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Wild pigs are among the most widespread invasive vertebrate species, having been introduced across the globe as a source of food and for sport hunting. Over the last few decades, the growing ecological and economic impacts of wild pigs have precipitated a shift in the perception and management of this species from a desired game animal to a destructive invasive species, resulting in substantial investments in wild pig management. Most notably, in 2014 the National Feral Swine Damage Management Program was established by the U.S. Congress, representing one of the most extensive management programs for a single invasive species in North America to date. This infusion of interest in wild pig control and resources to carry out these programs has spurred technological innovation, resulting in new and enhanced tools for locating, capturing, and removing wild pigs, as well as a surge in research on this species across its range. These investments have resulted in the elimination or presumed elimination of wild pigs from 12 U.S. States in the last decade. However, several significant hurdles remain that must be addressed to achieve long term success in the management of invasive wild pigs. The lack of unified management goals both within and between many agencies is probably the most important factor limiting widespread control efforts, as there is still no standardized legalized classification of this species in the U.S., and some states continue to actively manage wild pigs as a game species. The lack of concordance in management goals underscores the need for better educational programs targeting the public, legislators, and even wildlife professionals. Further, illegal movement of pigs remains a major contributor to the continued establishment of wild pig populations in new areas. As control efforts shift into states with abundant wild pig populations and an entrenched culture of wild pig hunting, new approaches to management, expanded educational campaigns, more unified management goals, and additional investments in control efforts will be needed. While complete elimination of wild pigs from their invasive range is unlikely, adoption of these strategies should facilitate further contraction of their range, benefiting native wildlife, ecosystems, and humans.

Simple Summary: The increasing human population and its resultant demand on land bring more people in contact with wildlife, leading to increasing human–wildlife conflict. The Asian elephant, a wide-ranging species, is being increasingly threatened by human–elephant conflict [HEC]. Its conservation is thus demands for identifying the causes of HEC and implement measures to mitigate the HEC effectively. To identify the causes of HEC, we assessed the HEC in five forest divisions in Western Ghats, India, and compared it with 26 ecological factors. Spatially, HEC was highest in the Territorial Forest Division and lowest in those declared as Protected Areas earlier. Further, our results showed that crop damage decreased with increasing grass biomass, elephant density, dry-thorn and deciduous habitats, and forest range area, but increased with adult males and forest range perimeter. Similarly, the property damage by elephants increased with crop damage frequency and human settlement/cultivation area, but decreased with grass biomass, forest range area, and deciduous habitat area. Human casualties due to elephants increased with property damage, temperature, and forest range perimeter, but decreased with grass biomass. These findings suggest that anthropogenic pressure that decreases the grass biomass and degrades the habitat is the likely root cause of HEC. Therefore, minimizing anthropogenic pressure would reduce HEC and ensure the long-term conservation of elephants and other species, which will ultimately enhance the economic growth of humans. Since the human population is growing beyond the earth's ability to sustain it, more people are being brought into contact with wildlife, leading to increasing human–wildlife conflict. The Asian elephant, a wide-ranging megaherbivore, is being increasingly threatened by human–elephant conflict [HEC]. Its conservation depends on identifying the causes of HEC and implement measure to mitigate the HEC effectively. We studied the drivers of HEC among five forest divisions in Western Ghats, India, that support a high density of elephants across Asia. Comparing the last six years' data on HEC with 26 ecological covariates in the GLMM framework, we identified spatiotemporal variations and drivers of crop, and property damages and human casualties. Spatially, HEC was highest in the territorial division and lowest in those declared as Protected Areas earlier. The comparison of crop damage with covariates showed that crop damage decreased with the grass biomass index, elephant density, extent of dry-thorn, and deciduous habitats, and forest range area, while it increased with adult male % and forest range perimeter. Similarly, the property damage by elephants increased with crop damage frequency and human settlement/cultivation area, but decreased with grass biomass, forest range area, and deciduous habitat area. Human casualties due to elephants increased with property damage, ambient temperature, and forest range perimeter, but decreased with grass biomass. Overall, the decrease in HEC with grass biomass, and the increase in HEC with human settlement and forest range perimeter indicate that anthropogenic pressure that decreases the grass biomass and degrades the habitat is the likely root cause of HEC, and minimizing it would reduce overall HEC. [ABSTRACT FROM AUTHOR]

There is a need to reduce human–wildlife conflicts in the area around Liupanshan Nature Reserve in Ningxia Hui Autonomous Region, China. This study investigated the financial losses caused by wild boar and their causes. A questionnaire investigation (n = 135) and a field test were conducted, which included 108 sample lines and 97 infrared cameras. A principal component analysis and generalised linear model was used to analyse the importance of the effect of the factors on wild boar damage. Based on an estimate of 17,049 wild boars in the study area, we found that in the agricultural land owned by the residents, the boar density of each county and distance from the village to the nature reserve were the most significant factors that affected crop damage. Then, financial losses in spring, summer, and autumn had a moderate effect on financial loss, and the crop type had the lowest effect. We recommend reducing the wild boar population by increasing leisure hunting and the number of leopards. Additionally, a focus on farmland protection is a practical way to prevent wild boar invasions. Meanwhile, it is also necessary to conduct long-term monitoring of wild boar population status and manage the relationship between the government, research teams, and local people to more efficiently and comprehensively reduce conflicts between humans and wild boars. [ABSTRACT FROM AUTHOR]

Pistachio dieback (DBP) is a significant disease affecting pistachio trees in Iran, and it has emerged as a serious problem in Kerman province in recent years. This study investigates the role of bacteria as causal agents of DBP under laboratory and field conditions. Samples were collected from infected pistachio orchards in Kerman province from 2015 to 2016. The ability of bacterial isolates to induce disease and colonize vascular tissues was studied using various inoculation methods. Identification of isolates was carried out using biochemical and physiological assays, amplification of the 16S rDNA region, and partial analyses of the gyrA gene. A total of 281 bacterial isolates were obtained from infected trees, of which 148 induced a hypersensitivity reaction on tobacco leaves. Among these, 128 isolates were able to colonize vascular tissues in sub-bark inoculations of pistachio branches under laboratory conditions. In field experiments, 24 selected isolates were able to spread in vascular tissues of pistachio branches and twigs using sub-bark and apical inoculation methods, although disease severity varied. Staphylococcus pasteuri, Bacillus pumilus, Bacillus sp., Acinetobacter radioresistens, Xanthomonas sp., Curtobacterium flaccumfaciens, Pseudarthrobacter oxydans, and Pseudomonas koreensis were identified as being involved in the dieback of pistachio trees. This work demonstrates that a wide range of bacterial genera and species may be involved in DBP, and urgent strategies should be considered for managing the disease.

