Km2 Grid Research Articles

Characterizing the Spatiotemporal Distribution of Three Native Stink Bugs (Hemiptera: Pentatomidae) across an Agricultural Landscape.

Simple SummaryStink bugs (Hemiptera: Pentatomidae) are highly mobile pests that forage on, and damage, a variety of crops. Habitats that surround farms, such as forests, wetlands, and pastures may play a role in the location of stink bugs and their movement into crop fields. Here, stink bugs were trapped weekly across an 18 km2 agricultural landscape, and we characterized their distribution, as well as patterns of aggregation by habitat. Brown stink bugs (Euschistus servus) were most often captured in crop fields and the timing of aggregations often corresponded to food availability. Dusky stink bugs (Euschistus tristigmus) were primarily captured in forest, and only occasionally in crop fields. Green stink bugs (Chinavia hilaris) were found in both crop fields and non-crop habitat. Control of stink bugs may require management plans that consider movement not only within crop fields, but also the surrounding habitat.Stink bugs (Hemiptera: Pentatomidae) are polyphagous pests that cause significant economic losses to a variety of crops. Although many species have been documented to aggregate within agricultural fields, much less is known regarding the timing and distribution of adults and nymphs within and between surrounding non-crop habitat. Therefore, we explored the spatiotemporal distribution of Euschistus servus (Say), Euschistus tristigmus (Say), and Chinavia hilaris (Say), three species of North American origin, and examined whether distribution patterns varied between species according to habitat. Stink bugs were monitored weekly for three years within an 18 km2 grid of pheromone-baited traps. We tested whether habitat affected distribution patterns, used spatial analysis by distance indices (SADIE) to identify aggregations, and visualized distributions with interpolated maps. Overall, E. servus adults were captured in crops, whereas E. tristigmus adults and nymphs were mainly captured in forests. Accordingly, distribution patterns of E. tristigmus were relatively stable over time, whereas aggregations of adult E. servus varied over space, and the timing of aggregations reflected the phenology of major crops. Chinavia hilaris was most often captured in forest, followed by crop habitat. Pest management strategies for stink bugs may require an area-based management approach that accounts for movement in agricultural fields and surrounding habitat.

How Much Can Small-Scale Wind Energy Production Contribute to Energy Supply in Cities? A Case Study of Berlin

In light of the global effort to limit the temperature rise, many cities have undertaken initiatives to become climate-neutral, making decentralized urban energy production more relevant. This paper addresses the potential of urban wind energy production with small wind turbines, using Berlin as an example. A complete framework from data selection to economic feasibility is constructed to enable the empirical assessment of wind energy for individual buildings and Berlin as a whole. Based on a detailed dataset of all buildings and hourly wind speed on a 1 km2 grid, the results show that multiple turbines on suitable buildings can significantly contribute to households’ energy consumption but fall short of covering the full demand. For individual households, our economic evaluation strongly recommends the self-consumption of the produced electricity. The findings suggest that while the use of small wind turbines should be continuously encouraged, exploring other renewable resources or combination of wind and photovoltaic energy in the urban environment remains important.

Spatial and social disparities in the decline of activities during the COVID-19 lockdown in Greater London.

We use data on human mobility obtained from mobile applications to explore the activity patterns in the neighbourhoods of Greater London as they emerged from the first wave of COVID-19 lockdown restrictions during summer 2020 and analyse how the lockdown guidelines have exposed the socio-spatial fragmentation between urban communities. The location data are spatially aggregated to 1 km2 grids and cross-checked against publicly available mobility metrics (e.g. Google COVID-19 Community Report, Apple Mobility Trends Report). They are then linked to geodemographic classifications to compare the average decline of activities in the areas with different sociodemographic characteristics. We found that the activities in the deprived areas dominated by minority groups declined less compared to the Greater London average, leaving those communities more exposed to the virus. Meanwhile, the activity levels declined more in affluent areas dominated by white-collar jobs. Furthermore, due to the closure of non-essential stores, activities declined more in premium shopping destinations and less in suburban high streets.

