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Water birds serve as particularly valuable indicators of wetland health since wetlands provide critical feeding, foraging, nesting, roosting and breeding habitats for these species. Monitoring waterbird populations over time is, therefore, essential for assessing wetland ecosystem health. To achieve this, certain wetlands are designated as Ramsar sites by identifying those with high conservation importance and implementing conservation measures. To address the critical need for integrated monitoring of wetland water quality and biodiversity, where bird populations serve as key bioindicators of environmental health and ecosystem integrity, the proposed dataset provides detailed, multi-year records of water quality parameters and bird populations across five Ramsar wetlands in India: Ashtamudi, Vembanad and Sasthamkotta in Kerala; Harike Wetland in Punjab; and Point Calimere in Tamil Nadu. The data span from 2016 to 2024 for the Kerala sites and from 2018 to 2024 for Harike Wetland and Point Calimere. Using Sentinel-2 satellite imagery combined with site-specific shapefiles, surface reflectance data for each wetland are processed and analysed. For the three Kerala wetlands, seven key water quality parameters: total suspended solids (TSS), turbidity, conductivity, pH, ammoniacal nitrogen (NH₃-N), biochemical oxygen demand (BOD) and dissolved oxygen (DO) were estimated by calibrating models with in-situ measurements. In Harike Wetland and Point Calimere, the focus was on chlorophyll-a (Chl_a), cyanobacteria cell concentration (Cya), turbidity, coloured dissolved organic matter (CDOM)and dissolved organic carbon (DOC). Bird population data, centred on both migratory and resident water birds, are sourced from multiple resources and organisations, including eBird:, World Wide Fund for Nature - Kerala (WWF), Bird Count India, Kottayam Nature Society, Cochin Natural History Society (CNHS), Pathanamthitta Birders and Kollam Birding Battalion, to provide comprehensive insight into wetland biodiversity. By integrating geospatial, spectral, field and ecological information in correlation with bird population data, this dataset enables long-term tracking of wetland health and provides a foundation for bird occupancy prediction for researchers working in remote sensing, ecology and conservation. With the regression equation formulated from the collected dataset, the system could achieve a promising R² value, which indicates that this model can be further applied to these wetlands.

Conservation of biodiversity, including birds, continues to challenge natural-area managers. Stated-preference methods (e.g., choice experiment [CE]) are increasingly used to provide data for valuation of natural ecosystems. We used a CE to calculate birders' willingness to pay for different levels of bioecological attributes (threatened species, endemic species, and diversity) of birding sites with hypothetical entry fees. The CE was delivered at popular birding and avitourism sites in Australia and the United Kingdom. Latent-class modeling results revealed heterogeneous preferences among birders and correspondingly variable willingness to pay. Four clear groups were apparent: quantity-driven birders, special-birds seekers, confused respondents, and price-is-no-object birders. Quantity-driven birders were attracted to sites that deliver high levels of diversity and endemic species for which they were willing to pay $135 and $66 to visit, respectively, above what they were willing to pay to visit a site with low levels of diversity and few endemic and threatened species . Special-bird seekers valued threatened species and high levels of endemic species most (willingness to pay $45 and $46, respectively). Confused respondents' preferences were difficult to determine, but they were the most sensitive to the hypothetical entry fees, unlike the price-is-no-object birders, who were not at all sensitive to cost. Our findings demonstrate that birders are amenable to paying for their preferred birding experience. These payments could provide an alternative source of funding in some avitourism sites on both public and private land. Such alternative revenue streams should be explored and given full consideration in increasingly competitive conservation-financing environments.

Birdwatching (birding) is a nature-based recreational activity, often including arising early in the morning. In the present study, we tested the effect of a negative social jetlag (SJL) in birders. Negative SJL implies that people have an even earlier sleep-wake rhythm on free days or weekends. As birds' activities start before or shortly after sunrise, especially during spring and early summer, birdwatchers follow this diurnal pattern. Further, birders are not homogeneous and vary greatly in recreational specialisation. The study was based on an online survey with 2,404 birdwatchers (55% male) who responded to questions about their sleep-wake times and about their birding activities. Birders show the same differences between weekdays and weekends/free days sleep like most other people. However, birdwatching days started earlier than weekdays (14 min) and lasted longer. Thus, birdwatching days are shifted towards an earlier sleep-wake rhythm in total. Birdwatchers experience a sleep curtailment during birding. Instead of sleeping ~30 min longer on weekends, they arise ~15 min earlier, summing up to a sleep reduction of about ~45 min compared to a regular weekend. The more psychologically committed birders are, the less they sleep, the earlier they arise, and the earlier is their midpoint of sleep on birdwatching days; meaning that highly specialised birders shift their sleep-wake rhythm to an earlier time compared to their regular weekend, and even their weekday sleep. Thus, birders may suffer more from the short- and long-term consequences of negative SJL. The results might stand representatively for other nature-related leisure activities.

