthLUEref>0.028) = NaN;
% K67.monthLUEref((K67.monthY<=2010)&(K67.monthLUEref<0.011)) = NaN;
%% ........................................................................
[K67.week_avgLUEref,~,K67.week_avgstdLUEref] = AM_week2_avg(K67.weekLUEref,K67.week);
[K67.month_avgLUEref,~,K67.month_avgstdLUEref] = AM_month_avg(K67.monthLUEref,K67.month);
[K67.week_recurrentLUEref] = AM_week2dayAVG_recurrent(K67.week_avgLUEref,K67.week);
[K67.month_recurrentLUEref] = AM_monthAVG_recurrent(K67.month_avgLUEref,K67.month);
% ........................................................................
%% ........................................................................
K67.weekLUErefRELAX = AM_rm_outlier(K67.weekLUErefRELAX,3);
ix = smooth(K67.weekLUErefRELAX,3); ix(isnan(K67.weekLUErefRELAX)) = NaN; K67.weekLUErefRELAX = ix;
K67.weekLUErefRELAX = AM_fill_plus(K67.weekLUErefRELAX);
K67.monthLUErefRELAX = AM_rm_outlier(K67.monthLUErefRELAX,3);
ix = smooth(K67.monthLUErefRELAX,3); ix(isnan(K67.monthLUErefRELAX)) = NaN; K67.monthLUErefRELAX = ix;
K67.monthLUErefRELAX = AM_fill_plus(K67.monthLUErefRELAX);
[K67.week_avgLUErefRELAX,~,K67.week_avgstdLUErefRELAX] = AM_week2_avg(K67.weekLUErefRELAX,K67.week);
[K67.month_avgLUErefRELAX,~,K67.month_avgstdLUErefRELAX] = AM_month_avg(K67.monthLUErefRELAX,K67.month);
[K67.week_recurrentLUErefRELAX] = AM_week2dayAVG_recurrent(K67.week_avgLUErefRELAX,K67.week);
[K67.month_recurrentLUErefRELAX] = AM_monthAVG_recurrent(K67.month_avgLUErefRELAX,K67.month);
% ........................................................................
%% Model
% ........................................................................
%Calculates a teoretical PAR
PAR = K67.radiation_plus;
PAR((K67.So<10)|(K67.radiation_plus<0))=0;
[PARmaxtest_cycle,PARmax_cycle] = AM_day_cycle_max(PAR,K67.dateloc);
[~,So_cycle] = AM_day_cycle_max(K67.So,K67.dateloc);
PARmaxtest_cycle = reshape(PARmaxtest_cycle,[12*24,1]); PARmax_cycle = reshape(PARmax_cycle,[12*24,1]);
So_cycle = reshape(So_cycle,[12*24,1]);
p_test = polyfit(So_cycle(~isnan(So_cycle)&~isnan(PARmaxtest_cycle)),PARmaxtest_cycle(~isnan(So_cycle)&~isnan(PARmaxtest_cycle)),1);
p = polyfit(So_cycle(~isnan(So_cycle)&~isnan(PARmax_cycle)),PARmax_cycle(~isnan(So_cycle)&~isnan(PARmax_cycle)),1);
PARtheory = polyval(p,K67.So); PARtheorytest = polyval(p_test,K67.So);
% % figure('color','white'); plot(PARtheory); hold on;
% % plot(PARtheorytest,'m'); plot(PAR,'g');
% Calculates cloudiness index
K67.CI = 1-(PAR./PARtheory); K67.CI(K67.CI<0) = 0; K67.CI(K67.CI>1) = 1;
K67.CI(K67.So<10) = NaN;
K67.monthCI = AM_month2cycle(K67.CI,K67.dateloc,tresholdCycleDay,4,2);
K67.monthCI = AM_fill(K67.monthCI);
%% VPD
VPDfit = polyval(pVPDam,K67.VPD).*1000;
VPDfit(VPDfit<0) = 0;
VPDam = interp1(K67am.dateloc,K67am.VPD,K67.dateloc);
% % mdl = fitlm(VPD,VPDam,'y ~ x1');
% % m = mdl.Coefficients.Estimate(2); b = mdl.Coefficients.Estimate(1);
% % VPDfit = (m.*VPD)+b; VPDfit(VPDfit<0) = 0;
figure('color','white');
subplot(2,2,1:2); hold on;
plot(K67.dateloc,K67.VPD.*1000,'color',[0.0,0.4,0.4]);
plot(K67.dateloc,VPDfit,'color',[0.0,0.4,0.9]);
plot(K67.dateloc,VPDam,'color',[0.9,0.4,0.4]);
subplot(2,2,3); hold on;
plot(K67.VPD.*1000,VPDam,'.','color',[0.4,0.4,0.4]); plot(K67.VPD.*1000,VPDfit,'.','color',[0.9,0.4,0.4]);
plot((0:500:4000),(0:500:4000),'--g');
ylabel('VPD_{ameriflux}'); xlabel('VPD_{k67}');
%% ........................................................................
% % K67.LUEref = interp1(K67.week+8,K67.weekLUEref,K67.dateloc,'nearest');
% % K67.LUErefRELAX = interp1(K67.week+8,K67.weekLUErefRELAX,K67.dateloc,'nearest');
% % K67.LUEref_recurrent = interp1(K67.week+8,K67.week_recurrentLUEref,K67.dateloc,'nearest');
% % K67.LUEref_constant = (K67.dateloc.*0)+nanmean(K67.weekLUEref);
K67.LUEref = interp1(K67.month+15,K67.monthLUEref,K67.dateloc,'nearest');
K67.LUErefRELAX = interp1(K67.month+15,K67.monthLUErefRELAX,K67.dateloc,'nearest');
K67.LUEref_recurrent = interp1(K67.month+15,K67.month_recurrentLUEref,K67.dateloc,'nearest');
K67.LUEref_constant = (K67.dateloc.*0)+nanmean(K67.monthLUEref);
kCI = 2.056; fENVref = 1.225;
kVPD = 191.1.*10^-6; PARo = 6216.4;
K67.GEPmodelRELAX = (K67.LUErefRELAX./fENVref).*K67.radiation_plus.*(1+(kCI.*K67.CI)).*(1-(kVPD.*VPDfit)).*....
(1./(1+(K67.radiation_plus./PARo)));
K67.GEPmodel = (K67.LUEref./fENVref).*K67.radiation_plus.*(1+(kCI.*K67.CI)).*(1-(kVPD.*VPDfit)).*....
(1./(1+(K67.radiation_plus./PARo)));
% % K67.GEPmodelVPD = (K67.LUEref./fENVref).*K67.radiation_plus.*(1+(kCI.*K67.CI)).*(1-(kVPD.*K67.VPD.*1000)).*....
% % (1./(1+(K67.radiation_plus./PARo)));
K67.GEPmodel_LUErecurrent = (K67.LUEref_recurrent./fENVref).*K67.radiation_plus.*(1+(kCI.*K67.CI)).*(1-(kVPD.*VPDfit)).*....
(1./(1+(K67.radiation_plus./PARo)));
K67.GEPmodel_LUEavg = (K67.LUEref_constant./fENVref).*K67.radiation_plus.*(1+(kCI.*K67.CI)).*(1-(kVPD.*VPDfit)).*....
(1./(1+(K67.radiation_plus./PARo)));
%%
K67.GEPmodelRELAX(K67.So==0)=0; K67.GEPmodelRELAX(K67.GEPmodelRELAX<-1) = NaN; K67.GEPmodelRELAX = AM_fill_plus(K67.GEPmodelRELAX);
K67.GEPmodel(K67.So==0)=0; K67.GEPmodel(K67.GEPmodel<-1) = NaN; K67.GEPmodel = AM_fill_plus(K67.GEPmodel);
K67.GEPmodel_LUErecurrent(K67.So==0)=0; K67.GEPmodel_LUErecurrent(K67.GEPmodel_LUErecurrent<-1) = NaN; K67.GEPmodel_LUErecurrent = AM_fill_plus(K67.GEPmodel_LUErecurrent);
K67.GEPmodel_LUEavg(K67.So==0)=0; K67.GEPmodel_LUEavg(K67.GEPmodel_LUEavg<-1) = NaN; K67.GEPmodel_LUEavg = AM_fill_plus(K67.GEPmodel_LUEavg);
[K67.weekGEPmodelRELAX,~,~,~,~,K67.week_stdGEPmodelRELAX] = AM_week2cycle_rs(K67.GEPmodelRELAX,K67.dateloc,tresholdCycle,4,2);
K67.weekGEPmodelRELAX = AM_rm_outlier(K67.weekGEPmodelRELAX,3); K67.weekGEPmodelRELAX = AM_fill(K67.weekGEPmodelRELAX);
[K67.monthGEPmodelRELAX,~,~,~,~,K67.month_stdGEPmodelRELAX] = AM_month2cycle(K67.GEPmodelRELAX,K67.dateloc,tresholdCycle,4,2);
K67.monthGEPmodelRELAX((K67.monthGEPmodelRELAX<3)|(K67.monthGEPmodelRELAX>12)) = NaN;
K67.monthGEPmodelRELAX = AM_fill(K67.monthGEPmodelRELAX);
[K67.weekGEPmodel,~,~,~,~,K67.week_stdGEPmodel] = AM_week2cycle_rs(K67.GEPmodel,K67.dateloc,tresholdCycle,4,2);
K67.weekGEPmodel = AM_rm_outlier(K67.weekGEPmodel,3); K67.weekGEPmodel = AM_fill(K67.weekGEPmodel);
[K67.monthGEPmodel,~,~,~,~,K67.month_stdGEPmodel] = AM_month2cycle(K67.GEPmodel,K67.dateloc,tresholdCycle,4,2);
K67.monthGEPmodel = AM_fill(K67.monthGEPmodel);
[K67.monthGEPmodel_LUErecurrent,~,~,~,~,K67.month_stdGEPmodel_LUErecurrent] =...
