Abstract
Mediterranean dryland sheep farms face interconnected challenges of high greenhouse gas emission intensity and progressive land degradation driven by continuous, unmanaged grazing. Rotational grazing (RG) has been proposed as an integrated response, but field evidence documenting the climate outcomes of real farm-level grazing management transitions remains scarce. This study quantifies the carbon footprint (CF) of a commercial Montado sheep farm in Mediterranean drylands (Alentejo, Portugal) before and after a management transition implemented in 2018, using a cradle-to-farm-gate life cycle assessment and 100-year global warming potentials from the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Prior to 2018, the farm operated under continuous grazing with documented land degradation and soil organic carbon below 2%. In 2018, the farm converted to RG through paddock restructuring, reduced stocking pressure, and a progressive reduction of external feed and fertilizer inputs. Total farm emissions were 34% lower in the post-transition period (1,165.1 t CO2-eq yr-1) than pre-transition (1,756.6 t CO2-eq yr-1), driven by reduced feed, fertilizer, and fuel inputs. Farm operations showed the largest reduction (59%), while enteric fermentation remained the dominant source in both periods. The gross CF of lamb meat decreased from 16.2 to 12.7 kg CO2-eq kg-1 live weight (LW) following the transition. Post-transition soil carbon (C) accrual was estimated at 2.47 to 2.9 t C ha-1 yr-1 across 200 ha of pasture, consistent with early-phase recovery from a severely degraded, low-carbon baseline. When incorporated into net C accounting, the farm shifted to a C sink, giving a net carbon footprint of −7.1 kg CO2-eq kg-1 LW after accounting for soil carbon accrual. These findings demonstrate that a whole-farm grazing management transition can simultaneously reduce emission intensity, generate measurable soil C accrual, and deliver ecosystem services, with direct relevance to C farming policy and climate strategy for Mediterranean dryland livestock systems.
1 Introduction
Land degradation and livestock-related greenhouse gas (GHG) emissions are two key sustainability issues associated with pasture management in the Mediterranean region. Decades of continuous, conventional grazing across the region, combined with intensifying climate change towards drier conditions, as well as increased fire risk, have progressively depleted soil organic carbon (SOC), destabilized pasture vegetation, decreased the carbon (C) mitigation potential of pastures, and increased desertification risk (; ; ). In addition, the increase in herd size, observed in Mediterranean extensive pastoral systems in the past decades (), has increased the risk of pasture degradation and the dependence on external feed inputs (; ; ; ). Agricultural intensification and soil degradation contribute to increasing the net GHG emissions balance of pastures (GHG per ha). In 2023, livestock emissions (4.3 Gt CO2-eq) were the largest single component of the global agrifood system (16.5 Gt CO2-eq), followed by deforestation (2.8 Gt CO2-eq), and packaging, transport and retail (1.4 Gt CO2-eq) ().
The European Union (EU) Carbon Removals and Carbon Farming Certification (CRCF) Regulation (EU 2024/3012), adopted in November 2024, establishes a framework for certifying and rewarding agricultural C removals alongside GHG emission reductions, paving the way for stronger adoption of more sustainable pasture management strategies by farmers and meat producers (). The CRCF also points out that these decarbonization targets need to be reached whilst improving other key nature benefits like soil health and biodiversity. At the same time the New EU Agricultural Vision 2040 is paving the way for more sustainable agriculture introducing agroecological solutions into land management, with less external inputs and xenobiotics, higher circularity, attention to biodiversity and soil health.
Extensive Mediterranean pastures pose in this respect a very interesting playground as the “land-animal” integration system allows to explore sustainable management solutions that support self-sufficiency and reduce dependency on external inputs, leading to win-win outputs. These benefits include increased soil C accrual through reduced erosion and enhanced C sequestration, improved soil ecosystem services, and reduced land degradation and desertification risk. The introduction of sustainable management strategies is also key for climate adaptation of these productive systems that will require healthy ecosystem conditions to continue to support land productivity under increasingly harsh environmental conditions.
Rotational grazing (RG) is a land management strategy with documented positive effects on pasture quality and soil health. In contrast, continuous or poorly managed grazing may contribute to pasture degradation, soil compaction, and to the loss of soil organic matter (; ; ). The main principles of RG include subdividing grazing areas into paddocks and moving animals among them according to a planned schedule. This approach regulates grazing pressure, allows vegetation to recover between grazing events, and promotes SOC accumulation through increased root biomass inputs and reduced soil disturbance (; ; ). Available syntheses confirm that improved grassland management can be particularly beneficial for C accrual on degraded soils with low initial C content (; ; ) like those most frequently found in Mediterranean pastures (). Beyond C, well-managed rotational systems deliver a range of ecosystem services, including improved water infiltration, enhanced soil microbial activity, pasture productivity recovery, and biodiversity support. These outcomes are especially relevant in dryland agroecosystems under desertification risk (; ; ). The Montado agro-silvo-pastoral system of southern Portugal, a mosaic of open-canopy cork oak woodland and grazed herbaceous understory (), is a clear example of this context: a multifunctional landscape with high ecological value yet highly vulnerable to degradation under continuous grazing (CG) pressure (; ).
This study examines a commercial sheep farm managed extensively for meat production in the pasturelands of Portugal. The system was managed under CG until 2018. The land was characterized by significantly low levels of organic matter and nutrients () showing clear signs of land degradation and limited grass productivity, which obliged the landowner to rely on external feed at least during part of the year. In 2018, the farm, in collaboration with the LIFE project Desert-Adapt (LIFE16 CCA/IT/000011), introduced sustainable land management solutions, including RG, reduced stocking pressure, and progressively shifted away from external feed and fertilizer inputs ().
