Site hosts
MASTIF is a network that relies on networks. National Parks and National Forests, NSF-sponsored sites, biological field stations, and non-profits like The Nature Conservancy collectively span the most stunning landscapes, while offering many of the most critical habitats on the continent. Without the generous support of our hosts this ambitious network would not have been possible.
The National Ecological Observation Network (NEON), constructed by the National Science Foundation and now administered by Battelle Corporation, includes sites where we have initiated new sampling, adding to NEON vegetation structure plots (DSNY, HARV, MLBS, NIWO, OSBS, SERC, SOAP, TALL, TREE, UKFS, UNDE, WREF, YELL). Sampling at some MASTIF sites predates NEON, either by us (GRSM, HARV), in collaboration with Mike Dietze (BART, UNDE), or by others in the MASTIF network (Brockway, Bragg, Guo’s network includes JERC and OSBS; Veblen and Andrus at NIWO). As discussed on site pages, NEON does not own sites, but rather facilitates research through their permits from host organizations.
Long-term Ecological Research (LTER), also an NSF program, has supported MASTIF sites at BONA/BNZ, CWT, HARV, HBEF, NIWO, and SEV.
The Nature Conservancy has accommodated us at Disney Wilderness Preserve (DSNY), Callaway Forest Preserve (CALL), and the Green Swamp Preserve (GRSW). Other non-profits that combine research and land stewardship include Hastings Natural History Reservation (HNHR), Jones Ecological Research Center (JERC), and Tall Timbers Research Station (TTRS).
Smithsonian Institution facilities at the Smithsonian Conservation Biology Institute (SCBI) and the Smithsonian Environmental Research Center (SERC) host MASTIF sites.
National Parks and National Monuments include Capulin Mountain (CMNM), Great Smoky Mountains (GRSM), Mount Ranier (MORA), Yellowstone (YELL), and Yosemite (YOSE).
National Forests accommodate sites in the MASTIF network at Apalachicola (APNF), Croatan (CROA), Gifford Pinchot (WREF), Kisatchie (KINF), Pisgah (PISG), Sequoia (SEQU), Sierra (SOAP), and Talladega (TALL).
University stations include Duke Forest (DUKE), Harvard Forest (HARV), Mountain Lake Biological Station (MLBS), Institute of Arctic and Alpine Research (NIWO), University of Kansas Field Station (UKFS), Ordway-Swisher Biological Station (OSBS), Treehaven (TREE), Tyson Research Center (WUSL), University of California at Santa Cruz (UCSC), University of Michigan Biological Station (UMBS), and University of Notre Dame Research Center (UNDE).
USFS Experimental Forests include Bartlett Experimental Forest (BART), Bent Creek Experimental Forest (BCEF), Coweeta Hydrologic Lab (CWT), Escambia Experimental Forest (EEF), Hubbard Brook Experimental Forest (HBEF), and Wind River Experimental Forest (WREF).
Additional MASTIF sites are hosted by state forests and military bases (EAFB, FBMB).
The PIs who have contributed data to the MASTIF data set are identified with codes in the site table that are listed here.
The table below lists sites with acronyms used in maps and tables. They are ordered by ecoRegion and site name. The columns indicate sample sizes, including crop counts on trees (cropCnt) and seeds counted in traps (trapCnt). Observations entering through the iNaturalist project MASTIF are indicated in the PI column and aggregated for summary here by municipality (e.g., by state in the USA). Ecoregions follow WWF.