AM_month2cycle(K67.GEPmodel_LUErecurrent,K67.dateloc,tresholdCycle,4,2);
% K67.monthGEPmodel_LUErecurrent = AM_rm_outlier(K67.monthGEPmodel_LUErecurrent,3);
K67.monthGEPmodel_LUErecurrent = AM_fill(K67.monthGEPmodel_LUErecurrent);
[K67.monthGEPmodel_LUEavg,~,~,~,~,K67.month_stdGEPmodel_LUEavg] =...
AM_month2cycle(K67.GEPmodel_LUEavg,K67.dateloc,tresholdCycle,4,2);
% K67.monthGEPmodel_LUEavg = AM_rm_outlier(K67.monthGEPmodel_LUEavg,3);
K67.monthGEPmodel_LUEavg = AM_fill(K67.monthGEPmodel_LUEavg);
[K67.week_recurrentgee] = AM_week2dayAVG_recurrent(K67.week_avggee,K67.week);
K67.month_avggee = AM_month_avg(K67.monthgee,K67.month);
[K67.month_recurrentgee] = AM_monthAVG_recurrent(K67.month_avggee,K67.month);
%% ........................................................................
figure('color','white');
v1 = 0.006; v2 = 0.028; v3 = v1:((v2-v1)/3):v2;
x1 = datenum(K67.Y(1),1,1); x2 = datenum(K67.Y(end)+1,1,1); x3 = datenum(K67.year,1,1)';
subplot(2,1,1); hold on;
ix = find(K67.monthTRMM<100); iy = ones(length(K67.month),1); iy = iy.*v1;
iz = iy; iz(ix) = (v2+v1);
y = [iy,iz];
h = bar(K67.month',y,4.0); set(gca,'Layer','top');
set(h(2),'FaceColor',[.9 .9 .9],'EdgeColor',[.9 .9 .9]); set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',v1); hold on;
plot(K67.week,K67.week_recurrentLUEref,'color',[0 0 0.7],'LineWidth',2)
plot(K67.week,K67.week.*0+nanmean(K67.week_avgLUEref),'color',[0.9 0.5 0.],'LineWidth',2)
plot(K67.week,K67.weekLUEref,'color',[0.0 0.7 0.3],'LineWidth',2)
set(gca,'XTick',x3,'XTickLabel',datestr(x3,'yyyy'),'YTick',v3,'YTickLabel',v3,...
'Ylim',[v1 v2],'Xlim',[x1 x2],'FontSize',12);
ylabel ({'LUE_{ref}';'(\mumolCO_2/\mumol photons)'});
v1 = 0.008; v2 = 0.026; v3 = v1:((v2-v1)/3):v2;
x1 = datenum(K67.Y(1),1,1); x2 = datenum(K67.Y(end)+1,1,1); x3 = datenum(K67.year,1,1)';
subplot(2,1,2); hold on;
ix = find(K67.monthTRMM<100); iy = ones(length(K67.month),1); iy = iy.*v1;
iz = iy; iz(ix) = (v2+v1);
y = [iy,iz];
h = bar(K67.month',y,4.0); set(gca,'Layer','top');
set(h(2),'FaceColor',[.9 .9 .9],'EdgeColor',[.9 .9 .9]); set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',v1); hold on;
plot(K67.month,K67.month_recurrentLUEref,'color',[0 0 0.7],'LineWidth',2)
plot(K67.month,K67.month.*0+nanmean(K67.month_avgLUEref),'color',[0.9 0.5 0.],'LineWidth',2)
plot(K67.month,K67.monthLUEref,'color',[0.0 0.7 0.3],'LineWidth',2)
set(gca,'XTick',x3,'XTickLabel',datestr(x3,'yyyy'),'YTick',v3,'YTickLabel',v3,...
'Ylim',[v1 v2],'Xlim',[x1 x2],'FontSize',12);
ylabel ({'LUE_{ref}';'(\mumolCO_2/mol photons)'});
%% ........................................................................
figure('color','white');
v1 = 3; v2 = 12; v3 = v1:((v2-v1)/4):v2;
x1 = datenum(K67.Y(1),1,1); x2 = datenum(K67.Y(end)+1,1,1); x3 = datenum(K67.year,1,1)';
subplot(2,1,1); hold on;
ix = find(K67.monthTRMM<100); iy = ones(length(K67.month),1); iy = iy.*v1;
iz = iy; iz(ix) = (v2+v1);
y = [iy,iz];
h = bar(K67.month',y,4.0); set(gca,'Layer','top');
set(h(2),'FaceColor',[.9 .9 .9],'EdgeColor',[.9 .9 .9]); set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',v1); hold on;
plot(K67.week,-K67.week_recurrentgee,'color',[0 0 0.7],'LineWidth',2)
plot(K67.week,-K67.weekgee,'color','k','LineWidth',2)
% plot(K67.week,-K67.weekgee,'color',[0.9 0.5 0.],'LineWidth',2)
plot(K67.week,K67.weekGEPmodel,'color',[0. 0.7 0.0],'LineWidth',2)
set(gca,'XTick',x3,'XTickLabel',datestr(x3,'yyyy'),'YTick',v3,'YTickLabel',v3,...
'Ylim',[v1 v2],'Xlim',[x1 x2],'FontSize',12);
ylabel ({'GEP';'(\mumolCO_2 m^-^2 s^-^1)'});
v1 = 3; v2 = 11; v3 = v1:((v2-v1)/4):v2;
x1 = datenum(K67.Y(1),1,1); x2 = datenum(K67.Y(end)+1,1,1); x3 = datenum(K67.year,1,1)';
subplot(2,1,2); hold on;
ix = find(K67.monthTRMM<100); iy = ones(length(K67.month),1); iy = iy.*v1;
iz = iy; iz(ix) = (v2+v1);
y = [iy,iz];
h = bar(K67.month',y,4.0); set(gca,'Layer','top');
set(h(2),'FaceColor',[.9 .9 .9],'EdgeColor',[.9 .9 .9]); set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',v1); hold on;
% % % upper_line= (ci(2,1).*xValues)+ci(1,2); lower_line = (ci(2,2).*xValues)+ci(1,1);
% % % y_area = [(-K67.monthgee+K67.month_stdgee./1000),K67.month_stdgee./1000.*2];
% % % h = area([K67.month,K67.month],y_area); set(gca,'Layer','top');
% % % set(h(2),'FaceColor',[0.7 0.7 0.7],'EdgeColor',[0.7 0.7 0.7]);
% % % set(h(1),'FaceColor','none','EdgeColor','none');
% % % set(h,'BaseValue',0); alpha(h,.5);
hl1 = plot(K67.month,-K67.month_recurrentgee,'color',[0 0.5 0.7],'LineWidth',1);
hl7 = plot(K67.month,(K67.month.*0)-nanmean(K67.monthgee),':','color',[0.5 0.0 0.5],'LineWidth',1);
hl2 = plot(K67.month,-K67.monthgee,'color','k','LineWidth',2);
hl3 = plot(K67.month,K67.monthGEPmodel,'color',[0. 0.7 0.0],'LineWidth',2);
hl4 = plot(K67.month,K67.monthGEPmodel_LUErecurrent,'color',[0.0 0.0 0.7],'LineWidth',2);
hl5 = plot(K67.month,K67.monthGEPmodel_LUEavg,'color',[0.9 0.5 0.0],'LineWidth',2);
hl6 = plot(K67.month,K67.monthGEPmodelRELAX,'color',[0.5 0. 0.0],'LineWidth',2);
set(gca,'XTick',x3,'XTickLabel',datestr(x3,'yyyy'),'YTick',v3,'YTickLabel',v3,...
