Monitoring and Management of Agroforestry using SmartAG [Portugal]
- Creation:
- Update:
- Compiler: Patrícia Lourenço
- Editor: –
- Reviewers: Joana Eichenberger, William Critchley, Rima Mekdaschi Studer
Agroforestry in Montado and Dehesa
technologies_7126 - Portugal
View sections
Expand all Collapse all1. General information
1.2 Contact details of resource persons and institutions involved in the assessment and documentation of the Technology
Key resource person(s)
SLM specialist:
Lourenço Patrícia
AgroInsider
Portugal
SLM specialist:
Marques da Silva José Rafael
AgroInsider
Portugal
SLM specialist:
Paixão Luís
AgroInsider
Portugal
1.3 Conditions regarding the use of data documented through WOCAT
The compiler and key resource person(s) accept the conditions regarding the use of data documented through WOCAT:
Yes
1.4 Declaration on sustainability of the described Technology
Is the Technology described here problematic with regard to land degradation, so that it cannot be declared a sustainable land management technology?
No
2. Description of the SLM Technology
2.1 Short description of the Technology
Definition of the Technology:
The Montado/ Dehesa Agroforestry system contributes to carbon sequestration in Spain and Portugal. The SmartAG app helps in monitoring and management of these systems, providing data available to farmers, producers, and stakeholders.
2.2 Detailed description of the Technology
Description:
The SmartAG model is mainly applied in the Montado (Portugal) and Dehesa (Spain) agroforestry systems which serve as a biodiversity oasis in the
Mediterranean region. They are currently being heavily impacted by climate change.
It contributes to achieving carbon sequestration potential. The SmartAG model is also applied in agriculture systems in Portugal, Spain, Greece, The Netherlands, Indonesia and Ukraine. Nevertheless, it can be applied in any part of the world. The SmartAG app provides accurate Agricultural Climate Services on a large-scale, available to farmers, producers, and stakeholders. The model analyzes agronomic anomalies to reduce CO2 emissions and promote CO2 sequestration in the soil, via remote sensing. Additionally, it seeks to remotely analyze farms by evaluating the spatiotemporal dynamics occurring in agroforestry activities for the same purposes.
Through data collection on land use, mapping, remote sensing and in situ data collection, an assessment of the initial state of the farm is carried out, along a carbon balance, to establish a reference scenario (baseline year). Future projections are made, and recommendations formulated.
Users appreciate this methodology because it helps them conserve or increase current carbon stocks, potentially creating a new source of income through the sale
of carbon credits. SmartAG is a highly user-friendly app which records georeferenced evidence of existing conditions and activities. It facilitates a transparent and participatory process in agroforestry ecosystem management.
SmartAG automatically processes data from Sentinel-1 and Sentinel-2 data, and LST data for thermo-climatic zoning. These data: i) allow monitoring, reporting and verification of farms; ii) provide machine learning capabilities in agroforestry and environmental data.
Based on Sentinel data, spectral vegetation indices are calculated to identify: i) crop anomalies related to soil-water-plant; ii) management zones to define different land uses, the selection of sampling locations and sensor installation sites, water sampling locations, and identification of species for biodiversity quantification.
The Montado/Dehesa is a slow-developing and very complex agroforestry system meaning that differences will be observable only at the end of a year or longer. In addition, it is a highly stratified system, consisting of a complex arboreal structure with trees of different ages, shrubs, and herbaceous vegetation. Given the limitations of Sentinel-1 and Sentinel-2 satellites it is essential to record georeferenced evidence of these. Using SmartAG app developed by AgroInsider allows the collection of georeferenced evidence (e.g., photos, audios, and videos) of
the vegetation structures, as well as documenting evidence of processes occurring such as ecosystem services and biodiversity. Georeferenced evidence is automatically uploaded into the system.
2.3 Photos of the Technology
2.4 Videos of the Technology
Comments, short description:
https://www.youtube.com/watch?v=zxKjnAAkSI0
Date:
16/06/2023
Location:
Évora, Portugal
Name of videographer:
Filipa Santos
2.5 Country/ region/ locations where the Technology has been applied and which are covered by this assessment
Country:
Portugal
Region/ State/ Province:
Alentejo
Specify the spread of the Technology:
- evenly spread over an area
If the Technology is evenly spread over an area, specify area covered (in km2):
100000.0
Is/are the technology site(s) located in a permanently protected area?
