Search

[Display omitted] • Relative Severity and Extent of Decline are two dimensions of ecosystem degradation. • Tropical glaciers show consistent declines in ecosystem-specific indicators. • Habitat suitability decline correlates with loss of glacier ice in Andean regions. • Indirect indicator systematically underestimated risks of ecosystem collapse. • Local studies are required to validate results in isolated and restricted glaciers. Ecosystem risk assessments estimate the likelihood of major transformations (ecosystem collapse) over a specified time frame. They require an understanding of the biotic and abiotic processes that drive declines. Relative Severity and Extent of Decline quantify essential dimensions of ecosystem degradation as part of the International Union for the Conservation of Nature (IUCN) Red List of Ecosystems risk assessment protocol. These flexible and powerful concepts are operationalised through ecosystem-specific indicators of functional decline. Here, we examine trade-offs in risk assessment between direct, yet data-demanding indicators and indirect indicators that are more widely applicable with global data sets. Using a case study of multiple tropical glacier ecosystems, we compared estimates of risk based on a direct indicator of functional decline (ice mass) with those based on an indirect indicator (bioclimatic suitability). The direct estimate of Relative Severity was based on the projected changes in ice mass using a glacier ice mass balance and dynamics model, while the indirect estimate was calculated from the expected changes in suitability based on a correlative habitat suitability model parameterised with current occurrence records. For reference, we calculated probability of ecosystem collapse from simulations of the ice mass balance and dynamics model. We found that the indirect indicator systematically underestimated risks of ecosystem collapse compared to the direct indicator and returned a different rank order of risks across glaciers due to prominent discrepancies in some units. Small and isolated glaciers located outside the tropical Andes are uniformly exposed to high levels of degradation and have high probabilities of collapse before 2080, whereas tropical Andean glaciers exhibit different rates of degradation, but are expected to undergo very severe degradation before 2100. For these larger units a detailed analysis of spatial differences in future projections could inform regional and local strategies for future monitoring, management and conservation action that can benefit people and nature. Evaluating Relative Severity and Extent of Decline over time and with different ecosystem-specific indicators allowed us to describe trends across a group of functionally similar ecosystem types and compare their performance in assessment units of different size and risk of collapse. The methods could be applied to other ice or snow-dependent ecosystems, while the case study should be instructive for development of risk indicators in many other ecosystem types. [ABSTRACT FROM AUTHOR]

Kalanchoe daigremontiana and Stapelia gigantea are two succulent invasive species with potential impacts on recruitment of native vegetation in a protected area of importance for conservation of arid environments in northern South America. We hypothesized that while K. daigremontiana has the potential for inhibiting recruitment of native plants through allelopathic effects, S. gigantea could facilitate recruitment of nurse-dependent native taxa. To explore these contrasting impacts, we designed a comparative study and a transplant experiment. Density of native seedlings and species richness were significantly lower in patches invaded by K. daigremontiana when compared to patches with native vegetation or invaded by S. gigantea , suggesting that native-seedling recruitment is negatively affected by K. daigremontiana and not affected or facilitated by S. gigantea . The experiment did not generate results concordant with those obtained in the comparative study. Seedlings' recruitment of two selected native species was facilitated by presence of nurse-plants (exotics and natives); however, the magnitude of this effect varied according to the type of nurse-plant, susceptibility to herbivory, and herbivory level. We identify K. daigremontiana as the invasive with top need for management actions, because it has the potential to alter composition and physiognomy of native-plant communities in tropical arid environments. [ABSTRACT FROM AUTHOR]

Highlights: [•] We calculated probabilities of change in the state of occurrence of Amazon parrots. [•] We used bird surveys and historical data to estimate distribution changes. [•] We confirmed negative change for one restricted threatened species, A. barbadensis. [•] Two widespread, less concern species showed high probability of negative change. [•] Our approach detects changes for rare and patchily-distributed species. [ABSTRACT FROM AUTHOR]

