Sacramento County
Amphibian Pesticide Risk And IPM Outreach Mapping
Author Information
Lauren Ledesma, American River College,
Data Acquisition: GEOG 350, Fall 2020
Abstract
Previous studies of animal and
environmental samples have shown that endosulfan, chlorpyrifos, and trifluralin pesticide applications
have detrimental effects on amphibian populations. Introduction and transport
of these pesticides is attributed to application near river systems. Comparing
California Pesticide Use Reporting data and spatial data from the National
Hydrography Dataset identify which applications are most likely to negatively
affect local amphibious populations. This can be used to target Integrated Pest
Management resources and training for the best benefit to local amphibious species.
Sacramento County applicators reduced
their use chlorpyrifos, and trifluralin from 2015 to 2017 and avoided applying endosulfan for those three years. Future studies should review application in
other counties in the Sacramento and an Joaquin River watersheds to protect
local amphibian populations.
Introduction
Studies have shown that pesticides are
easily absorbed or ingested by amphibian species due to their morphological
traits (wet, sensitive skin) and diet (insects targeted by pesticides). Pesticides
applied locally and upstream can be found later in water, sediment, and
amphibian tissue samples study areas. Pesticides
are also most highly concentrated along river streams (Luo & Zang,
2010). Three years of reported endosulfans, chlorpyrifos, and
trifluralin pesticide applications in Sacramento County were examined
for their proximity to local waterways. It can be inferred that the higher
instance of these pesticides poses a greater risk to local amphibian
populations. Integrated Pest Management
program resources can be directed to the landowners who are using the most
pesticide near stream and river systems.
Background
Multiple studies have been done to
identify the groups of pesticides most likely to be negatively effecting
amphibian populations. Endosulfans, chlorpyrifos, and
trifluralin pesticides have been observed to be present in amphibian tissue
samples and in environmental sample near declining populations (Fellers, et
al., 2013) (Smalling, et al., 2015) (Sparling, Fellers, and McConnell,
2001). Larger scale spatial monitoring
and modeling has also been trialed to better predict and understand pesticide
transport and impacts throughout river systems (Luo & Zang, 2010) (Meyer
& DeMars, 2018), though this approach to
understanding pesticide impact appears to be a newer and less used method. Meyer
and DeMars said the California Pesticide Use
Reporting spatial database was “largely untapped for sampling and research”
purposes. Decreased pesticide
application can be achieved through education and training in Integrated Pest
Management (IPM) (Maupin & Norton, 2010). After identifying areas with
large amounts of targeted pesticide, IPM program resources can be directed to the
land owners.
Methods
The largest amount
of project time and resources were spent working with the California Pesticide
Use Reporting data (https://www.cdpr.ca.gov/docs/pur/purmain.htm). Data was
available as delimited text files holding relational database tables (Graphic 1)and as section and township layers. Data was organized by year (2017 mot recent
data) and by county. Sacramento County code was 34 and I focused on three years
of data (2105, 2016, 2017). I parred
down the data to endosulfans, chlorpyrifos, and
trifluralin chemical codes (Table 1). For all three years in Sacramento County
there were no endosulfans pesticide uses reported. I
then used Pivotable to group data by the other two group of pesticides and by
township-range-section unit used in the “Section” layer supplied by the state
website. I used the “join” tool to create two new layers with attributes of
pesticide use in pounds applied and acres treated.
Graphic 1: Database Tables Table 1: Chemical Codes
Used
I used river
system data from the National Hydrography dataset. I specifically used the
“Flowline” layer for California and used “Select by Location” to create a
subset of water within 1 mile of Sacramento County. I also subset that data to
only include “Ftype” = ‘StreamRiver’
and ‘Artificial Path’ to exclude many of the man-made stormwater canals. This final set of river system line data was
buffered by one quarter mile. Finally, I looked at the higher pesticide
applications intersecting the buffer layer I created. These are the sections
with landowners to target for increased IPM resources.
Results
When reviewing the yearly use of pesticides,
it was noted that pesticide use for the targeted pollutant is already
decreasing over the last three years (Graphs 2 & 3).
Graph 2: Chlorpyrifos Use 2015-2017 Graph 3: Trifularlin Use 2015 – 2017
Above are the maps showing
the total pounds of pesticide from 2015, 2016, and 2017 applied by township
section across Sacramanto County. There were no data points for endosulfan pesticide application
for the study years or study area.
Analysis
After applying a quarter mile buffer to the
hydrology line dataset, 47 sections with trifluralin applications, and 10 sections
with chlorpyrifos intersected the buffer. No endosulfan
was reported for the study area in the study timeframe. Also, it appears that before this study, pesticide
application use was already declining.
Conclusion
It appears as though Sacramento County
pesticide applicator are already avoiding one of the main pollutants that negatively
affect amphibian populations and have been decreasing pesticide use over the last
three years. This study did identify multiple areas where IPM outreach could
potentially protect amphibian population by reducing pesticides applied near river
and stream systems. Using CA PUR data or county assessor data could provide
contact information for those applicators.
Future research could lengthen the time studied
to see if decreased use is observed beyond years 2015-2017. Also, other counties
should be studied, especially those within the Sacramento and San Joaquin River
watershed, as they could be contributing pesticides that get transported downstream..
References
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