Registros de Aechmea distichantha de dos bases de datos (ArgentiNat y Barberis et al., 2022) con información geográfica (coordenadas), unidad de vegetación (sensu Oyarzabal et al., 2018) y provincia de Argentina.
Fuente ArgentiNat: https://www.argentinat.org. Consultada: 14 enero 2025.
Fuente Barberis et al. (2022): https://doi.org/10.5061/dryad.x69p8czhw
| Conjunto de datos | Fuente | Código | Latitud | Longitud | Unidad | Provincia |
|---|---|---|---|---|---|---|
| ArgentiNat | dataset digital | 121242768 | -30.02190167 | -60.108225 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 92541523 | -30.0219 | -60.1085 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 213896645 | -30.021006 | -60.107454 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 92541488 | -30.02030833 | -60.10683667 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 121242750 | -30.02027833 | -60.10687167 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 106036323 | -30.02012 | -60.10669 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 91873539 | -30.018957 | -60.1060047 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 91873553 | -30.018957 | -60.1060047 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 91873560 | -30.018957 | -60.1060047 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 43480186 | -30.01592473 | -60.12185231 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 45407846 | -30.01592237 | -60.10055604 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 196319199 | -30.008018 | -60.09208 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 232832160 | -30.003113 | -60.092784 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 170683745 | -29.9207818 | -60.4510957 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 33395852 | -29.72583536 | -60.31397415 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 90479063 | -29.61235333 | -59.79303 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 45221317 | -29.57074029 | -59.77919205 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 254715201 | -29.47610666 | -60.20526031 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 168570282 | -29.46238 | -60.39736667 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 170065877 | -29.46235278 | -60.39739722 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 170065882 | -29.46228889 | -60.39488889 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 168579783 | -29.453989 | -60.394558 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 168562560 | -29.45369722 | -60.3960725 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 168562581 | -29.45333 | -60.38927861 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 170671662 | -29.4530325 | -60.3033883 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 170643478 | -29.45242997 | -60.30294897 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 168818439 | -29.45241075 | -60.38151358 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 168567877 | -29.45123175 | -60.39112662 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 128951449 | -29.439689 | -60.3811569 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 133205730 | -29.4394666 | -60.38257846 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 168560378 | -29.42443015 | -60.3808484 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 97072807 | -29.35533583 | -60.13656399 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 100434955 | -29.34754722 | -60.23200556 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 141978648 | -29.34583333 | -60.24872778 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 229969854 | -29.34370105 | -60.23836803 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 197642324 | -29.30706423 | -59.03598038 | 17 | Corrientes |