municipality | plots | trees | treeYr | cropCnt | trapCnt | ||
---|---|---|---|---|---|---|---|
Aegean W Turkey sclerophyllous mixed forests | |||||||
Maced, iNat | Maced, GRC | 10 | 158 | 226 | 12579 | ||
PNPG, EvDa | Attiki, GRC | 13 | 130 | 1170 | 9834 | ||
Thess, iNat | Thess, GRC | 9 | 135 | 224 | 13424 | ||
Alps conifer mixed forests | |||||||
BELLE, GeKu, BeCo | Isere, FRA | 18 | 1501 | 19471 | 132218 | 1455 | |
Koros, iNat | Koros, SVN | 7 | 55 | 162 | 4555 | ||
Lomba, iNat | Lomba, ITA | 5 | 97 | 297 | 408256 | ||
PNPP, DaAs, ReMo, RoBe, GiVa | Sudtirol, ITA | 7 | 402 | 12088 | 19042 | 73024 | |
Podra, iNat | Podra, SVN | 8 | 61 | 152 | 23986 | ||
RNNPT, LaDo | Savoie, FRA | 2 | 31 | 961 | 56636 | ||
ROTH, GeGr | Neudoerfl, AUT | 2 | 3563 | 67697 | 19448 | ||
Savin, iNat | Savin, SVN | 4 | 127 | 268 | 160528 | ||
Appalachian Blue Ridge forests | |||||||
BCEF, CaGr | NC, USA | 10 | 318 | 6940 | 60379 | ||
CWT, JaCl | NC, USA | 7 | 15787 | 394349 | 25079 | 890972 | |
EPENN, MiSt | PA, USA | 3 | 135 | 2715 | 4967 | ||
GRAN, CaGr | NC, USA | 6 | 43 | 860 | 3770 | ||
GRSM, JaCl | TN, USA | 3 | 4721 | 51931 | 117314 | ||
MARS, JaCl, ScPe | NC, USA | 2 | 2381 | 42858 | 8641 | 21148 | |
MLBS, JaCl | VA, USA | 10 | 382 | 1528 | 1791 | 5954 | |
PISG, CaGr | NC, USA | 21 | 124 | 2476 | 21489 | ||
SCBI, BiMc | VA, USA | 1 | 37559 | 496349 | |||
TN, iNat | TN, USA | 2 | 9 | 9 | 735 | ||
VA, iNat | VA, USA | 7 | 130 | 298 | 42630 | ||
Appalachian mixed mesophytic forests | |||||||
KY, iNat | KY, USA | 5 | 42 | 126 | 3366 | ||
WV, iNat | WV, USA | 3 | 33 | 47 | 15319 | ||
Appenine deciduous montane forests | |||||||
CHIUSI, FrCh, AnCu | Arezzo, ITA | 2 | 117 | 3225 | 17202 | ||
Arizona Mountains forests | |||||||
MOPA, MiRe | NM, USA | 1 | 11 | 390 | 318 | ||
REMO, AmWh, CaGe, ThWh | AZ, USA | 3 | 98 | 2618 | 9734 | ||
SICI, AnWi, MiRe | NM, USA | 2 | 12 | 228 | 415 | ||
WHIT, AnWi, MiRe | NM, USA | 3 | 20 | 380 | 617 | ||
WINO, AmWh, CaGe, ThWh | AZ, USA | 3 | 62 | 1658 | 2690 | ||
Atlantic mixed forests | |||||||
Aquit, iNat | Aquit, FRA | 3 | 30 | 36 | 2114 | ||
BARBEAU, NiDe, DaBe | Ile-de-France, FRA | 4 | 713 | 3565 | 3869 | ||
BISCA, ArGu | Landes, FRA | 1 | 27 | 216 | 397 | ||
Ilede, iNat | Ilede, FRA | 18 | 621 | 1219 | 125636 | ||
LACA, ArGu | Gironde, FRA | 1 | 35 | 280 | 362 | ||
LECP, ArGu | Gironde, FRA | 1 | 44 | 352 | 1079 | ||
OPTIO, AnMa | Centre-Val de Loire, FRA | 3 | 433 | 986 | 1032 | ||
SEEBO, ArGu | Landes, FRA | 1 | 39 | 312 | 386 | ||
SJEBO, ArGu | Landes, FRA | 1 | 35 | 280 | 274 | ||
Wallo, iNat | Wallo, BEL | 4 | 25 | 31 | 700 | ||
British Columbia mainland coastal forests | |||||||
GLCR1, JeFr | WA, USA | 1 | 41 | 2067 | 15910 | ||
GLCR2, JeFr | WA, USA | 1 | 36 | 1747 | 21424 | ||
HEME, JeFr | WA, USA | 1 | 31 | 1482 | 141071 | ||
