William K. Cornwell's research while affiliated with UNSW Sydney and other places

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Publications (204)


APCalign: an R package workflow and app for aligning and updating flora names to the Australian Plant Census
  • Article

June 2024

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20 Reads

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1 Citation

Australian Journal of Botany

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William K. Cornwell

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[...]

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Here we present ‘APCalign’, an R package and accompanying browser-sourced application to align and update scientific names for Australian vascular plants to the most likely currently accepted name in the Australian Plant Census (APC) or a name in the Australian Plant Names Index (APNI). Scientific names are the label assigned to unique taxon concepts by the scientific community, but this common terminology is most useful if a taxon concept is consistently referred to by the same name. These links can be broken because of either spelling mistakes or taxonomic changes. Automated tools are required to resolve taxon lists, aligning and updating long lists of possibly erroneous scientific names to the most likely currently accepted names. It is essential that tools specific to the APC/APNI be developed, because these lists specify an endorsed national-level nomenclature used in government legislation and include the uniquely Australian concept of phrase names, absent in global taxonomic datasets. To align input names to names within the APC or APNI, ‘APCalign’ works progressively through a sequence of checks that combine different permutations of the input name, exact versus fuzzy matches, matches that consider the entire name input versus a subset of words, and character strings that indicate a name can be resolved only to a genus or family. The aligned names are then, when possible, updated to a currently accepted taxon concept within the APC. This package should facilitate all research outputs that require diverse scientific name lists to be merged or outdated lists to be updated.

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Faster than expected: Release of nitrogen and phosphorus from decomposing wood

April 2024

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22 Reads

Deadwood represents globally important carbon, nitrogen, and phosphorus pools. Current wood nutrient dynamics models are extensions of those developed for leaf litter decomposition. However, tissue structure and dominant decomposers differ between deadwood and litter, and recent evidence suggests that decomposer stoichiometry in combination with litter quality may affect nutrient release. ● We quantified decomposition and release of carbon and nutrients from wood for two stem sizes of 22 tree species in a phosphorus-limited temperate forest near Sydney, Australia, and compared these to estimates from leaf litter literature. ● Following theory, nitrogen and phosphorus accumulated during early decomposition, but began to decline earlier than expected from work on leaves. Deadwood converged on higher carbon:nitrogen (50) and nitrogen:phosphorus (80) ratios than in leaf litter studies. Carbon:nitrogen at which nitrogen was released was higher in large stems (~135) than small stems (~95); both being higher than leaf litter. ● Drawing from the literature, these differences in nitrogen and phosphorus dynamics may be due to the identity of wood decomposers. Carbon:nitrogen of wood decomposers is higher than mean carbon:nitrogen of leaf litter decomposers, and this difference in stoichiometry may have important flow-on effects for nutrient cycles in forests.


Global Distribution of Vascular Epiphyte Diversity

November 2023

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59 Reads

Epiphytes are a large and understudied part of global diversity. Classic work by Gentry and Dodson argued that Neotropical, mid-elevation forests are centers of diversity for this growth form. We assessed this hypothesis with modern global geospatial and climatic datasets. By connecting growth form and occurrence data with climatic records at the same locations, we quantified spatial and climatic distributions of epiphyte species richness. Latitude was a powerful driver of epiphyte distributions, with peaks at the equator; here, epiphytes contributed significantly to vascular plant species richness with greatest prevalence at mid elevations and in the Neotropics. Climatically, precipitation was a stronger determinant than temperature as to where epiphytic species thrive. The study provides robust support for the hypotheses that plant diversity in Neotropical, mid-elevation forests is unusually concentrated in the epiphytic growth form, and the lower proportion of epiphytic diversity elsewhere may have both physiological or biogeographic explanations. The particular features of climate change in Neotropical mid-elevation habitats, and the implications for epiphyte diversity, are worthy of urgent research.