Quantitative estimates of glacial refugia for chimpanzees (Pan troglodytes) since the Last Interglacial (120,000 BP)

Paleoclimate reconstructions have enhanced our understanding of how past climates have shaped present-day biodiversity. We hypothesize that the geographic extent of Pleistocene forest refugia and suitable habitat fluctuated significantly in time during the late Quaternary for chimpanzees (Pan troglodytes). Using bioclimatic variables representing monthly temperature and precipitation estimates, past human population density data, and an extensive database of georeferenced presence points, we built a model of changing habitat suitability for chimpanzees at fine spatio-temporal scales dating back to the Last Interglacial (120,000 BP). Our models cover a spatial resolution of 0.0467° (approximately 5.19 km2 grid cells) and a temporal resolution of between 1000 and 4000 years. Using our model, we mapped habitat stability over time using three approaches, comparing our modeled stability estimates to existing knowledge of Afrotropical refugia, as well as contemporary patterns of major keystone tropical food resources used by chimpanzees, figs (Moraceae), and palms (Arecacae). Results show habitat stability congruent with known glacial refugia across Africa, suggesting their extents may have been underestimated for chimpanzees, with potentially up to approximately 60,000 km2 of previously unrecognized glacial refugia. The refugia we highlight coincide with higher species richness for figs and palms. Our results provide spatio-temporally explicit insights into the role of refugia across the chimpanzee range, forming the empirical foundation for developing and testing hypotheses about behavioral, ecological, and genetic diversity with additional data. This methodology can be applied to other species and geographic areas when sufficient data are available.

On the occurrence of the Himalayan Wolf Canis lupus, L. 1758 (Mammalia: Carnivora: Canidae) in the Gaurishankar Conservation Area, Nepal; its existence confirmed through sign and visual evidence in Rolwaling Valley

The Himalayan Wolf Canis lupus L., a top predator of the Third Pole, is proposed to be of a distinct wolf lineage (C. himalayensis) relative to the Holarctic Grey Wolf as described by mtDNA analyses. A biodiversity survey organized by the Gaurishankar Conservation Area Project (GCAP) has captured images of wolves in three different regions, and the study team has observed wolf scats in five additional regions above the tree line in Rolwaling Valley. Further, interviews with local herders provided evidence of wolf depredation of livestock in the area. The Rolwaling Valley in the Gaurishankar Conservation Area was the study area which was divided into 12, 4 x 4 km (16 km2) grid cells, each supplied with one camera trap operated continuously from June to November 2019 (only 6 out of 12 cameras functioned for the duration of our study). Wolf detections were recorded by camera traps from Yalung Pass (4,956 m), Tsho-Rolpa glacial Lake (4,536 m) and the Dudhkunda ridgeline (5,091 m). The photo capture rate index (PCRI) for wolves was 0.71. Our study reports the first photographic evidence of the Himalayan Wolf in the Rolwaling Valley.

Orchids of Mongolia: Taxonomy, Species Richness and Conservation Status

Orchidaceae is a diverse, globally important plant family with high conservation assessment and prioritization requirements. The checklist of Orchidaceae in Mongolia was updated based on herbarium materials, literature, and field observations. Mongolian orchids were revised as comprising 26 taxa belonging to 14 genera with major updates were conducted on Herminium and Epipactis. In particular, H. alaschanicum, previously noted in the Alashan Gobi region, was added to the flora of Mongolia based on literature and type specimens. Epipactis helleborine and E. palustris were excluded from the Mongolian flora owing to the absence of herbarium specimens and wild collection from Mongolia. Assessment of all orchid species at the national level resulted in 1, 4, 7, 11, and 2 species as critically endangered (CR), endangered (EN), vulnerable (VU), near threatened (NT), and data deficient (DD), respectively, according to IUCN criteria. Species richness and conservation gap analyses of 970 georeferenced orchid records based on 0.5° × 0.5° grid cells across 16 phytogeographical regions of Mongolia, showed that four phytogeographical regions, Khangai, Khuvgul, Khentii and Mongolian Dauria, have a high number of orchids. Regrettably, most orchid-rich locations in Mongolia are not fully within protected areas, highlighting the need for protection management updates. Based on herbarium collections, we prepared grid distribution maps of the 26 taxa using 40 × 40 km2 grids. Photographs of 18 taxa taken during fieldwork were included, providing valuable information on species morphology and typical habitat.

