Using policy scenarios to assess challenges and opportunities for reaching restoration targets in Brazil’s Atlantic Forest DOI Creative Commons
Yara Shennan‐Farpón, Aline C. Soterroni, Marluce Scarabello

et al.

Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(8), P. 084036 - 084036

Published: July 19, 2024

Abstract Brazil’s Atlantic Forest is a global restoration hotspot. Most of the remaining forest areas are degraded and separated by large cities, agricultural lands essential for national food security. agenda defined multiple targets policies, including Native Vegetation Protection Law (No. 12,651/2012) also known as Code, which sets minimum levels native vegetation to be maintained or restored in rural properties. In this study we simulate impacts alternative policies addressing Brazil, explore their on selected terrestrial species development potential biome. Our results show several policy options could result different amounts spatial distributions being implemented between 2020 2050, but trade-offs agriculture, biodiversity livelihoods differ. Compared baseline scenario (implementation Code), focuses small farms (not mandated undergo under current legislation) increase area 6.7 Mha across biome (139% more than with while maximizes gains lead an additional 3.9 2050 (81% compared Code). We find that our scenarios still allow cropland expansion cattle herd, pasturelands decrease. There relatively production losses when (up 14.4%), meaning ranching intensification critical enable large-scale co-exist production. suggest ambitious 15.5 Mha, consistent existing regional initiatives) feasible necessary improvements pasture yield focus scaling up support developing smallholder farmers.

Language: Английский

Agriculture evolution, sustainability and trends, focusing on Brazilian agribusiness: a review DOI Creative Commons
Marcos Fernando Basso, Marcos Fava Neves, Maria Fátima Grossi‐de‐Sá

et al.

Frontiers in Sustainable Food Systems, Journal Year: 2024, Volume and Issue: 7

Published: Jan. 11, 2024

The world’s population is expected to grow by 30%–35% over the next 60 years. Forecasts indicate that will reach almost 10 billion 2050, with India and China as most populous countries. As a result, demand for global food production, particularly protein dairy products, their nutritional quality need increase 50%–75%. In addition increasing it also necessary consider reduce impact on environment ecosystem. On one hand, threat of climate change, reduction arable land agricultural expansion, economic geopolitical conflicts, human animal health pandemics, conjuncture domestic political environments, new technologies are main bottlenecks sustainable production worldwide. contrast, notable technological advances have been achieved in current agriculture through basic advanced scientific research, development, innovation, technology transfer agribusiness sector. Technological various sectors become increasingly important minimize environmental impacts. This review study briefly highlights major world contributed substantial from early days extractive high-performance agriculture. It then key breakthroughs, disruptive technologies, change agriculture, contributions molecular sciences revolutionizing focusing Brazilian livestock, agribusiness. Subsequently, evolution highlighted based market share products its relevance national GDP. Finally, potential decision-making could positive sector affect import export were addressed. Therefore, importance supporting healthy higher less life was highlighted.

Language: Английский

Citations

14

Vital for Sustainable Agriculture: Pedological Knowledge and Mapping DOI Open Access
José Alexandre Melo Demattê, Budiman Minasny, Alfred E. Hartemink

et al.

European Journal of Soil Science, Journal Year: 2025, Volume and Issue: 76(1)

Published: Jan. 1, 2025

ABSTRACT Over the past 60 years, efforts to enhance agricultural productivity have mainly focussed on optimising strategies such as use of inorganic fertilisers, advancements in microbiology and improved water management practices. Here, we emphasise critical role pedology a foundation soil long‐term sustainability. We will demonstrate how overlooking intrinsic properties soils can result detrimental effects overall Communication between academia, extension experts, consultants farmers often results an overemphasis surface layer, for example, 20 40 cm, neglecting functions that occur at depth. Soil health regenerative agriculture must be coupled with understanding dynamic system. find pedological knowledge digital mapping technologies are underused achieving sustainable agriculture. By bridging gap emerging technologies, provide land users tools needed make informed decisions, ensuring their practices not only increase production but also preserve future generations.