'Ylim',[v1 v2],'Xlim',[x1 x2],'FontSize',12);
ylabel ({'GEP';'(\mumolCO_2 m^-^2 s^-^1)'});
legend([hl1,hl2,hl3,hl4,hl5,hl6],'Mean seasonal value','Observations','f_{env}+Monthly LUE_{ref}',...
'f_{env}+Mean seasonal cycle of LUE_{ref}','f_{env}+Constant LUE_{ref}','f_{env}+Monthly LUE_{refRELAX}','orientation','horizontal');
legend box off;
box on;
%%
iy = K67.GEPmodel_LUEavg;
figure('color','white');
x1 = 0; x2 = 40; x3 = x1:((x2-x1)/4):x2;
y1 = 0; y2 = 40; y3 = y1:((y2-y1)/4):y2;
subplot(2,2,1); hold on;
ind = find((K67.HY_Y ~= 2008)&(K67.HY_Y ~= 2015));
plot(iy(ind),-K67.gee(ind),'.','color',[.5 .5 .5],'MarkerSize',10);
mdl = fitlm(iy(ind),-K67.gee(ind),'y ~ x1');
ci = coefCI(mdl,0.05);
m = mdl.Coefficients.Estimate(2); b = mdl.Coefficients.Estimate(1);
xValues = (floor(nanmin(iy)):.5:ceil(nanmax(iy)))';
upper_line= (ci(2,1).*xValues)+ci(1,2); lower_line = (ci(2,2).*xValues)+ci(1,1);
y_area = [lower_line,upper_line-lower_line];
h = area([xValues,xValues],y_area); set(gca,'Layer','top');
set(h(2),'FaceColor',[0.7 0.7 0.7],'EdgeColor',[0.7 0.7 0.7]);
set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',0); alpha(h,.5);
y_model = (m.*xValues)+b;
plot(xValues,y_model,'-','color',[0.4,0.4,0.4]);
plot(xValues,xValues,'--','color',[0.4,0.4,0.4]);
ind = find(~isnan(-K67.gee)&~isnan(iy)&(K67.HY_Y ~= 2008)&(K67.HY_Y ~= 2015));
r2 = corrcoef(iy(ind),-K67.gee(ind));
text (x1,y2,{['R^2:' num2str(r2(2),'%3.2f')]},'FontSize',10);
set(gca,'XTick',x3,'XTickLabel',x3,'Xlim',[x1 x2],'YTick',y3,'Ylim',[y1 y2],'FontSize',12);
box on; grid on;
ik = [2015;2008]; count = 0;
for ij = 1:length(ik)
count(ik(ij)==2015) = 2; count(ik(ij)==2008) = 5;
ind = find(K67.HY_Y == ik(ij));
hl2 = plot(iy(ind),-K67.gee(ind),'.','Color',color_mtx(count,:),'MarkerSize',10); hold on;
[p,r2,~,~,sm] = AM_compute_regression(iy(ind),-K67.gee(ind),[0.4,0.4,0.4],0);
y_model = polyval(p,iy(ind)); hold on;
plot(iy(ind),y_model,'-','Color',color_mtx(count,:));
% text (x3(2),y1+20,{['Gs=' num2str(p(1),'%4.2f') 'Rn_{day}+' num2str(p(2),'%4.2f')];...
% ['r^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
text (x1,y2,{['R^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
end
xlabel ({'GEP_{model} (gC m^-^2 d^-^1)';'f_{env}+Constant LUE_{ref}';},'FontSize',12);
ylabel ({'GEP (gC m^-^2 d^-^1)'},'FontSize',12);
iy = K67.GEPmodel_LUErecurrent;
% y1 = 4; y2 = 12; y3 = y1:((y2-y1)/4):y2;
subplot(2,2,2); hold on;
ind = find((K67.HY_Y ~= 2008)&(K67.HY_Y ~= 2015));
plot(iy(ind),-K67.gee(ind),'.','color',[.5 .5 .5],'MarkerSize',10);
mdl = fitlm(iy(ind),-K67.gee(ind),'y ~ x1');
ci = coefCI(mdl,0.05);
m = mdl.Coefficients.Estimate(2); b = mdl.Coefficients.Estimate(1);
xValues = (floor(nanmin(iy)):.5:ceil(nanmax(iy)))';
upper_line= (ci(2,1).*xValues)+ci(1,2); lower_line = (ci(2,2).*xValues)+ci(1,1);
y_area = [lower_line,upper_line-lower_line];
h = area([xValues,xValues],y_area); set(gca,'Layer','top');
set(h(2),'FaceColor',[0.7 0.7 0.7],'EdgeColor',[0.7 0.7 0.7]);
set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',0); alpha(h,.5);
y_model = (m.*xValues)+b;
plot(xValues,y_model,'-','color',[0.4,0.4,0.4]);
plot(xValues,xValues,'--','color',[0.4,0.4,0.4]);
ind = find(~isnan(-K67.gee)&~isnan(iy)&(K67.HY_Y ~= 2008)&(K67.HY_Y ~= 2015));
r2 = corrcoef(iy(ind),-K67.gee(ind));
text (x1,y2,{['R^2:' num2str(r2(2),'%3.2f')]},'FontSize',10);
set(gca,'XTick',x3,'XTickLabel',x3,'Xlim',[x1 x2],'YTick',y3,'Ylim',[y1 y2],'FontSize',12);
box on; grid on;
ik = [2015;2008]; count = 0;
for ij = 1:length(ik)
count(ik(ij)==2015) = 2; count(ik(ij)==2008) = 5;
ind = find(K67.HY_Y == ik(ij));
hl2 = plot(iy(ind),-K67.gee(ind),'.','Color',color_mtx(count,:),'MarkerSize',10); hold on;
[p,r2,~,~,sm] = AM_compute_regression(iy(ind),-K67.gee(ind),[0.4,0.4,0.4],0);
y_model = polyval(p,iy(ind)); hold on;
plot(iy(ind),y_model,'-','Color',color_mtx(count,:));
% text (x3(2),y1+20,{['Gs=' num2str(p(1),'%4.2f') 'Rn_{day}+' num2str(p(2),'%4.2f')];...
% ['r^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
text (x1,y2,{['R^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
end
xlabel ({'GEP_{model} (gC m^-^2 d^-^1)';'f_{env}+Mean seasonal cycle of LUE_{ref}';},'FontSize',12);
ylabel ({'GEP (gC m^-^2 d^-^1)'},'FontSize',12);
iy = K67.GEPmodel;
% y1 = 4; y2 = 12; y3 = y1:((y2-y1)/4):y2;
subplot(2,2,3); hold on;
ind = find((K67.HY_Y ~= 2008)&(K67.HY_Y ~= 2015));
plot(iy(ind),-K67.gee(ind),'.','color',[.5 .5 .5],'MarkerSize',10);
mdl = fitlm(iy(ind),-K67.gee(ind),'y ~ x1');
ci = coefCI(mdl,0.05);
m = mdl.Coefficients.Estimate(2); b = mdl.Coefficients.Estimate(1);
xValues = (floor(nanmin(iy)):.5:ceil(nanmax(iy)))';
upper_line= (ci(2,1).*xValues)+ci(1,2); lower_line = (ci(2,2).*xValues)+ci(1,1);
y_area = [lower_line,upper_line-lower_line];
h = area([xValues,xValues],y_area); set(gca,'Layer','top');
set(h(2),'FaceColor',[0.7 0.7 0.7],'EdgeColor',[0.7 0.7 0.7]);
set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',0); alpha(h,.5);
y_model = (m.*xValues)+b;
plot(xValues,y_model,'-','color',[0.4,0.4,0.4]);
plot(xValues,xValues,'--','color',[0.4,0.4,0.4]);
ind = find(~isnan(-K67.gee)&~isnan(iy)&(K67.HY_Y ~= 2008)&(K67.HY_Y ~= 2015));
r2 = corrcoef(iy(ind),-K67.gee(ind));
text (x1,y2,{['R^2:' num2str(r2(2)^2,'%3.2f')]},'FontSize',10);
set(gca,'XTick',x3,'XTickLabel',x3,'Xlim',[x1 x2],'YTick',y3,'Ylim',[y1 y2],'FontSize',12);
box on; grid on;
ik = [2015;2008]; count = 0;
for ij = 1:length(ik)
count(ik(ij)==2015) = 2; count(ik(ij)==2008) = 5;
ind = find(K67.HY_Y == ik(ij));
hl2 = plot(iy(ind),-K67.gee(ind),'.','Color',color_mtx(count,:),'MarkerSize',10); hold on;
[p,r2,~,~,sm] = AM_compute_regression(iy(ind),-K67.gee(ind),[0.4,0.4,0.4],0);
y_model = polyval(p,iy(ind)); hold on;
plot(iy(ind),y_model,'-','Color',color_mtx(count,:));
% text (x3(2),y1+20,{['Gs=' num2str(p(1),'%4.2f') 'Rn_{day}+' num2str(p(2),'%4.2f')];...
