TY  - JOUR
A1  - Müller, Jörg
A1  - Mitesser, Oliver
A1  - Schaefer, H. Martin
A1  - Seibold, Sebastian
A1  - Busse, Annika
A1  - Kriegel, Peter
A1  - Rabl, Dominik
A1  - Gelis, Rudy
A1  - Arteaga, Alejandro
A1  - Freile, Juan
A1  - Leite, Gabriel Augusto
A1  - de Melo, Tomaz Nascimento
A1  - LeBien, Jack
A1  - Campos-Cerqueira, Marconi
A1  - Blüthgen, Nico
A1  - Tremlett, Constance J.
A1  - Böttger, Dennis
A1  - Feldhaar, Heike
A1  - Grella, Nina
A1  - Falconí-López, Ana
A1  - Donoso, David A.
A1  - Moriniere, Jerome
A1  - Buřivalová, Zuzana
T1  - Soundscapes and deep learning enable tracking biodiversity recovery in tropical forests
JF  - Nature Communications
N2  - Tropical forest recovery is fundamental to addressing the intertwined climate and biodiversity loss crises. While regenerating trees sequester carbon relatively quickly, the pace of biodiversity recovery remains contentious. Here, we use bioacoustics and metabarcoding to measure forest recovery post-agriculture in a global biodiversity hotspot in Ecuador. We show that the community composition, and not species richness, of vocalizing vertebrates identified by experts reflects the restoration gradient. Two automated measures – an acoustic index model and a bird community composition derived from an independently developed Convolutional Neural Network - correlated well with restoration (adj-R² = 0.62 and 0.69, respectively). Importantly, both measures reflected composition of non-vocalizing nocturnal insects identified via metabarcoding. We show that such automated monitoring tools, based on new technologies, can effectively monitor the success of forest recovery, using robust and reproducible data.
KW  - animal behaviour
KW  - conservation biology
Y1  - 2023
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-358130
VL  - 14
ER  - 
TY  - JOUR
A1  - Rabl, Dominik
A1  - Alonso-Rodríguez, Aura M.
A1  - Brehm, Gunnar
A1  - Fiedler, Konrad
T1  - Trait variation in moths mirrors small-scaled ecological gradients in a tropical forest landscape
JF  - Insects
N2  - Along environmental gradients, communities are expected to be filtered from the regional species pool by physical constraints, resource availability, and biotic interactions. This should be reflected in species trait composition. Using data on species-rich moth assemblages sampled by light traps in a lowland rainforest landscape in Costa Rica, we show that moths in two unrelated clades (Erebidae-Arctiinae; Geometridae) are much smaller-sized in oil palm plantations than in nearby old-growth forest, with intermediate values at disturbed forest sites. In old-growth forest, Arctiinae predominantly show aposematic coloration as a means of anti-predator defense, whereas this trait is much reduced in the prevalence in plantations. Similarly, participation in Müllerian mimicry rings with Hymenoptera and Lycidae beetles, respectively, is rare in plantations. Across three topographic types of old-growth forests, community-weighted means of moth traits showed little variation, but in creek forest, both types of mimicry were surprisingly rare. Our results emphasize that despite their mobility, moth assemblages are strongly shaped by local environmental conditions through the interplay of bottom–up and top–down processes. Assemblages in oil palm plantations are highly degraded not only in their biodiversity, but also in terms of trait expression.
KW  - Costa Rica
KW  - body size
KW  - mimicry rings
KW  - aposematism
KW  - oil palm plantations
KW  - lowland rainforest
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-213016
SN  - 2075-4450
VL  - 11
IS  - 9
ER  -