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96 results for “Agroforestry”
Data set supporting journal article: Markwitz, C., Knohl, A. and Siebicke, L.: "Evapotranspiration over agroforestry sites in Germany", Biogeosciences, 2020
<p>This data set contains all necessary data needed to replicate figures and analysis presented in the research article: Markwitz, C., Knohl, A. and Siebicke, L.: "Evapotranspiration over agroforestry sites in Germany", Biogeosciences, 2020.</p> <p>In detail, this data set contains 1) meteorological data and half-hourly evapotranspiration rates obtained by a conventional eddy covariance set-up, a low-cost eddy covariance set-up and an energy balance eddy covariance set-up for measurement campaigns of approximately four weeks duration (*_Fluxes_Campaigns_*); 2) raw data to recalculate flux footprints for the campaigns of approximately four weeks duration (*_Campaign_Footprints_*) and for the whole year (*_Annual_Footprints_*); 3) half-hourly evapotranspiration rates obtained by a low-cost eddy covariance set-up and an energy balance eddy covariance set-up gap-filled and corrected for energy balance closure (*_Fluxes_Annual_*). The data were collected at five agroforestry systems and five monoculture agriculture systems without trees across Northern Germany. </p>
Annotated checklist of the beetles of chestnut agroforestry systems in Aspromonte, Southern Italy
<p>The checklist contains 255 species of beetles which belong to 49 families. The species were collected during a field study carried out in the years 2017 and aimed at describing the community of beetles. The collection methods consisted of window flight traps. The study area included 3 sites, two coppice stands, young and mature (38.180221 N, 15.784308 E), and a traditional fruit orchard (38.06018 N, 15.781616 E), located in the Italian Southern Apennines on the borders of the Aspromonte National Park.</p> <p>The checklist is annotated with information on the taxonomy of the species (order and family), number of individuals, locality, habitat type (following EUNIS habitat classification 2017), sampling protocol, collector name, specialist name, IUCN Red List categories of the saproxylic species (Carpaneto et al. 2015). </p> <p>The terms used for the dataset fields follows the Darwin Core Maintenance Group. 2020. List of Darwin Core terms. Biodiversity Information Standards (TDWG). <a href="https://dwc.tdwg.org/list/">https://dwc.tdwg.org/list/</a></p> <p>The Diversity of saproxylic beetle communities have been analysed and published (Parisi et al. 2020).</p> <p>The harmonization of the dataset to the point of view of taxa, authorship, LSID and the massive upgrading of the related identifiers in Zenodo record was performed by the use of R script using respectively dplyr, taxize (Chamberlain and Szöcs, 2013) and zen4r (Blondel and Barde, 2020) packages.</p>
Accompanying dataset; 'Agroforestry enhances biological activity, diversity and soil-based ecosystem functions in mountain agroecosystems of Latin America: A meta-analysis.'
<p>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. </p><p>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 "<i>Agroforestry Enhances Biological Activity, Diversity, and Soil-Based Ecosystem Functions in Mountain Agroecosystems of Latin America: A Meta-Analysis</i>."</p>
Data and Supplementary Information : timber ressource dynamics in West African cocoa agroforestry systems
<p>Here we present three datasets (growthDB.csv, heightDB.csv and volumeDB.csv) describing 59 tree species used for wood production in cocoa Agroforestry System (AFS) in Côte d'Ivoire (West Afica). Our dataset includes a total of 4,634 trees: 2530 spontaneous and 2104 (trans)planted. </p> <p>We provide three table (per datasets in .csv format) with the following column per tree:</p> <p>- gensp: species latin names</p> <p>- dbh : tree diameter at breast height (cm)</p> <p>- age: tree age (years)</p> <p>- origin: tree origin (spontaneous or (trans)planted)</p> <p>- WDmean : tree wood density (g.cm³)</p> <p>- clus: study sites</p> <p>- indsp : species index</p> <p>- indclus : sites index</p> <p>- hlog: tree bole height (m)</p> <p>- vol : tree bole volume (m³)</p> <p>We also provide, the STAN code (models.stan) to assess the wood production potential of trees in cocoa AFS: (i) a model describing the diameter growth trajectories of trees as a function of their age, (ii) a model evaluating the relationship between tree diameter and bole height, and (iii) a model assessing the commercial volume of trees as a function of their diameter and bole height.</p> <p>Finally, we present additional tables and figures in Supplementary Information.pdf.</p>
