Understanding differences in underrepresented minorities and first-generation student perceptions in the introductory biology classroom

We used quantitative methods to better understand the perceptions of students in an introductory biology course (Biology 101) at a small, liberal arts college (SLAC) that is also a primarily white institution (PWI). In pre/post surveys, we asked students questions related to their attitudes and beliefs about their professor, classmates, and Biology 101. We were especially interested in the responses and outcomes of underrepresented minorities (URM) and first-generation (FG) students. Our findings suggest URM and FG students have a decreased sense of belonging and increased perceptions of exclusion and differential treatment due to race. These findings can explain, in part, the disparity in Biology 101 grade and STEM (science, technology, engineering, and math) attrition

Relative effects of disturbance on red imported fire ants and native ant species in a longleaf pine ecosystem

Abstract: The degree to which changes in community composition mediate the probability of colonization and spread of non-native species is not well understood, especially in animal communities. High species richness may hinder the establishment of non-native species. Distinguishing between this scenario and cases in which no

Effects of Flooding on the Longleaf Pine-Wiregrass Ecosystem

Proceedings of the 1995 Georgia Water Resources Conference, April 11 and 12, 1995, Athens, Georgia.Flood waters associated with Tropical Storm Alberto inundated 21 km2 of uplands at Ichauway, a 115 km 2 ecological reserve located in southwestern Georgia. At the landscape scale, sink holes were formed, landslides and erosion occurred along riverine bluffs and terraces, and sediment deposition occurred along all riparian corridors. Xeric habitats, dominated by longleaf pine-wiregrass and scrub-shrub, were disproportionately affected by flooding on an area basis. Longleaf pine seedlings and saplings with apical meristems above high water always survived. Mortality of submerged longleaf pine and wiregrass was positively related to flooding depth and duration. Treefall in bluff riparian zones and hardwood hammocks reflected species composition within the two habitats although oaks and southern red cedar were the most commonly downed trees in both habitats. Higher treefall was observed in bluff riparian zones and may be related to constrained stream channel geomorphology. Although infrequent, flooding appears to be important in governing the structure and function of the longleaf pine-wiregrass ecosystem and, along with other disturbances, should be explicitly incorporated into reserve and riparian corridor planning and design.Sponsored and Organized by: U.S. Geological Survey, Georgia Department of Natural Resources, The University of Georgia, Georgia State University, Georgia Institute of TechnologyThis book was published by the Carl Vinson Institute of Government, The University of Georgia, Athens, Georgia 30602 with partial funding provided by the U.S. Department of Interior, Geological Survey, through the Georgia Water Research Institute as authorized by the Water Resources Research Act of 1990 (P.L. 101-397). The views and statements advanced in this publication are solely those of the authors and do not represent official views or policies of the University of Georgia or the U.S. Geological Survey or the conference sponsors

Purpose vs performance : what does marine protected area success look like?

Marine protected areas (MPAs) are an increasingly deployed spatial management tool. MPAs are primarily designed for biodiversity conservation, with their success commonly measured using a narrow suite of ecological indicators. However, for MPAs to achieve their biodiversity conservation goals they require community support, which is dependent on wider social, economic and political factors. Despite this, research into the human dimensions of MPAs continues to lag behind our understanding of ecological responses to MPA protection. Here, we explore stakeholders’ perceptions of what MPA success is. We conducted a series of semi-structured interviews and focus groups with a diverse group of stakeholders local to a South Australian MPA. What constitutes success varied by stakeholder group, and stakeholders’ stated understanding of the purpose of the MPA differed from how they would choose to measure the MPA’s success. Indeed, all interviewees stated that the primary purpose of the MPA was ecological, yet almost all (>90%) would measure the success of the MPA using social and economic measures, either exclusively or in conjunction with ecological ones. Many respondents also stated that social and economic factors were key to the MPA achieving ongoing/future success. Respondents generated a large range of novel socio-economic measures of MPA success, many of which could be incorporated into monitoring programs for relatively little additional cost. These findings also show that success is not straightforward and what constitutes success depends on who you ask. Even where an MPA’s primary ecological purpose is acknowledged by stakeholders, stakeholders are likely to only consider the MPA a success if its designation also demonstrates social and economic benefits to their communities. To achieve local stakeholder support MPAs and associated monitoring programs need to be designed for a variety of success criteria in mind, criteria which reflect the priorities and needs of the adjacent communities as well as national and international conservation objectives

