This readme.txt file was generated on 2025-01-16 by Pooja Choksi Recommended citation for the data: ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset: Data from ‘How do trees outside forests contribute to human wellbeing? A systematic review from South Asia’ 2. Author Information: Pooja Choksi, Dhwani Lalai, Anamika Menon, Abha Joglekar, Anirban Roy, Vijay Ramprasad, Mahendra Singh Thapa, Ravikanth Gudasalamani, Shalini Dhyani, Milind Bunyan, Seema Shastri, Tobias Plieninger, Binod Adhikari, Harry Fischer, Sutirtha Lahiri, Ida N. S. Djenontin, Faisal Elias, Megan Kocher, Juan Ortiz Cuadra, Forrest Fleischman Principal Investigator Contact Information Name: Pooja Choksi Institution: University of Minnesota Address: 10A Green Hall, 2005 Upper Buford Circle, St. Paul, MN 55108, USA Email: choks027@umn.edu/ poojamchoksi@gmail.com ORCID: 0000-0002-2997-5894 Associate or Co-investigator Contact Information Name: Forrest Fleischman Institution: University of Minnesota Address: 101D Green Hall, 2005 Upper Buford Circle, St Paul, MN 55108, USA Email: ffleisch@umn.edu ORCID: 0000-0001-6060-4031 3. Date published or finalized for release: Publication date same as when ERL paper is published. 4. Date of data collection: 2023-10-01 to 2024-10-30 5. Geographic location of data collection: N/A 6. Information about funding sources that supported the collection of the data: NASA South Asia Research Initiative (SARI) Synthesis grant 21-SARI-21-0005. 7. Overview of the data (abstract): Trees outside forests (ToF) can provide several ecosystem services or benefits such as carbon sequestration, biodiversity conservation and soil enrichment. These benefits, largely focused on agri-silvipastoral systems, have been well studied and documented. Human wellbeing outcomes of ToF, on the other hand, are relatively less understood. South Asia, in particular, is an important region to study given the cultural norm of trees outside forests. This region is home to millions of small-scale farmers, with often less than 4 hectares each, where trees are an important source of fodder, nutrition, and livelihoods. Moreover, countries in South Asia such as India have large land restoration targets such as restoring 26 million hectares of degraded land by 2030, and recent studies have indicated that ToF may be an important aspect of meeting this pledge. Multiple papers based on this data from a systematic review will help understand the reported benefits and drawbacks for human wellbeing of ToF and the circumstances under which these outcomes are perceived by people. Our data will help understand the institutional, geographic, managerial and population characteristics that mediate the human wellbeing outcomes directly measured by a study or perceived by the population considered in a particular study. In the context of this review, we broadly use the term human wellbeing, to include the following components: material and living standards, health, education, work and leisure, agency and political voice, social relationships, physical and economic security. -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: CC-BY-NC 2. Links to publications that cite or use the data: Publication in ERL coming out soon. 3. Was data derived from another source? If yes, list source(s): As this is a systematic review, we relied on peer-reviewed publications. The dataset lists the details of the publication title, journal, authors and publisher. 4. Terms of Use: Data Repository for the U of Minnesota (DRUM) By using these files, users agree to the Terms of Use. https://conservancy.umn.edu/pages/policies/#drum-terms-of-use --------------------- DATA & FILE OVERVIEW --------------------- 1. File List: A. Filename: ToF-Review-Checked-Code-V3.csv Short description: Our systematic review resulted in this .csv file of coded data. R Markdown file, 00-Human-WellBeing-Outcomes-Analysis.Rmd, is used to analyse the data in this file. B. Filename: ToF-Review-Baells-List.csv Short description: A list of journals that are predatory or potentially predatory. C. Filename: 00-Human-WellBeing-Outcomes-Analysis.Rmd Short description: R Markdown file used to create the figures in Environmental Research Letters (ERL) publication, “How do trees outside forests contribute to human wellbeing? A systematic review from South Asia” (DOI: __________________) 2. Relationship between files: ToF-Review-Checked-Code-V3.csv