Find research datasets worth reusing

opencc-by-4.0Jan 2021View details →

Unexpected effects of local management and landscape composition on predatory mites and their food resources in vineyards

This research was funded by the project SECBIVIT. Dataset of the results in the Articel: Unexpected effects of local management and landscape composition on predatory mites and their food resources in vineyards. For further information also see:  <ul> <li>Sampled grape varieties: http://doi.org/10.5281/zenodo.4562219 </li> <li>https://www.secbivit.boku.ac.at/</li> </ul>

opencc-zeroOct 2023View details →

Data from: Effective population size of Culex quinquefasciatus under insecticide-based vector management and following Hurricane Harvey in Harris County, Texas

<div> Culex quinquefasciatus is mosquito species of significant public health importance due to its ability to transmit multiple pathogens that can cause mosquito-borne diseases, such as West Nile fever and St. Louis encephalitis. In Harris County, Texas, Cx. quinquefasciatus is a common vector species and is subjected to insecticide-based management by the Harris County Public Health Department. However, insecticide resistance in mosquitoes has increased rapidly worldwide and raises concerns about maintaining the effectiveness of vector control approaches. This concern is highly relevant in Texas, with its humid subtropical climate along the Gulf Coast that provides suitable habitat for Cx. quinquefasciatus and other mosquito species that are known disease vectors. Therefore, there is an urgent and ongoing need to monitor the effectiveness of current vector control programs. In this study, we evaluated the impact of vector control approaches by estimating the effective population size of Cx. quinquefasciatus in Harris County. We applied Approximate Bayesian Computation to microsatellite data to estimate effective population size. We collected Cx. quinquefasciatus samples from two mosquito control operation areas, 415 and 802, during routine vector monitoring in 2016 and 2017. No county mosquito control operations were applied at area 415 in 2016 and 2017, whereas extensive adulticide spraying operations were in effect at area 802 during the summer of 2016. We collected data for eighteen microsatellite markers for 713 and 723 mosquitoes at eight timepoints from 2016 to 2017 in areas 415 and 802, respectively. We also investigated the impact of Hurricane Harvey's landfall in the Houston area in August of 2017 on Cx. quinquefasciatus population fluctuation. Although we did not detect significant effects of vector control interventions, we found considerable influences of the winter season and a major hurricane on the effective population size of Cx. quinquefasciatus. The fluctuations in effective population size in both areas showed a significant seasonal pattern. Additionally, the significant population expansion following Hurricane Harvey in 2017 supports the necessity for post-hurricane vector-control interventions.</div>

opencc-by-4.0Mar 2024View details →

Applying innovative cloud computing technology for the effective management of Groundwater resources to promote SUStainable food security within the Sokoto Basin, Nigeria (AGSUS)

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →

Database to: Effectiveness of soil management strategies for mitigation of N2O emissions in European arable land: A meta-analysis

Database to a meta-analysis studing the effects of adding different organic matter inputs (crop residues, green manure, livestock manure, slurry, digestate, compost or biochar) to soils on N2O emissions. Database consists of over 50 field experiments conducted in 15 European countries. Diverse arable crops, mainly cereals, were cultivated in monoculture or in crop rotations on mineral soils.  Cumulative N2O emissions per unit land area were monitored during periods of 30 to 1,070 days in treatments, which received organic matter inputs, alone or in combination with mineral N fertiliser; and in controls fertilised with mineral N. The original results appeared in 46 articles published between 1993 and 2022 in peer-reviewed scientific journals, as well as a project report, and a PhD thesis.

opencc-zeroNov 2021View details →

A multi-species approach to manage effects of land cover and weather on upland game birds

Loss and degradation of grasslands in the Great Plains region has resulted in major declines in abundance of grassland bird species. To ensure future viability of grassland bird populations, it is crucial to evaluate specific effects of environmental factors among species to determine drivers of population decline and develop effective conservation strategies. We used threshold models to quantify effects of land cover and weather changes on lesser and greater prairie-chickens (Tympanuchus pallidicinctus and T. cupido, respectively), northern bobwhites (Colinus virginianus), and ring-necked pheasants (Phasianus colchicus). We demonstrated a novel approach for estimating landscape conditions needed to optimize abundance across multiple species at a variety of spatial scales. Abundance of all four species was highest following wet summers and dry winters. Prairie-chicken and ring-necked pheasant abundance was highest following cool winters, while northern bobwhite abundance was highest following warm winters. Greater prairie-chicken and northern bobwhite abundance was also highest following cooler summers. Optimal abundance of each species occurred in landscapes that represented a grassland and cropland mosaic, though prairie-chicken abundance was optimized in landscapes with more grassland and less edge habitat than northern bobwhites and ring-necked pheasants. Because these effects differed among species, managing for an optimal landscape for multiple species may not be the optimal scenario for any one species.

