{"type": "FeatureCollection", "features": [{"id": "10.1007/s004420050619", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:14:24Z", "type": "Journal Article", "created": "2002-08-25", "title": "Soil Carbon And Nitrogen In A Pine-Oak Sand Plain In Central Massachusetts: Role Of Vegetation And Land-Use History", "description": "Over the last 150 years much of the landscape of eastern North America has been transformed from predominantly agricultural lands to forest. Although cultivation strongly affects important ecosystem processes such as biomass accumulation, soil organic matter dynamics, and nitrogen cycling, recovery of these processes after abandonment is insufficiently understood. We examined soil carbon and nitrogen pools and nitrogen dynamics for 16 plots on a central Massachusetts sand plain, over 80% of which had been cultivated and subsequently abandoned at least 40 years ago. The two youngest old-field forests, located on sites abandoned 40-60 years prior to our sampling, had the lowest mineral soil carbon content (0-15\u2009cm), 31% less than the average of unplowed soils. Soil carbon concentration and loss-on-ignition were significantly higher in unplowed soils than in all plowed soils, but these differences were offset by the higher bulk density in formerly plowed soils, leading to no significant differences in C content between plowed and unplowed soil. Soil C:N ratios were lower in formerly plowed soils (26.2) than in unplowed soils (28.0). While soil N content was not affected by land-use history or vegetation type, net N mineralization showed much greater variation. In situ August net nitrogen mineralization varied nearly 40-fold between stand types: lowest in pitch pine and white pine stands (-0.13 and 0.10\u2009kg\u2009N\u2009ha-1\u200928\u2009day-1), intermediate in scrub oak stands (0.48\u2009kg\u2009N\u2009ha-1\u200928\u2009day-1) and highest in aspen and mixed oak stands (1.34-3.11\u2009kg\u2009N\u2009ha-1\u200928\u2009day-1). Mineralization was more strongly related to present vegetation than to land-use history or soil N content. Appreciable net nitrification was observed only in the most recently abandoned aspen plot (0.82\u2009kg\u2009N\u2009ha-1\u200928\u2009day-1), suggesting that recent disturbance and residual agricultural lime stimulated nitrification. Carbon:nitrogen ratios increased and pH declined with stand age. Higher bulk density, lower loss-on-ignition and C:N ratios, and slightly lower C concentrations in the surface mineral soil are the persistent legacies of agriculture on soil properties. Short-term agricultural use and the low initial C and N concentrations in these sandy soils appear to have resulted in less persistent impacts of agriculture on soil C and N content and N cycling.", "keywords": ["0106 biological sciences", "soil-properties", "Forests", "Environmental-Sciences)", "01 natural sciences", "nitrogen", "variation-", "Soil", "Quercus", "soil-nitrogen", "nitrogen-", "cultivation-", "cycling-", "soil-organic-matter", "vegetation-history", "sandy-soils", "soil-carbon", "2. Zero hunger", "7440-44-0: CARBON", "carbon-", "pines-", "Soil-studies", "land-use-history", "04 agricultural and veterinary sciences", "pine-oak-sand-plain", "Chemistry", "North-America", "Nearctic-region)", "Massachusetts", "agricultural-practice", "biomass-production", "trees-", "7727-37-9: Nitrogen", "nitrification-", "United-States", "forests-", "Agricultural ecosystems", "land-use", "Massachusetts- (USA-", "forest-lands", "Nutrient dynamics", "vegetation-type", "USA", "Vegetation", "mineralization-", "15. Life on land", "Pinus", "soil-types", "Terrestrial-Ecology (Ecology-", "0401 agriculture", " forestry", " and fisheries", "agricultural-land", "ecosystems-"], "contacts": [{"organization": "Campton, Jana E., Boone, Richard D., Motzkin, Glenn, Foster, David R.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s004420050619"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Oecologia", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s004420050619", "name": "item", "description": "10.1007/s004420050619", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s004420050619"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1998-10-01T00:00:00Z"}}, {"id": "10.1007/s10457-011-9442-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:14:32Z", "type": "Journal Article", "created": "2011-11-02", "title": "Modeling The Impacts Of Agroforestry Systems On The Spatial Patterns Of Soil Erosion Risk In Three Catchments Of Claveria, The Philippines", "description": "Agroforestry is one of the preferred land-use options for smallholder farms in tropical landscapes due to its ability to increase land productivity and protect soil from erosion. We investigated the impacts of agroforestry and traditional monocropping systems on the spatial patterns of soil erosion risk in three catchment areas of Claveria, the Philippines, using WaTEM/SEDEM, a spatially distributed soil erosion model. The model predicts soil loss in catchments based on the Revised Universal Soil Loss Equation (RUSLE) by taking into account the influences of rainfall, soil erodibility, vegetation cover and 2-dimensional variations in landscape structure. The predicted soil erosion rates were transformed into risk values in order to identify areas with higher risk for erosion. Model results indicate a large spatial variability in soil erosion risk patterns, with higher risks occurring on slopes greater than 8% on land under non-agroforestry use. The soil erosion risk maps were used to formulate site-specific agroforestry recommendations for future landscape amelioration plans.", "keywords": ["2. Zero hunger", "soil erosion", "13. Climate action", "upland areas", "RUSLE", "WaTEM/SEDEM", "the Philippines", "15. Life on land", "01 natural sciences", "land-use planning", "tropical region", "agroforestry", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Delgado, Marc, Canters, Frank,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s10457-011-9442-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agroforestry%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10457-011-9442-z", "name": "item", "description": "10.1007/s10457-011-9442-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10457-011-9442-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-11-02T00:00:00Z"}}, {"id": "10.1007/s10750-013-1617-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:14:42Z", "type": "Journal Article", "created": "2013-08-06", "title": "Vegetation And Soil Characteristics As Indicators Of Restoration Trajectories In Restored Mangroves", "description": "We investigated the restoration trajectories in vegetation and soil parameters of monospecific Rhizophora mucronata stands planted 6, 8, 10, 11, 12, 17, 18, and 50 years ago (restored system). We tested the hypothesis that the changes in vegetation characteristics, with progressing mangrove age, are related to the changes in soil characteristics. The vegetation and soil parameters were compared across this restoration sequence using a reference system comprising mature, natural mangrove stands of unknown age. Rapid increases in leaf area index and aboveground biomass, and declines in tree density and size (in terms of tree diameter and height) occurred with increasing stand age. Soil organic matter, total nitrogen, and soil redox potential increased, and soil temperature decreased as stands aged. These patterns tended to stabilize at approximately the 11th year, indicating the probable age that restoration plots tend toward forest maturity. The time for the restored systems to reach forest maturity, attaining characteristics similar to the reference