STPA, JeFr | WA, USA | 2 | 107 | 5866 | 130988 | ||
California montane chaparral woodlands | |||||||
CA, iNat | CA, USA | 59 | 796 | 2040 | 197426 | ||
HNHR, JeKn, WaKo | CA, USA | 1 | 40 | 1200 | 1884 | ||
Carpathian montane forests | |||||||
BGNP, MaZy, LuPi, BaSe, MaLe | Namestova, POL | 15 | 364 | 7996 | 10142473 | ||
Cascade Mountains leeward forests | |||||||
TUCR, JeFr | WA, USA | 2 | 81 | 3698 | 110046 | ||
Celtic broadleaf forests | |||||||
BENWE, AnHa | Gateshead, GBR | 1 | 10 | 324 | 32299 | ||
CONGL, AnHa | Cheshire East, GBR | 1 | 8 | 24 | 812 | ||
GILLF, AnHa | North Yorkshire, GBR | 1 | 15 | 40 | 1965 | ||
HIMLE, AnHa | Staffordshire, GBR | 1 | 5 | 165 | 15147 | ||
KEELE, AnHa | Staffordshire, GBR | 1 | 10 | 30 | 2387 | ||
KILLE, AnHa | Devon, GBR | 1 | 7 | 179 | 17971 | ||
RIPON, AnHa | North Yorkshire, GBR | 1 | 12 | 406 | 31084 | ||
SPENN, AnHa | Durham, GBR | 1 | 15 | 342 | 26607 | ||
WOODB, AnHa | Devon, GBR | 1 | 8 | 278 | 26346 | ||
Central Canadian Shield forests | |||||||
COCH, YvBe, YaMe | QC, CAN | 1 | 2 | 62 | 6920 | ||
LDUPT, YvBe, YaMe | QC, CAN | 1 | 2 | 60 | 8220 | ||
MASK, YvBe, YaMe | QC, CAN | 1 | 2 | 62 | 6934 | ||
Central European mixed forests | |||||||
BIALOW, ToPo | Bialowieza, POL | 1 | 29 | 377 | 4450 | ||
POL, iNat | POL, POL | 10 | 333 | 777 | 87759 | ||
Sachs, iNat | Sachs, DEU | 5 | 25 | 75 | 37448 | ||
VODER, ToPo | Prague East, CZE | 1 | 30 | 75 | 2321 | ||
Central forest grasslands transition | |||||||
IL, iNat | IL, USA | 29 | 432 | 573 | 41720 | ||
KS, iNat | KS, USA | 11 | 78 | 196 | 48809 | ||
MO, iNat | MO, USA | 28 | 145 | 295 | 13089 | ||
UKFS, JaCl | KS, USA | 6 | 157 | 605 | 913 | 6334 | |
WUSL, JoMy | MO, USA | 1 | 29761 | 270279 | 62683 | ||
Central Pacific coastal forests | |||||||
MAPK, JeFr | OR, USA | 1 | 38 | 1980 | 73206 | ||
Central Ranges xeric scrub | |||||||
LS, BoWr | Northern Territory, AUS | 3 | 12 | 36 | 2848 | ||
Central S Cascades forests | |||||||
BAMT, JeFr | WA, USA | 1 | 45 | 2028 | 18726 | ||
BERK, JeFr | OR, USA | 2 | 94 | 4582 | 117032 | ||
BLLK, JeFr | WA, USA | 1 | 35 | 1487 | 39313 | ||
DECU, JeFr | OR, USA | 1 | 30 | 1520 | 99136 | ||
IRMT, JeFr | OR, USA | 1 | 34 | 1663 | 28396 | ||
MOLK, JeFr | WA, USA | 1 | 50 | 2210 | 28471 | ||
MORA, JaHi | WA, USA | 15 | 7427 | 91123 | 279625 | ||
OR, iNat | OR, USA | 5 | 62 | 78 | 6838 | ||
PEPR, JeFr | WA, USA | 1 | 52 | 2756 | 87664 | ||
SAMT, JeFr | OR, USA | 1 | 30 | 1890 | 19466 | ||
SAPA, JeFr | OR, USA | 2 | 99 | 5006 | 85452 | ||
SIRK, JeFr | WA, USA | 1 | 31 | 1131 | 7231 | ||
SLBE, JeFr | WA, USA | 1 | 33 | 1577 | 17865 | ||
STMT, JeFr | WA, USA | 1 | 77 | 3566 | 121872 | ||
TIRD, JeFr | WA, USA | 1 | 27 | 1340 | 14893 | ||
WA, iNat | WA, USA | 19 | 205 | 342 | 56637 | ||
WIMT1, JeFr | OR, USA | 1 | 34 | 1634 | 35162 | ||
WIMT2, JeFr | OR, USA | 1 | 75 | 3069 | 55912 | ||
