Current approaches for modeling ecosystem services and biodiversity in agroforestry systems: Challenges and ways forward

Frontiers in Forests and Global Change, Год журнала: 2023, Номер 5

Опубликована: Янв. 18, 2023

Limited modeling studies are available for the process-based simulation of ecosystem services (ESS) and biodiversity (BD) in agroforestry systems (AFS). To date, limited field scale AFs models to simulate all possible ESS BD together. We conducted an extensive systematic review (AF), BD, soil erosion potential seven most desirable AFS. Simple complex AF have inherent limitation being objective-specific. A few dynamic did not meet recent interest demands under Further, many modules especially erosion, GHGs emission, groundwater recharge, onsite water retention, nutrients pesticide leaching, often missing models, while some existing can be used combination with models. Likewise mechanistic diversity lacking or found However, further efforts model development improvement (integration coupling) needed better interactive processes belonging There different possibilities but a proficient approach reliability, flexibility, durability is integrate couple them into modular structure. Findings study suggested that crop frameworks (MFW) like SIMPLACE APSIM could ones integration coupling suitable approaches (AF, protection, flood prevention, carbon sequestration, ground nutrient modules) one platform process based estimation on daily basis at scale.

Язык: Английский

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Refining the soil and water component to improve the MoSt grass growth model

European Journal of Agronomy, Год журнала: 2025, Номер 164, С. 127520 - 127520

Опубликована: Фев. 6, 2025

Язык: Английский

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Climate change impacts on the Alpine, Continental and Mediterranean grassland systems of Italy: A review

Italian Journal of Agronomy, Год журнала: 2021, Номер 16(3)

Опубликована: Июль 9, 2021

The ongoing climate change, which is threatening grassland agroecosystems throughout Europe, also evident in the Italian grasslands. These systems, often located marginal areas, are species-rich ecosystems characterized by variable, and unreliable, grass forage production strongly dependent on interactions between climate, soil agricultural management practices (e.g. land abandonment, lack of investments innovation, stocking rates reduction, etc.), making them very sensitive vulnerable to change. This review draws from scientific literature impacts current expected climatic changes crop systems framed three different bio-climatic zones Italy, namely Alpine, Continental Mediterranean, focussing on: i) biodiversity vegetation; ii) quality. main aims this to: revise existing domain, highlighting or common trends among biogeographical regions; provide information analysed drivers involved studied evolutions; iii) point out knowledge gaps currently pending order hypothesize future scenarios research sector. Even if has pointed differences approaches, adopted methodologies purposes conducted researches, some can be highlighted, though environments. Expected warming modification rainfall pattern will produce deep vegetation types, with reduction disappearance cold tolerant species a spread xeric/thermophilus ones shrubby general upward shift types mountain areas. Moreover, aboveground biomass expected, as summer droughts considered driver able force productivity. Finally, factors reduce quality palatability grasslands, consequence nitrogen content available higher less unpalatable shrubs. hypothesis that gained insights level change support development policy strategies for adaptation at national level. Highlights - highlights responses Apennine Mediterranean areas Italy.- Future determine composition, extension Droughts factor affecting palatability.- Further needed understand Mediterranean.

Язык: Английский

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Uncertainties in the adaptation of alpine pastures to climate change based on remote sensing products and modelling

Journal of Environmental Management, Год журнала: 2023, Номер 336, С. 117575 - 117575

Опубликована: Март 7, 2023

Over the last century, management of pastoral systems has undergone major changes to meet livelihood needs alpine communities. Faced with induced by recent global warming, ecological status many seriously deteriorated in western region. We assessed pasture dynamics integrating information from remote-sensing products and two process-based models, i.e. grassland-specific, biogeochemical growth model PaSim generic crop-growth DayCent. Meteorological observations satellite-derived Normalised Difference Vegetation Index (NDVI) trajectories three macro-types (high, medium low productivity classes) study areas - Parc National des Écrins (PNE) France Parco Nazionale Gran Paradiso (PNGP) Italy were used as a basis for calibration work. The performance models was satisfactory reproducing production (R2 = 0.52 0.83). Projected pastures due climate-change impacts adaptation strategies indicate that: i) length growing season is expected increase between 15 40 days, resulting timing amount biomass production, ii) summer water stress could limit productivity; iii) earlier onset grazing enhance iv) higher livestock densities rate regrowth, but uncertainties modelling processes need be considered; v) carbon sequestration potential decrease under limited availability warming.