Data from: Lower-cost eddy covariance for CO2 and H2O fluxes over grassland and agroforestry
<p>This datasets contains eddy covariance fluxes calculated with EddyPro, average (co)spectra from EddyPro and meteorological data from the measurement campaigns conducted in Mariensee, Lower Saxony (Germany) in 2020 and 2021. The results were presented in the paper "Lower-cost eddy covariance for CO2 and H2O fluxes over grassland and agroforestry"; <a href="https://doi.org/10.5194/amt-2024-30">https://doi.org/10.5194/amt-2024-30</a>. </p> <p>For more information on the data see the accompanying paper. Note that the eddy covariance data are not filtered, quality checked or gap-filled in these files!</p>
Fig. 1 in Habitat selection of the roe deer Capreolus capreolus (Artiodactyla: Cervidae) in an agroforestry system
Fig. 1 - Study area: Vallevecchia (Venice). The walked transects (T1 to T6) are highlighted in red. / Area di studio: Vallevecchia (Venezia). I transetti percorsi (da T1 a T6) sono evidenziati in rosso.
Fig. 2 in Small mammals from barn owl Tyto alba pellets in a Mediterranean agroforestry landscape of central Italy
Fig. 2 - Dendrogram of similarity based on species frequency (algorithm: Paired group - UPGMA, Euclidean similarity index). / Dendro- gramma di similarità basato sulla frequenza di specie (algoritmo: gruppi appaiati - UPGMA, indice di similarità euclidea). Sites: / Siti: A) Roccaccia. B) Riminino. C) Ripagretta. D) San Giorgio. E) Montericcio.
Fig. 1 in Small mammals from barn owl Tyto alba pellets in a Mediterranean agroforestry landscape of central Italy
Fig. 1 - The study area. Circles and letters (A-E) show the five investigated sites. / Area di studio. I cerchi e le lettere (A-E) indicano i cinque siti studiati.
Fig. 3 in Small mammals from barn owl Tyto alba pellets in a Mediterranean agroforestry landscape of central Italy
Fig. 3 - Detrended Correspondence Analysis. / Analisi delle Corrispondenze 'Detrended' Sites: / Siti: A) Roccaccia; B) Riminino; C) Ripagretta; D) San Giorgio; E) Montericcio. Species: / Specie: Sunetr: Suncus etruscus; Sorsam: Sorex samniticus; Crosua: Crocidura suaveolens; Croleu: Crocidura leucodon; Musave: Muscardinus avellanarius; Arvita: Arvicola italicus; Micsav: Microtus savii; Aposyl: Apodemus cfr. sylvaticus; Musdom: Mus domesticus; Ratrat: Rattus rattus; Ratnor: Rattus norvegicus.
Data set supporting journal article: Markwitz, C. and Siebicke, L.: "Low-cost eddy covariance: a case study of evapotranspiration over agroforestry in Germany", Atmos. Meas. Tech., 2019
<p>This data set contains evapotranspiration data obtained by a conventional eddy covariance set-up and a low-cost eddy covariance set-up as described in the research article: Markwitz, C. and Siebicke, L.: "Low-cost eddy covariance: a case study of evapotranspiration over agroforestry in Germany", Atmos. Meas. Tech., 2019.</p> <p>The data set contains all necessary data needed to replicate figures and analysis presented in the research article. The data sets are sorted and named according to the figure the data were used for. </p>
Fig. 2. A in Helminth communities of sigmonontine rodents in cocoa agroforestry systems in Brazil
Fig. 2. A bipartite network analysis indicating the sigmodontine rodents – helminths associations in nine agroforestry farms, Ilhéus, state of Bahia, Brazil.
Fig. 2 in Helminths of sigmodontine rodents in an agroforestry mosaic in the Brazilian Atlantic Forest: Patterns and processes of the metacommunity structure
Fig. 2. Ordinated matrices for the helminths metacommunity at Pratigi Environmental Protection Area, municipality of Igrapiúna, state of Bahia, northeast Brazil. A) Infracommunities and B) Component Communities.