opencc-zeroApr 2022View details →

Future-proofing the koala: synergizing genomic and environmental data for effective species management

Climatic and evolutionary processes are inextricably linked to conservation. Avoiding extinction in rapidly changing environments often depends upon a species' capacity to adapt in the face of extreme selective pressures. Here, we employed exon capture and high-throughput next-generation sequencing to investigate the mechanisms underlying population structure and adaptive genetic variation in the koala (Phascolarctos cinereus), an iconic Australian marsupial that represents a unique conservation challenge because it is not uniformly threatened across its range. An examination of 250 specimens representing 91 wild source locations revealed that five major genetic clusters currently exist on a continental scale. The initial divergence of these clusters appears to have been concordant with the Mid-Brunhes Transition (∼ 430–300 kya), a major climatic reorganization that increased the amplitude of Pleistocene glacial-interglacial cycles. While signatures of polygenic selection and environmental adaptation were detected, strong evidence for repeated, climate-associated range contractions and demographic bottleneck events suggests that geographically isolated refugia may have played a more significant role in the survival of the koala through the Pleistocene glaciation than in situ adaptation. Consequently, the conservation of genome-wide genetic variation must be aligned with the protection of core koala habitat to increase the resilience of threatened populations to accelerating anthropogenic threats. Finally, we propose that the five major genetic clusters identified in this study should be accounted for in future koala conservation efforts (e.g. guiding translocations), as existing management divisions in the states of Queensland and New South Wales do not reflect historic or contemporary population structure.

opencc-zeroOct 2022View details →

Data for: Direct and indirect effects of management and landscape on biological pest control and crop pest infestation in apple orchards

Biological pest control, relying on naturally occurring predator-prey dynamics, is considered a key element to achieve more sustainable farming systems. However, the combined effects of local management and landscape factors on communities of natural enemies as well as the cascading effects on pest infestations are rarely addressed, especially in perennial crops. Here, we used Piecewise Structural Equation Modelling (PSEM) to test direct and indirect effects of landscape composition, landscape configuration and local management practices on natural enemy communities, the pest control services they provide and ultimately on pest infestation and pest-related yield damage in apple crops. To this end, we surveyed 12 organic and 12 Integrated Pest Management (IPM) orchards during three consecutive years, and we also established a semi-natural benchmark to quantify the extent to which predator communities in the orchards were degraded. Natural enemies had a different community composition and were more abundant in organic orchards compared to IPM orchards. This had a small and positive effect on sentinel egg predation rates in organic orchards, but overall had very little impact on actual apple pest infestation. On the contrary, apple pest infestation levels were directly and positively affected by organic management practices and by increasing semi-natural habitat cover and landscape edge density. Compared to a semi-natural benchmark, both agricultural management systems showed degraded predator communities, which translated into an impaired delivery of biological control services. Synthesis and applications. Our results indicate that organic management and habitat conservation can enhance natural enemies and stimulate pest control, but also show that these factors can enhance pest infestations and can even lead to an overall increase in pest-related crop damage. Our study thus highlights the complex interplay of ecosystem services and disservices provided by biodiversity, which should be taken into account when advising farmers, policy makers and land managers on effective and sustainable strategies to control pest species and safeguard crop production.

opencc-by-4.0May 2024View details →

Resources for BMF CP72: The effectiveness of knowledge management systems in motivation and satisfaction in Vietnamese higher education institutions

Code and data for reproducing the results in "BMF CP72: The effectiveness of knowledge management systems in motivation and satisfaction in Vietnamese higher education institutions" are available here.

opencc-by-4.0Mar 2013View details →

Fig. 7 in Ecophysiological responses to the effect of annual management on an endemic viviparous fish in central plateau of México

Fig. 7. Bimonthly energy expenditure during cycles of mexcalpique nictemeral in San Martin.

opencc-by-4.0Mar 2013View details →

Fig. 1. Environmental parameters during a in Ecophysiological responses to the effect of annual management on an endemic viviparous fish in central plateau of México

Fig. 1. Environmental parameters during a hydrological cycle in San Martín Dam.

opencc-by-4.0Jan 2018View details →

Effect size data for the meta-analysis article ""Effects of vegetation management intensity on biodiversity and ecosystem services in vineyards: a meta-analysis"