Language: Английский

Citations

1

Bamboo-derived biochars: physicochemical properties and implications for soil fertility and sustainability DOI

Krisnna Sousa Alves,

Tiago Guimarães,

Ricardo de Carvalho Bittencout

et al.

Biomass Conversion and Biorefinery, Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

Language: Английский

Citations

1

Prediction accuracy of pXRF, MIR, and Vis‐NIR spectra for soil properties—A review DOI Creative Commons
Gafur GÖZÜKARA, Alfred E. Hartemink, Jingyi Huang

et al.

Soil Science Society of America Journal, Journal Year: 2025, Volume and Issue: 89(2)

Published: March 1, 2025

Abstract Here, we review the prediction accuracy for soil properties using portable X‐ray fluorescence (pXRF), mid‐infrared (MIR), and visible near‐infrared (Vis‐NIR) factors impacting predictions its accuracy. In total, 305 published papers were reviewed, most of them from Australia, Brazil, China, United States. About 44% focused on organic carbon (SOC) Vis‐NIR spectra. Partial least squares regression was frequently used. Most studies sampled Alfisols, Inceptisols, Entisols, up to 40‐cm depth. Researcher‐based (type or brand spectrometers, which differ in hardware, spectral range, resolution, calibration protocols; preprocessing methods; models; analysis methods calibration) soil‐based (horizon depth) explored. MIR spectra had better with a mean R 2 over 0.8 sand, clay, total N, C (TC), SOC inorganic (SIC), cation exchange capacity compared pXRF. past 20 years, tended increase silt, SIC, matter, EC when spectra, TC CaCO 3 pXRF Preprocessing methods, calibration, type models (i.e., machine deep learning), source (Vis‐NIR, MIR, pXRF), are used reduce noise multicollinearity, calibrate data, smooth all affected prediction. general, obtained highest properties. Future should focus effects (parent material, mineralogy, pedogenesis, type, horizon/depth) physical chemical

Language: Английский

Citations

1

Cover Crops for More Sustainable Soil Fertility Management: Examples from Brazilian Cerrado DOI Creative Commons
Leonardo Santos Collier,

Khaila Ramey Collier

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 14, 2025

The growth of agriculture in Central Brazil brought opportunities as well treats when we think about natural resources. Soil’s lack organic matter and plant nutrients became challenging to many agricultural practices adopted so far. Cover crops agroforestry systems are able improve soil fertility management Brazilian Cerrado lands, strategically face recent adverse weather conditions. As have water limiting nitrogen phosphorus nutrient efficiency, research was done understand how several leguminous grass species can interfere with quality for production. However, successional were not enough guarantee better a long time, the intercropping consortiated started be adopted, an option some systems. Crotalaria Urochloa cover crop fertilizers effect production by 50%. We intend present review these both groups linked influence use, this part Brazil.

Language: Английский

Citations

0

A global soil spectral grid based on space sensing DOI
José Alexandre Melo Demattê, Rodnei Rizzo, Nícolas Augusto Rosin

et al.

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 968, P. 178791 - 178791

Published: Feb. 20, 2025

Language: Английский

Citations

0

Use of machine learning algorithms in the context of sugarcane in Brazil: a review DOI
Luiz Antonio Soares Cardoso, Brehme D’napoli Reis de Mesquita, Paulo Roberto Silva Farias

et al.

Iran Journal of Computer Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

Language: Английский

Citations

0

Sensing and geotechnologies for soil characterization DOI
Matthew Tighe, Jean Jesus Novais, José Alexandre Melo Demattê

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 203 - 231

Published: Jan. 1, 2025

Language: Английский

Citations

0

Soil carbon storage in Brazilian drylands: A review DOI
Lucas T. Greschuk, João M. Villela, Stoécio Malta Ferreira Maia

et al.

CATENA, Journal Year: 2025, Volume and Issue: 257, P. 109144 - 109144

Published: May 20, 2025

Language: Английский

Citations

0

Curing and degradation kinetics of crosslinked epoxidized soybean oil with isosorbide-based curing agent DOI

José A. Barreto,

Nicole Soares,

Matheus Albino Souza

et al.

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(2), P. 112400 - 112400

Published: March 5, 2024

Language: Английский

Citations

2