We provide an overview of the use of species distribution modeling to address research questions related to parrot ecology and conservation at a global scale. We conducted a literature search and applied filters to select the 82 most relevant studies to discuss. The study of parrot species distribution has increased steadily in the past 30 years, with methods and computing development maturing and facilitating their application for a wide range of research and applied questions. Conservation topics was the most popular topic (37%), followed by ecology (34%) and invasion ecology (20%). The role of abiotic factors explaining parrot distribution is the most frequent ecological application. The high prevalence of studies supporting on-ground conservation problems is a remarkable example of reduction in the research–action gap. Prediction of invasion risk and assessment of invasion effect were more prevalent than examples evaluating the environmental or economic impact of these invasions. The integration of species distribution models with other tools in the decision-making process and other data (e.g., landscape metrics, genetic, behavior) could even further expand the range of applications and provide a more nuanced understanding of how parrot species are responding to their even more changing landscape and threats. [ABSTRACT FROM AUTHOR]

We aggregated data on butterfly-host plant associations from existing sources in order to address the following questions: (1) is there a general correlation between host diversity and butterfly species richness?, (2) has the evolution of host plant use followed consistent patterns across butterfly lineages?, (3) what is the common ancestral host plant for all butterfly lineages? The compilation included 44,148 records from 5,152 butterfly species (28.6% of worldwide species of Papilionoidea) and 1,193 genera (66.3%). The overwhelming majority of butterflies use angiosperms as host plants. Fabales is used by most species (1,007 spp.) from all seven butterfly families and most subfamilies, Poales is the second most frequently used order, but is mostly restricted to two species-rich subfamilies: Hesperiinae (56.5% of all Hesperiidae), and Satyrinae (42.6% of all Nymphalidae). We found a significant and strong correlation between host plant diversity and butterfly species richness. A global test for congruence (Parafit test) was sensitive to uncertainty in the butterfly cladogram, and suggests a mixed system with congruent associations between Papilionidae and magnoliids, Hesperiidae and monocots, and the remaining subfamilies with the eudicots (fabids and malvids), but also numerous random associations. The congruent associations are also recovered as the most probable ancestral states in each node using maximum likelihood methods. The shift from basal groups to eudicots appears to be more likely than the other way around, with the only exception being a Satyrine-clade within the Nymphalidae that feed on monocots. Our analysis contributes to the visualization of the complex pattern of interactions at superfamily level and provides a context to discuss the timing of changes in host plant utilization that might have promoted diversification in some butterfly lineages. [ABSTRACT FROM AUTHOR]

Aim To test a method for rapidly and reliably collecting species distribution and abundance data over large tropical areas [known as Neotropical Biodiversity Mapping Initiative ( Neo Maps)], explicitly seeking to improve cost- and time-efficiencies over existing methods (i.e. museum collections, literature), while strengthening local capacity for data collection. Location Venezuela. Methods We placed a grid over Venezuela (0.5 × 0.5 degree cells) and applied a stratified sampling design to select a minimum set of 25 cells spanning environmental and biogeographical variation. We implemented standardized field sampling protocols for birds, butterflies and dung beetles, along transects on environmental gradients ('gradsects'). We compared species richness estimates from our field surveys at national, bioregional and cell scales to those calculated from data compiled from museum collections and the literature. We estimated the variance in richness, composition, relative abundance and diversity between gradsects that could be explained by environmental and biogeographical variables. We also estimated total survey effort and cost. Results In one field season, we covered 8% of the country and recorded 66% of all known Venezuelan dung beetles, 52% of Pierid butterflies and 37% of birds. Environmental variables explained 27-60% of variation in richness for all groups and 13-43% of variation in abundance and diversity in dung beetles and birds. Bioregional and environmental variables explained 43-58% of the variation in the dissimilarity matrix between transects for all groups. Main conclusions Neo Maps provides reliable estimates of richness, composition and relative abundance, required for rigorous monitoring and spatial prediction. Neo Maps requires a substantial investment, but is highly efficient, achieving survey goals for each group with 1-month fieldwork and about US$ 1-8 per km2. Future work should focus on other advantages of this type of survey, including the ability to monitor the changes in relative abundance and turnover in species composition, and thus overall diversity patterns. [ABSTRACT FROM AUTHOR]

