Erin Brooks

Dr. Erin Brooks

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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1 January 2020 in Science of The Total Environment
Verified
Journal Article
Closed access
ASA. Srivastava
A. Srivastava
EBErin Brooks
Erin Brooks
MDMariana Dobre
Mariana Dobre
WEW.J. Elliot
W.J. Elliot
JWJ.Q. Wu
J.Q. Wu
TLTimothy Link
Timothy Link

11 January 2024 in Sustainability
Verified
Journal Article
Open access
PDF file
Haytham M. SalemHaytham M. Salem
Haytham M. Salem
LSLinda R. Schott
Linda R. Schott
JPJulia Piaskowski
Julia Piaskowski
ACAsmita Chapagain
Asmita Chapagain
JYJenifer Yost
Jenifer Yost
Jodi Johnson-MaynardJodi Johnson-Maynard
Jodi Johnson-Maynard
This research study underscores the importance of effectively managing soil nutrients in a site-specific manner to enhance crop productivity while considering the spatial variability of the soil. The objective is to identify subfields with similar soil characteristics, referred to as management zones (MZs), to promote sustainable land utilization. This study was conducted in two central pivot fields located in Southern Idaho, USA, where barley and sugar beets were grown. Soil samples were collected from each field in a grid pattern and analyzed for various chemical properties. These properties included soil pH, organic matter, cation exchange capacity, excess lime, electrical conductivity, total inorganic nitrogen, phosphorus, potassium, calcium, magnesium, zinc, iron, manganese, copper, and boron. Descriptive statistics and normality assessments were performed, and the coefficient of variation was calculated to assess the heterogeneity of soil properties, revealing significant variability. To determine the spatial variability of soil properties, ordinary kriging was used revealing diverse spatial patterns for each location and soil variable examined with moderate to strong spatial dependence. To develop the MZs, a combination of principal component analysis and fuzzy k-means clustering was utilized, and specific parameters that represented the overall variability of soil properties in each field were identified. Based on the identified parameters, two clusters were created in each field. The first management zone (MZ1) exhibited lower values of soil pH, excess lime content, and electrical conductivity compared to the MZ2. Consequently, higher crop productivity was observed in MZ1 in both fields. The biomass yields of barley and sugar beets in MZ1 surpassed those in MZ2. This study highlights the effectiveness of the methodology employed to delineate MZs, which can be instrumental in precise soil nutrient management and maximizing crop productivity.

1 January 2018 in Transactions of the ASABE
Verified
Journal Article
Closed access
PDF file
ASAnurag Srivastava
Anurag Srivastava
JWJoan Q. Wu
Joan Q. Wu
WEWilliam J. Elliot
William J. Elliot
EBErin Brooks
Erin Brooks
DFDennis C. Flanagan
Dennis C. Flanagan
Suitable fuel reduction treatments are needed in the Colville National Forest, Washington, to reduce the risk of severe wildfire. This study aimed to identify high-risk erosion hillslopes following wildfire to aid in forest fuel reduction planning and to evaluate the effects of fuel treatments on the watershed hydrological response. The specific objectives were (1) to assess the soil burn severity associated with wildfires and use that information to identify critical hillslopes for forest fuel treatments, and (2) to evaluate the potential changes in water yield and peak flows from pre-treatment (undisturbed forest) to post-treatment (thinning and prescribed burn) conditions, in the East Deer Creek Watershed (EDCW), a subwatershed of the Colville National Forest. Assessments were made using a modeling approach for hypothetical wildfire and fuel treatment scenarios. FlamMap, a fire behavior model, was used to predict the spatial distribution of wildfire intensity for a hypothetical event under current vegetation conditions. WEPP simulations were subsequently completed to obtain sediment and water yields based on fire intensity and topography. WEPP erosion estimations following a simulated wildfire showed hillslope sediment yield varying from 0 to 49.4 Mg ha-1 year-1 from the 777 hillslopes, which were ranked in descending order of sediment yield to identify critical hillslopes for fuel treatments. The WEPP model calibrated for a nearby gauged watershed was then applied to the EDCW for pre-treatment and post-treatment conditions. At the watershed scale, the increase in water yield from pre-treatment to post-treatment conditions ranged from 0.7% to 5.6% on hillslopes delivering 10% to 50% of the predicted post-fire sediment. Simulated water balance components at the treated hillslopes showed substantial changes. Surface runoff, subsurface lateral flow, and deep percolation increased 150% (5 mm), 50% (9 mm), and 40% (41 mm), respectively, whereas evapotranspiration (ET) decreased 23% (124 mm). The relative differences between pre- and post-harvest peak flows showed no clear trends as treatment area increased. The results suggest that thinning and prescribed burns to treated hillslopes in the EDCW may lead to an increase in water yield and significant alterations in hydrological processes. Keywords: Fuel treatments, Modeling, Peak flows, Sediment, Water yield, Wildfire.

19 March 2015 in Jawra Journal of the American Water Resources Association
Verified
Journal Article
Closed access
PDF file
JBJan Boll
Jan Boll
EBErin Brooks
Erin Brooks
BCBrian Crabtree
Brian Crabtree
SDShuhui Dun
Shuhui Dun
Tammo SteenhuisTammo Steenhuis
Tammo Steenhuis

19 March 2015 in Jawra Journal of the American Water Resources Association
Verified
Journal Article
Closed access
PDF file
EBErin Brooks
Erin Brooks
SSS.M. Saia
S.M. Saia
JBJ. Boll
J. Boll
LWL. Wetzel
L. Wetzel
ZEZ.M. Easton
Z.M. Easton
TST.S. Steenhuis
T.S. Steenhuis

8 June 2023 in Journal of Environmental Quality
Verified
Journal Article
Closed access
PWPauline Welikhe
Pauline Welikhe
MWMark R. Williams
Mark R. Williams
KKKevin King
Kevin King
JBJanae Bos
Janae Bos
MAMark Akland
Mark Akland
LWLindsey M. Witthaus
Lindsey M. Witthaus