Effects of ocean sprawl on ecological connectivity: impacts and solutions

The growing number of artificial structures in estuarine, coastal and marine environments is causing “ocean sprawl”. Artificial structures do not only modify marine and coastal ecosystems at the sites of their placement, but may also produce larger-scale impacts through their alteration of ecological connectivity - the movement of organisms, materials and energy between habitat units within seascapes. Despite the growing awareness of the capacity of ocean sprawl to influence ecological connectivity, we lack a comprehensive understanding of how artificial structures modify ecological connectivity in near- and off-shore environments, and when and where their effects on connectivity are greatest. We review the mechanisms by which ocean sprawl may modify ecological connectivity, including trophic connectivity associated with the flow of nutrients and resources. We also review demonstrated, inferred and likely ecological impacts of such changes to connectivity, at scales from genes to ecosystems, and potential strategies of management for mitigating these effects. Ocean sprawl may alter connectivity by: (1) creating barriers to the movement of some organisms and resources - by adding physical barriers or by modifying and fragmenting habitats; (2) introducing new structural material that acts as a conduit for the movement of other organisms or resources across the landscape; and (3) altering trophic connectivity. Changes to connectivity may, in turn, influence the genetic structure and size of populations, the distribution of species, and community structure and ecological functioning. Two main approaches to the assessment of ecological connectivity have been taken: (1) measurement of structural connectivity - the configuration of the landscape and habitat patches and their dynamics; and (2) measurement of functional connectivity - the response of organisms or particles to the landscape. Our review reveals the paucity of studies directly addressing the effects of artificial structures on ecological connectivity in the marine environment, particularly at large spatial and temporal scales. With the ongoing development of estuarine and marine environments, there is a pressing need for additional studies that quantify the effects of ocean sprawl on ecological connectivity. Understanding the mechanisms by which structures modify connectivity is essential if marine spatial planning and eco-engineering are to be effectively utilised to minimise impacts

Experimental test for facilitation of seedling recruitment by the dominant bunchgrass in a fire-maintained savanna

Facilitative interactions between neighboring plants can influence community composition, especially in locations where environmental stress is a factor limiting competitive effects. The longleaf pine savanna of the southeastern United States is a threatened and diverse system where seedling recruitment success and understory species richness levels are regulated by the availability of moist microsites. We hypothesized that the dominant bunch grass species (Aristida stricta Michx.) would facilitate moist seedling microsites through shading, but that the effect would depend on stress gradients. Here, we examined the environmental properties modified by the presence of wiregrass and tested the importance of increased shade as a potential facilitative mechanism promoting seedling recruitment across spatial and temporal stress gradients. We showed that environmental gradients, season, and experimental water manipulation influence seedling success. Environmental properties were modified by wiregrass proximity in a manner that could facilitate seedling success, but we showed that shade alone does not provide a facilitative benefit to seedlings in this system

Seedling recruitment least square means.

<p>Least square means of seedling recruitment across two shade treatments (shade, no shade), two water treatments (water, control), two gradient locations (mesic, xeric) and four collection periods (spring and fall, 2006 and 2007).</p

Microsite measurements.

<p>Values represent environmental measurements at potential seedling microsites below and between clumps of wiregrass; (A) relative humidity, (B) soil temperature, (C) air temperature, (D) photosynthetically active radiation, (E) volumetric soil moisture. Differences between microsite locations are indicated by (m) or (x) for mesic or xeric location respectively (* = p≤0.05, ** = p≤0.08). Refer to <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0039108#pone-0039108-t001" target="_blank">Table 1</a> for mean factor values.</p