SUPPORTING INFORMATION
Understanding the spatial variations in the diets of two Sturnira bats (Chiroptera:
Phyllostomidae) in Argentina
Mariano S. Sánchez* and Daniel A. Dos Santos
*Correspondent: marianoseb.sanchez@gmail.com
FIG. S1.—Predictive diet mapped onto the RGB colouring system for Sturnira erythromos
(a) and S. lilium (b). The next colors were assigned to the food items: red for Solanum,
green to Piper, and blue for other resources. The final output color results from combining
these three main colors with their intensities proportional to the fractions of food items.
1
FIG. S2.—Colored ternary plot with predicted diets of Sturnira erythromos (open circles)
and S. lilium (solid circles) for some input values taken as combinations of latitude and
altitude within the range of interest. Leftmost, rightmost and upper corners correspond
respectively to the dietary items Solanum, Piper and other fruits that load proportionally in
the red, green and blue chromatic components in the RGB colouring system. Note the
diverging pattern between diets.
2
APPENDIX S1.—Gazetteer of 20 localities studied in NW Argentina. Localities are listed in
order of increasing latitude and longitude. The province and department are provided in
brackets followed by the geographic coordinates and altitude in meters above sea level
(masl). Localities 13-15 were studied by Giannini (1999).
1) Arroyo Arrazayal, 18 km al NW del cruce de rutas 50 y 19, por ruta 19 (Salta, Santa
Victoria) – 22º39′00′′ S, 64º25′00′′ W, 450 masl.
2) 43.7 Km al NW del cruce de ruta 50 y ruta provincial 18, camino a Isla de Cañas, sobre
ruta 18 (Salta, Orán) – 23º00′00′′ S, 64º33′00′′ W, 650 masl.
3) Finca Los Dos Ríos, 11 Km N y 11 Km W de Orán (Salta, Orán) – 23º06′00′′ S,
64º27′00′′ W, 385 masl.
4) Río Colorado, 25 Km W de El Oculto, camino a San Andrés (Salta, Orán) – 23º06′00′′ S,
64º44′00′′ W, 1008 masl.
5) 40 Km al NW del cruse de ruta 50 y ruta provincial 18, sobre camino a San Andrés
(Salta, Orán) – 23º07′48′′ S, 64º38′00′′ W, 613 masl.
6) 27.7 km al NW del cruce de rutas 50 y 18, camino a Isla de Cañas (Salta, Orán) – 23°07’
S, 64°30’ W, 500 masl.
7) 31.7 km al NW del cruce de rutas 50 y 18, camino a Isla de Cañas (Salta, Orán) – 23°06’
S, 64°32’ W, 542 masl.
8) Arroyo Los Matos, 7 Km al N de Finca Las Capillas, sobre ruta provincial 20 (Jujuy, Dr.
Manuel Belgrano) – 24º00′24′′ S, 65º00′48′′ W, 1200 masl.
3
9) Laja Morada, Río Las Capillas, 15 Km N de Finca Las Capillas, por ruta provincial 20
(Jujuy, Dr. Manuel Belgrano) – 24º02′ 00′′ S, 65º07′00′′ W, 1000 masl.
10) Bonete Punco, 13 Km al S de los Baños por ruta provincial 13 S (Salta, Rosario de la
Frontera) – 25º24′00′′ S, 64º52′00′′ W, 817 masl.
11) 15 Km al N de Metán por ruta 9 y 5 Km al W (Salta, Metán) – 25º24′00′′ S, 64º59′00′′
W, 986 masl.
12) Río de Las Conchas 3.9 Km al W de Metán (Salta, Metán) – 25º28′12′′ S, 65º00′36′′ W,
900 masl.
13) El Pinar, Parque Biológico Sierra de San Javier (Tucumán, Tafí Viejo) – 26º42′00′′ S,
65º19′48′′ W, 1600 masl.
