Assessing the impacts of land use/cover changes on ecosystem service values in Rib watershed, Upper Blue Nile Basin, Ethiopia

Anleye, Melkamu Alebachew; Minale, Amare Sewnet; Ayehu, Nigusse Haregewoyn; Gashaw, Temesgen

doi:10.1016/j.tfp.2022.100212

Cited by 47 publications

(31 citation statements)

References 49 publications

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“…When a farmer's' home and a production site are far apart, on-time plot preparation, weeding, harvest and input utilization and farm revenue are less likely [34]. Out of the respondents at Jabi Tehnan, 97.6% indicated that maize production land distance from home was a 0-30 min walk.…”

Section: Production Land Distance From Homementioning

confidence: 99%

Socioeconomic determinants of maize production among north western Ethiopia's small-scale farmers: Evidence from three agro-ecology zones

Mitiku¹,

Zewdu²,

Yihenew³

et al. 2022

AJFAND

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Knowing the primary maize production constraints that could lead to poor productivity which in turn lower farm income is essential to close the gap between desire and actual yield. As a result, this survey was conducted to assess the constraints on maize production across West Gojjam Zone in three districts: Jabi Tehnan, Bahir Dar Zuriya, and Mecha. Based on maize production potential, coverage, and the importance of maize in the livelihood of farmers in the study area, 10 km by 10 km X and Y geographical coordinate points as the main grid, and a quadrangle 1 km by 1km square grid was generated. Data were gathered from primary and secondary sources. We used both qualitative and quantitative data collection techniques to gather primary data. A structured questionnaire was administered to 252 randomly selected sample farmers and their farms as part of the qualitative data collection. According to the findings, farmers in all three districts were dominantly married, of working age and with extensive farming experience. The smallest and most fragmented production land was located away from the house. The most common fertilizers were urea, DAP and NPS, from which a large proportion of the farmers used urea more than others and there was difficulty in getting fertilizers from regular sources and at the right time at all of the research sites. The majority of farmers in the research area utilized local seeds than improved seeds. Weed and insect pest attack in the maize field were very low. Furthermore, the largest portion of farmers had a very small production area which they plowed repeatedly. As a result of this study, it is possible to conclude that socioeconomic, fertilizer, seed and land preparation factors impact farmers in all three maize production systems. In this regard, it is suggested that more attention should be paid to these yield-limiting factors. Key words: Maize production, input, farming experience, Zea mays, land distributions, productivity, Ethiopia

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Section: Production Land Distance From Homementioning

confidence: 99%

Socioeconomic determinants of maize production among north western Ethiopia's small-scale farmers: Evidence from three agro-ecology zones

Mitiku¹,

Zewdu²,

Yihenew³

et al. 2022

AJFAND

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“…Therefore, recognizing and estimating the effects of LULCC on global, regional, and local ESVs is a practical approach for the evaluation of costs and benefits of sustainable land management decisions [ 25 , 26 , 27 ]. It also aids in the advance of a land-use planning framework that is compatible with the long-term sustainability of land resources [ 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

Study on the Evaluation and Assessment of Ecosystem Service Spatial Differentiation at Different Scales in Mountainous Areas around the Beijing–Tianjin–Hebei Region, China