is the main dataset from the systematic review. R Markdown file, 00-Human-WellBeing-Outcomes-Analysis.Rmd, is used to analyse the data in ToF-Review-Checked-Code-V3.csv. ToF-Review-Baells-List.csv is used to answer one question in relation to the main dataset for the ERL manuscript. -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: The systematic review carried out to compile the data in TOF-Review-Checked-Code-V3.csv are described in detail in PROCEED protocol: (link: https://www.proceedevidence.info/protocol/view?id=155). Additionally. methods are described in ERL publication, “How do trees outside forests contribute to human wellbeing? A systematic review from South Asia” (DOI: ______________). 2. Methods for processing the data: Methods for processing the data generated from the systematic review are described in ERL publication, “How do trees outside forests contribute to human wellbeing? A systematic review from South Asia” (DOI: ______________). 3. Instrument- or software-specific information needed to interpret the data: Statistical analysis software R is required to open and use the file 00-Human-WellBeing-Outcomes-Analysis.Rmd. 4. Standards and calibration information, if appropriate: Not applicable. 5. Environmental/experimental conditions: Not applicable. 6. Describe any quality-assurance procedures performed on the data: Not applicable. 7. People involved with sample collection, processing, analysis and/or submission: Pooja Choksi, Dhwani Lalai, Anamika Menon, Abha Joglekar, Anirban Roy, Vijay Ramprasad, Mahendra Singh Thapa, Ravikanth Gudasalamani, Shalini Dhyani, Milind Bunyan, Seema Shastri, Tobias Plieninger, Binod Adhikari, Harry Fischer, Sutirtha Lahiri, Ida N. S. Djenontin, Faisal Elias, Megan Kocher, Juan Ortiz Cuadra, Forrest Fleischman ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: TOF-Review-Checked-Code.csv ----------------------------------------- 1. Number of variables: 123 2. Number of cases/rows: 325 rows for each publication considered in this review. 3. Missing data codes: NA Missing data 4. Variable List: A. Name: X.2 Description: Serial number for each publication considered in the systematic review. B. Name: X1_16_a_UID Description: Unique identification (UID) number for each article. Each of the 325 articles considered in this review have a different UID. C: Name: X1_1_Title Description: Title of the article. D: Name: X1_2_Authors Description: Authors of the article. E: Name: X1_3_Abstract Descrption: Abstract of the article. F: Name: X1_4_Published_Year Description: Year in which the article was published. G: Name: X1_5_Published_Month Description: Month in which the article was published. H: Name: X1_6_Journal Description: Journal in which the article was published. I: Name: X1_7_Volume Description: Journal volume in which the article was published. J: Name: X1_8_Issue Description: Journal issue in which the article was published. K: Name: X1_9_Pages Description: Page numbers of the article. L: Name: X1_10_Accession_Number Description: Accession number of the article. Related to Covidence software used to review all the papers. M: Name: X1_11_DOI Description: DOI of the article. N: Name: X1_12_Ref Description: Reference from Covidence software that was used to review all the papers. O: Name: X1_13_Covidence Description: Unique number provided by Covidence software used to review all the papers. P: Name: X1_14_Study Description: Abbreviations used to describe the article. P: Name: X1_15_Notes Description: Notes made on the paper by two independent reviewers in Covidence software used to review all the papers. R: Name: X1_16_Tags Description: Identification tags, if any, applied by Covidence to a paper. S: Name: X1_23_Reviwer1 Description: Name of reviewer 1 who coded the paper. T: Name: X1_24_.Reviewer2 Description: Name of reviewer 1 who coded the paper. U: Name: ResponseId Description: Response ID assigned by Covidence software used to code the paper. V: Name: X1_17 Description: First author’s institutional affiliation (university/ research institution/ organization name). W: Name: X1_17_a Description: Country of the first author’s institution (this information was googled using the institution name, if it was not in the paper already). X: Name: X1_18 Description: Yes/ No response to whether there is an explicit conflict of interest note added to the paper. Yes if the authors declared some