Publication trends in global biodiversity research on protected areas

One of the main strategies to reduce the global loss of biodiversity has been the establishment of protected areas (PAs). High quality biodiversity knowledge is essential to successfully design PAs and PA networks, and to assess their conservation effectiveness. However, biodiversity knowledge is taxonomically and geographically biased. Even though PAs are typically more intensively surveyed than surrounding landscapes, they cannot avoid biodiversity knowledge shortfalls and biases. To investigate this, we performed a systematic literature review to assess publication trends in global biodiversity research taking place in PAs. Our data indicate that animals are more studied than plants, with vertebrates overrepresented in relation to invertebrates. Biodiversity in PAs has been mainly measured taxonomically (species richness or species diversity), while functional and phylogenetic diversity have rarely been considered. Finally, as predicted, there was a geographic bias towards European and USA terrestrial protected areas. These observed trends mirror more general studies of biodiversity knowledge shortfalls and could have direct negative consequences for conservation policy and practice. Reducing these biases and shortfalls is essential for more effective use of limited conservation resourcesSLC was supported by a FPI predoctoral grant financed by the Autonoma ´ University of Madrid. RJL was supported via the European Union’s Horizon 2020 research and innovation programme under grant agreement No 854248. AMCS was supported by the Ramon ´ y Cajal program (RYC2020-029407-I), financed by the Spanish Ministerio de Ciencia e Innovacio

Taxonomic bias in amphibian research : Are researchers responding to conservation need?

Amphibians are very diverse, widely distributed, and the most endangered class of vertebrates. As with other taxa, effective conservation of amphibians needs to be supported by detailed scientific knowledge. However, species rich and broadly distributed taxa are typically characterized by high variability in research effort. Our objective was therefore to understand which factors (ecological and cultural) have led some amphibian species to be more researched than others. We used two proxies of research effort: i) the total number of articles on Web of Science (WoS) that mention the scientific name (or synonyms) of each species, and; ii) the number of conservation science articles on WoS that mention the scientific name (or synonyms) of each species. These measures were used as dependent variables in zero hurdle regression models with the aim of identifying the most important factors driving species-level knowledge production. Well researched species (generally, and for conservation) tend to have a longer history of scientific research, come from countries with high scientific capacity, have large body size, and to be present in man-made habitats. Endangered species tend to be less researched, generally and for conservation, possibly because they are often more difficult to study: many endangered amphibians are restricted to small, fragmented and remote habitats in countries with low scientific capacity. We conclude with a discussion of how taxonomic biases in research effort on amphibians can be addressed given the limited funds available for conservation research.Peer reviewe

Functional biogeography of oceanic islands and the scaling of functional diversity in the Azores

Analyses of species-diversity patterns of remote islands have been crucial to the development of biogeographic theory, yet little is known about corresponding patterns in functional traits on islands and how, for example, they may be affected by the introduction of exotic species. We collated trait data for spiders and beetles and used a functional diversity index (FRic) to test for nonrandomness in the contribution of endemic, other native (also combined as indigenous), and exotic species to functional-trait space across the nine islands of the Azores. In general, for both taxa and for each distributional category, functional diversity increases with species richness, which, in turn scales with island area. Null simulations support the hypothesis that each distributional group contributes to functional diversity in proportion to their species richness. Exotic spiders have added novel trait space to a greater degree than have exotic beetles, likely indicating greater impact of the reduction of immigration filters and/or differential historical losses of indigenous species. Analyses of species occurring in native-forest remnants provide limited indications of the operation of habitat filtering of exotics for three islands, but only for beetles. Although the general linear (not saturating) pattern of trait-space increase with richness of exotics suggests an ongoing process of functional enrichment and accommodation, further work is urgently needed to determine how estimates of extinction debt of indigenous species should be adjusted in the light of these findings

Transience of public attention in conservation science

Societal awareness of, and engagement with, environmental problems is a critical prerequisite for effective conservation programs. Research has revealed a strong general pattern whereby public attention received by cultural products diminishes over time. If transposed to conservation, this transience of societal attention is likely to be of major importance because it can limit motivation to support conservation efforts. We address the concept of attention transience applied to conservation, discuss its major drivers and mechanisms, and provide a short overview of conservation issues for which this phenomenon is expected to be particularly relevant. Attention transience leaves a brief window of opportunity for conservationists to focus public awareness and to mobilize necessary support. In this context, it is critical to maximize the conservation benefits generated during these short bursts of attention, especially through tailored conservation marketing campaigns with targeted message framing and regular efforts to refocus attention on key issues

No visit, no interest: How COVID-19 has affected public interest in world's national parks

The use of digital content has become a powerful tool to evaluate and track macro-scale trends in human-nature relations. This is an emerging field of study known as conservation culturomics, that seeks to understand human culture through quantitative analysis in large bodies of digital content. Here, we used relative search volume on Google Search as a culturomic metric of public interest to investigate the global impact of the 2020 COVID-19 pandemic on national parks (NPs). Specifically, we focus on the impacts of limiting people?s mobility (through social isolation and lock-down measures) on public interest in NPs, since this is likely to have a strong causal relationship with park visitation. We generated public interest data for 2411 NPs from around the world for the period January 2016 to July 2020, to explore the relationship between relative search volume and periods of greater and lesser mobility restrictions due to the COVID-19 pandemic. We observed a global trend of declining public interest in national parks during the initial phase of the coronavirus pandemic, although there was considerable variation between both parks and countries. For example, contrary to the global trend public interest in NPs increased in Finland during the first lock-down. Significantly, countries whose national parks are highly dependent on international visitors (e.g., South Africa and India) had very severe declines in public interest. Our study reinforces the key role that visitation plays in driving public interest in national parks and illustrates the utility of culturomic methods for monitoring human-park interactions at scale.Peer reviewe