system, is estimated at 25 years, which is relatively slow compared to forest regeneration trajectories estimated for natural mangroves. Our study describes the trajectory patterns for planted mangroves, which are important for the assessment of both the progress and success of mangrove rehabilitation programs.", "keywords": ["Rhizophora", "0106 biological sciences", "550", "Philippines", "Restoration", "Mangroves", "1104 Complementary and Alternative Medicine", "910", "15. Life on land", "Soil carbon", "01 natural sciences"]}, "links": [{"href": "https://doi.org/10.1007/s10750-013-1617-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrobiologia", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10750-013-1617-3", "name": "item", "description": "10.1007/s10750-013-1617-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10750-013-1617-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-08-07T00:00:00Z"}}, {"id": "10.1007/s11104-007-9375-5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:14:45Z", "type": "Journal Article", "created": "2007-09-06", "title": "Spatial And Temporal Patterns Of Root Distribution In Developing Stands Of Four Woody Crop Species Grown With Drip Irrigation And Fertilization", "description": "In forest trees, roots mediate such significant carbon fluxes as primary production and soil CO2 efflux. Despite the central role of roots in these critical processes, information on root distribution during stand establishment is limited, yet must be described to accurately predict how various forest types, which are growing with a range of resource limitations, might respond to environmental change. This study reports root length density and biomass development in young stands of eastern cottonwood (Populus deltoidies Bartr.) and American sycamore (Platanus occidentalis L.) that have narrow, high resource site requirements, and compares them with sweetgum (Liquidambar styraciflua L.) and loblolly pine (Pinus taeda L.), which have more robust site requirements. Fine roots ( 5 mm) were sampled to determine spatial distribution in response to fertilizer and irrigation treatments delivered through drip irrigation tubes. Root length density and biomass were predominately controlled by stand development, depth and proximity to drip tubes. After accounting for this spatial and temporal variation, there was a significant increase in RLD with fertilization and irrigation for all genotypes. The response to fertilization was greater than that of irrigation. Both fine and coarse roots responded positively to resources delivered through the drip tube, indicating a whole-root-system response to resource enrichment and not just a feeder root response. The plastic response to drip tube water and nutrient enrichment demonstrate the capability of root systems to respond to supply heterogeneity by increasing acquisition surface. Fine-root biomass, root density and specific root length were greater for broadleaved species than pine. Roots of all genotypes explored the rooting volume within 2 years, but this occurred faster and to higher root length densities in broadleaved species, indicating they had greater initial opportunity for resource acquisition than pine. Sweetgum\u2019s root characteristics and its response to resource availability were similar to the other broadleaved species, despite its functional resemblance to pine regarding robust site requirements. It was concluded that genotypes, irrigation and fertilization significantly influenced tree root system development, which varied spatially in response to resource-supply heterogeneity created by drip tubes. Knowledge of spatial and temporal patterns of root distribution in these stands will be used to interpret nutrient acquisition and soil respiration measurements.", "keywords": ["0106 biological sciences", "Crops", "Distribution", "Forests", "Functional Groups", "01 natural sciences", "Cottonwoods", "Biomass", "Trees Functional Groups", "Fertilizers", "Functionals", "Irrigation", "Respiration", "Sycamores", "Nutrients", "Root Length Density Soil Heterogeneity", "04 agricultural and veterinary sciences", "15. Life on land", "Vertical Root Distribution", "Carbon", "60 Applied Life Sciences", "Spatial Distribution", "Fertilization", "Soils", "0401 agriculture", " forestry", " and fisheries", "Stand Development", "Pines", "Plastics", "Woody Crops"], "contacts": [{"organization": "Coleman, Mark", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s11104-007-9375-5"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-007-9375-5", "name": "item", "description": "10.1007/s11104-007-9375-5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-007-9375-5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-09-07T00:00:00Z"}}, {"id": "10.5061/dryad.51c59zwgj", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:24Z", "type": "Dataset", "created": "2024-04-02", "title": "Data from: Evidence for reductions in physical and chemical plant defense traits in island flora", "description": "Open Access# Evidence for Reductions in Physical and Chemical Plant Defense Traits in Island Flora [https://doi.org/10.5061/dryad.51c59zwgj](https://doi.org/10.5061/dryad.51c59zwgj) This dataset consists of three primary data sources: (1) Morphological and chemical measurements of leaf traits, collected from five taxonomic pairs of chaparral shrubs (*Ceanothus megacarpus*, *Cercocarpus betuloides*, *Dendromecon rigida/harfordii*, *Heteromeles arbutifolia*, *Prunus ilicifolia*) at three sites on the California Channel Islands (Santa Rosa, Santa Cruz, Santa Catalina) and three sites on the California mainland. (2) Morphological and chemical measurements of the same leaf traits from the same species, but this time measured from plants growing at botanic gardens (3) Morphological, chemical, and biomass data from a common garden experiment with *Stachys bullata*, with genotypes from two islands (Santa Rosa, Santa Cruz) and four mainland locations In addition, our analysis also includes bioclimatic data and local precipitation data accessed from publicly available sources. ## Description of the data and file structure This dataset is organized into two folders: **data_files** and **scripts** --- ***DATA_FILES*** Within the **data_files** folder, there are folders for '**Shrubs**' (corresponding to 1 and 2 above) and '**Stachys**' (corresponding to 3 above). **SHRUBS** The **Shrubs** folder contains one file (**Bowen and Van Vuren Effect Sizes.xlsx**), which summarizes the results from Bowen and Van Vuren (1997 ([https://www.jstor.org/stable/2387407](https://www.jstor.org/stable/2387407), directly as reported in their Tables 2, 3, 4, and 5 in the main text. Variables in this datafile include: 1. Trait - the plant trait that was measured in their study 2. Genus - the taxonomic unit being measured 3. t - the value of the t-statistic from a paired t-test of island vs. mainland samples for a given genus 4. n island - sample size for island plants 5. n mainland - sample size for mainland plants 6. Cohen's D - derived value that expresses insularity effect size for a given measure The **Shrubs** folder also contains four subfolders: **Cyanide**, **Images**, **Mapping**, and **Morphology** The **Cyanide** folder contains two files: 1. **cyanide_calibration.csv** - file containing measurements used to define calibration curve for quantifying evolved HCN from leaf tissue. 1. conc = concentration of potassium cyanide (KCN) standard used in calibration (mg/L) 2. abs = absorbance value returned by VWR V-1200 spectrometer, measured at 510 nm 2. **cyanide_measurements.csv** - file containing measurements of evolved HCN from field and botanic garden leaf tissue. PlantID values are the same as those reported for all other morphological measurements. 