% ['r^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
text (x1,y2,{['R^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
end
xlabel ({'GEP_{model} (gC m^-^2 d^-^1)';'f_{env}+Monthly LUE_{ref}'},'FontSize',12);
ylabel ({'GEP (gC m^-^2 d^-^1)'},'FontSize',12);
iy = K67.GEPmodel;
subplot(2,2,4); hold on;
ind = find((K67.HY_Y ~= 2008)&(K67.HY_Y ~= 2015));
plot(iy(ind),-K67.gee(ind),'.','color',[.5 .5 .5],'MarkerSize',10);
mdl = fitlm(iy(ind),-K67.gee(ind),'y ~ x1');
ci = coefCI(mdl,0.05);
m = mdl.Coefficients.Estimate(2); b = mdl.Coefficients.Estimate(1);
xValues = (floor(nanmin(iy)):.5:ceil(nanmax(iy)))';
upper_line= (ci(2,1).*xValues)+ci(1,2); lower_line = (ci(2,2).*xValues)+ci(1,1);
y_area = [lower_line,upper_line-lower_line];
h = area([xValues,xValues],y_area); set(gca,'Layer','top');
set(h(2),'FaceColor',[0.7 0.7 0.7],'EdgeColor',[0.7 0.7 0.7]);
set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',0); alpha(h,.5);
y_model = (m.*xValues)+b;
plot(xValues,y_model,'-','color',[0.4,0.4,0.4]);
plot(xValues,xValues,'--','color',[0.4,0.4,0.4]);
ind = find(~isnan(-K67.gee)&~isnan(iy)&(K67.HY_Y ~= 2008)&(K67.HY_Y ~= 2015));
r2 = corrcoef(iy(ind),-K67.gee(ind));
text (x1,y2,{['R^2:' num2str(r2(2)^2,'%3.2f')]},'FontSize',10);
set(gca,'XTick',x3,'XTickLabel',x3,'Xlim',[x1 x2],'YTick',y3,'Ylim',[y1 y2],'FontSize',12);
box on; grid on;
ik = [2015;2008]; count = 0;
for ij = 1:length(ik)
count(ik(ij)==2015) = 2; count(ik(ij)==2008) = 5;
ind = find(K67.HY_Y == ik(ij));
hl2 = plot(iy(ind),-K67.gee(ind),'.','Color',color_mtx(count,:),'MarkerSize',10); hold on;
[p,r2,~,~,sm] = AM_compute_regression(iy(ind),-K67.gee(ind),[0.4,0.4,0.4],0);
y_model = polyval(p,iy(ind)); hold on;
plot(iy(ind),y_model,'-','Color',color_mtx(count,:));
% text (x3(2),y1+20,{['Gs=' num2str(p(1),'%4.2f') 'Rn_{day}+' num2str(p(2),'%4.2f')];...
% ['r^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
text (x1,y2,{['R^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
end
xlabel ({'GEP_{modelVPD} (gC m^-^2 d^-^1)';'f_{env}+Monthly LUE_{ref}'},'FontSize',12);
ylabel ({'GEP (gC m^-^2 d^-^1)'},'FontSize',12);
%%
iy = K67.monthGEPmodel_LUEavg;
figure('color','white');
x1 = 5; x2 = 11; x3 = x1:((x2-x1)/3):x2;
y1 = 5; y2 = 11; y3 = y1:((y2-y1)/3):y2;
subplot(2,2,1); hold on;
ind = find((K67.HY_monthY ~= 2008)&(K67.HY_monthY ~= 2015));
plot(iy(ind),-K67.monthgee(ind),'.','color',[.5 .5 .5],'MarkerSize',10);
mdl = fitlm(iy(ind),-K67.monthgee(ind),'y ~ x1');
ci = coefCI(mdl,0.05);
m = mdl.Coefficients.Estimate(2); b = mdl.Coefficients.Estimate(1);
xValues = (floor(nanmin(iy)):.5:ceil(nanmax(iy)))';
upper_line= (ci(2,1).*xValues)+ci(1,2); lower_line = (ci(2,2).*xValues)+ci(1,1);
y_area = [lower_line,upper_line-lower_line];
h = area([xValues,xValues],y_area); set(gca,'Layer','top');
set(h(2),'FaceColor',[0.7 0.7 0.7],'EdgeColor',[0.7 0.7 0.7]);
set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',0); alpha(h,.5);
y_model = (m.*xValues)+b;
plot(xValues,y_model,'-','color',[0.4,0.4,0.4]);
plot(xValues,xValues,'--','color',[0.4,0.4,0.4]);
ind = find(~isnan(-K67.monthgee)&~isnan(iy)&(K67.HY_monthY ~= 2008)&(K67.HY_monthY ~= 2015));
r2 = corrcoef(iy(ind),-K67.monthgee(ind));
text (x1,y2,{['R^2:' num2str(r2(2),'%3.2f')]},'FontSize',10);
set(gca,'XTick',x3,'XTickLabel',x3,'Xlim',[x1 x2],'YTick',y3,'Ylim',[y1 y2],'FontSize',12);
box on; grid on;
ik = [2015;2008]; count = 0;
for ij = 1:length(ik)
count(ik(ij)==2015) = 2; count(ik(ij)==2008) = 5;
ind = find(K67.HY_monthY == ik(ij));
hl2 = plot(iy(ind),-K67.monthgee(ind),'.','Color',color_mtx(count,:),'MarkerSize',10); hold on;
[p,r2,~,~,sm] = AM_compute_regression(iy(ind),-K67.monthgee(ind),[0.4,0.4,0.4],0);
y_model = polyval(p,iy(ind)); hold on;
plot(iy(ind),y_model,'-','Color',color_mtx(count,:));
% text (x3(2),y1+20,{['Gs=' num2str(p(1),'%4.2f') 'Rn_{day}+' num2str(p(2),'%4.2f')];...
% ['r^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
text (x1,y2,{['R^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
end
xlabel ({'GEP_{model} (gC m^-^2 d^-^1)';'f_{env}+Constant LUE_{ref}';},'FontSize',12);
ylabel ({'GEP (gC m^-^2 d^-^1)'},'FontSize',12);
iy = K67.monthGEPmodel_LUErecurrent;
% y1 = 4; y2 = 12; y3 = y1:((y2-y1)/4):y2;
subplot(2,2,2); hold on;
ind = find((K67.HY_monthY ~= 2008)&(K67.HY_monthY ~= 2015));
plot(iy(ind),-K67.monthgee(ind),'.','color',[.5 .5 .5],'MarkerSize',10);
mdl = fitlm(iy(ind),-K67.monthgee(ind),'y ~ x1');
ci = coefCI(mdl,0.05);
m = mdl.Coefficients.Estimate(2); b = mdl.Coefficients.Estimate(1);
xValues = (floor(nanmin(iy)):.5:ceil(nanmax(iy)))';
upper_line= (ci(2,1).*xValues)+ci(1,2); lower_line = (ci(2,2).*xValues)+ci(1,1);
y_area = [lower_line,upper_line-lower_line];
h = area([xValues,xValues],y_area); set(gca,'Layer','top');
set(h(2),'FaceColor',[0.7 0.7 0.7],'EdgeColor',[0.7 0.7 0.7]);
set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',0); alpha(h,.5);
y_model = (m.*xValues)+b;
plot(xValues,y_model,'-','color',[0.4,0.4,0.4]);
plot(xValues,xValues,'--','color',[0.4,0.4,0.4]);
ind = find(~isnan(-K67.monthgee)&~isnan(iy)&(K67.HY_monthY ~= 2008)&(K67.HY_monthY ~= 2015));
r2 = corrcoef(iy(ind),-K67.monthgee(ind));
text (x1,y2,{['R^2:' num2str(r2(2),'%3.2f')]},'FontSize',10);
set(gca,'XTick',x3,'XTickLabel',x3,'Xlim',[x1 x2],'YTick',y3,'Ylim',[y1 y2],'FontSize',12);
box on; grid on;
ik = [2015;2008]; count = 0;
for ij = 1:length(ik)
count(ik(ij)==2015) = 2; count(ik(ij)==2008) = 5;
ind = find(K67.HY_monthY == ik(ij));
hl2 = plot(iy(ind),-K67.monthgee(ind),'.','Color',color_mtx(count,:),'MarkerSize',10); hold on;
[p,r2,~,~,sm] = AM_compute_regression(iy(ind),-K67.monthgee(ind),[0.4,0.4,0.4],0);
y_model = polyval(p,iy(ind)); hold on;
plot(iy(ind),y_model,'-','Color',color_mtx(count,:));
% text (x3(2),y1+20,{['Gs=' num2str(p(1),'%4.2f') 'Rn_{day}+' num2str(p(2),'%4.2f')];...
