Javascript must be enabled to continue!
Quadrat‐based monitoring of desert grassland vegetation at the Jornada Experimental Range, New Mexico, 1915–2016
View through CrossRef
AbstractThe data set covers a 101‐yr period (1915–2016) of quadrat‐based plant sampling at the Jornada Experimental Range in southern New Mexico. At each sampling event, a pantograph was used to record the location and perimeter of living plants within permanent quadrats. Basal area was recorded for perennial grass species, canopy cover area was recorded for shrub species, and all other perennial species were recorded as point data. The data set includes 122 1 × 1 m permanent quadrats, although not all quadrats were sampled in each year of the study and there is a gap in monitoring from 1980 to 1995. These data provide a unique opportunity to investigate changes in the plant community over 100 yr of variation in precipitation and other environmental conditions. We provide the following data and data formats: (1) the digitized maps in shapefile format; (2) a data table containing coordinates (x, y) of perennial species within quadrats, including cover area for grasses and shrubs; (3) a data table of counts of annual plant individuals per quadrat; (4) a species list indicating growth form and habit of recorded species; (5) a table of dates when each quadrat was sampled; (6) a table of the pasture each quadrat was located within (note that pasture boundaries have changed over time); (7) a table of depth to petrocalcic layer measurements taken at quadrat locations; (8) a table of particle size analysis of soil samples taken at quadrat locations; (9) a table of topographic characteristics of quadrat locations (e.g., concave or convex topography). Pantograph sampling is currently conducted at 5‐yr intervals by USDA‐ARS staff, and new data will be added periodically to the EDI Data Portal Repository (see section V.E.2). This information is released under the Creative Commons license—Attribution—CC BY and the consumer of these data is required to cite it appropriately in any publication that results from its use.
Title: Quadrat‐based monitoring of desert grassland vegetation at the Jornada Experimental Range, New Mexico, 1915–2016
Description:
AbstractThe data set covers a 101‐yr period (1915–2016) of quadrat‐based plant sampling at the Jornada Experimental Range in southern New Mexico.
At each sampling event, a pantograph was used to record the location and perimeter of living plants within permanent quadrats.
Basal area was recorded for perennial grass species, canopy cover area was recorded for shrub species, and all other perennial species were recorded as point data.
The data set includes 122 1 × 1 m permanent quadrats, although not all quadrats were sampled in each year of the study and there is a gap in monitoring from 1980 to 1995.
These data provide a unique opportunity to investigate changes in the plant community over 100 yr of variation in precipitation and other environmental conditions.
We provide the following data and data formats: (1) the digitized maps in shapefile format; (2) a data table containing coordinates (x, y) of perennial species within quadrats, including cover area for grasses and shrubs; (3) a data table of counts of annual plant individuals per quadrat; (4) a species list indicating growth form and habit of recorded species; (5) a table of dates when each quadrat was sampled; (6) a table of the pasture each quadrat was located within (note that pasture boundaries have changed over time); (7) a table of depth to petrocalcic layer measurements taken at quadrat locations; (8) a table of particle size analysis of soil samples taken at quadrat locations; (9) a table of topographic characteristics of quadrat locations (e.
g.
, concave or convex topography).
Pantograph sampling is currently conducted at 5‐yr intervals by USDA‐ARS staff, and new data will be added periodically to the EDI Data Portal Repository (see section V.
E.
2).
This information is released under the Creative Commons license—Attribution—CC BY and the consumer of these data is required to cite it appropriately in any publication that results from its use.
Related Results
Incorporating Vegetation Type Transformation with NDVI Time-Series to Study the Vegetation Dynamics in Xinjiang
Incorporating Vegetation Type Transformation with NDVI Time-Series to Study the Vegetation Dynamics in Xinjiang
Time-series normalized difference vegetation index (NDVI) is commonly used to conduct vegetation dynamics, which is an important research topic. However, few studies have focused o...
A vegetation classi?cation and map: Guadalupe Mountains National Park
A vegetation classi?cation and map: Guadalupe Mountains National Park
A vegetation classi?cation and map for Guadalupe Mountains National Park (NP) is presented as part of the National Park Service Inventory & Monitoring - Vegetation Inventory Pr...
WITHDRAWN: Grassland utilization estimation method and system based on environmental sense
WITHDRAWN: Grassland utilization estimation method and system based on environmental sense
Abstract
The utilization of natural grassland is an important part of grazing animal husbandry. Effective monitoring and accurate estimation of the utilization of natural g...
WITHDRAWN: Grassland utilization estimation method and system based on environmental sense
WITHDRAWN: Grassland utilization estimation method and system based on environmental sense
Abstract
The utilization of natural grassland is an important part of grazing animal husbandry. Effective monitoring and accurate estimation of the utilization of natural g...
Spatio-Temporal Evolution of Ecological Sensitivity in the Desert of China from 1981 to 2022
Spatio-Temporal Evolution of Ecological Sensitivity in the Desert of China from 1981 to 2022
The northern desert of China plays an important strategic role in land resource security and national economic development. Research on the spatio-temporal changes of ecological se...
Open areas in patchy ecosystems: key spaces for vegetation survival.
Open areas in patchy ecosystems: key spaces for vegetation survival.
<p>Drylands are one of the largest biomes over the Earth, covering around 40% of land surface. These are water limited ecosystems where vegetation occupies the most f...
Reliability of phytoliths for reconstructing vegetation dynamics in northeast China
Reliability of phytoliths for reconstructing vegetation dynamics in northeast China
<p>&#160; Phytolith provides a new preconstruction and interpretation of palaeovegetation in either forest or grassland regions. In particular, the phytolith ...
Predicting Grassland Fire-Occurrence Probability in Inner Mongolia Autonomous Region, China
Predicting Grassland Fire-Occurrence Probability in Inner Mongolia Autonomous Region, China
Fires greatly threaten the grassland ecosystem, human life, and economic development. However, since limited research focuses on grassland fire prediction, it is necessary to find ...

