Studying citizen science through adaptive management and learning feedbacks as mechanisms for improving conservation

Citizen science has generated a growing interest among scientists and community groups, and citizen science programs have been created specifically for conservation. We examined collaborative science, a highly interactive form of citizen science, which we developed within a theoretically informed framework. In this essay, we focused on 2 aspects of our framework: social learning and adaptive management. Social learning, in contrast to individual‐based learning, stresses collaborative and generative insight making and is well‐suited for adaptive management. Adaptive‐management integrates feedback loops that are informed by what is learned and is guided by iterative decision making. Participants engaged in citizen science are able to add to what they are learning through primary data collection, which can result in the real‐time information that is often necessary for conservation. Our work is particularly timely because research publications consistently report a lack of established frameworks and evaluation plans to address the extent of conservation outcomes in citizen science. To illustrate how our framework supports conservation through citizen science, we examined how 2 programs enacted our collaborative science framework. Further, we inspected preliminary conservation outcomes of our case‐study programs. These programs, despite their recent implementation, are demonstrating promise with regard to positive conservation outcomes. To date, they are independently earning funds to support research, earning buy‐in from local partners to engage in experimentation, and, in the absence of leading scientists, are collecting data to test ideas. We argue that this success is due to citizen scientists being organized around local issues and engaging in iterative, collaborative, and adaptive learning.     

Regional variation in queen and worker aggression in incipient colonies of the desert ant Messor pergandei

The fate of queen foundress associations in ants varies across taxa: in some, lethal fighting results in survival of a single queen, while in others, queens coexist long term. One hypothesis for this difference is that selection favors fighting when group sizes are small and tolerance when groups are large. In an experiment with the ant Messor pergandei, we formed small, medium, and large groups with newly mated queens from field populations that have different mean group sizes and differ in whether multiple queens occur in older established colonies. We found that whether queens are eliminated by fighting depends upon region of origin and not group size: regardless of co-foundress number, queens from sites with single-queen adult field colonies displayed agonistic behaviors and their colonies reduced to a single queen, while queens from sites with multiple-queen colonies did not fight and co-foundresses coexisted long term. Worker aggression towards and elimination of queens were also correlated with region of origin. Where fighting occurred, queens were as likely to be killed by workers as by other queens. An aggressive display was the most common form of agonistic interaction among queens, while fighting was relatively rare. We hypothesize that queen displays evolved in response to worker attacks because they increase the probability that workers will eliminate competitor queens. Our results suggest that the evolutionary interests of workers, as well as queens, could be important in determining the evolution and maintenance of queen elimination in foundress associations.     

On climbing trees: an Australian perspective on sustainability and political risk>

This paper examines how political risk taking is necessary for gains in sustainability. It provides a personal perspective covering some of the key turning points in Australia (and some global examples) to demonstrate how policy innovation in sustainability will always require political leaders to go out on a limb and then in hindsight the policy will be seen as obvious and normal. The key components of sustainability (vision, interdisciplinary, geographical and sectoral synergies) are used to illustrate stories of tree climbing. Some deeper levels of sustainability applied to thinking, creativity, belonging and spirituality are then used as the framework for illustrating the significance of political risk taking for sustainability.     

Enhanced anaerobic bioremediation of chlorinated solvents utilizing vegetable oil emulsions