% ['r^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
text (x1,y2,{['R^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
end
xlabel ({'GEP_{model} (gC m^-^2 d^-^1)';'f_{env}+Mean seasonal cycle of LUE_{ref}';},'FontSize',12);
ylabel ({'GEP (gC m^-^2 d^-^1)'},'FontSize',12);
iy = K67.monthGEPmodel;
% y1 = 4; y2 = 12; y3 = y1:((y2-y1)/4):y2;
subplot(2,2,3); hold on;
ind = find((K67.HY_monthY ~= 2008)&(K67.HY_monthY ~= 2015));
plot(iy(ind),-K67.monthgee(ind),'.','color',[.5 .5 .5],'MarkerSize',10);
mdl = fitlm(iy(ind),-K67.monthgee(ind),'y ~ x1');
ci = coefCI(mdl,0.05);
m = mdl.Coefficients.Estimate(2); b = mdl.Coefficients.Estimate(1);
xValues = (floor(nanmin(iy)):.5:ceil(nanmax(iy)))';
upper_line= (ci(2,1).*xValues)+ci(1,2); lower_line = (ci(2,2).*xValues)+ci(1,1);
y_area = [lower_line,upper_line-lower_line];
h = area([xValues,xValues],y_area); set(gca,'Layer','top');
set(h(2),'FaceColor',[0.7 0.7 0.7],'EdgeColor',[0.7 0.7 0.7]);
set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',0); alpha(h,.5);
y_model = (m.*xValues)+b;
plot(xValues,y_model,'-','color',[0.4,0.4,0.4]);
plot(xValues,xValues,'--','color',[0.4,0.4,0.4]);
ind = find(~isnan(-K67.monthgee)&~isnan(iy)&(K67.HY_monthY ~= 2008)&(K67.HY_monthY ~= 2015));
r2 = corrcoef(iy(ind),-K67.monthgee(ind));
text (x1,y2,{['R^2:' num2str(r2(2)^2,'%3.2f')]},'FontSize',10);
set(gca,'XTick',x3,'XTickLabel',x3,'Xlim',[x1 x2],'YTick',y3,'Ylim',[y1 y2],'FontSize',12);
box on; grid on;
ik = [2015;2008]; count = 0;
for ij = 1:length(ik)
count(ik(ij)==2015) = 2; count(ik(ij)==2008) = 5;
ind = find(K67.HY_monthY == ik(ij));
hl2 = plot(iy(ind),-K67.monthgee(ind),'.','Color',color_mtx(count,:),'MarkerSize',10); hold on;
[p,r2,~,~,sm] = AM_compute_regression(iy(ind),-K67.monthgee(ind),[0.4,0.4,0.4],0);
y_model = polyval(p,iy(ind)); hold on;
plot(iy(ind),y_model,'-','Color',color_mtx(count,:));
% text (x3(2),y1+20,{['Gs=' num2str(p(1),'%4.2f') 'Rn_{day}+' num2str(p(2),'%4.2f')];...
% ['r^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
text (x1,y2,{['R^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
end
xlabel ({'GEP_{model} (gC m^-^2 d^-^1)';'f_{env}+Monthly LUE_{ref}'},'FontSize',12);
ylabel ({'GEP (gC m^-^2 d^-^1)'},'FontSize',12);
% ix = -K67.monthgee./K67.monthGEPmodel;
ix = -K67.monthgee-K67.monthGEPmodel;
iy = K67.monthGsFGmmol./1000;
y1 = 0; y2 = 1.2; y3 = y1:((y2-y1)/4):y2;
% x1 = 0.6; x2 = 1.8; x3 = x1:((x2-x1)/4):x2;
x1 = -2; x2 = 2; x3 = x1:((x2-x1)/4):x2;
subplot(2,2,4); hold on;
ind = find((K67.HY_monthY ~= 2008)&(K67.HY_monthY ~= 2015));
plot(ix(ind),iy(ind),'.','color',[.5 .5 .5],'MarkerSize',10);
mdl = fitlm(ix(ind),iy(ind),'y ~ x1');
ci = coefCI(mdl,0.05);
m = mdl.Coefficients.Estimate(2); b = mdl.Coefficients.Estimate(1);
xValues = (floor(nanmin(ix)):.5:ceil(nanmax(ix)))';
upper_line= (ci(2,1).*xValues)+ci(1,2); lower_line = (ci(2,2).*xValues)+ci(1,1);
y_area = [lower_line,upper_line-lower_line];
h = area([xValues,xValues],y_area); set(gca,'Layer','top');
set(h(2),'FaceColor',[0.7 0.7 0.7],'EdgeColor',[0.7 0.7 0.7]);
set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',0); alpha(h,.5);
y_model = (m.*xValues)+b;
plot(xValues,y_model,'-','color',[0.4,0.4,0.4]);
ind = find(~isnan(iy)&~isnan(ix));
r2 = corrcoef(ix(ind),iy(ind));
text (x1,y2,{['R^2:' num2str(r2(2)^2,'%3.2f')]},'FontSize',10);
set(gca,'XTick',x3,'XTickLabel',x3,'Xlim',[x1 x2],'YTick',y3,'Ylim',[y1 y2],'FontSize',12);
box on; grid on;
ik = [2015;2008]; count = 0;
for ij = 1:length(ik)
count(ik(ij)==2015) = 2; count(ik(ij)==2008) = 5;
ind = find(K67.HY_monthY == ik(ij));
hl2 = plot(ix(ind),iy(ind),'.','Color',color_mtx(count,:),'MarkerSize',10); hold on;
[p,r2,~,~,sm] = AM_compute_regression(ix(ind),iy(ind),[0.4,0.4,0.4],0);
y_model = polyval(p,ix(ind)); hold on;
plot(ix(ind),y_model,'-','Color',color_mtx(count,:));
% text (x3(2),y1+20,{['Gs=' num2str(p(1),'%4.2f') 'Rn_{day}+' num2str(p(2),'%4.2f')];...
% ['r^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
text (x1,y2,{['R^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
end
plot((y3.*0)+1,y3,'-','color',[.5 .5 .5]);
xlabel ('GEP-GEP_{model}','FontSize',12);
ylabel ('Gs (mmol m^-^2 s^-^1)','FontSize',12);
%% ........................................................................
figure('color','white');
% ix = -K67.monthgee./K67.monthGEPmodel;
iy = K67.monthVPDday;
y1 = 0; y2 = 2.4; y3 = y1:((y2-y1)/4):y2;
% x1 = 0.6; x2 = 1.8; x3 = x1:((x2-x1)/4):x2;
subplot(2,2,1); hold on;
ind = find((K67.HY_monthY ~= 2008)&(K67.HY_monthY ~= 2015));
plot(ix(ind),iy(ind),'.','color',[.5 .5 .5],'MarkerSize',10);
mdl = fitlm(ix(ind),iy(ind),'y ~ x1');
ci = coefCI(mdl,0.05);
m = mdl.Coefficients.Estimate(2); b = mdl.Coefficients.Estimate(1);
xValues = (floor(nanmin(ix)):.5:ceil(nanmax(ix)))';
upper_line= (ci(2,1).*xValues)+ci(1,2); lower_line = (ci(2,2).*xValues)+ci(1,1);
y_area = [lower_line,upper_line-lower_line];
h = area([xValues,xValues],y_area); set(gca,'Layer','top');
set(h(2),'FaceColor',[0.7 0.7 0.7],'EdgeColor',[0.7 0.7 0.7]);
set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',0); alpha(h,.5);
y_model = (m.*xValues)+b;
plot(xValues,y_model,'-','color',[0.4,0.4,0.4]);
ind = find(~isnan(iy)&~isnan(ix));
r2 = corrcoef(ix(ind),iy(ind));
text (x1,y2,{['R^2:' num2str(r2(2)^2,'%3.2f')]},'FontSize',10);
set(gca,'XTick',x3,'XTickLabel',x3,'Xlim',[x1 x2],'YTick',y3,'Ylim',[y1 y2],'FontSize',12);
box on; grid on;
ik = [2015;2008]; count = 0;
for ij = 1:length(ik)
count(ik(ij)==2015) = 2; count(ik(ij)==2008) = 5;
ind = find(K67.HY_monthY == ik(ij));
hl2 = plot(ix(ind),iy(ind),'.','Color',color_mtx(count,:),'MarkerSize',10); hold on;
[p,r2,~,~,sm] = AM_compute_regression(ix(ind),iy(ind),[0.4,0.4,0.4],0);
y_model = polyval(p,ix(ind)); hold on;
plot(ix(ind),y_model,'-','Color',color_mtx(count,:));
% text (x3(2),y1+20,{['Gs=' num2str(p(1),'%4.2f') 'Rn_{day}+' num2str(p(2),'%4.2f')];...