| ArgentiNat | dataset digital | 143262391 | -29.30540556 | -60.21705556 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 172354509 | -29.29262069 | -60.24243009 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 99559006 | -29.26736914 | -60.10287656 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 189100188 | -29.2405161 | -58.92995191 | 17 | Corrientes |
| ArgentiNat | dataset digital | 188387793 | -29.1442242 | -59.2643242 | 17 | Corrientes |
| ArgentiNat | dataset digital | 179456294 | -29.11532365 | -59.24007868 | 17 | Corrientes |
| ArgentiNat | dataset digital | 188386340 | -29.06584908 | -59.64263566 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 243357047 | -28.997604 | -59.7446934 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 243359851 | -28.9973886 | -59.7452849 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 243361832 | -28.99224683 | -59.73273642 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 70211191 | -28.9360058 | -59.48061277 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 209502803 | -28.82513611 | -60.2739 | 16 | Santa Fe |
| ArgentiNat | dataset digital | 68596744 | -28.816363 | -60.315151 | 16 | Santa Fe |
| ArgentiNat | dataset digital | 162286801 | -28.72069234 | -59.39134585 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 212883361 | -28.71898185 | -59.39097036 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 107792110 | -28.26466332 | -59.42414179 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 107738382 | -28.19798333 | -59.45463 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 178370281 | -28.03170915 | -59.23122167 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 249838102 | -28.02961096 | -59.21400184 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 195097514 | -28.0290619 | -59.2172209 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 189227434 | -28.02842601 | -59.21688695 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 181270936 | -28.01564084 | -59.69066936 | 15 | Santa Fe |
| ArgentiNat | dataset digital | 196396850 | -27.73176097 | -58.79933037 | 15 | Corrientes |
| ArgentiNat | dataset digital | 139678339 | -27.551941 | -58.823877 | 15 | Corrientes |
| ArgentiNat | dataset digital | 165260733 | -27.55183034 | -58.8258487 | 15 | Corrientes |
| ArgentiNat | dataset digital | 238839158 | -27.5507735 | -58.8122493 | 15 | Corrientes |
| ArgentiNat | dataset digital | 184781206 | -27.4730049 | -58.7843883 | 15 | Corrientes |
| ArgentiNat | dataset digital | 245348725 | -27.46967895 | -58.77450317 | 15 | Corrientes |
| ArgentiNat | dataset digital | 77544570 | -27.45217776 | -58.66112756 | 15 | Corrientes |
| ArgentiNat | dataset digital | 190696596 | -27.42624985 | -59.21493531 | 15 | Chaco |
| ArgentiNat | dataset digital | 83995311 | -27.42446553 | -59.21336846 | 15 | Chaco |
| ArgentiNat | dataset digital | 138747590 | -27.41541739 | -58.95235945 | 15 | Chaco |
| ArgentiNat | dataset digital | 144127176 | -27.39084985 | -59.21459265 | 15 | Chaco |
| ArgentiNat | dataset digital | 76197744 | -27.38960104 | -58.98350827 | 15 | Chaco |
| ArgentiNat | dataset digital | 76595488 | -27.38960104 | -58.98350827 | 15 | Chaco |
| ArgentiNat | dataset digital | 77507264 | -27.389601 | -58.9835083 | 15 | Chaco |
| ArgentiNat | dataset digital | 134936158 | -27.389601 | -58.9835083 | 15 | Chaco |