An illusion of a macroecological law, abundance-occupancy relationships

November 2023

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136 Reads

In macroecology, a classic empirical observation has been positive relationships between local abundance and species' range, known as the abundance-occupancy relationships (AORs). The existence of this empirical relationship has informed both theory development and applied questions. Notably, the spatial neutral model of biodiversity predicts AORs. Yet, based on the largest known meta-analysis of 16,562,995 correlations from ~3 billion bird observations, this relationship was indistinguishable from zero. Further, in a phylogenetic comparative analysis, species range had no predictive power over the global mean abundance of 7,464 bird species. We suggest that publication and confirmation biases may have created AORs, an illusion of a ‘universal’ pattern. This nullification highlights the need for ecologists to instigate a credibility revolution like psychology, where many classic phenomena have been nullified.


A global analysis reveals the dynamic relationship between sexual selection and population abundance in space and time

September 2023

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23 Reads

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1 Citation

Sexual selection leads to the evolution of extravagant weaponry or ornamental displays, with the bearer of these traits gaining a reproductive advantage, potentially at a cost to the individual’s survival. The consequences of sexual selection can therefore impact species demographic processes and overall abundance. Currently, evidence connecting the effects of sexual selection to demography and abundance is conflicting. This study aims to rectify this issue by assessing the relationship between sexual selection and abundance in Passerines across the globe, importantly, accounting for migration and seasonality. We integrate a global citizen science dataset of bird observations with Passerine trait data to show that migration and seasonality are key moderators in the relationship between sexual selection and abundance. For resident Passerines, the relationship is consistently positive across the year, whereas for migrant Passerines, the relationship is overall neutral, with a significant negative dip during pre-breeding migration (for Northern Hemisphere Passerines). Our results suggest that sexual selection bolsters populations that experience less intense natural selection.


Four responses of species ranges to climate change, shown along a gradient of increasing temperature: (i) geographic stasis, where a species occupies the same spatial position, and the observed temperature niche has become hotter over time; (ii) range contraction, where a species retains the same leading range edge, which has become hotter, but experiences mortality at the trailing range edge; (iii) range expansion, where a species retains the same trailing range edge, which has become hotter, and geographically expands at the leading range edge; and (iv) climate tracking, where a species maintains its temperature niche via expansion at the leading range edge and mortality at the trailing range edge.
Map of the study region in south‐eastern Australia, with study sites represented by coloured circles (N = 204) and state boundaries shown as solid black lines.
Quadratic models of biocrust cover (a, b), lichen species richness (c, d) and bryophyte species richness (e, f) along gradients of mean annual temperature (a, c, e) and the number of rain days >1 mm (b, d, f). Temperature niche breadths (focal widths) are shown as horizontal bars across fitted parabolas (rain niche breadths were too broad to depict here), raw data are shown as background points, and estimated niche optima are shown above the raw data, with error bars representing 95% bootstrap confidence intervals and density curves representing the distribution of bootstrapped values.
Temperature niche optima for all biocrust taxa extracted from quadratic models of abundance, with points representing the fitted optimum, density curves representing the distribution of bootstrapped optima values, and (*) highlighting species in which 95% bootstrap confidence intervals do not overlap among sampling times. The panel on the right shows the shape of the entire fitted quadratic niches for each sampling time.
Rainfall niche optima for all biocrust taxa extracted from quadratic models of abundance, with points representing the fitted optimum, and density curves representing the distribution of bootstrapped optima values. The panel on the right shows the shape of the entire fitted quadratic niches for each sampling time.
Limited range shifting in biocrusts despite climate warming: A 25‐year resurvey
  • Article
  • Full-text available

