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      Indigenous communities’ perceptions reveal threats and management options of wild edible plants in semiarid lands of northwestern Kenya

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          Abstract

          Background

          Understanding how local communities perceive threats and management options of wild edible plants (WEPs) is essential in developing their conservation strategies and action plans. Due to their multiple use values, including nutrition, medicinal, construction, and cultural as well as biotic and abiotic pressures, WEPs are exposed to overexploitation, especially within arid and semiarid lands, and hence the need to manage and conserve them. We demonstrate how an understanding of indigenous communities’ perceptions could be achieved through an integrated participatory approach involving focus group discussions (FGDs) and field plot surveys.

          Methods

          We conducted three FGDs between October 2020 and April 2021 within three community units in northwestern Kenya with different socioeconomic and environmental characteristics. We subsequently surveyed 240 field plots of size 1 ha each to assess threats facing WEPs within a 5 km buffer radius in every study community. We compared ranks of threats and management options across community units.

          Results

          Rankings of threats and management options differed across the three study communities. We obtained strong positive linear relationships between field and FGD rankings of threats facing WEPs. Climate change, overstocking, overharvesting, and invasive species were the highest-ranked threats. Mitigation of climate change, local knowledge preservation, selection, propagation, processing, and marketing of WEPs ranked high among possible management options irrespective of the socioeconomic and environmental characteristics of the community unit.

          Conclusions

          Our approach emphasizes the relevance of leveraging indigenous communities’ perceptions and conducting field plot surveys to assess threats and management options for WEPs. Evaluating the effectiveness and cost–benefit implications of implementing the highly ranked management options could help determine potentially suitable habitats of the WEPs for conservation and management purposes, especially for priority WEPs.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13002-023-00584-6.

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          Most cited references48

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          The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes

          The Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset builds on previous approaches to ‘smart’ interpolation techniques and high resolution, long period of record precipitation estimates based on infrared Cold Cloud Duration (CCD) observations. The algorithm i) is built around a 0.05° climatology that incorporates satellite information to represent sparsely gauged locations, ii) incorporates daily, pentadal, and monthly 1981-present 0.05° CCD-based precipitation estimates, iii) blends station data to produce a preliminary information product with a latency of about 2 days and a final product with an average latency of about 3 weeks, and iv) uses a novel blending procedure incorporating the spatial correlation structure of CCD-estimates to assign interpolation weights. We present the CHIRPS algorithm, global and regional validation results, and show how CHIRPS can be used to quantify the hydrologic impacts of decreasing precipitation and rising air temperatures in the Greater Horn of Africa. Using the Variable Infiltration Capacity model, we show that CHIRPS can support effective hydrologic forecasts and trend analyses in southeastern Ethiopia.
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            Past and Future Use of Wild Relatives in Crop Breeding

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              Environmental Income and Rural Livelihoods: A Global-Comparative Analysis

              Summary This paper presents results from a comparative analysis of environmental income from approximately 8000 households in 24 developing countries collected by research partners in CIFOR’s Poverty Environment Network (PEN). Environmental income accounts for 28% of total household income, 77% of which comes from natural forests. Environmental income shares are higher for low-income households, but differences across income quintiles are less pronounced than previously thought. The poor rely more heavily on subsistence products such as wood fuels and wild foods, and on products harvested from natural areas other than forests. In absolute terms environmental income is approximately five times higher in the highest income quintile, compared to the two lowest quintiles.
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                Author and article information

                Contributors
                wyclifeoluoch@gmail.com
                Journal
                J Ethnobiol Ethnomed
                J Ethnobiol Ethnomed
                Journal of Ethnobiology and Ethnomedicine
                BioMed Central (London )
                1746-4269
                4 May 2023
                4 May 2023
                2023
                : 19
                : 13
                Affiliations
                [1 ]GRID grid.10388.32, ISNI 0000 0001 2240 3300, Center for Development Research (ZEF), , University of Bonn, ; Bonn, Germany
                [2 ]GRID grid.10388.32, ISNI 0000 0001 2240 3300, Institute of Crop Science and Resource Conservation (INRES), Horticultural Sciences, , University of Bonn, ; Bonn, Germany
                [3 ]GRID grid.459613.c, ISNI 0000 0004 7592 6465, Alliance of Bioversity International and International Center for Tropical Agriculture (CIAT), ; Nairobi, Kenya
                [4 ]GRID grid.11046.32, ISNI 0000 0001 0656 5756, Geography Section, , University of Passau, ; Passau, Germany
                Article
                584
                10.1186/s13002-023-00584-6
                10161424
                37143165
                2124caf8-e2ff-4c54-9f17-399fe116dbc7
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 1 February 2023
                : 23 April 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100011099, Deutsche Gesellschaft für Internationale Zusammenarbeit;
                Award ID: 81235248
                Award Recipient :
                Funded by: Rheinische Friedrich-Wilhelms-Universität Bonn (1040)
                Categories
                Research
                Custom metadata
                © The Author(s) 2023

                Health & Social care
                conservation,sustainable use,wild food plants,integrated participatory approach,field survey,focus group discussion,local knowledge,kenya

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