14) La Horqueta, Parque Biológico Sierra de San Javier (Tucumán, Tafí Viejo) – 26º43′48′′
S, 65º19′ 12′′ W, 1200 masl.
15) El Pluviómetro, Parque Biológico Sierra de San Javier (Tucumán, Tafí Viejo) –
26º46′12′′ S, 65º19′48′′ W, 800 masl.
16) Río Grande, 5 Km al SW de El Siambón (Tucumán, Tafí Viejo) – 26º46′18′′ S,
65º28′00′′ W, 920 masl.
17) Río Las Piedras, Horco Molle, Parque Biológico Sierra de San Javier (Tucumán, Tafí
Viejo) – 26º46’16’’S, 65º20’10’’W, 829 masl.
18) Río Las Cañas, Horco Molle, Parque Biológico Sierra de San Javier (Tucumán, Tafí
Viejo) – 26º46′ 24′′ S, 65º20′05′′ W, 825 masl.
4
19) Arrollo Aguas Chiquitas, Reserva Provincial Aguas Chiquitas (Tucumán, Burruyacú) –
26º36’21’’S, 65º10’20’W, 600 masl.
20) El Durazno, 8 Km al S de la Viña por ruta 38 vieja (Catamarca, Paclín) – 28º06′00′′ S,
65º36′00′′ W, 760 masl.
APPENDIX S2.—R script for predicting dietary profiles as function of latitude and altitude
using the statistical model obtained via Dirichlet regression. Predicted diets (consisting of
three items, namely Solanum, Piper and other fruits) are graphically represented through
the RGB coloring system in both (i) the ecospace defined by the guiding model parameters
and (ii) a ternary plot.
###########
### GRAPHICAL REPRESENTATION I: BIDIMENSIONAL ECOSPACE
###########
#Auxiliary function for predicting the dietary profileonce values
#for explaining variables are provided.
dietary<- function(Altitude, Latitude) {
liliumsolanum = -0.008043895 + 0.085946417*Latitude + 0.003841201*Altitude
liliumpipper = 5.1809513675 + 0.2313103062*Latitude + 0.0009408829*Altitude
liliumothers = 1.161068061 + 0.130425635*Latitude + 0.001681266*Altitude
erythromossolanum = -25.593792 - 0.755262430*Latitude + 0.007994034*Altitude
erythromospipper = -15.989738575 - 0.416653214*Latitude + 0.005889177*Altitude
erythromosothers = -9.372565538 - 0.172861031*Latitude + 0.005065351*Altitude
lilium<- exp(cbind(liliumsolanum, liliumpipper, liliumothers))
erythromos<- exp(cbind(erythromossolanum, erythromospipper, erythromosothers))
5
out<- list(lilium = prop.table(lilium, 1), erythromos = prop.table(erythromos, 1))
return(out)
}
#Obtain the diet vectors for Sturniralilium(lil) and S. erythromos(ery)
#using as input values of altitude and latitude accommodated to the limits
#of our study area
yungas<- expand.grid(-20:-30, seq(500, 3000, 100))
lil<- dietary(yungas[,2], yungas[,1])$lilium
ery<- dietary(yungas[,2], yungas[,1])$erythromos
#Plot the predicted diet of S. liliumin the ecospace
plot(c(500, 3000), c(-20, -30), xlim = c(3100, 400), ylim = c(-31, -19), xlab = "Altitude",
ylab = "Latitude", main = "Sturniralilium", bty = "n", type = "n", log = "x")
rect(yungas[,2] - 50, yungas[,1] - 0.5, yungas[,2] + 50, yungas[,1] + 0.5, border = NA,
col = rgb(lil[,1], lil[,2],lil[,3]))
#Similarly, plot the predicted diet of S. erythromosin the ecospace
plot(c(500, 3000), c(-20, -30), xlim = c(3100, 400), ylim = c(-31, -19), xlab = "Altitude",
ylab = "Latitude", main = "Sturniraerythromos", bty = "n", type = "n", log = "x")
rect(yungas[,2] - 50, yungas[,1] - 0.5, yungas[,2] + 50, yungas[,1] + 0.5, border = NA,
col = rgb(ery[,1], ery[,2],ery[,3]))
###########
### GRAPHICAL REPRESENTATION II: TERNARY PLOT
###########
#Auxiliary function for producing coordinates in a ternary plot.