Fig. 1 in Helminths of sigmodontine rodents in an agroforestry mosaic in the Brazilian Atlantic Forest: Patterns and processes of the metacommunity structure
Fig. 1. The bipartite network analysis illustrating the rodent–helminth association at Pratigi Environmental Protection Area, municipality of Igrapiúna, state of Bahia, northeast Brazil. The brackets separate the rodent tribes.
Fig. 7 in Amphibians and reptiles of an agroforestry system in the Colombian Caribbean
Fig. 7. Similarity of amphibian richness between La Gloria project and others inventories in Caribbean lowlands. Humedales del Córdoba (Romero-Martínez and Lynch 2010); Montes de María and Ciénaga la Caimanera (Acosta-Galvis 2012b); El Botillero (Dueñez-Gómez et al. 2004); Ciénaga del Zapatosa (Medina-Rangel et al. 2011); Atlántico and north Bolivar (Cuentas et al. 2002); Montes de Oca (Galvis et al. 2011); Ranchería (Blanco-Torres et al. 2013); Urrá (Renjifo and Lundberg 1999); Los Besotes (Rueda-Almonacid et al. 2011a); Serranía de Coraza (Galván-Guevara and de la Ossa-Velásquez 2009); Universidad del Magdalena (Montes-Correa et al. 2015); Ensenada Neguanje (Rueda-Solano and Castellanos-Barliza 2010); Cerro de Murrucucú lowlands (Romero-Martínez et al. 2008).
Fig. 6 in Amphibians and reptiles of an agroforestry system in the Colombian Caribbean
Fig. 6. Bray-Curtis similarity dendrogram between habitats in la Gloria Project (RG = Red Gum, PTT = Pink Trumpet Tree, BW = Beechwood, T = Teak, NF = native forest, WL = wetland; BZ = built-up zones).
Fig. 8 in Amphibians and reptiles of an agroforestry system in the Colombian Caribbean
Fig. 8. Similarity of reptile richness between La Gloria project and others inventories in Caribbean lowlands. Humedales del Córdoba (Carvajal-Cogollo et al. 2); El Botillero (Dueñez-Gómez et al. 2004); Ciénaga del Zapatosa (Medina-Rangel et al. 2011); Montes de Oca (Galvis et al. 2011); Ranchería (Blanco-Torres et al. 2013); Urrá (Renjifo and Lundberg 1999); Los Besotes (Rueda-Almonacid et al. 2011b); Serranía de Coraza (Galván-Guevara and de la Ossa-Velásquez 2009); Universidad del Magdalena (Montes-Correa et al. 2015); Ensenada Neguanje (Rueda-Solano and Castellanos-Barliza 2010).
Fig. 5 in Amphibians and reptiles of an agroforestry system in the Colombian Caribbean
Fig. 5. Richness (a) and abundance (b) of amphibians and reptiles between habitats (RG = Red Gum, PTT = Pink Trumpet Tree, BW = Beechwood, T = Teak, NF = native forest, WL = wetland; BZ = built-up zones).
Fig. 1 in Amphibians and reptiles of an agroforestry system in the Colombian Caribbean
Fig. 1. Map of La Gloria Project (taken and modified from Refocosta 2012). Map developed by HD Granda-Rodríguez.
Four rainout shelters around a tree in a Walnut-Pea agroforestry system
<p>Rain exclusion device made of 4 mobile rainout shelters placed around a walnut (<em>Juglans regia x nigra</em>), to study drought resistance of pea (<em>Pisum sativum</em>) in agroforestry vs pure crop. In plot A2 of Domaine de Restinclières (coordinates: 43.704274 , 3.860958). Picture taken on 2019-04-01.</p>
Agroforestry system with Pine trees and grapevine (vitiforestry system)
<p>An agroforestry system with 4 rows of grapevine (<em>Vitis vinifera</em>) between rows of stone pine trees (<em>Pinus pinea</em>) in plot B7 of Domaine de Restinclières (France) (coordinates 43.724202 , 3.859748), grapevine and trees were planted in 1996. Picture taken on 2020-06-16</p>
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