Kristy Wallmo

Dr. Kristy Wallmo


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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24 July 2012 in Conservation Biology
Verified
Journal Article
Closed access
PDF file
KWKristy Wallmo
Kristy Wallmo
DLDaniel K. Lew
Daniel K. Lew

1 May 2015 in Social Science Research
Verified
Journal Article
Closed access
EPElizabeth F. Pienaar
Elizabeth F. Pienaar
DLDaniel K. Lew
Daniel K. Lew
KWKristy Wallmo
Kristy Wallmo

1 April 2017 in Marine Resource Economics
Verified
Journal Article
Closed access
MLMin-Yang Lee
Min-Yang Lee
SSScott Steinback
Scott Steinback
KWKristy Wallmo
Kristy Wallmo
Recreational fisheries regulations frequently consist of possession limits, size limits, and seasonal closures that constrain the ability of recreational fishermen to catch or land fish. It is difficult to predict how these regulations will influence angler participation and recreational fishing mortality. This research integrates a utility-theory consistent model of demand for recreational fishing trips with an age-structured stock dynamics model to provide policy relevant advice to managers of the groundfish fishery in the Northeast United States. The recreational cod and haddock regulations implemented in 2014 have high costs in terms of foregone angler welfare and minimal positive impacts on stock conditions after three years. The ability of policies that generate large amounts of discarding, like high minimum size limits, to meet conservation objectives are also found to be quite sensitive to assumptions about the recreational discard mortality rate.


1 September 2016 in Journal of Environmental Management
Verified
Journal Article
Open access
KWKristy Wallmo
Kristy Wallmo
DLDaniel K. Lew
Daniel K. Lew
It is generally acknowledged that willingness-to-pay (WTP) estimates for environmental goods exhibit some degree of spatial variation. In a policy context, spatial variation in threatened and endangered species values is important to understand, as the benefit stream from policies affecting threatened and endangered species may vary locally, regionally, or among certain population segments. In this paper we present WTP estimates for eight different threatened and endangered marine species estimated from a stated preference choice experiment. WTP is estimated at two different spatial scales: (a) a random sample of over 5000 U.S. households and (b) geographically embedded samples (relative to the U.S. household sample) of nine U.S. Census regions. We conduct region-to-region and region-to-nation statistical comparisons to determine whether species values differ among regions and between each region and the entire U.S. Our results show limited spatial variation between national values and values estimated from regionally embedded samples, and differences are only found for three of the eight species. More variation exists between regions, and for all species there is a significant difference in at least one region-to-region comparison. Given that policy analyses involving threatened and endangered marine species can often be regional in scope (e.g., ecosystem management) or may disparately affect different regions, our results should be of high interest to the marine management community.

5 August 2015 in Frontiers in Marine Science
Verified
Journal Article
Open access
PDF file
KWKristy Wallmo
Kristy Wallmo
DLDaniel K. Lew
Daniel K. Lew
Non-market valuation allows society to express their preferences for goods and services whose economic value is not reflected in traditional markets. One issue that arises in applying non-market values in policy settings is defining the extent of the economic jurisdiction – the area that includes all people who hold values – for a good or service. In this paper we estimate non-market values for recovering eight threatened and endangered marine species in the US for two geographically embedded samples: households on the west coast of the US and households throughout the nation. We statistically compare species values between the two samples to help determine the extent of and variation in the economic jurisdiction for endangered species recovery. Our findings offer support to the tenet that the summation of non-market values across the country is appropriate when evaluating alternative policies for endangered species recovery.