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Responses of terrestrial ecosystems to temperature and precipitation change: a meta‐analysis of experimental manipulation
Global mean temperature is predicted to increase by 2–7 °C and precipitation to change across the globe by the end of this century. To quantify climate effects on ecosystem processes, a number of…
Biogeochemical and ecological feedbacks in grassland responses to warming
Feedbacks can modulate the way plants respond to warming, but difficulties in detecting long-acting feedbacks complicate understanding of the climatic effects on community structure and function…
Interactive effects of global change factors on soil respiration and its components: a meta‐analysis
A meta-analysis of 150 multiple-factor studies to examine the main and interactive effects of global change factors on soil respiration and its two components showed that elevated [CO2 ] (E), nitrogen addition (N), irrigation (I), and warming (W) induced significant increases in Rs by 28.6%, 8.7%, and 7.1%, respectively.
Climate change and human activities: a case study in Xinjiang, China
We examined both long-term climate variability and anthropogenic contributions to current climate change for Xinjiang province of northwest China. Xinjiang encompasses several mountain ranges and…
Vegetation Burn Severity Mapping Using Landsat-8 and WorldView-2
Spatiotemporal Analysis of Landsat-8 and Sentinel-2 Data to Support Monitoring of Dryland Ecosystems
A novel approach to accurately monitor land-surface phenology in drylands of the Western United States using a regression tree modeling framework that combined information collected by the Operational Land Imager onboard Landsat 8 and the Multispectral Instrument onboard Sentinel-2 is presented.
Responses of Ecosystem Carbon Cycling to Climate Change Treatments Along an Elevation Gradient
Global temperature increases and precipitation changes are both expected to alter ecosystem carbon (C) cycling. We tested responses of ecosystem C cycling to simulated climate change using field…
An Automated Cropland Classification Algorithm (ACCA) for Tajikistan by Combining Landsat, MODIS, and Secondary Data
An automated Cropland Classification Algorithm (ACCA) that will rapidly, routinely, and accurately classify agricultural cropland extent, areas, and characteristics over large areas such as a country or a region through combination of multi-sensor remote sensing and secondary data is developed.
Monitoring Landscape Dynamics in Central U.S. Grasslands with Harmonized Landsat-8 and Sentinel-2 Time Series Data
The temporal frequency of the HLS data improved the ability to track within-season grassland dynamics and improved results for areas prone to cloud contamination, suggesting a greater frequency of observations, such as from harmonizing data across all comparable Landsat and Sentinel sensors, is still needed.
Cumulative response of ecosystem carbon and nitrogen stocks to chronic CO2 exposure in a subtropical oak woodland
These findings challenge the treatment of terrestrial ecosystems responses to elevated CO2 in current biogeochemical models, where the effect of elevatedCO2 on ecosystem C balance is described as enhanced photosynthesis and plant growth with decomposition as a first-order response.