Modern analysis of an ancient integrated farming arrangement: life cycle assessment of a mulberry dyke and pond system

Astudillo, Miguel F.; Thalwitz, Gunnar; Vollrath, Fritz

doi:10.1007/s11367-015-0950-3

Cited by 26 publications

(16 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The pond conditions in the IAA systems, which were used as a proxy for methane emissions in this study, came closest to those found in the mixed mangrove concurrent systems (Astudillo et al 2015). However, emissions are highly influenced by farming practices (including aeration, feed use, co-stocked species, and fertilization) and environmental conditions (including salinity, oxygen levels, and temperature) (Alongi 2005;Howe et al 2009;Penha-Lopes et al 2010;Astudillo et al 2015). For example, the presence of sulfates in mangrove systems would limit the activity of methanogenesis (Howe et al 2009), thereby lowering the methane emissions for the mixed mangrove system compared to the IAA system.…”

Section: Case Study Resultsmentioning

confidence: 58%

“…Moreover, satellite imagery only dated back to the year 2000, and the images only provide rough estimates of vegetation types, while most As mentioned before, research on methane emissions resulting from land use of mangrove area is rather limited and most research on methane fluxes focus on integrated rice-fish ponds (Frei and Becker 2005;Datta et al 2009) or other human disturbances of mangroves (i.e., Konnerup et al 2014). The pond conditions in the IAA systems, which were used as a proxy for methane emissions in this study, came closest to those found in the mixed mangrove concurrent systems (Astudillo et al 2015). However, emissions are highly influenced by farming practices (including aeration, feed use, co-stocked species, and fertilization) and environmental conditions (including salinity, oxygen levels, and temperature) (Alongi 2005;Howe et al 2009;Penha-Lopes et al 2010;Astudillo et al 2015).…”

Section: Case Study Resultsmentioning

confidence: 76%

“…Deforestation and fish farming undoubtedly increase these gas fluxes, an assumption also supported by Astudillo et al (2015) (Table 4). We consequently adopted Astudillo et al's (2015) estimate (533 kg CH 4 ha −1 year −1 ; CV = 0.4, ln) as a worst-case scenario.…”

Section: Methane and Dinitrogen Monoxide Emissions Per Hectare Of Manmentioning

confidence: 62%

“…Only recently have estimates been made about methane (CH 4 ) and nitrous oxide (N 2 O) emissions resulting from aquaculture (Hu et al 2012;Astudillo et al 2015). No study to our knowledge has, however, measured these emissions from aquaculture activities on converted mangrove forest.…”

Section: Methane and Dinitrogen Monoxide Emissions From Aquaculture Fmentioning

confidence: 99%

See 3 more Smart Citations

Including GHG emissions from mangrove forests LULUC in LCA: a case study on shrimp farming in the Mekong Delta, Vietnam

Järviö

Henriksson

Guinée

2017

Int J Life Cycle Assess

View full text Add to dashboard Cite

Purpose Mangrove forests have been recognized as important regulators of greenhouse gases (GHGs), yet the resulting land use and land-use change (LULUC) emissions have rarely been accounted for in life cycle assessment (LCA) studies. The present study therefore presents up-to-date estimates for GHG emissions from mangrove LULUC and applies them to a case study of shrimp farming in Vietnam. Methods To estimate the global warming impacts of mangrove LULUC, a combination of the International Panel for Climate Change (IPCC) guidelines, the Net Committed Emissions, and the Missed Potential Carbon Sink method were used. A literature review was then conducted to characterize the most critical parameters for calculating carbon losses, missed sequestration, methane fluxes, and dinitrogen monoxide emissions. Results and discussion Our estimated LUC emissions from mangrove deforestation resulted in 124 t CO 2 ha −1 year −1 , assuming IPCC's recommendations of 1 m of soil loss, and 96% carbon oxidation. In addition to this, 1.25 t of carbon would no longer be sequestered annually. Discounted over 20 years, this resulted in total LULUC emissions of 129 t CO 2 ha −1 year −1 (CV = 0.441, lognormal distribution (ln)). Shrimp farms in the Mekong Delta, however, can today operate for 50 years or more, but are 1.5 m deep (50% oxidation). In addition to this, Asian tiger shrimp farming in mixed mangrove concurrent farms (the only type of shrimp farm that resulted in mangrove deforestation since 2000 in our case study) resulted in 533 kg methane and 1.67 kg dinitrogen monoxide per hectare annually. Consequently, the LULUC GHG emissions resulted in 184 and 282 t CO 2 -eq t −1 live shrimp at farm gate, using mass and economic allocation, respectively. These GHG emissions are about an order of magnitude higher than from semi-intensive or intensive shrimp farming systems. Limitations in data quality and quantity also led us to quantify the uncertainties around our emission estimates, resulting in a CV of between 0.4 and 0.5. Conclusions Our results reinforce the urgency of conserving mangrove forests and the need to quantify uncertainties around LULUC emissions. It also questions mixed mangrove concurrent shrimp farming, where partial removal of mangrove forests is endorsed based upon the benefits of partial mangrove conservation and maintenance of certain ecosystem services. While we recognize that these activities limit the chances of complete removal, our estimates show that large GHG emissions from mangrove LULUC question the sustainability of this type of shrimp farming, especially since mixed mangrove farming only provide 5% of all farmed shrimp produced in Vietnam.