July 2023

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74 Reads

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1 Citation

Journal of Ecology

Journal of Ecology

The ranges of many species globally have already shifted to maintain climatic equilibrium in the face of climate change. Biocrusts—soil surface dwelling communities of lichens, bryophytes and microbes—play important functional roles in many ecosystems, particularly in drylands. Compared to better studied animal and plant taxa, dryland biocrusts have different establishment requirements and have never been assessed for historical range shifts. Here, we revisited the sites (N = 204) of a 25‐year‐old biocrust survey across a large area (400,000 km²) of drylands in south‐eastern Australia. We used quadratic models to quantify changes in the climate niches of 15 lichen, eight moss and five liverwort taxa, as well as biocrust cover and richness. Our models showed that the observed climatic niches of most taxa have become hotter and drier in the past quarter century, yet the responses of the vast majority of taxa are consistent with remaining in the same geographic space. A similar pattern was observed at the community level, where the peak of biocrust cover and richness now occurs in a hotter, drier environment. Notable exceptions were the liverwort Riccia lamellosa and lichens in the genera Cladonia and Xanthoparmelia, which showed signs of contraction at their arid range edges. Unlike more mobile taxa, most biocrust species have yet to shift geographically and may already be lagging behind the pace of climate change. One explanation for the mortality lag is that long‐term climate variability in the system is extensive, which may have selected for the ability to withstand multi‐year warm periods as long as there is an eventual return to milder conditions. However, no forecasts of future climate include a return to milder conditions, suggesting there will be an eventual loss of ecosystem multifunctionality at the contracting front. Expansion lags are most likely due to delays in the mortality of competing vascular plants. Synthesis: Our study provides a valuable contribution to the knowledge of range shifts in understudied taxa and highlights a future need to promote the expansion of biocrusts to maintain the provision of ecosystem functions and services across their range.

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Interspecific variation in spore size and symbiotic lifestyles across the fungal kingdom: (a) Illustration of the diversity of shapes and sizes among all fungal sexual and asexual spore types. (b) Interspecific spore size variation is more than eight orders of magnitude across the kingdom, ranging from the mitospores of Phoma muscivora of 9.0 × 10⁻² μm³ to multinucleate spores of the mycorrhizal fungus Scutellospora scutata of 7.8 × 10⁷ μm³. This variation is comparable to that of other offspring structures such as angiosperm seeds and bird eggs (to aid comparison, all offspring structures are presented on the same scale [μm³]). (c) Phylogenetic tree with terminal branches representing orders (the number of species per order for which we collected spore data is given in parenthesis). The corresponding heatmap displays order averages (in logarithmic scale) of spore size as volume in yellow‐to‐red colour scale for sexual and asexual spores separating spores types based on the number of nuclei, which is a major distinction in spore types for fungi (see main text and supplementary material for a detailed explanation on descriptions of the biology of these distinct spores). Fungal spores (n = 26, 134 species), avian egg data (n = 1395 species) were obtained from⁷, while seed data (n = 34,390 species) were obtained from the seed database of Kew Botanical Garden (http://data.kew.org/sid/?_ga=2.73581714.1287366807.1501084977‐1309187973.1501084964).
Shifts in size of sexual and asexual spores between asymbiotic fungi (blue points) and symbiotic groups (red points) across Dikarya (a, b) and non‐Dikarya fungi (c). Point ranges show the predicted mean values (points) and associated standard errors (ranges) for each symbiotic group based on phylogenetic linear regression models using a taxonomy‐based phylogeny. The horizontal blue lines are added to help comparison of asymbiotic and symbiotic fungi (except for Microsporidan fungi that have not recorded asymbiotic species). Similar results were obtained in models using a genome‐based phylogeny (see Figure S2).
Asymbiotic fungal species exhibit a negative relationship between spore size and geographic distributions, while species plant‐associated fungi do not. (a, c). Relationship between spore size and geographic distribution (based on polygon area [a] and the maximum distance between samples in which species were detected [c]) for asymbiotic fungal species and fungal species exhibiting varying degrees of host association to plants. Fungal species were detected in global surveys of environmental DNA from soil and plant material. (b, d) Bayesian models were fitted to estimate posterior distributions of the slope parameters representing the strength of the relationship between geographic extent and spore volume. The density plot represents the likelihood that a value associated with the slope estimate was present in the posterior distribution. These models included random intercepts representing the taxonomic order and spore type, as well as the primer set used to amplify fungal DNA (Tables S6–S8). Only species producing a single spore type were used in this analysis.
Symbiotic status alters fungal eco‐evolutionary offspring trajectories