Climatology of Convective Storms in Estonia from Radar Data and Severe Convective Environments

Data from the C-band weather radar located in central Estonia in conjunction with the latest reanalysis of the European Centre for Medium-Range Weather Forecasts (ECMWF), ERA5, and Nordic Lightning Information System (NORDLIS) lightning location system data are used to investigate the climatology of convective storms for nine summer periods (2010–2019, 2017 excluded). First, an automated 35-dBZ reflectivity threshold-based storm area detection algorithm is used to derive initial individual convective cells from the base level radar reflectivity. Those detected cells are used as a basis combined with convective available potential energy (CAPE) values from ERA5 reanalysis to find thresholds for a severe convective storm in Estonia. A severe convective storm is defined as an area with radar reflectivity at least 51 dBZ and CAPE at least 80 J/kg. Verification of those severe convective storm areas with lightning data reveals a good correlation on various temporal scales from hourly to yearly distributions. The probability of a severe convective storm day in the study area during the summer period is 45%, and the probability of a thunderstorm day is 54%. Jenkinson Collison’ circulation types are calculated from ERA5 reanalysis to find the probability of a severe convective storm depending on the circulation direction and the representativeness of the investigated period by comparing it against 1979–2019. The prevailing airflow direction is from SW and W, whereas the probability of the convective storm to be severe is in the case of SE and S airflow. Finally, the spatial distribution of the severe convective storms shows that the yearly mean number of severe convective days for the 100 km2 grid cell is mostly between 3 and 8 in the distance up to 150 km from radar. Severe convective storms are most frequent in W and SW parts of continental Estonia.

Sustainable urban development indicators in Great Britain from 2001 to 2016

Current planning strategies promoting suburbanisation, land use zoning and low built-up density areas tend to increase the environmental footprint of cities. In the last decades, international and local government plans are increasingly targeted at making urban areas more sustainable. Urban structure has been proved to be an important factor guiding urban smart growth policies that promote sustainable urban environments and improve neighbourhood social cohesion. This paper draws on a series of unique historical datasets obtained from Ordnance Survey, covering the largest British urban areas over the last 15 years (2001–2016) to develop a set of twelve indicators and a composite Sustainable Urban Development Index to quantitatively measure and assess key built environment features and their relative change compared to other areas at each point in time based on regular 1 km2 grids. The results show that there is a relative increase in urban structure sustainability of areas in and around city centres and identify that the primary built environment feature driving these improvements was an increase in walkable spaces.

Drivers of Spatial Distributions of Basking Shark (Cetorhinus maximus) in the Southwest Pacific

Basking sharks (Cetorhinus maximus) were widely reported throughout New Zealand waters. Once commonly observed, and sometimes in large numbers, basking sharks are now infrequently reported. Basking shark observations are known to be highly variable across years, and their distribution and occurrence have been shown to be influenced by environmental predictors such as thermal fronts, chl-a concentration, and the abundance of prey (zooplankton). Little is known of basking sharks in the South Pacific and more information on distribution, habitat use, and migratory patterns is required to better understand the species’ regional ecology. Here, we used bootstrapped Habitat Suitability Models [HSM, ensembled from Boosted Regression Tree (BRT) and Random Forest (RF) models] to determine the drivers of basking shark distribution, predict habitat suitability and estimated uncertainty in the South Pacific for the first time. High−resolution environmental (1 km2 grid resolution) and biotic data, including inferred prey species, and all available basking shark records across New Zealand’s Exclusive Economic Zone (EEZ) were included in the ensemble HSMs. The most influential driver of modeled basking shark distribution was vertical flux of particulate organic matter at the seabed, which may indicate higher levels of primary production in the surface ocean and higher prey density in the mesopelagic zone and at the seafloor. The BRT and RF models had good predictive power (AUC and TSS > 0.7) and both models performed similarly with low variability in the model fit metrics. Areas of high basking shark habitat suitability included the east and west coasts of the South Island, Puysegur Ridge, and Auckland Island slope. The outputs produced here could be incorporated into future management framework for assessing threat and conservation needs (e.g., spatially explicit risk assessment) for this regionally protected species, as well as providing guidance for future research efforts (e.g., areas of interest for sampling).

