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8 results for “nature's contributions to people”
Data for 'Nature's contributions to people and the Sustainable Development Goals in Nepal'
<p>Title: Data for 'Nature's contributions to people and the Sustainable Development Goals in Nepal'</p> <p>Recommended Citation: Adhikari, B., Prescott, G., Urbach, D., Chettri, N., & Fischer, M. (2022). Nature’s contributions to people and the sustainable development goals in Nepal. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ac8e1e</p> <p>Principal Investigator: Markus Fischer (markus.fischer@ips.unibe.ch)</p> <p>Authors:<br> Biraj Adhikari (biraj.adhikari@ips.unibe.ch, ORCID: 0000-0002-4260-8706)<br> Graham W Prescott (graham.prescott.research@gmail.com, ORCID:0000-0001-5123-514X)<br> Davnah Urbach (davnah.payne@ips.unibe.ch, ORCID: 0000-0001-9170-7834)<br> Nakul Chettri (nakul.chettri@icimod.org, ORCID: 0000-0002-3338-8879)<br> Markus Fischer (markus.fischer@ips.unibe.ch, ORCID: 0000-0002-5589-5900)</p> <p>Date of data collection: November 2020 - August 2021<br> Location of data collection: Kathmandu, Nepal<br> Article title: 'Nature's contributions to people and the Sustainable Development Goals in Nepal'</p> <p>R code available at: https://github.com/biraj-ad/r4dLiteratureReview_GithubRep</p> <p>Data Overview:</p> <p>1. 'Literature_References.csv'<br> List of 119 peer-reviewed journals and 21 grey literature documents used in the review. Each is assigned a unique identifier ("SN Ref") to link it to the other files.</p> <p><br> 2. 'Drivers_and_Trends.csv'<br> The "Quote" column is the text from papers which has information on (i) trends in ecosystems or NCPs, and if available (ii) direct and/or indirect drivers causing the trends.<br> The "Nature" column indicates which ecosystem (Forest, Farmland, Freshwater, Grassland, Others, and Directly to NCP), the "NCP" column indicates which NCP (categorized into 18 categories based on the IPBES classification) the text refers to. The "NCP Category" column indicates whether the said NCP is a regulating, material or non-material NCP. <br> We also categorized direct and indirect drivers based on the IPBES classification (Direct Drivers: Land-use Change, Climate Change, Direct Exploitation, Invasive Alien Species, and Pollution; Indirect Drivers: Institutions and Governance, Demographic and Sociocultural, Economic and Technological). <br> If there were more than one drivers of change for a particular NCP, we have included them in additional columns. In order to avoid multiple counts for trends of a particular NCP, we introduced the "TrendCount" column. For example, columns 3, 4 and 5 refers to the same trend of decreasing WQN, but has 3 Direct Drivers. Therefore, each TrendCount is given a weight of 0.33 so that the total trend adds upto 1.</p> <p>3. 'NCP_to_SDG.csv'<br> The "Quote" Column is the text from papers which has information on which NCP is contributing towards which SDG. "Remarks from text" are the authors' own remarks based on the text and the overall context of the article.<br> The contribution of NCPs are classified as positive or negative, and indicated in the column "Effect (pos/neg)"<br> The "NCP" column indicates which NCP (categorized into 18 categories according to IPBES) the text refers to, while the "Contribution to SDG" column indicates which SDG the NCP is contributing towards.<br> The "Ecosystem" column indicates which ecosystem (Forest, Farmland, Freshwater, Grassland, Others) the NCP is being supplied from.</p> <p>Codes for NCPS:<br> HAB (Habitat Creation and Maintenance), POL (Pollination and dispersal of seeds and other propagules), AIR (Regulation of Air Quality), CLI (Regulation of Climate), WQN (Regulation of Freshwater Quantity, Location, and Timing), WQL (Regulation of Freshwater and Coastal Water Quality), SOI (Formation, Protection, and Decontamination of Soils and Sediments), HAZ (Regulation of Hazards and Extreme Events), ORG (Regulation of Organisms Detrimental to Humans), NRG (Energy), FOD (Food and Feed), MAT (Materials and Assistance), MED (Medicinal, Biochemical, and Genetic Resources), INS (Learning and Inspiration), EXP (Physical and Psychological Experiences), IDE (Supporting Identities), and OPT (Maintenance of Options).</p> <p>4. 'Data_consolidated.xlsx'<br> The above three data files combined into one xlsx document<br> </p> <p> </p> <p> </p>
Quantification of the value of selected Nature's Contributions to People provided by Low Trophic Species aquaculture
