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Indicators of economic sustainability obtained for the 8 systems of LTS studied. Monoc. = monoculture; sub-trop. = subtropical; IMTA = integrated multi trophic aquaculture; “-“ = no data.

The data included in the file were collected and processed for calculation of evaporation rate using bilayered photothermal structures

Batteries have the potential to significantly reduce greenhouse gas emissions from on-road transportation. However, environmental and social impacts of producing lithium-ion batteries, particularly cathode materials, and concerns over material criticality are frequently highlighted as barriers to widespread electric vehicle adoption. Circular economy strategies, like reuse and recycling, can reduce impacts and secure regional supplies. To understand the potential for circularity, we undertake a dynamic global material flow analysis of pack-level materials that includes scenario analysis for changing battery cathode chemistries and electric vehicle demand. Results are produced regionwise and through the year 2040 to estimate the potential global and regional circularity of lithium, cobalt, nickel, manganese, iron, aluminum, copper, and graphite, although the analysis is focused on the cathode materials. Under idealized conditions, retired batteries could supply 60% of cobalt, 53% of lithium, 57% of manganese, and 53% of nickel globally in 2040. If the current mix of cathode chemistries evolves to a market dominated by NMC 811, a low cobalt chemistry, there is potential for 85% global circularity of cobalt in 2040. If the market steers away from cathodes containing cobalt, to an LFP-dominated market, cobalt, manganese, and nickel become less relevant and reach circularity before 2040. For each market to benefit from the recovery of secondary materials, recycling and manufacturing infrastructure must be developed in each region. This data was collected through various sources, including from EV Volumes, International Energy Agency, Argonne National Lab, and published articles. A model was created with R to process the data.  R is required to open the models.

A set of environmental variables have been collected for a period of 7 consecutive years (2016-2022, from April/May to September/October, during the glacial melting season) along a longitudinal transect of the Saldur stream, a near pristine glacier-fed stream located in South Tyrol, Italy (46°N, 10° E), part of the International Long Term Ecological Research (ILTER) network (site code: LTER_EU_IT_100). From year 2016 on, a small run-of-river (ROR) hydropower plant (max. 3,200 kW/year) started to operate on the stream, located in close proximity to site Saldur_2A. The potential impact on the riverine ecosystem was largely investigated, and resulted to be negligible. Extensive details on this topic can be found reading the scientific publications: Scotti et al. (2022; doi:10.3389/fenvs.2022.902603) and Scotti et al. (2022; doi:10.3389/fenvs.2022.904547).The environmental variables measured (as spot-measurement) were: suspended solids (mL/L); specific conductance at 25° C (mS/cm), water temperature (°C), calculation of the bottom component of the Pfankuch index. Whilst only in 2018 turbidity (NFU) was measured instead of suspended solids, and all the measurements were conducted using a multiparameter meter (HI9829, Hanna Instruments), for all the remaining years suspended solids were measured after 30 minutes of water sedimentation in a Imhoff cone, and specific conductance through a portable conductimeter (Cond 7, XS Instruments). More methodological details can be found in Scotti & Bottarin (2021; doi:10.1038/s41597-021-00887-x).

The data describes plant gas exchange dynamics (CO2, H2O) together with online proton transfer reaction mass spectrometry measurements of biogenic volatile organic compound emissions of Pinus halepensis seedlings exposed to two similar heatwaves together with drought and a recovery period. Measured in a scientific glasshouse facility at KIT IMK-IFU Garmisch-Partenkirchen, Germany, via an automated chamber setup. #0 means "Inf"

Small Medium and Micro Enterprises (SMMEs) play a significant role in the socio-economic stimulation of South Africa. Particularly, South African SMMEs are believed to contribute around 50% to the national Gross Domestic Product (GDP) while simultaneously employing up to 80% of the national workforce. Prior research does however suggest that these business entities have among the worst sustainability rates in the world as up to 75% fail after being in operation for three years. A probable reason for the latter dispensation is the non-management of economic factors, one of which is that of Taxation. Taxation is a mandatory obligation imposed on citizens of a country to fund state expenditure. For this working paper, Customs and Excise Taxation is focused on; Taxation that is levied on goods and/or services that are hazardous to both human- and environmental health and wellness. Over the years, Customs and Excise Taxation has not only been imposed on tobacco products, alcoholic products and plastic bags but have also increased year-on-year, to date. As such, the perception was formulated by the author that the sustainability of South African (retail) SMMEs, especially those who sell tobacco products, alcoholic products and plastic bags, are adversely affected by the year-on-year increases of Customs and Excise Taxation. The primary objective of this working paper is to ascertain whether the perception formulated shows truth, in theory. This working paper therefore takes on a non-empirical, exploratory approach that makes use of a qualitative research methodology. Stemming from the findings, thus far, it appears that Customs and Excise Taxation adversely influences the sustainability of South African SMMEs that sell tobacco products, alcoholic products and plastic bags.

Inland valleys are becoming increasingly important agricultural production areas for rural households in sub-Saharan Africa due to their relative high and secure water availability and soil fertility. In addition, inland valleys are important as water buffer and biodiversity hot spots and they provide local communities with forest, forage, and fishing resources. As different inland-valley ecosystem functions may conflict with agricultural objectives, indiscriminate development should be avoided. This study aims to analyze the diversity of inland valleys in Sierra Leone and to develop guidelines for their sustainable use. Land use, biophysical and socio-economic data were analyzed on 257 inland valleys using spatial and multivariate techniques. Five cluster groups of inland valleys were identified: (i) semi-permanently flooded with good soil fertility, mostly under natural vegetation; (ii) semi-permanently flooded with very low soil fertility, abandoned by farmers; (iii) seasonally flooded with low soil fertility under low input levels, used for rainfed rice and off-season vegetables for household consumption and market; (iv) well drained with moderate soil fertility under medium input levels, used for rainfed rice and off-season vegetables for household consumption and market; and (v) well drained with moderate soil fertility under low input levels, used for household consumption. Soil fertility, hydrological regime, physical and market accessibility were the major factors affecting agricultural intensification of inland valleys. Opening up the areas in which inland valleys occur through improved roads and markets, and better water control through drainage infrastructures along with an integrated nutrient management would promote the sustainable agricultural use of inland valleys.

The dataset includes 90 global food system and land use scenarios developed with the model BioBaM-GHG 2.0. The scenarios have been developed for assessing the global potential of forest regeneration for climate mitigation to 2050 under various food system pathways, i.e. diets, crop yield developments, land requirements for energy crops, and two variants of grassland use. The scenarios include the following data on country level: Land use and land-use change, cropland area by crop group, grazing area by quality classes, crop production by crop groups, crop consumption by crop groups and use types, crop wastes (losses), net imports/exports, production and consumption of animal products, grass supply and demand, GHG emissions from land-use change, GHG emissions from agricultural activities, and total cumulated GHG emissions. The main model result in this context, cumulative carbon sequestration from forest regeneration until 2050, is calculated as difference between the parameters "GHG emissions from land use change (cumulative) (Mt CO2e)" and "GHG emissions from land use change excluding C stock changes from natural succession (cumulative) (Mt CO2e)". Please refer to the related publication "Exploring the option space for land system futures at regional to global scales: The diagnostic agro-food, land use and greenhouse gas emission model BioBaM-GHG 2.0" (Kalt et al., 2021 - currently under review at Ecological Modelling) for further information. This work was funded by the Austrian Science Fund (FWF) within project P29130-G27 GELUC.