Combined PM2.5 and O3 pollution in China has caused negative health impacts on residents and reduced crop yields. The quantitative assessment and prediction of these impacts could provide a scientific basis for policy development. This study assessed the nationwide premature mortality, health effects, and crop damage attributable to PM2.5 and O3 pollution in 2019, and projected the associated health and agricultural losses under a business-as-usual (BAU) scenario for 2025. The economic benefits of improving air quality under different policy scenarios, including the 14th Five-Year Plan (FFP), Secondary Standard Limit (SSL), and Primary Standard Limit (PSL), were also explored. The results showed PM2.5 pollution in 2019 resulted in 246,000 all-cause premature deaths and the economic health loss was RMB 196.509 billion. Similarly, O3 pollution caused 186,300 premature deaths and the economic health loss was RMB 155.807 billion. O3 pollution has led to a loss of 28.5241 million tonnes of crop production and an economic loss of RMB 62.268 billion. Compared with 2019, the avoidable premature deaths from PM2.5 under different scenarios in 2025 were 50,600, 43,000, and 200,300 cases, respectively, exceeding the number of avoided premature deaths from O3 pollution. Compared with the BAU, reducing PM2.5 under different scenarios could generate economic benefits of RMB 70.178 billion, RMB 60.916 billion, and RMB 229.268 billion. Furthermore, the FFP scenario outperformed the SSL in mitigating winter wheat production losses caused by O3 pollution. These results provide important scientific support for the development and evaluation of future comprehensive pollution control measures for PM2.5 and O3. [ABSTRACT FROM AUTHOR]

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Context: Human–elephant conflict is a growing global problem. To mitigate such conflict, understanding factors affecting elephant intrusions into human-dominated areas is crucial. These factors are, however, complex because they are site specific and context dependent. Aims: This study aimed to identify factors associated with crop damage incidents from elephants in a buffer zone of a protected area in western Thailand. Methods: Interviews were conducted with local people to quantify crop damage by elephants between November 2020 to April 2021. We used compositional analysis to determine whether different crop types received different damage from elephants, and logistic regression analysis to examine environmental factors associated with crop damage incidents. Key results: Although it was previously thought that elephants focus on dominant palatable crops, we found that small patches of highly preferred crops can influence where elephants choose to feed. Distance from village was also a significant factor in crop foraging. Crop damage was not different between dry and wet seasons, probably because key crops were available year-round. Conclusions: Crop damage occurred across multiple crop types but mainly those with higher sugar content. The damage mostly occurred in fields farther from villages, suggesting that presence of humans may alter elephant crop foraging. No specific seasonal period of crop damage was observed. Implications: Changing crop types from species preferred by elephants to less preferred species and growing mixed species (multi-crop systems) instead of single species (mono-crops) may reduce elephant incursions. However, this needs field testing, including market-based assessments to evaluate the economic viability for farmers. Human–elephant conflicts occur frequently across countries within the elephant species range, but solutions remain elusive and are probably site-specific. In our study in western Thailand, pineapple received the most damage. Plantations further away from villages and those with larger areas of corn (an elephant-preferred crop) were associated with more crop damage. Based on local experience, planting multiple crops less preferred by elephants may reduce conflicts. [ABSTRACT FROM AUTHOR]

Human wild-boar conflict is one of the prominent issues in Nepal, especially in areas adjacent to protected areas. Wild boars cause substantial damage to the agricultural crops and affect the lives of rural farmers through economic loss. However, the extent of this loss varies across protected areas. Thus, this study aims to compare the economic loss due to crop damage by wild boar between two protected areas with different management regimes; Shuklaphanta National Park (ShNP) and Dhorpatan Hunting Reserve (DHR). We used a questionnaire survey and descriptive statistics to characterize and compare the pattern of human wild boar conflicts between ShNP and DHR. Altogether, the two protected areas experienced a crop damage of 87,035.78 kg with an estimated economic loss of 26,389 USD within a in our study. The most damaged crop in the ShNP was paddy whereas that in DHR was potato. We recorded a higher crop damage and economic loss in ShNP than in DHR. However, the severity of conflict is higher in DHR with around 8 % of the total production damaged by wild boar. Although the government declared wild boar an agricultural menace in 2023 and permitted killing on private lands, local communities should also apply other mitigation measures to prevent wild boars from entering crop fields. Additionally, the potential introduction of trophy hunting in ShNP (already permitted in DHR), following comprehensive studies, could help reduce economic losses associated with human-wild boar conflicts. Such combined efforts could create a more sustainable approach to managing wild boar populations while safeguarding local agriculture and livelihoods.

Conflict between wild boars and humans, and the ensuing economic losses has been a global challenge for government authorities and conservation biologists for over a decade. Understanding the interplay of ecological and anthropogenic factors driving human–wild boar conflicts is paramount for formulating effective strategies to address this challenge. This study employed species distribution modeling (SDM) to predict the extent and distribution of wild boar damage risk in Taleghan, Iran, where crop cultivation and livestock rearing represent the primary livelihood activities for the local communities. Our analyses revealed that 7.7 % of the overall study area is at high risk of wild boar crop damage. The area of high risk is proportionally smaller in the no-hunting zone (1.6 %) compared to the non-protected zone (14.8 %). Also, the areas at high risk were significantly lower within the no-hunting (1200 ha) area than in non-protected area (9500 ha). The most important determinants of the occurrence of high wild boar damage are presence of orchards (30.7 %), rangeland density (24.4 %), distance to human settlements (19.4 %), and slope (10.7 %). This study successfully mapped wild boar damage risk in northern Iran. The results suggest that areas with gentle slopes, heterogeneous landscapes featuring dense vegetation (i.e., orchards and rangelands) and human settlements with sparse road networks are at the highest risk of wild boar damage. The resulting map of conflict hotspots offers a concise visualization of conflict patterns across the landscape, facilitating prioritization and development of conflict mitigation measures for areas that require immediate attention.

Bangladesh, a low-lying deltaic plain formed by the convoluted network of streams within the Ganges-Brahmaputra-Meghna basin, is one of the worst climate change-induced natural hazards sufferers. Among all the riverine and coastal hazards, floods alone have wreaked havoc on the national economy. This study focused on determining the level of potential hazard of different crop stages of Transplanted Aman (T. Aman) rice based on the coincidence of the crop cycle stages with the duration and depth of flood of the Brahmaputra-Jamuna River system. A 2D hydrodynamic model has been developed using TUFLOW for the Brahmaputra-Jamuna River system under this study. The model simulated results for 2008 and 2019, representing bank-full flow conditions (2008) and a recent flood event (2019). It is seen that the vegetative stage for both the flooding scenarios is most affected for all selected monitoring locations, and the effect of flood events of the other two stages (reproductive and ripening stage) varied spatially. The analysis presented in the study can be used to determine the economic damage incurred to the lower-income community, primarily associated with agriculture. Adaptive actions and mitigation measures can be prioritized to depreciate the loss and damage due to these catastrophic flooding events.

