Peter examines how species interactions mediate the impact of climate change on plant communities and if plant functional traits can predict population and community dynamics.

Andrew is interested in using ecological forecasting tools to understand the seasonal distribution and abundance of marine species and support decision making processes.

Krishna works on understanding and forecasting tropical tree growth dynamics. As a postdoctoral fellow with ForestGEO at the Smithsonian Institution, she works on a state space model of tree growth by fusing three days streams from two permanent plots- forest inventories, tree rings and annual dendroband measurements.

Jaime uses decision analysis, population dynamics models, and climate data to investigate optimal management of natural resources in a changing world. Jaime's work includes applications to conservation, threatened & endangered species, sustainable harvest, and invasive species.

Emma's research works towards better understanding the population dynamics and spatial ecology of hermaphroditic spot prawns (Pandalus platyceros), in the coastal waters of British Columbia, Canada. Emma uses population models, long-term datasets, and fieldwork to address biological information gaps and place my work in the context of the prawn-by-trap fishery in BC.

Alex is investigating climate-induced species redistribution

Oluwatosin's research focuses on modeling the transmission dynamics high pathogenic avian influenza (H5N1) and assessing the economic impact with the population. By incorporating phylodynamic and mathematical model, he aims to develop an approach that would account for the cross-species transmission and environmental drivers.

Francis develops mathematical models to predict the structure of food webs on a global scale in his doctoral studies.

Brittany develops ecologically-informed models to help agricultural decision-makers with managing and monitoring pests, their crop hosts, and their natural enemies. Her most recent work focuses on predicting both where and when to expect invasive species before they can establish and spread.

Ecosystem responses to disturbances and global change drivers at landscape scales, mostly using dynamic vegetation models, but also multitrophic approaches.

Carly is a primatology and conservation technology PhD candidate who uses passive acoustic monitoring to survey ruffed lemurs in Madagascar, implementing machine learning & species distribution/occupancy models to process those data.

Meghan's interests are in forecasting population dynamics during disturbance events and capturing spatial dependence in forecasts.

Billur's research focuses on understanding the effects of climate change on vegetation dynamics, particularly in mountainous regions. To achieve this, she uses a combination of field experiments and process-based models.

Quentin is an agricultural modeller interested in applying near-term forecasting for agricultural decision making, particularly by predicting management effects on yield and the carbon cycle.

Joe is studying species at risk population forecasting, intersection with policy

Deepit is interested in investigating how early warning system indicators such as autocorrelation can be used in "reverse"--i.e., to understand (and forecast) when certain areas are closer to disease elimination at the local level.

Tracy's area of research is applied data analytics/data science that crosses disciplinary areas. She is particularly interested in working with integrated bioscience faculty and students on research that impacts/affects/informs the status of the natural environment.

In Peter's work, he strives to understand the mechanistic causes of species' range shifts in response to climate change in mountainous regions in order to inform and forecast upcoming shifts. In doing so, Peter aims to help inform climate adaptation planning across numerous temporal and spatial scales.

Joanna is interested in forecasting aquatic ecosystem dynamics and water quality using high-frequency sensor measurements.

Using forecasting to improve controllability of ecological community dynamics

Korryn is broadly interested in combining near-term forecasting with One Health to predict and prevent the emergence and spread of infectious diseases that impact wildlife, domestic animals, and humans.

Carl is interested in the theory of ecological forecasting, understanding the limits to forecasting, what makes it different in ecology, and how we can approach robust decision-making despite limited forecasting ability. Carl is also on the EFI RCN Steering Committee.

Jessica is a PhD Candidate working with commercial fishers and seafood processors to create seasonal forecasts of the likelihood of harvesting swordfish exhibiting myoliquefaction ("jellymeat") off Eastern Australia.

Jonathan is working towards building both near- and long-term forecasts of water quality and food web dynamics for Lake George, NY.

Vicky is interested in the use of sub-seasonal to seasonal meteorological forecasts to inform decision making in agriculture, disaster risk management and conservation. She has particular expertise in African drought forecasting and elephant conservation.

LM studies how freshwater resource pulses alter host-parasite dynamics through ecological theory, modeling, and experimental work. LM's approach combines individual-level bioenergetic theory with Ecological Stoichiometry theory to build population-level scenario modelling predictions.

As a previous land manager, Jeremy dealt with the consequences of poor decisions that left a large impact on the environment. Forecasting research would enable land managers to make better decisions based on predictable patterns and improve the outcomes of restoration projects.

Andrew is new to ecological forecasting, and looking forward to learning!

Jorge works on the spatial dynamics of marine systems and animal movement forecasts, and their interaction with climate change.

Stephanie is interested in ecological predictability and forecasting of marine living marine resources for ocean management.

Cole is interesting in forecasting food webs and disease dynamics in response to global change. He focuses specifically on forecasting how anthropogenic change will "rewire" both predator-prey and host-parasite interactions, and what that means for the stability of communities.

Christopher is interested in developing and transitioning local and regional scale ecological forecasts and systems of the coastal oceans to operations.

Matthew works for the Radical Open Science Syndicate (ROSS) at Colorado State University, where he focuses on using reproducible workflows to harmonize large, open water quality and remote sensing datasets.

Julien does not yet do much forecasting. Julien's primary research is on ecosystem transitions in response to water availability changes with a focus on vegetation and remote sensing monitoring

Lauren aims to leverage organismal biology (particularly physiology) to improve ecological and evolutionary forecasts and to develop computational and visualization tools to translate climate change into biological responses (the TrEnCh project).

Mark is interested in facilitating spatial conservation prioritization and biodiversity conservation by furthering our understanding of how species distributions and ecological communities may shift in response to global change.