The goal of this study was to evaluate the climate mitigation potential of the introduced sustainable land management by comparing the total GHG balance of the productive system before and after the land management transition. We hypothesized that, in line with C farming principles, the new management would result in lower net farm-level CO2-eq emissions and consequently reduce the carbon footprint (CF) of sheep meat, the farm’s main marketable product. Evidence of multiple environmental benefits associated with sustainable farming can support farmers’ adoption of sustainable practices and contribute to the EU agricultural transition towards its 2040 goals.
2 Materials and methods
2.1 Study area and management transition
The sheep farm was located in the Alentejo region, Portugal (Mértola Municipality, Beja District; 37° 43′51″N, 7° 43′38″W to 37° 48′41″N, 7° 39′49″W). The climate is warm temperate with hot dry summers (Köppen classification), mean annual precipitation of 456 mm, mean annual temperature of 16.2 °C, and an aridity index of 0.34. Soils are acidic (pH ∼6.0), developed on Schist and Quartzite substrates, with SOC generally below 2% at the time of the transition (). The dominant land use is Montado, an agro-silvo-pastoral mosaic of open-canopy evergreen oak woodland (Quercus suber L. and Q. coccifera L.) with a herbaceous understory maintained through extensive sheep grazing ().
Prior to 2018, the farm operated under CG across approximately 200 ha of pasture, supplemented by conventional cultivation of an additional 120 ha for feed production. In 2018 the farm transitioned to RG, which involved subdividing the main pasture into smaller paddocks using electric fencing (), reducing stocking pressure, and progressively integrating the 120 ha of cultivated land into the rotational scheme as forage productivity recovered, thereby reducing dependence on purchased feed and synthetic fertilizers during the post-transition period. The effect of the management transition on soil quality was assessed in 2018 and again in 2022, 4 years later, by measuring soil C and N contents and related physicochemical properties.
In order to assess the climate mitigation potential of the farm, as well as the C footprint of its products, we applied a life cycle assessment that accounted for all GHG emissions associated with land management and the different components of the production system, including changes resulting from reduced external inputs and lower N2O emissions due to decreased N fertilizer use. Additionally, soil C accrual was included as a negative term in the overall farm-level CO2-eq balance, following C farming accounting principles that consider both C sequestration and CO2 and non-CO2 GHG emissions, particularly CH4 and N2O. Enteric CH4 emissions were also estimated, but as this study did not involve direct measurements on animals, these emissions were calculated using standard IPCC methods and input parameters. Animal performance parameters were held constant between the two management periods, whereas flock size and forage digestibility differed.
2.2 Life cycle assessment of farm management and products
We applied a life cycle assessment (LCA) (; ) and CF quantification in accordance with ISO 14067 () and FAO Livestock Environmental Assessment and Performance (LEAP) guidelines for small ruminants (). Analyses were performed in SimaPro v9.5 using the Ecoinvent v3.10 database. The system boundary was cradle-to-farm-gate, encompassing upstream processes for feed production, fertilizer and fuel manufacturing, and transport, as well as on-farm emissions from enteric fermentation, manure management, and field operations. Capital goods were included with impacts annualized over service life. The system boundary and the main organizational differences between the farming system before and after the land management introduction are illustrated in Figure 1.
FIGURE 1
Feed inputs were grouped into four categories: grazed pasture, on-farm roughage (hay and silage), grains (oats, triticale, lupins), and purchased compound feed. Primary data were collected from farm records and structured interviews (Table 1). The main differences between the two management systems included flock size, which decreased from 2,200 ewes and 150 rams under CG to 2,000 ewes and 120 rams under RG; the external feed share of the total diet, which declined from 37% to 25% for ewes and from 68% to 53% for lambs; the fertilizer application rate, which decreased from 120 to 38.5 kg NPK ha-1 yr-1; and diesel consumption, which declined from 31,900 to 11,700 L yr-1, reflecting the shift from tillage-based feed production to integrated pasture management.
TABLE 1
| Parameter | Unit | Pre-transition (CG) | Post-transition (RG) |
|---|---|---|---|
| Flock | |||
| Adult ewes | No./yr | 2,200 | 2,000 |
| Adult rams | No./yr | 150 | 120 |
| Lambs per ewe | No./yr | 1.34 | 1.34 |
| Lamb mortality | %/yr | 5 | 5 |
| Ewe mortality | %/yr | 1.5 | 1.5 |
| Body Weight | |||
| Adult ewe | kg LW | 65 | 65 |
| Adult ram | kg LW | 80 | 80 |
| Lamb at sale | kg LW | 25 | 25 |
| Products | |||
| Lambs sold (slaughter + breeding) | No./yr | 1,813 | 1,498 |
| Ewes sold (slaughter + breeding) | No./yr | 469 | 387 |
| Rams sold | No./yr | 18 | 15 |
| Total LW sold | kg yr-1 | 77,250 | 63,805 |
| Wool produced | kg yr-1 | 8,555 | 7,717 |
| Feed | |||
| Grain in ewe diet | % of total DM | 37.0 | 25.0 |
| Grain in lamb diet | % of total DM | 68.0 | 53.3 |
| Forage digestibility | % | 47 | 60 |
| Concentrate digestibility | % | 72 | 72 |
| Farm Inputs | |||
| Pasture area | m2/head | 388 | 429 |
| Fertilizer application | kg NPK ha-1 yr-1 | 120 | 38.5 |
| Diesel | L yr-1 | 31,900 | 11,700 |
| Electricity | kWh/head/yr | 5.0 | 2.0 |
| Plastic use | kg/head/yr | 0.51 | 0.40 |
Farm inventory data for the pre-transition (CG) and post-transition (RG) periods, collected through farm records and structured interviews with the farm owner.
Manure management fractions by animal class and period are provided in Supplementary Table S1. Annual income data used for economic allocation sensitivity analysis are provided in Supplementary Table S6.
DM: dry matter.