Climate change, land use conversion and human population growth are reducing and fragmenting historical ranges of large animals, especially in Africa. Particularly, land conversion to agriculture is leading to coexistence challenges between humans and elephants. In this study we investigated the factors affecting the intensity of elephant crop damage in the Selous-Niassa Wildlife Corridor (Tanzania). We also predicted future conflicts (crop damage intensity) for different land management (crop types) and water scarcity (drought) scenarios using model averaging. Our results show that intensity of elephant damage (proportion of area damaged in an individual farm as a percentage) increased with crop palatability and land use conversion in the last ∼30 years, particularly deforestation. Conversely, the intensity of elephant damage decreased with increasing human activity (higher proportion of settlements and farmland), and distance to waterbodies. Most farms affected by elephants (65 %) were at short distances (< 250 m) from waterbodies. We also predicted a significant increase of elephant crop damage intensity from 17 % when the farm is covered with no palatable crops, to 54 % and 63 % when palatable crops covered 50 % and 100 % of the farmland, respectively. For the predicted water stress scenario in which all small seasonal waterbodies would dry off, we predicted a 46 % reduction in the total area of farmland susceptible to damage although we expect an increase in human-wildlife competition for water. We conclude that land use changes and water availability strongly affect elephant crop damage. We hope these results contribute to the development and better implementation of management strategies that enhance long-term peaceful coexistence between humans and elephants.

Crop damage caused by wild boar (Sus scrofa) in many agroforestry regions of the world has affected agricultural development and farmers' livelihoods. Understanding the patterns of wild boar crop damage is important for properly managing these conflicts, and can improve the effectiveness of existing prevention strategies. We collected a comprehensive dataset from Guizhou Province, China, from 2017 to 2020, obtained from motion-sensitive camera monitoring, transect surveys, interview surveys, and wildlife management administrations. These data include 3,156 records of wild boar activity in natural areas and 576 records of crop damage. We applied a multi-scale MaxEnt model to map the regional distribution of wild boar habitat suitability and crop damage risk in Guizhou Province and focused on the role of habitat suitability in wild boar crop damage from a regional perspective. Wild boar habitat suitability exhibits a divergent pattern, expanding from the central area of Guizhou Province to the eastern, northern, southern, and northwestern regions, with a gradually increasing trend. Suitability of habitat for wild boar was associated with composite topographic index, mean coldest season temperature, isothermality, Shannon diversity index, edge density, and distance to village roads. Similarly, crop damage caused by wild boars in agroforestry areas is mainly concentrated in the northeast, with the risk increasing from west to east. The risk of damage was associated with temperature seasonality, roughness, distance to village roads, precipitation in the warmest quarter, edge density, and contagion index. Furthermore, in agroforestry areas, there is a positive correlation between wild boar habitat suitability and crop damage risk, with Spearman rank correlation coefficients ranging from 0.5759 to 0.5932. This correlation is not perfectly synchronized on a regional scale. This study indicates that the relationship between habitat suitability and crop damage caused by wild boar in Guizhou Province is primarily influenced by changes in population size rather than the habitat. Consequently, we emphasize the importance of controlling wild boar populations through hunting as a way to effectively reduce the risk of crop damage in agroforestry areas, without neglecting the need for proper habitat management. [ABSTRACT FROM AUTHOR]

Game species with home ranges exceeding the area of the management units may entail conflicts over hunting rights and cause damage to crops and forest stands in surrounding areas. This is currently the case in the Mendro Mountain Range (Portugal), inhabited by free-ranging red (Cervus elaphus) and fallow deer (Dama dama) populations. This study's primary goal was to uncover the processes underlying these tensions and identify solutions to overcome them, thus reconciling the economic, social, and ecological functions of hunting. We analyzed data from three different sources of information regarding the surveyed management units: biophysical and anthropical spatial data collected using a GIS; typology, whether fenced, area and game bag results, data provided by a public institute; crop and forest damage locations reported by game managers. Approximately half of the surveyed open management units reported damage. We found no relationship between damage and game bag results, regardless of the typology and habitat quality index. To address this disconnection between the negative and positive values associated with deer locally, we proposed habitat management solutions. It is of chief importance to keep valuable crops apart from deer's refuge cover, such as bushy areas, to minimize damage in management units where deer hunting is a subsidiary activity. Conversely, in management units where deer hunting is of significant economic importance, the food and refuge cover should be closely interspersed to increase the management unit's carrying capacity. To improve the efficacy of measures such as this at a regional scale, as in the Mendro Mountain Range, we recommend implementing a so-called Global Management Plan. In Portuguese law, this governance instrument applies to the entire biologic unit where the deer populations occur, thus implying arrangements between the involved stakeholders and multiple other concerned institutions. [ABSTRACT FROM AUTHOR]

Protected areas have long been recognized globally as an important strategy for conserving biodiversity. However, the establishment of protected areas has often adversely impacted local livelihoods, particularly where people and their livelihoods are exposed to wildlife threats. Understanding the magnitude and the types of human and livelihood losses to wildlife can help to reduce the losses in the future. Here we collected and analysed a large and comprehensive historical data sets on crop damage, livestock depredation, and human attacks over eight years from January 2015 to October 2022 from Serengeti District and Ngorongoro Conservation Area to understand human and livelihood losses to wildlife in the Greater Serengeti Ecosystem (GSE). The data were government records of loss and compensation. Additionally, we performed individual interviews on what communities lose to wildlife in the area. We found that wildlife causes serious annual losses of crops (value estimated at USD 489,000) and livestock (USD 17,600). On average 22 people from villages beside or within the protected areas were injured each year and eight people were killed, usually by elephants. Compensation paid by the government to local communities only covered

Abstract Background Modern agriculture has undoubtedly led to increasing wildlife-human conflicts, notably concerning bird damage in productive and attractive crops during some parts of the annual cycle. This issue requires utmost attention for sedentary birds that may impact agricultural crops at any stage of their annual life cycle. Reducing bird-human conflicts requires a better understanding of the relationship between bird foraging activity and the characteristics of agricultural areas, notably with respect to changes in food-resource availability and crop sensitivity across the year. Methods We explored how GPS-tagged adult male western jackdaws– sedentary corvids– utilize agricultural areas throughout their annual cycle, in a context of crop depredation. More precisely, we described their daily occurrence distribution and the extent of habitat use and selection consistency with respect to landscape composition across time. Results Jackdaws moved in the close agricultural surroundings of their urban nesting place over the year (

Since the human population is growing beyond the earth’s ability to sustain it, more people are being brought into contact with wildlife, leading to increasing human–wildlife conflict. The Asian elephant, a wide-ranging megaherbivore, is being increasingly threatened by human–elephant conflict [HEC]. Its conservation depends on identifying the causes of HEC and implement measure to mitigate the HEC effectively. We studied the drivers of HEC among five forest divisions in Western Ghats, India, that support a high density of elephants across Asia. Comparing the last six years’ data on HEC with 26 ecological covariates in the GLMM framework, we identified spatiotemporal variations and drivers of crop, and property damages and human casualties. Spatially, HEC was highest in the territorial division and lowest in those declared as Protected Areas earlier. The comparison of crop damage with covariates showed that crop damage decreased with the grass biomass index, elephant density, extent of dry-thorn, and deciduous habitats, and forest range area, while it increased with adult male % and forest range perimeter. Similarly, the property damage by elephants increased with crop damage frequency and human settlement/cultivation area, but decreased with grass biomass, forest range area, and deciduous habitat area. Human casualties due to elephants increased with property damage, ambient temperature, and forest range perimeter, but decreased with grass biomass. Overall, the decrease in HEC with grass biomass, and the increase in HEC with human settlement and forest range perimeter indicate that anthropogenic pressure that decreases the grass biomass and degrades the habitat is the likely root cause of HEC, and minimizing it would reduce overall HEC.