Nievita is interested in diversifying the field by providing connections between her Native American, Alaska Native, Native Hawai'ian, Hispanic, and African American students who come from majors in many diverse fields and opportunities for paid internship research and graduate opportunities which may be available throughout the network. Nievita is on the EFI Steering Committee.

Jessica is a AAAS Science & Tech policy fellow with the NASA Ecoforecasting Program in Earth Science Division, Science Mission Directorate, focusing on the Applied Science projects. Jessica's research interests include better understanding the pipelines and workflows for data and information use in research and application.

Wilton uses high-frequency environmental sensor data to better understand, predict, and plan for harmful cyanobacteria blooms in freshwater systems in New England.

Nathan works with a variety of quantitative tools and approaches to predict climate and land use change effects on sensitive taxa and systems by using a combination of hierarchical Bayesian approaches, species distribution, agent-based, and demographic modelling approaches, applied to avian, reptilian, and mammalian taxa.

Kristin is interested in forecasting dynamic wildlife habitats and potential for climate resilience in wetlands and working landscapes.

Jamie develops ecological forecasts of infectious disease dynamics in people and wildlife. She is particularly interested in the climate-disease relationships and currently has projects forecasting mosquito-borne diseases in Sub-Saharan Africa and South America and coral disease outbreak risk in the Pacific Ocean.

Kyle is interested in the monitoring and measuring of the health, carbon sequestration, and productivity of seagrass meadows.

Cayelan's research focuses on water quality forecasting, forecasting for management. Cayelan is also on the EFI RCN Steering Committee.

Michael is interested in the intrinsic forecastability of the dynamics of metapopulation and metacommunities, and using simulation (primarily in the Julia language) to generate synthetic data, to which forecasting methods can be applied to test their efficacy.

Kaelin is not currently active in forecasting research. However, while working at NEON she has been interested in facilitating the use of NEON's data (and other data sources) for forecasting applications. Kaelin's background is dissolved organic matter fate and transport in the environment and she is interested in connecting with folks studying carbon cycling.

Sudipto is interested in Biodiversity and Conservation and Landscape Ecology.

Tina is interested in applying technological and forecasting tools to conservation solutions, particularly in relation to the management of bats affected by the disease, white-nose syndrome, in North America.

Alex is an ecologist, simulation modeller and co-developer of the open source SpaDES simulation platform. He supports the development and integration of models simulating forest vegetation dynamics, wildfire, insect disturbance, and wildlife populations to inform decision making for land management and species at risk. Alex is an advocate for open source, open data, and reproducible workflows.

Francois is interested in forecasting water quantity and quality in lakes and reservoirs mostly with process-based models, investigating sources of forecasting skill, and adapting forecasting tools to management.

Alessio's background is in Forest Ecology, Carbon and Nitrogen Cycle, Forest and Vegetation Modelling, particularly with regard to vegetation numerical modelling and response under natural and anthropogenic stress, including climate change impacts and forest management scenarios.

Elyssa's research focuses on building large scale geospatial forecasts that predict the impacts of flooding on infrastructure under various climate, land use, and adaptation scenarios.

Kathy is interested in forecasting cyanobacterial blooms in freshwater lakes, especially low-nutrient lakes where blooms occur only intermittently in space and time.

The USA National Phenology Network currently offers short-term (6d) threshold-based forecasts of the start of spring and several insect pest and plant phenological events. (more at www.usanpn.org/data/forecasts)

Jonathan conducts ecological forecasting to assess species status and provide decision support for endangered species act implementation.

Diana is the director of Diversity and Broader Impacts at St. Anthony Falls Laboratory at UMN. The focus of her work has been on broadening participation of underrepresented students, and particularly Native Americans in STEM.

Andria uses quantitative methods and ecological data to address questions about spatio-temporal vegetation and climate change. Keywords: Bayesian, modelling, paleo-ecological, forest

Elvira is interested in understanding how LTER data can be used to build accurate models of future ecological conditions.

Forecasting of land-atmosphere fluxes to advance understanding of scaling and modeling Earth system processes using a variety of methods including eddy covariance flux towers.

Michael leads the Near-term Ecological Forecasting Initiative and the PEcAn Project. He is the Director of the grassroots efforts of the Ecological Forecasting Initiative and the Chair of the EFI Steering Committee.

Megan's team is developing forecasts for coral disease outbreaks across the Pacific in partnership with NOAA Coral Reef Watch.

Sean is passionate about bringing non-expert and expert communities together to realize shared visions for equitable and sustainable futures. As a Designer and Technologist, Sean bridges this gap by co-creating products, services, and systems with communities through a Diversity, Equity, Inclusion, and Justice lens using design thinking and participatory methods.

Michael's interests are in examining biodiversity in the face of climate change, at both the community and species level, and integrated with other biophysical drivers, threats and pressures

Joe uses mechanistically-motivated statistical forecasts to better understand the spatiotemporal dynamics of wildlife populations and optimize survey designs and monitoring programs.

Bikem is trying to discern the future direction and speed of the migration of woody taxa (forest species) due to climate change for the Anatolian Peninsula and its immediate surroundings by means of a DGVM and different sources of climate data. Bikem is interested in both horizontal and vertical migration of species; its effects on biodiversity and ecosystem resilience.

Dr. Gamal is very interested to study extreme weather events like drought, heatwaves, flash floods, desertification, etc. and their frequency under climate change conditions. He is using meteorological applications in different environmental studies, such as its relation and impact on the health sector especially Allergy and Asthma. At the same time, he is using the WRF model in different applications to validate its output comparisons with reality.

Diego's PhD consists in integrating remote sensing, animal telemetry and auxiliary information for near-term forecasting of animal responses to anthropogenic and environmental change.

Mohammed's specialization in developing models for forecasting high-frequency environmental time series with a focus on complex seasonal patterns in climate time series.

