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Abundance estimation of unmarked animals based on camera‐trap data
The rapid improvement of camera traps in recent decades has revolutionized biodiversity
monitoring. Despite clear applications in conservation science, camera traps have seldom …
monitoring. Despite clear applications in conservation science, camera traps have seldom …
Power of the people: A review of citizen science programs for conservation
VJ MacPhail, SR Colla - Biological Conservation, 2020 - Elsevier
Citizen science is a rapidly growing field whereby volunteers can collect and/or analyze data
to contribute to research and gain an appreciation for the environment. There are countless …
to contribute to research and gain an appreciation for the environment. There are countless …
Outstanding challenges and future directions for biodiversity monitoring using citizen science data
There is increasing availability and use of unstructured and semi‐structured citizen science
data in biodiversity research and conservation. This expansion of a rich source of 'big …
data in biodiversity research and conservation. This expansion of a rich source of 'big …
The recent past and promising future for data integration methods to estimate species' distributions
With the advance of methods for estimating species distribution models has come an interest
in how to best combine datasets to improve estimates of species distributions. This has …
in how to best combine datasets to improve estimates of species distributions. This has …
Addressing data integration challenges to link ecological processes across scales
Data integration is a statistical modeling approach that incorporates multiple data sources
within a unified analytical framework. Macrosystems ecology–the study of ecological …
within a unified analytical framework. Macrosystems ecology–the study of ecological …
[KİTAP][B] Integrated population models: Theory and ecological applications with R and JAGS
Integrated Population Models: Theory and Ecological Applications with R and JAGS is the
first book on integrated population models, which constitute a powerful framework for …
first book on integrated population models, which constitute a powerful framework for …
Predicting the invasive trend of exotic plants in China based on the ensemble model under climate change: A case for three invasive plants of Asteraceae
Y Fang, X Zhang, H Wei, D Wang, R Chen… - Science of the Total …, 2021 - Elsevier
Ageratina adenophora, Eupatorium odoratum, and Mikania micrantha are three highly
destructive invasive plants of Compositae in China. Through the screening of SDMs, random …
destructive invasive plants of Compositae in China. Through the screening of SDMs, random …
Using environmental DNA methods to improve winter surveys for rare carnivores: DNA from snow and improved noninvasive techniques
The management of rare species is a conservation priority worldwide, but this task is made
difficult by detection errors in population surveys. Both false positive (misidentification) and …
difficult by detection errors in population surveys. Both false positive (misidentification) and …
Species-Habitat Associations: Spatial data, predictive models, and ecological insights
Ecologists develop species-habitat association (SHA) models to understand where species
occur, why they are there and where else they might be. This knowledge can be used to …
occur, why they are there and where else they might be. This knowledge can be used to …
Spatial population genetics: It's about time
Many important questions about the history and dynamics of organisms have a geographical
component: How many are there, and where do they live? How do they move and interbreed …
component: How many are there, and where do they live? How do they move and interbreed …