Yes
If yes, specify:
Montado and Dehesa constitute a Very High Nature Value agroforestry system which is under protection.
Map
×2.6 Date of implementation
Indicate year of implementation:
2023
2.7 Introduction of the Technology
Specify how the Technology was introduced:
- during experiments/ research
Comments (type of project, etc.):
In 2023 AgroInsider started the implementation of the LMT and SmartAG monitoring in Agroforestry system case studies in Montado, in Portugal, and Dehesa, in Spain.
3. Classification of the SLM Technology
3.1 Main purpose(s) of the Technology
- reduce, prevent, restore land degradation
- conserve ecosystem
- protect a watershed/ downstream areas – in combination with other Technologies
- preserve/ improve biodiversity
- mitigate climate change and its impacts
3.2 Current land use type(s) where the Technology is applied
Land use mixed within the same land unit:
Yes
Specify mixed land use (crops/ grazing/ trees):
- Agro-silvopastoralism
Grazing land
Extensive grazing:
- Ranching
- Transhumant pastoralism
Intensive grazing/ fodder production:
- Improved pastures
Animal type:
- cattle - non-dairy beef
- poultry
- sheep
Is integrated crop-livestock management practiced?
No
Products and services:
- meat
- milk
- whool
Species:
sheep
Count:
40
Species:
cattle - dairy and beef (e.g. zebu)
Count:
40
Forest/ woodlands
- (Semi-)natural forests/ woodlands
(Semi-)natural forests/ woodlands: Specify management type:
- Dead wood/ prunings removal
- Mediterranean Agroforestry System (Montado/Dehesa)
- cork holm, cork oak
Are the trees specified above deciduous or evergreen?
- evergreen
Products and services:
- Fruits and nuts
- Nature conservation/ protection
- cork
3.3 Has land use changed due to the implementation of the Technology?
Has land use changed due to the implementation of the Technology?
- No (Continue with question 3.4)
3.4 Water supply
Water supply for the land on which the Technology is applied:
- rainfed
3.5 SLM group to which the Technology belongs
- agroforestry
- pastoralism and grazing land management
- improved ground/ vegetation cover
3.6 SLM measures comprising the Technology
vegetative measures
- V1: Tree and shrub cover
- V2: Grasses and perennial herbaceous plants
management measures
- M1: Change of land use type
- M2: Change of management/ intensity level
3.7 Main types of land degradation addressed by the Technology
chemical soil deterioration
- Cn: fertility decline and reduced organic matter content (not caused by erosion)
- Ca: acidification
physical soil deterioration
- Pc: compaction
3.8 Prevention, reduction, or restoration of land degradation
Specify the goal of the Technology with regard to land degradation:
- prevent land degradation
- reduce land degradation
4. Technical specifications, implementation activities, inputs, and costs
4.1 Technical drawing of the Technology
Technical specifications (related to technical drawing):
The LMT will be implemented on a farm with montado/dehesa (minimum area of 100 ha). Satellite data is used to characterize land use. After identifying the montado/dehesa area, field sampling is conducted. These data, along with satellite imagery, will be used to calculate the total CO2eq stock (above and below ground biomass) and estimate CO2eq sequestration. Farmers are encouraged to enhance LMT effectiveness, notably by engaging in ecosystem-value activities such as avoiding soil disturbance to preserve soil organic matter, increasing tree density, and maintaining water mirrors. Farmers will record georeferenced evidence of improvement activities and existing biodiversity in the montado and in other areas of the farm using the SmartAG developed by AgroInsider. This app will allow to monitor, report and verify carbon stocks through weekly alert reports, enabling the identification of carbon anomalies/losses over time and space.
