This data set contains an intersection of Calwater River Basins and USDA Forest Service ECOMAP subsections, manually edited to remove slivers and small polygons. The coverage was created as a candidate system of statewide planning units for the California Legacy Project.
This data set was collected at roughly 7-10 day intervals approximately 1 km offshore from Bolshie Koty on Lake Baikal. Depths span 0 - 250 m with regularity and frequently deeper. Zooplankton and phytoplankton are identified to species and lifestage where applicable. Temperature and Secchi depth are available for full time series, chlorophyll a and primary productivity are available since 1979. The data set has been under the direction of Mikhail Kozhov, Olga Kozhova and Lyubov Izmest'eva since roughly 1945. Eugene Silow stewards the data.
The data set includes count totals subdivided among four regions across almost the entire 19,500 km2 extent of the Kruger National Park, for 11 large herbivore species, from "Ecological Aerial Surveys". Surveys were conducted annually from 1977 to 1996 using standard methods, but park coverage was complete only from 1980 to 1993. A finer regional breakdown of these data is also available, but contains some errors and omissions. There are supporting data on the age and sex structure of samples of these populations covering 1983-1996. Rainfall data are also available.
Barro Colorado Island (BCI) has been the focus of intensive research on lowland tropical moist forest since 1923, and its flora is better known than any site of comparable size throughout the tropics. The Smithsonian Tropical Research Institute and Princeton University established the first Forest Dynamics Plot at BCI in 1980, as part of its comprehensive program of research in tropical forest biology, which includes plant physiology, canopy biology, and animal ecology. BCI Plot Data, Tables of Abundance, Plot Species and Soil Maps data are available.
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.