scholarly journals Quantitative data from six years (2013-2018) of light trap sampling of macromoths (Lepidoptera) in Mt. Hallasan National Park, South Korea

2020 ◽  
Vol 8 ◽  
Author(s):  
Sei-Woong Choi ◽  
Sang-Hyeon Na
Keyword(s):  
South Korea ◽  
National Park ◽  
Altitudinal Gradient ◽  
Light Trap ◽  
Published Data ◽  
Spatial Changes ◽  
Scholarly Article ◽  
Sampling Event ◽  
Term Monitoring

This paper presents the results of long-term monitoring of macromoth communities in Mt. Hallasan National Park, South Korea. This mountain shows an altitudinal gradient of vegetation from evergreen deciduous to boreal trees, harbouring more than 550 species of vascular plants. The goal of this project was to investigate the changes in moth assemblages along the altitudinal gradient in this mountain ecosystem. We monitored macromoth communities at 11 sites in Mt. Hallasan National Park from 2013 to 2018, during which time moths were collected once a month from May to October, using an ultraviolet bucket trap. The generated dataset, which represented 587 species and 13,249 individuals from 14 families, can be adopted to establish a baseline for development of a network-orientated database to assess temporal and spatial changes of moths in temperate and tropical forests. This is the first long-term sampling-event dataset on macromoth assemblages in changing vegetation from evergreen deciduous to boreal tree zones, conducted in Mt. Hallasan National Park, the national park at the highest elevation and located on the largest volcanic island in South Korea. The aim of this study was to provide a description and a link to published data in the format of a peer-reviewed journal and to provide recognition of the effort in a scholarly article (based on data paper definition published at https://www.gbif.org/en/data-papers).

scholarly journals Sampling event dataset on five-year observations of macrofungi fruit bodies in raised bogs, Western Siberia, Russia

2019 ◽  
Vol 7 ◽  
Author(s):  
Nina Filippova ◽  
Elena Lapshina
Keyword(s):  
Western Siberia ◽  
Permanent Plots ◽  
Published Data ◽  
Raised Bog ◽  
Raised Bogs ◽  
Scholarly Article ◽  
The Relationship ◽  
Sampling Event ◽  
Term Monitoring

The data paper includes the results of a long-term monitoring programme for macrofungi fruiting using permanent plots located in the raised bog ecosystem in central part of Western Siberia (nearby Khanty-Mansiysk), Russia. The goal of the project was to describe the quantitative and qualitative structure and spatial variation of the community of macromycetes, to follow its dynamics seasonally and inter-annually and also elucidate the relationship between the fruiting and climate variables. A total of 263 circular 5 m2 subplots (for a total area of 1,315 m2) were inspected weekly during vegetation seasons 2014-2018 and carpophores of different fungal taxa were counted. The resulting sampling-event dataset includes 16,569 of plot-based observations (= sampling events) with corresponding 6,011 occurrence records of macromycetes identified to species or genus level. In total, 69 species were revealed during the study. About 80% of plot-based observations contain zero records and mark absence of visible fruiting bodies in a certain plot and time. This is the first sampling-event dataset on plot-based observations of macrofungi published in GBIF and the first long-term series of macrofungi monitoring in a raised bog ecosystem accomplished in Western Siberia. The aim of the data paper publication was to provide the description and the link to the published data in the format of a peer-reviewed journal paper and to provide recognition for the effort by means of a scholarly article (based on Data paper definition published at https://www.gbif.org/en/data-papers).

scholarly journals Monitoring Selected Species of Mammals in Grand Teton National Park in 2001

2001 ◽  
Vol 25 ◽  
pp. 82-87
Author(s):  
Brian Miller ◽  
Hank Harlow
Keyword(s):  
National Park ◽  
Vegetation Type ◽  
Vegetation Types ◽  
Population Composition ◽  
Grand Teton National Park ◽  
Needed Information ◽  
Mammal Distribution ◽  
The Impact ◽  
Term Monitoring

Our objective is to establish a long-term monitoring project that will assess the abundance and densities of selected species of mammals at sites representing five defined vegetation types found in Grand Teton National Park. The term monitoring implies data collection over multiple years. Taking long term estimations of population composition before, during, and after biotic and abiotic changes provides needed information to assess the impacts of such changes and furnish useful options for management decisions. This standardized monitoring plan will provide information on small and medium-sized mammals that will (1) assess species use of habitat, (2) monitor changes in species composition as a result of environmental change, such as precipitation and temperature, (3) produce predictive models of small and medium-sized mammal distribution based on vegetation type, and (4) analyze the impact of wolf colonization on the mammal (and plant) community.

scholarly journals Applying LiDAR to Quantify the Plant Area Index Along a Successional Gradient in a Tropical Forest of Thailand

Forests ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 520
Author(s):  
Siriruk Pimmasarn ◽  
Nitin Kumar Tripathi ◽  
Sarawut Ninsawat ◽  
Nophea Sasaki
Keyword(s):  
National Park ◽  
Forest Succession ◽  
Secondary Forests ◽  
Area Index ◽  
Khao Yai National Park ◽  
Plant Area Index ◽  
Plant Area ◽  
Successional Process ◽  
Term Monitoring

