Following the work of Soule and colleagues, we assembled a data set of Uta spp. phenotypic and genetic variation across a set of islands located in the Sea of Cortez. To this data we added community and habitat characteristics of these islands.
Our goal was to establish a global database of seagrass trajectories, i.e. reported, quantitative changes in extent showing decline, increase, or stability over time. We compiled existing quantitative data on seagrass areal extent, density, percent cover, and/or biomass from published studies, reports, websites, online databases, and unpublished sources.
Decisions about species conservation status have critical implications for allocation of public and private funding, land use planning decisions, and regulatory actions. A broad range of methods are used to classify species conservation status at a variety of geographic scales (e.g., local, national, international). Different methods produce very different results, yet there is no rationale or benchmark for judging their adequacy or appropriateness. Existing systems also are incomplete because they lack rules that allow decisions to be made when the data are uncertain.
This historical dataset consists of a series of permanent 1-m^2 quadrats located in mixed-grass prairie in western Kansas, USA. The key aspect of the data is that at the end of each growing season, all individual plants in each quadrat were identified and their basal cover was mapped. The combination of a long time-series with full spatial detail allows analyses of demographic processes and intra- and interspecific interactions among individual plants. The quadrats were distributed across gradients in soil type that produce distinct plants communities (see Albertson papers below) .
This table is the start of what could end up being a database containing searchable information regarding , disease, geographic location, host, temperature, range, pathogen, ect. It is only in the early stages. It contains information taken from literature regarding ocean diseases in corals, mollusks, turtles and echinoderms. This table was generated March 20, 2002.
This data set represents mainly social and coral reef monitoring data from the Philippines. It has information about design and socio-ecological factors that influence the success of marine protected areas, integrated coastal management, and marine ecosystem-based management. The methods to collect these data include 1) social surveys of hundreds of policy makers, fishers, and conservation practitioners, 2) qualitative, in-depth interviews, 3) and documents. The data set includes time series monitoring data of fish density, diversity and reef substrate condition.
The primary objective of this study is to examine the control that substrate quality and climate have on patterns of long-term decomposition and nitrogen accumulation in above- and below-ground fine litter. Of particular interest will be to examine the degree these two factors control the formation of stable organic matter and nitrogen after extensive decay. These data sets are part of : (LIDET) Harmon, M. 2005. LTER Intersite Fine Litter Decomposition Experiment (LIDET): Long-Term Ecological Research.Corvallis, OR: Forest Science Data Bank: TD023. [Database].
This group compiled an extensive data base of time series for masting species with associated climatic data. Individual seed production in 59 populations of plants from 24 species spanning a large range of annual variablilty, from species exhibiting strong masting to others with little annual variability in seed production was explored.
The data consists of molecular sequences (cytochrome b, ND4, and R35) the final processing of which was done here at NCEAS. As is required for publication in most journals, the sequences have been depsoited in GENBANK. HTML links to GENBANK and preliminary list of accession numbers is provided.
The Ecosystem Model-Data Intercomparison (EMDI), an on-going activity whose first workshop was held in Durham, New Hampshire, USA, in December 1999, provides the first opportunity for a wide range of global carbon cycle models to be compared with measured net primary productivity (NPP). The second EMDI workshop was held in April 2001 at the National Center for Ecological Analysis and Synthesis (NCEAS), Santa Barbara, California, U.S.A.