Author:
Patrícia Lourenço
Date:
23/04/2024
4.2 General information regarding the calculation of inputs and costs
Specify how costs and inputs were calculated:
- per Technology area
Indicate size and area unit:
100 ha
other/ national currency (specify):
Euro (€)
Indicate average wage cost of hired labour per day:
3590 €
4.3 Establishment activities
Activity | Timing (season) | |
---|---|---|
1. | Select a farm with montado/dehesa (minimum area of 100 ha) | In the baseline year |
2. | Characterization of the land use using satellite data in the baseline year | In the baseline year |
3. | Field sampling in the montado/dehesa area | In the baseline year |
4. | Field data along with satellite imagery will be used to calculate the total CO2eq stock (above and below ground biomass) and estimate CO2eq sequestration | In the baseline year |
5. | Farmers are encouraged to enhance LMT effectiveness, notably by engaging in ecosystem-value activities such as avoiding soil disturbance to preserve soil organic matter, increasing tree density, and maintaining water mirrors | In the baseline year |
6. | Farmers will record georeferenced evidence of improvement activities and existing biodiversity in the montado and in other areas of the farm using the SmartAG developed by AgroInsider | Whenever farmers go to the field |
7. | After calculating the CO2eq stock and CO2eq sequestration estimates for the baseline year, SmartAG will allow to monitor, report and verify (MRV) carbon stocks through weekly alert reports. The MRV will enable the identification of carbon anomalies/losses over time and space | Weekly |
4.4 Costs and inputs needed for establishment
Specify input | Unit | Quantity | Costs per Unit | Total costs per input | % of costs borne by land users | |
---|---|---|---|---|---|---|
Labour | Data preprocessing before heading to the field | Hour | 4.0 | 20.0 | 80.0 | 0.0 |
Labour | Field data collection | Hour | 24.0 | 20.0 | 480.0 | 0.0 |
Labour | Post-processing of field and satellite data | Hour | 4.0 | 20.0 | 80.0 | 0.0 |
Labour | Improvement suggestions | Hour | 8.0 | 20.0 | 160.0 | 0.0 |
Labour | Emission estimates | Hour | 40.0 | 20.0 | 800.0 | 0.0 |
Equipment | Car renting | Day | 1.0 | 60.0 | 60.0 | 0.0 |
Equipment | Fuel | Km | 350.0 | 0.4 | 140.0 | 0.0 |
Plant material | Soil sampling | Samples | 3.0 | 70.0 | 210.0 | 0.0 |
Other | 1.0 | |||||
Total costs for establishment of the Technology | 2010.0 | |||||
Total costs for establishment of the Technology in USD | 2010.0 |
If land user bore less than 100% of costs, indicate who covered the remaining costs:
The costs are covered by AgroInsider
Comments:
This value varies depending on the distance from AgroInsider's headquarters to the farm, the farm's area, and carbon-emitting farm activities (i.e., agricultural activities).
4.5 Maintenance/ recurrent activities
Activity | Timing/ frequency | |
---|---|---|
1. | Calculate the total CO2eq stock (above and below ground biomass) and estimate CO2eq sequestration | In the baseline year |
2. | MRV carbon stocks | Weekly |
3. | Record georeferenced evidence | Whenever farmers go to the field |
4.7 Most important factors affecting the costs
Describe the most determinate factors affecting the costs:
Human resources, farm area, and the quantity of carbon-emitting farm activities (i.e., agricultural activities).
5. Natural and human environment
5.1 Climate
Annual rainfall
- < 250 mm
- 251-500 mm
- 501-750 mm
- 751-1,000 mm
- 1,001-1,500 mm
- 1,501-2,000 mm
- 2,001-3,000 mm
- 3,001-4,000 mm
- > 4,000 mm
Specifications/ comments on rainfall:
Montado/Dehesa is influenced by the Mediterranean climate, characterized by a great variability in precipitation and temperature in each year and between years, presenting a hot summer lasting more than four months, associated with a high irregularity in precipitation, both inter- and intra-annually. In this climate, natural droughts are recurrent.
Agro-climatic zone
- semi-arid
More recent data for the agricultural years 2015/2016, 2016/2017, and 2017/2018 report values for cumulative precipitation for the Évora region (Alentejo) of 547 mm, 421 mm, and 612 mm, respectively. However, in the same region, in the 2018/2019 crop year, there was only 315 mm of precipitation, while in the following year, this value already reached 627 mm.