| ArgentiNat | dataset digital | 183537821 | -27.389601 | -58.9835083 | 15 | Chaco |
| ArgentiNat | dataset digital | 190448475 | -27.389601 | -58.9835083 | 15 | Chaco |
| ArgentiNat | dataset digital | 61057155 | -27.389601 | -58.983508 | 15 | Chaco |
| ArgentiNat | dataset digital | 99480784 | -27.389601 | -58.983508 | 15 | Chaco |
| ArgentiNat | dataset digital | 19515780 | -27.38915346 | -58.98155932 | 15 | Chaco |
| ArgentiNat | dataset digital | 84792080 | -27.38865228 | -59.2167026 | 15 | Chaco |
| ArgentiNat | dataset digital | 73127839 | -27.38695279 | -58.98320178 | 15 | Chaco |
| ArgentiNat | dataset digital | 189290048 | -27.38671 | -58.98502597 | 15 | Chaco |
| ArgentiNat | dataset digital | 162689538 | -27.38652677 | -58.97983094 | 15 | Chaco |
| ArgentiNat | dataset digital | 162688649 | -27.3863416 | -58.97989575 | 15 | Chaco |
| ArgentiNat | dataset digital | 204957885 | -27.38581333 | -58.98051167 | 15 | Chaco |
| ArgentiNat | dataset digital | 99081665 | -27.37638889 | -58.68361111 | 15 | Corrientes |
| ArgentiNat | dataset digital | 146412863 | -27.34329521 | -58.95157509 | 15 | Corrientes |
| ArgentiNat | dataset digital | 146412869 | -27.34329521 | -58.95157509 | 15 | Corrientes |
| ArgentiNat | dataset digital | 97431112 | -27.34193833 | -58.60046333 | 15 | Corrientes |
| ArgentiNat | dataset digital | 146413463 | -27.33628231 | -58.96118757 | 15 | Chaco |
| ArgentiNat | dataset digital | 223275649 | -27.31332025 | -58.93632788 | 15 | Chaco |
| ArgentiNat | dataset digital | 173324280 | -27.31011333 | -59.00483612 | 15 | Chaco |
| ArgentiNat | dataset digital | 99977673 | -27.30366113 | -58.8930776 | 15 | Chaco |
| ArgentiNat | dataset digital | 170847944 | -27.297303 | -58.900102 | 15 | Chaco |
| ArgentiNat | dataset digital | 100882013 | -27.28916 | -59.050161 | 15 | Chaco |
| ArgentiNat | dataset digital | 41635247 | -27.23756065 | -58.96695476 | 15 | Chaco |
| ArgentiNat | dataset digital | 99348938 | -27.22415059 | -59.30124309 | 15 | Chaco |
| ArgentiNat | dataset digital | 143130266 | -27.204229 | -59.065591 | 15 | Chaco |
| ArgentiNat | dataset digital | 247405396 | -27.2015265 | -59.0564963 | 15 | Chaco |
| ArgentiNat | dataset digital | 197972943 | -27.1984311 | -59.0549979 | 15 | Chaco |
| ArgentiNat | dataset digital | 80397295 | -27.01990256 | -58.69320689 | 15 | Chaco |
| ArgentiNat | dataset digital | 77528771 | -26.8436806 | -59.6067802 | 15 | Chaco |
| ArgentiNat | dataset digital | 35933681 | -26.82180977 | -59.62066269 | 15 | Chaco |
| ArgentiNat | dataset digital | 50234481 | -26.82180972 | -59.62066306 | 15 | Chaco |
| ArgentiNat | dataset digital | 146268931 | -26.81662435 | -59.65222096 | 15 | Chaco |
| ArgentiNat | dataset digital | 146268936 | -26.81662435 | -59.65222096 | 15 | Chaco |
| ArgentiNat | dataset digital | 146269423 | -26.81662435 | -59.65222096 | 15 | Chaco |
| ArgentiNat | dataset digital | 146269536 | -26.81662435 | -59.65222096 | 15 | Chaco |
| ArgentiNat | dataset digital | 146269951 | -26.81662435 | -59.65222096 | 15 | Chaco |
| ArgentiNat | dataset digital | 146270429 | -26.81662435 | -59.65222096 | 15 | Chaco |
| ArgentiNat | dataset digital | 161384592 | -26.81175324 | -59.60908705 | 15 | Chaco |
| ArgentiNat | dataset digital | 19587923 | -26.81173075 | -59.60840085 | 15 | Chaco |
| ArgentiNat | dataset digital | 192679279 | -26.81092974 | -59.63223892 | 15 | Chaco |
| ArgentiNat | dataset digital | 138495143 | -26.80982645 | -59.61063247 | 15 | Chaco |
| ArgentiNat | dataset digital | 138490483 | -26.80326406 | -59.61239442 | 15 | Chaco |