<p>This dataset was generated by the work on quantification of Nature’s Contributions to People (NCPs) provided by Low Trophic Species (LTS) aquaculture. The quantification and analysis of selected NCPs was performed based on selected indicators using data from the case studies within the AquaVitae project and literature reviews.</p>
Mapping Nature's Contributions to People provided by Low Trophic Species aquaculture and knowledge gaps
<p>This dataset was generated by the work on quantification of Nature’s Contributions to People (NCPs) provided by Low Trophic Species (LTS) aquaculture. As a first step of this work, the identification of the NCPs provided by LTS aquaculture (based on the case studies investigated within AquaVitae) and the identification of current knowledge gaps in terms of qualitative contributions of LTS aquaculture to the NCPs was performed based on expert judgements and literature review.</p> <p>The ecosystem services framework from IPBES – Nature’s Contributions to People was adopted in this work.</p>
Dataset to study "Understanding rural communities' narratives of land abandonment and its consequences on nature's contributions to people in a biocultural landscape in Spain"
<p>This dataset includes the raw data of a survey of 203 local residents in the region of Las Hurdes, Spain. The dataset sheet presents respondents' Linkages toward traditional land uses, Land abandonment perception and impacts, main agricultural practices, and socio-demographic characteristics (age, education level, place of residence, etc). The survey was carried out by face-to-face and the data compilation was done manually. The complete method is described in: Quintas‑Soriano, C., Torralba, M., García‑Martín, M., Plieninger, T., (2023): Narratives of land abandonment in a biocultural landscape of Spain. Regional Environmental Change, in press.</p> <p>In this upload you can find 2 files:</p> <p>1- Database: this file contains the dataset with all the valid responses to the survey. blank spaces mean that the question was left unanswered by the respondents.</p> <p>2- Document of the face-to-face survey with all the questions and panels used for the social sampling.</p>
Data from: Spontaneous forest regrowth in South-West Europe: consequences for nature's contributions to people
<p><b><i>Context</i></b> European forests are expanding and becoming denser following the widespread abandonment of farmland and rural areas. Yet, little is known about the goods and services that spontaneous forest regrowth provide to people.</p> <p><b><i>Aims </i></b>We assessed the changes in nature's contributions to people (NCP) from spontaneous forest regrowth, i.e. forest expansion and densification, in South-West Europe.</p> <p><b><i>Methods </i></b>We investigated 65 forest plots in four different landscapes with contrasting ecological and societal contexts. Two landscapes are located in rural areas undergoing human exodus and forest expansion and densification; the other two, in peri-urban areas with intense land use and forest densification but negligible expansion. For each forest plot, we estimated variables related to ten out of the 18 main NCP defined by the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES). Regulating and material NCP were addressed using variables measured in the field as proxies. Non-material NCP were studied through stakeholder interviews.</p> <p><b><i>Results </i></b>Our results show across the cases that forest expansion and densification is generally associated with greater climate regulation and energy provision. Changes in other NCP, especially in non-material ones, were strongly context-dependent. The social perception of spontaneous forest regrowth was primarily negative in rural areas and more positive in peri-urban landscapes.</p> <p><b><i>Conclusion </i></b>Passive restoration through spontaneous forest expansion and densification can enhance regulating and material NCP, especially when adaptive management is applied. To optimise NCP and to increase the societal awareness of and interest in spontaneous forest regrowth, the effects of this process should be analysed in close coordination with local stakeholders to unveil and quantify the many and complex trade-offs involved in rural or peri-urban social perceptions.</p>
Data from: Spontaneous forest regrowth in South-West Europe: consequences for nature’s contributions to people
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Optimizing Forest Restoration: a holistic spatial approach to deliver Nature's Contributions to People with minimal trade-offs and maximal equity