Birdwatching is a rapidly growing pastime, increasingly involving the pursuit of rare birds as birders build lists of species they encounter. We expected reports of rare bird discoveries to quickly draw birders to locations, and that the increased attention at those locations would decay over time. We hypothesized that magnitude of draw and rates of decay would vary depending on characteristics of the species and the geographic locations where rarities were discovered. Discoveries of additional rarities might affect both the draw and decay, so we also quantified empirical evidence for the Patagonia Picnic Table Effect (PPTE), a social feedback loop where rarity discoveries are presumed to lead to additional rarity discoveries because of the elevated levels of birder activity once an initial rarity is reported. Although commonly invoked, supporting evidence for the PPTE hypothesis is anecdotal. We used 10 years of eBird data (2008-2017) in the United States to (1) understand birding activity when rarities were reported and the factors associated with draw and decay, and (2) assess the frequency at which initial rarity discoveries lead to reports of additional rarities. Across 273 rarity events, birder effort, as indexed by numbers of eBird checklists, increased above the pre-event baseline level, with the magnitude of draw varying geographically. We found no indication that draw was influenced by species identity or rarity-level, but latitude and distance to small airport proved important in drawing additional eBirders to rare bird discoveries. Mean draw of rarities and mean number of checklists from the same locations prior to each rarity discovery grew through the ten years, suggesting an increased influence of eBird on birder behavior in general. Decay rates in birder effort were more gradual in rare bird events with longer durations. Effort declined below baseline-levels after rarities went undetected, suggesting, "location-fatigue" following rarity events. Results did not support the PPTE hypothesis. Controlling for site-specific circumstances, birders had no better chance of finding additional rarities during events than at times outside events. Our results emphasize that eBird checklist quantity at rarity events follows a predictable but variable pattern of draw and decay influenced by location and time since rarity discovery; that birders have statistically similar chances of finding rarities during normal "baseline" birding activities as they do when known rarities are present; and that eBird represents a largely untapped resource for studying factors that influence levels of birding activity.

Identifying rates at which birders engage with different species can inform the impact and efficacy of conservation outreach and the scientific use of community-collected biodiversity data. Species that are thought to be “charismatic” are often prioritized in conservation, and previous researchers have used sociological experiments and digital records to estimate charisma indirectly. In this study, we take advantage of community science efforts as another record of human engagement with animals that can reveal observer biases directly, which are in part driven by observer preference. We apply a multistage analysis to ask whether opportunistic birders contributing to iNaturalist engage more with larger, more colorful, and rarer birds relative to a baseline approximated from eBird contributors. We find that body mass, color contrast, and range size all predict overrepresentation in the opportunistic dataset. We also find evidence that, across 472 modeled species, 52 species are significantly overreported and 158 are significantly underreported, indicating a wide variety of species-specific effects. Understanding which birds are highly engaging can aid conservationists in creating impactful outreach materials and engaging new naturalists. The quantified differences between two prominent community science efforts may also be of use for researchers leveraging the data from one or both of them to answer scientific questions of interest.

Birdwatching is considered one of the fastest growing nature-based tourism sectors in the world. Tourists who identify as birdwatchers tend to be well-educated and wealthy travellers with a specific interest in the places they visit. Birdwatchers can bring economic resources to remote communities diversifying their economies and contribute to biodiversity conservation in areas of bird habitat with global significance. Alaska plays a critical role in understanding the link between bird conservation and bird tourism as it supports the world's largest concentration of shorebirds and is a global breeding hotspot for hundreds of migratory species, including many species of conservation concern for their decline across their ranges. Alaska is also a global destination for birders due to the large congregations of birds that occur during the spring, summer and fall seasons. Despite its global importance, relatively little information exists on the significance of bird tourism in Alaska or on opportunities for community development that align with conservation. This study used ebird data to look at trends in Alaska birdwatching and applied existing information from the Alaska Visitor Statistics Program to estimate visitor expenditures and the impact of that spending on Alaska's regional economies. In 2016, nearly 300,000 birdwatchers visited Alaska and spent $378 million, supporting approximately 4,000 jobs. The study describes bird tourism's contributions to local jobs and income in remote rural and urban economies and discusses opportunities for developing and expanding the nature-based tourism sector. The study points toward the importance of partnering with rural communities and landowners to advance both economic opportunities and biodiversity conservation actions. The need for new data collection addressing niche market development and economic diversification is also discussed.