conflict of interest. No if there is no conflict of interest. Y: Name: X1_19 Description: Yes/ No response to whether there is an implied conflict of interest. This response is based on how independent the institutional affiliation of the author and the study site/ project/ intervention are (e.g.: A researcher from a governmental institution evaluating the financial benefits of a compensatory afforestation project or employees company/ governmental agency that promotes the use of a particular non-timber product is authoring a paper on the livelihood benefits of the products). Z: Name: X1_20 Description: If response is yes in Implied_Conflict_of_interest in X1_19, this column provides a brief description of why it constitutes as a conflict of interest. AA: Name: X1_21 Description: Name of the publisher of the journal (available in most cases on the article itself). If not, this information was googled (E.g.: Springer Nature for the Nature family journals). AB: Name: X1_22 Description: Country in which the journal was published. This information was found online by googling journal name. AC: Name: X1_23 Description: Name of Reviewer 1 (repeated column) AD: Name: X2_1 Description: The year of data collection. " ; " indicate multiple separate years (e.g.: 1989; 1990; 1996) and " - " indicate a range of years (e.g.: 1989- 1993). If year was unknown, reviewer input -999. AE: Name: X2_2 Description: Description of the study design for the paper. Multiple options available, which could be selected as applicable. (a) Observational (e.g.: a researcher simply studies the wellbeing impact of trees on farms without any comparison), (b) experimental (here there is a treatment and control group), (c) (quasi-) experimental (e.g.: a statistical match is used to create a control group for a treatment group post treatment) and (d) field trial. AF: Name: X2_3 Description: Description of the data collection methods: Options are (all that were applicable were selected): (a) Household-level surveys, (b) Administrative area-level surveys, (c) Biophysical surveys, (d) Mixed qualitative and quantitative methods, (e) Spatial analysis, (f) farmer surveys/ interviews, (g) Other methods. AG: Name: X2_3_7_Text Description: If the response to X2_3 was ‘Other methods’ option in the question above, mention the name of the methods used to collect data. AH: Name: X2_5 Description: Options to describe the nature of the data. Multiple options (selected all that are applicable): (a) Perception-dominant data (participants are asked directly about their opinions about the human wellbeing outcomes), (b) Observation-dominant data (impacts on participants are revealed from the data that are elicited on the target population), (c) Both. AI: Name: X2_6 Description: Options to note if there was a use of a comparator in the study: (a) Before and after exposure, (b) With and without exposure, (c) Both, (d) No comparator used. AJ: Name: X3_1 Description: Country where the study was carried out. Options are: (a) Bangladesh, (b) India, (c) Nepal, (d) Pakistan, (e) Sri Lanka. Selection of multiple options possible. AK: Name: X3_2_a Description: District/ County where the study was carried out (multiple entries possible with ‘;’ as a divider). ‘Not mentioned’ is noted in the absence of specific information. AL: Name: X3_2_b Description: State where the study was carried out (multiple entries possible with ‘;’ as a divider). Not mentioned’ noted in the absence of specific information. AM: Name: X3_2_c Description: Column noting If this study area is close to a national park or protected area (e.g.: conservation area, reserved area - all the different IUCN protected area categories) within approximately 50 kms. ‘Not mentioned’ noted in the absence of specific information. AN: Name: X3_2_d Description: Name(s) of the protected area that is close to the study area. ‘Not mentioned’ noted in the absence of specific information. AO: Name: X3_2_e Description: Yes/No response to whether this study involves any planting on sloped areas. ‘Not mentioned’ noted in the absence of specific information. AP: Name: X3_3 Description: Description of the trees outside forest system the study deals with. Options are (multiple selections possible) (a) Agrisilvicultural system (crops and trees in one plot), (b) Silvopastoral (pasture/ animals and trees in one plot), (c) Agrosilvopastoral (pasture/ animals, crops