It is common in the Alentejo region to have several days with temperatures above 40 ◦C in summer and with minimum temperatures below 0 ◦C in winter. In the Estremadura region, the average minimum temperature recorded was 3.4 ◦C, and the average maximum temperature was 35.6 ◦C.
5.2 Topography
Slopes on average:
- flat (0-2%)
- gentle (3-5%)
- moderate (6-10%)
- rolling (11-15%)
- hilly (16-30%)
- steep (31-60%)
- very steep (>60%)
Landforms:
- plateau/plains
- ridges
- mountain slopes
- hill slopes
- footslopes
- valley floors
Altitudinal zone:
- 0-100 m a.s.l.
- 101-500 m a.s.l.
- 501-1,000 m a.s.l.
- 1,001-1,500 m a.s.l.
- 1,501-2,000 m a.s.l.
- 2,001-2,500 m a.s.l.
- 2,501-3,000 m a.s.l.
- 3,001-4,000 m a.s.l.
- > 4,000 m a.s.l.
Indicate if the Technology is specifically applied in:
- not relevant
5.3 Soils
Soil depth on average:
- very shallow (0-20 cm)
- shallow (21-50 cm)
- moderately deep (51-80 cm)
- deep (81-120 cm)
- very deep (> 120 cm)
Soil texture (topsoil):
- coarse/ light (sandy)
- medium (loamy, silty)
Soil texture (> 20 cm below surface):
- coarse/ light (sandy)
- medium (loamy, silty)
Topsoil organic matter:
- medium (1-3%)
5.4 Water availability and quality
Availability of surface water:
poor/ none
Water quality (untreated):
for agricultural use only (irrigation)
Is water salinity a problem?
No
Is flooding of the area occurring?
No
5.5 Biodiversity
Species diversity:
- medium
Habitat diversity:
- high
Comments and further specifications on biodiversity:
The Agroforestry system Montado, in Portugal, and Dehesa, in Spain, is a High Nature Value system characterized by a high complexity because of the interactions between climate, soil, pasture (natural pastures, fertilized natural pastures, and sown biodiverse permanent pastures rich in legumes), trees (e.g., pure or mix stands of cork oak, holm oak, stone pine), and animals (e.g., sheep, pigs, cows, goats). Montado/Dehesa is one of the most prominent and best preserved low-intensity farming systems in Europe. The integration of traditional land-use and biodiversity conservation that is characteristic of this system is an exemplar for the wise management of the countryside.
5.6 Characteristics of land users applying the Technology
Sedentary or nomadic:
- Sedentary
Market orientation of production system:
- mixed (subsistence/ commercial)
Off-farm income:
- 10-50% of all income
Relative level of wealth:
- average
Individuals or groups:
- individual/ household
- cooperative
Level of mechanization:
- mechanized/ motorized
Gender:
- women
- men
Age of land users:
- middle-aged
- elderly
5.7 Average area of land used by land users applying the Technology
- < 0.5 ha
- 0.5-1 ha
- 1-2 ha
- 2-5 ha
- 5-15 ha
- 15-50 ha
- 50-100 ha
- 100-500 ha
- 500-1,000 ha
- 1,000-10,000 ha
- > 10,000 ha
Is this considered small-, medium- or large-scale (referring to local context)?
- large-scale
5.8 Land ownership, land use rights, and water use rights
Land ownership:
- individual, titled
Land use rights:
- individual
Water use rights:
- individual
Are land use rights based on a traditional legal system?
Yes
5.9 Access to services and infrastructure
health:
- poor
- moderate
- good
education:
- poor
- moderate
- good
technical assistance:
- poor
- moderate
- good
employment (e.g. off-farm):
- poor
- moderate
- good
markets:
- poor
- moderate
- good
energy:
- poor
- moderate
- good
roads and transport:
- poor
- moderate
- good
drinking water and sanitation:
- poor
- moderate
- good
financial services:
- poor
- moderate
- good
6. Impacts and concluding statements
6.1 On-site impacts the Technology has shown
Socio-economic impacts
Production
forest/ woodland quality
Comments/ specify:
Conservation and preservation of the Montado and Dehesa.
Estimated
land management
Comments/ specify:
Conservation and preservation of the Montado and Dehesa.
