Feeding Preference and Habitat Association of Defassa Waterbuck (Kobus ellipsiprymnus defassa) in Nechisar National Park, Southern Ethiopia.

This study investigated feeding preference and habitat association of waterbucks in Nechisar National Park from November 2016 to August 2017 by total count and direct observation methods. From this survey, 20 plant species were observed to be the food items consumed by waterbucks. Waterbucks were mostly grazers than browser. The plant species consumed by waterbucks was highly significant between seasons (χ 2 = 121.34, df = 1, p < 0.05). Out of 20 total plant species consumed, annual grass (11.5%), Leersia virginica (8.4%), and Cynodon dactylon (8.4%) were the most frequently consumed food items, but Tamarindus indica (2.9%), Balanites aegyptica (3.3%), and Acacia polycantha (2.36%) were the least consumed food items. There was significant difference between plant species consumed during both seasons (χ 2 = 177.67, df = 19, p < 0.05). The Shannon-Wiener diversity index result revealed that there were different varieties of food items for waterbucks in dry season (H' = 2.9) than in wet season (H' = 2.6). Young leaves comprised the largest proportion of plant parts consumed by waterbucks compared to others. There was a highly significant difference in feeding plant parts in both seasons (χ 2 = 88.5, df = 7, p < 0.05). Waterbucks spent more time on feeding in the morning and late afternoon during both seasons. The total number of waterbucks in each habitat varied due to food availability in different seasons. Different conservation measures should be taken against waterbuck reduction and create appropriate environment for waterbuck.

Maximizing regional biodiversity requires a mosaic of protection levels.

Protected areas are the flagship management tools to secure biodiversity from anthropogenic impacts. However, the extent to which adjacent areas with distinct protection levels host different species numbers and compositions remains uncertain. Here, using reef fishes, European alpine plants, and North American birds, we show that the composition of species in adjacent Strictly Protected, Restricted, and Non-Protected areas is highly dissimilar, whereas the number of species is similar, after controlling for environmental conditions, sample size, and rarity. We find that between 12% and 15% of species are only recorded in Non-Protected areas, suggesting that a non-negligible part of regional biodiversity occurs where human activities are less regulated. For imperiled species, the proportion only recorded in Strictly Protected areas reaches 58% for fishes, 11% for birds, and 7% for plants, highlighting the fundamental and unique role of protected areas and their environmental conditions in biodiversity conservation.

Seasonal influence of snow conditions on Dall's sheep productivity in Wrangell-St Elias National Park and Preserve.

Dall's sheep (Ovis dalli dalli) are endemic to alpine areas of sub-Arctic and Arctic northwest America and are an ungulate species of high economic and cultural importance. Populations have historically experienced large fluctuations in size, and studies have linked population declines to decreased productivity as a consequence of late-spring snow cover. However, it is not known how the seasonality of snow accumulation and characteristics such as depth and density may affect Dall's sheep productivity. We examined relationships between snow and climate conditions and summer lamb production in Wrangell-St Elias National Park and Preserve, Alaska over a 37-year study period. To produce covariates pertaining to the quality of the snowpack, a spatially-explicit snow evolution model was forced with meteorological data from a gridded climate re-analysis from 1980 to 2017 and calibrated with ground-based snow surveys and validated by snow depth data from remote cameras. The best calibrated model produced an RMSE of 0.08 m (bias 0.06 m) for snow depth compared to the remote camera data. Observed lamb-to-ewe ratios from 19 summers of survey data were regressed against seasonally aggregated modelled snow and climate properties from the preceding snow season. We found that a multiple regression model of fall snow depth and fall air temperature explained 41% of the variance in lamb-to-ewe ratios (R2 = .41, F(2,38) = 14.89, p<0.001), with decreased lamb production following deep snow conditions and colder fall temperatures. Our results suggest the early establishment and persistence of challenging snow conditions is more important than snow conditions immediately prior to and during lambing. These findings may help wildlife managers to better anticipate Dall's sheep recruitment dynamics.

Impact of dynamic greenspace exposure on symptomatology in individuals with schizophrenia.

