R3DFEM: an R package for running the 3D-CMCC-FEM model DOI Creative Commons
Elia Vangi, Daniela Dalmonech, Alessio Collalti

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 11, 2024

Abstract Forest ecosystems account for about one-third of the Earth’s land area, and monitoring their structure dynamics is essential understanding land’s carbon cycle role in greenhouse gas balance. In this framework, process-based forest models (PBFMs) allow studying, predicting growth dynamics, capturing spatial temporal patterns fluxes stocks. The ‘Three Dimensional-Coupled Model Carbon Cycle - Ecosystem Module’ (3D-CMCC-FEM) a well-known eco-physiological, biogeochemical, biophysical model, able to simulate energy, carbon, water nitrogen allocation homogeneous heterogenous ecosystem. model specifically designed represent stands, from simple ones those with complex structures, involving several cohorts competing light other resources prognostic way. Currently, implemented C-language, which can be challenging broad public use, thus limiting its applications. paper, we present open-source R package ‘R3DFEM’ introduces efficient methods for: i) generating handling input data needed initialization; ii) running simulations different set up exploring input; iii) plotting output data. functions R-package are user-friendly intended all users little advanced coding skills, who aim perform using 3D-CMCC-FEM. Here functionalities some real case study

Language: Английский

Growth, Evapotranspiration, Gas Exchange and <em>Ch a</em> Fluorescence of Ipê‐Rosa Seedlings at Different Levels of Water Replacement DOI Open Access
Kalisto Natam Carneiro Silva, Andréa Carvalho da Silva, Daniela Roberta Borella

et al.

Published: Aug. 22, 2024

This paper aimed to evaluate the growth, gas exchange and Chl a fluorescence in ipê-rosa seedlings, subjected levels of 100, 75, 50 25% water replacement (LWR), greenhouse. The morphometric variables plant height, diameter at stem number leaves leaflets, root length volume, dry mass leaf area were evaluated. potential evapotranspiration seedlings (ETc) was obtained using direct weighing, considering as reference 100% variation between subsequent days; cultivation coefficients (kc) by ratio ETc (ETo) Penman-Montheit FAO-56 method. Biomass data combined determine sensitivity. Diurnal fluxes (net photosynthesis rate, transpiration stomatal conductance, internal atmospheric carbon ratio, use efficiency temperature) (Fv/Fm, ΦPSII, ETR, Fv’/Fm’, NPQ qL) Water restriction caused reductions 90.9 84.7% increase height when compared with replacement, while biomass accumulation reduced 96.9%. kc values increased throughout seedling production cycle, ranging from 0.59 2.86. Maximum sensitivity occurred 50% Ky = 1.62. assimilation rates morning, 6.11 12.50 µmol m-2 s-1. Ipê-rosa regulate physiology exchange, depending on amount available, only re-placement substrate allows survive.

Language: Английский

Citations

1
Shifting vegetation phenology in protected areas: A response to climate change DOI Creative Commons
Irina Onțel, Sorin Avram,

Gheorghe Carmen Adriana

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102962 - 102962

Published: Dec. 1, 2024

Language: Английский

Citations

1
Assessing the combined effects of forest management and climate change on carbon and water fluxes in European beech forests DOI Creative Commons
Vincenzo Saponaro, Miquel De Cáceres, Daniela Dalmonech

et al.

Forest Ecosystems, Journal Year: 2024, Volume and Issue: unknown, P. 100290 - 100290

Published: Dec. 1, 2024

Language: Английский

Citations

1
Assessing the combined effects of forest management and climate change on carbon and water fluxes in European beech forests DOI Creative Commons
Vincenzo Saponaro, Miquel De Cáceres, Daniela Dalmonech

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 21, 2024

The consequences of climate change continue to threaten European forests, particularly for species located at the edges their latitudinal and altitudinal ranges. While extensively studied in Central Europe, beech forests require further investigation understand how will affect these ecosystems Mediterranean areas. Proposed silvicultural options increasingly aim sustainable management reduce biotic abiotic stresses enhance forest ecosystems' resistance resilience mechanisms. Process-based models (PBMs) can help us simulate such phenomena capture early stress signals while considering effect different approaches. In this study, we focus on estimating sensitivity two state-of-the-art PBMs by simulating carbon water fluxes stand level assess productivity changes feedback resulting from climatic forcings as well regimes. We applied 3D-CMCC-FEM MEDFATE (C) (H20) sites Italian peninsula, Cansiglio north Mongiana south, under managed vs. unmanaged scenarios current (RCP4.5 RCP8.5). To ensure confidence modes' resuts, preliminary evaluated performance C H2O flux three additional FLUXNET network along a gradient spanning Denmark central Italy. model achieved R2 values 0.83 0.86 with RMSEs 2.53 2.05 H20 fluxes, respectively. showed 0.76 0.69 2.54 3.01. At site northern Italy, both simulated general increase RCP8.5 scenario compared climate. Still, no benefit plots ones, does not have availability limitations, thus, competition is low. southern predict decrease forcing climate; an when specific regimes scenarios. Conversely, are experience first mortality prematurely due (MEDFATE) starvation (3D-CMCC-FEM) conclusion, interventions may be considered viable solution conservation future conditions moister like Cansiglio, drier lie alone.

Language: Английский

Citations

0
R3DFEM: an R package for running the 3D-CMCC-FEM model DOI Creative Commons
Elia Vangi, Daniela Dalmonech, Alessio Collalti

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 11, 2024

Abstract Forest ecosystems account for about one-third of the Earth’s land area, and monitoring their structure dynamics is essential understanding land’s carbon cycle role in greenhouse gas balance. In this framework, process-based forest models (PBFMs) allow studying, predicting growth dynamics, capturing spatial temporal patterns fluxes stocks. The ‘Three Dimensional-Coupled Model Carbon Cycle - Ecosystem Module’ (3D-CMCC-FEM) a well-known eco-physiological, biogeochemical, biophysical model, able to simulate energy, carbon, water nitrogen allocation homogeneous heterogenous ecosystem. model specifically designed represent stands, from simple ones those with complex structures, involving several cohorts competing light other resources prognostic way. Currently, implemented C-language, which can be challenging broad public use, thus limiting its applications. paper, we present open-source R package ‘R3DFEM’ introduces efficient methods for: i) generating handling input data needed initialization; ii) running simulations different set up exploring input; iii) plotting output data. functions R-package are user-friendly intended all users little advanced coding skills, who aim perform using 3D-CMCC-FEM. Here functionalities some real case study

Language: Английский

Citations

0