June 2023

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713 Reads

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10 Citations

Ecology Letters

Despite host‐fungal symbiotic interactions being ubiquitous in all ecosystems, understanding how symbiosis has shaped the ecology and evolution of fungal spores that are involved in dispersal and colonization of their hosts has been ignored in life‐history studies. We assembled a spore morphology database covering over 26,000 species of free‐living to symbiotic fungi of plants, insects and humans and found more than eight orders of variation in spore size. Evolutionary transitions in symbiotic status correlated with shifts in spore size, but the strength of this effect varied widely among phyla. Symbiotic status explained more variation than climatic variables in the current distribution of spore sizes of plant‐associated fungi at a global scale while the dispersal potential of their spores is more restricted compared to free‐living fungi. Our work advances life‐history theory by highlighting how the interaction between symbiosis and offspring morphology shapes the reproductive and dispersal strategies among living forms.



Using Machine Learning to Link Climate, Phylogeny and Leaf Traits in Eucalypts Through a 50-fold Expansion of Current Leaf Trait Datasets

May 2023

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35 Reads

Leaf size varies within and between species, and previous work has linked this variation to the environment and evolutionary history separately. However, many previous studies fail to interlink both factors and are often data limited. To address this, our study developed a new workflow using machine learning to automate the extraction of leaf traits (leaf area, largest in-circle area and leaf curvature) from herbarium collections of Australian eucalypts (Eucalyptus, Angophora and Corymbia). Our dataset included 136,599 measurements, expanding existing data on this taxon’s leaf area by roughly 50-fold. With this dataset, we were able to confirm global positive relationships between leaf area and mean annual temperature and precipitation. Furthermore, we linked this trait-climate relationship to phylogeny, revealing large variation at the within-species level, potentially due to gene flow suppressing local adaptation. At deeper phylogenetic levels, the relationship strengthens and the slope converges towards the overall eucalypt slope, suggesting that the effect of gene flow relaxes just above the species level. The strengthening of trait-climate correlations just beyond the intraspecific level may represent a widespread phenomenon across various traits and taxa. Future studies may unveil these relationships with the larger sample sizes of new trait datasets generated through machine learning.


Figure 3. Model results of our mixed effect model testing two questions, stratified for each sampling priority status. Top, the effect of the dynamic map versus the control study regions with positive values indicating that the participants presented with the dynamic map increased their sampling in the given priority status relative to the control regions. Bottom, the difference between the dynamic map and the dynamic map with a leaderboard study regions, with positive values indicating the leaderboard promoted increased sampling relative to the dynamic map only treatment. Each point represents the effect size and the black line represents the 95% confidence interval. When the 95% confidence interval does not overlap zero, this can be interpreted as a significant effect of the experiment.
Experimental evidence that behavioral nudges in citizen science projects can improve biodiversity data

April 2023

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219 Reads

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8 Citations

BioScience

One way to improve the value of citizen science data for a specific aim is through promoting adaptive sampling, where the marginal value of a citizen science observation is dependent on existing data collected to address a specific question. Adaptive sampling could increase sampling at places or times—using a dynamic and updateable framework—where data are expected to be most informative for a given ecological question or conservation goal. We used an experimental approach to test whether the participants in a popular Australian citizen science project—FrogID—would follow an adaptive sampling protocol aiming to maximize understanding of frog diversity. After a year, our results demonstrated that these citizen science participants were willing to adopt an adaptive sampling protocol, improving the sampling of biodiversity consistent with a specific aim. Such adaptive sampling can increase the value of citizen science data for biodiversity research and open up new avenues for citizen science project design.


Citations (62)


... Given the intensive curatorial investment needed to maintain park lists, these resources often require taxonomic updates, first programmatically (e.g., with APCalign; Wenk et al. 2024) and second manually to account for splits. Given the dynamic nature of plant taxonomy, a delay between updates of even a few years can result in the build-up of numerous taxonomic changes that need to be addressed. ...

Reference:

Curating reserve level species lists in an era of diverse and dynamic data sources
APCalign: an R package workflow and app for aligning and updating flora names to the Australian Plant Census
  • Citing Article
  • June 2024

Australian Journal of Botany

... This is perhaps because phylogenetic components cannot be modelled at the community level, although phylogeny can still be modelled within each community. For instance, Valcu et al. [54] (see also [55,56,57]) tested the classic evolutionary theory of ageing that high extrinsic mortality rates result in the evolution of shorter longevity. The authors obtained median longevity values and predator diversity indexes from 10 708 communities (grid cells) and found that predator pressure predicted community-level avian longevity, corroborating their species-level phylogenetic comparative analysis. ...