'NA' values in this dataset correspond to samples whose absorbance values were outside the range of our calibration curve or that were otherwise not suitable to include in analysis. 1. Age = whether leaf tissue was newly expanded ('young') or mature ('old') 2. Tissue_Mass = amount of frozen tissue used in assay (mg) 3. Dilution 1 = amount of water (mL) into which evolved HCN (in NaOH) was added prior to titration with citric acid. This value is 30 mL for all samples. 4. Dilution 2 = dilution factor. Here, a value of 1 means that 5 mL of citrate buffer was mixed with 5 mL water (1:1 ratio) and used in the subsequent reaction. A value of 10 means that 1 mL of citrate buffer was mixed with 10 mL water (1:10 ratio). 5. Sample Concentration = concentration of HCN in sample (mg/L), calculated using the calibration curve above. Samples with absorbance values above 0.500 were omitted and re-measured at reduced concentration, as this was beyond the concentration limit recommended by the manufacturer instructions. 6. Tissue Concentration = value relating dilution factor and sample mass to sample concentration. Expressed in milligrams of HCN per gram of leaf tissue. The **Images** folder contains all scanned leaf images (n = 626). File names correspond to plant species, plant ID, sampling site, and canopy position (see chaparral_leaf_morphology.csv below for a full description). So, for example, CMEG44_SMM_Upper refers to Ceanothus megacarpus, Plant ID = 44, sampled from the Santa Monica Mountains (SMM), upper canopy. Note also that each leaf within each image is individually numbered. The **Mapping** folder contains two files: 1. **shrubs_coordinates.csv** - contains coordinates and elevation for all field-sampled plants, recorded using a handheld Garmin GPS unit 2. **site_coordinates.csv** - contains broad site-level coordinates used for making map in Figure 1 The **Morphology** folder contains two files: 1. **chaparral_leaf_morphology.csv** - the primary datafile for this study, with each row (n = 5665) corresponding to a single leaf. For a visual depiction of the measurement protocol, see Supplemental Figures. Leaf measurements reported as NA generally correspond to leaves that were severely damaged, from which measurements could be reliably taken. 1. Index = sorting variable 2. IM = refers to whether a given plant was growing at an island or mainland site 3. Source = the original provenance of a given plant. For all field-sampled plants, the value here is the same as the value for 'Site' 4. Site = the location where plants were sampled. Includes all field sampling locations as well as the two botanic gardens 5. Exclosure = yes/no variable, only relevant to Catalina Island, describing whether sampled plant was inside of a deer exclosure 6. Species = taxon being measured 7. Plant = Plant ID, a unique value for each individual plant. Note that botanic garden samples have their own non-integer codes, and for Rancho Santa Ana Botanic Garden, these codes can be cross-referenced against the garden's living collections 8. Position = refers to whether a sampled branch came from the upper (>2m) or lower portion of the plant's canopy 9. Aspect = recorded from the Garmin GPS, refers to predominant downward slope direction. Not recorded for botanic garden plants (marked as NA) or for plants from completely flat ground. 10. Elevation = elevation in meters of sampled plants 11. Diameter1 = diameter (cm) of the primary plant trunk at 0.25m (NA means that stem could not be reliably measured) 12. Diameter2 = diameter (cm) of any secondary plant trunk at 0.25m (only applicable for multi-stemmed plants; NA means that stem could not be reliably measured) 13. Stem_Area = derived measure of stem area (cm^2), based on trunk diameter, used as a rough proxy for plant age (NA means that stem could not be reliably measured) 14. 1st_year = refers to whether an individual leaf was newly emerged growth (1) or fully expanded and mature (0) 15. Leaf_ID = corresponds to the numbers in each leaf scan; identifies each individual leaf from a given branch 16. Leaf_Length = leaf length (cm) along its primary axis, excluding the petiole 17. Leaf_Area_petiole = leaf area (cm^2), including the petiole 18. Leaf_Area_no.petiole = leaf area (cm^2), excluding the petiole 19. Internal_area_correction = cumulative area of any 'holes' missing within the leaf perimeter (cm^2) 20. True_area = Leaf_Area_no.petiole minus Internal_area_correction (cm^2) 21. Leaf_area_corrected = leaf area, after manually filling in gaps missing due to presumed herbivore damage (cm^2) 22. Leaf_area_corrected_final = Leaf_area_corrected minus Internal_area_correction (cm^2) 23. Area_no_spines = leaf area after connecting vertices created by leaf spines (cm^2), using to calculate spinescence (%) 2. **shrub_leaf_masses.csv** - cumulative mass (g) of fully expanded leaf tissue from each branch, summed across all individual leaves. Used for calculating specific leaf area (SLA). **STACHYS** The **Stachys** folder contains three subfolders: **Chemistry**, **Morphology**, and **Setup** The **Chemistry** folder contains two files and one sub-directory: 1. **stachys_chromatograms** contains raw GC-MS readout for six leaf chemistry samples. Within each of the corresponding subfolders, the tic_front.csv file was used to generate the chromatograms shown in Figure 6A. 2. **stachys_compound_list.csv** is the full list of compounds detected in our samples. RT refers to the retention time (in minutes) of each compound. Identifications are putative. 3. **stachys_leaf_vocs.csv** is the full data matrix of leaf volatile compounds, with each sample as its own row and data columns each corresponding to a single compound. Values in this data matrix correspond to integrated peak areas, which are a proxy for the abundance of each compound. The **Morphology** folder contains two files: 1. **Anet-stbu.xlsx** contains gas exchange measurements for 26 plants measured in the common garden. The gas exchange column is net carbon assimilation, expressed as CO2 uptake per unit time per unit leaf area (\u00b5mol of CO2 m-2 s-1). 2. **sla_sbbg.csv** contains specific leaf area measurements for *Stachys* plants in the common garden. Note that plant #54 had died by the time of data collection, hence its values of NA across all columns. 1. ID = individual plant ID 2. SLA = cumulative area/ cumulative mass (cm^2/g) 3. leaves = refers to the number of leaves used for generating SLA measurement 4. area/leaf = cumulative area/ leaf number (cm^2/leaf) The **Setup** folder contains three files: 1. **321dailys.xls** is a file containing annual precipitation records (inches) for the Santa Barbara Botanic Garden, accessed from: [https://www.countyofsb.org/2328/Daily-Rainfall-Data-XLS](https://www.countyofsb.org/2328/Daily-Rainfall-Data-XLS) 2. **Field_Setup_SBBG.csv** is the primary file containing details on the primary garden experiment. Note that samples with masses recorded as NA were either dead at the time of sampling. Plants grown on Santa Cruz Island have values of NA for row and column, as this common garden was not arranged in a grid. 1. Index = individual plant ID 2. Population = provenance of plant 3. Garden = whether plants were grown at the Santa Barbara Botanic Garden (primary common garden site) or at the field station on Santa Cruz Island (secondary garden location with only Santa Cruz genotypes) 4. Genotype = identifier given to field-collected rhizomes, which were then propagated and split prior to planting out 5. Cumulative_Mass = mass (g) of paper bag and all of its contents, used for measuring end-of-season plant aboveground biomass 6. Bag_Mass = mass (g) of bag itself (without its contents) 7. Inside_Bag_Mass = mass (g) of smaller paper bags contained within larger bags, including all of their contents. Though not analyzed, these inside bags included all plant biomass collected from outside of the gopher cage that plants were growing in. 8. Inside_Bag_Only_Mass = as above, mass (g) of inner bag itself (without its contents) 9. Year = whether biomass was collected in 2016 or 2017 10. Row = grid location within common garden. Row 1 was at the bottom of the slope shown in Figure 2. 