and trees), (d) Agroforestry including insects/ fish, (e) Tree plantation AQ: Name: X3_4 Description: Description of specific trees outside forest system or practice. Options are (multiple selections possible): (a) Improved or fallow rotation, (b) multipurpose trees on farms or lots, (c) mixed plantation crops, (d) alley cropping, (e) shelterbelt/ hedgerow/ windbreaks, (f) tree/ forest garden, (g) tree or shrub pasturelands, (h) meadow orchards, (i) integrated production of animals (meat and dairy)/ crops and wood, (j) wooded pasture products, (k) riparian buffer strip, (l) entomoforestry, (m) aqua-silvo-fishery, (n) mixed plantation, (o) monoculture plantation, (p) afforestation, (q) reforestation, (r) orchard AR: Name: X3_5 Description: Reason for tree planting. Options (multiple options available): (a) Fruit sale or consumption, (b) Sawnwood, (c) Pulpwood, (d) Fuelwood, (e) Latex and/or rubberwood, (f) Resin, (g) Carbon credits, (h) Social forestry, (i) Community forestry, (j) Government incentive, (k) Not provided, (l) Other AS: Name: X3_5_12_Text Description: In the response in X3_5 was ‘Other’, this column provides the purpose of the tree outside the forest. AT: Name: X3_6 Description: Description of the incentives of planting/ maintaining trees. Options (multiple selections possible): (a) tax exemptions, (b) subsidies, (c) policies, (d) promotion, (e) Industry hub, (f) multiple incentives, (g) Not provided . AU: Name: X3_6_7_Text Description: If the response to X3_6 was ‘Other’ in, this column provides details of the incentive. AV: Name: X3_7 Description: Area of where ToF were studied. Response is either the exact value or average of several plots if that is provided. Response is -999 if this information is not available. AW: Name: X3_7_4_TEXT Description: Area of where ToF were studied. Response is either the exact value or average of several plots if that is provided. Response is a numeric input for unit option 1 in X3_7 - Hectares. AX: Name: X3_7_5_TEXT Description: Area of where ToF were studied. Response is either the exact value or average of several plots if that is provided. Response is a numeric input for unit option 2 in X3_7 - Acres. AY: Name: X3_8 Description: What is the tenure regime where ToF are planted/ maintained. Options: Private, Community-held, Public-private ownership, Unclear, Mixed, N/A AZ: Name: X3_9 Description: Time since trees were planted (so at the time that data was collected). Options are: < 5 years, 5 - 15 years, 15 - 25 years, 25 - 35 years, 35 - 45 years, 45 - 55 years, > 55 years, Trees already existed, Multiple times since planted across sites in study, Not mentioned (if not mentioned in the study). BA: Name: X3_10 Description: Any third party certification of the trees outside forests. Options are: Certified, Uncertified, Unclear, Unknown BB: Name: X3_11 Description: Number of species that are studied. Options are: <5 species, 5-10 species, 11-15 species, 16-20 species, 21-25 species, 25- 30 species, 30-35 species, 35- 40 species, 40-45 species, 45-50 species, >50 species, ‘Not mentioned in study’ if unknown. BC: Name: X3_12 Description: Number of species that are in each acre - <5 species, 5-10 species, 11-15 species, 16-20 species, 21-25 species, 26-30 species, 31-35, 36-40, 41-50, >50, ‘Not mentioned in study’ if unknown. This information most likely doesn’t exist in the study. BD: Name: X3_13 Description: Primary species or genus in the plot. Primary species refers to the dominant species in the plot. This column provides the common name for the genus of the species. (e.g.: Harra, Baheda). If unknown, ‘Unknown’. If more than one species, ‘Multiple species’. BE: Name: X3_13._9_Text Description: Genus of the primary species (if provided). If unknown, write ‘Unknown’. If more than one species, write ‘Multiple species’. BF: Name: X3_13_a Description: Complete latin name of the primary species (if provided). If unknown, write ‘Unknown’. If more than one species, write ‘Multiple species’. BG: Name: X3_13_b Description: Is the primary species non-native and/or invasive? Options are: Native and non-invasive, Native and invasive, Non-native and not invasive, Non-native and invasive. For this question to be answered, the authors must implicitly consider/ explicitly call a species invasive or not in the study region. If this information is unavailable, ‘Not provided’. BH: Name: X3_14 Description: Secondary species are the second most common species on the plot. Input the common name for the genus of the species. If unknown, ‘Unknown’. If more than one species, ‘Multiple species’. BI: Name: X3_14_6_Text Description: Genus of secondary species if provided. If unknown, ‘Unknown’. If more than one species, ‘Multiple species’. BJ: Name: X3_14_a Description: Complete latin name of secondary species if provided. If unknown, ‘Unknown’. If more than one species, ‘Multiple species’. BK: Name: X3_14_b Description: Is the secondary species non-native and/or invasive? Options are: Native and non-invasive, Native and invasive, Non-native and not invasive, Non-native and invasive. For this question to be answered, the authors must implicitly consider/ explicitly call a species invasive or not in the study region. If this information is unavailable, ‘Not provided’. BL: Name: X3_15 Description: Common name for the genus of the tertiary species. Tertiary species is the third most common species on the plot. If unknown, ‘Unknown’. If more than one species, ‘Multiple species’. BM: Name: X3_15_6_Text Description: Genus of tertiary species if provided. If unknown, ‘Unknown’. If more than one species, ‘Multiple species’. BN: Name: X3_15_a Description: Complete Latin name of tertiary species if provided. If unknown, ‘Unknown’. If more than one species, ‘Multiple species’. BO: Name: X3_15_b Description: Tertiary species non-native and/or invasive? Options are: Native and non-invasive, Native and invasive, Non-native and not invasive, Non-native and invasive. For this question to be answered, the authors must implicitly consider/ explicitly call a species invasive or not in the study region. If this information is unavailable, ‘Not provided’. BP: Name: X3_16 Description: If more than 3 species, but up to 20 species, this column provides the common name for the species with ‘;’ separating each species. BQ: Name: X3_16_a Description: If more than 3 species, but up to 20 species, this column provides the complete Latin name for the species with ‘;’ separating each species. BR: Name: X3_16_b Description: This column’s response provides information on whether the species is non-native and/or invasive species. Options are: Native and non-invasive, Native and invasive, Non-native and not invasive, Non-native and invasive. The authors must implicitly consider/ explicitly call a species invasive or not in the study region. If this information is not available in the manuscript, response is ‘Not provided’. BS: Name: X3_17 Description: Former land use or land cover where the trees were planted. Options are: Agriculture, Grazing, Mining or drilling, Planted forests, Natural forests or shrubs, Mixed human activities, Open natural ecosystem, mangrove ecosystem, Unknown (if information has not been provided), Other. BT: Name: X3_17_10_Text Description: if ‘other’ in X3_17, this answer is the land use/ land cover that existed before. BU: Name: X3_18 Description: Unit of the population being studied/analysed. Options are: Household, Individual farmers, Community, Unclear, Other BV: Name: X3_18_5_Text Description: If ‘other’ in 3_18_Unit, other unit to be input here. BW: Name: X4_1 Description: Group of wellbeing outcomes experienced from TOF. Options are (multiple selections allowed): Material and living standards related, Health related, Education related, Work and Leisure related, Agency and Political voice related, Social relationships related, Economic security related. BX: Name: X4_2_a Description: How did wellbeing outcome ‘Access to fuelwood from plants for direct use or processing’ (Table 2 under the domain of material and living standards outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. BY: Name: X4_2_b Description: How did wellbeing outcome ‘Access to biomass from plants for direct use or processing’ (Table 2 under the domain of material and living standards outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. BZ: Name: X4_2_c Description: How did wellbeing outcome ‘Access to fiber from plants for direct use or processing’ (Table 2 under the domain of material and living standards outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CA: Name: X4_2_d Description: How did wellbeing outcome ‘Access to housing materials from plants for direct use or processing’ (Table 2 under the domain of material and living standards outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CB: Name: X4_2_e Description: How did wellbeing outcome ‘Water availability from surface or groundwater for non-drinking purposes’ (Table 2 under the domain of material and living standards outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. . CC: Name: X4_2_f Description: How did wellbeing outcome ‘Access to basic infrastructure including electricity, water, transportation or telecommunications’ (Table 2 under the domain of material and living standards outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CD: Name: X4_2_g Description: How did wellbeing outcome ‘ Access to movable and non-movable assets’ (Table 2 under the domain of material and living standards outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. Moveable assets could include mobile phones, vehicles, livestock. Non-moveable assets include property. CE: Name: X4_2_g_i Description: If response to 4_2_g_assets is ‘Increase’, then ‘;’ as a separator provides a list of the assets people got access to because of trees outside forests. CF: Name: X4_2_h Description: How did wellbeing outcome ‘Access to adequate shelter’ (Table 2 under the domain of material and living standards outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CG: Name: X4_2_i Description: How did wellbeing outcome ‘Protection from disease’ (in Table 2 under the domain of health outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CH: Name: X4_2_j Description: How did wellbeing outcome ‘Provision of elements/ access to medical resources or health care needed for good health, health care and birth control’ (in Table 2 under the domain of health outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CI: Name: X4_2_k Description: How did wellbeing outcome ‘Mental health’(in Table 2 under the domain of health outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CJ: Name: X4_2_l Description: How did wellbeing outcome ‘Longevity and life expectancy’ (in Table 2 under the domain of health outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CK: Name: X4_2_m Description: How did wellbeing outcome ‘Access to health insurance’ (in Table 2 under the domain of health outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CL: Name: X4_2_n Description: How did wellbeing outcome ‘Access to diversified diet’ (in Table 2 under the domain of health outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CM: Name: X4_2_o Description: How did wellbeing outcome ‘Access to educational opportunities (in Table 2 under the domain of education outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. For example, if a tree grower got access to an educational scholarship through the tree growing company, this could be an outcome to note as ‘increase’. CN: Name: X4_2_p Description: How did wellbeing outcome ‘Access to vocational opportunities(in Table 2 under the domain of education outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. For example, if a tree grower got access to training on the maintenance of trees through the tree growing company, this could be an outcome to note as ‘increase’. CO: Name: X4_2_q Description: How did wellbeing outcome ‘Access to nature’ (in Table 2 under the domain of work and leisure outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CP: Name: X4_2_r Description: How did wellbeing outcome ‘Satisfaction with overall quality of life’ (in Table 2 under the domain of work and leisure outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CQ: Name: X4_2_s Description: How did wellbeing outcome ‘Time and space for recreation’ (in Table 2 under the domain of work and leisure outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CR: Name: X4_2_t Description: How did wellbeing outcome ‘Ability to have a belief system and sense of meaning’ (in Table 2 under the domain of work and leisure outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CS: Name: X4_2_u Description: How did wellbeing outcome ‘Freedom to move about and choose job, home, and social relationships’ (in Table 2 under the domain of work and leisure outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CT: Name: 4_2_v Description: How did wellbeing outcome ‘Ability to have a political voice’ and ‘Autonomy and self-determination’ (in Table 2 under the domain of agency and political voice) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CU: Name: X4_2_w Description: How did wellbeing