Worldwide, many large mammals are threatened by poaching. However, understanding the causes of poaching is difficult when both hunter and hunted are elusive. One alternative is to apply regression models to opportunistically-collected data but doing so without accounting for inherent biases may result in misleading conclusions. To demonstrate a straightforward method to account for such biases, and to guide further research on an elusive Vulnerable species, we visualized spatio-temporal poaching patterns in 844 Andean bear Tremarctos ornatus presence reports from the Cordillera de Mérida, Venezuela. To create maps of poaching risk we fitted two logistic regression models to a subset of 287 precisely georeferenced reports, one ignoring and one including spatial autocorrelation. Whereas the variance explained by both models was low, the second had better fit and predictive ability, and indicated that protected status had a significant positive effect on reducing poaching risk. Poaching risk increased at lower altitudes, where all indicators of human disturbance increased, although there was scant evidence that human-bear conflicts are a major direct trigger of poaching events. Because highest-risk areas were different from areas with most bear reports, we speculate that hunting may be driven by opportunistic encounters, rather than by purposeful searches in high-quality bear habitat. Further research comparing risk maps with bear abundance models and data on poaching behaviour will be invaluable for clarifying poaching causes and for identifying management strategies. [ABSTRACT FROM AUTHOR]

The order Psittaciformes is one of the most prevalent groups in the illegal wildlife trade. Efforts to understand this threat have focused on describing the elements of the trade itself: actors, extraction rates, and routes. However, the development of policy-oriented interventions also requires an understanding of how research aims and actions are distributed across the trade chain, regions, and species. We used an action-based approach to review documents published on illegal Psittaciformes trade at a global scale to analyze patterns in research aims and actions. Research increased exponentially in recent decades, recording 165 species from 46 genera, with an over representation of American and Australasian genera. Most of the research provided basic knowledge for the intermediary side of the trade chain. Aims such as the identification of network actors, zoonosis control, and aiding physical detection had numerous but scarcely cited documents (low growth rate), while behavior change had the highest growth rate. The Americas had the highest diversity of research aims, contributing with basic knowledge, implementation, and monitoring across the whole trade chain. Better understanding of the supply side dynamics in local markets, actor typology, and actor interactions are needed. Protecting areas, livelihood incentives, and legal substitutes are actions under-explored in parrots, while behavior change is emerging. [ABSTRACT FROM AUTHOR]

Protected and conserved areas (PCAs) are key ecosystem management tools for conserving biodiversity and sustaining ecosystem services and social cobenefits. As countries adopt a 30% target for protection of land and sea under the Global Biodiversity Framework of the United Nations Convention on Biological Diversity, a critical question emerging is, which 30%? A risk‐based answer to this question is that the 30% that returns the greatest reductions in risks of species extinction and ecosystem collapse should be protected. The International Union for Conservation of Nature (IUCN) Red List protocols provide practical methods for assessing these risks. All species, including humans, depend on the integrity of ecosystems for their well‐being and survival. Africa is strategically important for ecosystem management due to convergence of high ecosystem diversity, intense pressures, and high levels of human dependency on nature. We reviewed the outcomes (e.g., applications of ecosystem red‐list assessments to protected‐area design, conservation planning, and management) of a symposium at the inaugural African Protected Areas Congress convened to discuss roles of the IUCN Red List of Ecosystems in the design and management of PCAs. Recent progress was made in ecosystem assessment, with 920 ecosystem types assessed against the IUCN Red List criteria across 21 countries. Although these ecosystems spanned a diversity of environments across the continent, the greatest thematic gaps were for freshwater, marine, and subterranean realms, and large geographic gaps existed in North Africa and parts of West and East Africa. Assessment projects were implemented by a diverse community of government agencies, nongovernmental organizations, and researchers. The assessments have influenced policy and management by informing extensions to and management of formal protected area networks supporting decision‐making for sustainable development, and informing ecosystem conservation and threat abatement within boundaries of PCAs and in surrounding landscapes and seascapes. We recommend further integration of risk assessments in environmental policy and enhanced investment in ecosystem red‐list assessment to fill current gaps. [ABSTRACT FROM AUTHOR]

