This data set presents the data collected in 2016 as part of the long-term terrestrial kelp forest monitoring program at Channel Islands National Park in collaboration with the Mediterranean Coast Network of the NPS Inventory and Monitoring Program.

This data set presents the data collected in 2014 as part of the long-term terrestrial kelp forest monitoring program at Channel Islands National Park in collaboration with the Mediterranean Coast Network of the NPS Inventory and Monitoring Program.

This data set presents the data collected in 2014 as part of the long-term terrestrial kelp forest monitoring program at Channel Islands National Park in collaboration with the Mediterranean Coast Network of the NPS Inventory and Monitoring Program.

This data set presents the data collected in 2013 as part of the long-term terrestrial kelp forest monitoring program at Channel Islands National Park in collaboration with the Mediterranean Coast Network of the NPS Inventory and Monitoring Program.

This dataset from the Channel Islands National Park's Kelp Forest Monitoring Program has subtidal temperature data taken at permanent monitoring sites. Since 1993, remote temperature loggers manufactured by Onset Computer Corporation were deployed at each site approximately 10-20 cm from the bottom in a underwater housing. Since 1993, three models of temperature loggers (HoboTemp (tm), StowAway (R) and Tidbit(R)) were used to collect temperature data every 1-5 hours depending on the model used.

This data set presents the data collected in 2014 as part of the long-term terrestrial vegetation monitoring program at Channel Islands National Park in collaboration with the Mediterranean Coast Network of the NPS Inventory and Monitoring Program. The purposes of the monitoring program are to document the long-term trends in the major vegetation communities within the park. The data collected are from 30 m point-line intercept transects. In the past, each transect was sampled annually. However, beginning in 2012 the program began adding randomly located transects to improve the representativeness of the sampling, and transitioned to a rotating panel design. Now only a core subset of the transects are now read annually. Non-core transects are assigned to one of four panels and those transects are read only once every four years. A summary analysis of the 2014 data shows that: • 98% of the transects that were to be monitored in 2014 were read (157 out of 160 transects). • The 157 transects were distributed across all five islands: Santa Rosa Island (n = 92), Santa Cruz Island (n = 24), Santa Barbara Island (n = 15), Anacapa Island (n = 13) and San Miguel Island (n = 13). • Native plant cover averaged 69% across all islands and sampled communities. The percent native cover ranged from a low of 27% in seablite scrub on Santa Barbara Island to highs of nearly 100% in coastal strand on Santa Rosa Island and caliche scrub on San Miguel Island. • In general, the number of vegetation data points recorded per transect appears to correlate with average rainfall. In other words, as rainfall increases, vegetation cover increases and this is reflected in the number of “hits” or transect points containing vegetation. When precipitation declined there was a corresponding drop in the number of hits. In 2014, as a result of 3 years of below average rainfall, the average number of hits was at an all-time low of 61. The highest average number of hits was 240 in 1993. • The number of vegetation communities varied by island. In 2014, there were 14 on Santa Rosa Island, 11 communities on Santa Cruz Island, 7 communities on San Miguel Island, 4 communities on Santa Barbara Island, and 3 communities on Anacapa Island. • Nine vegetation communities (as currently classified) occurred on more than 1 island. The most common shared community was Valley/Foothill grassland which was found in one form or another on all five islands within the park. The next most common communities were coreopsis scrub, coastal sage scrub, and island chaparral which were shared on 3 islands, although not necessarily on the same 3 islands. The other 5 shared communities – caliche scrub, coastal bluff scrub, mixed woodland, oak woodland, and riparian were shared on 2 islands each.

The Republic of the Marshall Islands (RMI) is a sovereign Small Island State in the tropical central North Pacific Ocean. RMI is a nation of more than thirty atolls and islands, most of which are inhabited, dispersed across an exclusive economic zone (EEZ) over 2 million square kilometers. This data release contains raster datasets for vegetation and water monitoring including Normalized Difference Vegetation Index (NDVI), Landscape Water Requirement Satisfaction Index (L-WRSI), and Soil Moisture Index (SMI) for selected locations and precipitation (dekadal (10-day) sum) for the entire RMI from 2017-2022. These data were compiled to support a 2022-2023 U.S. Geological Survey project for developing methods to apply Earth Observation to monitor the health of vegetation in the RMI. The project was funded by the U.S. Geological Survey and the U.S. Agency for International Development Bureau for Humanitarian Assistance.

This dataset from the Channel Islands National Park's Kelp Forest Monitoring Program has measurements of the abundance (density) of relatively abundant selected sedentary indicator species. The summary data presented here represents the mean density per square meter. Sampling is conducted annually between the months of May-October, so the Time data in this file is July 1 of each year (a nominal value). The actual measurements were taken at various depths, so the Depth data in this file is the depth of the station's temperature logger, which is a typical depth.

백두대간보호구역의 핵심구역과 완충구역으로 고시된 구역을 구축한 공간정보 (데이터 연계 과정에서 산림청에서 제공하고 있는 데이터와 시차가 발생할 수 있습니다. 최신의 데이터는 산림청에서 제공하고 있는 데이터를 확인하여 주시기 바랍니다.)

These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Kenai Fjords National Park. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.