The tiny cosmos of organisms living on a streamer of algae in a river—the algal microbiome—could help scientists learn what turns an environment from healthy to toxic and back again. A multidisciplinary team led by Northern Arizona University has won $3 million from the National Science Foundation to translate the […]
Plant invasion typically alters the microbial communities of soils, which affects ecosystem carbon (C) and nitrogen (N) cycles. The responses of the soil fungal communities to plant invasion along its chronosequence remain poorly understood. For this study, we investigated variations in soil fungal communities through Illumina MiSeq sequencing analyses of […]
In order to better understand the variations in soil bacterial community and associated drivers following plant invasion, we investigated changes in soil bacterial community along with 9-, 13-, 20- and 23-year-old Spartina alterniflora Loisel. (SA) invasion in comparison with bare flat (BF) in the eastern Chinese coastal wetlands, based on […]
Soil microbial carbon-use efficiency (CUE), which is defined as the ratio of growth over C uptake, is commonly assumed as a constant or estimated by a temperature-dependent function in current microbial-explicit soil carbon (C) models. The temperature-dependent function (i.e., CUE = CUE0 + m × (T − 20)) simulates the dynamic CUE based on the specific […]
Ecoss graduate student Ali Martinez and a team of ecologists including her advisor Marks, Ecoss researchers Ben Koch and Zasha Welsh, Alex Flecker (Cornell University) and Steve Thomas (University of Nebraska) constructed a system of miniature streams whose temperatures Martinez can manipulate. The team studies how nutrients will move in […]
Data-model integration plays a critical role in assessing and improving our capacity to predict ecosystem dynamics. Similarly, the ability to attach quantitative statements of uncertainty around model forecasts is crucial for model assessment and interpretation and for setting field research priorities. Bayesian methods provide a rigorous data assimilation framework for […]
Soil organic carbon (SOC) has a significant effect on carbon emissions and climate change. However, the current SOC prediction accuracy of most models is very low. Most evaluation studies indicate that the prediction error mainly comes from parameter uncertainties, which can be improved by parameter calibration. Data assimilation techniques have […]
1.Dams disrupt the river continuum, altering hydrology, biodiversity and energy flow. Although research indicates that tributary inputs have the potential to dilute these effects, knowledge at the food‐web level is still scarce. 2.Here, we examined the riverine food‐web structure of the Colorado River below Glen Canyon Dam, focusing on organic […]
The linkages between fluvial geomorphology and aquatic ecosystems are commonly conceptualized as a one-way causal chain in which geomorphic processes create the physical template for ecological dynamics. In streams with a travertine step-pool morphology, however, biotic processes strongly influence the formation and growth of travertine dams, creating the potential for […]
Although the temperature sensitivity (Q10) of soil organic matter (SOM) decomposition has been widely studied, the estimate substantially depends on the methods used with specific assumptions. Here we compared several commonly used methods (i.e., one-pool (1P) model, two-discrete-pool (2P) model, three-discrete-pool (3P) model, and time-for-substrate (T4S) Q10 method) plus a […]