Each year, ewes produced an average of 1.34 lambs per ewe. A proportion of the female lambs born each year were retained internally as flock replacements to compensate for annual culling (approximately 21% of the ewe flock under CG and 19% under RG) and adult ewe mortality (1.5% yr-1). Similarly, a small number of male lambs were retained annually as ram replacements. Lambs retained for internal replacement are not included in the “lambs sold” figures reported in Table 1; they enter the adult flock inventory and are recorded in the ewe or ram category when subsequently sold. All remaining lambs were sold for slaughter or as breeding stock, as shown in Table 1. The total live weight (LW) sold (77,250 kg yr-1 pre-transition; 63,805 kg yr-1 post-transition) reflects all animal sales across all categories and is the basis for the functional unit calculation. Animal performance parameters including individual body weight, mortality rate, and wool yield per head were consistent across both periods.
Secondary emission factors were sourced from reports published by the IPCC and FAO, with details provided in Supplementary Table S1 (; ; ; ). The net energy requirements calculated for rams, ewes, and lambs using the IPCC Tier 2 equations are reported in Supplementary Table S2. Portuguese datasets were used where available; otherwise, proxies from areas with similar climate, Spain, Italy, or Greece were applied based on crop type and agro-ecological comparability. Climate impacts were expressed as 100-year global warming potentials using IPCC Sixth Assessment Report characterization factors: CH4 = 27.9 kg CO2-eq kg-1 and N2O = 273 kg CO2-eq kg-1 ().
2.3 Functional unit and allocation
Two functional units were used for our analysis: the farm, where climate impact was reported at farm-level, i.e., total GHG emissions associated with overall farm management (t CO2-eq yr-1); marketable products where climate impact was reported as the CF per kg of LW (kg CO2-eq kg-1 LW), consistent with ISO 14067 () and FAO LEAP guidelines for small-ruminant supply chains ().
For GHG allocation, a consistent product mix was used for both periods (59% lamb LW, 39% ewe LW, 2% ram LW); wool production was estimated as 8,555 kg yr-1 pre-transition; 7,717 kg yr-1 post-transition. Results per kg hot carcass weight (HCW) are also provided in Supplementary Material (Supplementary Table S3) to facilitate comparison with literature data, as the latter is most commonly used for food analyses.
Environmental burdens were allocated between meat and wool using protein mass allocation (PMA) as the primary method, with protein contents set at 0.18 kg protein per kg LW and 0.65 kg protein per kg raw wool (). This allocation approach reflects the biological basis of feed conversion, remains stable under market price fluctuations, and aligns with FAO LEAP recommendations for small-ruminant LCA (). The PMA factor for meat (AFmeat) was defined as the ratio of meat protein output to total protein output,where LW and W are the annual LW and raw wool sold and pLW and pW their respective protein contents (0.18 and 0.65 kg protein kg-1). This yielded AFmeat = 0.714 pre-transition and 0.696 post-transition. The same factor was applied to both gross emissions and the soil C sequestration credit. For the post-transition period, the whole-farm sink of −1,812,980 kg CO2-eq yr-1, therefore, corresponded to a credit of 1,261,834 kg CO2-eq yr-1 allocated to meat (full workings in Supplementary Table S4). Economic allocation (EA) was applied as a sensitivity analysis; given the low market value of wool, EA attributed more than 98% of emissions to meat (Supplementary Table S4). An exploratory mixed variant (EA for emissions, PMA for accrual credits) is reported in Supplementary Table S5.
2.4 Enteric fermentation, manure and nutrient flows
Enteric CH4 and manure-related CH4 and N2O were estimated using IPCC Tier 2 methodology (; ). Forage digestibility was set at 60% for the post-transition period and 47% for the pre-transition period, reflecting improvement in pasture quality following the transition and consistent with IPCC and FAO LEAP ranges for sheep diets on Mediterranean grasslands (; ). The pre-transition value of 47% reflects the low end of the range reported for degraded dryland pastures, consistent with field measurements of declining forage quality under CG pressure documented at the study site. Concentrate digestibility was 72% in both periods. Methane conversion factors (Ym) followed IPCC defaults for sheep: 6.5% for adults and 4.5% for lambs. Full Tier 2 inputs by animal class and period are provided in Supplementary Tables S1, S2.
Grazed forage intake was determined by energy balance to meet net requirements for maintenance, activity, growth, lactation, pregnancy, and wool production (Supplementary Table S2), applying a 5% feed-waste factor (). Nitrogen excretion was derived from intake and retention using standard values for LW and wool (). Manure management followed actual farm practice: pasture deposition during grazing, short periods in unpaved yards, and solid storage. To avoid double-counting, pasture-deposited manure was attributed to agricultural soils and only yard and stored fractions counted under manure management emissions (; ). N2O emissions from synthetic fertilizer application were estimated using IPCC default factors, with differences between periods directly reflecting the change in application rate shown in Table 1.
2.5 Soil carbon accrual estimation
Soil C accrual was quantified for the post-transition period 2018–2022, whereas C accrual pre-2018 was set as zero, as indicated by the low soil quality, including low C content (<2%), which suggested C loss rather than accrual before 2018. The losses of C in these areas were also confirmed by erosion-modelling calculations conducted for this area (). Two complementary approaches were used to estimate the annual SOC accrual rate, and their consistency was assessed to support the reliability of the estimate used in the CF calculations. In the first approach (Approach 1), SOC stocks were measured at 0–30 cm depth across two representative sampling areas of approximately 4 ha each within the farm pasture in both 2018 and 2022. The annual accrual rate was calculated by dividing the total stock change by 4 years, assuming linear accrual over the monitoring period ().
In the second approach (Approach 2), SOC stocks measured in 2022 on the study farm were compared with stocks from a neighboring farm under conventional CG (), sampled in the same year using the same protocol. The difference in SOC stocks between the two farms was assumed to be the result of land management change in RG, with farm comparability in terms of soil type, parent material, and climate verified through prior site characterizations.
As the two approaches produced broadly similar estimates, we used data from Approach 1 to calculate the CO2-eq removal associated with soil C accrual, as it draws directly on paired measurements from the same farm across the monitoring period and does not depend on assumptions about the comparability of an external reference site. Approach 2 is reported as a corroborating estimate.