Mira is working on creating an early spring forecast of fine fuel loads in the Intermountain West to help managers make wildfire risk assessments.

Morgan's work focuses on forecasting future biodiversity states as a means for assessing our theoretical understanding of the drivers of biodiversity dynamics.

Omomoh Bernard is strongly interested using diversity metrics to forecast forest conservation, restoration, regeneration of different land used type and mitigating species invasion in protected areas

Johnathan is interested in co-desgining ocean forecasts with their intended end-users that support the growth of the blue economy

Guillermo's interest spans biogeography, population ecology, genetics, and conservation biology. He is particularly interested in analyzing how individual, population and species respond to global change (climate and land-use) across several spatial and temporal scales. Guillermo's final goal is to advance into a more reliable predictive ecology and, as a consequence, provide critical knowledge to support better biodiversity conservation.

Nima's research works towards supporting climate-readiness and sustainable fisheries by applying statistical approaches and developing visualization tools to better understand climate-induced redistribution of marine predators and fishing fleets.

Olufemi is interested in forecasting forest productivity (biomass) in view of future climate conditions.

Anita is currently assisting Dr. Jody Peters, the EFI Program Manager, in the McLachlan Lab at the University of Notre Dame.

Istem is interested in forecasting terrestrial ecosystems and improving models through statistical methods.

Jake is interested in predicting future population abundances and predicting future species ranges.

Catherine is a Fisheries Biologist in the Ecosystem Surveys Group with the Northeast Fisheries Science Center. Her work focuses on fisheries independent survey implementation, as well as data analysis and visualization.

Broadly Grant is interested in how disease persists in and affects the structure of natural communities, and I hope to be able to use ecological forecasting techniques to predict how disease-community dynamics may be affected by changing environments.

John is working with USDA to build forecasts for feral swine abundance to help inform their management.

Josh is interested in plant population demography and microbial symbioses, interested in incorporating species interactions for forecasting species range shifts and responses to environmental variability.

Andrew studies the terrestrial carbon cycle, from leaf to global scales, and over time periods from seconds the millennium with a focus on how to improve ecological forecasts using different types of observations and data assimilation techniques. He is on the EFI RCN Steering Committee.

Nico is the principal investigator of the National Ecological Observatory Network (NEON) Biorepository at Arizona State University, and is focused on broadly promoting the integration of NEON and natural history collections organismal data in ecological forecasting.

Marjorie's team at VIMS has developed a forecasting system that produces short-term forecasts of hypoxia, acidification metrics, and harmful algal blooms for the Bay, and an annual hypoxia report card to track progress towards attaining water quality standards. Through their ongoing collaborative work with Chesapeake Bay Program managers as well as fisheries and aquaculture industry members, the team continues to work to make their science highly relevant and useful for Chesapeake Bay stakeholders.

Kathryn is participating in the EFI NEON Ecological Challenge and plans to incorporate the skills gathered during the challenge in her wildfire research.

Gideon is interested in forecasting future lake water quality and ecosystem conditions.

Cara is an ecophysiologist fascinated by research at the interface of animal energetics, behavior, and conservation, with key interests in how energy shapes patterns in ecology and influences species risk under human disturbance. She is a postdoctoral researcher and modelling the role of energetics in the emergence of life history patterns and population dynamics using physiological theory and agent-based modelling.

Amanda is forecasting spring plant phenology across the USA using data from NEON and the National Phenology Network.

Matthew is interested in analyzing and (eventually) forecasting insect outbreaks and dispersal in boreal forests, especially the spruce budworm.

Bradley is working on Arctic-Boreal Permafrost Dynamics, Land Carbon Cycle Modeling, and Ecosystem Response Forecasting

As a new quantitative ecologist, Alison's forecasting research is "under construction" but she is interested in phenology of insects (particularly stored product insect pests) and how we can forecast their emergence and peak infestation times during the year. Alison is also interested in risk assessment of stored grains and when they may be at highest risk for infestation or when treatment for insect infestations may be needed.

Michael's application area is in translation of ecological forecasts to actionable science for decision-making. Specifically, Michael has expertise in stakeholder engagement and decision support tool design and testing.

Sophie is working to forecast predator-prey, plant-herbivore, and human-wildlife interactions in the Western US, in order to foster coexistence by maximizing ecosystem service delivery while minimizing disservices.

Nigel's group uses models including trophic interactions and climate effects to forecast population dynamics of harvested, threatened and key species in boreal/arctic ecosystems.

Olivier is interested in forecasting species demography and distribution in the context of global change

Andrew's research focuses on improving the analysis and near-term predictions of ecological phenomena near built infrastructure and the associated engineering/management actions that can alleviate tension sometimes arising from meeting the multiple needs of both the environment and human society

Aaron's group aims to predict how ecosystems respond to disturbance events across space and time. They are working on utilizing neat-term forecasting for long-term animal and plant datasets from central Australia as part of an ARC grant.

Ashton is a former ecologist working in industry, wanting to get back into ecological work and grow engineering skill set.

Geoffrey is working to mobilize ecological datasets into analysis-ready products that support forecasting and prediction.

Pablo's research focuses on forecasting the response of tropical stream ecosystems to large-scale disturbances (e.g., hurricanes, droughts, ENSO).

I am interested in forecasting carbon cycle processes in a recently experimentally-disturbed northern temperate forest (within the FoRTE project, #FoRTExperiment) and at a restored freshwater tidal wetland site in Virginia.

Sandra is interested in forecasting population dynamics and species interactions in northern ecosystems for guiding adaptive management and conservation.

Brennan's research currently focuses on National Ecological Observatory Network (NEON) ground beetle community modeling, and methods to address data missingness in big biodiversity datasets.