| ArgentiNat | dataset digital | 44917454 | -26.79322034 | -59.61839251 | 15 | Chaco |
| ArgentiNat | dataset digital | 19311010 | -26.7932203 | -59.6183926 | 15 | Chaco |
| ArgentiNat | dataset digital | 131024028 | -26.7932203 | -59.6183926 | 15 | Chaco |
| ArgentiNat | dataset digital | 148186248 | -26.7932203 | -59.6183926 | 15 | Chaco |
| ArgentiNat | dataset digital | 5558475 | -26.793131 | -59.620054 | 15 | Chaco |
| ArgentiNat | dataset digital | 147352794 | -26.79138759 | -59.61760164 | 15 | Chaco |
| ArgentiNat | dataset digital | 245674767 | -26.78475518 | -59.62807864 | 15 | Chaco |
| ArgentiNat | dataset digital | 100879918 | -26.762831 | -58.738029 | 15 | Chaco |
| ArgentiNat | dataset digital | 232534821 | -26.76154813 | -59.61419747 | 15 | Chaco |
| ArgentiNat | dataset digital | 100095249 | -26.7153761 | -59.00368575 | 15 | Chaco |
| ArgentiNat | dataset digital | 36890663 | -26.68722153 | -60.6594429 | 13 | Chaco |
| ArgentiNat | dataset digital | 181724681 | -26.55259036 | -58.48962103 | 15 | Formosa |
| ArgentiNat | dataset digital | 156894683 | -26.53174413 | -58.27547115 | 14 | Formosa |
| ArgentiNat | dataset digital | 175824195 | -26.50615894 | -58.29103861 | 14 | Formosa |
| ArgentiNat | dataset digital | 83300538 | -26.33935067 | -58.21574272 | 14 | Formosa |
| ArgentiNat | dataset digital | 249817569 | -26.33100833 | -60.087075 | 14 | Formosa |
| ArgentiNat | dataset digital | 101779159 | -26.32785398 | -58.22844134 | 14 | Formosa |
| ArgentiNat | dataset digital | 245657932 | -26.30432932 | -58.81730516 | 15 | Formosa |
| ArgentiNat | dataset digital | 178904601 | -26.28092892 | -58.27170172 | 14 | Formosa |
| ArgentiNat | dataset digital | 2445258 | -26.275407 | -59.971447 | 13 | Formosa |
| ArgentiNat | dataset digital | 108970497 | -26.26695924 | -59.99266505 | 13 | Formosa |
| ArgentiNat | dataset digital | 190067044 | -26.266799 | -58.2337221 | 14 | Formosa |
| ArgentiNat | dataset digital | 190078524 | -26.2652388 | -58.2132557 | 14 | Formosa |
| ArgentiNat | dataset digital | 190068173 | -26.2652292 | -58.2110111 | 14 | Formosa |
| ArgentiNat | dataset digital | 187916059 | -26.2463309 | -58.2800431 | 14 | Formosa |
| ArgentiNat | dataset digital | 43604727 | -26.22951517 | -58.3104098 | 14 | Formosa |
| ArgentiNat | dataset digital | 43604728 | -26.22951517 | -58.3104098 | 14 | Formosa |
| ArgentiNat | dataset digital | 19310902 | -26.04771219 | -59.94170916 | 13 | Chaco |
| ArgentiNat | dataset digital | 241857743 | -25.98136492 | -58.16658597 | 14 | Formosa |
| ArgentiNat | dataset digital | 234170433 | -25.819074 | -60.51177897 | 13 | Chaco |
| ArgentiNat | dataset digital | 36359497 | -25.777389 | -60.53302 | 13 | Chaco |
| ArgentiNat | dataset digital | 139148099 | -25.260699 | -61.045665 | 13 | Chaco |
| ArgentiNat | dataset digital | 64877135 | -25.233251 | -58.74835933 | 14 | Formosa |
| ArgentiNat | dataset digital | 145496634 | -25.22005 | -59.85308611 | 13 | Formosa |
| ArgentiNat | dataset digital | 130924578 | -25.12563889 | -58.242875 | 14 | Formosa |
| ArgentiNat | dataset digital | 130926198 | -25.12363333 | -58.17571944 | 14 | Formosa |
| ArgentiNat | dataset digital | 229587155 | -25.123485 | -58.17608833 | 14 | Formosa |
| ArgentiNat | dataset digital | 98591947 | -25.106503 | -58.153435 | 14 | Formosa |
| ArgentiNat | dataset digital | 161293463 | -25.10555081 | -58.15361802 | 14 | Formosa |
| ArgentiNat | dataset digital | 53172075 | -25.0722457 | -58.1409859 | 14 | Formosa |
| ArgentiNat | dataset digital | 239834292 | -25.0722457 | -58.1409859 | 14 | Formosa |