C stocks were estimated using values of bulk density and total organic carbon (TOC) concentration measured in the top 30 cm of soil. Details on the sampled areas, design and number of replicates are provided in and , . In brief, bulk density was estimated using iron-steel cylinders that were inserted at 0–10, 10–20 and 20–30 cm. Soil samples were collected from the same profiles, air-dried, and passed through a 2-mm mesh sieve. Soil was then pulverized, and TOC content was measured using the Springer-Klee dichromate oxidation method, a modified ISO 14235:1998 method for the determination of organic carbon by sulfochromic oxidation, as outlined by .
3 Results
3.1 Whole-farm greenhouse gas emissions
Three emission categories were identified within the system boundary: farm operations, enteric fermentation, and manure management. Total farm emissions were 1,756.6 t CO2-eq yr-1 in the pre-transition period and 1,165.1 t CO2-eq yr-1 in the post-transition period, a reduction of 34% (Figure 2). Farm operations contributed 541.2 t CO2-eq yr-1 (31% of total) pre-transition and 221.1 t CO2-eq yr-1 (19%) post-transition, a reduction of 59%, driven primarily by lower purchased feed inputs, reduced diesel consumption, and less synthetic fertilizer use. Enteric fermentation was the dominant source in both periods, accounting for 1,083.9 t CO2-eq yr-1 (62%) pre-transition and 843 t CO2-eq yr-1 (72%) post-transition, a reduction of 22%. Manure management contributed 131.3 t CO2-eq yr-1 (7%) pre-transition and 101.2 t CO2-eq yr-1 (9%) post-transition, a reduction of 23%. Post-transition soil C accrual reached 494 t C yr-1 (2.47 t C ha-1 yr-1 across 200 ha), equivalent to 1,813 t CO2 yr-1 removed, which exceeded total post-transition emissions of 1,165.1 t CO2-eq yr-1 by approximately 648 t CO2-eq yr-1, shifting the farm from a net source to a net sink (Figure 2).
FIGURE 2
3.2 Carbon footprint per unit of product
Moving from a farm-based analysis to a product-based analysis, the CF of sheep meat was 16.24 kg CO2-eq kg-1 LW in the pre-transition period and 12.71 kg CO2-eq kg-1 LW in the post-transition period, corresponding to a CF reduction of 22% (Table 2). Using the economic rather than mass allocation the CF values pre- and post-transition were 22.37 and 17.93 kg CO2-eq kg-1 LW. Results expressed per kg hot carcass weight are provided in Supplementary Table S3. For broader context comparison of the value of our results in terms of absolute sustainability, we compared the CF values of lamb meat produced in the studied farm from both periods to the distribution of 37 published CF estimates of lamb meat (Figure 3; Supplementary Table S7). The pre-transition CF value (16.24 kg CO2-eq kg-1 LW) falls at the 43rd percentile of the distribution of the 37 studies; the post-transition management further reduced the CF value (12.71 kg CO2-eq kg-1 LW, 32nd percentile of this distribution) increasing the difference with the average CF value reported in the literature for this product (18.3 kg CO2-eq kg-1 LW) (Figure 3).
TABLE 2
| Method | Period | Emissions to meat (kg CO2-eq yr-1) | CF (kg CO2-eq/kg LW) | CF-OFFSET (kg CO2-eq/kg LW) |
|---|---|---|---|---|
| PMA | Pre-transition (CG) | 1,254,179 | 16.24 | -a |
| PMA | Post-transition (RG) | 810,886 | 12.71 | −7.07 |
| EA | Pre-transition (CG) | 1,728,448 | 22.37 | -a |
| EA | Post-transition (RG) | 1,144,095 | 17.93 | −9.97 |
Carbon footprint of sheep meat in the pre-transition (CG) and post-transition (RG) periods under protein mass allocation (PMA) and economic allocation (EA). CF = carbon footprint as obtained by LCA; CF-OFFSET = CF - soil carbon accrual allocated per product unit.
Zero C accrual assumed, CF, remains the same as by LCA, result.
FIGURE 3
3.3 Post-transition soil carbon accrual and net carbon balance of the farming system
Post-transition SOC accrual was estimated as 2.47 t C ha-1 yr-1 from paired farm measurements (Approach 1) and 2.92 t C ha-1 yr-1 using the comparison with the neighboring farm (Approach 2). The broad agreement between the two estimates supports the plausibility of the SOC accrual value, despite the different comparison frameworks. As anticipated, Approach 1 was used in all CF calculations. Scaling the observed C accrual rate over the 200 ha of the farm, this gives an annual C accrual of 494 t C yr-1, equivalent to 1,813 t CO2 yr-1 removed. This exceeds the total post-transition farm emissions of 1,165.1 t CO2-eq yr-1, giving a net removal of approximately 648 t CO2-eq yr-1 (Figure 2). Allocating the overall C sink of −1,812,980 kg CO2-eq yr-1 at product-level using PMA (Section 2.3), the sequestration credit attributed to meat was 1,261,834 kg CO2-eq yr-1, against post-transition gross meat emissions of 810,886 kg CO2-eq yr-1, yielding a net removal of 450,948 kg CO2-eq yr-1. The resulting CF-OFFSET was −7.07 kg CO2-eq kg-1 LW under PMA and −9.97 kg CO2-eq kg-1 LW under EA (Table 2; detailed calculations in Supplementary Table S4). No temporal soil C measurements were available for the pre-transition period; CF-OFFSET therefore equals CF for that period. The sensitivity of these results to allocation method when sequestration credits are applied is explored in Supplementary Table S5.
4 Discussion
The management transition documented in this study shows that whole-farm changes in grazing strategy, input use, and land management can substantially alter both emission intensity and the C sink function of Mediterranean dryland sheep systems. Total farm GHG emissions fell by 34%, the gross CF of lamb decreased by 22% per kg LW, and measured soil C accrual was sufficient to shift the farm to a net C sink within 4 years. These outcomes mark the transition not merely as an emission-reduction measure but as an ecological intervention that restores degraded land and improves the system-level climate profile of livestock production ().
