Empirical evidence of the vulnerability of dryland ecosystems to suffer abrupt changes in response to global change is highly needed to assess the applicability of threshold models, understand the underlying mechanisms and anticipate the onset of abrupt shifts.
The estimation of the sampling variance of point estimators under two-dimensional systematic sampling designs remains a challenge, and several alternative variance estimators have been proposed in the past few decades.
Propensity score matching (PSM) and distance-adjusted PSM enable estimation of causal effects from observational data by selecting controls that are similar to treated observations in terms of environmental covariates and spatial locations.
We show that aerial tips are self-similar fractals of whole shrubs and present a field method that applies this fact to improves accuracy and precision of biomass estimates of tall-shrubs, defined here as those with diameter at root collar (DRC) ≥ 2.5 cm.
Height-to-crown-base (HTCB) measurements are frequently used as inputs for growth and yield models. They are essential for reliable projections of stand structure over time required for sustainable forest management.
Air temperatures (Ta) are rising in a changing climate, increasing extreme temperature events. Examining how Ta increases are influencing extreme temperatures at the soil surface and belowground in the soil profile can refine our understanding of the ecological consequences of rising temperatures.
As the frequency and size of wildfires increase, accurate assessment of burn severity is essential for understanding fire effects and evaluating post-fire vegetation impacts. Remotely-sensed imagery allows for rapid assessment of burn severity, but it also needs to be field validated.