Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Nika, Galic"'
Publikováno v:
Ecologies, Vol 5, Iss 3, Pp 354-367 (2024)
The environmental risk assessment (ERA) of plant protection products (PPPs) is commonly conducted for a number of standard laboratory species, though its scope includes all species, especially those that are vulnerable or endangered. This begs the qu
Externí odkaz:
https://doaj.org/article/35bb411c574641b489b109e60d5370ba
Autor:
Josef Koch, Silke Classen, Daniel Gerth, Natalie Dallmann, Tido Strauss, Maxime Vaugeois, Nika Galic
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 277, Iss , Pp 116355- (2024)
The neonicotinoid insecticide thiamethoxam (TMX) is widely used to protect crops against insect pests. Despite some desirable properties such as its low toxicity to birds and mammals, concerns have been raised about its toxicity to non-target arthrop
Externí odkaz:
https://doaj.org/article/a2f29114421c447d8c21d98da8ea998c
Publikováno v:
Environment International, Vol 186, Iss , Pp 108607- (2024)
Practical, legal, and ethical reasons necessitate the development of methods to replace animal experiments. Computational techniques to acquire information that traditionally relied on animal testing are considered a crucial pillar among these so-cal
Externí odkaz:
https://doaj.org/article/a767a2aa373a49f3a02c1c05ccf101d6
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 263, Iss , Pp 115250- (2023)
A major challenge in ecological risk assessment is estimating chemical-induced effects across taxa without species-specific testing. Where ecotoxicological data may be more challenging to gather, information on species physiology is more available fo
Externí odkaz:
https://doaj.org/article/46e84d3148ba4764a5e5073ae83f69af
Autor:
Chiara Accolla, Amelie Schmolke, Andy Jacobson, Colleen Roy, Valery E. Forbes, Richard Brain, Nika Galic
Publikováno v:
Ecologies, Vol 3, Iss 2, Pp 183-205 (2022)
Mechanistic models are invaluable in ecological risk assessment (ERA) because they facilitate extrapolation of organism-level effects to population-level effects while accounting for species life history, ecology, and vulnerability. In this work, we
Externí odkaz:
https://doaj.org/article/4ff949f602b84af0b9b5a5f4abad556b
Publikováno v:
Ecologies, Vol 3, Iss 2, Pp 78-95 (2022)
Invasive crayfish are among the major threats to freshwater ecosystems, with the signal crayfish, Pacifastacus leniusculus, being one of the most successful crayfish invaders in Europe. Approaches to invasive crayfish control range from manual and ph
Externí odkaz:
https://doaj.org/article/271f8e4fd0c44863b79720e8b6373a7d
Publikováno v:
Frontiers in Ecology and Evolution, Vol 10 (2023)
IntroductionHabitat restoration aims at reinstating abiotic and biotic habitat conditions to support long-term species persistence and viability. This management practice is commonly part of recovery plans developed for species listed as threatened o
Externí odkaz:
https://doaj.org/article/49719a514304460f94770e82f758cc01
Autor:
Pamela Rueda‐Cediel, Nika Galic, Richard Brain, Jesús N. Pinto‐Ledezma, Andreu Rico, Valery Forbes
Publikováno v:
Repositorio Institucional del Instituto IMDEA Agua
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Developing population models for assessing risks to terrestrial plant species listed as threatened or endangered under the Endangered Species Act (ESA) is challenging given a paucity of data on their life histories. The purpose of this study was to d
Autor:
Ann-Kathrin Loerracher, Jürgen Schmidt, Klaus Peter Ebke, Amelie Schmolke, Abi-Akar Farah, Nika Galic, Roman Ashauer
Aquatic mesocosms are complex test systems used within regulatory risk assessment of plant protection products. These model ecosystems allow to capture interactions of multiple species under environmental conditions. They enable assessment of direct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc02c305461f0dc8121b829a70e336c7
https://doi.org/10.21203/rs.3.rs-2533158/v1
https://doi.org/10.21203/rs.3.rs-2533158/v1
Publikováno v:
Aquatic Conservation: Marine and Freshwater Ecosystems. 31:3386-3402