Select sites with a winter-dormant climate (temperate and boreal) without dry season.
Use only forests. That is classid
:
df_sites <- siteinfo_fluxnet2015 %>%
filter(koeppen_code %in% c("Cfa", "Cfb", "Cfc", "Dfa", "Dfb", "Dfc", "Dfd") &
classid %in% c("MF", "ENF", "DBF", "DNF"))
Identical with Yunpeng’s selection?
df_sites_yp <- read_csv("../data/fluxnet2015_sites_sel_tidy_all.csv") %>%
left_join(siteinfo_fluxnet2015 %>%
select(SiteName = sitename, koeppen_code, classid),
by = "SiteName")
Which of mine are also in Yunpeng’s?
df_sites %>%
mutate(included_in_yp = sitename %in% df_sites_yp$SiteName) %>%
select(sitename, included_in_yp, koeppen_code, classid) %>%
kable()
sitename | included_in_yp | koeppen_code | classid |
---|---|---|---|
BE-Bra | TRUE | Cfb | MF |
BE-Vie | TRUE | Cfb | MF |
CA-Man | TRUE | Dfc | ENF |
CA-NS1 | TRUE | Dfc | ENF |
CA-NS2 | TRUE | Dfc | ENF |
CA-NS3 | TRUE | Dfc | ENF |
CA-NS4 | TRUE | Dfc | ENF |
CA-NS5 | TRUE | Dfc | ENF |
CA-Qfo | TRUE | Dfc | ENF |
CA-SF1 | FALSE | Dfc | ENF |
CA-SF2 | FALSE | Dfc | ENF |
CH-Lae | TRUE | Cfb | MF |
CN-Qia | TRUE | Cfa | ENF |
CZ-BK1 | TRUE | Dfb | ENF |
DE-Hai | TRUE | Cfb | DBF |
DE-Lkb | TRUE | Cfb | ENF |
DE-Obe | TRUE | Cfb | ENF |
DE-Tha | TRUE | Cfb | ENF |
DK-Sor | TRUE | Cfb | DBF |
FI-Hyy | TRUE | Dfc | ENF |
FI-Sod | TRUE | Dfc | ENF |
FR-Fon | TRUE | Cfb | DBF |
FR-LBr | TRUE | Cfb | ENF |
IT-Col | TRUE | Cfa | DBF |
IT-Isp | FALSE | Cfb | DBF |
IT-La2 | FALSE | Cfb | ENF |
IT-Lav | TRUE | Cfb | ENF |
IT-PT1 | FALSE | Cfa | DBF |
IT-Ren | TRUE | Dfc | ENF |
JP-MBF | FALSE | Dfb | DBF |
JP-SMF | TRUE | Cfa | MF |
NL-Loo | TRUE | Cfb | ENF |
RU-Fyo | TRUE | Dfb | ENF |
US-GBT | FALSE | Dfc | ENF |
US-GLE | TRUE | Dfb | ENF |
US-Ha1 | TRUE | Dfb | DBF |
US-MMS | TRUE | Cfa | DBF |
US-NR1 | TRUE | Dfc | ENF |
US-PFa | TRUE | Dfb | MF |
US-Prr | TRUE | Dfc | ENF |
US-Syv | TRUE | Dfb | MF |
US-UMB | TRUE | Dfb | DBF |
US-UMd | TRUE | Dfb | DBF |
US-WCr | TRUE | Dfb | DBF |
US-Wi0 | FALSE | Dfb | ENF |
US-Wi3 | FALSE | Dfb | DBF |
US-Wi4 | FALSE | Dfb | ENF |
US-Wi9 | FALSE | Dfb | ENF |
Which of Yunpeng’s are also in mine?
df_sites_yp %>%
mutate(included_in_mine = SiteName %in% df_sites$sitename) %>%
select(SiteName, included_in_mine, koeppen_code, classid) %>%
kable()
SiteName | included_in_mine | koeppen_code | classid |
---|---|---|---|
AT-Neu | FALSE | Dfc | GRA |
AU-Rig | FALSE | Cfb | GRA |
BE-Bra | TRUE | Cfb | MF |
CA-Gro | FALSE | NA | NA |
CA-NS1 | TRUE | Dfc | ENF |
CA-NS3 | TRUE | Dfc | ENF |
CA-Oas | FALSE | NA | NA |
CA-Obs | FALSE | NA | NA |
CA-TP1 | FALSE | NA | NA |
CA-TP3 | FALSE | NA | NA |
CA-TP4 | FALSE | NA | NA |
CH-Fru | FALSE | Cfb | GRA |
CN-Qia | TRUE | Cfa | ENF |
CZ-BK1 | TRUE | Dfb | ENF |
CZ-BK2 | FALSE | Dfb | GRA |
DE-Lkb | TRUE | Cfb | ENF |
DE-Lnf | FALSE | NA | NA |
DK-Eng | FALSE | NA | NA |
DK-Sor | TRUE | Cfb | DBF |
FI-Sod | TRUE | Dfc | ENF |
FR-Fon | TRUE | Cfb | DBF |
FR-LBr | TRUE | Cfb | ENF |
IT-Col | TRUE | Cfa | DBF |
IT-Lav | TRUE | Cfb | ENF |
IT-MBo | FALSE | Dfb | GRA |
JP-SMF | TRUE | Cfa | MF |
RU-Fyo | TRUE | Dfb | ENF |
US-AR1 | FALSE | Cfa | GRA |
US-AR2 | FALSE | Cfa | GRA |
US-GLE | TRUE | Dfb | ENF |
US-Goo | FALSE | NA | NA |
US-Ha1 | TRUE | Dfb | DBF |
US-IB2 | FALSE | NA | NA |
US-MMS | TRUE | Cfa | DBF |
US-NR1 | TRUE | Dfc | ENF |
US-Oho | FALSE | NA | NA |
US-PFa | TRUE | Dfb | MF |
US-Prr | TRUE | Dfc | ENF |
DE-Hai | TRUE | Cfb | DBF |
US-Syv | TRUE | Dfb | MF |
US-UMB | TRUE | Dfb | DBF |
US-UMd | TRUE | Dfb | DBF |
US-WCr | TRUE | Dfb | DBF |
CA-Man | TRUE | Dfc | ENF |
CA-NS2 | TRUE | Dfc | ENF |
CA-NS4 | TRUE | Dfc | ENF |
CA-NS5 | TRUE | Dfc | ENF |
CA-Qfo | TRUE | Dfc | ENF |
FI-Hyy | TRUE | Dfc | ENF |
IT-Tor | FALSE | Dfc | GRA |
IT-Ren | TRUE | Dfc | ENF |
BE-Vie | TRUE | Cfb | MF |
CH-Cha | FALSE | Cfb | GRA |
CH-Lae | TRUE | Cfb | MF |
CH-Oe1 | FALSE | Cfb | GRA |
DE-Gri | FALSE | Cfb | GRA |
DE-Obe | TRUE | Cfb | ENF |
DE-RuR | FALSE | Cfb | GRA |
DE-Tha | TRUE | Cfb | ENF |
NL-Hor | FALSE | Cfb | GRA |
NL-Loo | TRUE | Cfb | ENF |