A global analysis reveals the dynamic relationship between sexual selection and population abundance in space and time
  • Citing Preprint
  • September 2023

... Multiple studies have reported the effects of climate change on animal and plant communities [155], often highlighting a response lag known as climate debt [156][157][158][159][160]. This lag seems to be linked to the difficulties of animal and plant communities in keeping up with fast climatic changes [160]. ...

Limited range shifting in biocrusts despite climate warming: A 25‐year resurvey
Journal of Ecology

Journal of Ecology

... were amended with non-sterile soil sievate (the suspension that passed through a 38 μm sieve) following the procedures of Koide and Li (1989). With this method, the vast majority of relatively large AM fungal spores are trapped on the sieve, while smaller soil microorganisms are allowed to pass through and can then be re-introduced into the steam-pasteurized soil; however, it is worth noting that some endosymbiotic fungal taxa may have small spores (<30 μm) that could through a sieve of this size (Aguilar-Trigueros et al., 2023). ...

Symbiotic status alters fungal eco‐evolutionary offspring trajectories

Ecology Letters

... At this stage, citizen science platforms encourage maximizing data. However, the possibility of maximizing valuable data with minimum effort exists (Callaghan et al., 2023), and should perhaps be popularized. ...

Experimental evidence that behavioral nudges in citizen science projects can improve biodiversity data

BioScience

... collections/microscope-slide-collection), in combination with machine learning tools for analyzing herbarium specimens (e.g. Wilde et al., 2023), offer new opportunities for testing evolutionary hypotheses about form and function from the cellular-to whole plant-levels. ...

Trait-climate relationships within and among taxa using machine learning and herbarium specimens
  • Citing Article
  • April 2023

American Journal of Botany

... Similarly, the species diversity of coprophages may increase with increased grazing intensity as higher livestock can produce more dung resources [37]. It is, therefore, possible that both saprophages and coprophages occur with an intermediate level of species richness and diversity at moderate grazing intensity, likely leading to a higher species diversity of detritivores [38]. Thus, we hypothesize that moderate grazing would promote the species diversity of detritivores, including saprophages and coprophages. ...

Herbivores disrupt the flow of food resources to termites in dryland ecosystems

... In response to this urgent demand, more efficient methods need to be adapted to aid in the understanding of biodiversity distribution and trends across extensive geographic scales. Data produced by citizen science have been making substantial contributions to biodiversity monitoring at the global scale (Chandler et al., 2017;Johnston et al., 2023;Mesaglio et al., 2023). These efforts have also influenced public policy (Fritz et al., 2019;Roger et al., 2023) and raised awareness among both the public and policymakers (Danielsen et al., 2014). ...

Photographs as an essential biodiversity resource: drivers of gaps in the vascular plant photographic record

... Moreover, Namibia's high level of endemism further justi es its selection, and the availability of the NBD database provides a reference for arthropod biodiversity in the country. The ndings of this study provide insights into the recognition of different arthropod orders and the completeness of documentation in iNat and GBIF similar to a previous study for Australia (Mesaglio et al. 2023). The results allow us to identify major gaps and opportunities for future research, for example the identi cation of arthropod orders and species that could serve as agship species for future monitoring and conservation efforts in such projects. ...

Recognition and completeness: two key metrics for judging the utility of citizen science data

... Beyond microbial biomass, cross-biome differences in microbial traits may ultimately be more valuable for informing and evaluating models that explicitly represent microbial activity. For example, plant trait variation across environmental gradients may be critical for representing biotic control (and variation) in terrestrial energy, water, and biogeochemical fluxes (Butler et al., 2017;Díaz et al., 2022). Similar information about environmental controls over soil microbial traits will be critical to further developing models that explicitly represent microbial activity. ...

The global spectrum of plant form and function: enhanced species-level trait dataset

Scientific Data