Assessing Collembola biodiversity under human influence at Three Gorges Area, China.

In this study we comprehensively assessed Collembola biodiversity at Three Gorges Area, one of most diverse habitat regions in China. In total, 3,796 Collembola specimens comprising 9 families, 45 genera, and 103 species (including 14 new species and new records in China) were collected from three primary sampling areas: one nature reserve and two rural and urban areas representing different degrees of human influence. Each sampling area was further divided into nine sampling sites associated with different habitats and altitudes. Analyses of biodiversity data showed that individual abundance was highest in the nature reserve followed by mildly human influenced areas, and then highly influenced areas, and species richness was lowest in highly influenced areas. Hence, we suggest Collembola biodiversity is systematically lost after urbanization. In the nature reserve, altitude significantly influenced both the species richness and individual abundance, whereas in rural and urban areas, both altitude and the human-altered environmental gradient were influential. We also measured sampling efficiency and estimated potential species richness in these areas. This study serves as both a fundamental survey of Collembola biodiversity, as well as an assessment of human/environmental influence on the Collembola community, and can provide further insight into protecting the soil integrity of the Three Gorges Area.

Spatial pattern and determinants of the first detection locations of invasive alien species in mainland China.

BACKGROUND: The unintentional transport of species as a result of human activities has reached unprecedented rates. Once established, introduced species can be nearly impossible to eradicate. It is therefore essential to identify and monitor locations where invaders are most likely to establish new populations. Despite the obvious value of early detection, how does an agency identify areas that are most vulnerable to new invaders? Here we propose a novel approach by using the "first detection location" (FDL) of introduced species in China to quantify characteristics of areas where introduced species are first reported. METHODOLOGY/PRINCIPAL FINDINGS: We obtained FDLs for 166 species (primarily agricultural and forestry pests) that were unintentionally introduced into China prior to 2008 from literature searches. The spatial pattern and determinants of FDLs were examined at the provincial level. The spatial pattern of FDLs varied among provinces with more commerce and trade and economically developed provinces in coastal regions having more FDLs than interior provinces. For example, 74.6% of FDLs were distributed in coastal regions despite that they only cover 15.6% of the total area in China. Variables that may be indicators of "introduction pressure" (e.g. the amount of received commerce) had an overwhelming effect on the number of FDLs in each province (R(2) = 0.760). CONCLUSIONS/SIGNIFICANCE: Our results suggest that "introduction pressure" may be one of the most important factors that determine the locations where newly-introduced species are first detected, and that open and developed provinces in China should be prioritized when developing monitoring programs that focus on locating and managing new introductions. Our study illustrates that FDL approaches can contribute to the study and management of biological invasions not only for China but also for elsewhere.

Developing a monitoring program for invertebrates: guidelines and a case study.

Invertebrates provide the majority of ecosystem services; thus, it is important that they be inventoried, monitored, and protected. Nevertheless, inventories, monitoring, and management generally focus on vertebrates and flowering plants. Consequently, there are few guidelines or case studies for invertebrates. We present a procedure for developing a monitoring program for species-rich invertebrates that entails (1) characterizing the community; (2) identifying surrogates for biodiversity; and (3) establishing efficient methods to monitor surrogates and any ecologically important or sensitive taxa. We used these procedures, biodiversity-based statistical advances, and a survey of arthropods to develop a monitoring plan for the forests of Shenandoah National Park, Virginia (U.S.A.). Our case study revealed that mixed hardwood and hemlock forests had significantly different compositions of arthropods in their soil and understory strata. Of the 10 orders tested Coleoptera and Hymenoptera were the only two to pass most of the five surrogate tests, and their combination improved predictions of overall arthropod diversity. Because arthropods represent the majority of macroscopic species in most ecosystems, the ability of this assemblage to predict overall arthropod diversity makes it a powerful surrogate. Of the 11 collecting methods used, the beat-sheet method was the most efficient for monitoring this surrogate assemblage. To complement this coarse-filter approach to monitoring at-risk, invasive, or other important taxa (fine filter), we used ordination analyses to match 66 taxa with the methods that most effectively sampled them. Our methods serve as a model for developing an invertebrate monitoring plan and should facilitate linking such monitoring with ecosystem functions and management.

Microhabitat selection and coexistence in feather mites (Acari: Analgoidea) on Alaskan seabirds.

Two species of feather mites, Alloptes (A.) sp. and Laronyssus martini, coexisted on the flight feathers of kittiwakes, while Alloptes (C.) sp. occurred alone on murres. All three species were found mostly on the ventral surface of mid-wing regions. On individual feathers, the mites were attached to the distal sides of barbs on the trailing vanes. The two species coexisted on kittiwakes but occupied different portions of feathers. The results suggest that the two species compete for the attachment site on the feather and Alloptes (A.) sp. is excluded by L. martini from the preferred microhabitat.