Addressing nitrogenous gases from croplands toward low-emission agriculture

Pan, Shu-Yuan; He, Kung-Hui; Lin, K. Y.; Fan, Chihhao; Chang, Chang-Tang

doi:10.1038/s41612-022-00265-3

Cited by 56 publications

(22 citation statements)

References 133 publications

(214 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, agriculture has the unique potential to provide a beneficial contribution to the global carbon budget. For example, agriculture produces large amounts of nitrogen, one of the long-lived greenhouse gases, due to the use of fertilizers such as nitrogen fertilizers (Northrup et al, 2021;Pan et al, 2022). To better understand food security and greenhouse gas emissions, high spatial-resolution cropland area monitoring is necessary.…”

Section: Discussionmentioning

confidence: 99%

A new method for classifying maize by combining the phenological information of multiple satellite-based spectral bands

Peng

Shen

Dong

et al. 2023

Front. Environ. Sci.

View full text Add to dashboard Cite

Introduction: Using satellite data to identify the planting area of summer crops is difficult because of their similar phenological characteristics.Methods: This study developed a new method for differentiating maize from other summer crops based on the revised time-weighted dynamic time warping (TWDTW) method, a phenology-based classification method, by combining the phenological information of multiple spectral bands and indexes instead of one single index. First, we compared the phenological characteristics of four main summer crops in Henan Province of China in terms of multiple spectral bands and indexes. The key phenological periods of each band and index were determined by comparing the identification accuracy based on the county-level statistical areas of maize. Second, we improved the TWDTW distance calculation for multiple bands and indexes by summing the rank maps of a single band or index. Third, we evaluated the performance of a multi-band and multi-period TWDTW method using Sentinel-2 time series of all spectral bands and some synthetic indexes for maize classification in Henan Province.Results and Discussion: The results showed that the combination of red edge (740.2 nm) and short-wave infrared (2202.4 nm) outperformed all others and its overall accuracy of maize planting area was about 91.77% based on 2431 field samples. At the county level, the planting area of maize matched the statistical area closely. The results of this study demonstrate that the revised TWDTW makes effective use of crop phenological information and improves the extraction accuracy of summer crops’ planting areas over a large scale. Additionally, multiple band combinations are more effective for summer crops mapping than a single band or index input.

show abstract

Section: Discussionmentioning

confidence: 99%

A new method for classifying maize by combining the phenological information of multiple satellite-based spectral bands

Peng

Shen

Dong

et al. 2023

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…In addition to crop‐rotation strategies, adjusting fertilization methods and rates to better suit specific crops as well as using targeted crop species that are more efficient in nutrient use can also increase yields (Ebbisa, 2022; Guo et al., 2020; Pan et al., 2022). Improving such local to regional farmland management strategies could lead to a reduced need for fertilizers and improve both the quality of soil and water resources as well as enhancing future food production at local‐global scales (Billen et al., 2021; Chang et al., 2021).…”

Section: Discussionmentioning

confidence: 99%

Water Availability and Land Management Control Catchment‐Scale Agricultural Nitrogen and Phosphorous Use Efficiencies

Scaini

Vico

Thorslund

et al. 2023

Global Biogeochemical Cycles

View full text Add to dashboard Cite

In arable systems, large amounts of nutrients, particularly of nitrogen (N) and phosphorus (P), are not efficiently converted into harvestable products and are lost from agricultural systems, with negative consequences for agricultural productivity and the environment. These nutrient losses are mediated by hydroclimatic processes causing nutrient leaching and volatilization. We quantify over the period 1987–2012 how water availability through the evaporative ratio (actual evapotranspiration divided by precipitation) and irrigation, agricultural practices, and edaphic conditions jointly affect nutrient use efficiencies in 110 agricultural catchments in the United States. We consider N and P use efficiencies (nitrogen use efficiency [NUE] and phosphorous use efficiency [PUE]) defined as ratios of catchment‐scale N and P in harvested products over their respective inputs, as well as the NUE/PUE ratio, as an indication of catchment‐scale N and P imbalance. Both efficiencies increase through time because of changes in climate and agronomic practices. Setting all else at the median value of the data set, NUE and PUE increased with evaporative ratio by 0.5% and 0.2% when increasing the evaporative ratio by 20% and by 4.9% and 18.8% in the presence of irrigation. NUE was also higher in catchments where maize and soybean were dominant (increasing by 2.3% for a 20% increase in maize and soybean fractional area). Soil properties, represented by mineral soil texture and organic matter content, had only small effects on the efficiencies. Our results show that both climatic conditions and crop choice are important drivers of nutrient use efficiencies in agricultural catchments.