The use of vegetable oil as an electron donor to enhance the reductive dechlorination of chlori‐nated solvents as an in situ remediation technology is gaining significant traction. Vegetable oil is a cost‐effective slow‐release electron donor with greater hydrogen‐release efficiency than other electron‐donor products. However, neat vegetable oil can inhibit distribution in aquifers due to the oil droplets blocking the flow of groundwater through the smaller pore spaces in the aquifer materials. This issue has been partially overcome by applying the vegetable oil as an oil‐water emulsion, which typically is created in the field. However, the field preparation results in a mixture of droplet sizes, including larger droplets that can make the emulsions unstable and reduce the soil permeability by blocking soil‐pore throats with oil. RNAS, Inc., has developed a kinetically sta‐ble soybean oil emulsion (“Newman Zone”) consisting of submicron droplets with less droplet‐size variation than field‐prepared emulsions. This product is composed of a blend of fast‐release (sodium lactate) and slow‐release (soybean oil) electron donors. The emulsion is produced in a stable factory environment in which it is pasteurized and packaged in sterile packaging. This ma‐terial can be utilized as an electron donor without further treatments or amendments in the field. This article discusses factors associated with selecting electron donors and the development of vegetable oil–based products. A case study of an application of Newman Zone at a former adhe‐sives manufacturing facility is then presented. The case study demonstrates the effect of Newman Zone in reducing chlorinated solvent concentrations in groundwater by both rapidly stimulating initial microbial activity and supporting long‐term reductive dechlorination with a slow‐release electron donor. © 2006 Wiley Periodicals, Inc.     

Use of object-oriented classification and fragmentation analysis (1985�C2008) to identify important areas for conservation in Cockpit Country, Jamaica

Forest fragmentation is one of the most important threats to global biodiversity, particularly in tropical developing countries. Identifying priority areas for conservation within these forests is essential to their effective management. However, this requires current, accurate environmental information that is often lacking in developing countries. The Cockpit Country, Jamaica, contains forests of international importance in terms of levels of endemism and overall diversity. These forests are under severe threat from the prospect of bauxite mining and other anthropogenic disturbances. In the absence of adequate, up-to-date ecological information, we used satellite remote sensing data and fragmentation analysis to identify interior forested areas that have experienced little or no change as priority conservation sites. We classified Landsat images from 1985, 1989, 1995, 2002, and 2008, using an object-oriented method, which allowed for the inclusion of roads. We conducted our fragmentation analysis using metrics to quantify changes in forest patch number, area, shape, and aggregation. Deforestation and fragmentation fluctuated within the 23-year period but were mostly confined to the periphery of the forest, close to roads and access trails. An area of core forest that remained intact over the period of study was identified within the largest forest patch, most of which was located within the boundaries of a forest reserve and included the last remaining patches of closed-broadleaf forest. These areas should be given highest priority for conservation, as they constitute important refuges for endemic or threatened biodiversity. Minimizing and controlling access will be important in maintaining this core.     

Experimental Evidence for Beneficial Fitness Effects of Gene Flow in Recently Isolated Populations

Abstract: A rich theory has been developed to explain the evolution of populations at equilibrium conditions of gene flow, inbreeding, and selection. There are, however, few empirical examples of the effects of gene flow into recently isolated, small populations under nonequilibrium conditions, such as are expected following population fragmentation. We studied the effects of inbreeding and gene flow in small, experimental populations of the mustard Brassica campestris ( rapa ). Replicate populations of five individuals randomly mated in a growth room received treatments of 0, 1, or 2.5 migrants each generation. Plants from the sixth experimental generation were planted in an outdoor common garden to evaluate the effects of the treatments on fitness and the distribution of phenotypic variation. Regression of six fitness components on inbreeding coefficients indicated a negative effect of inbreeding on fitness for five of these components. The 0-migrant treatment had significantly lower fitness than the migrant treatments for four of six fitness components, but fitness did not differ between the 1-migrant and 2.5-migrant treatments. Phenotypic divergence among populations decreased with an increased number of migrants. These data provide empirical evidence of the beneficial fitness effects of a small number of migrants for recently fragmented populations.     