Estimated
Income and costs
farm income
Comments/ specify:
Selling carbon credits in the voluntary market
Estimated
Ecological impacts
Biodiversity: vegetation, animals
Vegetation cover
Comments/ specify:
MRV and Implementation of improvements in Montado/Dehesa.
Estimated
biomass/ above ground C
Comments/ specify:
MRV, Recording evidence and Implementation of improvements in Montado/Dehesa.
Measured
plant diversity
Comments/ specify:
MRV, Recording evidence of reforestation of young growth and Implementation of improvements in Montado/Dehesa.
Estimated
habitat diversity
Comments/ specify:
MRV, Recording evidence and Implementation of improvements in Montado/Dehesa.
Estimated
Climate and disaster risk reduction
emission of carbon and greenhouse gases
Comments/ specify:
MRV, Recording evidence, Calculation of emissions and Implementation of improvements in Montado/Dehesa.
Measured
fire risk
Comments/ specify:
MRV and Implementation of improvements in Montado/Dehesa. Estimated
6.2 Off-site impacts the Technology has shown
Specify assessment of off-site impacts (measurements):
None
6.3 Exposure and sensitivity of the Technology to gradual climate change and climate-related extremes/ disasters (as perceived by land users)
Gradual climate change
Gradual climate change
Season | increase or decrease | How does the Technology cope with it? | |
---|---|---|---|
annual temperature | increase | moderately | |
annual rainfall | decrease | moderately |
Climate-related extremes (disasters)
Climatological disasters
How does the Technology cope with it? | |
---|---|
heatwave | moderately |
drought | moderately |
forest fire | moderately |
6.4 Cost-benefit analysis
How do the benefits compare with the establishment costs (from land users’ perspective)?
Short-term returns:
slightly positive
Long-term returns:
positive
How do the benefits compare with the maintenance/ recurrent costs (from land users' perspective)?
Short-term returns:
positive
Long-term returns:
slightly positive
6.5 Adoption of the Technology
- > 50%
Of all those who have adopted the Technology, how many did so spontaneously, i.e. without receiving any material incentives/ payments?
- 51-90%
6.6 Adaptation
Has the Technology been modified recently to adapt to changing conditions?
No
6.7 Strengths/ advantages/ opportunities of the Technology
Strengths/ advantages/ opportunities in the land user’s view |
---|
Desertification combat efforts. |
Diversifying income sources |
Montado/dehesa conservation initiatives |
Strengths/ advantages/ opportunities in the compiler’s or other key resource person’s view |
---|
New income source |
Montado/dehesa conservation |
Maintenance and increase of carbon stock. |
6.8 Weaknesses/ disadvantages/ risks of the Technology and ways of overcoming them
Weaknesses/ disadvantages/ risks in the land user’s view | How can they be overcome? |
---|---|
Price of carbon credit in the voluntary market | Selling abroad of Portugal |
Delay in the implementation of the voluntary carbon market |
Weaknesses/ disadvantages/ risks in the compiler’s or other key resource person’s view | How can they be overcome? |
---|---|
Delay in the implementation of the voluntary carbon market | Selling abroad of Portugal |
Certified credits before the entry of the new law on the voluntary carbon market by the European Union | Quantify and recertify. |
7. References and links
7.1 Methods/ sources of information
- field visits, field surveys
One visit per farm
- interviews with land users
4
- interviews with SLM specialists/ experts
1
When were the data compiled (in the field)?
2022
7.2 References to available publications
Title, author, year, ISBN:
Pinto-Correia, T., & Mira Potes, J. (2013). Livro verde dos montados.
Available from where? Costs?
https://dspace.uevora.pt/rdpc/bitstream/10174/10116/1/Livro%20Verde%20dos%20Montados_Versao%20online%20%202013.pdf
Title, author, year, ISBN:
Lourenço, Patrícia, & Silva, José Rafael Marques (2023). How our portfolio of land-use practices might be adopted at scale in Portugal
Available from where? Costs?
https://static1.squarespace.com/static/5f7b27859c352b2444f4cbd9/t/64a5440ac47212047978bc68/1688552460748/Portugal.pdf
Links and modules
Expand all Collapse allLinks
No links
Modules
No modules