The annual hunt of Muttonbirds (chicks of the Sooty Shearwater, Puffinus griseus), undertaken by the Rakiura Māori people of southern New Zealand, is economically and socially integral to their cultural identity. Muttonbirders concerned at ensuring that the hunt remains viable for coming generations have provided catch records to help ascertain historic trends in hunt success. Analysis of eight catch diaries for a 67-year period demonstrates considerable consistency across diaries in the variability of hunt success, as measured by annualized mean daily hunt tallies. A conservative estimate of the overall annual decline in hunt success is -1.89% (95% CI: -1.14% to -2.65%). Birders' observations of a changing relationship between chick quality and hunt success was evidenced across diaries. Reduced hunt success from the 1990s indicates that possible adult "knockdowns" and/or sustained substantial reductions in breeding proportions have occurred. Chick size has remained constant, suggesting little change in the provisioning environment. Catch per unit effort data, provided by a single diary, confirms a link between variability in annual hunt success and chick abundance. The Pacific Decadal Oscillation (PDO) and the Southern Annular Mode (SAM) are correlated with hunt success and chick size, respectively. Interannual PDO+ (or PDO-) values are correlated with higher (or lower) tallies, whereas SAM+ (or SAM) values are associated with larger (or smaller) chick size. Uncertainty in the relationship between the breeding Sooty Shearwater population, chick catch, and environmental perturbation in their feeding grounds could be reduced with the inclusion of hunt time in all diary records. Ongoing prolonged decline in a top-trophic-level predator such as the Sooty Shearwater raises serious concern that long-term oceanic changes have been occurring and that long-term sustainability of muttonbirding is in doubt.

This article follows shorebirds-migratory animals that have gone from game to nongame animals over the course of the past century in North America-as a way to track modern field biology, bureaucratic institutions, and the valuation of wildlife. Doing so allows me to make interrelated arguments about the history of wildlife management and science. The first is to note the endurance of observation-based natural history methods in field biology over the long twentieth century and the importance of these methods for the persistent contribution of amateurs. The second major line of argument advances the historical significance of scientific, government bureaucracies as sites of natural knowledge production. Historians of biology and ecology have tended to stress scientists with institutional homes in universities, museums, and at land-grant field stations-particularly as various forms of field biology became professionalized over the twentieth century. In contrast, migratory animals like shorebirds, whether under the auspices of the US Biological Survey or the contemporary Fish and Wildlife Service, were primarily studied and conserved by biologists in bureaucratic agencies. Mid- to low-level bureaucrats, along with avocational birders, have mainly been responsible for developing what we know about shorebird migration, behavior, and life history. And third, shorebirds foreground the importance of bureaucratic context for the valuation of nature, from their economic value to agriculture in the early twentieth century to their value as rare, endangered species in the twentyfirst.

Recognizing and anticipating change in industry patterns is a core competence for companies today, allowing managers to capitalize on opportunities before they are apparent to others. Yet despite the growing realization that recognizing patterns is important, companies are far from mastering how to do it, especially at the strategic level, where information is usually less profuse and much less precise. Pattern recognition is not a new skill, though, at least not to people outside the business world. Since antiquity, naturalists have relied on their ability to spot patterns to make sense of their surroundings. And surprisingly, there is much businesspeople can learn from bird-watching--as removed as it may seem from the fast-paced, bruising world of business--in terms of the cognitive demands pattern recognition requires. To learn more, HBR spoke with David Sibley, perhaps the nation's foremost birdwatcher and illustrator, and Julia Yoshida, a birder since 1965 and a physician at the Lahey Clinic in Burlington, Massachusetts. Sibley explains how expert birders draw on a wealth of tacit knowledge built up over the years to make identifications in a matter of seconds: "Once you've mastered common patterns, the real trick is to educate yourself about where discrepancies are most likely to appear--and to concentrate your attention on those areas." Although so fast as to be almost unconscious, the process he describes seems to be as methodical as one of Yoshida's medical diagnoses. "Recognizing a pattern involves knowing what to look for, what the possibilities are, and then sorting out those patterns when you are actually confronted with the patient," Yoshida says. "I don't think it's a eureka moment at all. It's a methodical process."

Birders and other ecotourists are traveling to increasingly remote areas of the world where sophisticated medical care may be difficult to obtain. This report presents a case of a Bushmaster (Lachesis muta muta) bite in Peru and details the difficulties encountered from initial care to evacuation and definitive medical care.

