Publications by authors named "Emma J Hudgins"

Cities concentrate problems that affect human well-being and biodiversity. Exploring the link between mental health and biodiversity can inform more holistic public health and urban planning. Here we examined associations between bird and tree species diversity estimates from eBird community science datasets and national forest inventories with self-rated mental health metrics from the Canadian Community Health Survey.

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Biological invasions pose a rapidly expanding threat to the persistence, functioning and service provisioning of ecosystems globally, and to socio-economic interests. The stages of successful invasions are driven by the same mechanism that underlies adaptive changes across species in general-via natural selection on intraspecific variation in traits that influence survival and reproductive performance (i.e.

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Article Synopsis
  • Invasive non-native species, particularly feral domesticated animals, have caused significant economic harm globally, with total costs reaching $141.95 billion from just 18 species.
  • Feral livestock alone accounted for $90.03 billion in damages, with agriculture being the most affected sector ($80.79 billion), while regions like Oceania, North America, and Europe experienced the largest financial burdens.
  • Effective management strategies, including better regulations and public awareness, are essential to mitigate the socioeconomic and environmental impacts of these invasive feral populations.
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Biological invasions are a global challenge that has received insufficient attention. Recently available cost syntheses have provided policy- and decision makers with reliable and up-to-date information on the economic impacts of biological invasions, aiming to motivate effective management. The resultant database is now publicly and freely accessible and enables rapid extraction of monetary cost information.

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Ecological systems are quintessentially complex systems. Understanding and being able to predict phenomena typical of complex systems is, therefore, critical to progress in ecology and conservation amidst escalating global environmental change. However, myriad definitions of complexity and excessive reliance on conventional scientific approaches hamper conceptual advances and synthesis.

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  • Many invasive alien trees have significant ecological impacts, but their economic effects are less understood, leading to challenges in managing them.
  • Research summarized cost records for 72 invasive tree species, identifying $19.2 billion in costs from 1960 to 2020, primarily affecting agriculture.
  • Most costs stem from damage and losses, highlighting the need for more research on the economic impact of invasive trees, especially since many were introduced for ornamental purposes.
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The Indian Ocean represents a significant data gap in the evaluation of sea turtle population status and trends. Like many small island states, the Republic of Maldives has limited baseline data, capacity and resources to gather information on sea turtle abundance, distribution and trends to evaluate their conservation status. We applied a Robust Design methodology to convert opportunistic photographic identification records into estimates of abundance and key demographic parameters for hawksbill sea turtles (Eretmochelys imbricata) and green sea turtles (Chelonia mydas) in the Republic of Maldives.

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The biological sciences community is increasingly recognizing the value of open, reproducible and transparent research practices for science and society at large. Despite this recognition, many researchers fail to share their data and code publicly. This pattern may arise from knowledge barriers about how to archive data and code, concerns about its reuse, and misaligned career incentives.

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  • Invasive herpetofauna (amphibians and reptiles) have caused significant ecological, economic, and health issues globally, leading to a total cost of approximately 17.0 billion USD from 1986 to 2020.
  • The majority of these costs were linked to just two species, the brown tree snake and the American bullfrog, while costs for other invasive species were minimal and underreported.
  • The study highlights that most cost-related data comes from predictions rather than actual observations, indicating a need for more focused research on the impacts of invasive herpetofauna, especially in regions like Oceania and Europe where the costs are highest.
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Globalization has led to the introduction of thousands of alien species worldwide. With growing impacts by invasive species, understanding the invasion process remains critical for predicting adverse effects and informing efficient management. Theoretically, invasion dynamics have been assumed to follow an "invasion curve" (S-shaped curve of available area invaded over time), but this dynamic has lacked empirical testing using large-scale data and neglects to consider invader abundances.

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The global increase in biological invasions is placing growing pressure on the management of ecological and economic systems. However, the effectiveness of current management expenditure is difficult to assess due to a lack of standardised measurement across spatial, taxonomic and temporal scales. Furthermore, there is no quantification of the spending difference between pre-invasion (e.

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Invasive alien species (IAS) are a growing global ecological problem. Reports on the socio-economic impacts of biological invasions are accumulating, but our understanding of temporal trends across regions and taxa remains scarce. Accordingly, we investigated temporal trends in the economic cost of IAS and cost-reporting literature using the InvaCost database and meta-regression modelling approaches.

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While generality is often desirable in ecology, customized models for individual species are thought to be more predictive by accounting for context specificity. However, fully customized models require more information for focal species. We focus on pest spread and ask: How much does predictive power differ between generalized and customized models? Further, we examine whether an intermediate "semi-generalized" model, combining elements of a general model with species-specific modifications, could yield predictive advantages.

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Estimating α-diversity and species distributions provides baseline information to understand factors such as biodiversity loss and erosion of ecosystem services. Yet, species surveys typically cover a small portion of any country's landmass. Public, global databases could help, but contain biases.

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We tested whether a general spread model could capture macroecological patterns across all damaging invasive forest pests in the United States. We showed that a common constant dispersal kernel model, simulated from the discovery date, explained 67.94% of the variation in range size across all pests, and had 68.

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