#Arguments refer to the relative contribution of each item to the total diet
ternary<- function(a, b, c){
x <- 0.5*(2*b + c)
6
y <- sqrt(3)*c/2
return(cbind(x, y))
}
#Create the diagram itself and project on it the diets previously predicted
slt<- seq(0, 1, 0.01)
dato<- c()
for(i in slt)
for(j in slt)
for(k in slt){
if(abs((i + j + k) - 1)>0.0001 ) next
dato<- rbind(dato, c(ternary(i, j, k), rgb(i, j, k)))
}
plot(dato[,1], dato[,2], col = dato[,3], pch = 19, bty = "n",
axes = FALSE, xlab = "", ylab = "")
text(0.75, 0.1, "li", cex = 2.5)
text(0.75, 0.25, "er", cex = 2.5)
points(ternary(ery[,1], ery[,2], ery[,3]))
points(ternary(lil[,1], lil[,2], lil[,3]), pch = 19)
7
APPENDIX S3.—A) Results of dietary simulations for Sturnira erythromos estimated from model parameters. The composition diet vectors
for each combinations of latitude and altitude correspond to [Solanum; Piper; others fruits]. Latitude is expressed in decimal degrees and
altitude in meters above sea level.
Altitude
500
600
700
800
900
1000
1100
1200
1300
1400
1500
1600
1700
1800
1900
2000
2100
2200
2300
2400
2500
2600
2700
2800
2900
3000
Latitude
-20
[0.034;0.202;0.764]
[0.044;0.213;0.742]
[0.058;0.224;0.718]
[0.074;0.234;0.691]
[0.095;0.243;0.661]
[0.121;0.251;0.628]
[0.153;0.256;0.591]
[0.191;0.259;0.550]
[0.235;0.259;0.506]
[0.286;0.255;0.459]
[0.343;0.247;0.410]
[0.403;0.236;0.360]
[0.467;0.221;0.311]
[0.532;0.204;0.264]
[0.594;0.185;0.221]
[0.654;0.165;0.181]
[0.709;0.145;0.146]
[0.758;0.125;0.117]
[0.801;0.107;0.092]
[0.837;0.091;0.072]
[0.868;0.076;0.056]
[0.894;0.064;0.043]
[0.915;0.053;0.033]
[0.932;0.044;0.025]
[0.945;0.036;0.019]
[0.956;0.029;0.014]
-21
[0.056;0.238;0.705]
[0.073;0.249;0.679]
[0.093;0.258;0.649]
[0.118;0.266;0.615]
[0.149;0.272;0.579]
[0.186;0.275;0.539]
[0.230;0.274;0.496]
[0.279;0.271;0.450]
[0.335;0.263;0.402]
[0.395;0.251;0.354]
[0.458;0.236;0.306]
[0.522;0.218;0.260]
[0.585;0.198;0.218]
[0.645;0.176;0.179]
[0.700;0.155;0.145]
[0.749;0.135;0.116]
[0.793;0.115;0.092]
[0.831;0.098;0.072]
[0.862;0.082;0.055]
[0.889;0.069;0.043]
[0.910;0.057;0.033]
[0.928;0.047;0.025]
[0.942;0.039;0.019]
[0.954;0.032;0.014]
[0.963;0.026;0.011]
[0.971;0.021;0.008]
-22