In degraded Mediterranean systems, pasture GHG emissions are associated with poor forage digestibility, high concentrate supplementation, and the loss of the C sink function that healthy grasslands can otherwise provide (). Despite the recognized potential of RG, SOC dynamics are rarely incorporated into CF assessments of livestock systems and most LCA studies report gross emission intensities per unit of product without accounting for the C sink function of recovering pastures, which can substantially alter the net climate balance (; ; ).
We showed that the rationalization of the breeding system in the farm led to a 59% fall in farm operation emissions, reflecting decreased reliance on purchased concentrate feed, less diesel from reduced tillage, and lower fertilizer use. External input dependency is a primary determinant of farm-level CF in Mediterranean and European sheep systems (; ; ), and by replacing purchased feed with on-farm forage production, the transition decoupled the farm from the upstream emission burden of industrial feed and fertilizer chains. This structural change is more durable than marginal improvements in feeding efficiency, which dominate mitigation strategies in intensive systems but leave the root cause of high operational emissions in degraded extensive systems untouched.
Although enteric fermentation remained the dominant source of GHG, as expected, its absolute reduction under RG (22%) is consistent with the smaller flock and the documented improvement in forage digestibility from 47% to 60% following the transition. Better pasture quality under rotational management therefore reduces emissions both directly, through lower methane conversion per unit of intake (; ), and indirectly, by reducing the need for high-emission concentrate supplementation.
The improved climate performance of the post-transition system was reflected in a decrease in the gross meat CF to 12.71 kg CO2-eq kg-1 LW, comparable to Mediterranean and semi-arid sheep systems CF values of 8.8–14.2 kg CO2-eq kg-1 LW for extensively managed sheep in southwestern Spain (), and to CF values of 9.5–16.1 kg CO2-eq kg-1 LW found in semi-arid South Asian systems (). The pre-transition value of 16.24 kg CO2-eq kg-1 LW sat at the higher end of these ranges, reflecting the higher dependency on external inputs of degraded pasture. Under EA, CF values increased by roughly one-third across both periods but produced a similar reduction of approximately 20%, confirming the observed change is robust to accounting assumptions (; ).
The soil C accrual rate of 2.47 t C ha-1 yr-1 is at the higher end of values reported for Mediterranean dryland grazing systems. Comparable studies report lower rates: approximately 0.9 t C ha-1 yr-1 in dehesa cattle systems in southwestern Spain (), around 0.25 t C ha-1 yr-1 in Portuguese Montado agroforestry (), and 0.84 to 1.05 t C ha-1 yr-1 for improving degraded Portuguese grasslands nationally (). A study on Iberian dehesa woodlands confirmed that RG increases mineral-associated organic C and total SOC stocks through plant-microbial-nutrient pathways (). Outside the Mediterranean, documented 3.6 t C ha-1 yr-1 over 4 years in adaptive multi-paddock beef systems on similarly degraded soils in the United States. The elevated rate here is consistent with the principle that SOC accumulation is fastest on severely depleted soils in early recovery (; ). The farm entered the transition with SOC below 2% and documented degradation across multiple soil quality indicators (; ). Under CG, erosion rates were measured at 4.42 t ha-1 yr-1 at this site (), a direct pathway of C loss that compounded SOC depletion. Reduced bare-soil exposure, increased vegetation cover, and lower surface runoff under the rotational scheme would have cut erosion-driven C loss alongside promoting in situ accumulation. Active pasture renovation, greater root biomass inputs, and reduced soil disturbance further supported C gains. SOC accumulation is inherently nonlinear, and rates decline as soil approach a new equilibrium; the 4-year window captures the early, fastest phase of this trajectory and should not be extrapolated as a long-term average. Consistency between the two estimation approaches, while acknowledging the limited sampling period and spatial coverage, supports the plausibility of the farm-scale estimate.
The post-transition soil C accrual of 494 t C yr-1 (1,813 t CO2 yr-1) exceeded total farm emissions of 1,165.1 t CO2-eq yr-1, yielding a net farm C sink of 648 t CO2-eq yr-1 and negative CF-OFFSET values under both allocation methods. The CRCF establishes a framework for certifying precisely this type of outcome: documented, site-specific soil C gains alongside verifiable GHG reductions. The recommended targeted transition support for high-emission, low-resilience farming systems and noted that Southern European regions face particularly high climate exposure, reinforcing the relevance of transitions of this kind in Mediterranean drylands. The monitoring approach used here, pairing temporal soil sampling with reference comparison, is broadly aligned with CRCF verification requirements, though full compliance would require longer time series, greater spatial coverage, and formal baseline accounting.
Several studies show that including SOC changes the interpretation of livestock system performance. In adaptive multi-paddock beef systems in the United States, found the net CF shifted from 9.6 to −6.7 kg CO2-eq kg-1 HCW once SOC was credited. found no net climate disadvantage in semi-extensive Spanish sheep farms after SOC inclusion. By contrast, reported marginal SOC contributions in Norwegian sheep systems under lower degradation pressure. The climate benefit of SOC is therefore most pronounced in systems recovering from degraded, low-carbon baselines, precisely the conditions characterizing Mediterranean dryland farms at desertification risk.
The transition also generated ecosystem service gains that reinforce the case beyond the C balance. showed that the same management change produced quantifiable improvements across provisioning and regulating services under the Common International Classification of Ecosystem Services (CICES) framework, including water regulation, biodiversity, and fodder production, with SOC identified as the key mediating variable. Soil-level evidence from the same site documents gains in microbial biomass, aggregate stability, and water retention capacity (). These outcomes highlight a persistent gap in livestock LCA: the standard cradle-to-farm-gate boundary does not capture ecosystem service recovery, leading to a systematic undervaluation of well-managed extensive systems relative to more intensive ones (; ).