Citizen science-based research has been used effectively to estimate animal abundance and breeding patterns, to monitor animal movement, and for biodiversity conservation and education. Here, we evaluate the feasibility of using social media observations to assess the distribution of small apes in Peninsular Malaysia. We searched for reports of small ape observations in Peninsular Malaysia on social media (e.g., blogs, Facebook, Instagram, Twitter, YouTube, iNaturalist, etc.), and also used online, radio, print messaging, and word of mouth to invite citizen scientists such as birders, amateur naturalists, hikers, and other members of the public to provide information about small ape observations made during their activities. These reports provided new information about the occurrence of all three species of small apes (Hylobates agilis, Hylobates lar, and Symphalangus syndactylus) in Peninsular Malaysia. Social media users reported observations of small apes in almost every state. Despite the fact that small apes are believed to occur primarily in the interior of large forested areas, most observations were from fairly small (<100&#x2009;km2 ) forests near areas of high traffic and high human population (roads and urban areas). This suggests that most outdoor enthusiasts primarily visit well-traveled and easily accessible areas, which results in biased sampling if only incidental observations reported on social media are used. A more targeted approach specifically soliciting reports from citizen scientists visiting large, less-accessible forests may result in better sampling in these habitats. Social media reports indicated the presence of small apes in at least six habitats where they had not been previously reported. We verified the reported data based on whether reports included a date, location, and uploaded photographs, videos and/or audio recordings. Well-publicized citizen science programs may also build awareness and enthusiasm about the conservation of vulnerable wildlife species.

West Nile virus (WNV) is a mosquito-transmitted disease of birds that has caused bird population declines and can spill over into human populations. Previous research has identified bird species that infect a large fraction of the total pool of infected mosquitoes and correlate with human infection risk; however, these analyses cover small spatial regions and cannot be used to predict transmission in bird communities in which these species are rare or absent. Here we present a mechanistic model for WNV transmission that predicts WNV spread (R0) in any bird community in North America by scaling up from the physiological responses of individual birds to transmission at the level of the community. We predict unmeasured bird species' responses to infection using phylogenetic imputation, based on these species' phylogenetic relationships with bird species with measured responses. We focused our analysis on Texas, USA, because it is among the states with the highest total incidence of WNV in humans and is well sampled by birders in the eBird database. Spatio-temporal patterns: WNV transmission is primarily driven by temperature variation across time and space, and secondarily by bird community composition. In Texas, we predicted WNV R0 to be highest in the spring and fall when temperatures maximize the product of mosquito transmission and survival probabilities. In the most favorable months for WNV transmission (April, May, September and October), we predicted R0 to be highest in the "Piney Woods" and "Oak Woods & Prairies" ecoregions of Texas, and lowest in the "High Plains" and "South Texas Brush County" ecoregions. Dilution effect: More abundant bird species are more competent hosts for WNV, and predicted WNV R0 decreases with increasing species richness. Keystone species: We predicted that northern cardinals (Cardinalis cardinalis) are the most important hosts for amplifying WNV and that mourning doves (Zenaida macroura) are the most important sinks of infection across Texas. Despite some data limitations, we demonstrate the power of phylogenetic imputation in predicting disease transmission in heterogeneous host communities. Our mechanistic modeling framework shows promise both for assisting future analyses on transmission and spillover in heterogeneous multispecies pathogen systems and for improving model transparency by clarifying assumptions, choices and shortcomings in complex ecological analyses.

The lack of refined spatial detail on bird distribution in China has hindered further research due to the large geographic unit (provincial level) in existing national bird distribution data. Based on multi-source bird distribution data, we built a more spatially detailed distribution database for every bird species (1,371 species) in China, covering 2,908 counties. The sources on bird distribution are grouped into six categories: Handbooks, Literature; Fauna, Avifauna; Paper; Citizen Science data by ornithologists or birders; GPS tracing; and Website data. The database contains the following records: taxonomy, distribution data, suspicious species information, and data sources. Our database recorded 835 species (61%) appearing outside the distribution range previously known. The use of provincial boundaries as the smallest geographical unit has created misleading distribution results due to geographic aggregation for most species. The new database was built based on increased observational frequency and individuals observed in previously undetected areas particularly in Western China and towards higher altitudes and latitudes. They coincided with the discovery of the range expansion of some waterfowls into Xinjiang. The dataset provides a new base for Chinese and international ornithology studies, especially for those requiring more detailed distribution information for many taxa and large-scale regional research.

Land-use intensification on arable land is expanding and posing a threat to biodiversity and ecosystem services worldwide. We develop methods to link funding for avian breeding habitat conservation and management at landscape scales to equilibrium abundance of a migratory species at the continental scale. We apply this novel approach to a harvested bird valued by birders and hunters in North America, the northern pintail duck (Anas acuta), a species well below its population goal. Based on empirical observations from 2007-2016, habitat conservation investments for waterfowl cost $313&#x2009;M and affected <2% of the pintail's primary breeding area in the Prairie Pothole Region of Canada. Realistic scenarios for harvest and habitat conservation costing an estimated $588&#x2009;M (2016 USD) led to predicted pintail population sizes <3&#x2009;M when assuming average parameter values. Accounting for parameter uncertainty, converting 70-100% of these croplands to idle grassland (cost: $35.7B-50B) is required to achieve the continental population goal of 4&#x2009;M individuals under the current harvest policy. Using our work as a starting point, we propose continued development of modeling approaches that link conservation funding, habitat delivery, and population response to better integrate conservation efforts and harvest management of economically important migratory species.