<p>The datasets in this repository are the results of the study titled "Optimizing Forest Restoration: a holistic spatial approach to deliver Nature's Contributions to People (NCP) with minimal trade-offs and maximal equity". The study shows that forest restoration plans aimed at joint achievement of multiple NCP have minimal trade-offs between the NCP, optimize areas evenly across the potential restoration area considered and have maximal equity considering socioeconomically disadvantaged people in India, when compared to single NCP forest restoration plans. There are 3 NCP considered- climate change mitigation (MtC), biodiversity value NCP (number of forest depenend mamm species of 56 forest mammals considered, who restoration area target will be met)) and people NCP (number of people to whom livelihoods, energy and housing contruction material will be delivered). Single NCP forest restoration plans aim at only one of the three NCP considered at a time while the integrated plan is aimed at joint achievement of all three NCP. The peer-reviewed publication will be linked here after the peer-review process. <br><br>There are 5 datasets in this repository. The first titled opportunearea_10km_resample.tif is the potential forest restoration area considered in this study. The pixel values indicate the amount of potential forest restoration area within that pixel in sqm. The remaining 4 datasets are zipped files indicating each of the forest restoration plans considered. In each zipped file there are 100 raster files (.tif format). Each of the rasters provide the forest restoration area (first dataset) optimized for the respective type of forest restoration plan in 1% increments of the total potential restoration area. The naming format followed for each of these rasters is Y_NCPtype_optimality.tif, where Y is 1-100 and NCPType is either Biodiveristy, People, Carbon or Integrated. The pixel values in each of the rasters have a range of 0-1, where 0 means that restoration area (pixel) is not optimized for delivery of the respective NCP for that increment of total potential restoration area and 1 means the entire restoration area (pixel) has been optimized for delivery of the respective NCP. Proportional pixel values indicate that the respective proportion of the restoration area is optimal. <br><br>All rasters have pixel dimensions of 10 km x 10k (333, 325, 1 (nrow, ncol, nlyr)) with raster extent 7590450, 10840450, 902100, 4232100 (xmin, xmax, ymin, ymax) and WGS 1984 Psuedo Mercator (EPSG: 3857) coordinate reference system.</p>
Specialized and generalized non-material Nature's Contributions to People at Mount Kilimanjaro using Twitter posts.
<p>This dataset was collected as part of the Kili-SES research unit, Subproject 2, Work Package 2, which focuses on understanding the elements of nature that support non-material contributions, such as aesthetic enjoyment, recreation, and spirituality. Using the NCP paradigm, non-material contributions of nature to people (NCP) were identified through an inductive approach, together with the entities of nature (EN) mentioned in Twitter posts.</p> <p>This dataset builds on https://doi. org/10.5281/zenodo.14217191 by including those specific EN (and human-made features) mentioned by tourists on their Twitter posts - in order to enable evaluation of NCP-EN associations. <br><br>Overview: this dataset was collected in October 2021 using the R package academictwitteR with Twitter’s official Application Programming Interface keys (API; <a href="https://developer.twitter.com/en/docs" target="_blank" rel="nofollow noopener">https://developer.twitter.com/en/docs</a>). These are publicly available Tweets targeting Mount Kilimanjaro National Park (Tanzania) and its surroundings from 10 years (April 2011 to June 2021). Data were manually filtered and cleaned to preserve tourists' Tweets of their nature experiences at Mount Kilimanjaro, Tanzania. These final dataset contains 1255 entries, and each observation represents a Tweet that contains at least one non-material nature's contributions to people (non-material NCP) and one entity of nature mentioned by an individual.<br><br>Please refer to the README document to understand the data structure of this dataset, and the corresponding codes to characterize each non-material NCP as either specialized or generalized. <br><br>This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Research Unit 5064: “The role of nature for human well-being in the Kilimanjaro Social-Ecological System (Kili-SES)” (Project Number 428658210). </p>
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