This Exel file includes the effect size dataset used for the statistical analysis for the paper "Effect of vegetation management intensity on biodiversity and ecosystem services in vineyards: a meta-analysis", which will be published in the Journal of Applied Ecology in 2018. This meta-analysis was conducted in the course of the project VineDivers (<a href="http://www.vinedivers.eu/">www.vinedivers.eu</a>) funded through the 2013-2014 BiodivERsA/FACCE-JPI joint call for research proposals, with the national funders: Austrian Science Fund (FWF), Spanish Ministry for Economy and Competitiveness (MINECO), French National Research Agency (ANR), Romanian Executive Agency for Higher Education, Research, Development and Innovation Funding (UEFISCDI) and Federal Ministry of Education and Research (BMBF/Germany). P. Batáry was supported by the German Research Foundation (DFG BA4438/2-1) and by the Economic Development and Innovation Operational Programme of Hungary (GINOP–2.3.2–15–2016–00019).

Table 3 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy

Table 3. Heights of S. altissima before mowing in September 2019.<table><tbody><tr><th>Site</th><th>Control</th><th>Mowing 1</th><th>Mowing 2</th><th>Mowing 3</th></tr></tbody><tbody><tr><th>Site 1</th><td>168.0 ± 3.27a</td><td>64.0 ± 3.32c</td><td>100.5 ± 9.14b</td><td>67.5 ± 3.1c</td></tr><tr><th>Site 2</th><td>192.0 ± 11.3a</td><td>79.0 ± 4.07c</td><td>111.0 ± 6.9b</td><td>73.0 ± 7.61c</td></tr><tr><th>Site 3</th><td>159.0 ± 4.99a</td><td>123.0 ± 7.12b</td><td>84.5 ± 5.89c</td><td>47.0 ± 2.71d</td></tr><tr><th>Site 4</th><td>190.0 ± 2.98a</td><td>102.0 ± 3.89b</td><td>112.5 ±8.07b</td><td>62.0 ± 5.33c</td></tr><tr><th>Site 5</th><td>217.0 ±10.23a</td><td>87.5 ± 4.9c</td><td>137.0 ± 4.96b</td><td>62.5 ± 3.1d</td></tr><tr><th>Site 6</th><td>177.5 ± 6.76a</td><td>97.5 ± 5.44c</td><td>120.5 ± 4.97b</td><td>60.0 ± 2.58d</td></tr><tr><th>Site 7</th><td>143.5 ± 12.2a</td><td>81.0 ± 2.77b</td><td>138.5 ± 3.5a</td><td>62.0 ± 4.67b</td></tr></tbody></table>* Mowing 1: mowed once in July; Mowing 2: mowed twice in May and September; Mowing 3: mowed three times in May, July, and September. Data are presented as means ± standard errors of 10 replicates. Means within a row followed by different letters are significantly different at p <0.05 (ANOVA with post hoc Tukey’s test). Units: cm.

Table 2 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy

Table 2. Heights of S. altissima before mowing treatment in May 2019.<table><tbody><tr><th>Site</th><th>Control</th><th>Mowing 1</th><th>Mowing 2</th><th>Mowing 3</th></tr></tbody><tbody><tr><th>Site 1</th><td>101.0 ± 3.2a</td><td>101.0 ± 3.0a</td><td>81.1 ± 2.6b</td><td>64.9 ± 3.1c</td></tr><tr><th>Site 2</th><td>116.5 ± 4.7a</td><td>111.8 ± 4.7a</td><td>82.9 ± 4.1b</td><td>72.5 ± 6.6b</td></tr><tr><th>Site 4</th><td>89.1 ± 2.2a</td><td>74.8 ± 2.2b</td><td>49.5 ± 3.1d</td><td>59.8 ± 1.6c</td></tr><tr><th>Site 5</th><td>93.5 ± 2.5a</td><td>99.5 ± 2.3a</td><td>78.0 ± 2.0b</td><td>77.1 ± 2.0b</td></tr><tr><th>Site 6</th><td>125.3 ± 5.2a</td><td>117.0 ± 3.0a</td><td>86.5 ± 3.0c</td><td>105.0 ± 3.4b</td></tr><tr><th>Site 7</th><td>123.3 ± 3.3a</td><td>119.3 ± 2.9ab</td><td>111.3 ± 2.8bc</td><td>110.3 ± 3.1c</td></tr><tr><th>Site 8</th><td>96.0 ± 4.0a</td><td>94.5 ± 4.1ab</td><td>84.5 ± 3.3bc</td><td>81.0 ± 3.1c</td></tr></tbody></table>* Mowing 1: mowed once in July; Mowing 2: mowed twice in May and September; Mowing 3: mowed three times in May, July, and September. Data are presented as means ± standard errors of 10 replicates. Means within a row followed by different letters are significantly different at p <0.05 (ANOVA with post hoc Tukey’s test). Units: cm.

