Filter Results
50 results
- Data for: Soil carbon density can increase when Australian savanna is converted to pasture, but may not change under intense cropping systemsTwo datasets from the Douglas-Daly and the South Katherine agricultural regions of the Northern Territory, Australia. Both datasets provide savanna woodland soil profile data, as well as a young and old agricultural land-use systems that have replaced savanna woodland ecosystems. In Douglas-Daly, there are young and old pasture systems; in South Katherine there are young and old fields of Melon cropping
- Dataset
- Data for: Direct and indirect effects of fragmentation on seed dispersal in an agro-ecological landscapeA dataset to accompany the article titled "Direct and indirect effects of fragmentation on seed dispersal in an agro-ecological landscape"
- Dataset
- Data for: Neonicotinoid use on cereals and sugar beet is linked to continued low exposure risk in honeybeesConcentrations of neonicotinoids in honey samples from GB from 2014 to 2017 including metabarcoding data on host plants fed upon by the bees during the production of that honey.
- Dataset
- Data for: Biomass and carbon stocks of organic and conventional cocoa agroforests, GhanaData in brief associated with the article "Biomass and carbon stocks of organic and conventional cocoa agroforests, Ghana".
- Dataset
- Data for: Stimulating ground arthropods modestly enhances nutrient cycling in conventionally managed corn fieldsThese data were collected from conventionally managed, tilled, corn fields in northwest Ohio. The data include ground arthropod abundance, microbial abundance, extracellular enzymes, and nitrogen and phosphorus nutrient pools. See associated paper for more details on data collection and sites. The spreadsheet includes a tab that describes the meaning of columns names.
- Dataset
- Data for: Ant biodiversity and ecosystem services in bioenergy landscapesData associated with the paper "Ant biodiversity and ecosystem services in bioenergy landscapes" by JA Helms, S Ijelu, BD Wills, DA Landis, and NM Haddad. Contains data about pitfall trap effort, ants collected in traps, and pest insect mortality across three bioenergy experiments at KBS LTER.
- Dataset
- Data for: Spread and impact of fall armyworm (Spodoptera frugiperda J.E. Smith) in maize production areas of KenyaData were collected during a community survey in 2018. The survey was designed to mirror the maize lethal necrosis (MLN) survey of 2013 (De Groote et al., 2016). Thus, the same 121 communities that were interviewed in 2013 were targeted. These communities were randomly selected to represent the six main maize production areas in Kenya. The main purpose of the community survey was to assess farmer prioritization of various stresses and to measure the impact of these for the Stress Tolerant Maize for Africa (STMA) project. Prioritization is especially important due to the arrival of new pest problems, in particular the larger grain borer (LGB), MLN disease and the current fall armyworm (FAW). Data were collected through focus group discussions (FGDs). CIMMYT contracted Agri-Food Economics Africa, a research company based in Kenya, to undertake the study. Since the community survey dealt with biotic and abiotic stresses, it was important to have pictures that represented the various biotic stresses (insect pests and diseases) so that the farmers could recognize the specific pest that they were being asked about. In addition, the photos were important in helping to gauge farmers’ awareness of the fall armyworm. CIMMYT entomologists assisted in gathering these pictures and in refining the descriptions of the various stresses. The data contain the identification and location variables for the communities, including administrative units, GPS, agroecological zone. Next, observations on FAW are included, in particular when FAW was first observed, the number of farmers affected, the relative crop loss (%) of those affected and over all farmers, and this for the last three seasons. Finally, the number of male and female participants are included. Variable name Variable label cid Community Identification number AEZ Agroecological zones, codes county County name subcounty District name division Division name location Location name village Village name Fawobsrve_1st_comm Year FAW first observed faw_obs_mar18_comm Was FAW observed during March 2018 planting season in this community? faw_obs_oct17_comm Was FAW observed during Oct 2017 planting season in this community? faw_obs_mar17_comm Was FAW observed during March 2017 planting season in this community? faw_affctd2018_comm Percentage of affected farmers in the community March 18 planting sea faw_ydrd2018_comm Yield reduction farmers affected March 18 planting season faw_affctd_oct2017_comm Percentage of affected farmers in the community October 2017 planting faw_affctd_march2017_comm Percentage of affected farmers in the community March 2017 planting s faw_ydrd_march2017_comm Yield reduction farmers affected March 2017 planting season faw_ydrd_oct2017_comm Yield reduction farmers affected October2017 planting season Yield_lossM2018 Yield loss March 2018 Yield_lossMoct2017 Yield loss Oct 2017 Yield_lossMarch2017 Yield loss March 2017 total_part Total number of participants
- Dataset
- Data for: Insect pollination is the weakest link in the production of a hybrid seed cropData on stem circumference, nectar production, pollinator visitation rates and marketable seed yield of three genetic lines of leek hybrid seed production under conventional and reduced treatments of fertilisation, irrigation and pollination.
- Dataset
- Data for: Temporary non-crop habitats within arable fields: the effects of field defects on carabid beetle assemblagesSeidl et al.: Temporary non-crop habitats within arable fields: the effects of field defects on carabid beetle assemblages
- Dataset
- Data for: Landscape and climatic factors driving spatiotemporal abundance of Lygus lineolaris (Hemiptera: Miridae) in cotton agroecosystemsRaw data for Lygus bugs sampled in 56 Virginia (U.S.A.) cotton fields over nine-weeks in 2017 and 2018 using two sampling techniques: sweep net and drop cloth sampling. The number of adults and nymphs were recorded per field per sampling week. Four data points were recorded for each sampling technique per field visit. Plant measurements and injury assessments were recorded when applicable and were averaged from 10 to 20 plants per field including total nodes, nodes above white flower (NAWF), plant height, square retention and "dirty bloom." Landscape (NASS-Cropscape Data Layer) and climate data (Daymet) of interest within specified buffers (0.75, 1.5, 3.0 km) surrounding sampled fields were extracted using GIS software.
- Dataset
1