Does the crested porcupine select coppice forest? Habitat preference and activity patterns of a large rodent in the Lago di Vico Natural Reserve

Abstract The crested porcupine Hystrix cristata L. is a large rodent, which mainly occurs in agro-forestry ecosystems in Italy. In this study, we modelled the occupancy of this species in forest ecosystems, to identify environmental characteristics affecting its presence. The study was conducted at Lago di Vico Natural Reserve (Latium, Central Italy) in 2018–2019. The sampling design included a 1 km2 grid, where 263 detections were recorded at 39 out of 57 camera-trap points. Dendroauxometric data were collected at each site as covariates in the statistical models. According to our best occupancy model, the crested porcupine mostly occurs in habitats not totally covered by forests, but composed by mixed landscape patches both for the land use (crops, woods) and for the coverage (forested areas, open areas, bushes). We also analysed activity rhythms of the crested porcupine across seasons and in relation to the moon phases. The analysis of 543 videos showed that crested porcupine is strictly nocturnal throughout the year and avoided bright nights, despite the local absence of potential predators.

An Analytical Method for Dynamic Wave-Related Errors of Interferometric SAR Ocean Altimetry under Multiple Sea States

The spaceborne interferometric synthetic aperture radar (InSAR) is expected to measure the sea surface height (SSH) with high accuracy over a wide swath. Since centimeter-level accuracy is required to monitor the ocean sub-mesoscale dynamics, the high accuracy implies that the altimetric errors should be totally understood and strictly controlled. However, for the dynamic waves, they move randomly all the time, and this will lead to significant altimetric errors. This study proposes an analytical method for the dynamic wave-related errors of InSAR SSH measurement based on the wave spectrum and electromagnetic scattering model. Additionally, the mechanisms of the dynamic wave-related errors of InSAR altimetry are analyzed, and the detailed numerical model is derived. The proposed analytical method is validated with NASA’s Surface Water and Ocean Topography (SWOT) project error budget, and the Root-Mean-Square Errors (RMSEs) are in good agreement (0.2486 and 0.2470 cm on a 0.5 km2 grid, respectively). Instead of analysis for a typical project, the proposed method can be applied to different radar parameters under multiple sea states. The RMSEs of Ka-band under low sea state, moderate sea state, and high sea state are 0.2670, 1.3154, and 6.6361 cm, respectively. Moreover, the RMSEs of X-band and Ku-band are also simulated and presented. The experimental results demonstrate that the dynamic wave-related errors of InSAR altimetry are not sensitive to the frequencies but are sensitive to the sea states. The error compensation method is necessary for moderate and higher sea states for centimetric accuracy requirements. This can provide feasible suggestions on system design and error budget for the future interferometric wide-swath altimeter.

Spatial patterns of genus‐level phylogenetic endemism in the tree flora of Mediterranean Europe

AbstractAimThe Mediterranean Basin is a major hotspot of plant biodiversity, including forest trees. Over the past centuries, Mediterranean forests have been fragmented and over‐exploited, to which the threats of climate change are now added. Our aim is to better understand patterns and processes of tree biodiversity in the Mediterranean and to provide indicators complementing the traditional approaches to biodiversity conservation based on species counts and occurrences, using georeferenced phylogenetic diversity and endemism analyses in a spatial ecological context.LocationMediterranean Europe.MethodsUsing a dated phylogeny of the 64 Euro‐Mediterranean tree genera, we calculated phylogenetic diversity for all 50 × 50 km2 grid cells spanning Mediterranean Europe (n = 643) and compared values with those obtained for genus‐level taxonomic diversity. Then, we tested the relative influence of geography, past and present climate, and soil on tree diversity (phylogenetic or taxonomic) and its geographical turnover. Geographical patterns of phylogenetic endemism were inferred using the Categorical Analyses of Neo‐ and Paleo‐Endemism (CANAPE) methodology.ResultsWe showed that phylogenetic and taxonomic diversity within and among cells are correlated and influenced by soil parameters as well as current, Holocene and Late Glacial Maximum climate. Southern Spain, Cyprus and some Aegean islands contained areas of disproportionately high phylogenetic diversity and a concentration of phylogenetic paleo‐endemics, while phylogenetic neo‐endemism was high in eastern Sicily. Mixed phylogenetic endemism regions were detected in southern Spain and Portugal, in the Balkans and in Crete.Main conclusionsOur phylogenetic approach provides relevant indicators for better protecting forests of the Mediterranean, encompassing past and present evolutionary processes and factors. We consider areas that show a concentration of evolutionary history manifested by high phylogenetic endemism as high priority targets for the conservation of the European tree flora.

