William E. Grant
· ProfessorVerifiedTexas A&M University · Ecology and Conservation Biology
Active 1895–2026
About
Dr. William E. Grant is a professor in the Department of Ecology and Conservation Biology at Texas A&M University. He joined the department, formerly known as Wildlife and Fisheries Sciences, in 1976. His research is conducted through the Ecological Systems Laboratory, focusing on animal ecology and ecological modeling. Dr. Grant teaches undergraduate and graduate courses related to ecology, conservation, and ecological modeling. He serves on the Editorial Advisory Board of Ecological Modelling, a peer-reviewed scientific journal, contributing to the advancement of ecological research and modeling.
Research topics
- Biology
- Ecology
- Medicine
- Virology
- Agronomy
- Computer Science
- Political Science
- Artificial Intelligence
- Geography
- Data science
- Knowledge management
- Systems engineering
- Veterinary medicine
- Pathology
- Environmental health
- Business
- Risk analysis (engineering)
- Process management
- Toxicology
- Botany
- Engineering
- Zoology
- Agroforestry
- Management science
Selected publications
Figshare · 2026-04-01
articleOpen access<p dir="ltr">Social-ecological systems (SESs) are complex adaptive systems that encompass multiple spatial, temporal, and organizational scales. The dynamics of SESs are driven by interactions among processes occurring both within and across different scales. These multiscale interactions generate patterns of system behavior that emerge at different spatial, temporal, and organizational scales, which has profound implications for managing SESs. Agent-based models (ABMs) are known for their ability to simulate emergent phenomena and are powerful tools for modelling SESs. However, most “multiscale” ABMs focus only on individual/micro-scale interactions and aggregated/macro-scale interactions and rarely capture the true multiscale dynamics of SESs, which often include effects that cascade across multiple scales. We describe a conceptual framework for multiscale ABMs that couples processes occurring at intermediate scales with those occurring at micro and macro scales, and propose a mathematical construct that embodies the generic features of a truly multiscale ABM. We then discuss our proposed model within the context of past and potential future multiscale ABM modeling efforts.
European Archives of Oto-Rhino-Laryngology · 2026-02-12
articleSocio-Environmental Systems Modeling · 2026-04-29
articleOpen accessSocial-ecological systems (SESs) are complex adaptive systems that encompass multiple spatial, temporal, and organisational scales and levels. The dynamics of SESs are driven by interactions among processes occurring both within and across different levels. These multi-level interactions generate patterns of system behaviour that emerge at different spatial, temporal, and organisational levels. This has profound implications for managing SESs. Agent-based models (ABMs) are known for their ability to simulate emergent phenomena and are powerful tools for modelling SESs. However, most multi-level ABMs focus merely on individual/micro-level interactions and aggregated/macro-level interactions and rarely capture the true multi-level dynamics of SESs, which often include effects that cascade across multiple levels. We describe a conceptual framework for multi-level ABMs that couple processes occurring at intermediate levels with those occurring at micro and macro levels, and, more importantly, propose a mathematical construct that embodies the generic features of a truly multi-level ABM. We then discuss our proposed model within the context of past and potential future multi-level agent-based modelling efforts.
The PAVE pathway: how to talk about models with people who built them, and people who didn’t
BioScience · 2026-03-18
articleOpen accessAbstract Do you want your model findings to be used and have a place in academic or policy discourse? Then PAVE that place. For modelers, PAVE (Purpose, Assumptions, Validity, and Exploration) is a semi-structured method to communicate the suitability of models to inform a particular purpose. For users of model results, PAVE is a method for identifying the strength with which model findings inform a question of interest. For all audiences, PAVE distills more comprehensive model documentation protocols into a simple set of concepts for modelers and users alike to discuss. In doing so, PAVE solves a dilemma: there is an audience for whom formal protocols for documenting model development, testing, and analysis are everything. And there is an audience for whom such technical tools are a terrifying abyss, neither to be approached nor looked upon. PAVE is meant to help these audiences talk to each other about model findings.