11. Column = grid location within common garden. 3. **stachys_coordinates.csv** contains coordinates for the six collecting sites, used to make the map in Figure 2. --- ***SCRIPTS*** All analyses for this project were conducted in the R programming language (version 4.1.3). Scripts used for analysis are arranged in two folders: **Shrubs** and **Stachys** The **Shrubs** folder contains the following scripts: 1. **coordinates_shrubs_stachys.R** - script used for generating all maps, including those in Figures 1 and 2 and the Google Earth maps in the supplementary figures 2. **cyanide_calibration.R** - script for plotting the calibration curve for relating evolved absorbance values to evolved HCN 3. **shrub_leaf_morphology_chemistry.R** - primary analysis script for manuscript, containing all major statistical analyses and plotting 4. **shrubs_BioClim.R** - script used for extracting bioclimatic data for field-sampled plants; containing code generating climate figures shown in supplementary materials The **Stachys** folder contains the following scripts: 1. **sbbg_precip_data.R** - very short script for summarizing water year totals for 2017 at the Santa Barbara Botanic Garden 2. **stachys_analysis.R** - primary script for generating all analyses and figures for *Stachys* common garden data 3. **stbu_gas_exchange.R** - script for analyzing gas exchange in common garden *Stachys* Note that for recreating some analyses and figures, users will need a Google Maps API key and will need to download data from the bioclim database. --- ## Sharing/Access information Data, code, and figures associated with this project are also available on GitHub at the following link: [https://github.com/micahfreedman/manuscripts/tree/master/Island_Mainland](https://github.com/micahfreedman/manuscripts/tree/master/Island_Mainland)", "keywords": ["Islands", "Morphology", "Dendromecon", "cyanogenic glycosides", "Ecology", "Terpenes", "Cercocarpus", "California Channel Islands", "Chemical ecology", "marginal spines", "Specific leaf area", "Plant science", "Heteromeles", "FOS: Biological sciences", "Stachys", "Other", "Prunus", "Herbivory", "Plant defenses", "Plant-herbivore interactions", "Ceanothus", "Ecology", " Evolution", " Behavior and Systematics"], "contacts": [{"organization": "Freedman, Micah", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.51c59zwgj"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.51c59zwgj", "name": "item", "description": "10.5061/dryad.51c59zwgj", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.51c59zwgj"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.1016/j.biombioe.2007.06.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:33Z", "type": "Journal Article", "created": "2007-07-13", "title": "Soil Carbon, After 3 Years, Under Short-Rotation Woody Crops Grown Under Varying Nutrient And Water Availability", "description": "Soil carbon contents were measured on a short-rotation woody crop study located on the US Department of Energy's Savannah River Site outside Aiken, SC. This study included fertilization and irrigation treatments on five tree genotypes (sweetgum, loblolly pine, sycamore and two eastern cottonwood clones). Prior to study installation, the previous pine stand was harvested and the remaining slash and stumps were pulverized and incorporated 30 cm into the soil. One year after harvest soil carbon levels were consistent with pre-harvest levels but dropped in the third year below pre-harvest levels. Tillage increased soil carbon contents, after three years, as compared with adjacent plots that were not part of the study but where harvested, but not tilled, at the same time. When the soil response to the individual treatments for each genotype was examined, one cottonwood clone (ST66), when irrigated and fertilized, had higher total soil carbon and mineral associated carbon in the upper 30 cm compared with the other tree genotypes. This suggests that root development in ST66 may have been stimulated by the irrigation plus fertilization treatment.", "keywords": ["2. Zero hunger", "Genotype", "Sycamores", "Soil Carbon", "Crops", "Availability", "Short-Rotation Woody Crops", "Nutrients", "Water Short-Rotation Woody Crops", "04 agricultural and veterinary sciences", "15. Life on land", "Carbon", "6. Clean water", "Cottonwoods", "Trees", "Stabilized Carbon", "60 Applied Life Sciences", "Fertilization", "Soils", "0401 agriculture", " forestry", " and fisheries", "Pines", "Irrigation"]}, "links": [{"href": "https://doi.org/10.1016/j.biombioe.2007.06.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biomass%20and%20Bioenergy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.biombioe.2007.06.002", "name": "item", "description": "10.1016/j.biombioe.2007.06.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.biombioe.2007.06.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-11-01T00:00:00Z"}}, {"id": "10.1016/j.catena.2017.08.005", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:38Z", "type": "Journal Article", "created": "2017-08-11", "title": "Soil Greenhouse Gas Fluxes In Tropical Mangrove Forests And In Land Uses On Deforested Mangrove Lands", "description": "Mangrove forests are important carbon sinks in the tropics, yet tropical mangrove deforestation and land use conversion still persists. Reporting of greenhouse gas (GHG) emissions from natural and anthropogenic sources in wetlands are important in regional and national emissions inventories. However, very few studies have been conducted to measure on the GHG fluxes in coastal wetlands, particularly in mangrove forest and non-forest land uses in deforested mangroves. We investigated the soil fluxes of CO2, CH4 and N2O in mangrove forest and non-forest land uses on deforested mangrove areas (i.e. abandoned aquaculture ponds, coconut plantations, abandoned salt ponds, and cleared mangroves) in the coasts of Honda Bay, Philippines. Results showed that the emissions of CO2 and CH4 were higher by 2.6 and 6.6 times in mangrove forests (110 and 0.6 kg CO2e ha \u2212 1 day \u2212 1, respectively) while N2O emissions were lower by 34 times compared to the average of non-forest land uses (1.3 kg CO2e ha \u2212 1 day \u2212 1). CH4 and N2O emissions accounted for 0.59% and 0.04% of the total emissions in mangrove forest as compared to 0.23% and 3.07% for non-forest land uses, respectively. Site-scale soil GHG flux distribution could be mapped with 75% to 83% accuracy using Ordinary Kriging. Unlike mangroves that can offset all GHG emissions through CO2 uptake from photosynthesis, the non-forest land uses cannot offset their emissions on-site as they are usually devoid of vegetation. Our results could be utilised in higher tier national GHG inventories, to refine regional and global estimates of GHG emissions in mangrove wetlands, and improve policy on coastal wetlands conservation.", "keywords": ["coastal wetlands", "580", "soil greenhouse gas fluxes", "570", "Philippines", "15. Life on land", "01 natural sciences", "6. Clean water", "12. Responsible consumption", "13. Climate action", "non-forest