A big data approach to identify the loss of coastal cultural ecosystem services caused by the 2019 Brazilian oil spill disaster

In August 2019, the Northeast coast of Brazil was impacted by an extensive oil spill, with immediate effects on marine and coastal ecosystems and significant impacts on tourism and food security. The human dimension of those impacts also includes the loss of cultural ecosystem services (CES); the non-material benefits stemming from strongly rooted cultural practices and relationships with nature. CES are of great importance for local residents and visitors that flock to Brazilian iconic beaches, however, they are difficult to measure using traditional assessment methods due to their subjective and non-tangible nature. Here, we use a big data approach to assess and map the loss of CES in the Northeast coast of Brazil caused by the recent oil spill. We analysed 2,880 digital images (published on the image sharing platform Flickr) taken before and during the disaster in affected locations, using a combination of automated techniques. Results showed a sharp decline in the number of users posting photos of locations affected by oil spill, and a decline in photos representing landscape and cultural appreciation. Our big data approach provides a fast and automated way to assess CES at large spatial scales that can be used to monitor the social impacts of environmental disasters.Peer reviewe

The island immaturity - speciation pulse model of island evolution: an alternative to the ‘‘diversity begets diversity’’ model

Islands have long provided model systems in which ecologists and evolutionary biologists have developed, tested and refined models for species diversity (Whittaker and Ferna´ndez-Palacios 2007). In two recent papers, Emerson and Kolm (2005a, b) have presented and discussed multiple regression analyses from two oceanic archipelagos, the Canaries and Hawaii, demonstrating for plants and arthropods that islands of greater species richness also have higher proportions of single island endemics (SIEs). They claim this as evidence that higher species richness of a taxon drives higher rates of diversification in that taxon, i.e. that ‘‘diversity begets diversity’’. Their analysis is interesting, but given that it is an analysis of proportions of SIEs not rate of species production, it is ultimately inconclusive as to mechanisms leading to the relationship. It might tell us, as inferred by Emerson and Kolm (2005a, b), that high species richness creates the conditions for high rates of speciation through: 1) competitive interactions, 2) genetic drift due to small population sizes, and 3) greater community structural complexity. But it could also be that the relationship is a by-product of circumstances not adequately captured in their analyses. Herein, we develop an alternative model, positing that the opportunities for speciation have a broadly predictable relationship to the life cycle of oceanic islands. We term our model the island immaturity speciation pulse (IISP) model of island evolution. Intrinsic to this model is that opportunity drives speciation rate and that opportunity is greatest at a relatively early stage of an island’s life cycle, when intrinsic carrying capacity exceeds species richness by the greatest margin, i.e. when there is greatest ‘‘vacant niche space’’. As islands mature, both richness and endemism increase in tandem, but as islands decline in their old age, opportunities for speciation diminish, in tandem with a reduced carrying capacity (and reduced numbers of SIEs). Our argument is that the mechanisms identified by Emerson and Kolm (2005a, b), whilst each having a role in island evolution, make for an incomplete set of key island mechanisms and that in particular they neglect the likely importance of competitive release early in the life cycle of an island, and of the subsequent decline in carrying capacity, for the proportions of single island endemics (see Peck et al. 1999). In setting out the IISP model, we describe the observations on which it is based, and then examine what we expect in terms of critical rates, and emergent patterns of SIEs, comparing our model with that put forward by Emerson and Kolm (2005a, b). We illustrate our model with reference to data for the arthropods and plants of the Canary Islands (cf. Emerson and Kolm 2005a)

Public awareness and engagement in relation to the coastal oil spill in northeast Brazil

Social media data is a rich source of information to assess human activities in catastrophic events. Here, we use social media data to understand how the 2019 Brazilian oil spill influenced social attitudes. Data were collected from the globally popular Instagram platform between August 1, 2019 and March 1, 2020. First, we manually identified the 5 most popular (portuguese language) hashtags related to the oil spill #oleonononordeste;#desastreambiental;#ma rsemoleo;#sosnordeste;#ma rsempetroleo. In the sequence, we collected information on captions, post metadata and users associated with posts retrieved using the selected hashtags. We identified a total of 7,413 posts. These posts were grouped in topics: government (47.76%), protest (24.37%), volunteers (24.45%), biodiversity (0.003%), origin (0.006%), tourism (0.008%) and others (0.016%). All topics had the peak of posts in October and November 2019. Nevertheless, interest in the oil spill was temporary, with most posts appearing in the 2-4 months after the beginning of the disaster. Our findings illustrate the enormous potential of using social media data for understanding and monitoring human engagement with environmental disasters, but also suggest that conservationists and environmental groups may only have a limited 'window of opportunity' to engage and mobilize public support for remediation and restoration efforts.Peer reviewe

iEcology: Harnessing Large Online Resources to Generate Ecological Insights

Digital data are accumulating at unprecedented rates. These contain a lot of information about the natural world, some of which can be used to answer key ecological questions. Here, we introduce iEcology (i.e., internet ecology), an emerging research approach that uses diverse online data sources and methods to generate insights about species distribution over space and time, interactions and dynamics of organisms and their environment, and anthropogenic impacts. We review iEcology data sources and methods, and provide examples of potential research applications. We also outline approaches to reduce potential biases and improve reliability and applicability. As technologies and expertise improve, and costs diminish, iEcology will become an increasingly important means to gain novel insights into the natural world.Peer reviewe