[0.091;0.274;0.635]
[0.116;0.282;0.603]
[0.146;0.288;0.567]
[0.182;0.291;0.527]
[0.224;0.291;0.485]
[0.273;0.287;0.441]
[0.327;0.279;0.394]
[0.386;0.266;0.347]
[0.448;0.251;0.301]
[0.512;0.232;0.256]
[0.575;0.211;0.215]
[0.635;0.189;0.177]
[0.690;0.166;0.144]
[0.741;0.145;0.115]
[0.785;0.124;0.091]
[0.823;0.105;0.071]
[0.856;0.089;0.055]
[0.883;0.074;0.042]
[0.906;0.062;0.033]
[0.924;0.051;0.025]
[0.939;0.042;0.019]
[0.951;0.034;0.014]
[0.961;0.028;0.011]
[0.969;0.023;0.008]
[0.975;0.019;0.006]
[0.980;0.015;0.005]
-23
[0.142;0.304;0.554]
[0.177;0.308;0.515]
[0.218;0.307;0.474]
[0.266;0.303;0.431]
[0.319;0.295;0.386]
[0.377;0.283;0.340]
[0.439;0.266;0.295]
[0.501;0.247;0.252]
[0.564;0.225;0.211]
[0.624;0.201;0.175]
[0.680;0.178;0.142]
[0.731;0.155;0.114]
[0.777;0.133;0.090]
[0.816;0.113;0.071]
[0.849;0.096;0.055]
[0.878;0.080;0.042]
[0.901;0.067;0.032]
[0.920;0.055;0.025]
[0.936;0.045;0.019]
[0.949;0.037;0.014]
[0.959;0.031;0.011]
[0.967;0.025;0.008]
[0.974;0.020;0.006]
[0.979;0.017;0.005]
[0.983;0.013;0.003]
[0.986;0.011;0.003]
-24
[0.212;0.325;0.463]
[0.259;0.321;0.421]
[0.311;0.312;0.377]
[0.368;0.299;0.333]
[0.428;0.282;0.289]
[0.491;0.262;0.247]
[0.553;0.239;0.208]
[0.613;0.215;0.172]
[0.670;0.190;0.140]
[0.721;0.166;0.113]
[0.767;0.143;0.089]
[0.808;0.122;0.070]
[0.842;0.103;0.055]
[0.871;0.086;0.042]
[0.896;0.072;0.032]
[0.916;0.060;0.025]
[0.932;0.049;0.019]
[0.945;0.040;0.014]
[0.956;0.033;0.011]
[0.965;0.027;0.008]
[0.972;0.022;0.006]
[0.977;0.018;0.005]
[0.982;0.015;0.003]
[0.986;0.012;0.003]
[0.988;0.010;0.002]
[0.991;0.008;0.001]
-25
[0.302;0.330;0.368]
[0.358;0.316;0.325]
[0.418;0.299;0.283]
[0.479;0.278;0.242]
[0.541;0.254;0.204]
[0.602;0.229;0.169]
[0.659;0.203;0.138]
[0.711;0.178;0.111]
[0.758;0.153;0.089]
[0.799;0.131;0.070]
[0.835;0.111;0.054]
[0.865;0.093;0.042]
[0.890;0.078;0.032]
[0.911;0.064;0.025]
[0.928;0.053;0.019]
[0.942;0.044;0.014]
[0.953;0.036;0.011]
[0.963;0.029;0.008]
[0.97;0.0240;0.006]
[0.976;0.020;0.005]
[0.981;0.016;0.003]
[0.985;0.013;0.003]
[0.988;0.010;0.002]
[0.990;0.009;0.001]
[0.992;0.007;0.001]
[0.994;0.006;0.001]
8
APPENDIX S3.—A) Continuation of the results of dietary simulations for Sturnira erythromos.