WISP, JeFr | OR, USA | 2 | 47 | 1757 | 23193 | ||
WREF, JaCl, JaHi | WA, USA | 11 | 29271 | 231557 | 76584 | 296456 | |
Central tall grasslands | |||||||
IA, iNat | IA, USA | 2 | 14 | 28 | 11919 | ||
MN, iNat | MN, USA | 2 | 10 | 10 | 5425 | ||
Chihuahuan desert | |||||||
FOBA, MiRe | NM, USA | 1 | 15 | 470 | 433 | ||
Colorado Plateau shrublands | |||||||
ALBU, AnWi, MiRe | NM, USA | 2 | 12 | 228 | 192 | ||
CEBO, AnWi, MiRe | NM, USA | 2 | 13 | 247 | 384 | ||
DOLO, AnWi, MiRe | CO, USA | 2 | 15 | 285 | 519 | ||
GLPA, AnWi, MiRe | CO, USA | 2 | 15 | 285 | 224 | ||
HOND, AnWi, MiRe, KyRo | NM, USA | 4 | 26 | 520 | 878 | ||
HOTC, AnWi, MiRe, KyRo | CO, USA | 2 | 14 | 266 | 373 | ||
LASA, AnWi, MiRe | CO, USA | 2 | 15 | 285 | 391 | ||
MAGD, AnWi, MiRe | NM, USA | 3 | 21 | 399 | 733 | ||
MONT, AnWi, MiRe | CO, USA | 2 | 13 | 247 | 330 | ||
NATU, AnWi, MiRe | CO, USA | 2 | 13 | 247 | 251 | ||
SEV, RoZl, DiMa | NM, USA | 2 | 300 | 6992 | 379142 | ||
SUCR, AmWh, CaGe, ThWh | AZ, USA | 5 | 526 | 14734 | 139916 | ||
Colorado Rockies forests | |||||||
BOCA, IaPe | CO, USA | 1 | 216 | 9936 | 157047 | ||
CANJ, AnWi, MiRe | NM, USA | 2 | 12 | 240 | 474 | ||
CO, iNat | CO, USA | 19 | 127 | 396 | 15332 | ||
HAYM, AnWi, MiRe | CO, USA | 5 | 28 | 560 | 1070 | ||
LAK, KyRo | NM, USA | 3 | 15 | 300 | 377 | ||
LV, MiRe | NM, USA | 1 | 11 | 390 | 354 | ||
MG, KyRo | CO, USA | 2 | 12 | 240 | 386 | ||
MON, KyRo | NM, USA | 3 | 17 | 340 | 473 | ||
MR, KyRo | CO, USA | 3 | 15 | 300 | 361 | ||
MVG, KyRo | NM, USA | 3 | 15 | 300 | 528 | ||
NIWO, JaCl | CO, USA | 13 | 5150 | 35706 | 1954 | 35832 | |
NM, iNat | NM, USA | 4 | 39 | 120 | 5405 | ||
PC, KyRo | NM, USA | 3 | 17 | 340 | 221 | ||
PECO, MiRe | NM, USA | 1 | 12 | 410 | 437 | ||
POND, AnWi, MiRe | NM, USA | 2 | 12 | 228 | 337 | ||
RATN, MiRe | NM, USA | 1 | 15 | 470 | 584 | ||
SAFE, AnWi, MiRe | NM, USA | 3 | 21 | 556 | 998 | ||
WACA, AnWi, MiRe | CO, USA | 1 | 5 | 100 | 247 | ||
WEMO, AnWi, MiRe | CO, USA | 2 | 14 | 280 | 470 | ||
Cross Sanaga Bioko coastal forests | |||||||
KNP, JuNo | Akwa Ibom, CMR | 1 | 143 | 518 | 22853 | ||
Dinaric Mountains mixed forests | |||||||
Goren, iNat | Goren, SVN | 12 | 78 | 150 | 18145 | ||
E forest boreal transition | |||||||
LMONT, YvBe, YaMe | QC, CAN | 1 | 2 | 63 | 13168 | ||
E Great Lakes lowland forests | |||||||
Quebec, iNat | QC, CAN | 11 | 82 | 211 | 24230 | ||
English Lowlands beech forests | |||||||
BEECH, AnHa | Cambridgeshire, GBR | 1 | 10 | 100 | 7014 | ||
BUCKH, AnHa | Gloucestershire, GBR | 1 | 8 | 320 | 17261 | ||
FISHH, AnHa | Worcestershire, GBR | 1 | 10 | 150 | 10632 | ||
NETTL, AnHa | Oxfordshire, GBR | 1 | 12 | 280 | 15962 | ||
PAINS, AnHa | Gloucestershire, GBR | 1 | 5 | 154 | 8244 | ||
PATCH, AnHa | Brighton and Hove, GBR | 1 | 11 | 253 | 32987 | ||
STP, MiFe, MiHa | England, GBR | 1 | 12 | 396 | 155859 | ||
