Using Drones to Generate New Data for Conservation Insights

Human impact on the environment is driving a decline in biodiversity that heightens the need for informed management of conservation lands. Unmanned aerial vehicles (UAVs), also known as drones, are an increasingly cost-effective tool for generating high-quality data used to map landscape features, analyze land cover change and assess the effectiveness of conservation efforts. Traditional sources of remotely sensed data such as satellites and aircraft can be costly, inflexible and unable to detect fine-scale surface variation. This paper explores the advantages (and challenges) of analyzing data collected by drones to generate useful conservation management insights. We focus on three key considerations. The first is pre-flight planning. This includes FAA regulations, flight control software and study area considerations. The second is acquiring and processing drone captured still images to generate georeferenced map layers. The third is developing GIS models that analyze relationships between drone-derived data layers at multiple scales. To demonstrate how data collected by UAVs can provide useful conservation insights, we analyze the relationship between fire behavior and landscape features at the Weaver Dunes Preserve in Minnesota. Here, the Nature Conservancy is restoring high quality prairie habitat via a series prescribed burns. Because prairies benefit from “patchy” burns (as opposed to fires that consume the entire burn site), we map landscape features (slope, elevation and aspect) and analyze their correlation with the location and extent of post-burn patches of ash

Resisting the Inevitable: Tar Sands, Regionalism and Rhetoric

Tar sands oil is rapidly becoming a primary means of powering the world’s petroleum-based economy. Despite some formidable barriers, an oppositional network is developing that spans the North American continent. This paper discusses the diverse nature of this opposition through an examination of 26 collective activities involving some 243 organizations. The first part of the analysis discusses the internal characteristics and the network dynamics of these activities; this is followed by a spatial analysis of the relationships among the participant organizations. The final section of the paper suggests that an important mechanism for achieving collaborative integrity in the midst of what are oftentimes very challenging circumstances are carefully elaborated rhetorical frames designed to appeal to a diverse set of key stakeholders and policymakers

Clinical validation of a genetic model to estimate the risk of developing choroidal neovascular age-related macular degeneration

Predictive tests for estimating the risk of developing late-stage neovascular age-related macular degeneration (AMD) are subject to unique challenges. AMD prevalence increases with age, clinical phenotypes are heterogeneous and control collections are prone to high false-negative rates, as many control subjects are likely to develop disease with advancing age. Risk prediction tests have been presented previously, using up to ten genetic markers and a range of self-reported non-genetic variables such as body mass index (BMI) and smoking history. In order to maximise the accuracy of prediction for mainstream genetic testing, we sought to derive a test comparable in performance to earlier testing models but based purely on genetic markers, which are static through life and not subject to misreporting. We report a multicentre assessment of a larger panel of single nucleotide polymorphisms (SNPs) than previously analysed, to improve further the classification performance of a predictive test to estimate the risk of developing choroidal neovascular (CNV) disease. We developed a predictive model based solely on genetic markers and avoided inclusion of self-reported variables (eg smoking history) or non-static factors (BMI, education status) that might otherwise introduce inaccuracies in calculating individual risk estimates. We describe the performance of a test panel comprising 13 SNPs genotyped across a consolidated collection of four patient cohorts obtained from academic centres deemed appropriate for pooling. We report on predictive effect sizes and their classification performance. By incorporating multiple cohorts of homogeneous ethnic origin, we obtained >80 per cent power to detect differences in genetic variants observed between cases and controls. We focused our study on CNV, a subtype of advanced AMD associated with a severe and potentially treatable form of the disease. Lastly, we followed a two-stage strategy involving both test model development and test model validation to present estimates of classification performance anticipated in the larger clinical setting. The model contained nine SNPs tagging variants in the regulators of complement activation (RCA) locus spanning the complement factor H (CFH), complement factor H-related 4 (CFHR4), complement factor H-related 5 (CFHR5) and coagulation factor XIII B subunit (F13B) genes; the four remaining SNPs targeted polymorphisms in the complement component 2 (C2), complement factor B (CFB), complement component 3 (C3) and age-related maculopathy susceptibility protein 2 (ARMS2) genes. The pooled sample size (1,132 CNV cases, 822 controls) allowed for both model development and model validation to confirm the accuracy of risk prediction. At the validation stage, our test model yielded 82 per cent sensitivity and 63 per cent specificity, comparable with metrics reported with earlier testing models that included environmental risk factors. Our test had an area under the curve of 0.80, reflecting a modest improvement compared with tests reported with fewer SNPs

An unsustainable path: tourism's vulnerability to environmental decline in Antigua

In Antigua, environmental degradation caused by colonial plantation agriculture is currently exacerbated by short-sighted development goals and governmental mismanagement. The result is a highly eroded natural resource base and increasing economic vulnerability. Just as a colonial legacy of environmental degradation hastened the collapse of Antigua's agricultural sector, current degradation of Antigua's coastal zones threatens tourism. Policies attempting to address this economic vulnerability have largely ignored environmental conservation. Instead, they focus on strengthening the economy by promoting offshore banking and light manufacturing. This type of economic diversification is necessary. but not sufficient. Recent growth in banking and manufacturing has stagnated, and these sectors should not be counted on to offset potential declines in tourism revenues caused by coastal degradation. In the absence of strong efforts to protect and improve the coastal and marine environment, Antigua is on an unsustainable development path

Environmental protection policies in Caribbean small islands: some St Lucian examples

This examination of the contemporary situation in St Lucia seeks to uncover the challenges posed by the confrontation of development and environmental conservation goals, when dealing with issues of Coastal Zone Management. Firstly, a policy-guiding framework is introduced as a mediating mechanism formulated in an acceptable narrative form in order to brief donor-agencies like the USAID on an appropriate model of institutional mechanisms likely to meet the goals of sustainable development and environmental conservation in small islands. The narrated model advocates 'stake-holder, self management' or 'comanagement' principles as its basis. To substantiate and learn from particular local grassroots initiatives, the genesis and institutional maturing of three interrelated recent co-management projects are examined, where local, national and international coalitions appear to be making progress towards the successful implementation of environmental programmes and conservation efforts in the coastal zone of St Lucia. The successful ingredients so identified are expected to serve as primary inputs to the larger project's policy-guiding framework and resultant brief. At the same time, caution needs to be expressed due to the lack of awareness of the gravity of environmental issues at political and local levels

Within-adolescent coupled changes in cortisol with DHEA and testosterone in response to three stressors during adolescence

It is hypothesized that hypothalamic-pituitary-adrenal and hypothalamic-pituitary-gonadal axes function together to maintain adaptive functioning during stressful situations differently in adolescence than the characteristic inverse relations found in adulthood. We examined within-person correlated changes (coupling) in cortisol, DHEA and testosterone in response to parent-adolescent conflict discussion, social performance, and venipuncture paradigms. Data are derived from two samples of boys and girls from the Northeastern US (213 adolescents aged 11-16, M=13.7, SD=1.5 years; 108 adolescents aged 9-14, M=11.99, SD=1.55) using different biological sampling vehicles (saliva and blood). Results consistently show that across samples, vehicles, and contexts, cortisol and DHEA and cortisol and testosterone are positively coupled in response to environmental stimuli. Findings underscore the importance of considering the effects of multiple hormones together in order to further our understanding of the biological underpinnings of behavior, especially during adolescence, as adolescence is a developmental transition period that may be qualitatively different from adulthood in terms of hormone functioning