Latitude
Altitude
-26
-27
-28
-29
-30
500
600
700
800
900
1000
1100
1200
1300
1400
1500
1600
1700
1800
1900
2000
2100
2200
2300
2400
2500
2600
2700
2800
2900
3000
[0.407;0.316;0.277]
[0.468;0.295;0.237]
[0.529;0.270;0.200]
[0.590;0.244;0.167]
[0.647;0.217;0.136]
[0.700;0.190;0.110]
[0.748;0.164;0.088]
[0.790;0.141;0.069]
[0.827;0.119;0.054]
[0.858;0.100;0.042]
[0.884;0.084;0.032]
[0.906;0.070;0.025]
[0.924;0.057;0.019]
[0.939;0.047;0.014]
[0.951;0.039;0.011]
[0.960;0.032;0.008]
[0.968;0.026;0.006]
[0.974;0.021;0.005]
[0.979;0.017;0.003]
[0.983;0.014;0.003]
[0.987;0.011;0.002]
[0.989;0.009;0.001]
[0.991;0.008;0.001]
[0.993;0.006;0.001]
[0.994;0.005;0.001]
[0.996;0.004;0.000]
[0.517;0.286;0.196]
[0.577;0.259;0.164]
[0.635;0.231;0.134]
[0.689;0.203;0.109]
[0.737;0.176;0.087]
[0.781;0.151;0.069]
[0.818;0.128;0.054]
[0.850;0.108;0.042]
[0.878;0.090;0.032]
[0.900;0.075;0.025]
[0.919;0.062;0.019]
[0.935;0.051;0.014]
[0.947;0.042;0.011]
[0.958;0.034;0.008]
[0.966;0.028;0.006]
[0.973;0.023;0.005]
[0.978;0.019;0.003]
[0.982;0.015;0.003]
[0.986;0.012;0.002]
[0.989;0.010;0.001]
[0.991;0.008;0.001]
[0.993;0.007;0.001]
[0.994;0.005;0.001]
[0.995;0.004;0.000]
[0.996;0.004;0.000]
[0.997;0.003;0.000]
[0.622;0.246;0.132]
[0.677;0.216;0.107]
[0.726;0.188;0.086]
[0.770;0.162;0.068]
[0.809;0.138;0.053]
[0.843;0.116;0.041]
[0.871;0.097;0.032]
[0.895;0.081;0.024]
[0.914;0.067;0.019]
[0.931;0.055;0.014]
[0.944;0.045;0.011]
[0.955;0.037;0.008]
[0.963;0.030;0.006]
[0.971;0.025;0.005]
[0.976;0.020;0.003]
[0.981;0.016;0.003]
[0.985;0.013;0.002]
[0.988;0.011;0.001]
[0.990;0.009;0.001]
[0.992;0.007;0.001]
[0.994;0.006;0.001]
[0.995;0.005;0.000]
[0.996;0.004;0.000]
[0.997;0.003;0.000]
[0.997;0.003;0.000]
[0.998;0.002;0.000]
[0.714;0.201;0.085]
[0.760;0.173;0.067]
[0.800;0.148;0.053]
[0.834;0.125;0.041]
[0.864;0.105;0.032]
[0.888;0.087;0.024]
[0.909;0.072;0.019]
[0.926;0.060;0.014]
[0.940;0.049;0.011]
[0.952;0.040;0.008]
[0.961;0.033;0.006]
[0.969;0.027;0.005]
[0.975;0.022;0.003]
[0.980;0.018;0.003]
[0.984;0.015;0.002]
[0.987;0.012;0.001]
[0.989;0.010;0.001]
[0.991;0.008;0.001]
[0.993;0.006;0.001]
[0.994;0.005;0.000]
[0.996;0.004;0.000]
[0.996;0.003;0.000]
[0.997;0.003;0.000]
[0.998;0.002;0.000]
[0.998;0.002;0.000]
[0.998;0.001;0.000]
[0.789;0.158;0.052]
[0.825;0.134;0.041]
[0.856;0.113;0.032]
[0.882;0.094;0.024]
[0.903;0.078;0.019]
[0.921;0.065;0.014]
[0.936;0.053;0.011]
[0.948;0.044;0.008]
[0.958;0.036;0.006]
[0.966;0.029;0.005]
[0.973;0.024;0.003]
[0.978;0.019;0.003]
[0.982;0.016;0.002]
[0.986;0.013;0.001]
[0.989;0.010;0.001]
[0.991;0.008;0.001]
[0.993;0.007;0.001]
[0.994;0.006;0.000]
[0.995;0.005;0.000]
[0.996;0.004;0.000]
[0.997;0.003;0.000]
[0.997;0.002;0.000]
[0.998;0.002;0.000]
[0.998;0.002;0.000]
[0.999;0.001;0.000]
[0.999;0.001;0.000]
9
APPENDIX S3.—B) Results of dietary simulations for Sturnira lilium estimated from model parameters. The composition diet vectors for
each combinations of latitude and altitude correspond to [Solanum; Piper; others fruits]. Latitude is expressed in decimal degrees and
altitude in meters above sea level.