FAIR principles for good modeling practice and standards
SSRN Electronic Journal · 2026-01-01
preprintOpen accessBioabsorbable steroid-eluting implants for mucosal graft fixation in Draf III frontal sinus surgery
The Journal of Laryngology & Otology · 2026-04-30
articleSenior authorEcological Modelling · 2025-01-21 · 2 citations
articleCurrent Research in Parasitology and Vector-Borne Diseases · 2025-01-01 · 1 citations
articleOpen accessevaluation of field sampling strategies and treatment applications in specific landscapes under specific environmental conditions.
Setting a pluralist agenda for water governance: Why power and scale matter
UNC Libraries · 2025-02-01
articleOpen accessGlobal water systems are facing unprecedented pressures, including climate change‐driven drought and escalating flood risk, environmental contamination, and over allocation. Water management and governance typically lack integration across spatial scales, including relationships between surface and ground water systems. They also routinely ignore connectivity across temporal scales, including the need for intergenerational water planning. As a global and interdisciplinary group of scientists, we seek to highlight how power and scale dynamics influence and determine water outcomes. We argue that attending to complex water systems challenges requires understanding the function and influence of power at different temporal and spatial scales. Building this understanding is key to designing multi‐scalar, reflexive, and pluralistic policy solutions that avoid ineffective or unintended outcomes. We use a co‐learning process to reveal important lessons for the challenge of interdisciplinary research and set a pluralist agenda for understanding power and scale in future water governance. This article is categorized under: Human Water > Water Governance Human Water > Water as Imagined and Represented Human Water > Methods
Current Research in Parasitology and Vector-Borne Diseases · 2025-01-01
articleOpen accessKnowledge gaps on the dynamics of cattle fever tick-cattle-habitat-climate interactions in South Texas and their influence on the efficacy of treatments to eliminate infestations with the Rhipicephalus ( Boophilus ) microplus prevent optimal interventions by the Cattle Fever Tick Eradication Program (CFTEP). The CFTEP has been operating in the USA since 1907. This study applied the concept of location intelligence to examine movement, habitat use and selection by cattle in a highly heterogeneous coastal landscape infested with R. microplus . Cattle interface with white-tailed deer and nilgai, which are alternate wildlife hosts of R . microplus , in this unique South Texas landscape. Location intelligence data obtained from GPS collars placed on steers between August and December 2019 that were treated as part of the protocol to eradicate R. microplus were used to track their movement in the tick-infested rangeland of the Laguna Atascosa National Wildlife Refuge. GIS spatial analyses were conducted to determine time-of-day (morning, midday, evening, midnight), and seasonal differences in: (i) distance of cattle movements; (ii) cattle habitat use and selection; (iii) spatial spread of cattle; and (iv) distance to closest watering site. Cattle movement patterns, habitat use and selection, spatial spread, and distance to closest watering sites were significantly different between the summer and autumn periods. These variables were also significantly different by time-of-day periods within and between seasonal periods. Habitat use and selection by steers are discussed in the context of range sites and vegetation types. Nine ixodid tick species were documented through the inspection of hosts (cattle, nilgai, and white-tailed deer). Rhipicephalus microplus was collected from white-tailed deer and nilgai during cull hunts, as well as from project cattle that missed one anti-tick treatment due to adverse weather conditions. Tick-host-habitat-climate interactions involving cattle and wildlife, future grazing strategies for anti-tick treated cattle, and potential impacts of tick-refugia are discussed in the context of location intelligence. Spatiotemporal patterns of cattle habitat use and selection across an infested coastal landscape in South Texas revealed by location intelligence could inform adaptive operations of the CFTEP to keep the USA free of R . microplus . • Location intelligence utilization reveals tick-host-habitat-climate interactions. • Cattle habitat use and selection vary by time and season. • Spatiotemporal factors may lead to better tactics for cattle fever tick eradication. • Treated cattle can serve as tick traps but only if systematically treated. • Tick refugia remain a problem in areas not used by treated cattle but used by wildlife hosts.
Frequent coauthors
- 101 shared
Hsiao‐Hsuan Wang
Texas A&M University
- 52 shared
Bernhard Fleischer
- 52 shared
C Götting
University of Bern
- 52 shared
Fredrick Banting
Literaturarchiv
- 52 shared
W. Stöcker
- 52 shared
K Kleesiek
Literaturarchiv
- 52 shared
J Diekmann
- 52 shared
J Dreier
Education
B.S., Fisheries and Wildlife
Michigan State University
Ph.D., Systems Ecology
Colorado State University
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