Category: Michael Dietze
Earth & Environment Associate Professor Mike Dietze and his work on the Paleon Project have been featured in a new article published in The Atlantic.
Professor Dietze is CoPI on the project. Post-doctoral Associate Christine Rollinson and visiting graduate student Ann Raiho are also working on the project. Project Lead PI Jason McLachlan, who is featured in the story, is currently visiting BU on sabbatical.
Former Earth & Environment Post-doctoral Associate Jackie Matthes and her post-doctoral advisor Associate Professor Mike Dietze have published a new paper in the Journal of Geophysical Research – Biogeosciences.
The paper, “Benchmarking historical CMIP5 plant functional types across the Upper Midwest and Northeastern United States,” is first authored by Matthees and senior authored by Dietze.
The paper can be accessed online at this link.
Last week Earth & Environment Associate Professor Mike Dietze organized a meeting titled “Operationalizing Ecological Forecasting.” Dietze described the meeting in an email to the Department:
“The meeting was aimed at discussing the needs and benefits of focusing more on near-term, iterative forecasts. In other words, on making predictions that are both management- and theory-relevant on timescales that are short enough that we, as a community, learn and improve from making such forecasts. These time scales contrast with the growing ecological literature making projections under IPCC climate scenarios, which are important but will never be validated over the careers of those making the projections. The iterative part highlights the need to update predictions as new information becomes available and emphasizes the accelerated learning that comes from this. While the ecological community has gotten much better at monitoring environmental change, it needs to get better at anticipating future change as all decision making is fundamentally about the future. The combination of societal need (COP21, Executive Order on “Incorporating Ecosystem Services into Federal Decision Making”, etc) and scientific advances (e.g. unprecedented open data availability), plus our much greater emphasis on the near-term, make the time particularly ripe for such a change in perspective.”
The “Operationalizing Ecological Forecasting” meeting was attended by 21 top scientists across a wide range of ecological sub-disciplines, such as disease ecology, wildlife management, biodiversity, biogeochemistry, ecohydrology, and decision support. The meeting was hosted by the USGS Powell Center in Ft Collins, CO, funded by the National Ecological Observatory Network (NEON), and organized with the assistance of NEON Staff Scientist, Andy Fox.
More information can be found at http://ecoforecast.org/workshops/oef2016/
Fore more information on Prof. Dietze and his work, check out his profile page.
Earth & Environment Associate Professor Mike Dietze was just awarded grant funding from the Department of Defense for a new project that will focus on the risks of Tick-borne diseases that could potentially result from the effects of climate change.
In the grant’s abstract, Dietze and his colleague describe the objectives of the project:
“1) Evaluate the interactions between fire and plant invasions spanning a gradient in fire management, invasive plant distribution and abundance, and climatic conditions across the southeastern U.S.
2) Quantify the effects of fire and plant invasions, and their interactions, for variation in wildlife abundance, tick abundance, tick infection rates, and TBD risk to humans.
3) Calibrate a spatially explicit model of TBD risk in response to fire-invasion interactions and incorporate simulations of climate change scenarios to examine the responses of fire, plant invasions, wildlife, TBD risk, and their interactions.”
To learn more about Prof. Dietze’s work, check out his profile page.
Earth & Environment PhD Candidate Josh Mantooth‘s new grant project titled “Linking Tree Demography and Nonstructural Carbon in Eastern US Forests” has just been selected for Doctoral Dissertation Improvement Grant funding by the National Science Foundation.
In a summary of the project, Mantooth writes, “this project will build upon ongoing dissertation research, which aims to understand what factors are controlling tree growth and mortality in eastern US forests, by exploring the role of stores tree carbon reserves, also known as non-structural carbohydrates (NSCs), in explaining observations of tree growth and mortality.”
Mantooth is a PhD candidate studying tree carbon reserves in the eastern US. He is advised by Assistant Professor Mike Dietze.
The article, “Brown Dog software sniffs out and transforms inaccessible data,” focuses on Dietze’s NSF funded project Brown Dog and features Dietze discussing the project.
To read the article, click here.
Earth & Environment Assistant Professor Mike Dietze is in Potsdam Germany this week to give a keynote talk as part of the EU COST meeting for the “Towards robust PROjections of European Forests UNDer climate change,” or PROFOUND, project.
Dietze’s talk is titled “On the communication between models and data;” the project meeting will take place Wednesday morning at the Potsdam Institute for Climate Impact Research (PIK).
To learn more about the PROFOUND project meeting, visit COST’s website.
Earth & Environment Assistant Professor Michael Dietze was in Boulder, Colorado this week to take part in the 7th Annual National Ecological Observatory Network (NEON) Meeting.
At the meeting, Prof. Dietze organized and and ran a one day workshop on “Scaling ecological processes: theoretical, empirical, modeling, and remote sensing perspectives.”
Attending the meeting and workshop with Prof. Dietze were PhD student Josh Mantooth and Post-doctoral Associate Christy Rollinson.
To learn more about the meeting, visit NEON’s website.
To learn more about the work of Prof. Dietze, check out his profile page.
Earth & Environment Assistant Professor Michael Dietze will be in the Boston University Mathematics & Statistics Department tomorrow, Thursday October 16th, 2014, to give a lecture as part of the Statistics and Probability Seminar Series.
Dietze’s lecture, “Ecological Forecasting: An Emerging Challenge,” will be held at 4:00 pm in Room MCS 148. Tea will be served from 3:30 – 4:00 pm.
All members of the department are encouraged to attend.
To learn more about Prof. Dietze’s work, check out his profile page.
The abstract for Prof. Dietze’s lecture:
Understanding how terrestrial ecosystems will respond to climate change is one of the most critical scientific questions of our time. This is not only because these ecosystems provide the natural resources and ecosystem services our species depends upon for survival, but because feedbacks from the terrestrial biosphere are one of the greatest sources of uncertainty in climate change projections. Reducing uncertainty requires not only a better understanding of the basic science involved, but also a systematic effort to synthesize existing knowledge, quantify uncertainties, and target measurements where they maximize new information. In this effort ecologists are increasingly being called upon to make quantitative, data-driven forecasts using sophisticated statistical tools and computer models. Such models are not only tools for forecasting but also represent a mathematical formalization of our current understanding of how ecosystems function. As such they provide a critical scaffold for assimilating a diverse array of data types on different spatial and temporal scales which cannot otherwise be directly compared. My work within the nascent field of ecological forecasting is heavily focused on the assimilation of data into terrestrial biosphere models as a means of quantifying, partitioning, and reducing uncertainty about how terrestrial ecosystems will respond to climate change. In this talk I will highlight work done in my lab to confront process-based ecosystem models with data and introduce some of the tools we have been developing to manage model-data fusion. I will also discuss the nature of the ecological forecasting problem, how it differs from other forecasting problems (e.g. weather forecasting), and some of the open statistical challenges in this emerging discipline.