There are currently many tools available for capturing and defining the context of one's environment. Digital phenotyping, the use of technology and sensors to capture moment-to-moment behavior, has shown potential in quantifying the lived experience of mental illness and in the identification of individualized targets related to recovery. Environmental data suggests that greenspace may have a restorative capacity on mental health. In this paper, we explore the relationship of greenspace derived from geolocation with self-reported symptomatology from individuals with schizophrenia as well as healthy controls. Individuals with schizophrenia had less exposure to greenspace than controls, but their exposure demonstrated a dosage effect: high greenspace environments were associated with lower symptoms for anxiety (Cohen's d = -0.70), depression (d = -0.97), and psychosis (d = -0.94), whereas effect sizes for healthy controls were all negligible or small (d < 0.38). The notion that greenspace may have a more pronounced effect on individuals with mental illness presents both potential areas for recovery as well as implications for health care policy, especially in cities with a broad range of greenspace environments.

Population dynamics of threatened felids in response to forest cover change in Sumatra.

Habitat loss caused by deforestation is a global driver of predator population declines. However, few studies have focussed on these effects for mesopredator populations, particularly the cryptic and elusive species inhabiting tropical rainforests. We conducted camera trapping from 2009-11 and 2014-16, and used occupancy modelling to understand trends of Sumatran mesopredator occupancy in response to forest loss and in the absence of threats from poaching. By comparing the two survey periods we quantify the trend of occupancy for three sympatric felid species in the tropical rainforest landscape of Kerinci Seblat National Park. Between 2000 and 2014, forest loss across four study sites ranged from 2.6% to 8.4%. Of three threatened felid species, overall occupancy by Sunda clouded leopard (Neofelis diardi) and Asiatic golden cat (Catopuma temminckii) remained stable across all four areas between the two survey periods, whilst marbled cat (Pardofelis marmorata) occupancy increased. In general occupancy estimates for the three species were: lower in lowland forest and increased to attain their highest values in hill forest, where they declined thereafter; increased further from the forest edge; positively correlated with distance to river, except for golden cat in the second survey where the relationship was negative; and, increased further from active deforestation, especially for clouded leopard in the second survey, but this was some 10-15km away. Our study offers fresh insights into these little known mesopredators in Sumatra and raises the practically important question of how far-reaching is the shadow of the encroachment and road development that typified this deforestation.

Upward expansion of distribution ranges of tree species: Contrasting results from two national parks in Western Carpathians.

We analysed the distribution of trees along the elevation gradient in two national parks located in the Western Carpathians (49°30'-49°37' N; 19°28'-20°15' E), dominated by natural forest stands to answer two questions: do immature trees occur at higher elevations compared to mature ones? Has the upper limit of the distribution of the seedlings increased during the period under study, and were the changes proportional to the increase in the mean annual temperature in that period? Data used in our study had been collected in permanent sample plots, distributed regularly over the entire forest area in two national parks. The measurements were taken twice, separated by at least 12 years. We analysed the upper distribution range of the most abundant tree species following tree ontogenic stages for two measurement times. The analysed tree species showed contrasting patterns of the distributions of saplings related to the distributions of mature individuals. In one of the national parks, two species (Silver fir and European beech) showed a significant upward expansion. As three measurements were taken in this park, we found that the expansion has increased over time. In the second national park, located only 45 km to the west from the first one, we found no upward expansion in the distribution of both European beech and Silver fir, while Sycamore maple showed a slight downward trend. We conclude that the dynamics of the tree distributions along the elevation gradient in the mountain areas do not follow a uniform path; the indirect effects of changes in environmental conditions may produce different patterns, reflecting the complex nature of the interactions shaping the distributions of the trees.

The provision of urban green space and its accessibility: Spatial data effects in Brussels.