| Barberis et al., 2022 | bibliografía | ID-Ref 079 | -29.8044 | -60.2791 | 15 | Santa Fe |
| Barberis et al., 2022 | especimen herbario | Lewis 1272, UNR | -29.5727 | -60.363 | 15 | Santa Fe |
| Barberis et al., 2022 | bibliografía | ID-Ref 301 | -29.5631 | -60.355 | 15 | Santa Fe |
| Barberis et al., 2022 | bibliografía | ID-Ref 079 | -29.4761 | -59.9858 | 15 | Santa Fe |
| Barberis et al., 2022 | bibliografía | ID-Ref 405 | -29.45 | -60.3833 | 15 | Santa Fe |
| Barberis et al., 2022 | bibliografía | ID-Ref 231 | -29.4294 | -60.3548 | 15 | Santa Fe |
| Barberis et al., 2022 | especimen herbario | Lewis 877, UNR | -29.4254 | -60.3597 | 15 | Santa Fe |
| Barberis et al., 2022 | bibliografía | ID-Ref 351 | -29.4046 | -60.0839 | 15 | Santa Fe |
| Barberis et al., 2022 | bibliografía | ID-Ref 301 | -29.3756 | -60.1208 | 15 | Santa Fe |
| Barberis et al., 2022 | bibliografía | ID-Ref 301 | -29.3703 | -60.1875 | 15 | Santa Fe |
| Barberis et al., 2022 | bibliografía | ID-Ref 359 | -29.1518 | -59.7622 | 15 | Santa Fe |
| Barberis et al., 2022 | información personal | Mogni, V. Y., UNR | -29.0472 | -59.6438 | 15 | Santa Fe |
| Barberis et al., 2022 | dataset digital | 173490,G | -28.93 | -60.48 | 16 | Santa Fe |
| Barberis et al., 2022 | bibliografía | ID-Ref 231 | -28.875 | -60.125 | 16 | Santa Fe |
| Barberis et al., 2022 | bibliografía | ID-Ref 231 | -28.875 | -59.75 | 15 | Santa Fe |
| Barberis et al., 2022 | especimen herbario | Lewis 1027, UNR | -28.7833 | -60.6833 | 16 | Santa Fe |
| Barberis et al., 2022 | especimen herbario | Lewis 1263, UNR | -28.7775 | -60.6891 | 16 | Santa Fe |
| Barberis et al., 2022 | bibliografía | ID-Ref 301 | -28.3881 | -59.9344 | 15 | Santa Fe |
| Barberis et al., 2022 | bibliografía | ID-Ref 231 | -28.375 | -60.25 | 16 | Santa Fe |
| Barberis et al., 2022 | dataset digital | 1720704, MO | -28.36 | -58.03 | 17 | Corrientes |
| Barberis et al., 2022 | dataset digital | 604562, MO | -28.36 | -58.03 | 17 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 301 | -28.2572 | -59.6117 | 15 | Santa Fe |
| Barberis et al., 2022 | bibliografía | ID-Ref 359 | -28.0396 | -58.0936 | 17 | Corrientes |
| Barberis et al., 2022 | dataset digital | 178738, WU | -28.0322 | -58.1066 | 17 | Corrientes |
| Barberis et al., 2022 | dataset digital | 604578, MO | -28.0322 | -58.1066 | 17 | Corrientes |
| Barberis et al., 2022 | dataset digital | P01745510, MNHN | -28.0212 | -58.1068 | 17 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 255 | -28.0167 | -58.0167 | 17 | Corrientes |
| Barberis et al., 2022 | dataset digital | 2491810, MO | -27.99 | -58.18 | 17 | Corrientes |
| Barberis et al., 2022 | dataset digital | 14280,SI | -27.9324 | -61.055 | 13 | Chaco |
| Barberis et al., 2022 | bibliografía | ID-Ref 359 | -27.9214 | -58.7674 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 243 | -27.6278 | -58.7484 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 243 | -27.6267 | -58.7417 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 359 | -27.5775 | -60.5498 | 15 | Chaco |
| Barberis et al., 2022 | bibliografía | ID-Ref 089 | -27.5667 | -58.6833 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 381 | -27.5611 | -58.7258 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 359 | -27.56 | -60.5094 | 15 | Chaco |