Great Basin shrub steppe | |||||||
DSP, MiRe | NV, USA | 3 | 24 | 528 | 577 | ||
Guianan moist forests | |||||||
NOURA, JeCh | Regina, GUF | 1 | 9503 | 157445 | 24705 | ||
Iberian conifer forests | |||||||
Casti, iNat | Casti, ESP | 2 | 7 | 9 | 4268 | ||
Iberian sclerophyllous semi deciduous forests | |||||||
CARB, CaPe | Extremadura, ESP | 1 | 201 | 1005 | 14833 | ||
Comun, iNat | Comun, ESP | 3 | 12 | 38 | 546 | ||
Extre, iNat | Extre, ESP | 3 | 19 | 57 | 1892 | ||
HUEC, RaBo, MiBo | Toledo, ESP | 1 | 24 | 336 | 12101 | ||
SIOE, RaCa | Castile/Leon, ESP | 52 | 260 | 7005 | 48773 | ||
VALT, JoEs | Segovia, ESP | 17 | 450 | 10800 | 1284338 | ||
Illyrian deciduous forests | |||||||
Friul, iNat | Friul, ITA | 5 | 40 | 90 | 70155 | ||
Goris, iNat | Goris, SVN | 17 | 161 | 398 | 172678 | ||
Notra, iNat | Notra, SVN | 6 | 78 | 170 | 137574 | ||
Obaln, iNat | Obaln, SVN | 4 | 38 | 97 | 18972 | ||
Primo, iNat | Primo, HRV | 16 | 132 | 426 | 48302 | ||
Interior Alaska Yukon lowland taiga | |||||||
BONA, JiJo | AK, USA | 5 | 2290 | 91281 | 465455 | ||
EAPL, JiJo | YT, CAN | 4 | 20 | 300 | 1816 | ||
FAIR, JiJo | AK, USA | 11 | 54 | 810 | 1938 | ||
LAGE, JiJo | AK, USA | 4 | 18 | 270 | 555 | ||
Interior Yukon Alaska alpine tundra | |||||||
CHIC, JiJo | AK, USA | 3 | 16 | 240 | 973 | ||
LELA, JiJo | YT, CAN | 3 | 18 | 270 | 975 | ||
SMR, JiJo | YT, CAN | 2 | 6 | 90 | 792 | ||
Isthmian Atlantic moist forests | |||||||
BCI, JoWr | BCI, PAN | 1 | 423483 | 14485002 | 5714948 | ||
Italian sclerophyllous semi deciduous forests | |||||||
Prove, iNat | Prove, FRA | 21 | 559 | 1111 | 81506 | ||
Klamath Siskiyou forests | |||||||
ASRN, JeFr | OR, USA | 1 | 64 | 2390 | 30566 | ||
MEOV, JeFr | OR, USA | 1 | 62 | 2322 | 105776 | ||
Mid Atlantic coastal forests | |||||||
BLSF, DaBr | NC, USA | 1 | 16 | 458 | 3524 | ||
CALL, JaCl | NC, USA | 2 | 250 | 833 | 7566 | 723 | |
CROA, SuCo | NC, USA | 9 | 140 | 3080 | 97 | ||
GRSW, JaCl | NC, USA | 1 | 38 | 152 | 557 | ||
SASF, DaBr | SC, USA | 1 | 15 | 390 | 2683 | ||
SC, iNat | SC, USA | 5 | 71 | 150 | 42672 | ||
Mississippi lowland forests | |||||||
CHICK, JaSt, TeLe | TN, USA | 1 | 41 | 527 | 11065 | ||
DELTA, JaSt, TeLe | MS, USA | 3 | 68 | 920 | 9895 | ||
MINGO, JaSt, TeLe | MO, USA | 1 | 42 | 541 | 10743 | ||
TENAS, JaSt, TeLe | LA, USA | 1 | 38 | 469 | 3304 | ||
WHITE, JaSt, TeLe | AR, USA | 1 | 28 | 340 | 2270 | ||
Montana Valley Foothill grasslands | |||||||
Alber, iNat | Alber, CAN | 1 | 12 | 12 | 8285 | ||
WBPBLALE, ElMc | MT, USA | 1 | 11 | 437 | 1004 | ||
WBPVIPQUHI, ElMc | MT, USA | 1 | 7 | 337 | 769 | ||
N California coastal forests | |||||||
UCSC, GrGi, KaZh | CA, USA | 1 | 21504 | 315476 | 223426 | ||
N Central Rockies forests | |||||||
WBPALPHA, ElMc | State Not Found, USA | 1 | 1 | 35 | 11 | ||
WBPALPLA, ElMc | MT, USA | 1 | 2 | 66 | 81 | ||