land uses in deforested mangrove lands", "11. Sustainability", "geostatistics", "14. Life underwater", "mangrove forest", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.catena.2017.08.005"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.catena.2017.08.005", "name": "item", "description": "10.1016/j.catena.2017.08.005", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.catena.2017.08.005"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-01T00:00:00Z"}}, {"id": "10.1016/j.isprsjprs.2017.10.016", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:22Z", "type": "Journal Article", "created": "2017-11-06", "title": "Estimation And Mapping Of Above-Ground Biomass Of Mangrove Forests And Their Replacement Land Uses In The Philippines Using Sentinel Imagery", "description": "Abstract The recent launch of the Sentinel-1 (SAR) and Sentinel-2 (multispectral) missions offers a new opportunity for land-based biomass mapping and monitoring especially in the tropics where deforestation is highest. Yet, unlike in agriculture and inland land uses, the use of Sentinel imagery has not been evaluated for biomass retrieval in mangrove forest and the non-forest land uses that replaced mangroves. In this study, we evaluated the ability of Sentinel imagery for the retrieval and predictive mapping of above-ground biomass of mangroves and their replacement land uses. We used Sentinel SAR and multispectral imagery to develop biomass prediction models through the conventional linear regression and novel Machine Learning algorithms. We developed models each from SAR raw polarisation backscatter data, multispectral bands, vegetation indices, and canopy biophysical variables. The results show that the model based on biophysical variable Leaf Area Index (LAI) derived from Sentinel-2 was more accurate in predicting the overall above-ground biomass. In contrast, the model which utilised optical bands had the lowest accuracy. However, the SAR-based model was more accurate in predicting the biomass in the usually deficient to low vegetation cover non-forest replacement land uses such as abandoned aquaculture pond, cleared mangrove and abandoned salt pond. These models had 0.82\u20130.83 correlation/agreement of observed and predicted value, and root mean square error of 27.8\u201328.5\u202fMg\u202fha \u22121 . Among the Sentinel-2 multispectral bands, the red and red edge bands (bands 4, 5 and 7), combined with elevation data, were the best variable set combination for biomass prediction. The red edge-based Inverted Red-Edge Chlorophyll Index had the highest prediction accuracy among the vegetation indices. Overall, Sentinel-1 SAR and Sentinel-2 multispectral imagery can provide satisfactory results in the retrieval and predictive mapping of the above-ground biomass of mangroves and the replacement non-forest land uses, especially with the inclusion of elevation data. The study demonstrates encouraging results in biomass mapping of mangroves and other coastal land uses in the tropics using the freely accessible and relatively high-resolution Sentinel imagery.", "keywords": ["land use change", "580", "sentinel imagery", "mangrove", "biomass", "550", "Philippines", "0211 other engineering and technologies", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "biomass mapping", "13. Climate action", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1016/j.isprsjprs.2017.10.016"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ISPRS%20Journal%20of%20Photogrammetry%20and%20Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.isprsjprs.2017.10.016", "name": "item", "description": "10.1016/j.isprsjprs.2017.10.016", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.isprsjprs.2017.10.016"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-01T00:00:00Z"}}, {"id": "10.1016/j.foreco.2004.10.068", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-25T16:16:04Z", "type": "Journal Article", "created": "2004-12-29", "title": "Litter Fall In Mediterranean Pinus Pinaster Ait. Stands Under Different Thinning Regimes", "description": "Litter quantity and composition and its fall pattern throughout the year in Mediterranean pine afforestation of Pinus pinaster in Fuencaliente (Central Spain) were studied in relation to thinning treatments. The experiment lasted 10 years (1986-1995) and tested two low thinning regimes with a control one and with a stand that had never been thinned. Mean litter production for all years and treatments was 3284 kg ha -1 year -1 although it varies between 1520 kg ha -1 year -1 for the heavy thinning in 1994 and 5700 kg ha -1 year -1 for moderate thinning in 1989. Litter fall had two relative maximums throughout the year, the largest during the months of July, August and September, and the second one during January and February. The temperature of the previous month and moisture deficit resulted to be the most correlated climatic variables with monthly litter fall. Both time and treatments, and also their interaction, had a significant effect on litter fall, decreasing the quantity of litter fall with thinning intensity. Five years after thinning, this effect on the litter fall disappeared. \u00a9 2004 Elsevier B.V. All rights reserved.", "keywords": ["0106 biological sciences", "Litter fall pattern", "Thinning treatments", "Nutrient composition", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Pines", "01 natural sciences", "Nutrient cycle"], "contacts": [{"organization": "Roig-G\u00f3mez, S., R\u00edo, Miren del, Ca\u00f1ellas, Isabel, Montero, Gregorio,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2004.10.068"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Ecology%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.foreco.2004.10.068", "name": "item", "description": "10.1016/j.foreco.2004.10.068", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2004.10.068"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-02-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2017.01.025", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-05-25T16:16:18Z", "type": "Journal Article", "created": "2017-02-09", "title": "Soil C Quantities Of Mangrove Forests, Their Competing Land Uses, And Their Spatial Distribution In The Coast Of Honda Bay, Philippines", "description": "Mangrove forests provide many ecosystem goods and services and they contain large amount of carbon (C) especially in their soil. Yet, their global area is still declining owing to conversion to non-forest land uses. While studies have been conducted on mangrove soil C stocks, our knowledge on how C stocks of mangrove forests compare with those of non-forest land uses that replaced them is still limited. This knowledge is crucial in land use planning and decision-making in the coastal zone. Site-scale mapping and assessments of mangrove soil C stocks and the land uses that replaced them are also limited. The aim of this study was to quantify and compare the soil C stocks in mangrove forests and their competing non-forest land uses (represented by aquaculture pond, coconut plantation, salt pond and cleared mangrove), estimate soil C loss arising from conversion, and model the soil C stock distribution in the entire study site. On the average, the soil C stock of mangrove forests was 851.9 \u00b1 87 MgC ha\u2212 1 while that of their non-forest competing land uses was less than half at 365.1 \u00b1 31 MgC ha\u2212 1. Closed canopy mangrove was highest at 1040 \u00b1 104 MgC ha\u2212 1, followed by open canopy mangrove (640 \u00b1 131 MgC ha\u2212 1) while aquaculture, salt pond and cleared mangrove had comparable C stocks (454 \u00b1 32, 401 \u00b1 9, 413 \u00b1 25 MgC ha\u2212 1, respectively) and