Altitude
500
600
700
800
900
1000
1100
1200
1300
1400
1500
1600
1700
1800
1900
2000
2100
2200
2300
2400
2500
2600
2700
2800
2900
3000
Latitude
-20
[0.267;0.613;0.120]
[0.325;0.558;0.117]
[0.388;0.499;0.113]
[0.455;0.438;0.107]
[0.524;0.377;0.099]
[0.591;0.319;0.090]
[0.655;0.264;0.081]
[0.714;0.215;0.071]
[0.766;0.173;0.061]
[0.811;0.137;0.052]
[0.849;0.107;0.044]
[0.88;0.0830;0.037]
[0.905;0.064;0.030]
[0.926;0.049;0.025]
[0.942;0.037;0.021]
[0.955;0.028;0.017]
[0.965;0.021;0.014]
[0.973;0.016;0.011]
[0.979;0.012;0.009]
[0.984;0.009;0.007]
[0.987;0.007;0.006]
[0.990;0.005;0.005]
[0.992;0.004;0.004]
[0.994;0.003;0.003]
[0.995;0.002;0.003]
[0.996;0.002;0.002]
-21
[0.293;0.581;0.126]
[0.353;0.525;0.122]
[0.418;0.465;0.117]
[0.486;0.405;0.109]
[0.554;0.345;0.100]
[0.620;0.289;0.091]
[0.682;0.238;0.080]
[0.738;0.192;0.070]
[0.787;0.153;0.060]
[0.828;0.121;0.051]
[0.863;0.094;0.043]
[0.892;0.073;0.036]
[0.915;0.056;0.029]
[0.933;0.043;0.024]
[0.948;0.032;0.020]
[0.959;0.025;0.016]
[0.968;0.019;0.013]
[0.975;0.014;0.011]
[0.981;0.011;0.009]
[0.985;0.008;0.007]
[0.988;0.006;0.006]
[0.991;0.004;0.005]
[0.993;0.003;0.004]
[0.995;0.003;0.003]
[0.996;0.002;0.002]
[0.997;0.001;0.002]
-22
[0.320;0.549;0.131]
[0.382;0.491;0.127]
[0.449;0.432;0.120]
[0.517;0.372;0.111]
[0.584;0.315;0.101]
[0.648;0.261;0.090]
[0.707;0.213;0.080]
[0.760;0.171;0.069]
[0.805;0.136;0.059]
[0.844;0.107;0.050]
[0.876;0.083;0.042]
[0.902;0.064;0.034]
[0.923;0.049;0.028]
[0.940;0.037;0.023]
[0.953;0.028;0.019]
[0.963;0.021;0.016]
[0.971;0.016;0.013]
[0.978;0.012;0.010]
[0.983;0.009;0.008]
[0.986;0.007;0.007]
[0.989;0.005;0.005]
[0.992;0.004;0.004]
[0.994;0.003;0.004]
[0.995;0.002;0.003]
[0.996;0.002;0.002]