WBPAPIFA, ElMc | MT, USA | 1 | 8 | 277 | 120 | ||
WBPBEARI, ElMc | ID, USA | 1 | 4 | 144 | 357 | ||
WBPBIG, ElMc | MT, USA | 1 | 4 | 115 | 237 | ||
WBPBURKN, ElMc | ID, USA | 1 | 7 | 253 | 476 | ||
WBPCHALL, ElMc | MT, USA | 1 | 5 | 231 | 481 | ||
WBPELKHO, ElMc | MT, USA | 1 | 11 | 457 | 910 | ||
WBPELKMO, ElMc | MT, USA | 1 | 12 | 341 | 306 | ||
WBPHELH, ElMc | ID, USA | 1 | 5 | 183 | 284 | ||
WBPMARST, ElMc | MT, USA | 1 | 8 | 307 | 463 | ||
WBPMINPE, ElMc | MT, USA | 1 | 5 | 217 | 631 | ||
WBPMORRE, ElMc | MT, USA | 1 | 8 | 266 | 682 | ||
WBPPARPA, ElMc | MT, USA | 1 | 5 | 176 | 147 | ||
WBPPOISI, ElMc | MT, USA | 1 | 5 | 180 | 351 | ||
WBPREDME, ElMc | MT, USA | 1 | 3 | 129 | 275 | ||
WBPSABMOB, ElMc | ID, USA | 1 | 8 | 309 | 478 | ||
WBPSALMO, ElMc | MT, USA | 1 | 5 | 221 | 352 | ||
WBPSPECH, ElMc | MT, USA | 1 | 1 | 26 | 17 | ||
WBPSQUAW, ElMc | MT, USA | 1 | 2 | 72 | 200 | ||
WBPSTARK, ElMc | MT, USA | 1 | 4 | 116 | 208 | ||
WBPTOMBE, ElMc | , USA | 1 | 6 | 169 | 351 | ||
N short grasslands | |||||||
SD, iNat | SD, USA | 5 | 34 | 82 | 6723 | ||
NE coastal forests | |||||||
CT, iNat | CT, USA | 2 | 9 | 18 | 163 | ||
MA, iNat | MA, USA | 6 | 26 | 72 | 23542 | ||
NY, iNat | NY, USA | 6 | 55 | 171 | 20956 | ||
PA, iNat | PA, USA | 3 | 28 | 42 | 2181 | ||
NE Spain S France Mediterranean forests | |||||||
Catalon, iNat | Catal, ESP | 15 | 106 | 209 | 12462 | ||
ISS, HeDa | Alpes-de-Haute-Provence, FRA | 5 | 105 | 1569 | 28659 | ||
NP, MaCa | Bouches-du-Rhône, FRA | 1 | 16 | 332 | 292 | ||
PUECHEXP1, JeLi, JeOu | Occitania, FRA | 3 | 334 | 5010 | 10785 | ||
RBI, ThBo | Provence-Alpes-Cote d’Azur, FRA | 1 | 54 | 864 | 174996 | ||
RBLL, HeDa | Alpes-de-Haute-Provence, FRA | 1 | 52 | 1034 | 5791 | ||
Rhone, iNat | Rhone, FRA | 111 | 2106 | 4159 | 946407 | ||
VALLI, FrLe, FrCo | Occitania, FRA | 3 | 190 | 3800 | 9606 | ||
VEN, HeDa | Vaucluse, FRA | 25 | 1314 | 22210 | 78152 | ||
VENT, HeDa | Vaucluse, FRA | 1 | 47 | 900 | 8617 | ||
VES, HeDa | Alpes-Maritimes, FRA | 6 | 112 | 1595 | 14828 | ||
New England Acadian forests | |||||||
ASWP, ChMo, JaCl | ME, USA | 1 | 838 | 2514 | 2108 | 55892 | |
BART, IsFe, MiDi | NH, USA | 4 | 4280 | 42587 | 25674 | ||
COMPT, WiSc | ME, USA | 1 | 32 | 96 | 102634 | ||
HARV, JaCl | MA, USA | 11 | 2980 | 29846 | 4 | 34006 | |
HBEF, TiFa, NaCl | NH, USA | 5 | 898 | 24067 | 1847 | 12400 | |
ME, iNat | ME, USA | 7 | 85 | 170 | 49051 | ||
NH, iNat | NH, USA | 19 | 121 | 135 | 9954 | ||
Nihonkai montane deciduous forests | |||||||
JNP, QiHa, DaKa, KyNo | Niigata, JPN | 1 | 86 | 602 | 4731 | ||
KANU, KaHo | Iwate, JPN | 2 | 2742 | 69155 | 1517768 | ||
NW Congolian lowland forests | |||||||
CONGO, JoPo, ChNu | COG | 30 | 4595 | 23165 | 128976 | ||
Pannonian mixed forests | |||||||
Burge, iNat | Burge, AUT | 1 | 1 | 3 | |||