show abstract

“…The main aim of the causal network is to address the gap in the representation of the feedback links (dashed lines in figure 2), to identify the interrelationships among indicators and feedback mechanisms of lake eutrophication. The concept of the causal network is novel in environmental science and the system interactions of the DPSIR framework have been understudied (Lundberg 2005, Niemeijer and de Groot 2008, Svarstad et al 2008, Srebotnjak et al 2012, Gregory et al 2013, Dolbeth et al 2016, Chang et al 2022. It is demonstrated that representing the system complexity in its entirety is useful for efficient policymaking and sustainable water quality management (Smith and Schindler 2009, Friberg 2014, Scharin et al 2016, Teurlincx et al 2019a, Birk et al 2020, Huang et al 2022.…”

Section: Need To Develop a Causal Networkmentioning

confidence: 99%

Recent advancement in water quality indicators for eutrophication in global freshwater lakes

Suresh

Tang

Vliet

et al. 2023

Environ. Res. Lett.

View full text Add to dashboard Cite

Eutrophication is a major global concern in lakes, caused by excessive nutrient loadings (nitrogen and phosphorus) from human activities and likely exacerbated by climate change. Present use of indicators to monitor and assess lake eutrophication is restricted to water quality constituents (e.g., total phosphorus, total nitrogen) and does not necessarily represent global environmental changes and the anthropogenic influences within the lake’s drainage basin. Nutrients interact in multiple ways with climate, basin conditions (e.g., socio-economic development, point-source, diffuse source pollutants), and lake systems. It is therefore essential to account for complex feedback mechanisms and non-linear interactions that exist between nutrients and lake ecosystems in eutrophication assessments. However, the lack of a set of water quality indicators that represent a holistic understanding of lake eutrophication challenges such assessments, in addition to the limited water quality monitoring data available. In this review, we synthesize the main indicators of eutrophication for global freshwater lake basins that not only include the water quality constituents but also the sources, biogeochemical pathways and responses of nutrient emissions. We develop a new causal network (i.e., multiple links of indicators) using the DPSIR (drivers-pressure-state-impact-response) framework that highlights complex interrelationships among the indicators and provides a holistic perspective of eutrophication dynamics in freshwater lake basins. We further review the 30 key indicators of drivers and pressures using seven cross-cutting themes: (i) hydro-climatology; (ii) socio-economy; (iii) land use; (iv) lake characteristics; (v) crop farming and livestock; (vi) hydrology and water management; (vii) fishing and aquaculture. This study indicates a need for more comprehensive indicators that represent the complex mechanisms of eutrophication in lake systems, to guide the global expansion of water quality monitoring networks, and support integrated assessments to manage eutrophication. Finally, the indicators proposed in this study can be used by managers and decision-makers to monitor water quality and set realistic targets for sustainable water quality management to achieve clean water for all, in line with Sustainable Development Goal 6.

show abstract

Addressing nitrogenous gases from croplands toward low-emission agriculture

Cited by 56 publications

References 133 publications

A new method for classifying maize by combining the phenological information of multiple satellite-based spectral bands

A new method for classifying maize by combining the phenological information of multiple satellite-based spectral bands

Water Availability and Land Management Control Catchment‐Scale Agricultural Nitrogen and Phosphorous Use Efficiencies

Recent advancement in water quality indicators for eutrophication in global freshwater lakes

Contact Info

Product

Resources

About