Less intensive nitrate leaching from Phaeozems cultivated with maize generally occurs in northeastern China

Nitrate (NO3−) leaching from agricultural soils poses a potential risk for water contamination and a reduction in nutrient use efficiency. However, NO3− leaching intensity and its driving forces of cultivated Phaeozems, well-known for its high soil organic content and productivity, is still unclear, especially in regions with cool climates. In this study, a process-oriented biogeochemical model named CNMM-DNDC was validated with observed variables including soil moisture, NO3− concentrations and crop yields, which are closely related to NO3− leaching. Next, this validated model was used to quantify the NO3− leaching intensity of Phaeozems cultivated with maize in northeastern China in 1990 − 2015. The regional simulations showed that NO3− leaching intensities of maize fields (0 − 5 kg N ha−1 yr−1 for most 10 × 10 km2 grids) were lower than those in other Phaeozem regions with warmer climates (29 − 49 kg N ha−1 yr−1). In addition, the results of temperature scenarios also imply that global warming could potentially increase the risk of NO3− leaching from cultivated Phaeozems in this study region with cool climates, due to the high temperature sensitivity. Reducing nitrogen doses would be an effective strategy to alleviate the risk of water contamination by reducing the regional leaching amount by 15 % with 5% less applied nitrogen. The scenario simulation indicates that the incorporation of full straw would lead to less NO3− leaching in the near term, but more intensive leaching in the long term. A significant nonlinear relationship was found between the simulated NO3− leaching intensity and the product of average annual nitrogen dose, average annual precipitation and exponential of average annual air temperature at the county scale. This relationship may provide a simple approach for identifying the potential vulnerable zones prone to nitrogen loss by NO3− leaching. As this study suggests, the process-oriented CNMM-DNDC model shows the capacity to quantify long term NO3− leaching at the regional scale, which is potentially a robust tool for developing the best management strategies to mitigate/prevent water nitrogen contamination in the Phaeozem regions.

Changing seasonal, temporal and spatial crop-raiding trends over 15 years in a human-elephant conflict hotspot

Human-wildlife conflict is increasing due to rapid natural vegetation loss and fragmentation. We investigated seasonal, temporal and spatial trends of elephant crop-raiding in the Trans Mara, Kenya during 2014–2015 and compared our results with a previous study from 1999 to 2000. Our results show extensive changes in crop-raiding patterns. There was a 49% increase in incidents between 1999 -2000 and 2014–2015 but an 83% decline in the amount of damage per farm. Crop-raiding went from highly seasonal during 1999–2000 to year-round during 2014–2015, with crops being damaged at all growth stages. Additionally, we identified a new elephant group type involved in crop-raiding, comprising of mixed groups. Spatial patterns of crop-raiding also changed, with more incidents during 2014–2015 neighbouring the protected area, especially by bull groups. Crop-raiding intensity during 2014–15 increased with farmland area until a threshold of 0.4 km2 within a 1 km2 grid square, and farms within 1 km from the forest boundary, <5 km from the protected area boundary and >2 km from village centres were most at risk of crop-raiding. In the last 20 years the Mara Ecosystem has been impacted by climate change, agricultural expansion and increased cattle grazing within protected areas. Elephants seem to have responded by crop-raiding closer to refuges, more frequently and throughout the year but cause less damage overall. While this means the direct economic impact has dropped, more farmers must spend more time protecting their fields, further reducing support for conservation in communities who currently receive few benefits from living with wildlife.

Myxomycete diversity on Cryptomeria japonica bark varies with land-use type along montane rivers

