Publications by Talia Gabay
Mammal data national + only far (10/07/2023)
P <- P_byplot Monitoring started in 2014 (5 monitoring cycles) There are 53 sites total, Sites are located either near or far from Settlements or near or far from agriculture. Most sites have 2 plot types except for conifer forest and herbaceous and dwarf shrub vegetation (only far). Inland sand also has a division according to dune status - shi...
2095 sym 13 img 2 tbl
Negev Higlands with diagnostics
P <- P_byplot[grepl("Negev Highlands",Unit),][order(Cycle_number,Site)][,Site:=factor(Site)] Negev Highlands - Richness by camera Monitoring started in 2014 (5 monitoring cycles), Each site as two types of plots - near or far from Settlements. There are 5 sites total - Bislach, Ezuz, Merhav Am, Sde Boker, Yeruham Each has 5 sampling points exce...
1957 sym Python (52266 sym/172 pcs) 35 img 5 tbl
Arid Desert with diagnostics
P <- P_byplot[grepl("Arid Desert",Unit),][order(Cycle_number,Site)][,Site:=factor(Site)] Arid Desert - Richness by camera Monitoring started in 2014 (5 monitoring cycles), Each site as two types of plots - near or far from Agriculture. There are 5 sites total - Ein Yahav, Lotan, Paran, Yotvata, Zofar Each has 5 sampling points except for Paran ...
2295 sym Python (44517 sym/147 pcs) 20 img 5 tbl
Mammal data national - NEW
P <- P_byplot Monitoring started in 2014 (5 monitoring cycles) There are 53 sites total, Sites are located either near or far from Settlements or near or far from agriculture. Most sites have 2 plot types except for conifer forest and herbaceous and dwarf shrub vegetation (only far). Inland sand also has a division according to dune status - shi...
1820 sym Python (34753 sym/218 pcs) 10 img 19 tbl
Mammal data national (only far) - NEW
P <- P_byplot[grepl("Far",Settlements) | grepl("Far", Agriculture),][order(Unit,Site)] print(nrow(P[Unit == "Arid Desert"])) ## [1] 165 print(nrow(P[Unit == "Herbaceous and Dwarf Shrub Vegetation"])) ## [1] 181 print(nrow(P[Unit == "Inland Sands"])) ## [1] 85 print(nrow(P[Unit == "Mediterranean Desert Transition Zone"])) ## [1] 139 print(nrow(P[U...
2573 sym Python (59444 sym/436 pcs) 16 img 37 tbl
Mammal data national (desert units) - NEW
P <- P_byplot[Unit %in% c("Arid Desert", "Inland Sands", "Mediterranean Desert Transition Zone", "Negev Highlands")] Monitoring started in 2014 (5 monitoring cycles) 4 desert units, each have 2 types of transects - near or far from settlements/agriculture Each site was sampled for 5 monitoring cycles besides inland sand sites, which were sampl...
1641 sym Python (45837 sym/287 pcs) 14 img 31 tbl
Mammal data - national (only near)
P <- P_byplot[grepl("Near",Settlements) | grepl("Near", Agriculture),][order(Unit,Site)] print(nrow(P[Unit == "Arid Desert"])) ## [1] 138 print(nrow(P[Unit == "Inland Sands"])) ## [1] 31 print(nrow(P[Unit == "Mediterranean Desert Transition Zone"])) ## [1] 142 print(nrow(P[Unit == "Mediterranean Maquis"])) ## [1] 572 print(nrow(P[Unit == "Negev H...
1711 sym Python (40136 sym/166 pcs) 11 img 7 tbl
Mammal data - national (desert units)
P <- P_byplot[Unit %in% c("Arid Desert", "Inland Sands", "Mediterranean Desert Transition Zone", "Negev Highlands")] Monitoring started in 2014 (5 monitoring cycles) 4 desert units, each have 2 types of transects - near or far from settlements/agriculture Each site was sampled for 5 monitoring cycles besides inland sand sites, which were sampl...
1504 sym Python (36498 sym/162 pcs) 13 img 7 tbl
Mammal data - national (mediterranean units)
P <- P_byplot[Unit %in% c("Herbaceous and Dwarf Shrub Vegetation", "Mediterranean Maquis", "Planted Conifer Forests")] Monitoring started in 2014 (5 monitoring cycles) 3 Mediterranean units, conifer forest and herbaceous have only far from settlements Each site was sampled for 5 monitoring cycles Let’s first validate the data: #include rare spec...
1292 sym Python (26764 sym/141 pcs) 9 img 7 tbl
Mammal data - national (only far)
P <- P_byplot[grepl("Far",Settlements) | grepl("Far", Agriculture),][order(Unit,Site)] print(nrow(P[Unit == "Arid Desert"])) ## [1] 165 print(nrow(P[Unit == "Herbaceous and Dwarf Shrub Vegetation"])) ## [1] 181 print(nrow(P[Unit == "Inland Sands"])) ## [1] 85 print(nrow(P[Unit == "Mediterranean Desert Transition Zone"])) ## [1] 139 print(nrow(P[U...
1583 sym Python (38831 sym/163 pcs) 10 img 7 tbl