[0.997;0.001;0.002]
-23
[0.347;0.516;0.137]
[0.412;0.458;0.130]
[0.479;0.398;0.122]
[0.547;0.340;0.112]
[0.613;0.285;0.102]
[0.675;0.235;0.090]
[0.731;0.190;0.079]
[0.780;0.152;0.068]
[0.823;0.120;0.057]
[0.858;0.094;0.048]
[0.887;0.072;0.040]
[0.911;0.056;0.033]
[0.930;0.043;0.027]
[0.945;0.032;0.022]
[0.957;0.025;0.018]
[0.967;0.019;0.015]
[0.974;0.014;0.012]
[0.980;0.011;0.010]
[0.984;0.008;0.008]
[0.988;0.006;0.006]
[0.990;0.004;0.005]
[0.992;0.003;0.004]
[0.994;0.003;0.003]
[0.995;0.002;0.003]
[0.996;0.001;0.002]
[0.997;0.001;0.002]
-24
[0.376;0.483;0.141]
[0.442;0.424;0.134]
[0.509;0.366;0.124]
[0.577;0.310;0.113]
[0.641;0.258;0.102]
[0.700;0.211;0.089]
[0.753;0.170;0.077]
[0.799;0.135;0.066]
[0.838;0.106;0.056]
[0.871;0.082;0.047]
[0.898;0.063;0.039]
[0.919;0.049;0.032]
[0.937;0.037;0.026]
[0.950;0.028;0.022]
[0.961;0.021;0.018]
[0.970;0.016;0.014]
[0.976;0.012;0.012]
[0.982;0.009;0.009]
[0.986;0.007;0.008]
[0.989;0.005;0.006]
[0.991;0.004;0.005]
[0.993;0.003;0.004]
[0.995;0.002;0.003]
[0.996;0.002;0.003]
[0.997;0.001;0.002]
[0.997;0.001;0.002]
-25
[0.405;0.450;0.146]
[0.472;0.392;0.137]
[0.539;0.335;0.126]
[0.605;0.281;0.114]
[0.667;0.232;0.101]
[0.723;0.188;0.088]
[0.773;0.151;0.076]
[0.816;0.119;0.065]
[0.853;0.093;0.054]
[0.883;0.072;0.045]
[0.907;0.055;0.038]
[0.927;0.042;0.031]
[0.942;0.032;0.025]
[0.955;0.024;0.021]
[0.965;0.018;0.017]
[0.972;0.014;0.014]
[0.978;0.010;0.011]
[0.983;0.008;0.009]
[0.987;0.006;0.007]
[0.990;0.004;0.006]
[0.992;0.003;0.005]
[0.994;0.002;0.004]
[0.995;0.002;0.003]
[0.996;0.001;0.002]
[0.997;0.001;0.002]
[0.998;0.001;0.002]
10
APPENDIX S3.—B) Continuation of the results of dietary simulations for Sturnira lilium.
