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opencc-by-4.0Nov 2023View details →

Accompanying dataset; 'Agroforestry enhances biological activity, diversity and soil-based ecosystem functions in mountain agroecosystems of Latin America: A meta-analysis.'

The database created as part of the meta-analysis is designed to facilitate the comparison of biological activity, diversity (BIAD), and ecosystem functions (EFs) between agroforestry systems (AFS) and other land-use types. It incorporates data extracted from selected studies, each record comprising a mean value, sample size, and a variance measure to compute standard deviation. The database also categorizes data according to 22 explanatory variables, including geographical coordinates, climate classification, soil type, AFS classification, and more, to characterize the sites and management systems involved. This detailed classification enables a nuanced analysis of how different factors might influence the BIAD and EFs in the context of AFS. The database supports the meta-analysis by allowing for the estimation of effect sizes using response ratios, which compare the relative difference in BIAD and EFs between AFS and other land uses. Data extraction from primary studies was meticulous, employing both direct and indirect methods such as graph digitizing software, and missing data were supplemented using reliable sources or direct communication with the original study authors. The comprehensive nature of this database ensures that the analysis can account for a wide range of variables that may affect the outcomes of interest in the meta-analysis. For an in-depth exploration of the study's findings and methodology, refer to the comprehensive meta-analysis available in Global Change Biology (2024), entitled "Agroforestry Enhances Biological Activity, Diversity, and Soil-Based Ecosystem Functions in Mountain Agroecosystems of Latin America: A Meta-Analysis."

Agriculture - General: biological diversity 6

A database of tree of biological, cultural, ecological or historical interest because of their age, size or condition. National Biodiversity Data Centre (2016). Heritage Trees of Ireland. Occurrence dataset <a href="https://doi.org/10.15468/9athfc">https://doi.org/10.15468/9athfc</a> accessed via GBIF.org

Agriculture - General: biological diversity 4

The records in this dataset are general marine and coastal records of different taxonomic groups submitted to the National Biodiversity Data Centre. National Biodiversity Data Centre (2018). Coastal and Marine Species Database. Occurrence dataset <a href="https://doi.org/10.15468/oynwkx">https://doi.org/10.15468/oynwkx</a> accessed via GBIF.org

Agriculture - General: biological diversity 3

Data on the distribution of Irish CWR species. Data on key ITPGRA species were compiled in 2010 from the National Parks and Wildlife Service, the National Herbarium, and the National Vegetation Database. The database also includes recent CWR data collected under projects funded by DAFM (Genetic Heritage Ireland 2009-2010; and the National Biodiversity Data Centre 2011 & 2012). National Biodiversity Data Centre (2016). Irish Crop Wild Relative Database. Occurrence dataset <a href="https://doi.org/10.15468/lohime">https://doi.org/10.15468/lohime</a> accessed via GBIF.org

Agriculture - General: biological diversity

The records in this dataset are general records of different taxonomic groups submitted to the National Biodiversity Data Centre. This provides a temporary facility to store and make available data submitted to the Centre, until such time as subsets of the data can be added to a recognised national database. National Biodiversity Data Centre (2016). General Biodiversity Records from Ireland. Occurrence dataset <a href="https://doi.org/10.15468/w8q1jm">https://doi.org/10.15468/w8q1jm</a> accessed via GBIF.org

Agriculture - General: biological diversity 2

Agriculture - General: biological diversity 5

Dataset of Invasive species - initial compilation of aquatic invasive species National Biodiversity Data Centre (2016). National Invasive Species Database. Occurrence dataset <a href="https://doi.org/10.15468/pkjqbk">https://doi.org/10.15468/pkjqbk</a> accessed via GBIF.org

openCustomFeb 2018View details →

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Cellulosic Biofuels Diversity Experiment at the Kellogg Biological Station, Hickory Corners, MI (2006 to 2017)

Dataset Abstract The Cellulosic Biofuels Diversity Experiment is an additional long-term study located within the LTER Main Site complex, in which a series of 12 different cropping systems vary in species makeup and nitrogen input. Treatments include continuous corn, corn-soybean, two variations of switchgrass fertilized differently, a C3 – C4 grass mix, and prairie grasses native to Michigan with different numbers of species. Switchgrass varieties are Cave-in rock (commercial non-native) and Southlow commercial native). Prairie grasses include switchgrass (Panicum virgatum), big bluestem (Andropogon gerardii), little bluestem (Schizachyrium scoparium), and Indian grass (Sorghastrum nutans), Treatment plots are 9.1 by 27m (30 × 40 feet) replicated in each of 4 randomized blocks. The study site was established in 2008. Click on the image for a printable map of the study area. original data source http://lter.kbs.msu.edu/datasets/109

opencc-by-4.0Dec 2016View details →

Dataset supplementing Lichtenberg et al. (2017) A global synthesis of the effects of diversified farming systems on arthropod diversity within fields and across agricultural landscapes. Global Change Biology

This dataset contains data and scripts that supplement the publication Lichtenberg et al. (2017) A global synthesis of the effects of diversified farming systems on arthropod diversity within fields and across agricultural landscapes. Global Change Biology. DOI: 10.1111/gcb.13714 Please cite the above article if you use any of the included data or code. Files are described in README.md.

opencc-by-4.0Dec 2015View details →

Fig. 2 in Impact of food diversity on biological parameters of Apolygus lucorum (Hemiptera: Heteroptera: Miridae)

Fig. 2. Number (± SE) of Helicoverpa armigera eggs preyed upon by Apolygus lucorum for each instar. Bars topped by different lowercase letters represent means that are statistically different among different foods (1-way ANOVA followed by Tukey test, P <0.05).

