Synopsis of my 20 minute presentation
Biological invasions are linked to economic decisions creating a wicked problem for stakeholders and ecosystems. Wicked problems have multiple definitions, exist without ending points and are non linear, thus defying simple “either or” solutions. The nursery, landscape and gardening industry, a sub system of agriculture, is a major pathway for the introduction of invasive species, and provides a complicated mix of cultural, environmental, and financial choices that are better informed by understanding how risk reductions are valued. Since the challenge of scale also affects valuation of economic and ecological calculations, the inclusion of uncertainty in ecological processes and the potential for fuzzy logic are equally important as a tool for environmental policy choices and ecosystem management decisions. The presentation will provide a very brief philosophic overview of the bio-economic considerations of invasive species.
Bioeconomics recognizes the feedback loop between biology and economics and the need to balance the flow of damage until the next control as compared to delaying the control as well as controlling costs and damages between controls. “A manager maximizes expected returns on investments by equating the marginal returns on costs across prevention and control” according to Shogren [2009]. The need for a conversation between risk assessment and risk management has never been more apparent than today. One need only ask what the difference is between the picture on the left and the picture on the right.
Carbon based impacts on ecological systems are on the rise as human activity increases. And human disturbance comes in many beneficial forms. The fact that the oil spill of today has raised some concern but not changed significantly human activities that demand oil, should be an indicator of the size of the information mountain facing invasive species issues. The landscapes that serve our aesthetic impulses are filled with species that have “learned” to coexist with our needs. They are coevolving with humanity which has grown to love them. Moreover, for all of written history, nature has been perceived as asymmetrically arrayed against mankind – an unfair, unbalanced, overwhelming force that compelled him to seek natural resources which could be controlled or tamed. Natural areas, therefore, are considered undefined spaces which need to be controlled to extract resources.
There is a human desire for security that comes from limited choices, and for the majority of people who may be described as landscape illiterate there is an enticing welcoming aspect to the well kept and well manicured expanse of landscape pictured on the left.
In the arena of climate change and invasive species there is a tendency to conflate our scale types and units into a one size fits all paradigm in attempt to simply a complex system’s vagueness at the edges. Most of our thinking as a society is linear and simplistic and is the template upon which assumptions are made about complex systems and the businesses that service them as well as the ecosystems that are involved.
Using Shogren’s model we look at a manager’s investment in control, his investment in prevention (non-exclusive & non-rival consumption), the all important random uncertainty variable, any research in for the public good and endowed wealth. From these we create the functions that provide information about the probability of a good state of nature, the probability ofno damage from invasive species, the probability of a bad state of nature the probability of damage from invasive species, a money equivalent of realized damages, a distribution of support bounded by (a,b) of research to reduce impact, a control cost, a social value of good state of nature, as well as a social value bad state of nature. To these functions we add a net wealth formula and address any change in damages that affect social welfare.
Noting the irreversibility and focusing on uncertainty helps adjust the basis for decisions. The idea that any biological function “… generally requires the consideration of opinions of experts or expert groups, of experience gained from comparable problems, and of additional information where necessary…” reinforces the basic concept that “…any study of biological complexity is rooted in the knowledge of biological reality, an expression for possible limit of human knowledge about ontological biological reality…”. The unsettling nature of the vagueness of what we actually know is in part a result of reliance on Aristotelian logic.
The vagueness of ecosystem service interactions is highlighted by the seeming necessity of man’s incessant plowing of the environment. The complex systems that have accrued over time in support of resource extraction are of themselves also filled with uncertainty. It is the vagueness at the edges near chaos that promulgates creativity. Attempting to corral this fuzziness creates unexpected and unintended outcomes.
The business chain is as complex as the ecosystem chain upon which it rests. Given the uncertain nature of complex adaptive systems, “our uncertainty is expressed quantitatively by the information which we do not have about the state occupied.” The overall effect is the one of the relationship of the myriad points of view, of syntropy to entropy which “… is expressed in terms of probabilities, depends on the observer. One person may have different knowledge of the system from another, and therefore would calculate a different numerical value for entropy.” [MIT course chapter 10]
Keeping the vagueness of probability in mind we can work with trait based models that include economic benefits of introducing new species, the annual value of trade in new species, the number of invaders/number of introduced species, a proportional risk assessment and an annual cost of administrating risk assessment. Other modeling strategies include niche based, gravity, random utility, reaction-diffusion and spatial-phenemological models.
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