TY - JOUR A1 - de Oliveira-Silva, Anna Elizabeth A1 - Piratelli, Augusto João A1 - Zurell, Damaris A1 - da Silva, Fernando Rodrigues T1 - Vegetation cover restricts habitat suitability predictions of endemic Brazilian Atlantic Forest birds JF - Perspectives in Ecology and Conservation N2 - Ecological niche models (ENMs) are often used to investigate how climatic variables from known occurrence records can estimate potential species range distribution. Although climate-based ENMs provide critical baseline information, the inclusion of non-climatic predictors related to vegetation cover might generate more realistic scenarios. This assumption is particularly relevant for species with life-history traits related to forest habitats and sensitive to habitat loss and fragmentation. Here, we developed ENMs for 36 Atlantic Forest endemic birds considering two sets of predictor variables: (i) climatic variables only and (ii) climatic variables combined with the percentage of remaining native vegetation. We hypothesized that the inclusion of native vegetation data would decrease the potential range distribution of forest-dependent species by limiting their occurrence in regions harboring small areas of native vegetation habitats, despite otherwise favorable climatic conditions. We also expected that habitat restriction in the climate-vegetation models would be more pronounced for highly forest-dependent birds. The inclusion of vegetation data in the modeling procedures restricted the final distribution ranges of 22 out of 36 modeled species, while the 14 remaining presented an expansion of their ranges. We observed that species with high and medium forest dependency showed higher restriction in range size predictions between predictor sets than species with low forest dependency, which showed no alteration or range expansion. Overall, our results suggest that ENMs based on climatic and landscape variables may be a useful tool for conservationists to better understand the dynamic of bird species distributions in threatened and highly fragmented regions such as the Atlantic Forest hotspot.(c) 2021 Associacao Brasileira de Cie circumflex accent ncia Ecol ogica e Conservacao. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ ). KW - Conservation KW - Ecological niche modeling KW - Forest dependency KW - Fragmentation KW - Habitat loss KW - Landscape KW - Life-history traits Y1 - 2021 U6 - https://doi.org/10.1016/j.pecon.2021.09.002 SN - 2530-0644 VL - 20 IS - 1 SP - 1 EP - 8 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - Reeg, Jette A1 - Schad, Thorsten A1 - Preuss, Thomas G. A1 - Solga, Andreas A1 - Körner, Katrin A1 - Mihan, Christine A1 - Jeltsch, Florian T1 - Modelling direct and indirect effects of herbicides on non-target grassland communities JF - Ecological modelling : international journal on ecological modelling and engineering and systems ecolog N2 - Natural grassland communities are threatened by a variety of factors, such as climate change and increasing land use by mankind. The use of plant protection products (synthetic or organic) is mandatory in agricultural food production. To avoid adverse effects on natural grasslands within agricultural areas, synthetic plant protection products are strictly regulated in Europe. However, effects of herbicides on non-target terrestrial plants are primarily studied on the level of individual plants neglecting interactions between species. In our study, we aim to extrapolate individual-level effects to the population and community level by adapting an existing spatio-temporal, individual-based plant community model (IBC-grass). We analyse the effects of herbicide exposure for three different grassland communities: 1) representative field boundary community, 2) Calthion grassland community, and 3) Arrhenatheretalia grassland community. Our simulations show that herbicide depositions can have effects on non-target plant communities resulting from direct and indirect effects on population level. The effect extent depends not only on the distance to the field, but also on the specific plant community, its disturbance regime (cutting frequency, trampling and grazing intensity) and resource level. Mechanistic modelling approaches such as IBC-grass present a promising novel approach in transferring and extrapolating standardized pot experiments to community level and thereby bridging the gap between ecotoxicological testing (e.g. in the greenhouse) and protection goals referring to real world conditions. KW - Plant community modelling KW - Herbicide exposure KW - Landscape KW - Non-target terrestrial plants KW - Field margins Y1 - 2017 U6 - https://doi.org/10.1016/j.ecolmodel.2017.01.010 SN - 0304-3800 SN - 1872-7026 VL - 348 SP - 44 EP - 55 PB - Elsevier CY - Amsterdam ER - TY - INPR A1 - Wellstein, Camilla A1 - Schröder-Esselbach, Boris A1 - Reineking, Bjoern A1 - Zimmermann, Niklaus E. T1 - Understanding species and community response to environmental change - A functional trait perspective T2 - Agriculture, ecosystems & environment : an international journal for scientific research on the relationship of agriculture and food production to the biosphere KW - Functional traits KW - Functional diversity KW - Database KW - Land use KW - Management KW - Climate change KW - Landscape KW - Ecosystem function KW - Clonal plants KW - Dispersal KW - Plant growth KW - Orthoptera Y1 - 2011 U6 - https://doi.org/10.1016/j.agee.2011.06.024 SN - 0167-8809 VL - 145 IS - 1 SP - 1 EP - 4 PB - Elsevier CY - Amsterdam ER -