Spatio-temporal patterns of soil phosphorus enrichment in Everglades water conservation area 2A

The Florida Everglades have undergone significant ecological change resulting from anthropogenic manipulation of historical regimes of hydrology, nutrient loading, and fire. Water Conservation Area 2A (WCA-2A) in the northern Everglades has been a focal point for the study of ecological effects of nutrient loading, especially phosphorus (P), from the nearby Everglades Agricultural Area (EAA). The overall objective of our study was to evaluate recent (1990 to 1998) changes in the spatial extent and patterns of soil P enrichment in Everglades WCA-2A. Surface soil was sampled to a depth of 10 cm at 62 sites within WCA-2A during 1998 for analysis of total phosphorus (TP) content. Geostatistical methods were used to create an interpolated grid of soil TP values across WCA-2A. Comparison of the results of this study with a similar study performed in 1990 showed that the extent of soil P enrichment in surface soil and sediments increased between 1990 and 1998, as evidenced by increased coverage of highly P-enriched soil near the primary surface inflows and a general increase in the concentration of soil TP in the interior regions of WCA-2A. Approximately 73% (31 777 ha) of the total land area of WCA-2A was considered P-enriched (soil total P > 500 mg kg(-1)) in 1998, compared with 48% of the land area (20,829 ha) in 1990, an average increase of 1,327 ha yr(-1). Study results indicate that the soil P enrichment "front" has advanced further into the relatively unimpacted interior of WCA-2A during the past several years.     

Assessment of the spatial distribution of soil properties in a northern Everglades marsh

Florida Everglades restoration plans are aimed at maintaining and restoring characteristic landscape features such as soil, vegetation, and hydrologic patterns. This study presents the results from an exhaustive spatial sampling of key soil properties in Water Conservation Area 1 (WCA 1), which is part of the northern Everglades. Three soil strata were sampled: floc, upper 0- to 10-cm soil layer, and 10- to 20-cm soil layer. A variety of properties were measured including bulk density (BD), loss on ignition (LOI), total phosphorus (TP), total inorganic phosphorus (TIP), total nitrogen (TN), total carbon (TC), total iron (TFe), total magnesium (TMg), total aluminum (TAl), and total calcium (TCa). Interpolated maps and model prediction uncertainties of properties were generated using geostatistical methods. We found that the uncertainty associated with spatial predictions of floc, particularly floc BD, was highest, whereas spatial predictions of soil chemical properties such as soil Ca were more accurate. The resultant spatial patterns for these soil properties identified three predominant features in WCA 1: (i) a north to south gradient in soil properties associated with the predominant hydrological gradient, (ii) areas of considerable soil nutrient enrichment along the western canal of WCA 1, and (iii) areas of considerable Fe enrichment along the eastern canal. By using geostatistical techniques we were able to describe the spatial dynamics of soil variables and express these predictions with an acceptable level of uncertainty.     

Regional data refine local predictions: modeling the distribution of plant species abundance on a portion of the central plains

Species distribution models are frequently used to predict species occurrences in novel conditions, yet few studies have examined the consequences of extrapolating locally collected data to regional landscapes. Similarly, the process of using regional data to inform local prediction for species distribution models has not been adequately evaluated. Using boosted regression trees, we examined errors associated with extrapolating models developed with locally collected abundance data to regional-scale spatial extents and associated with using regional data for predictions at a local extent for a native and non-native plant species across the northeastern central plains of Colorado. Our objectives were to compare model results and accuracy between those developed locally and extrapolated regionally, those developed regionally and extrapolated locally, and to evaluate extending species distribution modeling from predicting the probability of presence to predicting abundance. We developed models to predict the spatial distribution of plant species abundance using topographic, remotely sensed, land cover and soil taxonomic predictor variables. We compared model predicted mean and range abundance values to observed values between local and regional. We also evaluated model prediction performance based on Pearson's correlation coefficient. We show that: (1) extrapolating local models to regional extents may restrict predictions, (2) regional data can help refine and improve local predictions, and (3) boosted regression trees can be useful to model and predict plant species abundance. Regional sampling designed in concert with large sampling frameworks such as the National Ecological Observatory Network may improve our ability to monitor changes in local species abundance.