Results 61 to 70 of about 29,680 (193)
Fit to predict? Ecoinformatics for predicting the catchability of a pelagic fish in near real-time [PDF]
, 2017 The ocean is a dynamic environment inhabited by a diverse array of highly migratory species, many of which are under direct exploitation in targeted fisheries.
Lewison, Rebecca L. +30 more
core +1 more source
The complex adaptive character of spring fens as model ecosystems
Frontiers of Biogeography, 2017 Predicting the ecological effects of environmental perturbations remains challenging due to complex interactions between species and the environment, which constantly adapt the ecological memory and, thus, the future response of ecosystems.
Andreas H. Schweiger
doaj +1 more source
Holos: Berkeley Ecoinformatics Engine (Short Presentation)
, 2014 A short presentation on Holos: Berkeley Econinformatics Engine, a tool that integrates past, present, and projected future biological and environmental data to facilitate innovative research in global change biology. Visit ecoengine.berkeley.edu to find out more about it!
Rapacciuolo, Giovanni, Berkeley, Holos
openaire +1 more source
Forecasting ecological trajectories from ecological dynamic regimes to improve resilience analysis
Methods in Ecology and Evolution, Volume 17, Issue 9, Page 2803-2817, September 2026.Abstract The ecological dynamic regime (EDR) framework was recently proposed as an alternative to equilibrium‐based approaches for assessing ecological resilience in empirical systems, explicitly incorporating dynamic regimes as a reference for assessing the system's deviation during disturbances.
Martina Sánchez‐Pinillos +3 more
wiley +1 more source
Ecoinformatics for integrated pest management: expanding the applied insect ecologist's tool-kit
, 2014 Experimentation has been the cornerstone of much of integrated pest management (IPM) research. Here, we aim to open a discussion on the possible merits of expanding the use of observational studies, and in particular the use of data from farmers or ...
Rosenheim, Jay A. +8 more
core +1 more source
Methods in Ecology and Evolution, Volume 17, Issue 9, Page 2683-2700, September 2026.Abstract Passive acoustic monitoring (PAM) is widely used to collect large‐scale wildlife data encompassing many species, but efficiently identifying all species—particularly rare and potentially endangered ones—without exhaustive manual examination of the entire dataset remains a major challenge.
Hannes Kath +2 more
wiley +1 more source
System for monitoring the anthropogenic load on natural and territorial complexes
Журнал Белорусского государственного университета: Математика, информатика, 2018 The paper considers the actual problem related to the assessment of the level of anthropogenic load on natural and territorial complexes. Main factors that can be used to describe the nature and level of the anthropogenic load are identified.
Victor V. Krasnoproshin +2 more
doaj
Ten simple rules for team synthesis in ecological research
Methods in Ecology and Evolution, Volume 17, Issue 9, Page 2551-2558, September 2026.Abstract Team‐based synthesis is a collaborative, data‐intensive, often interdisciplinary approach to conducting science that capitalizes on existing data to answer novel questions. In ecology, synthesis has advanced understanding about the functioning and structure of ecological and environmental systems.
Sarah C. Elmendorf +11 more
wiley +1 more source
Ecology and Evolution, Volume 16, Issue 8, August 2026.The cyprinid genus Cyprinion exhibits complex and contentious species boundaries across western Asia due to extensive morphological overlap and shallow mitochondrial divergence. Using integrated COI and genome‐wide SNP analyses, we identified distinct genomic clusters among several taxa despite shared mitochondrial haplotypes, revealing signatures of ...
Iraj Hashemzadeh Segherloo +3 more
wiley +1 more source
SPECIAL FEATURE: ECOINFORMATICS Veg-X -an exchange standard for plot-based vegetation data
, 2020 Results: The exchange standard for plot-based vegetation data (Veg-X) allows for observations of vegetation at both individual plant and aggregated observation levels.
Miquel De Cáceres +5 more
core +1 more source