Yang

Cao

Hou

2023

IJERPH

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Ecosystem services are closely related to human wellbeing—which refers to the basic material conditions required to maintain high standards of quality of life, of health, and of safety and security, as well as good social relationships, and freedom of choice and action—and have a high potential value. The adequate valuation of ecosystem service values (ESV) is now an urgent need for the implementation of policy measures such as ecosystem asset management, ecological compensation and paid use of ecosystem services. Based on the method of ecosystem value equivalent factor per unit area, in this paper we investigated the variability of total ESV spatial distribution and regional differences in the value of 11 ecosystem service types provided by ecosystems in the mountainous areas of the Beijing–Tianjin–Hebei (BTH) region at different spatial scales and discussed the relationship between ESV and land use land cover (LULC). The results show that the total ESVs in 2015 and 2020 in the mountainous areas of BTH region were 5671 × 108 CNY and 6381 × 108 CNY, respectively. The change trend of each ecosystem service value from 2015 to 2020 was dominated by an increase of water supply service, and the maintenance of soil and nutrient cycle services in the mountainous area of BTH and the Yanshan Mountain (YSM). The change patterns of the value of ecosystem service categories in the Taihang Moutain (THM) and Bashang region (BSR) are dominated by an increase in the value of maintained soil and water supply services and a decrease in the value of regulating services. The calculation of ESV can be made more accurate by considering climate and vegetation conditions at the region, ecosystem, county or township scales rather than at grid scale, as, for calculating the interannual variation of total ESV, the spatial scale variability is large. The assessment of ESVs is important from the point of view of planning the use of the environment, of spatial planning, and of nature conservation. The ecosystem service of woodland and water bodies are more prominent compared with other land-use types and construction land and bare land provide the lowest value of service. There is some similarity between the value changes of ecosystem service categories and the distribution of LULC types. This study strengthens the understanding of the spatial scales of different ESV in mountain areas, which is beneficial to ecosystem management policies.

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“…Many studies have carried out large-scale, high-specification calculations of ecological compensation standards to maintain the use of their natural resources (Hou et al, 2021). For example, under the full consideration of the service functions of each ecosystem, the ecosystem service value before and after the change in regional land use/cover has been evaluated, and the influencing factors and temporal and spatial changes have been analyzed to provide optimized information on ecosystem services for land-use planning (Aziz, 2020;Ma et al, 2020;Wu et al, 2020;Anley et al, 2022). There are many other methods used to measure ecological compensation for various ecosystems.…”

Section: Introductionmentioning

confidence: 99%

How to measure the ecological compensation threshold in the upper Yangtze River basin, China? An approach for coupling InVEST and grey water footprint

Guan

Cheng³

et al. 2022

Front. Earth Sci.

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Defining a reasonable and feasible watershed ecological compensation threshold is the key to protecting watershed ecological functions and maintaining the sustainable utilization of watershed ecosystems. However, many studies have obtained compensation values that are too high to promote the implementation of ecological compensation policies. This study chose the upper reaches of the Yangtze River as the research area, taking water resources closer to people’s daily needs as the evaluation object. Based on the InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) model and grey water footprint method, the ecological compensation threshold model for water resources was established. Combined with the eco-compensation priority sequence coefficient identification of protected areas and beneficiary areas and allowed for the measurement of the watershed ecological compensation value in 2015 and 2020. Finally, compare the advantages and disadvantages of different ecological compensation calculation methods, compare the gap between different watershed ecological compensation standards and the theoretical threshold globally. The results showed that from 2015 to 2020, the value of the water content in the upper reaches of the Yangtze River increased, while the value of the grey water footprint decreased. The classified watershed ecological compensation beneficiary areas were mainly concentrated in the central-eastern and southern parts of the upper Yangtze River, while the ecological compensation protected areas were concentrated in the western and northwestern parts. The mean absolute values of the watershed ecological compensation thresholds for each prefecture-level city and state ranged from 0.43 to 24.63 billion CNY in 2015 and from 0.67 to 41.60 billion CNY in 2020, which were close to the actual values. Among the different land-use types, the water conservation service value per unit area of shrubs was the highest. The lower limit value of watershed ecological compensation calculated using the grey water footprint method was closer to the amount of compensation in practice than was the commonly used opportunity cost method. The findings of the study can help improve the watershed ecological compensation mechanism in the upper Yangtze River region, promote win–win cooperation among transboundary watershed areas, and form a harmonious and stable green development model.

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Assessing the impacts of land use/cover changes on ecosystem service values in Rib watershed, Upper Blue Nile Basin, Ethiopia

Cited by 47 publications

References 49 publications

Socioeconomic determinants of maize production among north western Ethiopia's small-scale farmers: Evidence from three agro-ecology zones

Socioeconomic determinants of maize production among north western Ethiopia's small-scale farmers: Evidence from three agro-ecology zones

Study on the Evaluation and Assessment of Ecosystem Service Spatial Differentiation at Different Scales in Mountainous Areas around the Beijing–Tianjin–Hebei Region, China

How to measure the ecological compensation threshold in the upper Yangtze River basin, China? An approach for coupling InVEST and grey water footprint

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