Population genetic structure, local adaptation, and conservation genetics of Kandelia obovata

Applying Effective Population Size Estimates of Kandelia obovata Sheue, Liu and Yong to Conservation and Restoration Management

“…Previous studies have shown that the topography and ocean currents affect population structure and genetic diversity of mangroves along the coasts of the South China Sea [15][16][17]. Multiple factors including the topography and anthropogenic colonization were also suggested to be responsible for the current population structure of K. obovata off Southeastern China [18]. In addition to the extrinsic determinants, intrinsic factors, such as limited propagule dispersability and mating system of K. obovata, could influence the intra-population substructure [19].…”

“…In addition, biased sampling of nursery seedlings for reforestation could also reduce the Ne of restored populations from their sources cf. [18,23]. Reforestation is a common strategy for the mangrove restoration in Southeast Asian countries.…”

“…Past genetic surveys indicated that both intrinsic and extrinsic properties resulted in a frequent gene flow between populations [9,18,19,30], however, the limited distributions around the estuaries caused structured populations [18,31,32]. Because of the habitat limitations and competition from other mangrove species, the Nc of local populations of K. obovata are not high, except for the only known pure-stand mangrove forest at the estuary of the Danshuei River (JW population, Figure 1) in Northern Taiwan, which is the largest K. obovata population in the world [33].…”

“…Because of the habitat limitations and competition from other mangrove species, the Nc of local populations of K. obovata are not high, except for the only known pure-stand mangrove forest at the estuary of the Danshuei River (JW population, Figure 1) in Northern Taiwan, which is the largest K. obovata population in the world [33]. Ruan et al [18] For inferring the demographic history, Amplified Fragment Length Polymorphism (AFLP) was used in this study. AFLP is a dominant genetic marker, providing distinguishing power for detecting population dynamics, and it is applicable for accessing the genetic structures between natural populations and between the reforested populations and their source populations in K. obovate [18].…”

“…Ruan et al [18] For inferring the demographic history, Amplified Fragment Length Polymorphism (AFLP) was used in this study. AFLP is a dominant genetic marker, providing distinguishing power for detecting population dynamics, and it is applicable for accessing the genetic structures between natural populations and between the reforested populations and their source populations in K. obovate [18].…”