% ['r^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
text (x1,y2,{['R^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
end
plot((y3.*0)+1,y3,'-','color',[.5 .5 .5]);
xlabel ('GEP/GEP_{model}','FontSize',12);
ylabel ('VPD (kPa)','FontSize',12);
% ix = -K67.monthgee./K67.monthGEPmodel;
iy = K67.monthPAR;
y1 = 0; y2 = 1000; y3 = y1:((y2-y1)/4):y2;
% x1 = 0.6; x2 = 1.8; x3 = x1:((x2-x1)/4):x2;
subplot(2,2,2); hold on;
ind = find((K67.HY_monthY ~= 2008)&(K67.HY_monthY ~= 2015));
plot(ix(ind),iy(ind),'.','color',[.5 .5 .5],'MarkerSize',10);
mdl = fitlm(ix(ind),iy(ind),'y ~ x1'); ci = coefCI(mdl,0.05);
m = mdl.Coefficients.Estimate(2); b = mdl.Coefficients.Estimate(1);
xValues = (floor(nanmin(ix)):.5:ceil(nanmax(ix)))';
upper_line= (ci(2,1).*xValues)+ci(1,2); lower_line = (ci(2,2).*xValues)+ci(1,1);
y_area = [lower_line,upper_line-lower_line];
h = area([xValues,xValues],y_area); set(gca,'Layer','top');
set(h(2),'FaceColor',[0.7 0.7 0.7],'EdgeColor',[0.7 0.7 0.7]);
set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',0); alpha(h,.5);
y_model = (m.*xValues)+b;
plot(xValues,y_model,'-','color',[0.4,0.4,0.4]);
ind = find(~isnan(iy)&~isnan(ix)); r2 = corrcoef(ix(ind),iy(ind));
text (x1,y2,{['R^2:' num2str(r2(2)^2,'%3.2f')]},'FontSize',10);
set(gca,'XTick',x3,'XTickLabel',x3,'Xlim',[x1 x2],'YTick',y3,'Ylim',[y1 y2],'FontSize',12);
box on; grid on;
ik = [2015;2008]; count = 0;
for ij = 1:length(ik)
count(ik(ij)==2015) = 2; count(ik(ij)==2008) = 5;
ind = find(K67.HY_monthY == ik(ij));
hl2 = plot(ix(ind),iy(ind),'.','Color',color_mtx(count,:),'MarkerSize',10); hold on;
[p,r2,~,~,sm] = AM_compute_regression(ix(ind),iy(ind),[0.4,0.4,0.4],0);
y_model = polyval(p,ix(ind)); hold on;
plot(ix(ind),y_model,'-','Color',color_mtx(count,:));
% text (x3(2),y1+20,{['Gs=' num2str(p(1),'%4.2f') 'Rn_{day}+' num2str(p(2),'%4.2f')];...
% ['r^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
text (x1,y2,{['R^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
end
plot((y3.*0)+1,y3,'-','color',[.5 .5 .5]);
xlabel ('GEP/GEP_{model}','FontSize',12);
ylabel ('PAR (\mumol m^-^2 s^-^1)','FontSize',12);
% ix = -K67.monthgee./K67.monthGEPmodel;
iy = K67.monthLUEref;
y1 = 0; y2 = .04; y3 = y1:((y2-y1)/4):y2;
% x1 = 0.6; x2 = 1.8; x3 = x1:((x2-x1)/4):x2;
subplot(2,2,3); hold on;
ind = find((K67.HY_monthY ~= 2008)&(K67.HY_monthY ~= 2015));
plot(ix(ind),iy(ind),'.','color',[.5 .5 .5],'MarkerSize',10);
mdl = fitlm(ix(ind),iy(ind),'y ~ x1');
ci = coefCI(mdl,0.05);
m = mdl.Coefficients.Estimate(2); b = mdl.Coefficients.Estimate(1);
xValues = (floor(nanmin(ix)):.5:ceil(nanmax(ix)))';
upper_line= (ci(2,1).*xValues)+ci(1,2); lower_line = (ci(2,2).*xValues)+ci(1,1);
y_area = [lower_line,upper_line-lower_line];
h = area([xValues,xValues],y_area); set(gca,'Layer','top');
set(h(2),'FaceColor',[0.7 0.7 0.7],'EdgeColor',[0.7 0.7 0.7]);
set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',0); alpha(h,.5);
y_model = (m.*xValues)+b;
plot(xValues,y_model,'-','color',[0.4,0.4,0.4]);
ind = find(~isnan(iy)&~isnan(ix)); r2 = corrcoef(ix(ind),iy(ind));
text (x1,y2,{['R^2:' num2str(r2(2)^2,'%3.2f')]},'FontSize',10);
set(gca,'XTick',x3,'XTickLabel',x3,'Xlim',[x1 x2],'YTick',y3,'Ylim',[y1 y2],'FontSize',12);
box on; grid on;
ik = [2015;2008]; count = 0;
for ij = 1:length(ik)
count(ik(ij)==2015) = 2; count(ik(ij)==2008) = 5;
ind = find(K67.HY_monthY == ik(ij));
hl2 = plot(ix(ind),iy(ind),'.','Color',color_mtx(count,:),'MarkerSize',10); hold on;
[p,r2,~,~,sm] = AM_compute_regression(ix(ind),iy(ind),[0.4,0.4,0.4],0);
y_model = polyval(p,ix(ind)); hold on;
plot(ix(ind),y_model,'-','Color',color_mtx(count,:));
% text (x3(2),y1+20,{['Gs=' num2str(p(1),'%4.2f') 'Rn_{day}+' num2str(p(2),'%4.2f')];...
% ['r^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
text (x1,y2,{['R^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
end
plot((y3.*0)+1,y3,'-','color',[.5 .5 .5]);
xlabel ('GEP/GEP_{model}','FontSize',12);
ylabel ({'LUE_{ref}';'(\mumolCO_2 mmol^-^1)'},'FontSize',12);
% ix = -K67.monthgee./K67.monthGEPmodel;
iy = K67.monthCI;
y1 = 0.2; y2 = 0.8; y3 = y1:((y2-y1)/4):y2;
% x1 = 0.6; x2 = 1.8; x3 = x1:((x2-x1)/4):x2;
subplot(2,2,4); hold on;
ind = find((K67.HY_monthY ~= 2008)&(K67.HY_monthY ~= 2015));
plot(ix(ind),iy(ind),'.','color',[.5 .5 .5],'MarkerSize',10);
mdl = fitlm(ix(ind),iy(ind),'y ~ x1');
ci = coefCI(mdl,0.05);
m = mdl.Coefficients.Estimate(2); b = mdl.Coefficients.Estimate(1);
xValues = (floor(nanmin(ix)):.5:ceil(nanmax(ix)))';
upper_line= (ci(2,1).*xValues)+ci(1,2); lower_line = (ci(2,2).*xValues)+ci(1,1);
y_area = [lower_line,upper_line-lower_line];
h = area([xValues,xValues],y_area); set(gca,'Layer','top');
set(h(2),'FaceColor',[0.7 0.7 0.7],'EdgeColor',[0.7 0.7 0.7]);
set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',0); alpha(h,.5);
y_model = (m.*xValues)+b;
plot(xValues,y_model,'-','color',[0.4,0.4,0.4]);
ind = find(~isnan(iy)&~isnan(ix)); r2 = corrcoef(ix(ind),iy(ind));
text (x1,y2,{['R^2:' num2str(r2(2)^2,'%3.2f')]},'FontSize',10);
set(gca,'XTick',x3,'XTickLabel',x3,'Xlim',[x1 x2],'YTick',y3,'Ylim',[y1 y2],'FontSize',12);
box on; grid on;
ik = [2015;2008]; count = 0;
for ij = 1:length(ik)
count(ik(ij)==2015) = 2; count(ik(ij)==2008) = 5;
ind = find(K67.HY_monthY == ik(ij));
hl2 = plot(ix(ind),iy(ind),'.','Color',color_mtx(count,:),'MarkerSize',10); hold on;
[p,r2,~,~,sm] = AM_compute_regression(ix(ind),iy(ind),[0.4,0.4,0.4],0);
y_model = polyval(p,ix(ind)); hold on;
plot(ix(ind),y_model,'-','Color',color_mtx(count,:));
% text (x3(2),y1+20,{['Gs=' num2str(p(1),'%4.2f') 'Rn_{day}+' num2str(p(2),'%4.2f')];...
