Biodiversity -- Climatic factors.

Climatic changes -- Effect of human beings on -- Religious aspects -- Christianity.

Young people across the globe marched, protested, and signaled calls to action today in the name of climate change. Here's what it looked like.

South Dakota lawmakers have rejected a bill that would have allowed science teachers to discuss strengths and weaknesses of evolutionary and climate change theories.

John R. Tipton, Mevin B. Hooten, Connor Nolan, Robert K. Booth, Jason McLachlan.

Source: The Annals of Applied Statistics, Volume 13, Number 4, 2363--2388.

Abstract:
Multivariate compositional count data arise in many applications including ecology, microbiology, genetics and paleoclimate. A frequent question in the analysis of multivariate compositional count data is what underlying values of a covariate(s) give rise to the observed composition. Learning the relationship between covariates and the compositional count allows for inverse prediction of unobserved covariates given compositional count observations. Gaussian processes provide a flexible framework for modeling functional responses with respect to a covariate without assuming a functional form. Many scientific disciplines use Gaussian process approximations to improve prediction and make inference on latent processes and parameters. When prediction is desired on unobserved covariates given realizations of the response variable, this is called inverse prediction. Because inverse prediction is often mathematically and computationally challenging, predicting unobserved covariates often requires fitting models that are different from the hypothesized generative model. We present a novel computational framework that allows for efficient inverse prediction using a Gaussian process approximation to generative models. Our framework enables scientific learning about how the latent processes co-vary with respect to covariates while simultaneously providing predictions of missing covariates. The proposed framework is capable of efficiently exploring the high dimensional, multi-modal latent spaces that arise in the inverse problem. To demonstrate flexibility, we apply our method in a generalized linear model framework to predict latent climate states given multivariate count data. Based on cross-validation, our model has predictive skill competitive with current methods while simultaneously providing formal, statistical inference on the underlying community dynamics of the biological system previously not available.

Michael L. Stein.

Source: Statistical Science, Volume 35, Number 1, 31--41.

Abstract:
Climate science is a field that is arguably both data-rich and data-poor. Data rich in that huge and quickly increasing amounts of data about the state of the climate are collected every day. Data poor in that important aspects of the climate are still undersampled, such as the deep oceans and some characteristics of the upper atmosphere. Data rich in that modern climate models can produce climatological quantities over long time periods with global coverage, including quantities that are difficult to measure and under conditions for which there is no data presently. Data poor in that the correspondence between climate model output to the actual climate, especially for future climate change due to human activities, is difficult to assess. The scope for fruitful interactions between climate scientists and statisticians is great, but requires serious commitments from researchers in both disciplines to understand the scientific and statistical nuances arising from the complex relationships between the data and the real-world problems. This paper describes a small fraction of some of the intellectual challenges that occur at the interface between climate science and statistics, including inferences for extremes for processes with seasonality and long-term trends, the use of climate model ensembles for studying extremes, the scope for using new data sources for studying space-time characteristics of environmental processes and a discussion of non-Gaussian space-time process models for climate variables. The paper concludes with a call to the statistical community to become more engaged in one of the great scientific and policy issues of our time, anthropogenic climate change and its impacts.

Today leading international experts on climate change, the IPCC, presented their latest report on the impacts of climate change on humanity, and what we can do about it. It’s a lengthy report, so we’ve shrunk it down to Oxfam's five key takeaways on climate change and hunger. 1. Climate change: the impacts on crops are worse than we thought Climate change has [...]

On the frontline of climate change, effects are real and measurable. As climate change evolves, food and agriculture need to follow suit. Rising temperatures, changes in rainfall, erratic weather patterns and the prevalence of pests and diseases resulting from climate change threaten agricultural productivity and therefore undermine global food security. Simultaneously, the world’s population is growing steadily and expected to reach [...]

Climate change is what most of us perceive as the top global threat, and the dangers it poses affect present and future generations alike.  How global warming is threatening the planet has been a theme in children’s books for all ages for some time.   How everyone, especially today’s youth, can make a difference to the future of the world [...]

It is well known that forests, especially rainforests, are key allies in our fight against climate change as they absorb greenhouse gas emissions. But did you know that oceans are the earth’s main buffer against climate change? In fact, about 25 percent of the greenhouse gases that we emit actually gets absorbed by the oceans, as does over 90 percent [...]

Perhaps from outer space, it is easy to get the perspective that we only have one earth and that it is succumbing to climate change. Seeing the earth from space though is a feat that, unfortunately, most of us will never accomplish. We have to rely on Astronaut Thomas Pesquet and the other brave women and men astronauts to provide [...]

Laxmi Sunar wants to provide her daughter with the best possible education so that she can have a bright future. This is Laxmi’s dream; it is the dream that all mothers have for their children. Today though, Laxmi’s main concern is that her family has enough food to eat.

Last year, Ashmita Thapa’s husband left their hometown in southern Nepal to find work in Saudi Arabia. He had been working as a farmer and used to be able to grow enough food for the family. But now, Ashmita explains, the yields are poorer and poorer. “This is a part of climate change,” she adds. “There isn’t as much rain as [...]

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