Despite the positive findings, we acknowledge some limitations of the present study. Because the intervention involved a whole-farm management transition, including simultaneous changes in grazing management, stocking density and input use, the before-and-after design evaluates the combined effect of the whole-farm transition and does not allow the effect of rotational grazing to be isolated from the other changes that occurred at the same time. The results should therefore be interpreted as the performance of the overall transition rather than of rotational grazing alone, and it is this combined transition that improved both farm and product sustainability. The soil C accrual rates reflect early-phase recovery from a severely degraded, low-carbon baseline and should be read as indicative of transition potential rather than long-term steady-state values; even at lower accrual rates, the rotational system still represents a meaningful improvement in the net GHG balance and in soil health and ecosystem services. Finally, there is currently no standardized method for crediting soil C within product-level LCA, which adds uncertainty to the CF-OFFSET values (Supplementary Tables S4 and S5).
5 Conclusion
This study provides field-based evidence that a whole-farm transition from continuous to rotational grazing can substantially improve the climate profile of a commercial sheep system in Mediterranean drylands, while simultaneously improving soil quality and ecosystem services. The findings carry four main implications. First, the emission intensity of extensive sheep-production systems is determined not only by the type of production system but also by dependence on external input and land condition. Second, farms transitioning from degraded continuous grazing can reduce gross GHG emissions and, when measured soil carbon accrual is credited, may shift their net carbon balance towards a sink. This finding challenges the assumption that extensive livestock systems are necessarily high emitting. However, the estimated net sink reflects early-phase soil carbon accrual measured over 4 years from a severely degraded baseline and depends on the assumptions used in soil carbon accounting. It should therefore be interpreted as evidence of transition potential rather than as a permanent steady-state condition. Third, the observed site-specific reductions in GHG emissions and increases in soil C accrual demonstrate the potential relevance of such management transitions for carbon farming strategies. Finally, the associated ecosystem-service benefits extend beyond those captured by CF accounting. Longer-term studies tracking SOC dynamics and ecosystem service provision beyond the initial transition phase are needed to characterize the long-term trajectory of farms undergoing similar management changes.
Statements
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
Ethical approval was not required for the studies involving humans. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants' legal guardians/next of kin in accordance with the national legislation and institutional requirements.
Author contributions
HKI: Conceptualization, Data curation, Formal Analysis, Methodology, Writing – original draft, Writing – review and editing. EG: Data curation, Writing – original draft, Writing – review and editing. FA: Writing – original draft, Writing – review and editing. SC: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review and editing.
Funding
The author(s) declared that financial support was received for this work and/or its publication. The author(s) declare that financial support was received for the research by the EU project LIFE16 CCA/IT/000011.
Acknowledgments
The authors wish to thank the farm owner João Madeira for providing farm records and completing the data survey.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declared that generative AI was not used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fenvs.2026.1917508/full#supplementary-material
References
1
ÅbyB. A.SamsonstuenS.BeaucheminK. A.AassL. (2024). Modelling of on-farm greenhouse gas emissions from dual-purpose meat and wool sheep production in different geographical regions of Norway. Livest. Sci.283, 105472. 10.1016/j.livsci.2024.105472
2
Aguilera SánchezJ. F.Molina AlcaideE. (2021). An estimation of enteric methane emissions from small ruminants in a mediterranean ecosystem. J. Agric. Environ. Sci.10 (2), 55–63. 10.15640/jaes.v10n2a6
3
AugustineD. J.DernerJ. D.Fernández-GiménezM. E.PorenskyL. M.WilmerH.BriskeD. D.et al (2020). Adaptive, multi-paddock rotational grazing management: a ranch-scale assessment of effects on vegetation and livestock performance in semiarid rangeland. Rangel. Ecol. Manag.73, 796–810. 10.1016/j.rama.2020.07.005
4
BaiY.CotrufoM. F. (2022). Grassland soil carbon sequestration: current understanding, challenges, and solutions. Science377, 603–608. 10.1126/science.abo2380
5
BatallaI.KnudsenM. T.MogensenL.del HierroÓ.PintoM.HermansenJ. E. (2015). Carbon footprint of milk from sheep farming systems in northern Spain including soil carbon sequestration in grasslands. J. Clean. Prod.104, 121–129. 10.1016/j.jclepro.2015.05.043
6
BelancheA.HristovA. N.van LingenH. J.DenmanS. E.KebreabE.SchwarmA.et al (2023). Prediction of enteric methane emissions by sheep using an intercontinental database. J. Clean. Prod.384, 135523. 10.1016/j.jclepro.2022.135523
7
BusicoG.GrilliE.CarvalhoS. C.MastrociccoM.CastaldiS. (2023). Assessing soil erosion susceptibility for past and future scenarios in semiarid mediterranean agroecosystems. Sustainability15 (17), 12992. 10.3390/su151712992
8
CapeloJ.Vila-ViçosaC. (2021). Vegetação do alentejo. A vegetação Port.1, 122–130.
