Wetland conversion contributes disproportionately to litter decomposition, yet microbial feedback mechanisms remain understudied in transitional zones. The distinct roles of bacteria versus fungi in wetland litter decomposition remain a key unresolved issue requiring further investigation. Litter decomposition dynamics and microecological mechanisms of three diverse land-types (riparian higher-beach wetland (RHW), cultivated wetland (CW), mesophytic wetland (MW)) within the Yellow River tidal flat were studied via litter bag method and high-throughput sequencing method for 2 years. Results indicated that land-use conversion significantly modulates the facilitative role of soil microbiota in wetland litter decomposition processes Agricultural reclamation on wetland changed microbial habitat and accelerated the litter decomposition 35.7-38.05% and the net release of total carbon 4.15-9.78%. Mesophytization of wetland increased the bacterial species and OTU, and improve carbon sink function. The decomposition process was mainly drove by fungi in the early stage and later by bacteria, and the contribution of fungi (50.98%) exceeded that of bacteria (21.07%). Cellulose and lignin content of litter in RHW, CW and MW decreased exponentially with the time (R2= 0.922, 0.936, 0.905 and 0.892, 0.749, 0.853). The initial contents of C, N, cellulose and lignin significantly affected the microbial decomposition efficiency (P<0.01). Furthermore, the decomposition rate (DR) of C and N positively correlated with ecological parameters (microbes richness, fungal sequence, fungal Simpson index). Lignin DR was more susceptible to bacteria, and positively related to the DR of dry weight and N. Both cellulose and lignin DR existed significant negative connection with the fungal species number. Conclusively, land-type conversion in the Yellow River wetland soil reshapes the microbial engines, mesophytization of natural wetland and anthropogenic reclamation enhance litter decomposition and carbon-nitrogen degradation.

Rodent-mediated seed dispersal largely affects the regeneration and colonization of the forest vegetation. However, due to the steep topography, complex terrains and the heavy anthropogenic logging from 1970s to 1990s, the secondary succession process of the forest is greatly inhibited where temperate deciduous broadleaf forests were the zonal vegetation. Previous studies have ignored the seed dispersal limitation mechanism among different slope positions in montane forests. We established 90 sample plots in Taihang Mountains among different slope positions (i.e., ridge, midslope and valley), and investigated the characteristics of seed removal rate, seed fate and seed dispersal distance of Quercus wutaishanica forest according to three slope positions. The results showed that only one from each of the three rodent species was captured at the ridge, while 52.1% and 43.8% of the small rodents were found in valley and midslope, respectively. Compared to the ridge whose almost all released seeds were intact in site, the seed removal rates were significantly higher in midslope and valley, and the proportions of scatter hoarded in ridge and midslope were significantly different, while both has no significant difference with that in valley. The average seed dispersal distance in midslope was 4.78 m, significantly greater than that in valley, while that of the ridge was only 2.09 m. Therefore, the midslope had the best seed dispersal, but the seed dispersal of ridge was severely restricted, providing the first empirical evidence for the Mid-domain Effect model and the Resource Availability Hypothesis. These results provide a better understanding of the dispersal limitation mechanism of the oak forest and the plant-animal interactions system in mountainous areas.

The leaf-height-seed (LHS) plant ecology strategy scheme posits that functional traits such as leaf size, stem height and seed mass play a key role in life history of plants. Although many studies have explored the LHS scheme across plant species, to our knowledge, no study has so far linked functional trait patterns across different plant clades. Here, we first explored the LHS scheme of several plant clades, i.e., palms, other monocots, dicots and gymnosperms, to understand how potential forces drive variation of plant functional traits. We showed that phylogeny constrains plant functional traits and appears to be the most decisive factor that controls variation in seed mass irrespective of plant clades. Apart from phylogeny, a majority of variation in seed mass was explained by leaf size in palms clade, whereas by plant height in other monocots and dicots. Neither leaf size nor plant height well explained variation in seed mass of gymnosperms clade. Our study strongly suggests that different plant clades exhibit distinct LHS schemes, paving a new avenue for better understanding evolution and correlation between functional traits across sets of plant species.

Although the leaf-height-seed (LHS) scheme states that plant height and leaf area are closely correlated with seed mass; phylogeny, genome size, growth form, and leaf N may also explain variations in seed mass. Till now, there has been little information on the relative contributions of these factors. We compiled data consisting of 1071 plant species from the literature to quantify the relationships between seed mass, explanatory variables and phylogeny. Strong phylogenetic signals of these explanatory variables reflected inherited ancestral traits of the plant species. Without controlling phylogeny, growth form and leaf N are associated with seed mass. However, this association disappeared when accounting for phylogeny. Plant height, leaf area, and genome size showed consistent positive relationship with seed mass irrespective of phylogeny. Using partial R2s, phylogeny explained 50.89% of the variance in seed mass, much more than plant height, leaf area, genome size, leaf N, and growth form explaining only 7.39%, 0.58%, 1.85%, 0.06% and 0.09%, respectively. Our study is the first to disentangle the contributions of phylogeny and plant attributes to the variance in seed mass, providing a novel avenue for better understanding variation in traits across plant species.