Kevin Kloesel

Dr. Kevin Kloesel

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 August 2020 in Earth's Future
Verified
Journal Article
Open access
PDF file
JNJohn W. Nielsen‐Gammon
John W. Nielsen‐Gammon
JBJay Banner
Jay Banner
BCBenjamin I. Cook
Benjamin I. Cook
DTDarrel M. Tremaine
Darrel M. Tremaine
CWCorinne I. Wong
Corinne I. Wong
KKKevin Kloesel
Kevin Kloesel
Long‐range water planning is complicated by factors that are rapidly changing in the 21st century, including climate, population, and water use. Here, we analyze climate factors and drought projections for Texas as an example of a diverse society straddling an aridity gradient to examine how the projections can best serve water stakeholder needs. We find that climate models are robust in projecting drying of summer‐season soil moisture and decreasing reservoir supplies for both the eastern and western portions of Texas during the 21st century. Further, projections indicate drier conditions during the latter half of the 21st century than even the most arid centuries of the last 1,000 years that included megadroughts. To illustrate how accounting for drought non‐stationarity may increase water resiliency, we consider generalized case studies involving four key stakeholder groups: agricultural producers, large surface water suppliers, small groundwater management districts, and regional water planning districts. We also examine an example of customized climate information being used as input to long‐range water planning. We find that while stakeholders value the quantitative capability of climate model outputs, more specific climate‐related information better supports resilience planning across multiple stakeholder groups. New suites of tools could provide necessary capacity for both short and long‐term, stakeholder‐specific adaptive planning.


28 December 2024 in Nutrients
Verified
Journal Article
Open access
PDF file
DEDawn Emerson
Dawn Emerson
MKMelani R Kelly
Melani R Kelly
Toni Torres-McGeheeToni Torres-McGehee
Toni Torres-McGehee
NUNancy Anai Uriegas
Nancy Anai Uriegas
MSMatthew Smith
Matthew Smith
KKKevin Kloesel
Kevin Kloesel
Exercise-associated hyponatremia (EAH) is commonly observed in endurance athletes, where prolonged physical exertion combined with being unaware of personal hydration needs can lead to excessive water consumption or inadequate sodium intake. Marching band (MB) is an emerging setting for sports medicine professionals. However, there is little research on non-musculoskeletal illnesses among these performing artists. This study is part of a larger cross-sectional study and seeks to examine whether MB artists have previously experienced EAH and the presence of known EAH risk factors (e.g., pre-existing medical conditions, medication use, nutritional behaviors). Active collegiate MB members (n = 1207; mean age = 19.6 ± 1.3 years) completed an online survey that characterized demographics, medical history, and nutrition behaviors. Statistical analyses included descriptives (mean, standard deviation) and frequencies for all data. Binomial logistic regressions analyzed the relationship and determined the odds ratio (OR) between previous EAH and EAH risk factors. Participants were from 23 different states, predominately White (82.9%), female (56.7%), and at NCAA Division I institutions (92%). A total of 74 (6.1%) participants reported previously experiencing EAH, 32 (43.2%) within the past year. Previous EAH occurrence was greatest among individuals who had kidney conditions (χ2(1) = 5.920, R2 = 0.013, OR = 15.708, p = 0.015); mood/neurological conditions (χ2(1) = 7.508, R2 = 0.017, OR = 2.154, p = 0.006), particularly anxiety (χ2(1) = 7.651, R2 = 0.017, OR = 3.590, p = 0.006); used mental health medications (χ2(1) = 7.512, R2 = 0.017, OR = 2.220, p = 0.006), particularly selective serotonin reuptake inhibitors (χ2(1) = 13.502, R2 = 0.030, OR = 3.297, p < 0.001); and who dieted (χ2(1) = 6.121, R2 = 0.014, OR = 1.913, p = 0.013) or perceived they had an eating disorder (χ2(1) = 9.502, R2 = 0.021, OR = 2.729, p = 0.002). Healthcare providers should be aware that MB artists may have pre-existing medication conditions, use medication, and have inadequate nutrition. Targeted hydration and nutritional education for MB artists is essential for effective prevention and early EAH recognition, improving health and performance for MB artists within demanding environments.