Jugov, iNat | Jugov, SVN | 7 | 148 | 294 | 200701 | ||
Karlo, iNat | Karlo, HRV | 10 | 26 | 46 | |||
Osred, iNat | Osred, SVN | 53 | 567 | 1226 | 1874812 | ||
Pomur, iNat | Pomur, SVN | 4 | 71 | 177 | 272671 | ||
Spodn, iNat | Spodn, SVN | 1 | 1 | 1 | |||
Zasav, iNat | Zasav, SVN | 2 | 36 | 39 | 252 | ||
Peruvian Yungas | |||||||
ABERG, MiSi, WiFa | Kosnipata, PER | 18 | 16336 | 217691 | 107557 | ||
Piney Woods forests | |||||||
K , DaBr | LA, USA | 1 | 15 | 326 | 4950 | ||
Puerto Rican dry forests | |||||||
GUA, MaUr | PR, USA | 1 | 40707 | 212324 | 49257 | ||
Puerto Rican moist forests | |||||||
LUQ, MaUr | PR, USA | 1 | 15380 | 173865 | 503431 | ||
Puget lowland forests | |||||||
British Columbia, iNat | BC, CAN | 10 | 113 | 178 | 16799 | ||
Pyrenees conifer mixed forests | |||||||
Langu, iNat | Langu, FRA | 20 | 430 | 888 | 59761 | ||
MidiP, iNat | MidiP, FRA | 3 | 11 | 15 | 2666 | ||
PNP, SyDe, ThCa | New Aquitaine, FRA | 10 | 30 | 269 | 999968 | ||
PNVO, JeCa | Aragon, ESP | 2 | 102 | 1854 | 2540 | ||
S Central Rockies forests | |||||||
GYE, ErSh | MT, USA | 167 | 3869 | 34468 | 183648 | ||
MT, iNat | MT, USA | 4 | 24 | 26 | 3412 | ||
WBPBIGBE, ElMc | State Not Found, USA | 1 | 13 | 517 | 1224 | ||
WBPBLUEN, ElMc | ID, USA | 1 | 5 | 192 | 315 | ||
WBPFLINT, ElMc | MT, USA | 1 | 9 | 331 | 616 | ||
WBPGRANO, ElMc | MT, USA | 1 | 10 | 368 | 508 | ||
WBPGRAVE, ElMc | MT, USA | 1 | 12 | 475 | 496 | ||
WBPHENMO, ElMc | MT, USA | 1 | 13 | 466 | 795 | ||
WBPLITBE, ElMc | MT, USA | 1 | 16 | 568 | 960 | ||
WBPLOSTT, ElMc | MT, USA | 1 | 6 | 259 | 585 | ||
WBPMOSMO, ElMc | MT, USA | 1 | 9 | 325 | 588 | ||
WBPPALMO, ElMc | MT, USA | 1 | 8 | 306 | 486 | ||
WBPSKALK, ElMc | ID, USA | 1 | 5 | 168 | 282 | ||
WY, iNat | WY, USA | 11 | 88 | 197 | 7747 | ||
YELL, JaCl | WY, USA | 5 | 97 | 351 | 1295 | 1965 | |
S Great Lakes forests | |||||||
ANNA, InIb | MI, USA | 4 | 4495 | 54650 | 13338 | ||
S Island temperate forests | |||||||
WAITU, ElWr | Regina, NZL | 6 | 11656 | 151528 | 167644 | ||
SE conifer forests | |||||||
APNF, DaBr | FL, USA | 1 | 12 | 360 | 2686 | ||
BRSF, DaBr | FL, USA | 1 | 10 | 170 | 3225 | ||
DSNY, JaCl | FL, USA | 3 | 34 | 169 | 308 | 827 | |
EAFB, DaBr | FL, USA | 5 | 51 | 1157 | 10230 | ||
EEF, DaBr | AK, USA | 7 | 103 | 2307 | 19358 | ||
FL, iNat | FL, USA | 20 | 281 | 584 | 49622 | ||
GA, iNat | GA, USA | 8 | 83 | 100 | 9649 | ||
JERC, DaBr | GA, USA | 1 | 11 | 209 | 3835 | ||
OSBS, JaCl | FL, USA | 6 | 238 | 982 | 238 | 2330 | |
STCB, DaBr | GA, USA | 1 | 9 | 252 | 884 | ||
TTRS, DaBr | GA, USA | 1 | 10 | 120 | 495 | ||
SE mixed forests | |||||||
AL, iNat | AL, USA | 4 | 54 | 99 | 4924 | ||
DUKE, JaCl | NC, USA | 12 | 36991 | 798577 | 923622 | 536371 | |
FBMB, DaBr | GA, USA | 1 | 50 | 850 | 12826 | ||
MD, iNat | MD, USA | 6 | 65 | 102 | 14875 | ||
NC, iNat | NC, USA | 51 | 2636 | 5099 | 776850 | ||