There is a need to reduce human–wildlife conflicts in the area around Liupanshan Nature Reserve in Ningxia Hui Autonomous Region, China. This study investigated the financial losses caused by wild boar and their causes. A questionnaire investigation (n = 135) and a field test were conducted, which included 108 sample lines and 97 infrared cameras. A principal component analysis and generalised linear model was used to analyse the importance of the effect of the factors on wild boar damage. Based on an estimate of 17,049 wild boars in the study area, we found that in the agricultural land owned by the residents, the boar density of each county and distance from the village to the nature reserve were the most significant factors that affected crop damage. Then, financial losses in spring, summer, and autumn had a moderate effect on financial loss, and the crop type had the lowest effect. We recommend reducing the wild boar population by increasing leisure hunting and the number of leopards. Additionally, a focus on farmland protection is a practical way to prevent wild boar invasions. Meanwhile, it is also necessary to conduct long-term monitoring of wild boar population status and manage the relationship between the government, research teams, and local people to more efficiently and comprehensively reduce conflicts between humans and wild boars.

The Hawaiian flower thrips, Thrips hawaiiensis (Morgan, 1913) (Thysanoptera: Thripidae) is an important pest of several fruit crops in Türkiye’s Mediterranean region, one of the world’s major citrus-growing regions. In this study, the population fluctuation of T. hawaiiensis and other thrips species was investigated in citrus orchards, weeds, and nearby loquat trees. Results showed significant differences in populations of T. hawaiiensis among citrus varieties. The highest population density and damage ratio of T. hawaiiensis among citrus species were recorded in lemon variety (Kütdiken). Thrips hawaiiensis was detected on Daucus carota L. and Amaranthus albus L. among weeds as well as on flowers of loquat in the sampling area. The life cycle of T. hawaiiensis switched seasonally among citrus, weed, and loquat host plants. In addition, Melanthrips pallidior (Priesner, 1919) was the predominant species on weeds in the sampling area. These data suggest that T. hawaiiensis populations may be affected by climatic variations and hosts in and around the citrus orchard. The results are important in optimizing thrips monitoring and management strategies in citrus. [ABSTRACT FROM AUTHOR]

The Asian Elephant (Elephas maximus) is one of the important megafaunas in protected areas of the Terai (lowland) region of Nepal. They often encounter humans and their livelihood-supporting activities in the proximity of forest boundary within the protected area. The human-elephant conflict has been one of the major issues in the human settlement close to the protected area, which has caused economic losses and poised a threat to human lives every year. The issue has obstructed sustainable management initiatives within the protected areas. The objective of the study is to analyze the cause of the human-elephant conflict in the Buffer Zone of Bardiya National Park and to assess people's perception of this megafauna. The structured questionnaire survey was done in three municipalities within the Buffer Zone of Bardiya National Park. Besides, key informants' interview was done to supplement the questionnaire survey. The result shows that 93% of the respondents have been a victim of elephant attacks in the past three years. Last year, on average, each household lost approximately NRs 9690 (USD 1 = NRs 132.72) worth of stored harvest due to the elephant attack. Most of the attack occurs during the season between July to September, followed by the season between October to December. It also indicates that the preference of elephants for crops is the primary cause of elephant attacks/raids in the study area. The second important cause of the elephant attack is insufficient food base which is followed by the expansion of agricultural fields towards the forest. Ninety percent of respondents react to the elephant attack by chasing them (using fire or noise). Fifty-one percent of respondents accept the human-elephant coexistence because of their biological and economic values. However, 40% of them reject the coexistence because of the threat posed by the elephant upon the local people and their livelihood. Human-elephant conflict hinders the management campaign and therefore has to be resolved through collaboration of the protected area, the local people and the administrative stakeholders. It is suggested that more study has to be made to acknowledge the pattern of residing as well as migrating elephants around forest boundaries and adjacent settlements. [ABSTRACT FROM AUTHOR]

Soil compaction is a prevailing problem in the UK agricultural industry. This investigation focuses on the effect of tractor tyre width on a temporary grass crop used for both grazing and silage conservation. The tyres used were 650/75 R38 on the rear and 600/70R28 on the front, with wider tyres 900/70 R42 on the rear and 710/55 R30 on the front axles for comparison. Measurements identified the areas affected by the tyres, included the degree of soil compaction and damage to the crop. The results proved the wider the tyre, although creating a wider track, compacted a lower volume of soil when compared to the narrower tyre. The narrower tyre width compacted the soil to a greater depth where compaction is more difficult to relieve without disturbing the soil structure. [ABSTRACT FROM AUTHOR]

Abstract Background An important conservation challenge is to mitigate negative impacts that wild birds and mammals can have on human practices and livelihoods, and not least on agricultural crops. Technical interventions to limit the number and severity of damages are available, but evaluations of intervention effectiveness are usually limited in scope, and meta-analyses are rare. This protocol describes a systematic review that seeks to answer the following question: How effective are evaluated interventions in reducing damage from herbivorous wild birds and mammals on agricultural crops? Methods The literature searches are made in the databases Scopus and Zoological Record. The search string is based on a Population-Intervention-Comparator-Outcome (PICO) formatted research question, and search terms fall within five categories: Wildlife type (Population), Damage object (Population), Counteraction (Intervention), Evaluation (Comparator), and Damage (Outcome). Initial scoping searches informed amendment of the search string. A set of 19 benchmark articles were used to estimate the ability of the scoping search to capture relevant literature. To be eligible for inclusion in the review, original articles should study cases where settings of exposure to interventions (measures implemented to reduce damages on agricultural crops caused by terrestrial birds and mammals) are compared to a control setting without exposure to interventions. Eligible studies will be subject to data extraction, systematically documented in an Excel spreadsheet. Associated risk of bias will be critically appraised for the included articles according to seven criteria: 1. risk of confounding biases, 2. risk of post-intervention selection biases, 3. risk of misclassified comparison biases (observational studies only), 4. risk of performance biases (experimental studies only), 5. risk of detection biases, 6. risk of outcome reporting biases, and 7. risk of outcome assessment biases. The results will be reported in narrative and, if possible, quantitative syntheses. The quantitative synthesis will include a summary statistic calculated based on the data of each study and illustrated graphically in a forest plot. If possible, meta-regression analyses will be conducted.

