Remote sensing of subtropical tree diversity:The underappreciated roles of the practical definition of forest canopy and phenological variation

Tree species diversity is vital for maintaining ecosystem functions,yet our ability to map the distribution of tree diversity is limited due to difficulties in traditional field-based approaches.Recent developments in spaceborne remote sensing provide unprecedented opportunities to map and monitor tree diversity more efficiently.Here we built partial least squares regression models using the multispectral surface reflectance acquired by Sentinel-2 satellites and the inventory data from 74 subtropical forest plots to predict canopy tree diversity in a national natural reserve in eastern China.In particular,we evaluated the underappreciated roles of the practical definition of forest canopy and phenological variation in predicting tree diversity by testing three different definitions of canopy trees and comparing models built using satellite imagery of different seasons.Our best models explained 42%–63%variations in observed diversities in cross-validation tests,with higher explanation power for diversity indices that are more sensitive to abundant species.The models built using imageries from early spring and late autumn showed consistently better fits than those built using data from other seasons,highlighting the significant role of transitional phenology in remotely sensing plant diversity.Our results suggested that the cumulative diameter(60%–80%)of the biggest trees is a better way to define the canopy layer than using the subjective fixeddiameter-threshold(5–12 cm)or the cumulative basal area(90%–95%)of the biggest trees.Remarkably,these approaches resulted in contrasting diversity maps that call attention to canopy structure in remote sensing of tree diversity.This study demonstrates the potential of mapping and monitoring tree diversity using the Sentinal-2 data in species-rich forests.

Local-scale drivers of multi-stemmed tree formation in Acer,in a temperate forest of Northeast China

Acer is an important genus in temperate forests in Northeast China.Individual Acer trees can re-sprout from the root collar and can occur in clonal units,either as a single-stemmed or multi-stemmed tree.However,the factors that induce multiple-stems in Acer remain only partly understood.In this study,we determined the relative importance of abiotic and biotic variables in driving the production of multiple-stems in this genus,within a 25-hm^2experimental forest dynamics plot in Changbaishan(CBS)temperate forest.We used generalized linear mixed models to perform analyses at two levels(community-and specieslevel).We found seven Acer species in total within the plot,where they form a key part of the forest community.Our results show that abiotic factors play a more important role in producing multi-stemmed trees at the community level in CBS.At the species level,the relative importance of different factors varied among species.Shrub species tended to have a higher frequency of multi-stemmed trees under stressful conditions,whereas tree species tended to have more multi-stemmed trees in more suitable habitat.Our results indicate that the relative importance of different factors influencing the frequency of multi-stemmed individuals in Acer differs at the community and species level in the temperate forest.