Myxomycetes occur globally, but little is known about the mechanism by which myxomycete diversity and community structure respond to environmental gradients and human activity at local scales. The present study assessed the distribution of corticolous myxomycetes living on the bark of &lt;em&gt;Cryptomeria japonica&lt;/em&gt; trees along three rivers originating in the Chugoku Mountains in western Japan. Bark samples were collected from 14 sites along each river, which encompass the river sources as well as the upper, middle, and lower reaches. The environmental characteristics of each site were assessed for three variable types: geography, climate, and land-use. A 1 km2 grid was superimposed onto each survey site, consisting of 100 cells of 1 ha each, and each cell was classified using aerial imagery into a broad land-use type. Of these, three land-use types (forest, farmland, and residential) were regularly used as a comprehensive indicator of landscape. The bark samples were cultured using the moist chamber technique, and the resulting myxomycete fruiting bodies were identified. Sporophores formed on 96% of the 1,490 moist chamber cultures and were classified into 27 taxa (26 species and one variety). Species diversity was highest in natural forests near river sources and decreased with proximity to downstream estuaries. Community similarities between survey sites were analysed using non-metric multidimensional scaling (NMDS). The first NMDS axis was negatively correlated with distance from estuary and forest coverage. Indicator species were identified for environmental changes along river basins. The relative abundances of &lt;em&gt;Macbrideola argentea&lt;/em&gt;, &lt;em&gt;Hemitrichia velutina&lt;/em&gt;, and &lt;em&gt;Physarum nutans&lt;/em&gt; var. &lt;em&gt;rubrum&lt;/em&gt; were positively correlated with forest coverage. In contrast, the relative abundances of &lt;em&gt;Clastoderma debaryanum&lt;/em&gt;, &lt;em&gt;Diderma chondrioderma&lt;/em&gt;, and &lt;em&gt;Echinostelium minutum&lt;/em&gt; were positively correlated with residential area coverage. The distribution of corticolous myxomycetes on C. japonica trees was associated with local landscape changes along the river environments. This is the first report on myxomycetes assemblages along river basins (acting as ecological corridors) and indicates that forest degradation and land-use types strongly affect myxomycete diversity on the bark of living &lt;em&gt;C. japonica&lt;/em&gt; trees.

The study of soil infiltration in west part of Semarang City, Indonesia

This research examined the types and characteristics of soil, including the porosity, the water content, the void ratio, and the degree of saturation to the value of the infiltration rate in the soil located in the western part of Semarang City, Indonesia. The infiltration rate test was carried out at 49 measurement points, based on a 2×2 km2 grid division in the research area. The infiltration rate measurement in the field was carried out using a turf-tech infiltrometer. The data from the infiltration rate measurement results in the field were calculated using the infiltration rate estimation model from Kostiakov, which was further classified by the Konhke classification. The results of the infiltration rate measurement showed that the research area had infiltration rate values that varied, from very slow to very fast, with the values ranged from 0 mm/hour to 1601.33 mm/hour. The analysis results showed that the type of soil, the water content, the degree of saturation, and the porosity related to the infiltration rate in the research area. The soil type parameter had the smallest relationship to the infiltration rate with the R2 value of 0.2923. The soil porosity had the largest relationship to the infiltration rate in the research area, with an R2 value of 0.4854.

Population, distribution, and habitat of Bornean Elephant in Tulin Onsoi, Nunukan District, Indonesia based on dung counts

Abstract. Sukmantoro W, Suyitno A, Mulyadi, Gunaryadi D, Seno A, Kusuma AI, Darwis. 2021. Population, distribution, and habitat of Bornean Elephant in Tulin Onsoi, Nunukan District, Indonesia based on dung counts. Biodiversitas 22: 311-319. The survey on population, distribution, and habitat of Bornean elephants is very important because it reduces the information gap about Bornean elephants’ population and distribution. In more detail, the study can be used for updating information and the needs of local government in a spatial plan based on biodiversity conservation. The survey of Bornean Elephant was conducted in Tulin Onsoi Subdistrict, Nunukan District, North Kalimantan Province, Indonesia, starting in February 2018 to May 2019. The survey area’s scopes are Agison, Sibuda, Apaan, and Tampilon sub-water catchment areas in 34 (5 x 5 km2) grids with a total of 850 km2. The occupancy method with perpendicular line transect was used in this study. In the survey, the number of traces was 52 finding points with a total of 241 traces. The elephant dung identified in the dung piles (one-time defecation) was in 29 finding points with a total of 38 dung piles (0.22 dung piles per km). Based on Distance 6.0 and involved the formula of the elephant population’s density with standard defecation and dung decay ratio, the elephant population density in the Tulin Onsoi is between 4.8-5.7 individuals/100 km2. Minimum convex polygon (MCP)-qHull showed that the area of ​​the elephant habitat is 253.12 km2 in Tulin Onsoi sub-district. Generally, the habitat conditions for the location are old secondary forests (37 %). Meanwhile, other habitats included in the survey area are primary forest, shrubs, and plantations, including community agriculture and roads. In the strategy of managing the Bornean elephant, efforts to stabilize or increase population are important things to do. Conservation-based spatial planning and close monitoring for the protection of small populations of this species and its threats, are options that can be selected for present and future in North Kalimantan.