The variability and distribution of rainfall are uniquely significant for climatic risk prediction. This study aims to assess spatiotemporal rainfall variability and flash flood intensity events in the Sylhet haor region of Bangladesh by analyzing rainfall data from April for the period 1995–2022. For this, we used both Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) data and Bangladesh Meteorological Department (BMD) daily rainfall data. Rainfall patterns were studied using zonal statistics in ArcGIS and graphical illustration. The results revealed that the rainfall pattern was erratic and showed a range of spatiotemporal variability. If the average rainfall exceeds 250 mm in Meghalaya and Assam and 400 mm in Sylhet, severe flash floods may occur in the Sylhet haor region. An increase in pre-monsoon rainfall and its shift from May to April may increase the intensity of flash floods and consequently damage the rice crop. This finding might help flood management agencies to develop flood management strategies, prepare flood contingency plans, provide real-time and advanced warnings to strengthen flood warning and forecasting systems, and schedule seasonal agricultural activities. HIGHLIGHTS Comparative analysis of April rainfall trends in the Assam, Meghalaya, and the Sylhet haor region between 1995 and 2022.; Correlation between rainfall from Assam and Meghalaya and flash flood probability in the Sylhet haor region.; Flash flood severity forecast in the Sylhet haor region.;

This study aimed to assess mound abundance, the livelihood impacts of termites, and determinant factors in the Meta Robi District, Ethiopia. A descriptive research design was used for primary data collection from the three selected kebeles. Termite nests were counted from each Goxi (the sub-kebele and the smallest unit in Ethiopia) using a transect line. In addition, 190 household heads were selected randomly from each kebele, and a questionnaire survey was used to collect primary data from the respondents. Termite nests were abundant in Warabo (7.25.71 per 1000 m2), but scarce in Warke Walensu Kebele (2.25.50 per 1000 m2). Teff (49.5%) and wheat (32.6%) were the most severely affected crops by termites. The mean annual hectare of land and quintals of teff and wheat damaged per household was higher in Warabo Kebele (p

Crop damage, predation on domestic animals and human attacks are often associated with human-wildlife conflict. The abundance and encounter rate of wild mammals are often associated with human wildlife conflict. Crop damage, livestock depredation and human injury and their relation with environmental factors and encounter rate of the mammals was evaluated in the central region of Chitwan Annapurna Landscape. The abundance and the encounter rate of large mammals were determined by dividing the study area into four different study blocks (A, B, C and D) based on river course and topography. A total of 150 transects (average length = 3.18 ± 0.11 km), were administrated for data collection. Similarly, information on human-wildlife conflict was collected using 600 semi-structured questionnaires (150 from each block). The chital was the most abundant mammal (encounter rate (ER) = 1.49 and relative abundance (RA) = 55.45%) in block A whereas muntjac had the highest encounter rate in blocks B, C and D (ER = 0.34, 0.31, 0.79 respectively) but the relative abundance of rhesus was comparatively higher in blocks B, C and D. The signs of tiger were reported from block A only whereas signs of leopard were reported from all blocks. But signs of Himalayan black bear were reported from B, C and D. The encounter rate of the mammals correlated with the monetary loss caused by them. Greater one-horned rhino, wild pig and chital in lowland and monkeys, northern red muntjac, and Himalayan black bear in mid-hills (blocks B, C and D) were the principal crop raiders with a total average annual loss of US$ 11.45 per household. Similarly, the total annual monetary loss by livestock depredation was US$ 76.60 per household. This study evaluated the encounter rate of mammals and their effects on the conflict with people. However, the negative effects arrived from human-wildlife conflicts always threaten large mammals. Hence, this study suggests future intensive studies related to mitigation and prevention methods to mitigate the issues of human-wildlife conflicts.

Nematodes are soil-dwelling organisms that inflict substantial damage to crops, resulting in significant declines in agricultural productivity. Consequently, they are recognized as one of the primary contributors to global crop damage, with profound implications for food security. Nematology research assumes a pivotal role in tackling this issue and safeguarding food security. The pursuit of nematology research focused on mitigating nematode-induced crop damage and promoting sustainable agriculture represents a fundamental strategy for enhancing food security. Investment in nematology research is crucial to advance food security objectives by identifying and managing nematode species, developing novel technologies, comprehending nematode ecology, and strengthening the capabilities of researchers and farmers. This endeavor constitutes an indispensable step toward addressing one of the most pressing challenges in achieving global food security and promoting sustainable agricultural practices. Primarily, research endeavors facilitate the identification of nematode species responsible for crop damage, leading to the development of effective management strategies. These strategies encompass the utilization of resistant crop varieties, implementation of cultural practices, biological control, and chemical interventions. Secondly, research efforts contribute to the development of innovative technologies aimed at managing nematode populations, such as gene editing techniques that confer resistance to nematode infestations in crops. Additionally, the exploration of beneficial microbes, such as certain fungi and bacteria, as potential biocontrol agents against nematodes, holds promise. The study of nematode ecology represents a foundational research domain that fosters a deeper comprehension of nematode biology and ecological interactions. This knowledge is instrumental in devising precise and efficacious management strategies.

Summary: The West African giraffe is restricted to Niger, but historically it inhabited much of the Sudano-Sahelian zone. The population is concentrated in the 'Giraffe Zone' (GZ), an unprotected area with a high human population density. Since the mid-1990s, the giraffe population has steadily increased mainly due to the collective social and conservation initiatives of the government, non-governmental organizations and the local community. In 2018, the first West African giraffe satellite population was established through the reintroduction of eight individuals into Gadabedji Biosphere Reserve (GBR). In this study, we aimed to describe the current state of human–giraffe coexistence, human attitudes towards giraffe and human habits of natural resources use through a questionnaire survey conducted in the GZ and GBR. Although most of the GZ respondents highlighted crop damage caused by giraffe, we also found overall positive attitudes towards the animals. Most respondents from both sites expressed positive attitudes towards giraffe, highlighting that they do not see poaching as a major current threat. However, the giraffe population continues to be directly threatened by habitat loss through firewood cutting, livestock overgrazing and agriculture expansion. Long-term conservation of the West African giraffe is dependent on better habitat protection and understanding of current human–giraffe coexistence through ensuring that giraffe presence will benefit local communities across their range. [ABSTRACT FROM AUTHOR]

