Table 3 Existing aboveground biomass mangrove models selected for evaluation of prediction accuracy

Common

AGB = 3.254 × exp(0.065 × dbh)

31

0.89

4.244

0.5–42

Sofala bay, Mozambique

Sitoe et al. (2014)

Common

AGB = 1.3799 × dbh^0.955 × ht^0.687

100

0.98

–

–

India

Ray et al. (2011)

Common

AGB = 0.0509 × ρ(dbh² × ht)

84

0.96

–

dbh_max = 42

French Guiana and Guadeloupe

Chave et al. (2005)

Common

AGB = 0.251 × ρ × dbh^2.46

104

0.98

0.085

5.0–48.9

Thailand and Indonesia

Komiyama et al. (2005)

Species-specific

AGB = 0.3404 × dbh^2.0273

110

0.94

–

–

Mumbai, India

Patil et al. (2014)

Species-specific

AGB = exp(0.2540 + 0.9140 × log(dbh))

10

0.31

1.340

8^a

Gazi Bay, Kenya

Kairo et al. (2009)

Species-specific

AGB = 0.1036 × dbh² + 0.5402 × dbh + (−1.5674)

–

0.94

–

2.1–12.1

Taiwan

Kuei (2008)

Species-specific

AGB = 0.308 × dbh^2.11

22

0.97

0.023

dbh_max = 35

Darwin, Australia

Comley and McGuinness (2005)

Species-specific

AGB = 0.0825 × ρ × (dbh² × ht)^0.89966

345

0.95

–

dbh_max = 323

Palau

Kauffman and Donato (2012)

Species-specific

AGB = exp(0.6715 + 0.1473 × log(dbh))

10

0.01

0.580

10^a

Gazi Bay, Kenya

Kairo et al. (2009)

Species-specific

AGB = 0.0311 × ρ × (dbh² × ht)^1.00741

73

0.95

–

dbh_max = 39.5

Palau

Kauffman and Donato (2012)

Species-specific

AGB = exp(−0.1811 + 0.6590 × log(dbh))

5

0.83

1.050

5^a

Gazi Bay, Kenya

Kairo et al. (2009)