9
CarrascosaA.MorenoG.CotrufoM. F.FradeC.RodrigoS.RoloV. (2025). “Improved management increases soil mineral-protected organic carbon storage via plant-microbial-nutrient mediation in semi-arid grasslands,”. EGUsphere. 10.5194/egusphere-2025-1711
10
CenteriC. (2022). Effects of grazing on water erosion, compaction and infiltration on grasslands. Hydrology9, 34. 10.3390/hydrology9020034
11
ConantR. T.CerriC. E.OsborneB. B.PaustianK. (2017). Grassland management impacts on soil carbon stocks: a new synthesis. Ecol. Appl.27 (2), 662–668. 10.1002/eap.1473
12
CottleD. J.CowieA. L. (2016). Allocation of greenhouse gas production between wool and meat in the life cycle assessment of Australian sheep production. Int. J. Life Cycle Assess.21, 820–830. 10.1007/s11367-016-1054-4
13
de OtáloraX. D.EpeldeL.ArranzJ.GarbisuC.RuizR.MandalunizN. (2021). Regenerative rotational grazing management of dairy sheep increases springtime grass production and topsoil carbon storage. Ecol. Indic.125, 107484. 10.1016/j.ecolind.2021.107484
14
DelattreL.DeboliniM.PaoliJ. C.NapoleoneC.MouleryM.LeonelliL.et al (2020). Understanding the relationships between extensive livestock systems, land-cover changes, and CAP support in less-favored mediterranean areas. Land9, 518. 10.3390/land9120518
15
DondiniM.MartinM.De CamillisC.UwizeyeA.SoussanaJ.-F.RobinsonT.et al (2023). Global Assessment of Soil Carbon in Grasslands – from Current Stock Estimates to Sequestration Potential in FAO Anim. Prod. Health Pap (Rome: FAO), 187. 10.4060/cc3981en
16
European Parliament and Council (2024). Regulation (EU) 2024/3012 of the european parliament and of the council of 27 November 2024 establishing a union certification framework for permanent carbon removals, carbon farming and carbon storage in products. Off. J. Eur. Union L. Available online at: https://eur-lex.europa.eu/eli/reg/2024/3012/oj/eng (Accessed April 5, 2026).
17
European Scientific Advisory Board on Climate Change (2026). Climate Adaptation and Mitigation in the agri-food System. Luxembourg: Publications Office of the European Union. 10.2800/3706315
18
FAO (2016). Greenhouse Gas Emissions and Fossil Energy Use from Small Ruminant Supply Chains: Guidelines for Assessment. Rome: FAO. Available online at: https://www.fao.org/3/i6432e/i6432e.pdf (Accessed March 5, 2026).
19
FAO (2018). Nutrient Flows and Associated Environmental Impacts in Livestock Supply Chains: Guidelines for Assessment. Rome: FAO. Available online at: https://www.fao.org/3/i8798en/i8798en.pdf (Accessed March 5, 2026).
20
FAO (2025). “Greenhouse gas emissions from agrifood systems – global, regional and country trends, 2001–2023,” in FAOSTAT Anal. Brief. Ser.115. Rome. 10.4060/cd7300en
21
FerreiraC. S.Seifollahi-AghmiuniS.DestouniG.GhajarniaN.KalantariZ. (2022). Soil degradation in the european mediterranean region: processes, status and consequences. Sci. Tot. Env.805, 150106. 10.1016/j.scitotenv.2021.150106
22
ForforaN.AzuajeI.VivasK. A.VeraR. E.BritoA.VendittiR.et al (2024). Evaluating biomass sustainability: why below-ground carbon sequestration matters. J. Clean. Prod.439, 140677. 10.1016/j.jclepro.2024.140677
23
GasparP.EscribanoM.MesíasF. J.De LedesmaA. R.PulidoF. (2008). Sheep farms in the Spanish rangelands (Dehesas): typologies according to livestock management and economic indicators. Small Rumin. Res.74 (1–3), 52–63. 10.1016/j.smallrumres.2007.03.013
24
GrilliE.CarvalhoS. C.ChitiT.CoppolaE.D'AscoliR.La MantiaT.et al (2021). Critical range of soil organic carbon in southern Europe lands under desertification risk. J. Environ. Manage.287, 112285. 10.1016/j.jenvman.2021.112285
25
HorrilloA.GasparP.Rodríguez-LedesmaA.EscribanoM. (2024). Assessment of greenhouse gas emissions and carbon sequestration in dairy goat farming systems in northern Extremadura, Spain. Animals14 (23), 3501. 10.3390/ani14233501
26
IPCC (2006). Guidelines for National Greenhouse Gas Inventories: Agriculture, Forestry and Other Land Use. Geneva: IPCC. Available online at: https://www.ipcc-nggip.iges.or.jp/public/2006gl/ (Accessed February 7, 2026).
27
IPCC (2019). 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories, 4. Geneva: AFOLU. IPCC.
28
ForsterP.StorelvmoT.ArmourK.CollinsW.DufresneJ.-L.FrameD.et al (2021). “Climate change 2021: the physical science basis,” in Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Editor Masson-DelmotteV. (Cambridge: Cambridge University Press). Available online at: https://www.ipcc.ch/report/ar6/wg1/chapter/chapter-7/#7.6 (Accessed February 8, 2026).
29
IshaqH. K.GrilliE.D'AscoliR.MastrociccoM.RutiglianoA. F.MarzaioliR.et al (2025a). Soil quality under rotational and conventional grazing in mediterranean areas at desertification risk. J. Environ. Manage.373, 123822. 10.1016/j.jenvman.2024.123822
30
IshaqH. K.GrilliE.BusicoG.MastrociccoM.RutiglianoA. F.BijlM.et al (2025b). Enhancing ecosystem services by introducing multifunctional land use management in a semiarid pastoral system in Portugal. Total Environ. Adv.16, 200138. 10.1016/j.teadva.2025.200138
31
ISO (2006a). ISO 14040: Environmental Management — Life Cycle Assessment — Principles and Framework. Geneva: ISO.
32
ISO (2006b). ISO 14044: Environmental Management — Life Cycle Assessment — Requirements and Guidelines. Geneva: ISO.
33
ISO (2018). ISO 14067: Greenhouse Gases — Carbon Footprint of Products — Requirements and Guidelines for Quantification. Geneva: ISO.
