Estimating Endangered Species Interaction Risk with the Kalman Filter

11 Pages Posted: 15 Apr 2020

See all articles by Sturla Kvamsdal

Sturla Kvamsdal

Norwegian School of Economics (NHH)

Stephen Milton Stohs

affiliation not provided to SSRN

Date Written: March 2014

Abstract

To address the tradeoff between biodiversity conservation in marine ecosystems and fishing opportunity, it is important to quantify the risk of endangered species interactions in commercial fisheries. We propose a Kalman filter suitable for rare events to estimate the endangered leatherback turtle take risk in the California drift gillnet fishery in the years 1990–2010, conditional on spatiotemporal factors that affect take rates. Results suggest interaction risk has remained stable, but with substantial variation over the spatiotemporal distribution of effort. Our methods might also apply to recreation demand analysis with rare event risk, or to applications involving irregularly spaced observations, like trade‐level stock market data.

Keywords: biodiversity, count data, endangered species interactions, Kalman filter, marine conservation, Poisson distribution, rare event risk, state-space model

Suggested Citation

Kvamsdal, Sturla and Stohs, Stephen Milton, Estimating Endangered Species Interaction Risk with the Kalman Filter (March 2014). American Journal of Agricultural Economics, Vol. 96, Issue 2, pp. 458-468, 2014, Available at SSRN: https://ssrn.com/abstract=3573711 or http://dx.doi.org/10.1093/ajae/aat092

Sturla Kvamsdal (Contact Author)

Norwegian School of Economics (NHH) ( email )

Helleveien 30
Bergen, NO-5045
Norway

Stephen Milton Stohs

affiliation not provided to SSRN

No Address Available

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