Table 6. Estimates of NPP  by (a) Site and (b) Ecoregion.

Units - (gC/m2/yr).  NPP LOW/NPP HI - typical range based on literature, NPP_AGB - maximum
above ground biomass, NPP_TOT - maximum clipped above ground biomass, NPP_IBP - sum of
positive increments of aboveground and belowground biomass, NPP_MOD - sum of positive
increments of biomass and dead matter, NPP_CUM - site supplied cummulative monthly NPP
based on above and below ground components.

SITE NAME            NPP_LOW   NPP_HI   NYR   NPP_AGB   NPP_TOT   NPP_IBP   NPP_MOD   NPP_CUM

CPER Pawnee, USA         90    135      6       29         .         .         .         .
Khomutov, Ukraine       360    450      4      164       327         .         .         .
Klong Hoi Khong, T      765   1125      6      159       371       369       580         .
Konza, USA              360    540      7      147         .         .         .         .
Kursk, Russia           360    540     30      165       473       553       993         .
Lamto, Cote Ivoire      675   1125      8      185       202         .         .         .
Montecillo, Mexic       720    900     11      134       385       379       911       569
Nairobi, Kenya          540    675     10      106       357       163       417       368
Otradnoe, Russia        270    405      4      109       179       226       364         .
Shortandy, Kazakhs      135    180      3       62       332       685      1119         .
Tumentsogt, Mongol       90    225      9       78         .         .         .         .
Tuva, Russia             90    180      5       54       100         .         .         .
Xilingol, China         135    225     10       78         .         .         .         .

ECO REGION              SITE NAME           NPP_LOW  NPP_HI  NYR  NPP_AGB  NPP_TOT  NPP_IBP  NPP_MOD

Cold desert steppe      Shortandy, Kazakhs     135    180     3      62      332      685     1119
                        Tumentsogt, Mongol      90    225     9      78        .        .        .
                        Tuva, Russia            90    180     5      54      100        .        .
                        Xilingol, China        135    225    10      78        .        .        .

Forest-meadow-paramo    Montecillo, Mexico     720    900    11     134      385      379      911

Humid savanna           Klong Hoi Khong, T     765   1125     6     159      371      369      580
                        Lamto, Cote Ivoire     675   1125     8     185      202        .        .

Humid temperate         Khomutov, Ukraine      360    450     4     164      327        .        .
  prairie               Konza, USA             360    540     7     147        .        .        .
                        Kursk, Russia          360    540    30     165      473      553      993
                        Otradnoe, Russia       270    405     4     109      179      226      364

Savanna                 Nairobi, Kenya         540    675    10     106      357      163      417

Temperate dry steppe    CPER Pawnee, USA        90    135     6      29        .        .        .