Wildlife trail or systematic? Camera trap placement has little effect on estimates of mammal diversity in a tropical forest in Gabon

AbstractCamera traps (CTs) have been increasingly used for wildlife monitoring worldwide. In the tropics, most CT inventories target wildlife‐friendly sites, and CTs are commonly placed towards wildlife trails. However, it has been argued that this placement strategy potentially provides biased results in comparison to more systematic or randomized approaches. Here, we investigated the impact of CT placement on the remotely sensed mammal diversity in a tropical forest in Gabon by comparing pairs of systematically placed and wildlife‐trail‐oriented CTs. Our survey protocol consisted of 15–17 sampling points arranged on a 2 km2 grid and left for one month in the field. This protocol was replicated sequentially in four areas. Each sampling point comprised a CT pair: the ‘systematic CT’, installed at the theoretical point and systematically oriented towards the most uncluttered view; and the ‘trail CT’, placed within a 20‐m radius and facing a wildlife trail. For the vast majority of species, the detection probabilities were comparable between placements. Species average capture rates were slightly higher for trail‐based CTs, though this trend was not significant for any species. Therefore, the species richness and composition of the overall community, such as the spatial distribution patterns (from evenly spread to site‐restricted) of individual species, were similarly depicted by both placements. Opting for a systematic orientation ensures that pathways used preferentially by some species—and avoided by others—will be sampled proportionally to their density in the forest undergrowth. However, trail‐based placement is routinely used, already producing standardised data within large‐scale monitoring programmes. Here, both placements provided a comparable picture of the mammal community, though it might not be necessarily true in depauperate areas. Both types of CT data can nevertheless be combined in multi‐site analyses, since methods now allow accounting for differences in study design and detection bias in original CT data.

Standardized Methodology for Target Surveillance against African Swine Fever.

African swine fever (ASF) remains the most serious pig infectious disease, and its persistence in domestic pigs and wild boar (WB) is a threat for the global industry. The surveillance of WB plays a central role in controlling the disease and rapidly detecting new cases. As we are close to eradicating ASF, the need to find any possible pockets of infection is even more important. In this context, passive surveillance is the method of choice for effective surveillance in WB. Considering the time and economic resources related to passive surveillance, to prioritize these activities, we developed a standardized methodology able to identify areas where WB surveillance should be focused on. Using GIS-technology, we divided a specific Sardinian infected area into 1 km2 grids (a total of 3953 grids). Variables related to WB density, ASF cases during the last three years, sex and age of animals, and the type of land were associated with each grid. Epidemiological models were used to identify the areas with both a lack of information and an high risk of hidden ASFV persistence. The results led to the creation of a graphic tool providing specific indications about areas where surveillance should be a priority.

Landscape and parental tree availability drive spread of Ailanthus altissima in the urban ecosystem of Poznań, Poland

Invasive species are drivers of urban ecosystem transformation. However, their management requires cost-demanding distributional data. Here we proposed an approach using floristic surveys, land-use maps, and field observations to reveal the patterns responsible for the spread of invasive trees using open-source software. We used the tree of heaven – Ailanthus altissima (Mill.) Swingle as a model species, one of the most common invasive tree species in cities. We conducted our study in Poznań city (W Poland). Although there were no spontaneous individuals of A. altissima recorded in the 1980s, in 2015 we found it in 18 out of 242 1 km2 grid squares. We used a random forest model to show that the probability of A. altissima natural regeneration is positively associated with high cover of medium dense urban fabric (10–50%), recreational areas, and water. It was negatively correlated with the cover of forests, dense urban fabric (50−100%), and agricultural areas. We also found that most of the naturally regenerated individuals occurred up to 20 m from parental trees, and densities of natural regeneration were five times higher in paved surfaces and ruderal vegetation compared to lawns and bare ground. Despite model limitations, these patterns are consistent with other studies, revealing a set of rules facilitating prediction of A. altissima natural regeneration occurrence. Hence, our approach can facilitate narrowing the area of fieldwork required for mapping invasive tree species in urban ecosystems, help to design effective policy and management of invasive species in urban areas, and reduce costs of monitoring.