Canid species are highly adaptable, including to urban and peri‐urban areas, where they can come into close contact with people. Understanding the mechanisms of wild canid population persistence in these areas is key to managing any negative impacts. The resource dispersion hypothesis predicts that animal density increases and home range size decreases as resource concentration increases, and may help to explain how canids are distributed in environments with an urban‐natural gradient. In Australia, dingoes have adapted to human presence, sometimes living in close proximity to towns. Using a targeted camera trap survey and spatial capture‐recapture models, we estimated spatial variation in the population density and detection rates of dingoes on Worimi Country in the Great Lakes region of the NSW coast. We tested whether dingo home range and population densities varied across a gradient of human population density, in a mixed‐use landscape including, urban, peri‐urban, and National Park environs. We found human population density to be a strong driver of dingo density (ranging from 0.025 to 0.433 dingoes/km2 across the natural‐urban gradient), and to have a negative effect on dingo home range size. The spatial scale parameter changed depending on survey period, being smaller in the peak tourism period, when human population increases in the area, than in adjacent survey periods, potentially indicating reduced home range size when additional resources are available. Our study highlights the potential value of managing anthropogenic resource availability to manage carnivore densities and potential risk of human‐carnivore interactions. [ABSTRACT FROM AUTHOR]

Learned vocalizations play a key role in parrot social dynamics and vocal dialects have been documented for several mainland species, but to date no studies of geographically structured call variation in parrot species have examined the role of isolation on islands. In a study of the Brown-throated Parakeet (Eupsittula pertinax), which inhabits 5 small Caribbean islands as well as the adjacent mainland, we found that the contact calls of island and mainland parakeets show divergence in vocal characters as well as in call variability. We assessed call variation using 3 approaches: frequency measurements, spectrogram cross-correlation (SPCC) analyses, and call duration measurements. Island parakeets’ calls were longer and had lower mean frequencies, and calls from different islands were distinguishable from each other as well as from mainland calls using measures derived from the SPCCs. In addition, we measured call variability at 2 different levels—within-location and within-individual. We found calls to be more variable for island parakeets for SPCC and duration measures, but less variable for frequency measures. The observed call differentiation among locations may be due to drift, whereas the lower frequency of island calls could either be a response to the windy environment on the islands or a consequence of the island subspecies’ larger body sizes. We also hypothesize that the isolation of parakeet populations on small islands may have resulted in reduced selection for local call convergence, allowing island parakeets to produce more variable calls. We suggest that due to poor signal transmission in the windy island environment, selective pressures may favor variability in more easily perceived call features (like call duration) rather than more subtle features, like frequency shifts. Experimental tests are required to determine whether observed call patterns translate into similarly structured patterns in the responses to vocal variants. [ABSTRACT FROM AUTHOR]

To mitigate the social and ecological damage caused by mining in Venezuela, the international community should monitor Venezuela's mining activities (11) and, in the case of illegal activities, penalize those involved. Venezuela's harmful mining activities grow In 2016, Venezuela's government designated 112,000 km2 of tropical rainforest and Indigenous land as the Orinoco Mining Arc (OMA), a special economic zone for mining (1). [Extracted from the article]

The worldwide decline in carnivore populations has been attributed to various human impacts. However, our understanding of the mechanisms behind these declines is insufficient to predict the timing and location of local extinctions. We collected data on presence/absence and time since extirpation of jaguars across Venezuela. To test if human impacts or ecosystem productivity better explain the observed spatial variation in probability of jaguar occurrence we compared logistic regression models fit with different combinations of anthropogenic and environmental variables. Similarly, we modelled the time since extirpation, using a multiple regression approach. Our study supported the hypothesis that jaguar extirpations and distribution are determined by a joint effect of anthropogenic factors and environmental variables, mainly those related with ecosystem productivity. Human population density and habitat alterations exerted strong negative effects on jaguar populations, while annual precipitation, mean temperature, forest cover, primary productivity, and other vegetation indices had positive effects. The strength of human impact is shaped by ecosystem productivity: jaguars disappear faster in dry, unproductive areas, and survive better in humid, productive areas even when human densities are higher. We estimated that jaguars in Venezuela have been extirpated from approximately 26% of the territory of Venezuela; present jaguar range covers approximately 66% of the country. We demonstrate that human population density alone cannot adequately explain past extirpations nor predict future jaguar declines. We conclude that the predicted future growth of the human population will not necessarily determine jaguar declines, and proper management and conservation programs could potentially prevent jaguar extirpations. [ABSTRACT FROM AUTHOR]

The article reports on program implemented by Biological Diversity Unit of the Venezuelan Institute for Scientific Investigation (IVIC) for collecting funds required for conservation of biodiversity in the U.S. Topics include gathering techniques for conservation, establishment of inter-institutional courses for developing human resources and collaboration of Biological Diversity Units. Other topics include use of scientific knowledge in conservation policy and funding for scaling the program.