coconut plantation had the least (42 \u00b1 0.7 MgC ha\u2212 1). Overall, the reduction in soil C stock (soil C loss) due to land use conversion in mangrove ranged from 398 to 809 MgC ha\u2212 1 (mean: 486.8 MgC ha\u2212 1) or a decline of 57% in soil C stock, on the average. It was possible to model the site-scale spatial distribution of soil C stocks and predict their values with 85% overall certainty using the Ordinary Kriging approach. Results from this study could help inform current discussions on Blue Carbon and REDD + as well as policy and program development that advance research on soil C conservation and ecosystem services in coastal forested wetlands.", "keywords": ["580", "c stock", "mangrove", "spatial modelling", "570", "aquaculture", "blue carbon", "Philippines", "14. Life underwater", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2017.01.025"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2017.01.025", "name": "item", "description": "10.1016/j.geoderma.2017.01.025", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2017.01.025"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-05-01T00:00:00Z"}}, {"id": "10.1016/j.marpolbul.2016.05.049", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:32Z", "type": "Journal Article", "created": "2016-06-11", "title": "Rehabilitating Mangrove Ecosystem Services: A Case Study On The Relative Benefits Of Abandoned Pond Reversion From Panay Island, Philippines", "description": "Mangroves provide vital climate change mitigation and adaptation (CCMA) ecosystem services (ES), yet have suffered extensive tropics-wide declines. To mitigate losses, rehabilitation is high on the conservation agenda. However, the relative functionality and ES delivery of rehabilitated mangroves in different intertidal locations is rarely assessed. In a case study from Panay Island, Philippines, using field- and satellite-derived methods, we assess carbon stocks and coastal protection potential of rehabilitated low-intertidal seafront and mid- to upper-intertidal abandoned (leased) fishpond areas, against reference natural mangroves. Due to large sizes and appropriate site conditions, targeted abandoned fishpond reversion to former mangrove was found to be favourable for enhancing CCMA in the coastal zone. In a municipality-specific case study, 96.7% of abandoned fishponds with high potential for effective greenbelt rehabilitation had favourable tenure status for reversion. These findings have implications for coastal zone management in Asia in the face of climate change.", "keywords": ["0106 biological sciences", "Carbon Sequestration", "Conservation of Natural Resources", "coastal protection", "mangroves", "Philippines", "Aquatic Science", "15. Life on land", "Oceanography", "Pollution", "01 natural sciences", "Carbon", "rehabilitation", "carbon stocks", "13. Climate action", "Wetlands", "11. Sustainability", "14. Life underwater", "ecosystem services", "Ponds", "abandoned aquaculture ponds", "Ecosystem", "Environmental Restoration and Remediation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.marpolbul.2016.05.049"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Marine%20Pollution%20Bulletin", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.marpolbul.2016.05.049", "name": "item", "description": "10.1016/j.marpolbul.2016.05.049", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.marpolbul.2016.05.049"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-08-01T00:00:00Z"}}, {"id": "10.1139/x88-221", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:19:13Z", "type": "Journal Article", "created": "2007-12-19", "title": "Biomass And Nutrients In Regenerating Woody Vegetation Following Whole-Tree And Conventional Harvest In A Northern Mixed Forest", "description": "

Biomass and nutrient contents of regenerating woody plants and litter fall were measured after a northern mixed conifer\uffe2\uff80\uff93hardwood forest was harvested by conventional and whole-tree methods. Before harvest, the central Ontario study site was occupied by a 95-year-old pine (Pinusresinosa, P. strobus) and aspen (Populustremuloides, P. grandidentata) stand growing on gently rolling, gravel-free outwash sands. Four years after harvest, aspen abundance increased 100-fold in both harvested areas, with higher densities after whole-tree harvest (WTH) (4.1\uffe2\uff80\uff82stems/m2) than after conventional harvest (CH) (2.7\uffe2\uff80\uff82stems/m2). No self-thinning of aspen occurred between 2 and 4 years after harvest. Total aboveground woody biomass accumulated at 2.0\uffe2\uff80\uff82t\uffe2\uff80\uffa2ha\uffe2\uff88\uff921\uffe2\uff80\uffa2year\uffe2\uff88\uff921 in the WTH area and 1.5\uffe2\uff80\uff82t\uffe2\uff80\uffa2ha\uffe2\uff88\uff921\uffe2\uff80\uffa2year\uffe2\uff88\uff921 in the CH area; the preharvest rate was 2.0\uffe2\uff80\uff82t\uffe2\uff80\uffa2ha\uffe2\uff88\uff921\uffe2\uff80\uffa2year\uffe2\uff88\uff921. Peak autumn litter production occurred earlier in the harvested areas than in an adjacent uncut area. Cycling of N and K in litter fall returned to preharvest rates after 4 years. Cycling of Ca in litter fall was lower after WTH than after CH. Vegetation uptake of N and K (litter fall plus woody biomass) in the harvested areas in year 4 exceeded the preharvest value. Increased N accumulation in woody biomass (3.0\uffe2\uff80\uff82kg\uffe2\uff80\uffa2ha\uffe2\uff88\uff921\uffe2\uff80\uffa2year\uffe2\uff88\uff921 before harvest, 10.6\uffe2\uff80\uff82kg\uffe2\uff80\uffa2ha\uffe2\uff88\uff921\uffe2\uff80\uffa2year\uffe2\uff88\uff921 after WTH) would place a relatively greater demand on forest floor N pools in the WTH than in the CH area owing to lack of N input in logging slash. Although WTH did not reduce initial rates of biomass production, Populus spp. had lower concentrations of N, Ca, and Mg in the WTH area than in the CH area. There may be a danger that WTH on less fertile sites in the region will produce dense, unproductive aspen stands with low rates of self-thinning.

", "keywords": ["0106 biological sciences", "Spermatophyta", "Angiosperms", "Broadleaves", "Forest litter", "Microorganisms", "Coniferopsida: Gymnospermae", "Gymnosperms", "01 natural sciences", "logging", "Dicots", "pines", "nutrients", "Spermatophytes", "Natural regeneration", "Plant nutrition", "Plantae", "Forest Sciences", "Vascular Plants", "biomass", "Stand characteristics", "Salicaceae: Dicotyledones", "thinning", "Soil morphology", "Cycling", "Forestry", "Pinus Resinosa Pinus Strobus Populus Tremuloides Populus Grandidentata Forest Biomass Energy Forest Products", "Plants", "15. Life on land", "Conifers", "Angiospermae", "composition", "whole tree logging", "nutrient reserves", "natural thinning", "measurement", "ecology"], "contacts": [{"organization": "Hendrickson, O.Q.