Elizabeth's interests lie in the phenology of deciduous trees native to central Texas (the Edwards Plateau ecological region), to deepen the understanding of the impacts of climate change on sheltered species, such as the Uvalde Bigtooth Maple.

John-André uses dynamic food web models (i.e. including trophic interactions and local climate effects) to forecast population dynamics of harvested and other key species in boreal/arctic ecosystems.

Jonas works with various sensors and AI to study breeding seabirds. He hopes to use the data streams from those systems to build predictive models for seabirds breeding ecology.

Will works on Bayesian state space models to create probabilistic forecasts for terrestrial and marine ecosystems. He is interested in model selection techniques, especially metrics for model comparisons.

Dalei works on predicting terrestrial carbon cycle (GPP, SIF) and vegetation phenology.

Mike develops process-based whole ecosystem models (www.madingley-model.org) and is applying it to socio-ecological futures. He is interested in the development of our ecological understanding through forecasting and how we can move from stylised scenarios to more useful forecasts.

Güray is estimating sources of nitrogen pollution to the rivers to make two types of forecasts: 1) via changes in their sources, 2) via the proxy variables that are easier to track, such as through remote sensing.

Kelly's research aims to understand and forecast the forest responses to multiple environmental changes across multiple scales, with the overall goal of managing systems for a resilient future.

Victoria explores methods for eliciting and improving expert judgment when data is poor or absent and is interested in determining whether we can use these techniques to provide a baseline of species distributions and population size estimates which can then be used by decision-makers for assessing the impacts to threatened species.

James is interested in testing ecological theory using explicit spatial patterns of corals along environmental gradients, especially wave energy, at different spatial scales.

Alistair's research focus is on marine ecoforecasts for pelagic species, at seasonal time scales and marine heatwave forecasting.

Jenny's research leverages large-scale and long-term data to inform the spatial planning of conservation. By accounting for mechanisms of dispersal and population growth, she aims to develop methods that are more robust to ongoing climate- and land use- changes. Jenny also worked in partnership with practitioners to develop the Condatis model of range-shifting connectivity.

Rod is interested in understanding the nexus between Natural Capital Accounting, SEEA and Ecological Forecasting

James is a wetlands ecologist focused on researching carbon cycle and sea-level rise resiliency issues at large spatial scales, as well as facilitating collaboration in the coastal carbon science and management communities.

Jeff is convinced that predictive ability is the only way to assess and estimate how much we know. Jeff's lab is working on projects that estimate how much we know about fundamental ecological questions.

Dexter studies carbon cycling and ecological forecasting in lakes and reservoirs.

John is interested in using forecasting and Bayesian inference to understand the transmission dynamics of vector-borne diseases and inform their control.

Catherine studies the linkages between plant functional traits, environmental variability, and population and community dynamics in tropical and temperate mountains.

Robert researches coastal shorescapes and develop species distribution models of coastal species under current and future conditions.

Katie is interested in stream temperature forecasts in relation to heat waves and human activities including waste water effluent.

Nick's application area is in advising government agencies on scale of ambition required to deliver biodiversity targets.

Rodolfo is interested in spatial modelling and land use (deforestation) forecasting.

Mingkai is building a near-term ecological forecasting platform for EucFACE under ambient and elevated CO2 treatment

Leah develops statistical methods to integrate data into complex biological models, particularly applied to understanding how climate change will impact the transmission of vector-borne infections.  Leah is on the EFI RCN Steering Committee.

Thomas is working on forecasting biodiversity change

Chris is interested in forecasting the spread and population growth of invasive pest and pathogen populations.

Matt's interests center around sustainable cyberinfrastructure for reproducible science, with an emphasis on supporting preservation and reuse of complex research objects and computing environments for cross-cutting synthesis, analysis, and forecasting.

Much of Jim's research takes place at the intersection of ecosystem and food web ecology. He is interested in how we can understand and predict the dynamics of energy and element cycles through ecosystems in space and time, and in particular, how the dynamics of populations and communities modulate these cycles.

Noël is interested in predicting the effects of multiple interacting anthropogenic stressors on freshwater communities and food webs over time and space.

Meghan is using location data and quantitative methods to address questions about survival and spatial responses of mesopredators to human development and rodenticides.

Mira took Mike Dietze's Eco Forecasting graduate class and is producing a phenology forecast for the NEON Forecasting Challenge.

William's interest is in the application of Complex Systems Research, particularly Network Theory, to Ecological Forecasting. Ecological Forecasting is now well within the realm of "big data", datasets are growing exponentially, and new methods such as Complex Systems Research may significantly increase our understanding of Ecology.

The goal of Dr. Kenney's program is to understand and improve the stakeholder engagement processes and decision support tools that aid environmental management decisions, both in the public and private sectors.  Melissa is also on the EFI RCN Steering Committees.

Jeremy is identifying processes that contribute to extinction risks for species during climate change, or that can improve their prospects of persistence or colonisation elsewhere and identifying mechanisms and strategies to protect biological diversity.

Sikander's background is in physics and complex systems science, and his interests are in theoretical ecology including community ecology, ecosystem ecology, spatial ecology, eco-evolutionary dynamics, and ecological forecasting. Sikander is also generally interested in using mathematical, computational, and statistical models to study ecology.

Ashley is very curious and passionate about the conservation tech space, especially about biodiversity issues, and is learning as much as possible. So far, the most exciting projects Ashley has discovered surround AI-powered camera traps for species identification and computer vision.

Matt is interested in understanding and forecasting the effects of climate change on plant biodiversity at macroecological scales.

Dave leverages mechanistic microclimatic and biophysical models to understand ecological responses to past, present, and future climatic and land use change. Current projects including global microclimate mapping, the influence of land use on amphibian distributions in Madagascar, and forecasting climate connectivity.