34
KairisO.KaravitisC.SalvatiL.KounalakiA.KosmasK. (2015). Exploring the impact of overgrazing on soil erosion and land degradation in a dry mediterranean agro-forest landscape (crete, Greece). Arid. Land Res. Manag.29, 360–374. 10.1080/15324982.2014.968691
35
KosmasC.DetsisV.KaramesoutiM.KounalakiK.VassiliouP.SalvatiL. (2015). Exploring the long-term impact of grazing management on land degradation in the socio-ecological system of the asteroussia Mountains, Greece. Land4, 541–559. 10.3390/land4030541
36
LaportaL.DomingosT.Marta-PedrosoC. (2021). It's a keeper: valuing the carbon storage service of agroforestry ecosystems in the context of CAP eco-schemes. Land Use Policy109, 105712. 10.1016/j.landusepol.2021.105712
37
Life desert-adapt (2026). Preparing Desertification Areas for Increased Climate Change: LIFE16 CCA/IT/000011. Available online at: https://www.desert-adapt.it/ (Accessed July 22, 2026).
38
OggioniS. D.Ochoa-HuesoR.PecoB. (2020). Livestock grazing abandonment reduces soil microbial activity and carbon storage in a mediterranean dehesa. Appl. Soil Ecol.153, 103588. 10.1016/j.apsoil.2020.103588
39
PardoG.CasasR.del PradoA.ManzanoP. (2023). Carbon footprint of transhumant sheep farms: accounting for natural baseline emissions in mediterranean systems. Int. J. Life Cycle Assess.29, 2184–2199. 10.1007/s11367-023-02135-3
40
RaposoM.CanaveiraP.DomingosT. (2025). Estimating soil carbon sequestration potential in Portuguese agricultural soils through land-management and land-use changes. Sustainability17 (3), 1223. 10.3390/su17031223
41
Reyes-PalomoC.AguileraE.LlorenteM.Díaz-GaonaC.MorenoG.Rodríguez-EstévezV. (2022). Carbon sequestration offsets a large share of GHG emissions in dehesa cattle production. J. Clean. Prod.358, 131918. 10.1016/j.jclepro.2022.131918
42
Reyes-PalomoC.Díaz-GaonaC.Sanz-FernándezS.Muñoz-CobosI.AguileraE.Rodríguez-EstévezV. (2024). Carbon footprint of an extensively raised, low-productivity sheep population. Agriculture14 (8), 1304. 10.3390/agriculture14081304
43
RoxoM. J.CerqueiraH. M.Calvo‐CasesA. (2023). The role of land use and land cover changes in triggering soil losses in the SE alentejo, Portugal. Land Degrad. Dev.34 (18), 5954–5968. 10.1002/ldr.4889
44
SabaterS.ElosegiA.FeioM. J.GómezR.GraçaM. A.MuñozI.et al (2022). “The iberian Rivers,” in Rivers of Europe. Editors TocknerK.UehlingerU.RobinsonC. T.2nd ed (Elsevier), 181–224. 10.1016/B978-0-08-102612-0.00004-3
45
SarkarS.LalB.GautamP.BhattR. S.SahooA. (2024). Comparing carbon footprints of sheep farming systems in semi-arid regions of India: a life cycle assessment study. PLoS One19 (1), e0292066. 10.1371/journal.pone.0292066
46
SpringerU.KleeJ. (1954). Prüfung der Leistungsfähigkeit von einigen wichtigeren Verfahren zur Bestimmung des Kohlenstoffs mittels Chromschwefelsäure sowie Vorschlag einer neuen Schnellmethode. Z. Pflanzenernähr. Düng. Bodenk.64, 1–26. 10.1002/jpln.19540640102
47
StanleyP. L.RowntreeJ. E.BeedeD. K.DeLongeM. S.HammM. W. (2018). Impacts of soil carbon sequestration on life cycle greenhouse gas emissions in midwestern USA beef finishing systems. Agric. Syst.162, 249–258. 10.1016/j.agsy.2018.02.003
48
TeutscherováN.VázquezE.SoteloM.VillegasD.VelásquezN.BaqueroD.et al (2021). Intensive short-duration rotational grazing is associated with improved soil quality within one year after establishment in Colombia. Appl. Soil Ecol.159, 103835. 10.1016/j.apsoil.2020.103835
49
TimpanaroG.FotiV. T. (2024). The sustainability of small-scale sheep and goat farming in a semi-arid mediterranean environment. J. Sustain. Agric. Environ.3 (3), e12111. 10.1002/sae2.12111
50
VagnoniE.ArcaP.DecandiaM.MolleG.SerraG.SauP.et al (2024). Looking for the ecological transition of mediterranean small ruminant sector: characterization and main drivers of environmental performance of the Sardinian sheep farming systems. Clean. Environ. Syst.14, 100214. 10.1016/j.cesys.2024.100214
51
WiedemannS. G.LedgardS. F.HenryB. K.YanM. J.MaoN.RussellS. J. (2015). Application of life cycle assessment to sheep production systems: investigating co-production of wool and meat using case studies from major global producers. Int. J. Life Cycle Assess.20, 463–476. 10.1007/s11367-015-0849-z
52
ZhangR.TianD.ChenH. Y.SeabloomE. W.HanG.WangS.et al (2022). Biodiversity alleviates the decrease of grassland multi-functionality under grazing disturbance: a global meta-analysis. Glob. Ecol. Biogeogr.31, 155–167. 10.1111/geb.13408
Summary
Keywords
carbon footprint, ecosystem services, land management, life cycle assessment, mediterranean drylands, rotational grazing, soil carbon accrual
Citation
Ishaq HK, Grilli E, Ardolino F and Castaldi S (2026) Sustainable grazing management supports climate change mitigation in a mediterranean pasture. Front. Environ. Sci. 14:1917508. doi: 10.3389/fenvs.2026.1917508
Received
23 June 2026
Revised
09 August 2026
Accepted
18 August 2026
Published
10 September 2026
Volume
14 - 2026
Edited by
Angela Balzano, University of Ljubljana, Slovenia
Reviewed by
Ogechukwu Igboke, North Dakota State University, United States
Gianluca Pugliese, University of Bari Aldo Moro, Italy
Updates
Copyright
© 2026 Ishaq, Grilli, Ardolino and Castaldi.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Simona Castaldi, simona.castaldi@unicampania.it
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.