Mechanistic forecasts of species responses to climate change: the promise of biophysical ecology
NJ Briscoe, SD Morris, PD Mathewson… - Global Change …, 2023 - Wiley Online Library
A core challenge in global change biology is to predict how species will respond to future
environmental change and to manage these responses. To make such predictions and …
environmental change and to manage these responses. To make such predictions and …
Outstanding challenges in the transferability of ecological models
Predictive models are central to many scientific disciplines and vital for informing
management in a rapidly changing world. However, limited understanding of the accuracy …
management in a rapidly changing world. However, limited understanding of the accuracy …
Genomics and epidemiology of the P. 1 SARS-CoV-2 lineage in Manaus, Brazil
Cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in
Manaus, Brazil, resurged in late 2020 despite previously high levels of infection. Genome …
Manaus, Brazil, resurged in late 2020 despite previously high levels of infection. Genome …
Iterative near-term ecological forecasting: Needs, opportunities, and challenges
Two foundational questions about sustainability are “How are ecosystems and the services
they provide going to change in the future?” and “How do human decisions affect these …
they provide going to change in the future?” and “How do human decisions affect these …
Model averaging in ecology: A review of Bayesian, information‐theoretic, and tactical approaches for predictive inference
CF Dormann, JM Calabrese… - Ecological …, 2018 - Wiley Online Library
In ecology, the true causal structure for a given problem is often not known, and several
plausible models and thus model predictions exist. It has been claimed that using weighted …
plausible models and thus model predictions exist. It has been claimed that using weighted …
Situating ecology as a big-data science: current advances, challenges, and solutions
Ecology has joined a world of big data. Two complementary frameworks define big data:
data that exceed the analytical capacities of individuals or disciplines or the “Four Vs” axes …
data that exceed the analytical capacities of individuals or disciplines or the “Four Vs” axes …
The Neotoma Paleoecology Database, a multiproxy, international, community-curated data resource
The Neotoma Paleoecology Database is a community-curated data resource that supports
interdisciplinary global change research by enabling broad-scale studies of taxon and …
interdisciplinary global change research by enabling broad-scale studies of taxon and …
Perspective: Advancing the research agenda for improving understanding of cyanobacteria in a future of global change
Harmful cyanobacterial blooms (= cyanoHABs) are an increasing feature of many
waterbodies throughout the world. Many bloom-forming species produce toxins, making …
waterbodies throughout the world. Many bloom-forming species produce toxins, making …
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 …
The AmeriFlux network: A coalition of the willing
AmeriFlux scientists were early adopters of a network-enabled approach to ecosystem
science that continues to transform the study of land-atmosphere interactions. In the 20 …
science that continues to transform the study of land-atmosphere interactions. In the 20 …