Spatial scale and sampling resolution affect measures of gap disturbance in a lowland tropical forest: implications for understanding forest regeneration and carbon storage

Treefall gaps play an important role in tropical forest dynamics and in determining above-ground biomass (AGB). However, our understanding of gap disturbance regimes is largely based either on surveys of forest plots that are small relative to spatial variation in gap disturbance, or on satellite imagery, which cannot accurately detect small gaps. We used high-resolution light detection and ranging data from a 1500 ha forest in Panama to: (i) determine how gap disturbance parameters are influenced by study area size, and the criteria used to define gaps; and (ii) to evaluate how accurately previous ground-based canopy height sampling can determine the size and location of gaps. We found that plot-scale disturbance parameters frequently differed significantly from those measured at the landscape-level, and that canopy height thresholds used to define gaps strongly influenced the gap-size distribution, an important metric influencing AGB. Furthermore, simulated ground surveys of canopy height frequently misrepresented the true location of gaps, which may affect conclusions about how relatively small canopy gaps affect successional processes and contribute to the maintenance of diversity. Across site comparisons need to consider how gap definition, scale and spatial resolution affect characterizations of gap disturbance, and its inferred importance for carbon storage and community composition.     

Perturbation analysis of 6DoF flight dynamics and passive dynamic stability of hovering fruit fly Drosophila melanogaster

Insects exhibit exquisite control of their flapping flight, capable of performing precise stability and steering maneuverability. Here we develop an integrated computational model to investigate flight dynamics of insect hovering based on coupling the equations of 6 degree of freedom (6DoF) motion with the Navier-Stokes (NS) equations. Unsteady aerodynamics is resolved by using a biology-inspired dynamic flight simulator that integrates models of realistic wing-body morphology and kinematics, and a NS solver. We further develop a dynamic model to solve the rigid body equations of 6DoF motion by using a 4th-order Runge-Kutta method. In this model, instantaneous forces and moments based on the NS-solutions are represented in terms of Fourier series. With this model, we perform a systematic simulation-based analysis on the passive dynamic stability of a hovering fruit fly, Drosophila melanogaster, with a specific focus on responses of state variables to six one-directional perturbation conditions during latency period. Our results reveal that the flight dynamics of fruit fly hovering does not have a straightforward dynamic stability in a conventional sense that perturbations damp out in a manner of monotonous convergence. However, it is found to exist a transient interval containing an initial converging response observed for all the six perturbation variables and a terminal instability that at least one state variable subsequently tends to diverge after several wing beat cycles. Furthermore, our results illustrate that a fruit fly does have sufficient time to apply some active mediation to sustain a steady hovering before losing body attitudes.     

The conformational and property space of acetylcholine bound to muscarinic receptors: an entropy component accounts for the subtype selectivity of acetylcholine

The conformational behavior of receptor-bound acetylcholine (ACh) was investigated by molecular dynamics simulations. Based on the great similarity among muscarinic receptors, the study was focused on the human M(1), M(2), and M(5) receptors as previously modeled by us. The results showed that receptor-bound ACh was not frozen in a single preferred conformation but preserved an unexpected fraction of its conformational space. However, there were marked differences between the three receptors since the ligand was mostly trans in the M(1) receptor, equally distributed among trans and gauche conformers in M(2), and exclusively gauche in the M(5); the greater flexibility of M(2)-bound ACh was paralleled by the greater flexibility of the occupied M(2) binding site. By contrast, the property space of receptor-bound ACh, and particularly its virtual (computed, conformation-dependent) lipophilicity, was restricted to relatively narrow ranges optimal for successful interaction. Experimental binding investigations to the individual human M(1), M(2), and M(5) muscarinic receptors showed ACh to have a 10-fold higher affinity for the M(2) compared to the M(1) and M(5) receptors. This selectivity was not confirmed by the calculated binding scores, a fact postulated to be caused by the absence of an entropy component in such binding scores. Indeed, the Shannon entropy of all geometric and physicochemical properties monitored were markedly higher in M(2)-bound ACh compared to M(1)-bound and M(5)-bound ACh. This finding suggests that the selectivity profile of acetylcholine for the M(2) receptor is largely entropy-driven, a fact that might explain the intrinsic difficulty to design subtype-selective muscarinic agonists.