Gerbrand's research focuses on quantifying and better understanding the cycling of carbon and water between atmosphere and vegetation. Gerbrand is interested to learn how environmental conditions influence this exchange.

Cazimir works on the prediction of prairie forest dynamics at a Paleo timescale

Koen works on carbon capture projections for forest restoration projects

Shannon works on vector ecology, pathogen transmission, and disease risk

Amaïa's research interests focus on the eco-evolutionary dynamics of (meta)populations and their capacity of persistence and adaptation to global changes. Amaïa is using demo-genetic individual-based models to simulate the future of salmon populations under various scenarios.

Christine's primary professional interest is in making ecological data more accessible to a wide array of communities. She leads development of NEON's data portal and works on ecological informatics projects. Chrfistine is on the EFI RCN Steering Committee

Jake's interests in forecasting pertain to forecasting distribution shifts of ecologically and economically relevant species, mostly in coastal marine habitats. He hopes to build species distribution forecasting tools that can help direct ecological management or restoration efforts.

Nathan is currently working on a project working to increase the accuracy of early-day disease forecasts. Nathan also has experience forecasting zoonotic reservoir distribution for Lassa fever.

Abby studies biogeochemistry and ecological forecasting, particularly in a freshwater context.

Jianwei is interested in integrating weather, soil, plant to project soil carbon dynamics in response to warming.

Joshua has completed various analyses for research projects using Bayesian Mixing models within Florida Bay of Everglades National Park.

Mary is interested in forecasting phytoplankton communities in freshwater ecosystems.

Danica's research focuses on how terrestrial ecosystems are changing in response to human activities and the impact that these changes have on climate. I use a combination of field and laboratory techniques, ecological models, and data synthesis to address these questions across space and through time.

Robert is interested in near-term forecasting of wildlife populations and dynamic patterns of co-occurrence among competitive species. He works at the intersection of science and management and is interested in leveraging long-term harvest and monitoring data for near-term forecasting.

Kelly is interested in coastal and inland water quality forecasting.

Heather works on the MAPPPD project which calculates occupancy probabilities and presents graphical output which projects how penguin populations will change in the future.

Charlotte is currently focused on forecasting the spread and impact of invasive forest pests, as well as recovery dynamics following invasion.

Matthew is currently working on "Empirical Dynamic Modeling of Harmful Algae Blooms". It utilizes a non-linear reconstruction with supervised AI to infer causality, predictability, linearity, and more.

Emily is a Research Fisheries Biologist in the Eastern Bering Sea Survey Team in the Groundfish Assessment Group at NOAA Fisheries Alaska Fisheries Science Center (AFSC). She has provided statistical and data visualization expertise for the national annual Fisheries Economics of the US report and has worked on sea turtle issues and marine mammal acoustics.

Jackie is working on a project to forecast the impacts of invasive forest insects and pathogens, and she also develops inclusive pedagogical resources for teaching foundational forecasting concepts and tools.

George is not a forecaster, but manages a data collection program that may be of interest to forecasters. The eMOLT program is a collaborative effort between commercial fishermen, the Gulf of Maine Lobster Foundation, and the Northeast Fisheries Science Center that uses sensorized fishing gear to collect near-real-time observations of ocean temperature and dissolved oxygen concentrations.

Ana Carolina is interested in developing ecological empirical models to predict marine biodiversity patterns in coastal habitats, currently working on rocky shores, tropical reefs, and rhodolith beds.

Tess models how disturbances such as invasive grasses, management, land use & fire affect pine forest stands in the Southeastern United States. Tess wants to understand what modeling ecosystems can tell us about ecological theory, and how improving ecological theory can help make ecosystem behavior easier to predict.

Ryan is excited about forecasting ecosystem processes and parsing uncertainty as a means to better understand how improvements to predictions can be made.

Dan is interested in developing forecasts of biodiversity. He has worked with a range of taxa (plants, birds, and fish) in the past, and most of his current work has examined the scale-dependent nature of biodiversity.

Kenton's aim is to support the evolving cyberinfrastructure needs within emerging areas such as ecological forecasting having developed data management tools, workflows, and scientific gateways for efforts such as PEcAn.

Jason is using experiments, paleo observations, model prediction, and prior studies in a Bayesian assimilation framework strengthen predictive forecasting of salt marshes. Jason is on the EFI and RCN Steering Committees.

Tom oversees point count survey data collection for songbird species. This data is used to understand conservation-relevant topics like the impact of forest health treatments on songbird distributions and the effects of disturbance on songbird communities.

Megan has experience and skill base in enriching plot data to support site-scaled assessments of vegetation condition, blending bioinformatics and ecological modelling to inform biodiversity and conservation policies to meet nature-positive targets.

Belinda's research focuses on forecasting vegetation function. Special interests Australian vegetation and drought mortality.

John works on modelling the effect of weather variables on plant demography

Brandon is interested in forecasting wild population trends (abundance, density, occupancy, etc.) while accounting for uncertainties relating to the changing climate/environment.

Félicien researches the impact of climate change on the functioning and resilience of tropical forests, particularly in central Africa. He is working with machine learning emulators of land surface model to get near real time and forecasts of model-estimates and remote sensing products of carbon cycle variables in those ecosystems.

Michael is predicting community shifts in nearshore lake systems

Nate is interested in forecasting forest structure and woody fuels as a future baseline for future fuel loads under differing climate scenarios and how that impacts future wildfire.

Joe is interested in insect biodiversity modelling and crop pollination risk projection, using data synthesis among multiple evidence types.

Aabid is working on climate envelope and ecological niche modelling for the conservation of endangered plants in Indian Himalaya.

Melania is interested in the impact of climate change and air pollution on economy and society and on human health and forest ecosystem services evaluation under different managements and climates.

Mohamed is interested in forecasting freshwater ecosystem dynamics in response to multiple stressors including changes land use in surrounding landscapes and climate.

