About Me

About Me

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

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projects

SERDP - Intracting Disturbances in the Southeast

Evaluating 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.

PEcAn

The Predictive Ecosystem Analyzer. It’s a central toolbox & network for developing, diagnosing, and using ecosystem models. Check it out

publications

Identifying foundation species in North American forests using longterm data on ant assemblage structure

Published in Ecosphere, 2018

Foundation species are locally abundant and uniquely control associated biodiversity, whereas dominant species are locally abundant but are thought to be replaceable in ecological systems. It is important to distinguish foundation from dominant species to direct conservation efforts. Long‐term studies that remove abundant species while measuring community dynamics have the potential to (1) aid in the identification of foundation vs. dominant species and, (2) once a foundation species is identified, determine how long its effects persist within a community after its loss. Long‐term data on ant assemblages within two canopy‐manipulation experiments—the Harvard Forest Hemlock Removal Experiment (HF‐HeRE) and the Black Rock Future of Oak Forests Experiment (BRF‐FOFE)—provide insights into how ant assemblages change and reassemble following the loss of Tsuga canadensis or Quercus spp. Previous research documented foundation species effects on ants in the HF‐HeRE for up to four years after T. canadensis loss. Six additional years of data at HF‐HeRE presented for the first time here show that removal of T. canadensis resulted in taxonomic and some measures of functional shifts in ant assemblages that persisted for ten years, further supporting the hypothesis that T. canadensis is a foundation species at Harvard Forest. In contrast, ant assemblages at BRF‐FOFE varied little regardless of whether oaks or other tree species were removed from the canopy, suggesting that Quercus species do not act as foundation species at Black Rock Forest. Deer and moose exclosures within each experiment also allowed for comparisons between effects on ants of foundation or dominant tree species relative to effects of large herbivores. At HF‐HeRE, effects of T. canadensis were stronger than effects of large herbivores on taxonomic and functional diversity of ant assemblages. At BRF‐FOFE, in contrast, effects of Quercus species were weaker than effects of large herbivores on ant taxonomic diversity and some measures of ant functional diversity. These findings illustrate the importance of distinguishing between the roles of irreplaceable foundation species and replaceable dominant ones in forested ecosystems along with other drivers of biodiversity (e.g., herbivory).

Recommended citation: Record, S., T. McCabe, B. Baiser, and A. M. Ellison. 2018. Identifying foundation species in North American forests using longterm data on ant assemblage structure. Ecosphere 9(3):e02139. 10.1002/ecs2.2139 https://doi.org/10.1002/ecs2.2139

Scaling contagious disturbance: a spatially-implicit dynamic model

Published in Frontiers in Ecology and Evolution, 2019

Spatial processes often drive ecosystem processes, biogeochemical cycles, and land-atmosphere feedbacks at the landscape-scale. Climate-sensitive disturbances, such as fire, land-use change, pests, and pathogens, often spread contagiously across the landscape. While the climate-change implications of these factors are often discussed, none of these processes are incorporated into earth system models as contagious disturbances because they occur at a spatial scale well below model resolution. Here we present a novel second-order spatially-implicit scheme for representing the size distribution of spatially contagious disturbances. We demonstrate a means for dynamically evolving spatial adjacency through time in response to disturbance. Our scheme shows that contagious disturbance types can be characterized as a function of their size and edge-to-interior ratio. This emergent disturbance characterization allows for description of disturbance across scales. This scheme lays the ground for a more realistic global-scale exploration of how spatially- complex disturbances interact with climate-change drivers, and forwards theoretical understanding of spatial and temporal evolution of disturbance.

Recommended citation: McCabe, T. D., & Dietze, M. C. (2019). Scaling Contagious Disturbance: A Spatially-Implicit Dynamic Model. Frontiers in Ecology and Evolution, 7(March), 1–17. https://doi.org/10.3389/fevo.2019.00064 https://doi.org/10.3389/fevo.2019.00064

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