SERC, JaCl | MD, USA | 9 | 207 | 1242 | 1591 | 88624 | |
TALL, JaCl | AL, USA | 8 | 156 | 1065 | 2139 | 18761 | |
Sierra Nevada forests | |||||||
SEQ, EmMo | CA, USA | 4 | 1189 | 7240 | 1857 | ||
SEQU, AdDa, NaSt | CA, USA | 20 | 16128 | 373226 | 399214 | ||
SOAP, JaCl | CA, USA | 6 | 180 | 779 | 7474 | 2598 | |
TAHOE, EmMo | CA, USA | 2 | 867 | 3497 | 338 | ||
YOSE, AdDa, NaSt | CA, USA | 4 | 7702 | 178565 | 45912 | ||
SW Iberian Mediterranean sclerophyllous mixed forests | |||||||
ALCO, IgPr | Andalusia, ESP | 3 | 50 | 1000 | 50925 | ||
Andal, iNat | Andal, ESP | 67 | 737 | 1581 | 153378 | ||
PNLA, ArHa | Andalusia, ESP | 5 | 567 | 12474 | 718084 | ||
SJDV, FrRo | Cadiz, ESP | 2 | 252 | 4639 | 168343 | ||
Taiheiyo evergreen forests | |||||||
Tokyo, iNat | Tokyo, JPN | 1 | 1 | 1 | 2000 | ||
Wakay, iNat | Wakay, JPN | 1 | 1 | 3 | 18 | ||
Taiheiyo montane deciduous forests | |||||||
OFR, MiSh, ShNa, MiOg, HiKu | Fukushima, JPN | 1 | 543 | 18163 | 130150 | ||
Taiwan subtropical evergreen forests | |||||||
FFDF, ChCh, I-Su | Wulai, TWN | 1 | 92667 | 1675238 | 76021 | ||
Valdivian temperate forests | |||||||
ARAU, MaAr, SeDo | Araucania, CHL | 4 | 115 | 4715 | 10978 | ||
LNP, JaSa, ThKi | Neuquen Province, ARG | 6 | 6 | 108 | 25872 | ||
W European broadleaf forests | |||||||
Auver, iNat | Auver, FRA | 6 | 83 | 150 | 2640 | ||
Bayern, iNat | Bayer, DEU | 19 | 224 | 705 | 242957 | ||
Franc, iNat | Franc, FRA | 3 | 6 | 9 | 12620 | ||
Hessen, iNat | Hesse, DEU | 2 | 12 | 37 | 3325 | ||
Liber, iNat | Liber, CZE | 4 | 12 | 24 | 83475 | ||
Lorra, iNat | Lorra, FRA | 3 | 24 | 25 | 5354 | ||
W Great Lakes forests | |||||||
CADI, RiKo | MI, USA | 6 | 773 | 17006 | 150989 | 29329 | |
MANI, RiKo | MI, USA | 6 | 894 | 19668 | 73493 | 10374 | |
MI, iNat | MI, USA | 14 | 161 | 241 | 26817 | ||
MICH, JaLa | MI, USA | 1 | 144 | 1440 | 906624 | ||
PAFA, JaLa | WI, USA | 1 | 1 | 10 | |||
TREE, JaCl | WI, USA | 7 | 180 | 720 | 12497 | 89370 | |
UMBS, InIb | MI, USA | 4 | 8602 | 121334 | 51758 | ||
UNDE, JaCl | WI, USA | 10 | 3690 | 34223 | 7663 | 83101 | |
WI, iNat | WI, USA | 9 | 95 | 126 | 28444 | ||
WILW, JaLa | WI, USA | 1 | 1 | 10 | 1316 | ||
WORU, JaLa | WI, USA | 1 | 89 | 890 | 120923 | ||
W Gulf coastal grasslands | |||||||
LA, iNat | LA, USA | 11 | 67 | 189 | 3712 | ||
W short grasslands | |||||||
CMNM, MiRe | NM, USA | 1 | 12 | 410 | 705 | ||
KENT, MiRe | OK, USA | 2 | 21 | 726 | 2055 | ||
Willamette Valley forests | |||||||
CAMT, JeFr | OR, USA | 1 | 27 | 1590 | 123371 | ||
Wyoming Basin shrub steppe | |||||||
NORT, AnWi, MiRe | CO, USA | 2 | 13 | 247 | 289 | ||
Xingu Tocantins Araguaia moist forests | |||||||
PA, JuNo | Pare, BRA | 1 | 25 | 25 | 743 | ||
Zambezian Mopane woodlands | |||||||
Limpo, iNat | Limpo, ZAF | 1 | 2 | 2 | |||
Mpuma, iNat | Mpuma, ZAF | 13 | 108 | 112 | 33524 |