Libby works on forecasting water quality in freshwaters using models that integrate physical and biogeochemical processes.

Ehren's research focus is on discovering generalizable plant functional traits as drivers of arthropod communities across environmental settings for integrated pest management in agricultural systems.

Glenn is developing forecasts for vegetation dynamics in distrubance-prone, non-forest ecosystems. This is mostly done using machine learning and remotely-sensed data, and hence Glenn spends a lot of time thinking about how to produce well-calibrated uncertainties for these types of models.

Jeff is interested in developing and utilizing ecological forecasting that is co-produced with the wide range of stakeholders engaged with forest and rangeland management.

Bailey is developing an IAV mapping and forecasting tool from Sentinel-2 imagery and airborne imaging spectroscopy to monitor and forecast the impacts of management actions on invasive aquatic vegetation distributions in the Sacramento-San Joaquin Valley Delta in California to help stakeholders incorporate this knowledge into their Structured Decision Making Frameworks.

Hassan works on ecological fishery forecasting of short-lived species to inform fisheries management.

In Cee's role as a data visualization specialist at USGS, they create visuals to communicate the process and outputs of forecasting efforts.

Robert is interested in forecasting changes in wildlife habitat in the northern Great Plains. Robert is also interested in environmental and climate justice and how decisions of those in power impact Indigenous communities who have inhabited this land for far longer than settler communities, and who may have different values for the lands and waters that we all depend on. 

Madeline studies the impacts of climate and land use change on Wild Rice in the upper Great Lakes Region in partnership with Ojibwe Nations.

Iris is currently developing iterative tree seed rain forecasts and especially interested in geographical upscaling of local (terrestrial) ecological processes, and communicating predictions in a both use- and meaningful way to the associated practitioners within the tree seed system.

Jim is interested in looking at continental scale metagenomic data from NEON in response to nitrogen gradients.

Kyle's research is on forecasting the movement of marine megafauna and its relation to changing climate parameters.

Freya is working on multi-model ensemble forecasts of water temperature in lakes and reservoirs

Stephen is interested in understanding how future changes in anthropogenic stressors will affect food webs and biodiversity.

Kayode's current research deals with the use of data science and machine learning tools for statistical data in disease ecology. Kayode has been able to publish some papers and some in review on forecasting of epidemics.

As part of NOAA's National Centers for Coastal Ocean Science, Caroline helps to produce near real time forecasts of harmful algal blooms in coastal and inland water bodies across the United States.

Karun's interests are in terrestrial modeling using dynamic vegetation models to explore vegetation biomass, and effects of fire, climate, and invasive species.

Maria investigates how individual traits and demographic rates in both plants and animals mediate population and biodiversity responses to environmental change.

Jelena is interested in community and biodiversity forecasting.

Airy is interested in model validation techniques and model improvement to enhance conservation efforts.

Janette is interested in using forecasting tools to inform sustainable management and conservation recommendations pertaining to bat species within subterranean habitats.

George's research is at the interface of palaeoecology and neoecology. George is interested in how palaeoecological data can contribute to contemporary forecasts and how neoecological forecasting methods can help us understand palaeecologicala data better.

Mario plans to develop seed production and pollen load forecasts based on historical time-series, mechanistic models, and deep-learning approaches

Owen and his team at the University of Zurich research fundamental issues of ecological predictability mostly by experimentation with model microbial ecosystems.

Jody is the Program Manager of EFI. She coordinates EFI activities to promote collaboration and communication both within and outside of EFI.

Will is working to predict biodiversity at the population-to-food web scales by understanding how an organism's demographic rates are affected by competition, predation, and abiotic drivers.

Timothée works on developing predictive models of biodiversity change and viral emergence risk, with a specific focus on problems with low data volumes

Ayush is interested in developing physics-guided machine learning methods with applications in ecological forecasting.

Janet is interested in forecasting plant phenology.

Ann is interested in improving forecasts of long-term forest community ecology by constraining ecosystem models with paleo-ecological data.

Hao Ran is interested in the transferability of trait-based joint species distribution models in New Zealand

Giovanni is interested in modeling and forecasting the responses of native and non-native intertidal organisms across the California coast to guide their protection and management.

Emily is the Chief of Web Communications for the United States Geological Survey Water Resources Mission. She is responsible for the digital delivery of water data and information in accessible, discoverable, and interoperable formats.

The Tandy Center for Ocean Forecasting is a computational oceanographic team at Bigelow Laboratory. We work with stakeholders to develop and deploy real-time ocean forecasting tools for industry, conservation, resource management, communities, and education. Our aim is for people to have access to tools and resources they need to use and deploy forecasts.

Jamie's research focuses on predicting terrestrial arthropod community composition and nutrient availability for trophic transfer. Jamie combines field and laboratory methods to quantify arthropod nutrient content, relate community-level biomass to habitat characteristics, and assess spatial patterns and scaling using remote sensing.

Cameron took Mike Dietze's Eco Forecasting graduate class and is participating in the NEON Forecasting Challenge.

Jody works on polar marine ecology and is interested on (and working to improve) our ability to better forecast sea ice algal blooms.

Muhammad is interested in biogeochemistry of soil organic matter and black carbon (biochar) in agroecosystems, and also CNP cycling under the influence of land-use changes and climate.

Kristina uses plant ecosystem models to predict agricultural crop yield and productivity.

Caleb is an aquatic ecosystem scientist, developing a water quality forecasting system for a large, polymictic reservoir in central Texas.

Jake is interested in learning and applying innovative methods to understand ecological dynamics - for the conservation of biodiversity and restoration of ecosystems.

Christy's interests are in forecasting near- and long-range responses of trees and forests to climate variability and change. She is currently working on citizen science-based forecasts of budburst and fall color in The Morton Arboretum's Living Collections to study biodiversity and climate sensitivity as well as visitor engagement. 