| Barberis et al., 2022 | bibliografía | ID-Ref 075 | -27.5453 | -58.6731 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 351 | -27.5452 | -58.6728 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 243 | -27.5387 | -58.4578 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 243 | -27.5314 | -58.8032 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 243 | -27.5259 | -58.4364 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 317 | -27.5167 | -58.6833 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 170 | -27.5 | -58.75 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 243 | -27.4978 | -58.6794 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 243 | -27.4961 | -58.6742 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 381 | -27.4958 | -58.6867 | 15 | Corrientes |
| Barberis et al., 2022 | información personal | Oakley, L. J., UNR | -27.4847 | -58.6048 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 359 | -27.4719 | -58.7718 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 243 | -27.4547 | -58.6243 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 131 | -27.4472 | -58.9279 | 15 | Chaco |
| Barberis et al., 2022 | bibliografía | ID-Ref 243 | -27.44 | -58.7716 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 072 | -27.4322 | -58.7467 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 187 | -27.4322 | -58.7467 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 243 | -27.4307 | -58.7497 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 381 | -27.4283 | -58.7492 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 243 | -27.427 | -58.6243 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 359 | -27.4197 | -59.1087 | 15 | Chaco |
| Barberis et al., 2022 | bibliografía | ID-Ref 131 | -27.3836 | -58.6965 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 171 | -27.3833 | -58.9667 | 15 | Chaco |
| Barberis et al., 2022 | bibliografía | ID-Ref 131 | -27.3456 | -58.9678 | 15 | Chaco |
| Barberis et al., 2022 | bibliografía | ID-Ref 243 | -27.3343 | -58.2391 | 15 | Corrientes |
| Barberis et al., 2022 | bibliografía | ID-Ref 013 | -27.3333 | -58.9336 | 15 | Chaco |
| Barberis et al., 2022 | bibliografía | ID-Ref 359 | -27.3254 | -58.9208 | 15 | Chaco |
| Barberis et al., 2022 | bibliografía | ID-Ref 114 | -27.3183 | -58.9508 | 15 | Chaco |
| Barberis et al., 2022 | información personal | Oakley et al., UNR | -27.3073 | -60.9948 | 13 | Chaco |
| Barberis et al., 2022 | bibliografía | ID-Ref 367 | -27.1667 | -58.9667 | 15 | Chaco |
| Barberis et al., 2022 | dataset digital | 1720715, MO | -27.14 | -59.35 | 15 | Chaco |
| Barberis et al., 2022 | dataset digital | 604074, MO | -27.14 | -59.35 | 15 | Chaco |
| Barberis et al., 2022 | bibliografía | ID-Ref 328 | -27.0667 | -59.75 | 15 | Chaco |
| Barberis et al., 2022 | bibliografía | ID-Ref 359 | -27.0639 | -58.6629 | 15 | Chaco |
| Barberis et al., 2022 | bibliografía | ID-Ref 359 | -27.033 | -58.6606 | 15 | Chaco |
| Barberis et al., 2022 | bibliografía | ID-Ref 105 | -27.0256 | -59.6333 | 15 | Chaco |
| Barberis et al., 2022 | bibliografía | ID-Ref 013 | -26.9 | -58.75 | 15 | Chaco |
| Barberis et al., 2022 | dataset digital | K000322202, G | -26.7661 | -60.467 | 13 | Chaco |
| Barberis et al., 2022 | bibliografía | ID-Ref 073 | -26.75 | -59.6167 | 15 | Chaco |
| Barberis et al., 2022 | bibliografía | ID-Ref 351 | -26.7254 | -59.5046 | 15 | Chaco |
| Barberis et al., 2022 | bibliografía | ID-Ref 053 | -26.7029 | -59.123 | 15 | Chaco |
| Barberis et al., 2022 | bibliografía | ID-Ref 099 | -26.5556 | -58.4558 | 15 | Formosa |
| Barberis et al., 2022 | dataset digital | 37034,R | -26.46 | -58.57 | 15 | Formosa |
| Barberis et al., 2022 | bibliografía | ID-Ref 079 | -26.2402 | -58.2669 | 14 | Formosa |
| Barberis et al., 2022 | dataset digital | 376386, NY | -26.18 | -58.95 | 15 | Formosa |
| Barberis et al., 2022 | dataset digital | 477049, |