TY - JOUR A1 - Dorji, Yonten A1 - Schuldt, Bernhard A1 - Neudam, Liane A1 - Dorji, Rinzin A1 - Middleby, Kali A1 - Isasa, Emilie A1 - Körber, Klaus A1 - Ammer, Christian A1 - Annighöfer, Peter A1 - Seidel, Dominik T1 - Three-dimensional quantification of tree architecture from mobile laser scanning and geometry analysis JF - Trees N2 - Key message Mobile laser scanning and geometrical analysis revealed relationships between tree geometry and seed dispersal mechanism, latitude of origin, as well as growth. Abstract The structure and dynamics of a forest are defined by the architecture and growth patterns of its individual trees. In turn, tree architecture and growth result from the interplay between the genetic building plans and environmental factors. We set out to investigate whether (1) latitudinal adaptations of the crown shape occur due to characteristic solar elevation angles at a species’ origin, (2) architectural differences in trees are related to seed dispersal strategies, and (3) tree architecture relates to tree growth performance. We used mobile laser scanning (MLS) to scan 473 trees and generated three-dimensional data of each tree. Tree architectural complexity was then characterized by fractal analysis using the box-dimension approach along with a topological measure of the top heaviness of a tree. The tree species studied originated from various latitudinal ranges, but were grown in the same environmental settings in the arboretum. We found that trees originating from higher latitudes had significantly less top-heavy geometries than those from lower latitudes. Therefore, to a certain degree, the crown shape of tree species seems to be determined by their original habitat. We also found that tree species with wind-dispersed seeds had a higher structural complexity than those with animal-dispersed seeds (p < 0.001). Furthermore, tree architectural complexity was positively related to the growth performance of the trees (p < 0.001). We conclude that the use of 3D data from MLS in combination with geometrical analysis, including fractal analysis, is a promising tool to investigate tree architecture. KW - tree architecture KW - LiDAR KW - fractal analysis KW - seed dispersal strategy KW - latitude KW - tree growth Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-307501 SN - 0931-1890 SN - 1432-2285 VL - 35 IS - 4 ER - TY - JOUR A1 - Seibold, Sebastian A1 - Hothorn, Torsten A1 - Gossner, Martin M. A1 - Simons, Nadja K. A1 - Blüthgen, Nico A1 - Müller, Jörg A1 - Ambarlı, Didem A1 - Ammer, Christian A1 - Bauhus, Jürgen A1 - Fischer, Markus A1 - Habel, Jan C. A1 - Penone, Caterina A1 - Schall, Peter A1 - Schulze, Ernst‐Detlef A1 - Weisser, Wolfgang W. T1 - Insights from regional and short‐term biodiversity monitoring datasets are valuable: a reply to Daskalova et al. 2021 JF - Insect Conservation and Diversity N2 - Reports of major losses in insect biodiversity have stimulated an increasing interest in temporal population changes. Existing datasets are often limited to a small number of study sites, few points in time, a narrow range of land‐use intensities and only some taxonomic groups, or they lack standardised sampling. While new monitoring programs have been initiated, they still cover rather short time periods. Daskalova et al. 2021 (Insect Conservation and Diversity, 14, 1‐18) argue that temporal trends of insect populations derived from short time series are biased towards extreme trends, while their own analysis of an assembly of shorter‐ and longer‐term time series does not support an overall insect decline. With respect to the results of Seibold et al. 2019 (Nature, 574, 671–674) based on a 10‐year multi‐site time series, they claim that the analysis suffers from not accounting for temporal pseudoreplication. Here, we explain why the criticism of missing statistical rigour in the analysis of Seibold et al. (2019) is not warranted. Models that include ‘year’ as random effect, as suggested by Daskalova et al. (2021), fail to detect non‐linear trends and assume that consecutive years are independent samples which is questionable for insect time‐series data. We agree with Daskalova et al. (2021) that the assembly and analysis of larger datasets is urgently needed, but it will take time until such datasets are available. Thus, short‐term datasets are highly valuable, should be extended and analysed continually to provide a more detailed understanding of insect population changes under the influence of global change, and to trigger immediate conservation actions. KW - Arthropod KW - biodiversity KW - insect decline KW - land use KW - time series Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-228309 VL - 14 IS - 1 SP - 144 EP - 148 ER -