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1,481,144 result(s) for "Ecology."
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50 things you should know about the environment
From the icy poles to the evergreen rainforests, life has found a way to flourish in nearly every environment on Earth. This book explores the startling discoveries of new life forms in extreme environments, such as the strange worlds of the ocean depths. Whilst marveling the world around us, it also confronts the human impact on the environment. The mounting evidence for global warming is explored and challenges us to work towards a more sustainable future. Packed with facts, diagrams, infographics and photos, this is the perfect introduction to the wonder and intrigue of our environment.
Registered Reports: A new chapter at Ecology & Evolution
Ecology & Evolution has published its first Registered Report and offers the perspective of the editor, author, and student on the publication process.Ecology & Evolution has published its first Registered Report and offers the perspective of the editor, author, and student on the publication process.
You are never alone
\"[This] picture book ... explores how humans are inextricably connected to nature\"--Provided by publisher.
How much does the typical ecological meta‐analysis overestimate the true mean effect size?
Many primary research studies in ecology are underpowered, providing very imprecise estimates of effect size. Meta‐analyses partially mitigate this imprecision by combining data from different studies. But meta‐analytic estimates of mean effect size may still remain imprecise, particularly if the meta‐analysis includes a small number of studies. Imprecise, large‐magnitude estimates of mean effect size from small meta‐analyses likely would shrink if additional studies were conducted (regression towards the mean). Here, I propose a way to estimate and correct this regression to the mean, using meta‐meta‐analysis (meta‐analysis of meta‐analyses). Hierarchical random effects meta‐meta‐analysis shrinks estimated mean effect sizes from different meta‐analyses towards the grand mean, bringing those estimated means closer on average to their unknown true values. The intuition is that, if a meta‐analysis reports a mean effect size much larger in magnitude than that reported by other meta‐analyses, that large mean effect size likely is an overestimate. This intuition holds even if different meta‐analyses of different topics have different true mean effect sizes. Drawing on a compilation of data from hundreds of ecological meta‐analyses, I find that the typical (median) ecological meta‐analysis overestimates the absolute magnitude of the true mean effect size by ~10%. Some small ecological meta‐analyses overestimate the magnitude of the true mean effect size by >50%. Meta‐meta‐analysis is a promising tool for improving the accuracy of meta‐analytic estimates of mean effect size, particularly estimates based on just a few studies. Meta‐analytic estimates of mean effect size can be imprecise and overestimate effect magnitude, particularly if the meta‐analysis includes few studies. Here, I use meta‐meta‐analysis (meta‐analysis of meta‐analyses) to quantify and correct for overestimation of the magnitude of mean effect sizes in ecological meta‐analyses. The typical (median) ecological meta‐analysis overestimates the magnitude of the mean effect size by ~10%, and some meta‐analyses overestimate the magnitude of the mean effect size by >50%.
You are stardust
Introduces readers to the extensive and surprising ways in which they're connected to the natural world around them.
VertNet: A New Model for Biodiversity Data Sharing
  Collectively, nearly 4.5 million occurrence records from 867,000 distinct locations have been georeferenced following best practices [13] by leveraging geographic resources and expertise at each institution. Since 2003, at least 175 undergraduates and 282 higher level researchers from 161 institutions in 40 countries have been trained directly through project activities, including 14 international georeferencing workshops. Acknowledgments We'd like to thank National Biological Information Infrastructure for support of the VertNet project and the VertNet Steering Committee for leadership and guidance. Besides the authors listed in the authorship list, the Steering Committee includes Hank Bart, John Bates, Gladys Cotter, James Hanken, Craig Moritz, Nancy Simmons, and Linda Trueb.
Ecology : a very short introduction
\"Understanding how our living environment works is essentially a study of ecological systems. Ecology is the science of how organisms interact with each other and with their environment, and how such interactions create self-organising communities and ecosystems. This science touches us all. The food we eat, the water we drink, the natural resources we use, our physical and mental health, and much of our cultural heritage are to a large degree products of ecological interactions of organisms and their environment. This Very Short Introduction celebrates the centrality of ecology in our lives. Jaboury Ghazoul explores how ecology has evolved rapidly from natural history to become a predictive science that explains how the natural world works, and which guides environmental policy and management decisions. Drawing on a range of examples, he shows how ecological science can be applied to management and conservation, including the extent to which theory has shaped practice. Ecological science has also shaped social and cultural perspectives on the environment, a process that influences politics of the environment. Ghazoul concludes by considering the future of ecology, particularly in the light of current and future environmental challenges.\"--www.bookdepository.com.
Regional Decline of Coral Cover in the Indo-Pacific: Timing, Extent, and Subregional Comparisons
A number of factors have recently caused mass coral mortality events in all of the world's tropical oceans. However, little is known about the timing, rate or spatial variability of the loss of reef-building corals, especially in the Indo-Pacific, which contains 75% of the world's coral reefs. We compiled and analyzed a coral cover database of 6001 quantitative surveys of 2667 Indo-Pacific coral reefs performed between 1968 and 2004. Surveys conducted during 2003 indicated that coral cover averaged only 22.1% (95% CI: 20.7, 23.4) and just 7 of 390 reefs surveyed that year had coral cover >60%. Estimated yearly coral cover loss based on annually pooled survey data was approximately 1% over the last twenty years and 2% between 1997 and 2003 (or 3,168 km(2) per year). The annual loss based on repeated measures regression analysis of a subset of reefs that were monitored for multiple years from 1997 to 2004 was 0.72 % (n = 476 reefs, 95% CI: 0.36, 1.08). The rate and extent of coral loss in the Indo-Pacific are greater than expected. Coral cover was also surprisingly uniform among subregions and declined decades earlier than previously assumed, even on some of the Pacific's most intensely managed reefs. These results have significant implications for policy makers and resource managers as they search for successful models to reverse coral loss.
Coastal habitats
Introduces coastal habitats, covering such topics as landforms, waves, currents, estuaries, coral reefs, plants and animals, and the threats posed by pollution, overfishing, and global warming.
Camera trapping in ecology: A new section for wildlife research
Camera trapping has consequently spread across the global south and developing countries (Agha et al., 2018; Cremonesi et al., 2021; Galindo-Aguilar et al., 2022). Many private citizens run their own camera traps; networking observations from these citizen scientists have yielded great insights and will continue to do so (McShea et al., 2016). [...]though camera trapping has largely been used for mammals, it is expanding taxonomically to include vegetation communities (Seyednasrollah et al., 2019; Sun et al., 2021), herptiles (Moore et al., 2020; Welbourne et al., 2020), and avifauna (Jachowski et al., 2015; Murphy et al., 2018).