Social-ecological outcomes of agricultural intensification

Land-use intensification in agrarian landscapes is seen as a key strategy to simultaneously feed humanity and use ecosystems sustainably, but the conditions that support positive social-ecological outcomes remain poorly documented. We address this knowledge gap by synthesizing research that analyses how agricultural intensification affects both ecosystem services and human well-being in low- and middle-income countries. Overall, we find that agricultural intensification is rarely found to lead to simultaneous positive ecosystem service and well-being outcomes. This is particularly the case when ecosystem services other than food provisioning are taken into consideration

Dataset for Strong floristic distinctiveness across Neotropical successional forests: 2ndFOR species list for manuscript Jakovac et al 2022 SA

sThis dataset is part of the 2ndFOR network on secondary forests (www.2ndfor.com). It contains the list of tree species (dbh>=5cm) found in secondary forests younger than 21 years after abandonment, located in 75 landscapes across the Neotropics. All secondary forests were previously used as pasture and/or agriculture. This data supported the study Jakovac et al 2022. Strong floristic distinctiveness across Neotropical successional forests. Science Advances. More information on the data collection can be found in the publication. File "dataset_sppList.csv" contains for each site (called "landscape" as in the publication) the list of tree species found in secondary forest plots. The number of plots and area of plots sampled in each site varies. Such information is available upon request. File "dataset_predictors" conatains for each site (called "landscape" as in the publication) the values for the environmental predictors used in the final analyses. All values are averages of predictor values extracted for each vegetation plot wihtin a site. The description of the variables headings is below: [1,] "landscape" = site [2,] "lat_mean" = latitude of the site [3,] "long_mean" = longitude of the site [4,] "Age_mean" = average age of the secondary forests sampled in each site. Age is defined as the time since abandonment, and was derived from field intervirews or remote sensing. [5,] "CWD_mean" = climatic water deficit (J. Chave, Long term climatic water deficit, p. ., (available at https://chave.ups-tlse.fr/pantropical_allometry.htm). [6,] "HFP2009_mean" = human footprint for the year 2009 (O. Venter, E. W. Sanderson, A. Magrach, J. R. Allan, J. Beher, K. R. Jones, H. P. Possingham, W. F. Laurance, P. Wood, B. M. Fekete, M. A. Levy, J. E. M. Watson, Global terrestrial Human Footprint maps for 1993 and 2009. Sci. Data. 3, 1–10 (2016).) [7,] "MAP_mean" = mean annual precipitation from the Chelsea database [8,] "TS_mean" = temperature seasonality from the Chelsea database [9,] "bdod_mean" = soil bulk density from the SoilGrids database (kg/dm³) [10,] "cec_mean" = soil cation exchange capacity from the SoilGrids database (cmol(c)/kg) [11,] "clay_mean" = soil clay content from the SoilGrids database (%) [12,] "N_mean" = soil nitrogen content from the SoilGrids database (g/kg) [13,] "phh2o_mean" = pH in water from the SoilGrids database (pH) [14,] "sand_mean" = soil sand content from the SoilGrids database (%) [15,] "silt_mean" = soil silt content from the SoilGrids database (%) [16,] "elev_mean" = elevation from SRTM (J. J. Danielson, D. B. Gesch, “Global multi-resolution terrain elevation data 2010 (GMTED2010)” (2011), , doi:10.3133/ofr20111073.) [17,] "human_mod_mean" = human modification index (C. M. Kennedy, J. R. Oakleaf, D. M. Theobald, S. Baruch‐Mordo, J. Kiesecker, Managing the middle: A shift in conservation priorities based on the global human modification gradient. Glob. Chang. Biol. 25, 811–826 (2019).) [18,] "for_cover_5000_mean" = percentage of forest cover within 500m. Forest cover maps from Copernicus Global Land Cover Layer collection 3. M. Buchhorn, M. Lesiv, N.-E. Tsendbazar, M. Herold, L. Bertels, B. Smets, Copernicus Global Land Cover Layers—Collection 2. Remote Sens. 12, 1044 (2020)

High-Resolution Remote Sensing Data as a Boundary Object to Facilitate Interdisciplinary Collaboration

Native forest regrowth in degraded tropical landscapes is critical for biodiversity conservation, carbon sequestration, and human livelihoods. However, social and ecological drivers of reforestation have primarily been studied in separate disciplinary frameworks and at different spatial scales. In southwestern Panama, we found that scale mismatches between satellite data used to study land cover change, forest inventory plots used to study ecological dynamics, and household survey data used to study farmer behavior were a major impediment to our research goals. We overcame the challenges posed by scale mismatches by applying high-resolution remote sensing data to facilitate interdisciplinary research. We describe how our data sources enabled us to scale up ecological field data, present our research to stakeholders, and resolve discrepancies between data at different scales. High-resolution imagery can thus facilitate boundary crossing via cross-scale research on coupled natural-human systems

TRATAMIENTO SINDROMICO DE FLUJO VAGINAL EN GESTANTES ATENDIDAS EN EL CENTRO DE SALUD CHACAPUNCO ENERO A JUNIO 2017

TesisObjetivo: Determinar las características del tratamiento sindrómico de flujo vaginal. Metodología: El tipo de investigación es sustantiva, nivel descriptivo y diseño descriptivo simple. Se trabajó con una muestra censal de 30 gestantes que desarrollaron síndrome de flujo vaginal resultados: Las características encontradas en la edad fue edad mínima 17 años y la máxima 40 años, la mayoría presentó 23 años., el 53% son convivientes. Según el grado de instrucción, el 60% de las gestantes tienen primaria, el 47% son amas de casa, el 87% procede del área rural. Dentro de las características clínicas el 67% de las gestantes tienen abundante secreción, las características de las secreciones vaginales son el 67% presentan aspecto leche cortada, el 33% mal olor. Y los síntomas identificados fueron 60% disuria y prurito vulvar. Se encontró que el 60% de las gestantes atendidas tienen como diagnostico presuntivo trichomona y cándida. Las complicaciones encontradas fueron: amenaza de parto prematuro 60%, amenaza de aborto 27%. La respuesta al tratamiento sindrómico de flujo vaginal en gestantes el 73% de las gestantes se suministró el Metronidazol y al 87% con Clotrimazol. Conclusión: El tratamiento sindrómico de flujo vaginal con medicamentos resulto que el 83% de las gestantes fue efectivo y el 17% de las gestantes no fue efectivo. Palabras claves: Síndrome de flujo vaginal, tratamiento y gestantes