Background: An important conservation challenge is to mitigate negative impacts that wild birds and mammals can have on human practices and livelihoods, and not least on agricultural crops. Technical interventions to limit the number and severity of damages are available, but evaluations of intervention effectiveness are usually limited in scope, and meta-analyses are rare. This protocol describes a systematic review that seeks to answer the following question: How effective are evaluated interventions in reducing damage from herbivorous wild birds and mammals on agricultural crops? Methods: The literature searches are made in the databases Scopus and Zoological Record. The search string is based on a Population-Intervention-Comparator-Outcome (PICO) formatted research question, and search terms fall within five categories: Wildlife type (Population), Damage object (Population), Counteraction (Intervention), Evaluation (Comparator), and Damage (Outcome). Initial scoping searches informed amendment of the search string. A set of 19 benchmark articles were used to estimate the ability of the scoping search to capture relevant literature. To be eligible for inclusion in the review, original articles should study cases where settings of exposure to interventions (measures implemented to reduce damages on agricultural crops caused by terrestrial birds and mammals) are compared to a control setting without exposure to interventions. Eligible studies will be subject to data extraction, systematically documented in an Excel spreadsheet. Associated risk of bias will be critically appraised for the included articles according to seven criteria: 1. risk of confounding biases, 2. risk of post-intervention selection biases, 3. risk of misclassified comparison biases (observational studies only), 4. risk of performance biases (experimental studies only), 5. risk of detection biases, 6. risk of outcome reporting biases, and 7. risk of outcome assessment biases. The results will be reported in narrative and, if possible, quantitative syntheses. The quantitative synthesis will include a summary statistic calculated based on the data of each study and illustrated graphically in a forest plot. If possible, meta-regression analyses will be conducted. [ABSTRACT FROM AUTHOR]

Game species with home ranges exceeding the area of the management units may entail conflicts over hunting rights and cause damage to crops and forest stands in surrounding areas. This is currently the case in the Mendro Mountain Range (Portugal), inhabited by free-ranging red (Cervus elaphus) and fallow deer (Dama dama) populations. This study’s primary goal was to uncover the processes underlying these tensions and identify solutions to overcome them, thus reconciling the economic, social, and ecological functions of hunting. We analyzed data from three different sources of information regarding the surveyed management units: biophysical and anthropical spatial data collected using a GIS; typology, whether fenced, area and game bag results, data provided by a public institute; crop and forest damage locations reported by game managers. Approximately half of the surveyed open management units reported damage. We found no relationship between damage and game bag results, regardless of the typology and habitat quality index. To address this disconnection between the negative and positive values associated with deer locally, we proposed habitat management solutions. It is of chief importance to keep valuable crops apart from deer’s refuge cover, such as bushy areas, to minimize damage in management units where deer hunting is a subsidiary activity. Conversely, in management units where deer hunting is of significant economic importance, the food and refuge cover should be closely interspersed to increase the management unit’s carrying capacity. To improve the efficacy of measures such as this at a regional scale, as in the Mendro Mountain Range, we recommend implementing a so-called Global Management Plan. In Portuguese law, this governance instrument applies to the entire biologic unit where the deer populations occur, thus implying arrangements between the involved stakeholders and multiple other concerned institutions.

Hailstorms have increased in frequency and intensity over the past decade causing substantial losses in agriculture. Since hailstorms often hit a wide area with no detectable pattern, relying on traditional field-based methods to assess crop damage is difficult. The aim of this study was to develop and test a new four-stage normalized vegetation index approach for detecting the severity of hailstorm damage on sugarcane plants in a large estate in south eastern Zimbabwe. The following six spectral indices were computed for the period before and after a hailstorm event to assess the extent of hailstorm damage on sugarcane: Green Chlorophyll Index (GCI); Normalized Difference Vegetation Index (NDVI); Normalized Difference Senescent Vegetation Index (NDSVI); Red Edge Chlorophyll Index (RECI); Normalized Difference Tillage Index (NDTI); and Modified Soil Adjusted Vegetation Index (MSAVI2). Then, the spectral differences were computed for each index separately and the difference maps are reported as delta (Δ) indices. The results of this study show that within one week and even two weeks after a hailstorm, ΔNDTI, ΔNDVI and ΔRECI were consistently able to detect and characterise the severity of sugarcane damage. When used in partial least squares-discriminant analysis (PLS-DA), ΔNDTI performed best in mapping the severity of crop damage throughout the large estate. ΔNDTI was able to discriminate three different levels of sugarcane damage with an overall accuracy of 90% and a Kappa value of 0.85. Combined these results imply that ΔNDTI computed using multi-spectral datasets within a fortnight after a hailstorm is a promising tool for generating reliable information about the severity of sugarcane damage by hailstorms. Such spatially explicit information is useful for creating customised crop insurance packages sensitive to damage incurred by the farmer.

On August 1, 2019, the first specimen of Hellula undalis (Fabricius, 1781) (Lepidoptera: Crambidae) (old world webworm) for Belgium was photographed in Muizen (Province Antwerp), leg. G. Verbeylen. Further observations were not made until 2022, when three observations were suddenly made in that year; these are discussed along with crop damage and biology. This species is mentioned here for the first time for the Belgian fauna. [ABSTRACT FROM AUTHOR]

Running Reelfoot Bayou (RRB) is the outlet canal of Reelfoot Lake, the largest natural lake in Tennessee. RRB is not able to contain discharge from Reelfoot Lake greater than the bankfull discharge of 28 m3/s (1000 ft3/s), which typically occurs at the beginning of the growing season (April–June). Historically, the planting of crops has been delayed until flooding subsides and cropland has drained. The objective of this study is a preliminary quantification of cropland inundation to determine its spatial distribution in the RRB floodplain. Inundated croplands in the RRB floodplain were delineated over a range of spillway discharges from 2 to 57 m3/s (70–2000 ft3/s), using one‐dimensional–two‐dimensional hydrodynamic modeling and multispectral satellite images (Landsat 8 and Sentinel‐2). The composite maps made by combining the simulated and image‐derived flood maps were overlaid on the United States Department of Agriculture CropScape layer to determine the inundation of individual summer crops during the growing season. About 25% of the inundated croplands are flooded at discharges of RRB less than 28 m3/s, implying wetland hydrology. The results of this analysis can be used to inform operational management of the Reelfoot Lake spillway. [ABSTRACT FROM AUTHOR]

The accurate evaluation of crop damage by wild animals is crucial for farmers when seeking compensation from insurance companies or other institutions. One of the game species that frequently cause crop damage in Europe is the wild boar, which often feeds on maize. Other game species, such as roe deer and red deer, can also cause significant crop damage. This study aimed to assess the accuracy of crop damage evaluation based on remote sensing data derived from unmanned aerial vehicles (UAVs), especially a digital surface model (DSM) based on RGB imagery and NDVI (normalized difference vegetation index) derived from multispectral imagery, at two growth stages of maize. During the first growth stage, when plants are in the intensive growth phase and green, crop damage evaluation was conducted using both DSM and NDVI. Each variable was separately utilized, and both variables were included in the classification and regression tree (CART) analysis, wherein crop damage was categorized as a binomial variable (with or without crop damage). In the second growth stage, which was before harvest when the plants had dried, only DSM was employed for crop damage evaluation. The results for both growth stages demonstrated high accuracy in detecting areas with crop damage, but this was primarily observed for areas larger than several square meters. The accuracy of crop damage evaluation was significantly lower for smaller or very narrow areas, such as the width of a single maize row. DSM proved to be more useful than NDVI in detecting crop damage as it can be applied at any stage of maize growth. [ABSTRACT FROM AUTHOR]

