Adding Silva paper

src/data/papers-citing-parcels.ts

@@ -2482,4 +2482,13 @@ export const papersCitingParcels: Paper[] = [
     abstract:
       'The distance that offspring disperse from their parents affects how a species responds to habitat disturbance, climate change, and interspecific interactions. For many benthic species, this dispersal is via planktonic larvae, but the distance these larvae disperse is difficult to observe directly. Dispersal distance has usually been estimated indirectly by combining an observed quantity (e.g., the rate of spread of an invasive organism or genetic similarity between locations) with a model that links that quantity to the dispersal of larvae. The estimates of dispersal distance based on the speed of spread of invasive organisms have led many researchers to conclude that the larvae of most of these organisms disperse much less than would be expected if they were being passively transported by the expected ocean currents (Shanks et al.; Shanks). I argue that the discrepancy is instead caused by the choice of model linking dispersal distance to invasion speed. Their model neglected the impact of life history, population growth, and oceanographic parameters on invasion speed. When dispersal distance is estimated from a more complete model of invasion speed, it is found that larval dispersal distance is not much less than would be expected for larvae drifting in the observed ocean currents.',
   },
+  {
+    title:
+      'Modelling the spatial bound of an eDNA signal in the marine environment - the effect of local conditions',
+    published_info: 'Frontiers in marine Science, 12',
+    authors: 'Silva, TAM, CPC Beraud, PD Lamb, W Rostant, HJ Tidbury (2025)',
+    doi: 'https://doi.org/10.3389/fmars.2025.1613001',
+    abstract:
+      'Environmental DNA (eDNA) is a powerful technique for biological assessments and monitoring in aquatic environments. The accurate interpretation of the source of eDNA detected requires understanding of its spatial and temporal bound. Studies which estimate eDNA dispersal in the aquatic environment, in particular the marine environment, are scarce and seldom represent the effect of hydrodynamics and eDNA decay. This study modelled eDNA dispersal in a coastal environment under diverse environmental conditions to assess how these conditions influence dispersal patterns. A modelling experiment shows that under thermally stratified conditions sampling eDNA across this gradient reduces detectability. Statistical analysis shows that both median and extreme eDNA dispersal distances simulated by the model were primarily controlled by local tidal conditions (tidal excursion), followed by month (influencing the water temperature and thus eDNA decay rate). The median distance varies between 2.27 and 14.14 km which falls within the range of previously published model results, and is up to 10x greater than observed values. However this gap has been narrowing, and the present statistical model helps set limits on the distance to source as a function of regional oceanography and water temperature. The present method can also be used post-survey to help interpret the location and number of sources. This study constitutes an advance in modelling eDNA dispersal in coastal areas and crucially provides much needed evidence to underpin robust interpretation of eDNA monitoring data and to inform the design of eDNA monitoring programmes that account for variable environmental conditions.',
+  },
 ]