Dataset for the evaluation of forest and landscape restoration in Northern Ethiopia (ICPSR doi:10.34725/DVN/ZUK436)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Dataset for the evaluation of forest and landscape restoration in Northern Ethiopia

Identification Number:

doi:10.34725/DVN/ZUK436

Distributor:

World Agroforestry (ICRAF)

Date of Distribution:

2022-07-25

Version:

1

Bibliographic Citation:

Tamba, Yvonne; Wafula, Joshua; Whitney Cory; Luedeling Eike; Aynekulu Ermias, 2022, "Dataset for the evaluation of forest and landscape restoration in Northern Ethiopia", https://doi.org/10.34725/DVN/ZUK436, World Agroforestry (ICRAF), V1, UNF:6:Yt/GQ+qPMFqLX2P2FlIK4g== [fileUNF]

Study Description

Citation

Title:

Dataset for the evaluation of forest and landscape restoration in Northern Ethiopia

Identification Number:

doi:10.34725/DVN/ZUK436

Authoring Entity:

Tamba, Yvonne (World Agroforestry (ICRAF))

Wafula, Joshua (World Agroforestry (ICRAF))

Whitney Cory (Bonn University)

Luedeling Eike (Bonn University)

Aynekulu Ermias (World Agroforestry (ICRAF))

Other identifications and acknowledgements:

World Agroforestry (ICRAF)

Other identifications and acknowledgements:

CGIAR Research Program on Water, Land and Ecosystems (WLE)

Producer:

World Agroforestry

Distributor:

World Agroforestry (ICRAF)

Distributor:

World Agroforestry

Access Authority:

Aynekulu Ermias

Depositor:

Karari, Valentine

Date of Deposit:

2022-01-28

Study Scope

Keywords:

Agricultural Sciences, Earth and Environmental Sciences, Social Sciences, Forest restoration, Decision analysis, Impact evaluation

Abstract:

This dataset was used to apply the Stochastic Impact Evaluation (SIE) framework in the simulation of returns on investment in biophysical and socio-economic interventions. The study was carried out in a degraded dry Afromontane forest in northern Ethiopia. We used an expert knowledge elicitation approach to acquire the data from decision-makers and community stakeholders. We also developed a probabilistic model of the decision’s costs and benefits while accounting for risks and uncertainties and projected outcomes over time. The data shared here captures all the parameters considered important in the impact pathway (i.e. the expected benefits, costs, and risks) of the decision. The data can be used to examine the impact of Forest Landscape Restoration (FLR) projects on livelihoods as well as landscapes.

Time Period:

2018-12-01-2019-10-30

Country:

Ethiopia

Geographic Coverage:

Tigray region, Desa'a state forest

Unit of Analysis:

Forest landscape

Kind of Data:

Biophysical and Socio-economic data

Methodology and Processing

Time Method:

25 year simulations

Data Collector:

World Agroforestry (ICRAF)

Sampling Procedure:

We applied purposive sampling to identify key informants who had knowledge of the local context of environmental management, forest resource management and agricultural value chains. To develop the conceptual model, we also held a focus group discussion with 12 male and eight female members of the local community, two development agents and two community leaders in the project area. The same sampling method was also used to identify subject matter experts to parameterise the mathematical model.

Mode of Data Collection:

Range estimates were supplied by key informants who were taken through calibration training. The training aimed to improve the capacity of subject matter experts to make estimates for which they are 90% confident that the actual values lie within the provided ranges. We used Klein's Pre-mortem (Klein, 2007) and the equivalent-bet technique, which have been proven to measurably improve an expert's ability to provide accurate estimates (Hubbard, 2014).

Type of Research Instrument:

Structured questionnaire and interviews

Sources Statement

Data Access

Notes:

CC0 Waiver

Other Study Description Materials

Related Publications

Citation

Identification Number:

10625/930

Bibliographic Citation:

Bene JG, Beall HW, and Côté A. 1977. Trees, Food and People: Land Management in the Tropics. International Development Research Center: Ottawa, Canada.

Citation

Identification Number:

10.1017/S0014479716000181

Bibliographic Citation:

Coe R, Njoloma J, and Sinclair F. 2019. Loading the dice in favour of the farmer: reducing the risk of adopting agronomic innovations. Experimental Agriculture 55(S1):67–83.

Citation

Identification Number:

10.1017/S0014479716000193

Bibliographic Citation:

Vanlauwe B, Coe R, and Giller KE. 2019. Beyond averages: New approaches to understand heterogeneity and risk of technology success or failure in smallholder farming. Experimental Agriculture 55(S1):84–106.

Citation

Identification Number:

10.1017/S0014479719000139

Bibliographic Citation:

Sinclair F & Coe R. 2019. The options by context approach: A paradigm shift in agronomy. Experimental Agriculture, 55(S1), 1-13.

Citation

Identification Number:

10.1007/BF00119124

Bibliographic Citation:

Raintree JB. 1987. The state of the art of agroforestry diagnosis and design. In Agroforestry Systems (Vol. 5).

File Description--f11444

File: Desaa_FLR_inputs_Legend.tab

  • Number of cases: 180

  • No. of variables per record: 2

  • Type of File: text/tab-separated-values

Notes:

UNF:6:1jJ6IPby9ljjQtlqeq6n6g==

File Description--f11437

File: Desaa_model_inputs.tab

  • Number of cases: 171

  • No. of variables per record: 6

  • Type of File: text/tab-separated-values

Notes:

UNF:6:1GaFNaCHvPO+IBEN6/4rKg==

Variable Description

List of Variables:

Variables

variable

f11444 Location:

Variable Format: character

Notes: UNF:6:3FbiHxbhJ8A9dJSwO76XXQ==

label

f11444 Location:

Variable Format: character

Notes: UNF:6:ZX+1cK8C0f12+dFgIfwSrw==

description

f11437 Location:

Variable Format: character

Notes: UNF:6:JMKjD/5R2ja6T2mZKwCYnQ==

lower

f11437 Location:

Summary Statistics: Max. 19000.0; StDev 1916.237714343854; Min. 0.001; Mean 384.00686215538; Valid 171.0;

Variable Format: numeric

Notes: UNF:6:MpmWhN89ogq7jNsPD1sj2w==

median

f11437 Location:

Summary Statistics: Valid 0.0; StDev NaN; Min. NaN; Max. NaN; Mean NaN

Variable Format: numeric

Notes: UNF:6:iudJiwH0Dp0qBN+KipHMCw==

upper

f11437 Location:

Summary Statistics: Min. 0.01; Max. 20000.0; Mean 447.11657479532204; Valid 171.0; StDev 1999.807495814378;

Variable Format: numeric

Notes: UNF:6:3RTg6W1St0bmK+4OaSPMpQ==

distribution

f11437 Location:

Variable Format: character

Notes: UNF:6:D307OuNtD76DBw51vSbt7g==

variable

f11437 Location:

Variable Format: character

Notes: UNF:6:mCc/sFODiZalCn+PYph2pA==

Other Study-Related Materials

Label:

Desaa_FLR_model.R

Notes:

type/x-r-syntax

Other Study-Related Materials

Label:

Desaa_restoration_markdown.pdf

Notes:

application/pdf