outcome ‘Recognition in village/ community’ (in Table 2 under the domain of social relationships) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CV: Name: X4_2_x Description: How did wellbeing outcome ‘ Social equality with others (non-discrimination)’ (in Table 2 under the domain of social relationships) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CW: Name: X4_2_y Description: How did wellbeing outcome ‘Strong community and social interactions’ (in Table 2 under the domain of social relationships) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CX: Name: X4_2_z Description: How did wellbeing outcome ‘Ability to trust others’ (in Table 2 under the domain of social relationships) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CY: Name: X4_2_aa Description: How did wellbeing outcome ‘Total household income and expenditure’, ‘provision of farm and non-farm income’, ‘employment/ diversified incomes’ (in Table 2 under the domain of physical and economic security outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. CZ: Name: X4_2_ab Description: How did wellbeing outcome ‘Access to loans’ (in Table 2 under the domain of physical and economic security outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. DAA: Name: X4_2_ac Description: How did wellbeing outcome ‘Lack of debts’ (in Table 2 under the domain of physical and economic security outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. DB: Name: X4_2_ad Description: How did wellbeing outcome ‘Access to financial savings’, ‘Provision for dependents’ and ‘Provision for self in old age’ (in Table 2 under the domain of physical and economic security outcomes) change? Options are: Increase, Decrease, Mixed, Neutral, Unreported, Unmet. ‘Unreported’ if this particular outcome was not measured. DC: Name: X4_3 Description: Are the impacts reported above gender disaggregated? Options are: Yes, No, Unknown, Not applicable DD: Name: X4_3_a Description: Description of the exact impact here DE: Name: X4_4 Description: Are the impacts reported above disaggregated by ethnicity? Options are: Yes, No, Unknown, NA DF: Name: X4_4_a Description: Description of the exact impact here DG: Name: X5_1 Description: Do you as a reviewer know if the primary, secondary, tertiary or any of the species mentioned in the paper you are coding as introduced (non-native) and/ or invasive? Options are: Yes/ No. If one of several species in a list is invasive, you can also say Yes. This question must be answered based on your expert opinion, and not what the manuscript says. You can look at each country’s list of non-native (introduced) and invasive species to determine the status of the species: For Nepal: https://www.gbif.org/dataset/9cfd5f70-968c-4690-94ef-834f01b0cea8 Sri Lanka: https://www.gbif.org/dataset/88875dc2-4e00-48e5-9e72-2de3ab964da9 Pakistan: https://www.gbif.org/dataset/8a73c1ea-82bb-4ada-bb69-d17b73e4719a Bangladesh: https://www.gbif.org/dataset/20ec7a58-e20f-451b-9a00-4edc25d588f3 India: https://www.gbif.org/dataset/b09c3987-af9a-4658-9bfd-19cf712ac3d1 DH: Name: X5_3: Description: Any interesting notes on the paper. DI: Name: X6_1 Descrption: Are the conclusions logically derived and supported by the data and methods? Options are: Yes/ No DJ: Name: X6_2 Description: Any confounding factors you can think of that could have influenced the validity of data and methods are considered. Options are: Yes/ No DK: Name: X6_2_a Description: List of confounding factors separated by ‘;’. DL: Name: X6_3 Description: Key terms and concepts are clear, replicable and reliable? Yes/ No DM: Name: X6_4 Description: Is the data collection methodology clear, replicable and reliable? Yes/ No DN: Name: X6_5 Description: Is the sampling selection clearly explained? Yes/ No DO: Name: X6_5_a Description: Is the sampling selection clearly justified? Yes/ No DP: Name: X6_6 Description: Is the data analysis methodology clear, replicable and reliable? Yes/ No DQ: Name: X6_7_Notes Description: Notes, if any ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: ToF-Review-Baells-List.csv ----------------------------------------- 1. Number of variables: 2 2. Number of cases/rows: 473 3. Missing data codes: NA Missing data 4. Variable List: A. Name: X1_6_Journal Description: Peer-reviewed Journal name B. Name: Beall_list Description: If the particular journal is on the Beall list or not. options are Yes or no.