% ['r^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
text (x1,y2,{['R^2:' num2str(r2(1),'%3.2f')]},'FontSize',10,'color',color_mtx(count,:));
end
plot((y3.*0)+1,y3,'-','color',[.5 .5 .5]);
xlabel ('GEP/GEP_{model}','FontSize',12);
ylabel ('CI','FontSize',12);
%% ........................................................................
[K67.week_deseasonLUEref,K67.week_trendLUEref,K67.week_mtrendLUEref] = AM_week2trend(K67.weekLUEref.*1000,K67.week,1,'LUE_{ref}'); hold on;
v1 = 11; v2 = 26; v3 = v1:((v2-v1)/5):v2;
figure('color','white','Position',[50 50 600 400],'units','inches');
ix = find(K67.monthTRMM<100); iy = ones(length(K67.month),1); iy = iy.*v1;
iz = iy; iz(ix) = (v2+v1);
y = [iy,iz];
h = bar(K67.month',y,4.0); set(gca,'Layer','top');
set(h(2),'FaceColor',[.9 .9 .9],'EdgeColor',[.9 .9 .9]); set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',v1); hold on;
hl1=plot(K67.week,K67.weekLUEref.*1000,'LineWidth',1,'color',[0.4 0.4 0.6]); hold on;
hl2=plot(K67.week,K67.week_deseasonLUEref,'LineWidth',2,'color',[0.6 0.4 0.4]); hold on;
hl3=plot(K67.week,(K67.week.*0)+nanmean(K67.weekLUEref.*1000),':','LineWidth',1,'color',[0.4 0.4 0.6]); hold on;
set(gca,'XTick',K67.month(1:36:end),'XTickLabel',datestr(K67.month(1:36:end),'yyyy'),'YTick',v3,...
'XLim',[K67.month(1) datenum(2021,1,1)],'YLim',[v1 v2],'FontSize',14);
ylabel ('LUE_{ref} (\mumolC mmol)','FontSize',12); xtickangle(0);
%%
figure('color','white','Position',[50 50 600 800],'units','inches');
v1 = 3; v2 = 11; v3 = v1:((v2-v1)/4):v2;
x1 = datenum(K67.Y(1),1,1); x2 = datenum(K67.Y(end)+1,1,1); x3 = datenum(K67.year,1,1)';
ix = find(K67.monthTRMM<100); iy = ones(length(K67.month),1); iy = iy.*v1;
iz = iy; iz(ix) = (v2+v1);
y = [iy,iz];
h = bar(K67.month',y,4.0); set(gca,'Layer','top'); hold on;
set(h(2),'FaceColor',[.9 .9 .9],'EdgeColor',[.9 .9 .9]); set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',v1); hold on;
% % % upper_line= (ci(2,1).*xValues)+ci(1,2); lower_line = (ci(2,2).*xValues)+ci(1,1);
% % % y_area = [(-K67.monthgee+K67.month_stdgee./1000),K67.month_stdgee./1000.*2];
% % % h = area([K67.month,K67.month],y_area); set(gca,'Layer','top');
% % % set(h(2),'FaceColor',[0.7 0.7 0.7],'EdgeColor',[0.7 0.7 0.7]);
% % % set(h(1),'FaceColor','none','EdgeColor','none');
% % % set(h,'BaseValue',0); alpha(h,.5);
hl1 = plot(K67.month,-K67.month_recurrentgee,'color',[0 0.5 0.7],'LineWidth',1);
hl7 = plot(K67.month,(K67.month.*0)-nanmean(K67.monthgee),':','color',[0.5 0.0 0.5],'LineWidth',1);
hl2 = plot(K67.month,-K67.monthgee,'color','k','LineWidth',2);
hl3 = plot(K67.month,K67.monthGEPmodel,'color',[0. 0.7 0.0],'LineWidth',2);
hl4 = plot(K67.month,K67.monthGEPmodel_LUErecurrent,'color',[0.0 0.0 0.7],'LineWidth',2);
hl5 = plot(K67.month,K67.monthGEPmodel_LUEavg,'color',[0.9 0.5 0.0],'LineWidth',2);
hl6 = plot(K67.month,K67.monthGEPmodelRELAX,'color',[0.6 0.0 0.6],'LineWidth',1.5);
set(gca,'XTick',K67.month(1:36:end),'XTickLabel',datestr(K67.month(1:36:end),'yyyy'),'YTick',v3,...
'XLim',[K67.month(1) datenum(2021,1,1)],'YLim',[v1 v2],'FontSize',14);
ylabel ({'GEP';'(\mumolCO_2 m^-^2 s^-^1)'});
legend([hl1,hl2,hl3,hl4,hl5,hl6],'Mean seasonal value','Observations','f_{env}+Monthly LUE_{ref}',...
'f_{env}+Mean seasonal cycle of LUE_{ref}','f_{env}+Constant LUE_{ref}',...
'f_{env}+Monthly LUE_{refRELAX}','orientation','vertical');
legend box off; box on; xtickangle(0);
% ........................................................................
%% sensitivity check
% ........................................................................
percentChange = (0.75:0.05:1.25)';
x1 = 5; x2 = 11; x3 = x1:((x2-x1)/3):x2;
y1 = 5; y2 = 11; y3 = y1:((y2-y1)/3):y2;
figure('color','white');
iy = K67.monthGEPmodel;
% Biology ...............................................................
subplot(2,2,1); hold on;
ind = find((K67.HY_monthY ~= 2008)&(K67.HY_monthY ~= 2015));
plot(iy(ind),-K67.monthgee(ind),'.','color',[.5 .5 .5],'MarkerSize',5);
mdl = fitlm(iy(ind),-K67.monthgee(ind),'y ~ x1');
ci = coefCI(mdl,0.05);
m = mdl.Coefficients.Estimate(2); b = mdl.Coefficients.Estimate(1);
xValues = (floor(nanmin(iy)):.5:ceil(nanmax(iy)))';
upper_line= (ci(2,1).*xValues)+ci(1,2); lower_line = (ci(2,2).*xValues)+ci(1,1);
y_area = [lower_line,upper_line-lower_line];
h = area([xValues,xValues],y_area); set(gca,'Layer','top');
set(h(2),'FaceColor',[0.7 0.7 0.7],'EdgeColor',[0.7 0.7 0.7]);
set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',0); alpha(h,.5);
y_model = (m.*xValues)+b;
plot(xValues,y_model,'-','color',[0.4,0.4,0.4]);
plot(xValues,xValues,'--','color',[0.4,0.4,0.4]);
ind = find(~isnan(-K67.monthgee)&~isnan(iy)&(K67.HY_monthY ~= 2008)&(K67.HY_monthY ~= 2015));
r2 = corrcoef(iy(ind),-K67.monthgee(ind));
text (x1,y2,{['R^2:' num2str(r2(2)^2,'%3.2f')]},'FontSize',10);
set(gca,'XTick',x3,'XTickLabel',x3,'Xlim',[x1 x2],'YTick',y3,'Ylim',[y1 y2],'FontSize',12);
box on; grid on;
count = 1;
for ix = 1:length(percentChange)
count = count*0.95;
multiplyChange = percentChange(ix);
iw = K67.LUEref.*multiplyChange; iw(iw<0) = 0;
GEPmodelChange = (iw./fENVref).*K67.radiation_plus.*(1+(kCI.*K67.CI)).*(1-(kVPD.*VPDfit)).*....
(1./(1+(K67.radiation_plus./PARo)));
GEPmodelChange(K67.So==0)=0; GEPmodelChange = AM_fill(GEPmodelChange);
monthGEPmodelChange = AM_month2cycle(GEPmodelChange,K67.dateloc,tresholdCycle,4,2);
ik = [2015;2008];
for ij = 1:length(ik)
if ik(ij)==2015
colorChange = [count 0 0];
elseif ik(ij)==2008
colorChange = [0 0 count];
end
ind = find(K67.HY_monthY == ik(ij));
hl2 = plot(monthGEPmodelChange(ind),-K67.monthgee(ind),'.','Color',colorChange,'MarkerSize',10); hold on;
[p,r2,~,~,sm] = AM_compute_regression(monthGEPmodelChange(ind),-K67.monthgee(ind),[0.4,0.4,0.4],0);
y_model = polyval(p,monthGEPmodelChange(ind)); hold on;
plot(monthGEPmodelChange(ind),y_model,'-','Color',colorChange);
% text (x1,y2,{['R^2_{multiplier:}' num2str(multiplyChange) ': ' num2str(r2(1),'%3.2f')]},...