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1139/x88-221"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Canadian%20Journal%20of%20Forest%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1139/x88-221", "name": "item", "description": "10.1139/x88-221", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1139/x88-221"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1988-11-01T00:00:00Z"}}, {"id": "10.5061/dryad.3xsj3txc0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:23Z", "type": "Dataset", "title": "Data from: Megafauna biogeography explains plant functional trait variation in the tropics", "description": "unspecifiedThe dataset that is made available here cosists of two files in .csv format. The first is the complete trait dataset for specific leaf area (sla; mm2.mg-1), wood density (woo; g.cm-3), HMax (m) and Spines (yes/no). The list of reference sources for trait data is presentes in the end of this note. Other abreviations in this file are: ref.sla: reference sources for sla data; ref.woo: reference sources for wood density data; ref.hmax: reference sources for hmax data; mat:\u00a0 mean annual temperature; map: mean annual precipitation; rs: rainfall seasonality; nfires5: number of fires per 5 km area (our proxy for fire frequency); avgfrp: average fire radiative power (our proxy for fire intensity); cec: soil cation exchange capacity; orc: soil organic carbon content; cly: weight percentage of clay particles (<0.0002 mm) in the soil; slt: weight percentage of silt particles (0.0002\u20130.05 mm) in the soil; snd: weight percentage of the sand particles (0.05\u20132 mm) in the soil; crf: volumetric percentage of coarse fragments (>2 mm) in the soil. The second file attached is a dataset of Geoxyle species (geox; y(yes)/n(no)) for a subset of the Brazilian Cerrado species. \u00a0 Complete Reference Sources for the Funcitonal Trait Data \u00a0 Abbot, P., Lowore, J., Khofi, C. & Werren, M. (1997). Defining firewood quality: A comparison of quantitative and rapid appraisal techniques to evaluate firewood species from a Southern African Savanna. Biomass and Bioenergy, 12, 429\u2013437. Abe, N., Miatto, R.C. & Batalha, M.A. (2018). Relationships among functional traits define primary strategies in woody species of the Brazilian \u201ccerrado.\u201d Revista Brasileira de Botanica, 41, 351\u2013360. African Plant Database (version 3.4.0). Conservatoire et Jardin botaniques de la Ville de Gen\u00e8ve and South African National Biodiversity Institute, Pretoria, 'Retrieved in january 2020', from <http://www.ville-ge.ch/musinfo/bd/cjb/africa/>. Balch, J.K., Nepstad, D.C., Curran, L.M., Brando, P.M., Portela, O., Guilherme, P., Reuning-Scherer, J.D. & de Carvalho, O. (2011). Size, species, and fire behavior predict tree and liana mortality from experimental burns in the Brazilian Amazon. Forest Ecology and Management, 261, 68\u201377. Barbosa, R.I. & Fearnside, P.M. (2004). Wood density of trees in open savannas of the Brazilian Amazon. Forest Ecology and Management, 199, 115\u2013123. Batalha, M.A., Silva, I.A., Cianciaruso, M.V., Fran\u00e7a, H. & de Carvalho, G.H. (2011). Phylogeny, traits, environment, and space in cerrado plant communities at Emas National Park (Brazil).. Flora - Morphology, Distribution, Functional Ecology of Plants, 206, 949\u2013956. Borchert, R. (1994). Soil and stem water storage determine phenology and distribution of tropical dry forest trees. Ecology, 75, 1437\u20131449. Bucci, S.J., Goldstein, G., Meinzer, F.C., Scholz, F.G., Franco,\u00a0 a C. & Bustamante, M. (2004). Functional convergence in hydraulic architecture and water relations of tropical savanna trees: from leaf to whole plant. Tree physiology, 24, 891\u20139. Bucci, S.J., Scholz, F.G., Goldstein, G., Meinzer, F.C., Franco, A.C., Campanello, P.I., Villalobos-Vega, R., Bustamante, M. & Miralles-Wilhelm, F. (2006). Nutrient availability constrains the hydraulic architecture and water relations of savannah trees. Plant, cell & environment, 29, 2153\u201367. Cianciaruso, M. V., Silva, I.A., Manica, L.T. & Souza, J.P. (2013). Leaf habit does not predict leaf functional traits in cerrado woody species. Basic and Applied Ecology, 14, 404\u2013412. Costa, T.G., Bianchi, M.L., Prot\u00e1sio, T. de P., Trugilho, P.F. & Pereira, A.J. (2014). Wood quality of five species from cerrado for production of charcoal. Cerne, 20, 37\u201345. Dantas, V.L. & Batalha, M.A. (2012). Can antiherbivory resistance explain the abundance of woody species in a Neotropical savanna? Botany, 90, 93\u201399. Dantas, V.L., Batalha, M.A. & Pausas, J.G. (2013). Fire drives functional thresholds on the savanna\u2013forest transition. Ecology, 94, 2454\u20132463. Domingues, T.F., Meir, P., Feldpausch, T.R., Saiz, G., Veenendaal, E.M., Schrodt, F., Bird, M., Djagbletey, G., Hien, F., Compaore, H., Diallo, A., Grace, J. & Lloyd, J. (2010). Co-limitation of photosynthetic capacity by nitrogen and phosphorus in West Africa woodlands. Plant, Cell and Environment, 33, 959\u2013980. Flora do Brasil 2020 in construction. Jardim Bot\u00e2nico do Rio de Janeiro. Available at: < http://floradobrasil.jbrj.gov.br/ >. Accessed in January 2020 Hao, G.Y., Hoffmann, W.A., Scholz, F.G., Bucci, S.J., Meinzer, F.C., Franco, A.C., Cao, K.F. & Goldstein, G. (2008). Stem and leaf hydraulics of congeneric tree species from adjacent tropical savanna and forest ecosystems. Oecologia, 155, 405\u2013415. Higgins, S.I., Bond, W.J., Combrink, H., Craine, J.M., February, E.C., Govender, N., Lannas, K., Moncreiff, G. & Trollope, W.S.W. (2012). Which traits determine shifts in the abundance of tree species in a fire-prone savanna? Journal of Ecology, 100, 1400\u20131410. Kitajima, K. & Poorter, L. (2010). Tissue-level leaf toughness, but not lamina thickness, predicts sapling leaf lifespan and shade tolerance of tropical tree species. New Phytologist, 186, 708\u2013721. Markesteijn, L. & Poorter, L. (2009). Seedling root morphology and biomass allocation of 62 tropical tree species in relation to drought- and shade-tolerance. Journal of Ecology, 97, 311\u2013325. Markesteijn, L., Poorter, L., Paz, H., Sack, L. & Bongers, F. (2011). Ecological differentiation in xylem cavitation resistance is associated with stem and leaf structural traits. Plant, Cell and Environment, 34, 137\u2013148. Meir, P., Levy, P.E., Grace, J. & Jarvis, P.G. (2007). Photosynthetic parameters from two contrasting woody vegetation types in West Africa. Plant Ecology, 192, 277\u2013287. Miatto, R.C. (2011). A inclus\u00e3o da abund\u00e2ncia na diversidade funcional aumenta o seu poder de previs\u00e3o?: teste em uma comunidade de cerrado. 37. Miatto, R.C., Wright, I.J. & Batalha, M. a. (2016). Relationships between soil nutrient status and nutrient-related leaf traits in Brazilian cerrado and seasonal forest communities. Plant and Soil. Nygard, R. & Elfving, B. (2000). Stem basic density and bark proportion of 45 woody species in young savanna coppice forests in Burkina Faso. Annals of Forest Science, 57, 143\u2013153. Oliveira-filho, A.T. (2017). NeoTropTree, Flora arb\u00f3rea da Regi\u00e3o Neotropical: Um banco de dados envolvendo biogeografia, diversidade e conserva\u00e7\u00e3o. Universidade Federal de Minas Gerais. Van der Plas, F., Howison, R., Reinders, J., Fokkema, W. & Olff, H. (2013). Functional traits of trees on and off termite mounds: Understanding the origin of biotically-driven heterogeneity in savannas. Journal of Vegetation Science, 24, 227\u2013238. Poorter, L., McDonald, I., Alarcon, A., Fichtler, E., Licona, J.