Table 1 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy

Table 1. Heights of dead shoots of S. altissima after 1 year of treatment in April 2019.<table><tbody><tr><th>Site</th><th>Control</th><th>Mowing 1</th><th>Mowing 2</th><th>Mowing 3</th><th>Eco 200</th></tr></tbody><tbody><tr><th>Site 1</th><td>162.8 ± 6.62a</td><td>85.7 ± 5.52b</td><td>29.5 ± 2.74c</td><td>21.3 ± 2.09c</td><td>77.9 ± 8.94b</td></tr><tr><th>Site 2</th><td>213.2 ± 12.08a</td><td>87.1 ± 7.33c</td><td>38.4 ± 2.17d</td><td>29.0 ± 2.01d</td><td>144.8 ± 9.57b</td></tr><tr><th>Site 3</th><td>163.4 ± 7.31a</td><td>66.3 ± 4.55c</td><td>40.7 ± 2.57d</td><td>33.4 ± 2.11d</td><td>143.4 ± 7.13b</td></tr><tr><th>Site 4</th><td>191.6 ± 3.84a</td><td>160.8 ± 7.90b</td><td>59.2 ± 1.66d</td><td>81.9 ± 6.50c</td><td>166.9 ± 12.33b</td></tr><tr><th>Site 5</th><td>181.7 ± 4.76a</td><td>114.7 ± 2.90b</td><td>89.5 ± 10.23c</td><td>46.6 ± 5.12d</td><td>183.8 ± 9.00a</td></tr><tr><th>Site 6</th><td>174.8 ± 4.34a</td><td>82.9 ± 4.49c</td><td>39.7 ± 2.51d</td><td>31.6 ± 2.47d</td><td>153.3 ± 3.12b</td></tr><tr><th>Site 7</th><td>165.5 ± 4.79a</td><td>91.2 ± 6.02b</td><td>64.7 ± 3.24c</td><td>44.0 ± 3.67d</td><td>153.8 ± 7.25a</td></tr></tbody></table>* Mowing 1: mowed once in July; Mowing 2: mowed twice in May and September; Mowing 3: mowed three times in May, July, and September; Eco 200: 30% of shoots in the quadrats were cut near the ground, and the cut surfaces were covered with the Eco 200 block. Data are presented as means ± standard errors of 20 replicates. Means within a row followed by different letters are significantly different at p <0.05 (ANOVA with post hoc Tukey’s test). Units: cm.

Table 4 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy

Table 4. Change in areas occupied by S. altissima in patch-type communities from March 2018 to March 2019.<table><tbody><tr><th>Control</th><th>Mowing 3</th><th>Eco 20%</th><th>Eco 100%</th></tr></tbody><tbody><tr><th>205.2 ± 107.3</th><td>24.7 ± 44.0</td><td>104.5 ± 85.2</td><td>− 31.7 ± 13.0</td></tr></tbody></table>Mowing 3: mowed three times in May, July, and September; Eco 20%: 20% of shoots were mowed and treated with Eco 200; Eco 100%: 100% of shoots were mowed and treated with Eco 200. Data are presented as means ± standard errors of six replicates.

opencc-by-4.0Oct 2024View details →

Leveraging Digital Transformation for Effective Issue Management as a Strategy to Strengthen Corporate Image

Leveraging Digital Transformation for Effective Issue Management as a Strategy to Strengthen Corporate Image by Wiwi Lestari, Adhi Murti, Nisrin Husna

opencc-zeroJun 2021View details →

Data from: Direct and indirect effects of landscape and field management intensity on carabids through trophic resources and weeds