Long-term monitoring of vegetation is critical for understanding the dynamics of forest ecosystems, especially in Southeast Asia’s tropical forests, which play a significant role in the global carbon cycle and have continually been converted into various stages of secondary forests. In Thailand, long-term monitoring of forest dynamics during the successional process is limited to plot scales assuming from the distinct structure of successional stages. Our study highlights the potential of coupling airborne light detection and ranging (LiDAR) technology and stand age data derived from Landsat time-series to track back forest succession, and infer patterns in the plant area index (PAI) recovery. Here, using LIDAR data, we estimated the PAI of the 510 sample plots of a seasonal evergreen forest dispersed over the study area in Khao Yai National Park, Thailand, capturing a successional gradient of tropical secondary forests. The sample plots age was derived from the available Landsat time-series dataset (1972–2017). We developed a PAI recovery model during the first 42 years of the succession process. We investigated the relationship between the model residuals and PAI values with topographic factors, such as elevation, slope, and topographic wetness index. The results show that the PAI increased non-linearly (pseudo-R2 of 0.56) during the first 42 years of forest succession, and all three topographic factors have less influence on PAI variability. These results provide valuable information of the spatio-temporal PAI patterns during the successional process and help understand the dynamics of tropical secondary forests in Khao Yai National Park, Thailand. Such information is essential for forest management and local, regional, and global PAI synthesis. Moreover, our results provide significant information for ground-based spatial sampling strategies to enable more accurate PAI measurements.

scholarly journals Birds of La Plata Island, Machalilla National Park, Ecuador

2016 ◽  
Author(s):  
Diego F Cisneros-Heredia
Keyword(s):  
Native Species ◽  
National Park ◽  
Passer Domesticus ◽  
La Plata ◽  
Sula Granti ◽  
Sula Leucogaster ◽  
Phoebastria Irrorata ◽  
First Time ◽  
Term Monitoring

La Plata Island, Machalilla National Park, is located 30 km off the Ecuadorian coast. In June 2000, I surveyed the avifauna of La Plata Island. In total I observed 57 species of birds (25 families). At least 17 species are known to breed on the island; in fact, for mainland Ecuador, Waved Albatross Phoebastria irrorata, Red-billed Tropicbird Phaethon aethereus, Nazca Booby Sula granti, and Red-footed Booby Sula sula only breed in La Plata. Long-tailed Mockinbird subspecies Mimus longicaudatus platensis is the only endemic bird taxon of the island. House Sparrow Passer domesticus is the only non-native species of the island. Brown Booby Sula leucogaster, Ecuadorian Ground-Dove Columbina buckleyi, Little Woodstar Chaetocercus bombus and Yellow-bellied Elaenia Elaenia flavogaster are reported for the first time on the island. Isla de La Plata maintains an important biodiversity, and it is necessary to implement conservation, management and tourism plans on a sustainable way along with long-term monitoring studies of the fauna and flora.

scholarly journals The Puzzling K and Early-M Giants: A Summary of Precise Radial Velocity Results for 15 Stars

1999 ◽  
Vol 170 ◽  
pp. 193-203 ◽  
Author(s):  
Ana M. Larson ◽  
Stephenson L. S. Yang ◽  
Gordon A. H. Walker
Keyword(s):  
Radial Velocity ◽  
Physical Mechanism ◽  
Variable Stars ◽  
Published Data ◽  
Iodine Cell ◽  
New Class ◽  
Type K ◽  
Low Amplitude ◽  
Term Monitoring

AbstractNearly a decade ago, “yellow giants” were introduced as a new class of low-amplitude radial-velocity variable stars. In this report we discuss new results for 12 spectral type K and early-M giants based on long-term monitoring using both the hydrogen-fluoride and iodine-cell techniques. We compare these results with those of published data for 3 additional stars (ϒ Cephei, β Geminorum, and β Ophiuchi), and discuss possible implications for the underlying physical mechanism(s).

Estimating the abundance of the bilby (Macrotis lagotis): a vulnerable, uncommon, nocturnal marsupial

2015 ◽  
Vol 37 (1) ◽  
pp. 75 ◽  
Author(s):  
Gregory William Lollback ◽  
Rachel Mebberson ◽  
Niki Evans ◽  
Jonathan David Shuker ◽  
Jean-Marc Hero
Keyword(s):  
National Park ◽  
Distance Sampling ◽  
Abundance Estimation ◽  
Dramatic Decrease ◽  
South West ◽  
Population Crash ◽  
Pellet Density ◽  
Long Term Monitoring ◽  
Term Monitoring

The bilby (Macrotis lagotis) is listed as Vulnerable in Australia, is strictly nocturnal and shy, and it has proven difficult to estimate its population abundance. The aim of this study was to determine methodology that would reliably estimate the abundance of the bilby within an enclosure at Currawinya National Park, south-west Queensland. We estimated the abundance of bilbies on long-term monitoring plots by counting pellets comparing two methods: counting standing odorous pellets using distance sampling and counting newly deposited pellets (FAR). Pellet deposition rate and decay rate were also estimated to enable population estimation using distance sampling. The density of odorous (<14 days old) standing pellets and old pellets was highest in October 2011 and dropped dramatically when plots were revisited in March 2012 and July 2012. Counting standing pellets using distance sampling provided a rigorous estimate of abundance of bilbies at Currawinya. Bilby density and pellet deposition rates were too low for the FAR method to accurately or precisely estimate bilby density. A population crash within the enclosure following an invasion of feral cats was mirrored by a dramatic decrease in pellet density. Incorporating detectability into abundance estimation should be carefully considered for conservation purposes.

A Solar-Powered UV Light Trap for Long-Term Monitoring of Insects in Remote Habitats

2018 ◽  
Vol 72 (1) ◽  
pp. 140
Author(s):  
Scott D. Longing ◽  
Samuel A. Discua ◽  
James C. Cokendolpher
Keyword(s):  
Uv Light ◽  
Light Trap ◽  
Long Term Monitoring ◽  
Solar Powered ◽  
Term Monitoring
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