show abstract

Section: Case Study Resultsmentioning

confidence: 58%

Section: Case Study Resultsmentioning

confidence: 76%

Section: Methane and Dinitrogen Monoxide Emissions Per Hectare Of Manmentioning

confidence: 62%

Section: Methane and Dinitrogen Monoxide Emissions From Aquaculture Fmentioning

confidence: 99%

See 2 more Smart Citations

Including GHG emissions from mangrove forests LULUC in LCA: a case study on shrimp farming in the Mekong Delta, Vietnam

Järviö

Henriksson

Guinée

2017

Int J Life Cycle Assess

View full text Add to dashboard Cite

show abstract

“…The unit process dataset for the LCA was supplemented with methane emissions from freshwater ponds, assuming 533 kg ha −1 yr −1 (coefficient of variation (CV)=0.4; lognormal distribution) (Astudillo et al 2015). Emissions resulting from land use and land-use change of mangroves were derived from Järviö et al (2018), assuming 129 tonnes CO 2 eq.…”

Section: Secondary Datamentioning

confidence: 99%

Indonesian aquaculture futures—identifying interventions for reducing environmental impacts

Henriksson

Banks

Suri

et al. 2019

Environ. Res. Lett.

View full text Add to dashboard Cite

Indonesia is the world's second largest producer and third largest consumer of seafood. Fish is therefore essential to the nation, both financially and nutritionally. Overfishing and the effects of climate change will, however, limit future landings of capture fisheries, so any increases in future seafood production will need to come from aquaculture. The ecological effects of aquaculture are dependent upon the choice of species, management, and where it is sited. In the present study we use life cycle assessment (LCA) to evaluate how possible interventions and innovations can mitigate environmental impacts related to the aquaculture sector's growth. The mitigation potential of six interventions were also quantified, namely (1) FCR reductions for whiteleg shrimp, carp, and tilapia;(2) sustainable intensification of milkfish and Asian tiger shrimp polyculture; (3) shifting groupers from whole fish diets to pellets; (4) favoring freshwater finfish over shrimp; (5) renewable electricity; and (6) reduced food waste and improved byproduct utilization. If all six interventions are implemented, we demonstrate that global warming, acidification, eutrophication, land occupation, freshwater use, and fossil energy use could be reduced by between 28% and 49% per unit of fish. The addition of many innovations that could not be quantified in the present study, including innovative feed ingredients, suggest that production could double within the current environmental footprint. This does not, however, satisfy the expected 3.25-fold increase under a business-as-usual scenario, neither does it satisfy the government's growth targets. We therefore also explore possible geographical areas across Indonesia where aquaculture expansions and ecological hotspots may conflict. Conclusively, we advocate more conservative production targets and investment in more sustainable farming practices. To accelerate the implementation of these improvements, it will be central to identify the most cost-effective aquaculture interventions.

show abstract

Preserving traditional systems: Identification of agricultural heritage areas based on agro‐biodiversity

Bai,

Li,

Feng

et al. 2024

Plants People Planet

View full text Add to dashboard Cite

Societal Impact StatementWith the rapid development of modern agriculture and its reliance on high‐yielding and genetically uniform varieties, many traditional agricultural systems are gradually being abandoned. The genetic diversity contained in landraces is crucial for modern eco‐agriculture. An indicator evaluation model combined with machine learning could help to locate and conserve these existing traditional agricultural systems, called agricultural heritage systems (AHS). Here, this method provided the first map of potential areas of Tea‐AHS in China. These results could help policymakers to confirm priorities and rationally allocate conservation resources based on the distribution status and endangerment of AHS. This could also help local people to receive additional support for the transfer of germplasm resources and indigenous knowledge.Summary Modern agriculture is overly dependent on high‐yielding and genetically uniform varieties, whereas traditional agricultural systems contain a large number of genetically diverse landraces and the indigenous knowledge associated with them. We call traditional agricultural systems that survive to the present‐day agricultural heritage systems (AHS). Under the impact of modernization, AHS are gradually disappearing. Identifying these systems is the first step towards conserving them, but the potential areas of AHS related to agro‐biodiversity are not yet clear. Using Chinese tea as an example, this paper provides the first universal method for identifying potential areas of AHS based on agro‐biodiversity and the first map of potential areas of Tea‐AHS in China. The map is constructed based on the maximum entropy model (Maxent) of tea germplasm resources and related indicator functions and has been validated by existing Tea‐AHS in China. The study identified 54 potential areas of Tea‐AHS. These potential areas are mainly concentrated in the southern region, in 15 provinces, including Anhui, Fujian, Guangdong, Yunnan, Guizhou, Guangxi, Hubei, and Hunan. Mangshi, Qimen County, and Chaisang District are among the high potential areas for Tea‐AHS and are the next priority for exploration and conservation work. We have verified the validity of the proposed method, which can help conserve the germplasm resources and traditional wisdom in the global AHS in a timely manner, and contribute to the development of modern and eco‐agriculture.

show abstract

Modern analysis of an ancient integrated farming arrangement: life cycle assessment of a mulberry dyke and pond system

Cited by 26 publications

References 62 publications

Including GHG emissions from mangrove forests LULUC in LCA: a case study on shrimp farming in the Mekong Delta, Vietnam

Including GHG emissions from mangrove forests LULUC in LCA: a case study on shrimp farming in the Mekong Delta, Vietnam

Indonesian aquaculture futures—identifying interventions for reducing environmental impacts

Preserving traditional systems: Identification of agricultural heritage areas based on agro‐biodiversity

Contact Info

Product

Resources

About