Through an academic-industry partnership, Kevin is using data from a variety of high frequency sensors and weather forecasts to generate both short and medium-term water quality forecasts.

Camille works to produce habitat models for critically endangered North Atlantic right whales and their key prey resources.

Noam studies the ecology of emerging infectious diseases and is interested in forecasting spillover and transport of disease.

Madelyn is a PhD student at TAMUG researching the spatial ecology of sea turtles in and around Galveston.

Pranav is interested in using ecological forecasting tools to inform conservation measures. In particular, Pranav likes working at the confluence of ecology and physiology and using models to understand of how animals are affected by anthropogenic changes.

Sakshi is interested in community assembly patterns and predicting how they can change in the future. At present, I am working with citizen science data.

Rob uses big data in population ecology and stage-structured models to forecast species viability

Samantha's current research questions focus on environmental drivers of vector behavior and how vector behavior (i.e. phenology) can shape pathogen persistence and human disease risk. In addition to her own empirical data, Samantha is working with publicly available data from NSF, NIH, CDC, USGS, and USDA to build a macro to micro framework of tick-borne disease risk across the United States.

Martina is interested in assessing and quantifying the ecological resilience of natural communities to global change using ecological dynamic regimes as the reference.

We are developing an ecological forecast service for rivers and wetlands in the Northern Murray-Darling Basin, Australia.

Toryn is interested in the methodological needs of ecological forecasting as a statistical ecologist.

David is interested in the development and transition to application of ecological forecasts for coastal management decisions. I currently serve as the ecological forecasting portfolio manager within NOAA.

Alec is interested in forecasting how global environmental changes affect wildlife population dynamics and behaviors and using this information to help inform conservation strategies for animal species of concern.

Eduardo is involved in the sustainable use of legume species for agricultural and ecological purposes.

Kyle's research is focused on bridging the gap between environmental science and sustainable investing by integrating ecosystem models, geospatial analysis, and sustainable investing theory.

Helen is interested in creating networks to share data and integrate multiple data sources into a forecast. Helen is also interested in forecasting biogeochemical cycles and microbial biodiversity in the ocean.

Paul is interested in near-term forecasting of tree mortality, wildland fire, and ecosystem carbon balance.

Bilgecan is a population ecologist interested in how small scale processes, such as density dependence and intrinsic population growth, determine macroecological patterns. He develop population models using Bayesian techniques and strive to make useful population forecasts under climate change with an explicit focus on different uncertainty sources.

Saeed's interests are in anthropogenic noise impacts on marine ecosystems at individual and community levels

Alexey's research dream is to develop an "ecological reanalysis": model predictions of a variety of ecological variables through space and time that are continuously updated to reflect new observations (and particularly, remote sensing datasets).

Gabriela's research evaluates the impacts of land use and land cover change in managed environments, and ecological forecasting provides relative insights to carbon variability.

In the past, Ian has worked with historical vegetation records with the goal of refining our understanding of the processes which shaped the historical landscape and applying this knowledge to forecasts. In the future, Ian hopes to incorporate forecasting into his work with Arctic carbon and water cycling,

Debjani is interested in forecasting soil organic matter decomposition and greenhouse gas emission in natural and managed systems across earth's major biomes.

Dana has experience on management of large scale projects on research and innovation in high impact areas of interest for the Canadian society; the mining industry and the blue-green algae problematic in lakes and in the drinking water treatment facilities.

Emily is working on near-term forecasting of population dynamics using matrix population models. Her work focuses on improving predictions through better uncertainty propagation, inclusion of climate drivers of vital rates, and employing ecological forecast horizons.

Patrícia specializes in forecasting ecosystem distribution and biodiversity shifts due to climate change, focusing on peatlands and specialized plant biodiversity.

John is interested in near term iterative forecasting for terrestrial ecosystems. In particular, John works on accessible methodology for state space modeling, and is also interested in spatial-temporal ecosystem dynamics.

Anna is interested in forecasting the risk of viral infection and transmission through space and time.

Jasper is a recent ecoforecasting convert. Jasper spent a decade working for a government agency supporting Long Term Ecological Research which helped him see the value in automating the pipeline from data collection to decision support and the necessary adaptive feedback loops. Jasper's most current projects focus on satellite remote sensing.

Eric is a Quantitative Ecologist at the National Ecological Observatory Network (NEON). He is interested in using metacommunity theory and long-term data to predict future trends in biodiversity.

Anna forecasts beetle community distributions in the Southern Rocky Mountains using NEON data and is interested in propagating taxonomic uncertainty.

Julia is interested in developing short-term forecasts of marine megafauna in highly urbanized areas and the potential application as decision support tools to mitigate anthropogenic impacts on marine species.

Clare works on dynamic vegetation modelling of Australian ecosystems under climate change, especially ecohydrologic response.

James is interested in forecasts of carbon tax impact and structured vector auto-regressions.

Ayanna's research focuses on using openly available LiDAR and observational data to explore the link between complexity and multifunctionality

Tyson has been following EFI for many years, and we previously submitted forecasts for the NEON challenge (LeBauer et al. 2019)

Kira is an environmental social scientist whose work focuses on the drivers underlying environmental decision-making and behavior, and the impacts on people from ecological dynamics.

Jennifer works in the Division of Endangered Species within the Branch of SSA Science Support. Her responsibilities include predicting the future status of imperiled species given projected future threats.

Christopher is a Red Hat Collaboratory engineer for the Eco Forecast project at Boston University

Olivia is interested in developing forecasts of invasive plant ranges that incorporate land-use management and climate change scenarios, to see if invasive plants will be able to keep up with global environmental change and establish risk areas

Sasha's research interests broadly encompass animal ecology and behavior focused on movement and space use, habitat selection, physiology, foraging, wildlife diseases, captive animal welfare, reintroduction biology, animal personality, predator-prey interactions, social network analysis, and modeling population and community parameters.