Urban green space (UGS) has many environmental and social benefits. UGS provision and access are increasingly considered in urban policies and must rely on data and indicators that can capture variations in the distribution of UGS within cities. There is no consensus about how UGS, and their provision and access, must be defined from different land use data types. Here we identify four spatial dimensions of UGS and critically examine how different data sources affect these dimensions and our understanding of their variation within a city region (Brussels). We compare UGS indicators measured from an imagery source (NDVI from Landsat), an official cadastre-based map, and the voluntary geographical information provided by OpenStreetMap (OSM). We compare aggregate values of provision and access to UGS as well as their spatial distribution along a centrality gradient and at neighbourhood scale. We find that there are strong differences in the value of indicators when using the different datasets, especially due to their ability to capture private and public green space. However we find that the interpretation of intra-urban spatial variations is not affected by changes in data source. Centrality in particular is a strong determinant of the relative values of UGS availability, fragmentation and accessibility, irrespective of datasets.

Upgrading protected areas to conserve wild biodiversity.

International agreements mandate the expansion of Earth's protected-area network as a bulwark against the continued extinction of wild populations, species, and ecosystems. Yet many protected areas are underfunded, poorly managed, and ecologically damaged; the conundrum is how to increase their coverage and effectiveness simultaneously. Innovative restoration and rewilding programmes in Costa Rica's Área de Conservación Guanacaste and Mozambique's Parque Nacional da Gorongosa highlight how degraded ecosystems can be rehabilitated, expanded, and woven into the cultural fabric of human societies. Worldwide, enormous potential for biodiversity conservation can be realized by upgrading existing nature reserves while harmonizing them with the needs and aspirations of their constituencies.

A case for inclusive design: Analyzing the needs of those who frequent Taiwan's urban parks.

Taiwan's declining birthrate has resulted in an aging population, and the needs addressed by public facilities are changing along with the shifting population structure. Visitors to urban parks filled out 869 questionnaires on the topic of inclusive design. Structural equation modeling revealed that park patrons could be categorized as those with special needs, and the general public. The biggest difference between these two groups manifests in their disparate needs concerning outdoor primary service facilities, followed by facilities related to accessibility, automation and the functions performed in open areas. Difficulty with autonomous access was identified as the leading cause of exclusion. Based on the autonomous access principle, three inclusive needs levels were identified: safety (high priority), accessibility (moderately-high), and regular maintenance (average). Inclusive design in public parks aims to equalize usage by all sectors of society.

Perceptions of risk in communities near parks in an African biodiversity hotspot.

Understanding conservation and livelihood threats in park landscapes is important to informing conservation policy. To identify threats, we examined perceived risks of residents living near three national parks in Uganda. We used cross-sectional household data to document, rank, and measure severity of perceived risks. Three risk categories, grouped into protected area, climate, and health, were cited by 80 % of respondents and received the highest severity scores. Elevation, proximity to the park, local forest loss, recent population change, and measures of poverty were the most important variables in predicting whether or not an individual identified these risks as the most or second most severe risk. Health issues were cited throughout the landscape, while problems attributed to climate (mainly insufficient rainfall) were reported to be most severe farther from the park. Increased population density was associated with increased perceived risk of health challenges, but decreased perceived risks attributed to the park and climate. Participatory risk mapping provides the opportunity to make standardized comparisons across sites, to help identify commonalities and differences, as a first step to examining the degree to which conservation management might address some of these local challenges and where mitigation techniques might be transferable between different sites or conflict scenarios.

Nutrition Policy Decreases Sugar-Sweetened Beverages in Municipal Parks: Lessons Learned From Carson, California.

In light of the childhood obesity epidemic, many cities are adopting healthy park vending policies, but the evidence on the effectiveness of these policies is scant. This study examines how implementation of a healthy vending policy in Carson, California, changes the types of beverages that are available in park vending machines. The study design is a pre-posttest with post-only comparison group. The main outcome is proportion of beverages in vending machines that is consistent with caloric and sugar content guidelines for children as defined by the Nutrition Environment Measures-Vending (NEMS-V) tool. This study finds that prior to implementation of the vending policy, 70% of the beverages did not meet NEMS-V guidelines, on average. After implementation of the vending policy, this number declined to 7%. This study suggests that healthy vending policies can have an impact on the types of beverages that are available in city parks.