-C., Pe\u00f1a-Carlos, M., Sterck, F., Villegas, Z. & Sass-klaassen, U. (2010). The importance of wood traits and hydraulic conductance for the performance and life history strategies of 42 rainforest tree species - Poorter - 2009 - New Phytologist - Wiley Online Library. New Phytologist, 481\u2013492. Ribeiro, S.C., Fehrmann, L., Soares, C.P.B., Jacovine, L.A.G., Kleinn, C. & de Oliveira Gaspar, R. (2011). Above- and belowground biomass in a Brazilian Cerrado. Forest Ecology and Management, 262, 491\u2013499. Santiago, L.S., Goldstein, G., Meinzer, F.C., Fisher, J.B., Machado, K., Woodruff, D. & Jones, T. (2004). Leaf photosynthetic traits scale with hydraulic conductivity and wood density in Panamanian forest canopy trees. Oecologia, 140, 543\u2013450. Scogings, P.F., Taylor, R.W. & Ward, D. (2012). Inter and intra-plant variations in nitrogen, tannins and shoot growth of Sclerocarya birrea browsed by elephants. Plant Ecology, 213, 483\u2013491. Vale, A.T., Dias, I.S. & Santana, M.A.E. (2010). Rela\u00e7\u00f5es entre propriedades qu\u00edmicas, f\u00edsicas e energ\u00e9ticas da madeira em cinco esp\u00e9cies de cerrado. Ci\u00eanc ia Florestal, 20, 137\u2013145. Vinya, R., Malhi, Y., Brown, N. & Fisher, J.B. (2012). Functional coordination between branch hydraulic properties and leaf functional traits in miombo woodlands: Implications for water stress management and species habitat preference. Acta Physiologiae Plantarum, 34, 1701\u20131710. Yeaton, R. (1988). Porcupines , Fires and the Dynamics of the Tree Layer of the Burkea Africana Savanna. Journal of Ecology, 76, 1017\u20131029. Zanne, A.E., Lopez-Gonzalez, G., Coomes, D.A., Ilic, J., Jansen, S., Lewis, S.L., Miller, R.B., Swenson, N.G., Wiemann, M.C. & Chave, J. 2009. Global wood density database. Dryad. Identifier: http://hdl.handle.net/10255/dryad.235 Zizka, A., Govender, N. & Higgins, S.I. (2014). How to tell a shrub from a tree: A life-history perspective from a South African savanna. Austral Ecology, 39, 767\u2013778.", "keywords": ["megafauna", "specific leaf area (SLA)", "spines", "15. 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This project used a machine learning data-driven model to predict the distribution of soil carbon under mangrove forests globally. Specifically this dataset contains: 1) a compilation of georeferenced and harmonized soil profile data under mangroves compiled from literature, reports and unpublished contributions 2) global mosaics of soil carbon stocks to 1m and 2m depths produced at 100 m resolution 3) tiled predictions of soil carbon stocks produced at 30 m resolution 4) shape file containing the tiling system 5) shape file containing country boundaries used for calculating national level statistics.\nFor detailed methodologies, please see the scientific paper (https://doi.org/10.1088/1748-9326/aabe1c).", "formats": [{"name": "zip"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["carbon", "soil profiles", "Soil science", "Australia", "Bangladesh", "Belize", "Benin", "Brazil", "Cameroon", "China", "Colombia", "Costa Rica", "Dominican Republic", "Ecuador", "Egypt", "El Salvador", "French Guiana", "Guadeloupe", "Honduras", "Hong Kong", "India", "Indonesia", "Madagascar", "Malaysia", "Mexico", "Micronesia", "Mozambique", "New Zealand", "Nigeria", "Palau", "Panama", "Philippines", "Saudi Arabia", "Singapore", "South Africa", "Sri Lanka", "Taiwan", "Thailand", "United States", "Vietnam"], "contacts": [{"name": "Jonathan Sanderman", "organization": "Woods Hole Research Centre", "position": "Associate scientist", "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "jsanderman@whrc.org"}], "addresses": [{"deliveryPoint": [null], "city": "Falmouth, Massachusetts", "administrativeArea": null, "postalCode": "MA 02540", "country": "United States of America"}], "links": [{"href": null}]}, {"name": "Tom Hengl", "organization": "ISRIC - World Soil Information", "position": "Former staff", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "None"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "distancevalue": "30", "distanceuom": "m"}, "links": [{"href": "https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OCYUIT", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://doi.org/10.1088/1748-9326/aabe1c", "name": "Scientific paper", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/other/WD-Mangroves.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "31769934-038c-4873-ab14-4b6b66531103", "name": "item", "description": "31769934-038c-4873-ab14-4b6b66531103", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/31769934-038c-4873-ab14-4b6b66531103"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1969-01-01T00:00:00Z", "2015-09-01T00:00:00Z"]}}, {"id": "30932950", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:55Z", "type": "Journal Article", "created": "2019-03-29", "title": "Longitudinally Measured Changes in Somnolence Severity With a Visual Analog Scale in a Randomized Lithium Versus Quetiapine-IR Study in Bipolar Disorder", "description": "Abstract Objective

The aim of this study was to use a visual analog scale (VAS) longitudinally measuring somnolence severity in patients with bipolar disorder.

Methods

A data set of patients with bipolar spectrum disorders who were randomized to lithium or quetiapine-IR for 16 weeks was used. The somnolence severity was measured with a VAS from 0 to 100 (VAS based), and somnolence frequency was recorded according to incident report (incidence based) at each visit. The rates of VAS-based and incidence-based somnolence and changes in somnolence severity from baseline to the end of study were compared between the lithium and quetiapine groups. Longitudinal changes in somnolence severity were analyzed with linear regression analysis.

Results

Of 42 patients randomized, only 3 scored 0 on the VAS at baseline. The rates of incidence-based and VAS-based somnolence were similar in the lithium and quetiapine-IR groups. The VAS change scores from baseline to each visit varied in both groups with significant decreases at weeks 6 and 12 in the quetiapine-IR group only. The decrease at week 6 in the quetiapine-IR group was significantly different from that in the lithium group. Patterns of changes in somnolence severity were inconsistent in both groups. A significant interaction between time course and the decrease in VAS scores was observed in the quetiapine-IR group, but not in the lithium group.

Conclusions

Baseline somnolence was highly prevalent in patients with bipolar disorder. The change in somnolence severity was different between lithium-treated and quetiapine-treated patients. Quantifying somnolence longitudinally is important in clinical trials and practice.

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Elliptical Road corner Visayas Avenue, Diliman"], "city": "Quezon", "administrativeArea": null, "postalCode": "1128", "country": "Philippines"}], "links": [{"href": null}]}, {"organization": "Departement of Agriculture - Bureau of Soils and Water Management", "roles": ["contributor"]}], "distancevalue": "1000", "distanceuom": "m"}, "links": [{"href": "https://storage.googleapis.com/fao-gismgr-glosis-data/DATA/GLOSIS/MAPSET/PH-GSAS-ECX-2020/GLOSIS.PH-GSAS-ECX-2020.D-0-30.tif", "name": "Download 0-30", "protocol": "WWW:LINK-1.0-http--link", "rel": "download"}, {"href": "https://storage.googleapis.com/fao-gismgr-glosis-data/DATA/GLOSIS/MAPSET/PH-GSAS-ECX-2020/GLOSIS.PH-GSAS-ECX-2020.D-30-100.tif", "name": "Download 30-100", "protocol": "WWW:LINK-1.0-http--link", "rel": "download"}, {"href": "https://www.freeworldmaps.net/asia/philippines/philippines-physical-map.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "32afbca5-ebeb-11ef-bc12-6b4a6fcd8b5e", "name": "item", "description": "32afbca5-ebeb-11ef-bc12-6b4a6fcd8b5e", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/32afbca5-ebeb-11ef-bc12-6b4a6fcd8b5e"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1960-01-01T00:00:00Z", "2020-12-31T00:00:00Z"]}}, {"id": "e6a7ef25-f346-405b-abd2-fddec29c99d3", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "vegetation index"}, {"id": "crop monitoring"}, {"id": "spectral analysis"}, {"id": "appropriate technology"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "low cost"}, {"id": "spectral sensor"}, {"id": "open source device"}, {"id": "net ecosystem carbon balance"}, {"id": "water use efficiency"}], "scheme": "Individual"}, {"concepts": [{"id": "Bodennutzung"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "M\u00e4rkisch Oderland"}, {"id": "Philippines"}, {"id": "Benin"}], "scheme": "individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. 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