Mridul is interested in testing and advancing ecological theory through generating and evaluating forecasts.

Quinn works to predict the future of forest and freshwater ecosystems by combining observations and ecosystem models using statistical techniques. He is the PI of the EFI Research Coordination Network and he is leading the NEON Ecological Forecasting Challenge.

Mikaela is interested in developing short term forecasts on condition, production and loss of reindeer calf in a one year time frame, and compare the predictions to observational field data in an iterative process.

Ben is interested in application of Bayesian statistics and mathematical modeling in infectious disease, public health and ecological problems.

Jonathan's interests are in forecasting population and community responses to environmental change using a combination of statistical, mechanistic and hybrid models

Andrew is developing a new approach to making population forecasts at the landscape scale using remotely-sensed time series of plant abundance.

Ayesha is an applied ecologist interested in addressing some of the world’s most pressing conservation challenges of recovering biodiversity in human-modified landscapes. Her vision is to influence and empower communities to live more sustainably with our environment through better understanding the functional role of ecosystems, species and natural processes, improving the science of measuring and evaluating ecosystem health, and more accessible and ecologically-informed methods of forecasting the consequences of land management decisions.

Ben is interested in workflows that merge citizen science observations with public environmental datasets to produce near term marine forecasts.

Pattama is interested in the development of an intervention and probabilistic modeling tool for the ecology and health community for the purpose of analyzing potential environmental risks and determining optimum risk reduction and cost effective interventions.

Shravan Kumar is looking to work on the Beetle NEON Forecasting Challenge.

Laura's research focuses on sustainable fisheries management and ecosystem-based approach. Artificial intelligence (probabilistic methods and machine learning).

Giorgio is interested in forest response to management under climate change and natural disturbances.

German is highly interested in the use of ecological forecasts to predict tropical forest dynamics in response to disturbances (drought, wildfire, hurricanes, etc.).

Andrew is using thermal-death-time models of marine invertebrates to inform metapopulation models that explicitly account for mortality from heatwave events.

Sean is developing and calibrating a new mechanistic model for tree and seed population dynamics in natural forests in fire-adapted ecosystems. The aim is to provide a tool that can make predictions under a range of future climates, fire regimes and management scenarios.

Eric generally works with lots of univariate/multiviariate time series problems, as well as developing new spatiotemporal models for application to physical or biological data.

Glenda is passionate about using near-term forecasts to transform the way we do ecology. She collects and models long-term datasets to understand how populations and ecosystems persist and function over multiple temporal and spatial scales. Glenda is on the EFI Steering Committee.

Harry's research is in functional biogeography and I am interested in building knowledge transfer partnerships, particularly using BIM technology.

Martin is working on forecasting Dissolved Oxygen and Chlorophyll-A in Lake Geneva.

Jake is interested in the potential to improve our understanding of ecological systems, and the management and sustainability thereof, through the production of operational ecological forecasts.

Michael is interested in marine seabird forecasting near the Antarctica Peninsula.

Kathryn is interested in vegetative phenology forecasting and cyberinfrastructure.

Ethan's forecasting projects include automated-iterative forecasting for the Portal Project, automated phenology forecasting, and research on forecasting biodiversity.  

Research in the lab focuses on the spatial patterns and processes of biodiversity and ecosystem function. We use remote sensing and field observations together with mechanistic and statistical modeling to understand how ecosystems change through space and time.

Bruce is working to provide data support to forecasters and understanding their needs.

Emmerson is interested in predicting the response of carbon to moose and insect management in eastern boreal forests

Alyssa evaluates trends in forest community change over the Holocene to improve long-term forecasts of community composition and carbon storage with climate change. Alyssa is a co-chair of the EFI Student Association and is on the EFI RCN Steering Committee.

Stephen is interested in soil science, particularly soil carbon, and the possibility of forecasting changes in soil carbon stocks and its impact on natural and managed ecosystems.

Alex is new to forecasting and is exploring ecological forecasting within the context of biogeochemistry, spectral biology, and tree physiology.

Jacob is comparing mechanistic and correlative models in forecasting grasshopper outbreaks.

Casey is interested in understanding how population-level processes, and biodiversity are responding to global environmental change.

Luke is interested in using in situ and remotely sensed observations to forecast phenological processes in support of both basic science and management.

Qian is interested in the modeling and synthesis of large-scale data sets for watersheds and other ecosystems. Specific research interests include (1) evaluation of long-term water-quality trends and uncertainties; (2) improvement of statistical methods for riverine flux estimation and trend analysis; (3) analysis of patterns of nutrient and sediment export and controlling factors.

Gengping is good at long term forecast that use long term average climate data and uses niche and distributional modeling technique to forecast species distribution in long terms. Gengping plans to put more effort on short-term forecast in near future.

Kai is interested in studying phenology, soil, and wildfire under global environmental change.

Elise and her team develop analytical frameworks to address grand challenges in the study of biodiversity loss and the effects of anthropogenic activities, such as climate change. She harnesses empirical data (big and small) to understand fine and subtle interactions in the natural world, revealing the causes and consequences of species’ declines and biodiversity loss while charting pathways to mitigate and reverse these alarming trends.

John has three interests including (1) developing accessible software protocols and tools for data visualization - prior and post an ecological forecast, (2) applying mathematical and statistical methods for data assimilation and ecological forecasts, and (3) developing the first two with a keen eye for undergraduate interdisciplinary education, primarily focused through the lens of undergraduate mathematics.

Jake develops forecasts of aquatic variables using machine learning techniques in support of water management decisions in the U.S.