Structural Realism in Biology: A (Sympathetic) Critique

Structural realism holds that ontological commitments induced by successful scientific theories should focus on the structures rather than the objects posited by the theories. Thus structural realism goes beyond the empirical adequacy criterion of traditional (or constructive) empiricism. It also attempts to avoid the problems scientific realism faces in contexts of radical theory change accompanied by discordant shifts in posited theoretical objects. Structural realism emerged in the context of attempts to interpret developments in twentieth-century physics. In a biological context, Stanford (2006) provided pre-emptive criticism. French (2011, 2012) has since attempted to answer those criticisms and extend structural realism to the biological realm. This paper argues that, though Stanford’s criticism may be misplaced, and structural realism fares much better than traditional scientific realism in biological contexts, it remains a promissory note. The promise is based on shifting the focus of the debate from the status of biological laws to that of biological organization, an issue that remains a live debate within biolog

Structural Realism in Biology: A (Sympathetic) Critique

Structural realism holds that ontological commitments induced by successful scientific theories should focus on the structures rather than the objects posited by the theories. Thus structural realism goes beyond the empirical adequacy criterion of traditional (or constructive) empiricism. It also attempts to avoid the problems scientific realism faces in contexts of radical theory change accompanied by discordant shifts in posited theoretical objects. Structural realism emerged in the context of attempts to interpret developments in twentieth-century physics. In a biological context, Stanford (2006) provided pre-emptive criticism. French (2011, 2012) has since attempted to answer those criticisms and extend structural realism to the biological realm. This paper argues that, though Stanford’s criticism may be misplaced, and structural realism fares much better than traditional scientific realism in biological contexts, it remains a promissory note. The promise is based on shifting the focus of the debate from the status of biological laws to that of biological organization, an issue that remains a live debate within biolog

Systematic Conservation Planning

[Extract] Systematic Conservation Planning provides a clear, comprehensive guide to the process of deriving conservation area networks that will represent biodiversity in cost-effective ways. The measurement of biodiversity, the design of field collections to sample biodiversity and data treatment methods together provide baseline information on the distribution patterns of biodiversity. The book then describes methods for identifying biodiversity priority areas underpinned by the concept of complementarity. It goes on to describe how biodiversity targets can be set and how multi-criteria analyses can incorporate costs and other constraints into the area selection process, enabling trade-offs between production and protection to be made. The book finishes with a series of case studies and a conclusion that emphasizes the socio-economic and cultural contexts in which conservation planning takes place

Systematic Conservation Planning

[Extract] Systematic Conservation Planning provides a clear, comprehensive guide to the process of deriving conservation area networks that will represent biodiversity in cost-effective ways. The measurement of biodiversity, the design of field collections to sample biodiversity and data treatment methods together provide baseline information on the distribution patterns of biodiversity. The book then describes methods for identifying biodiversity priority areas underpinned by the concept of complementarity. It goes on to describe how biodiversity targets can be set and how multi-criteria analyses can incorporate costs and other constraints into the area selection process, enabling trade-offs between production and protection to be made. The book finishes with a series of case studies and a conclusion that emphasizes the socio-economic and cultural contexts in which conservation planning takes place

Alfred Russel Wallace Notes 9: The South Asian Connection

Alfred Russel Wallace (1823−1913) is best known for his natural history explorations and theoretical biology, but he was also a potent social critic on subjects ranging from land tenure and colonial policy to antivaccinationism and poverty. Here, one of his emphases in the latter domain is spotlighted: his interest in South Asian affairs. This extended to a variety of subjects in the areas of politics, economics, health, literature, sociology, etc., and to a degree that may have had some influence on the development of thought of some major South Asian figures, including Mahatma Gandhi and Ananda K. Coomaraswamy

A Predictive Spatial Model to Quantify the Risk of Air-Travel-Associated Dengue Importation into the United States and Europe

The number of travel-acquired dengue infections has been on a constant rise in the United States and Europe over the past decade. An increased volume of international passenger air traffic originating from regions with endemic dengue contributes to the increasing number of dengue cases. This paper reports results from a network-based regression model which uses international passenger travel volumes, travel distances, predictive species distribution models (for the vector species), and infection data to quantify the relative risk of importing travel-acquired dengue infections into the US and Europe from dengue-endemic regions. Given the necessary data, this model can be used to identify optimal locations (origin cities, destination airports, etc.) for dengue surveillance. The model can be extended to other geographical regions and vector-borne diseases, as well as other network-based processes

Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in Mexico

Species distribution models were constructed for ten Ixodes species and Amblyomma cajennense for a region including Mexico and Texas. The model was based on a maximum entropy algorithm that used environmental layers to predict the relative probability of presence for each taxon. For Mexico, species geographic ranges were predicted by restricting the models to cells which have a higher probability than the lowest probability of the cells in which a presence record was located. There was spatial nonconcordance between the distributions of Amblyomma cajennense and the Ixodes group with the former restricted to lowlands and mainly the eastern coast of Mexico and the latter to montane regions with lower temperature. The risk of Lyme disease is, therefore, mainly present in the highlands where some Ixodes species are known vectors; if Amblyomma cajennense turns out to be a competent vector, the area of risk also extends to the lowlands and the east coast

Group Decisions in Biodiversity Conservation: Implications from Game Theory

. This paper shows how game theory may be used to inform group decisions in biodiversity conservation scenarios by modeling conflicts between stakeholders to identify Pareto–inefficient Nash equilibria. These are cases in which each agent pursuing individual self–interest leads to a worse outcome for all, relative to other feasible outcomes. Three case studies from biodiversity conservation contexts showing this feature are modeled to demonstrate how game–theoretical representation can inform group decision-making.–agent fish and coral conservation scenario from the Philippines. In each case there is reason to believe that traditional mechanism–design solutions that appeal to material incentives may be inadequate, and the game–theoretical analysis recommends a resumption of further deliberation between agents and the initiation of trust—and confidence—building measures. that formal mechanism–design solutions may backfire in certain cases. Such scenarios demand a return to group deliberation and the creation of reciprocal relationships of trust

Opuntia in México: Identifying Priority Areas for Conserving Biodiversity in a Multi-Use Landscape

BACKGROUND: México is one of the world's centers of species diversity (richness) for Opuntia cacti. Yet, in spite of their economic and ecological importance, Opuntia species remain poorly studied and protected in México. Many of the species are sparsely but widely distributed across the landscape and are subject to a variety of human uses, so devising implementable conservation plans for them presents formidable difficulties. Multi-criteria analysis can be used to design a spatially coherent conservation area network while permitting sustainable human usage. METHODS AND FINDINGS: Species distribution models were created for 60 Opuntia species using MaxEnt. Targets of representation within conservation area networks were assigned at 100% for the geographically rarest species and 10% for the most common ones. Three different conservation plans were developed to represent the species within these networks using total area, shape, and connectivity as relevant criteria. Multi-criteria analysis and a metaheuristic adaptive tabu search algorithm were used to search for optimal solutions. The plans were built on the existing protected areas of México and prioritized additional areas for management for the persistence of Opuntia species. All plans required around one-third of México's total area to be prioritized for attention for Opuntia conservation, underscoring the implausibility of Opuntia conservation through traditional land reservation. Tabu search turned out to be both computationally tractable and easily implementable for search problems of this kind. CONCLUSIONS: Opuntia conservation in México require the management of large areas of land for multiple uses. The multi-criteria analyses identified priority areas and organized them in large contiguous blocks that can be effectively managed. A high level of connectivity was established among the prioritized areas resulting in the enhancement of possible modes of plant dispersal as well as only a small number of blocks that would be recommended for conservation management

Assessing Historical Fish Community Composition Using Surveys, Historical Collection Data, and Species Distribution Models

Accurate establishment of baseline conditions is critical to successful management and habitat restoration. We demonstrate the ability to robustly estimate historical fish community composition and assess the current status of the urbanized Barton Creek watershed in central Texas, U.S.A. Fish species were surveyed in 2008 and the resulting data compared to three sources of fish occurrence information: (i) historical records from a museum specimen database and literature searches; (ii) a nearly identical survey conducted 15 years earlier; and (iii) a modeled historical community constructed with species distribution models (SDMs). This holistic approach, and especially the application of SDMs, allowed us to discover that the fish community in Barton Creek was more diverse than the historical data and survey methods alone indicated. Sixteen native species with high modeled probability of occurrence within the watershed were not found in the 2008 survey, seven of these were not found in either survey or in any of the historical collection records. Our approach allowed us to more rigorously establish the true baseline for the pre-development fish fauna and then to more accurately assess trends and develop hypotheses regarding factors driving current fish community composition to better inform management decisions and future restoration efforts. Smaller, urbanized freshwater systems, like Barton Creek, typically have a relatively poor historical biodiversity inventory coupled with long histories of alteration, and thus there is a propensity for land managers and researchers to apply inaccurate baseline standards. Our methods provide a way around that limitation by using SDMs derived from larger and richer biodiversity databases of a broader geographic scope. Broadly applied, we propose that this technique has potential to overcome limitations of popular bioassessment metrics (e.g., IBI) to become a versatile and robust management tool for determining status of freshwater biotic communities