% 'FontSize',10,'color',colorChange);
end
end
xlabel ({'GEP_{model biology} (gC m^-^2 d^-^1)';'f_{env}+Monthly LUE_{ref}'},'FontSize',12);
ylabel ({'GEP (gC m^-^2 d^-^1)'},'FontSize',12);
% radiation_plus ...............................................................
subplot(2,2,2); hold on;
ind = find((K67.HY_monthY ~= 2008)&(K67.HY_monthY ~= 2015));
plot(iy(ind),-K67.monthgee(ind),'.','color',[.5 .5 .5],'MarkerSize',5);
mdl = fitlm(iy(ind),-K67.monthgee(ind),'y ~ x1');
ci = coefCI(mdl,0.05);
m = mdl.Coefficients.Estimate(2); b = mdl.Coefficients.Estimate(1);
xValues = (floor(nanmin(iy)):.5:ceil(nanmax(iy)))';
upper_line= (ci(2,1).*xValues)+ci(1,2); lower_line = (ci(2,2).*xValues)+ci(1,1);
y_area = [lower_line,upper_line-lower_line];
h = area([xValues,xValues],y_area); set(gca,'Layer','top');
set(h(2),'FaceColor',[0.7 0.7 0.7],'EdgeColor',[0.7 0.7 0.7]);
set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',0); alpha(h,.5);
y_model = (m.*xValues)+b;
plot(xValues,y_model,'-','color',[0.4,0.4,0.4]);
plot(xValues,xValues,'--','color',[0.4,0.4,0.4]);
ind = find(~isnan(-K67.monthgee)&~isnan(iy)&(K67.HY_monthY ~= 2008)&(K67.HY_monthY ~= 2015));
r2 = corrcoef(iy(ind),-K67.monthgee(ind));
text (x1,y2,{['R^2:' num2str(r2(2)^2,'%3.2f')]},'FontSize',10);
set(gca,'XTick',x3,'XTickLabel',x3,'Xlim',[x1 x2],'YTick',y3,'Ylim',[y1 y2],'FontSize',12);
box on; grid on;
count = 1;
for ix = 1:length(percentChange)
count = count*0.95;
multiplyChange = percentChange(ix);
iw = K67.radiation_plus.*multiplyChange; iw(iw<0) = 0;
GEPmodelChange = (K67.LUEref./fENVref).*iw.*(1+(kCI.*K67.CI)).*(1-(kVPD.*VPDfit)).*....
(1./(1+(iw./PARo)));
GEPmodelChange(K67.So==0)=0; GEPmodelChange = AM_fill(GEPmodelChange);
monthGEPmodelChange = AM_month2cycle(GEPmodelChange,K67.dateloc,tresholdCycle,4,2);
ik = [2015;2008];
for ij = 1:length(ik)
if ik(ij)==2015
colorChange = [count 0 0];
elseif ik(ij)==2008
colorChange = [0 0 count];
end
ind = find(K67.HY_monthY == ik(ij));
hl2 = plot(monthGEPmodelChange(ind),-K67.monthgee(ind),'.','Color',colorChange,'MarkerSize',10); hold on;
[p,r2,~,~,sm] = AM_compute_regression(monthGEPmodelChange(ind),-K67.monthgee(ind),[0.4,0.4,0.4],0);
y_model = polyval(p,monthGEPmodelChange(ind)); hold on;
plot(monthGEPmodelChange(ind),y_model,'-','Color',colorChange);
% text (x1,y2,{['R^2_{multiplier:}' num2str(multiplyChange) ': ' num2str(r2(1),'%3.2f')]},...
% 'FontSize',10,'color',colorChange);
end
end
xlabel ({'GEP_{model radiation_plus} (gC m^-^2 d^-^1)';'f_{env}+Monthly LUE_{ref}'},'FontSize',12);
ylabel ({'GEP (gC m^-^2 d^-^1)'},'FontSize',12);
% radiation_plus ...............................................................
subplot(2,2,3); hold on;
ind = find((K67.HY_monthY ~= 2008)&(K67.HY_monthY ~= 2015));
plot(iy(ind),-K67.monthgee(ind),'.','color',[.5 .5 .5],'MarkerSize',5);
mdl = fitlm(iy(ind),-K67.monthgee(ind),'y ~ x1');
ci = coefCI(mdl,0.05);
m = mdl.Coefficients.Estimate(2); b = mdl.Coefficients.Estimate(1);
xValues = (floor(nanmin(iy)):.5:ceil(nanmax(iy)))';
upper_line= (ci(2,1).*xValues)+ci(1,2); lower_line = (ci(2,2).*xValues)+ci(1,1);
y_area = [lower_line,upper_line-lower_line];
h = area([xValues,xValues],y_area); set(gca,'Layer','top');
set(h(2),'FaceColor',[0.7 0.7 0.7],'EdgeColor',[0.7 0.7 0.7]);
set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',0); alpha(h,.5);
y_model = (m.*xValues)+b;
plot(xValues,y_model,'-','color',[0.4,0.4,0.4]);
plot(xValues,xValues,'--','color',[0.4,0.4,0.4]);
ind = find(~isnan(-K67.monthgee)&~isnan(iy)&(K67.HY_monthY ~= 2008)&(K67.HY_monthY ~= 2015));
r2 = corrcoef(iy(ind),-K67.monthgee(ind));
text (x1,y2,{['R^2:' num2str(r2(2)^2,'%3.2f')]},'FontSize',10);
set(gca,'XTick',x3,'XTickLabel',x3,'Xlim',[x1 x2],'YTick',y3,'Ylim',[y1 y2],'FontSize',12);
box on; grid on;
count = 1;
for ix = 1:length(percentChange)
count = count*0.95;
multiplyChange = percentChange(ix);
iw = VPDfit.*multiplyChange; iw(iw<0) = 0;
GEPmodelChange = (K67.LUEref./fENVref).*K67.radiation_plus.*(1+(kCI.*K67.CI)).*(1-(kVPD.*(iw))).*....
(1./(1+(K67.radiation_plus./PARo)));
GEPmodelChange(K67.So==0)=0; GEPmodelChange = AM_fill(GEPmodelChange);
monthGEPmodelChange = AM_month2cycle(GEPmodelChange,K67.dateloc,tresholdCycle,4,2);
ik = [2015;2008];
for ij = 1:length(ik)
if ik(ij)==2015
colorChange = [count 0 0];
elseif ik(ij)==2008
colorChange = [0 0 count];
end
ind = find(K67.HY_monthY == ik(ij));
hl2 = plot(monthGEPmodelChange(ind),-K67.monthgee(ind),'.','Color',colorChange,'MarkerSize',10); hold on;
[p,r2,~,~,sm] = AM_compute_regression(monthGEPmodelChange(ind),-K67.monthgee(ind),[0.4,0.4,0.4],0);
y_model = polyval(p,monthGEPmodelChange(ind)); hold on;
plot(monthGEPmodelChange(ind),y_model,'-','Color',colorChange);
% text (x1,y2,{['R^2_{multiplier:}' num2str(multiplyChange) ': ' num2str(r2(1),'%3.2f')]},...
% 'FontSize',10,'color',colorChange);
end
end
xlabel ({'GEP_{model VPD} (gC m^-^2 d^-^1)';'f_{env}+Monthly LUE_{ref}'},'FontSize',12);
ylabel ({'GEP (gC m^-^2 d^-^1)'},'FontSize',12);
% CI ...............................................................
subplot(2,2,4); hold on;
ind = find((K67.HY_monthY ~= 2008)&(K67.HY_monthY ~= 2015));
plot(iy(ind),-K67.monthgee(ind),'.','color',[.5 .5 .5],'MarkerSize',5);
mdl = fitlm(iy(ind),-K67.monthgee(ind),'y ~ x1');
ci = coefCI(mdl,0.05);
m = mdl.Coefficients.Estimate(2); b = mdl.Coefficients.Estimate(1);
xValues = (floor(nanmin(iy)):.5:ceil(nanmax(iy)))';
upper_line= (ci(2,1).*xValues)+ci(1,2); lower_line = (ci(2,2).*xValues)+ci(1,1);
y_area = [lower_line,upper_line-lower_line];
h = area([xValues,xValues],y_area); set(gca,'Layer','top');
set(h(2),'FaceColor',[0.7 0.7 0.7],'EdgeColor',[0.7 0.7 0.7]);
set(h(1),'FaceColor','none','EdgeColor','none');
set(h,'BaseValue',0); alpha(h,.5);
y_model = (m.*xValues)+b;
plot(xValues,y_model,'-','color',[0.4,0.4,0.4]);