Fig. 7 in The biology of an isolated Mashona mole-rat population from southern Malawi, with implications for the diversity and biogeography of the genus Fukomys

Fig. 7 Violin plots showing the distribution of growth parameters (A, K, I, and maximum growth rate) calculated separately for 73 individuals of Fukomys darlingi from the Nsanje population

Fig. 6 in The biology of an isolated Mashona mole-rat population from southern Malawi, with implications for the diversity and biogeography of the genus Fukomys

Fig. 6 Growth in captive Fukomys darlingi from the Nsanje population. Mean body mass (g) calculated weekly for individuals belonging to one of four groups based on sex and breeding status (non-breeding female NB, n = 27; breeding female B, n = 13; non-breeding male NB, n = 19; breeding male B, n = 13) over a period of 10 years. Gompertz growth parameters have been estimated for each individual separately, and thereafter, mean values have been calculated for each group. These parameters have been used for modelling the solid lines

Fig. 8 in The biology of an isolated Mashona mole-rat population from southern Malawi, with implications for the diversity and biogeography of the genus Fukomys

Fig. 8 Adult body mass distribution of Fukomys darlingi from Zimbabwe (nominate form, n =18) and southern Malawi (Nsanje form, n =96). Note the larger body mass and greater sexual dimorphism in animals from Nsanje. Data on F. darlingi individuals from Goromonzi were compiled from Bennett et al. (1994), Gabathuler et al. (1996), and Herbst and Bennett (2001); animals were deemed adult when identified as breeders or when being heavier as the same-sex breeder in the respective family. Nsanje mole-rats were classified as adults at an age of 18 months

Fig. 5 in The biology of an isolated Mashona mole-rat population from southern Malawi, with implications for the diversity and biogeography of the genus Fukomys

Fig. 5 Nuclear phylogeny of Fukomys mole-rats. MCC tree estimated from nuclear datasets of five genes. Tip labels are colour-matched with those shown in the range map and the mitochondrial tree (Figs. 1 and 4). Each tip name contains the sample ID, the name of the respective CYTB lineage, and in the case of samples from F. darlingi clade also the name of the collection locality

Fig. 8 in Diversity and biology of Spirometra tapeworms (Cestoda: Diphyllobothriidea), zoonotic parasites of wildlife: A review

Fig. 8. Map of the distribution of Spirometra spp. in the world (in yellow). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Fig. 4 in Diversity and biology of Spirometra tapeworms (Cestoda: Diphyllobothriidea), zoonotic parasites of wildlife: A review

Fig. 4. Microphotographs of Spirometra spp. from North and South America. A–C – Scolex and gravid proglottids of S. decipiens syntype from Puma concolor, Brazil (NMW 2682, 2699). D, E – gravid proglottids of S. decipiens syntype from Herpailurus yagouaroundi (NMW 12781). F–J – Gravid proglottids and sagittal section of S. decipiens hologenophore from Chrysocyon brachyurus, Bolivia (USNM 1233899). K–O – Scolex and proglottids of S. mansonoides syntype from Felis catus, USA (USNM 1333923). P – Immature proglottid of Spirometra sp. 2 hologenophore from Lynx rufus, USA Illinois (IPCAS C-987).

Fig. 7 in Diversity and biology of Spirometra tapeworms (Cestoda: Diphyllobothriidea), zoonotic parasites of wildlife: A review

Fig. 7. Microphotographs of Spirometra spp. and Dibothrium folium from Africa. A–D – Scolex, proglottids and sagittal section of S. theileri from Panthera leo, DR Congo material of Baer (1959) (RMCA 32316). E – Scolex of D. folium, type specimen (NMW No. 2616). F, G – Gravid proglottid and sagittal section of hologenophore from Panthera pardus, South Africa (IPCAS C-986). H, I – Gravid proglottid and sagittal section from P. pardus, Siera Leone (NHMUK 1924.6.12.116). J – Gravid proglottid from P. pardus, DR Congo (NHMUK 1934.12.18.51). K, P – Gravid proglottid and mounted specimen from Crocuta crocuta, Tanzania (NHMUK 1937.10.20.26–30). L, M – Gravid proglottid and sagittal section from P. leo (RMCA 32316). N, O – Gravid proglottid and sagittal section from P. pardus, DR Congo (1934.12.18.51–54). Q, R – Syntype slides of Diphyllobothrium theileri from Leptailurus serval, South Africa (MHNG-PLAT 40726). S – Syntype slide of Lueheella pretoriensis from Otocyon megalotis, South Africa (MHNG-PLAT 41517).

Fig. 6 in Diversity and biology of Spirometra tapeworms (Cestoda: Diphyllobothriidea), zoonotic parasites of wildlife: A review

Fig. 6. Line drawing of gravid proglottid of the neotype of Spirometra mansoni from Canis familiaris, Japan (IPCAS C-988), ventral view; note the shape of the ovary, which is long, with narrow lateral wings. Vitelline follicles and testes illustrated in one side of proglottids only, except for lateral-most and median-most vitelline follicles.

Fig. 5 in Diversity and biology of Spirometra tapeworms (Cestoda: Diphyllobothriidea), zoonotic parasites of wildlife: A review

Fig. 5. Microphotographs of Spirometra mansoni neotype from experimentally infected dog Canis familiaris, Japan. A – Whole unstained neotype. B, C – SEM photo of scolex and gravid proglottid. D – Whole mounts with part of neotype. E, F – Mature proglottids. G, H, K – Gravid proglottids. I, J – Sagittal section of gravid proglottid.