Latitude
Altitude
-26
-27
-28
-29
-30
500
600
700
800
900
1000
1100
1200
1300
1400
1500
1600
1700
1800
1900
2000
2100
2200
2300
2400
2500
2600
2700
2800
2900
3000
[0.434;0.417;0.149]
[0.501;0.360;0.139]
[0.568;0.305;0.127]
[0.632;0.254;0.114]
[0.692;0.208;0.100]
[0.745;0.168;0.087]
[0.792;0.133;0.075]
[0.832;0.105;0.063]
[0.865;0.082;0.053]
[0.893;0.063;0.044]
[0.915;0.048;0.036]
[0.933;0.037;0.030]
[0.948;0.028;0.024]
[0.959;0.021;0.020]
[0.968;0.016;0.016]
[0.975;0.012;0.013]
[0.980;0.009;0.011]
[0.985;0.007;0.009]
[0.988;0.005;0.007]
[0.991;0.004;0.006]
[0.993;0.003;0.005]
[0.994;0.002;0.004]
[0.995;0.002;0.003]
[0.996;0.001;0.002]
[0.997;0.001;0.002]
[0.998;0.001;0.002]
[0.463;0.385;0.152]
[0.530;0.329;0.141]
[0.596;0.277;0.127]
[0.658;0.229;0.113]
[0.715;0.186;0.099]
[0.765;0.149;0.086]
[0.809;0.118;0.073]
[0.846;0.092;0.061]
[0.877;0.072;0.051]
[0.902;0.055;0.042]
[0.923;0.042;0.035]
[0.939;0.032;0.029]
[0.952;0.024;0.023]
[0.962;0.018;0.019]
[0.971;0.014;0.016]
[0.977;0.010;0.013]
[0.982;0.008;0.010]
[0.986;0.006;0.008]
[0.989;0.004;0.007]
[0.991;0.003;0.005]
[0.993;0.002;0.004]
[0.995;0.002;0.004]
[0.996;0.001;0.003]
[0.997;0.001;0.002]
[0.997;0.001;0.002]
[0.998;0.001;0.001]
[0.492;0.353;0.155]
[0.558;0.300;0.142]
[0.623;0.250;0.127]
[0.682;0.205;0.112]
[0.737;0.166;0.098]
[0.784;0.132;0.084]
[0.825;0.104;0.071]
[0.859;0.081;0.060]
[0.888;0.063;0.050]
[0.911;0.048;0.041]
[0.930;0.037;0.034]
[0.944;0.028;0.028]
[0.956;0.021;0.023]
[0.966;0.016;0.018]
[0.973;0.012;0.015]
[0.979;0.009;0.012]
[0.983;0.007;0.010]
[0.987;0.005;0.008]
[0.990;0.004;0.006]
[0.992;0.003;0.005]
[0.994;0.002;0.004]
[0.995;0.002;0.003]
[0.996;0.001;0.003]
[0.997;0.001;0.002]
[0.998;0.001;0.002]
[0.998;0.001;0.001]
[0.520;0.323;0.157]
[0.586;0.272;0.142]
[0.648;0.225;0.127]
[0.705;0.183;0.111]
[0.757;0.147;0.096]
[0.801;0.117;0.082]
[0.839;0.091;0.069]
[0.871;0.071;0.058]
[0.897;0.055;0.048]
[0.919;0.042;0.040]
[0.936;0.032;0.032]
[0.949;0.024;0.027]
[0.960;0.018;0.022]
[0.969;0.014;0.018]
[0.975;0.010;0.014]
[0.981;0.008;0.012]
[0.985;0.006;0.009]
[0.988;0.004;0.008]
[0.991;0.003;0.006]
[0.993;0.002;0.005]
[0.994;0.002;0.004]
[0.995;0.001;0.003]
[0.996;0.001;0.003]
[0.997;0.001;0.002]
[0.998;0.001;0.002]
[0.998;0.000;0.001]
[0.548;0.294;0.158]
[0.612;0.246;0.142]
[0.672;0.202;0.126]
[0.727;0.163;0.109]
[0.775;0.130;0.094]
[0.817;0.103;0.080]
[0.853;0.080;0.067]
[0.882;0.062;0.056]
[0.906;0.048;0.046]
[0.925;0.037;0.038]
[0.941;0.028;0.031]
[0.953;0.021;0.026]
[0.963;0.016;0.021]
[0.971;0.012;0.017]
[0.977;0.009;0.014]
[0.982;0.007;0.011]
[0.986;0.005;0.009]
[0.989;0.004;0.007]
[0.991;0.003;0.006]
[0.993;0.002;0.005]
[0.995;0.002;0.004]
[0.996;0.001;0.003]
[0.997;0.001;0.002]
[0.997;0.001;0.002]
[0.998;0.001;0.002]
[0.998;0.000;0.001]
11