Species loss from land use of oil palm plantations in Thailand

Jaroenkietkajorn, Ukrit; Gheewala, Shabbir H.; Scherer, Laura

doi:10.1016/j.ecolind.2021.108444

Cited by 20 publications

(11 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For example, the median dispersal distances and global extinction probabilities cover almost 27,000 vascular plant species, whereas there are about 308,000 known vascular plant species as of 2016 . Ideally, future models will also cover invertebrates, such as insects, which have only been covered in case studies so far …”

Section: Discussionmentioning

confidence: 99%

“…56 Ideally, future models will also cover invertebrates, such as insects, which have only been covered in case studies so far. 57 Second, models should develop not only local but also regional components and document both. We do so by applying the species−habitat relationship that translates local to regional species losses.…”

Section: Spatial Distribution Of Characterization Factorsmentioning

confidence: 99%

See 1 more Smart Citation

Biodiversity Impact Assessment Considering Land Use Intensities and Fragmentation

Scherer,

Rosa,

Sun

et al. 2023

Environ. Sci. Technol.

Self Cite

View full text Add to dashboard Cite

Land use is a major threat to terrestrial biodiversity. Life cycle assessment is a tool that can assess such threats and thereby support environmental decision-making. Within the Global Guidance for Life Cycle Impact Assessment (GLAM) project, the Life Cycle Initiative hosted by UN Environment aims to create a life cycle impact assessment method across multiple impact categories, including land use impacts on ecosystem quality represented by regional and global species richness. A working group of the GLAM project focused on such land use impacts and developed new characterization factors to combine the strengths of two separate recent advancements in the field: the consideration of land use intensities and land fragmentation. The data sets to parametrize the underlying model are also updated from previous models. The new characterization factors cover five species groups (plants, amphibians, birds, mammals, and reptiles) and five broad land use types (cropland, pasture, plantations, managed forests, and urban land) at three intensity levels (minimal, light, and intense). They are available at the level of terrestrial ecoregions and countries. This paper documents the development of the characterization factors, provides practical guidance for their use, and critically assesses the strengths and remaining shortcomings.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Spatial Distribution Of Characterization Factorsmentioning

confidence: 99%

Biodiversity Impact Assessment Considering Land Use Intensities and Fragmentation

Scherer,

Rosa,

Sun

et al. 2023

Environ. Sci. Technol.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Although the rate of deforestation across Indonesia and Malaysia has slowed markedly in recent years (an average year-on-year reduction in forest loss of 7.2% from 2015-2021, or a 51% reduction overall [13], the ubiquity of oil palm production, high yield [14], access to local and/or global markets, and hopes of economic prosperity continue to drive industry growth at both industrial and smallholder scales [11]. In turn, deforestation [3], land use conversion [4], and degradation of critical landscapes [5] continue, spurring downstream issues associated with biodiversity loss [15], resource-based conflict [16,17], and human rights abuses [18][19][20]. While sustainability certifications (e.g., Roundtable on Sustainable Palm Oil; [21,22]; or Indonesia Initiative for Sustainable Palm Oil [23,24]) and top down policy decisions from national governments intend to suppress deforestation, land use conversion, and social conflict, sustainability commitments require that consumer goods companies manage their supply chains through targeted risk assessment.…”

Section: Mainmentioning

confidence: 99%

Model-based prediction and ascription of deforestation risk within commodity sourcing domains: Improving traceability in the palm oil supply chain

Glick,

Ament,

Dallinga

et al. 2024

Preprint

View full text Add to dashboard Cite

Palm oil accounts for approximately 50% of global vegetable oil production, and trends in consumption have driven large-scale expansion of oil palm (Elaeis guineensis) plantations in Southeast Asia. This expansion has led to deforestation and other socio-environmental concerns that challenge consumer goods companies to meet no deforestation and sustainability commitments. In support of these commitments and supply chain traceability, we seek to improve on the current industry standard sourcing model for ascribing social and environmental risks to particular actors. Using passive geolocational traceability data (n= 3,355,437 cellular pings) and machine learning models, we evaluate the industry standard sourcing model, and we predict with high accuracy the undisclosed sourcing domains for 1,570 Indonesian and Malaysian palm oil mills on the Universal Mill List (as of November 2021). In combination with the World Wide Fund for Nature -- Netherlands' Forest Foresight, we use our predicted sourcing domains to provide an illustrative example of the proportional allocation of future deforestation, carbon loss, and biodiversity risk to relevant actors, permitting targeted outreach, contract negotiation, and mitigation of large-scale resource degradation. This example depends on a subset of model predictions in the absence of disclosed traceability data. The utilization of additional predictions or disclosed traceability data would influence and improve the results.

show abstract

“…In Brazil, soy and beef production are amongst the leading causes of deforestation and biodiversity loss (le Polain de Waroux et al, 2019). In Indonesia, conversion of tropical forests to oil palm plantations threatens the habitat of endangered species like the Sumatran tiger (Carlson et al, 2018; Jaroenkietkajorn et al, 2021; Varkkey, 2015). In Vietnam, industrial aquaculture leads to deforestation and degradation of mangroves that help protect shorelines and prevent erosion (Pham et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

The uneasy marriage of private standards and public policies for sustainable commodity governance

Ven

Barmes²

2023

Bus Strat Env

View full text Add to dashboard Cite

Global value chains for commodity agriculture have been the target of a broad array of sustainability governance efforts led by both public and private actors. In this paper, we ask: how do public policies and private standards interact in commodity‐exporting countries? To answer this question, we examine the interactions between voluntary sustainability standards and domestic public policies in three cases: soybean farming in Brazil, palm oil production in Indonesia, and pangasius aquaculture in Vietnam. We find that in each case, public and private governance interactions go through a period of competition before ending in a state of reluctant complementarity. We argue that this reluctant complementarity results from the need of governments in commodity‐producing countries to maintain export markets for their goods. This finding challenges the idea that complementarity between public and private sustainable commodity governance is driven by goal alignment and tempers expectations that standards and certifications can mitigate deforestation.

show abstract

Species loss from land use of oil palm plantations in Thailand

Cited by 20 publications

References 43 publications

Biodiversity Impact Assessment Considering Land Use Intensities and Fragmentation

Biodiversity Impact Assessment Considering Land Use Intensities and Fragmentation

Model-based prediction and ascription of deforestation risk within commodity sourcing domains: Improving traceability in the palm oil supply chain

The uneasy marriage of private standards and public policies for sustainable commodity governance

Contact Info

Product

Resources

About