The growing global population and accompanying increase in food demand has put pressure on agriculture to produce higher yields in the face of numerous challenges, including plant diseases. Tomato is a widely cultivated and essential food crop that is particularly susceptible to disease, resulting in significant economic losses and hindrances to food security. Recently, Artificial Intelligence (AI) has emerged as a promising tool for detecting and classifying tomato leaf diseases with exceptional accuracy and efficiency, empowering farmers to take proactive measures to prevent crop damage and production loss. AI algorithms are capable of processing vast amounts of data objectively and without human bias, making them a potent tool for detecting even subtle variations in plant diseases that traditional techniques might miss. This paper provides a comprehensive overview of the most recent advancements in tomato leaf disease classification using Machine Learning (ML) and Deep Learning (DL) techniques, with an emphasis on how these approaches can enhance the accuracy and effectiveness of disease classification. Several ML and DL models, including convolutional neural networks (CNN), are evaluated for tomato leaf disease classification. This review paper highlights the various features and techniques used in data acquisition as well as evaluation metrics employed to assess the performance of these models. Moreover, this paper emphasizes how AI techniques can address the limitations of traditional techniques in tomato leaf disease classification, leading to improved crop yields and more efficient management techniques, ultimately contributing to global food security. This review paper concludes by outlining the limitations of recent research and proposing new research directions in the field of AI-assisted tomato leaf disease classification. These insights will be of significant value to researchers and professionals interested in utilizing ML and DL techniques for tomato leaf disease classification and ultimately contribute to sustainable food production (SDG-3). [ABSTRACT FROM AUTHOR]

Habitat manipulation is an important technique that can be used for controlling rodent damage in agricultural ecosystems. It involves intentional manipulation of vegetation cover in habitats adjacent to active burrows of rodents to reduce shelter and food availability and to increase predation pressure. The current study was conducted in the Pothwar Plateau region of Pakistan during respective non-crop periods of wheat-groundnut (post-harvested and un-plowed/non-crop fallow lands). The pur­pose was to assess the impact of reduction in vegetation height of adjacent habitats (field borders) on rodent richness and abun­dance. The study area was divided into two sites: treated and non-treated. At the treated sites, habitat manipulation was carried out by removing crop cache and non-crop vegetation over 10 cm in height to a distance of approximately 20 m from the fields. The trapping sessions carried out at both treated and non-treated sites adjacent to wheat-groundnut fields were significantly different (F2,6 = 13.2, P = 0.001) from each other, with the maximum number of rodents captured from non-treated sites. There was a significant difference in the overall abundance of rodents (P < 0.05) between crop stages and between treatments in both crops. The manipulation effect was observed with respect to damage to crops and yield production, significantly reducing damage within the associated croplands (P < 0.05). The outcomes of this study indicated a significant reduction of rodent population at treated sites due to changes in vegetation height and cover, which directly affect habitat and behavior attributes (e.g., food, shelter, movements, increased risk sensitivity, and feeding behavior) for rat. Rodents apparently were unable to reach levels where they could cause significant crop damage. This method is recommended as a cost-effective and easy application.

[Display omitted] • Date palm production loss was characterized using tree/fruit morpho-biochemical traits. • Fruit damages caused by sparrows were higher in Deglet-Nour and Ghars varieties. • Depredation levels of dates significantly varied between studied cultivars. • Sparrow depredation was high in cultivars with high fruit water content, pH and reducing sugars. • Production loss parameters were positively correlated with date morphometric and biochemical traits. Bird intake and damage to fruits of Phoenix dactylifera is a common problem in date palm cultivation regions. Though plant vegetative characteristics and fruit nutritional values influence frugivory behavior in passerines, there is little knowledge about these parameters for sparrows feeding on dates, as most previous studies have focused on the impact of farm organization and location on the feeding choice made by sparrows. This study aimed to examine the effects of date palm tree traits and its fruit morphology and biochemical traits on the level of damage caused by hybrid sparrows to date fruits of three different date palm cultivars. In a traditional date palm plantation, three date varieties (Degla-Beida, Deglet-Nour and Ghars) were analyzed. The estimates of date production loss were correlated to several tree morphometrics and fruit morphological and biochemical traits, including the number of bunches/tree, bunch height, number of pedicels/bunch, number of dates per strand, total production/tree, and date fruit traits (length, width, weight, volume, pulp weight, ratio pulp weight/date weight, sugar content, water content and pH). We demonstrated that sparrows were attracted to bunches with low height and high fruit density, but they showed no interest to number of bunches per tree, number of pedicels per bunch, total number of dates and production per tree. Regarding date morphology, large and heavy dates were more likely to be selected by sparrows, although an unclear relationship was found between production loss per tree and date length, width and volume. In terms of fruit biochemical traits, sparrows damage rates increased with the increase in fruit pH, moisture, and total and reducing sugars. The average rate of lost dates per tree was 9.2 ± 7.66%, 8.4 ± 5.16%, and 3.9 ± 1.71% for Ghars, Deglet-Nour, and Degla-Beida, respectively. Significant differences were observed between cultivars in the amounts of damaged dates still on bunches or fallen on the ground. The hierarchical choice of dates by sparrows was also confirmed. Our results showed that soft dates were more preferred by sparrows than semi-soft and dry ones. The findings of this study indicated that it is necessary to provide extensive protection for highly attacked cultivars in palm groves. [ABSTRACT FROM AUTHOR]

The species Aegomorphus quadrigibbus (Say) and Thryallis undatus (Chevrolat) (Coleóptera: Cerambycidae) were identified causing damage to Persian lime trees in Martínez de la Torre municipality orchards, in central Veracruz state, Mexico. Ovipositions made by the adults to lay eggs on trunks and branches were observed, with galleries between two and five cm deep, which caused the branches to dry up and, in some cases, complete death of the trees. In trees previously affected with vascular pathogens or with nutrient deficiencies, the damage was more severe because the larvae formed galleries that surrounded the trunk or branches, preventing the flow of nutrients. The average incidence in the sampled trees was 10.8%. Since the Martínez de la Torre area is the most important Persian lime production region in Mexico, it is necessary to monitor crops to determine the presence of insects and develop studies to define levels of damage and management strategies for their insects' populations when requ i red. This is the first record of A. quadrigibbus and T. undatus associated with trees of the Rutaceae family and causing damage to Persian lime orchards. [ABSTRACT FROM AUTHOR]

