Figure 2 - uploaded by Fei-Hai Yu
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Regression plots of the final model showing the effects of leaf dry matter content (LDMC, a), specific leaf area (SLA, b), seed mass (c), and leaf N (d) content on the CV of species.
Source publication
Ecological theory posits that temporal stability patterns in plant populations are associated with differences in species’ ecological strategies. However, empirical evidence is lacking about which traits, or trade-offs, underlie species stability, specially across different ecosystems.
To address this, we compiled a global collection of long-term p...
Contexts in source publication
Context 1
... resulted in a total of 3,397 species per dataset CV values. To account for potential effects of temporal directional trends in vegetation affecting CV (Valencia et al., 2020b) we also computed a detrended version of CV (CVt3) which gave very similar results to the basic CV calculations (see Supporting Information Fig. S2). ...
Context 2
... found significant negative coefficients with population variability for LDMC and for seed mass (Table 1; Fig. 1). These coefficients indicate that species with greater LDMC and greater seed mass were more stable (i.e. lower CV values; Fig. 2a). In contrast, we found positive coefficients for SLA and Leaf N content, although the effect was statistically significant only for SLA. For these traits, the larger the trait value, the higher the species CV and therefore the less stable the species populations (Fig. 2b,d). It should be noted that the effect of these traits was rather ...
Context 3
... greater LDMC and greater seed mass were more stable (i.e. lower CV values; Fig. 2a). In contrast, we found positive coefficients for SLA and Leaf N content, although the effect was statistically significant only for SLA. For these traits, the larger the trait value, the higher the species CV and therefore the less stable the species populations (Fig. 2b,d). It should be noted that the effect of these traits was rather consistent across datasets (low deviation of the datasets' random slope effect compared to the main effect slope for both the models using LDMC and seed mass; Supporting Information Fig. ...
Citations
... Species have unique tolerance and avoidance strategies for environmental disturbance. The tolerance to grazing indicates the sensitivity of species to grazing, and the drought tolerance reflects the sensitivity of species to precipitation (Serra-Maluquer et al., 2022;Conti et al., 2022). Previous studies on the impacts of two-factors on vegetation characteristics seldom included the sensitivity of species to factors to two factors, because there are few comprehensive divisions of functional groups according to the degree of sensitivity. ...
Several studies have explored the influence of grazing or precipitation addition (PA), two important components of human activities and global climate change on the structure and function of communities. However, the response of communities to a combination of grazing and PA remains largely unexplored. We investigated the impact of grazing and PA on the relationship between aboveground biomass (AGB) and species richness (SR) of communities in three-year field experiments conducted in a typical steppe in the Loess Plateau, using a split-plot design with grazing as the main-plot factor and PA as the split-plot factor. AGB and SR have response threshold value to PA, which was decreased by grazing for AGB, but increased for SR. This indicates that implementing grazing management strategies is conducive to strengthening the protection of biodiversity in arid and semi-arid grasslands. Grazing promoted the AGB-SR coupling of the community by increasing the SR of medium drought tolerance (MD), low drought tolerance, and grazing tolerant functional groups. Grazing also accelerated the AGB-SR decoupling of the community by changing the AGB of high drought tolerance, MD, high grazing tolerance, and medium grazing tolerance functional groups. PA mediated changes in MD and SR of both drought and grazing tolerant functional groups and AGB of low grazing tolerance promoted the coupling of AGB-SR of the community. The Two-dimension functional groups classification method reflects the changes of AGB and SR in communities more reasonable than the division of single-factor functional groups.