Язык: Английский

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Reconnecting Grazing Livestock to Crop Landscapes: Reversing Specialization Trends to Restore Landscape Multifunctionality

Frontiers in Sustainable Food Systems, Год журнала: 2021, Номер 5

Опубликована: Окт. 21, 2021

Closely integrated crop and livestock production systems used to be the rule in agriculture before industrial revolution. However, agricultural landscapes have undergone a massive intensification process recent decades. This trajectory has led uniform of specialized cropping or consolidated zones intensive production. Loss diversity is at core increasing side effects on environment from agriculture. The unintended consequences specialization demand reconciliation food with environmental quality. We argue that reconnection grazing can restore decoupled biogeochemical cycles reintroduce necessary complexity ecosystem functioning. Besides, crops promotes several services underlying multifunctionality. focus capacity crop-livestock create biophysical socioeconomic resilience cope weather market oscillations. present examples redesigned leverage animals optimize per unit land while mitigating externalities also debate mindset barriers shift current trends toward design multifunctional landscapes.

Язык: Английский

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Residual correlation and ensemble modelling to improve crop and grassland models

Environmental Modelling & Software, Год журнала: 2023, Номер 161, С. 105625 - 105625

Опубликована: Янв. 13, 2023

Язык: Английский

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Challenges of Including Wet Grasslands with Variable Groundwater Tables in Large-Area Crop Production Simulations

Agriculture, Год журнала: 2024, Номер 14(5), С. 679 - 679

Опубликована: Апрель 26, 2024

Large-scale assessments of agricultural productivity necessitate integrated simulations cropland and grassland ecosystems within their spatiotemporal context. However, simultaneous face limitations due to assumptions uniform species distribution. Grasslands, particularly those with shallow groundwater tables, are highly sensitive water availability, undergoing rapid composition changes. We hypothesised that predicting above-ground biomass (AGB) remains challenging these dynamic responses. Ten years data from four lysimeters at a German wet site, varying table treatments, was utilised test this hypothesis. Correlation analysis revealed strong positive indirect effect the regime on AGB, one-year time lag (r = 0.97). The MONICA model initially exhibited fair agreement (d 0.69) in simulating Leaf-Area-Index (LAI) but performed poorly replicating AGB 0.3). After removing change LAI datasets, simulation notably improved, overall relative root mean square error (rRMSE) decreasing 1.55 0.90 between first second simulations. This demonstrates MONICA’s ability predict grass growth patterns amidst changing supply levels for constant composition. it needs competition capture changes supply.

Язык: Английский

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Evaluating MONICA's capability to simulate water, carbon and nitrogen fluxes in a wet grassland at contrasting water tables

The Science of The Total Environment, Год журнала: 2024, Номер 949, С. 174995 - 174995

Опубликована: Июль 23, 2024

Wet grasslands, which are vital for water and nutrient regulation, characterised by distinct water, carbon (C) nitrogen (N) dynamics, their interactions. Due to shallow groundwater table, wet grasslands promote a strong interconnection between diverse vegetation soil water. Researchers have investigated how respond environmental changes, using various simulation models understand these sites contribute C N dynamics. However, comprehensive, simultaneous study of all three dynamics is still lacking. This makes use grassland lysimeter with differently managed levels employs the process-based MOdel NItrogen Carbon in Agroecosystems (MONICA) simulate By SPOTPY (Statistical Parameter Optimization Tool) optimise relevant parameters, we find that MONICA performs well simulating growth (aboveground biomass), elements (evapotranspiration), (gross primary productivity, ecosystem respiration) (N aboveground biomass, nitrate solution, Nitrous oxide emissions) balance, Willmott's Refined Index Agreement always larger than 0.35. level accuracy demonstrates ready be applied scenario simulations management climate change evaluate impact on greenhouse gas emissions long-term storage, as losses grasslands.

Язык: Английский

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A model-data fusion approach to analyse carbon dynamics in managed grasslands

Agricultural Systems, Год журнала: 2020, Номер 184, С. 102907 - 102907

Опубликована: Авг. 14, 2020

Язык: Английский

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DynaGraM: A process-based model to simulate multi-species plant community dynamics in managed grasslands

Ecological Modelling, Год журнала: 2020, Номер 439, С. 109345 - 109345

Опубликована: Окт. 27, 2020

Язык: Английский

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