Abstract Crop depredation by blackbirds (Icteridae) results in substantial economic losses to the United States sunflower industry, and a solution to effectively reduce damage remains elusive. We evaluated the utility of uncrewed aircraft systems (UAS), or drones, as hazing tools to deter foraging blackbirds from commercial sunflower (Helianthus annuus) fields in North Dakota, USA, between September and October 2017. We compared the efficacy of 3 drones: a fixed‐wing predator model mimicking the form of an aerial raptor, a fixed‐wing airplane of similar size, and a multirotor drone. Multirotor drones are relatively easy to fly and are a multifunctional tool for agricultural use; however, they may not be an effective avian deterrent due to a lack of similarity in appearance with natural predators. Free‐ranging blackbird flocks (n = 58) reacted to every drone approach by initiating flight and took flight 1.6 times sooner for the fixed‐wing predator model (flight initiation distance [FID] = 90 m) and 1.8 times sooner for the fixed‐wing airplane (FID = 98 m) compared to the multirotor drone (FID = 55 m). However, the probability of a blackbird flock (n = 53) abandoning a field was greater with smaller field and flock sizes, rather than the specific drone deployed. In an applied setting, the performance of drones as avian hazing devices will likely depend on a combination of factors including platform selection, drone trajectory, duration of use, season, landscape context, and natural history of the pest species.

Abstract Foraging on crops by wild ungulates may create human–wildlife conflicts through reducing crop production. Ungulates interact with and within complex socio‐ecological systems, making the reduction of crop damage a challenging task. Aside from ungulate densities, crop damage is influenced by different drivers affecting ungulate foraging behaviour: food availability and food quality in the landscape (i.e. the foodscape) as well as fear from hunting and scaring actions (i.e. the landscape of fear) may together affect the degree of damage via both direct and indirect effects. A better understanding of the individual effects of these potential drivers behind crop damage is needed, as is an appreciation of whether the effects are dependent on ungulate density. We investigated this by applying path analysis to test indirect and direct links between ungulate density, foodscape, landscape of fear and human management goals on crop damage of oats and grass, respectively. Our results suggest that crop type is the major driver behind crop damage, with more damage to oats than to leys, implying that human decisions (i.e. changing crop type) influence the level of crop damage. We found that management goals and actions influenced the foodscape and the landscape of fear, by affecting the amount of forage produced in the agricultural landscape and the amount of scaring actions. Additionally, we found that supplementary feeding influenced the local ungulate densities in the area. Our results highlight the importance of including human actions on multiple levels when assessing drivers behind damage by ungulates in managed landscapes. We suggest that more studies using path analysis on multiple scales are needed in order to tackle complex issues, such as crop damage and other human–wildlife conflicts.

People’s interests and needs, as well as biological characteristics of species, determine human perception and interaction with biodiversity. Thus, both cultural and biological factors should be considered to understand biocultural salient species. We studied the cultural and biological traits that influence bird salience for an indigenous community in Mexico. Firstly, we used bird lists mentioned by local people to compute salient indexes for species. Then, we constructed seven cultural association categories to represent the local significance of birds (recreation, beliefs, environment, food, crop damage, economy, pets) and compiled biological information about species (color, size, vocal activity, detectability, abundance, daily activity pattern, habitat, residence status, taxonomic family). Finally, we determined the relations of cultural associations and biological traits with bird salience using hierarchical clusters. We observed a strong link between salient birds and human feeding, as these animals were locally recognized as food and threat to crops. Salient and non-salient birds were differentiated by their residence status and vocal activity, as local awareness was greater towards year-round resident and vocal species. Salience related the most with abundance, followed by color and detectability. Our study provides a route to identify cultural and biological factors influencing biocultural salience, which might prove useful for establishing conservation initiatives, public policies, and environmental education actions.

Abstract Background Human-wildlife conflict (HWC) is forecasted to increase globally in the vicinity of protected areas and covers various dimensions. It occurs in several different contexts and involves a range of animal taxonomic groups where the needs and requirements intersect with humans’ needs and development. More often, human-monkey conflict occurs in developing countries and is amongst the main threats to biodiversity conservation in these regions. Grivet monkeys are slender agile monkeys of the genus Cercopithecus. This study was conducted to investigate the status of human grivet monkey conflict and the attitude of local communities towards grivet monkey conservation in and around Wof-Washa Natural State Forest (WWNSF), Ethiopia from September 2017 to May 2018. A questionnaire survey (143 respondents) was used to study the human-grivet monkey conflict and its conservation status. Results The majority of respondents (male = 67.1%; female = 74.1%) were not supporting grivet monkey conservation due to the troublesome crop-damaging effect of the animal. Respondents having settlements/farmland nearer to the forest have significantly negative perceptions towards grivet monkey conservation than those far from it. The majority of respondents opined that eradication/relocation of grivet monkeys and financial compensation are the options to mitigate human-grivet monkey conflict. Based on the questionnaire result, 42.5 ± SD 8.68 of respondents in all villages elucidated that the main cause of crop damage by grivet monkeys was habitat degradation. Conclusion In the study area, Human-Grivet Monkey Conflict (HGMC) is exacerbated by the encroachment of local communities into the forest area, exploitation of resources that would be used by grivet monkeys, and enhanced crop damage by grivet monkeys. As a result grivet monkeys have been persecuted as a consequence of crop damage. This was due to the negative attitude developed from human perspective. Thus, awareness creation education programs and feasible crop damage prevention techniques need to be implemented.

Abstract Presently, there are an estimated 6.9 million wild pigs (Sus scrofa) in the U.S., which cause over US$1 billion in damage to agriculture, environmental impacts, and control costs. However, estimates of damage have varied widely, creating a need for standardized monitoring and a method to accurately estimate the economic costs of direct wild pig damage to agriculture. The goal of our study was to integrate remotely sensed imagery from drones and crop harvest data to quantify wild pig damage in corn fields. We used drones with natural color (red, green, blue) cameras to monitor corn fields at different growth stages in an agricultural matrix in Delta County, Texas, USA, during 2019–2020. We flew 36 drone missions and classified wild pig damage in 18 orthomosaics by a combination of manually digitizing and deep‐learning algorithms. We compared estimates of damage from drone imagery to those derived from ground‐based transect surveys, to verify pig damage. Finally, we compared damaged areas of fields to maps of collected real‐time yields at harvest to estimate yield loss. All classified drone orthomosaics of pig damage had >80% overall accuracy for all growth stages. Ground transect surveys, which subsampled 2.6–4.1% of the field, were found to miss damage compared to the complete field coverage provided by drone imagery. Most damage occurred in latter growth stages, when corn ears were maturing, seed was most nutritious, and producers had already invested in the majority of annual crop inputs. Wild pigs damaged up to 9.2% of a single monitored field, which resulted in a mean loss of 3,416 kg of corn/ha and a direct cost to producers of US$17.18–48.24 per ha of damage. Drone imagery, when combined with spatially‐ explicit, harvest yield data, provides an accurate assessment of crop damage and yield loss due to wild pigs in the currency required for the cost‐benefit evaluation of management actions.