Carabids are important biological control agents of weeds and other pests in agricultural fields. The carabid community is built upon direct and indirect ecological effects of landscape complexity, field management intensity and biotic components that in interaction make any prediction of community size and composition challenging. We analyse a large-scale sample of 60 European cereal fields using Structural Equation Modelling to quantify the direct effects of field management intensity and the surrounding landscape, and their indirect effect via biotic components, on carabid diversity. Our results highlight that direct and indirect effects of increasing landscape complexity, mediated by trophic resources, mainly affect carabids positively. Field management intensity only ever affects carabids through indirect effects that are generally negative, by suppressing standing weeds and weed seeds. Indirect effects on granivore carabid species depended on weed seed availability whereas omnivores depended on the availability of both weed seeds and animal prey. Synthesis and applications: A consideration of both the direct and indirect effects of landscape and field management is necessary for predicting carabid communities and with interactions. These effects, mediated via trophic resources, supports the diversity and abundance of carabid communities and their provision of ecosystem services. Our results show that promoting crop diversity and connectivity to semi-natural habitats will directly enhance carabid communities in farmland by manipulating their migration from source habitats. A reduction in field management intensity will preserve local standing weeds and weed seeds, and indirectly support carabid communities. These local and landscape modifications could contribute to improve the natural regulation of pests and weeds by carabids.

opencc-zeroApr 2020View details →

Data from: Simulating effects of fitness and dispersal on the use of Trojan sex chromosomes for invasive species management

<ol> <li>The use of Trojan Y Chromosomes (TYC) for controlling invasive species involves manipulating the sex chromosomes of captive-raised individuals. Once released, the offspring of these individuals consist of only one sex, thereby skewing the sex-ratio of the invasive population and potentially leading to eradication. Simulation models are needed that can inform managers on how to maximize the likelihood of species eradication, since implementation of this novel management approach in the field is still rare.</li> <li>Here, we present the first spatially explicit, mechanistic simulation model of a real-world TYC program for invasive species eradication. Using a brook trout (Salvelinus fontinalis) system model, we investigated the effects of competitive and reproductive fitness of the captive-raised YY males, dispersal behavior upon their release, and landscape heterogeneity on eradication success.</li> <li>Likelihood of eradication was dependent on both the competitive and reproductive fitness of the Trojan individuals. Competitive fitness (i.e., survival) had a higher threshold for eradication, below which populations failed to be eradicated.</li> <li>Movement ecology of both the wild and YY male populations was important for eradication. Under a restricted dispersal scenario for YY males following their release, the wild population was not extirpated but maintained a stable, yet reduced, population size. In terms of landscape configuration, time to eradication of local patches increased with greater connectivity within the stream network.</li> <li>In addition to sex ratio distortion, density-dependent mortality resulting from outplantings made an important contribution to eradication and therefore may also affect native competitors.</li> <li>While our results indicate that eradication is possible, maximizing its likelihood requires an understanding of the fitness and movement ecology of both the wild and YY male populations of the invasive species. Both our model and the principles derived from this study related to fitness and behavioral landscape ecology can be broadly applied to other invaded species and systems.</li> </ol>

opencc-zeroJul 2021View details →

Biodiversity effects on grape quality depend on variety and management intensity

Interactions between plants can be beneficial, detrimental or neutral. In agricultural systems competition between crop and spontaneous vegetation is a major concern. We evaluated the relative support for three non-exclusive ecological hypotheses about interactions between crop and spontaneous plants based on competition, complementarity or facilitation. The study was conducted in Swiss vineyards with different vegetation management intensities. Thirty-three vineyards planted with two different grape varieties were studied over 3 years to determine whether low-intensity vegetation management might provide benefits for grape quality parameters. Management intensity varied with the degree of control of spontaneous inter-row vegetation. Features of spontaneous vegetation measured included total cover, total species richness and abundance of nitrogen fixing plants. Grape quality parameters of known importance to wine-making (yeast assimilable nitrogen, sugars, tartric acid, and malic acid) were determined by Fourier-transform infrared spectroscopy (FTIR). Using structural equation modeling, we evaluated hypotheses about the multivariate responses of grape quality parameters as well as the direct and indirect (plant-mediated) effects of management. Observed effects of management differed between grape varieties. Management intensity and abundance of N-fixing plants significantly influenced grape quality parameters, while total richness of spontaneous plants did not have detectable effects. Abundance of N-fixing plants was enhanced by low-intensity management resulting in increased N content in the red grape variety (Pinot noir), potentially enhancing grape quality, while measured soil N content did not explain the increase. Synthesis: Our study shows that crop quality can be enhanced by spontaneous plants, in this case by the abundance of a key functional group (N-fixers), most likely through plant-plant or plant-microbe facilitation. However, beneficial interactions may have a high specificity in terms of facilitation partners and may have contrasting effects at low taxonomic resolutions such as crop varieties. Generally increasing plant biodiversity in agricultural systems may increase competition with crops. Thus, the identification of suitable interaction partners and a careful balance between crop variety and spontaneous plant species may be necessary to utilize beneficial interactions and to reduce the trade-off between agricultural production and biodiversity to achieve a sustainable ecological benefit in agricultural systems.