Li, Kevin

[["dc.bibliographiccitation.artnumber","108108"],["dc.bibliographiccitation.journal","Agriculture, Ecosystems & Environment"],["dc.bibliographiccitation.volume","338"],["dc.contributor.author","Li, Kevin"],["dc.contributor.author","Grass, Ingo"],["dc.contributor.author","Fung, Tien-Yi"],["dc.contributor.author","Fardiansah, Riko"],["dc.contributor.author","Rohlfs, Marko"],["dc.contributor.author","Buchori, Damayanti"],["dc.contributor.author","Tscharntke, Teja"],["dc.date.accessioned","2022-11-01T10:17:42Z"],["dc.date.available","2022-11-01T10:17:42Z"],["dc.date.issued","2022"],["dc.description.sponsorship"," http://dx.doi.org/10.13039/501100001659 Deutsche Forschungsgemeinschaft"],["dc.identifier.doi","10.1016/j.agee.2022.108108"],["dc.identifier.pii","S0167880922002572"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/116883"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-605"],["dc.relation.issn","0167-8809"],["dc.rights.uri","https://www.elsevier.com/tdm/userlicense/1.0/"],["dc.title","Adjacent forest moderates insect pollination of oil palm"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","160"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Journal of toxicology and environmental health. Part A"],["dc.bibliographiccitation.lastpage","172"],["dc.bibliographiccitation.volume","81"],["dc.contributor.author","Nelson, Clay M."],["dc.contributor.author","Li, Kevin"],["dc.contributor.author","Obenour, Daniel R."],["dc.contributor.author","Miller, Jonathan"],["dc.contributor.author","Misenheimer, John C."],["dc.contributor.author","Scheckel, Kirk"],["dc.contributor.author","Betts, Aaron"],["dc.contributor.author","Juhasz, Albert"],["dc.contributor.author","Thomas, David J."],["dc.contributor.author","Bradham, Karen D."],["dc.date.accessioned","2019-07-23T09:38:53Z"],["dc.date.available","2019-07-23T09:38:53Z"],["dc.date.issued","2018"],["dc.description.abstract","Interest in improved understanding of relationships among soil properties and arsenic (As) bioaccessibility has motivated the use of regression models for As bioaccessibility prediction. However, limits in the numbers and types of soils included in previous studies restrict the usefulness of these models beyond the range of soil conditions evaluated, as evidenced by reduced predictive performance when applied to new data. In response, hierarchical models that consider variability in relationships among soil properties and As bioaccessibility across geographic locations and contaminant sources were developed to predict As bioaccessibility in 139 soils on both a mass fraction (mg/kg) and % basis. The hierarchical approach improved the estimation of As bioaccessibility in studied soils. In addition, the number of soil elements identified as statistically significant explanatory variables increased when compared to previous investigations. Specifically, total soil Fe, P, Ca, Co, and V were significant explanatory variables in both models, while total As, Cd, Cu, Ni, and Zn were also significant in the mass fraction model and Mg was significant in the % model. This developed hierarchical approach provides a novel tool to (1) explore relationships between soil properties and As bioaccessibility across a broad range of soil types and As contaminant sources encountered in the environment and (2) identify areas of future mechanistic research to better understand the complexity of interactions between soil properties and As bioaccessibility."],["dc.identifier.doi","10.1080/15287394.2018.1423798"],["dc.identifier.pmid","29336680"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/61908"],["dc.language.iso","en"],["dc.relation.issn","1528-7394"],["dc.title","Relating soil geochemical properties to arsenic bioaccessibility through hierarchical modeling"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","152"],["dc.bibliographiccitation.journal","Agriculture, Ecosystems & Environment"],["dc.bibliographiccitation.lastpage","160"],["dc.bibliographiccitation.volume","280"],["dc.contributor.author","Li, Kevin"],["dc.contributor.author","Tscharntke, Teja"],["dc.contributor.author","Saintes, Barbara"],["dc.contributor.author","Buchori, Damayanti"],["dc.contributor.author","Grass, Ingo"],["dc.date.accessioned","2019-07-23T07:03:06Z"],["dc.date.available","2019-07-23T07:03:06Z"],["dc.date.issued","2019"],["dc.description.abstract","Oil palm (Elaeis guineensis Jacq) is an economically important crop, yet it plays a major role in tropical deforestation and has significant negative impacts on biodiversity. The ecological drivers of oil palm pollination are still poorly understood, despite pollination being a key ecosystem service for the yield of this multi-billion-dollar industry, with potential links to biodiversity conservation. Here we review biotic and abiotic drivers of pollination and known oil palm pollinators, including local insect species endemic to specific growing regions, and an important, globally-introduced West African weevil (Elaeidobius kamerunicus) whose fluctuating populations have led to concerns about yield and resilience. Future research should clarify pollinator community dynamics to facilitate pollination complementarity, which may strengthen pollination services in regions beyond the oil palm and weevil’s native West African ecosystem. In addition, other interactions such as mutualism, predation, and parasitism are not yet well understood, but could provide further insight into population drivers. Future management research should explore manipulating male palm inflorescence density, a key resource for pollinators, as well as investigate spatial and landscape effects on pollinator populations. Critically, no studies have investigated the effects of climate change on pollination, despite the impacts of rain and temperature on pollination efficiency. A greater understanding of the role of pollinator species and their nonlinear relationships to yield, as well as the complexity of biotic, management, and climate drivers of successful pollination can contribute to a more sustainable oil palm production system that values ecosystem services gained from biodiversity, while also improving producer livelihoods."],["dc.identifier.doi","10.1016/j.agee.2019.05.001"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/61858"],["dc.language.iso","en"],["dc.relation","SFB 990: Ökologische und sozioökonomische Funktionen tropischer Tieflandregenwald-Transformationssysteme (Sumatra, Indonesien)"],["dc.relation","SFB 990 | B | B09: Oberirdische Biodiversitätsmuster und Prozesse in Regenwaldtransformations-Landschaften"],["dc.relation.issn","0167-8809"],["dc.subject.gro","sfb990_journalarticles"],["dc.title","Critical factors limiting pollination success in oil palm: A systematic review"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

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[["dc.bibliographiccitation.firstpage","1249"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Landscape Ecology"],["dc.bibliographiccitation.lastpage","1261"],["dc.bibliographiccitation.volume","35"],["dc.contributor.author","Otero Jiménez, Beatriz"],["dc.contributor.author","Li, Kevin"],["dc.contributor.author","Tucker, Priscilla K."],["dc.date.accessioned","2020-12-10T14:11:42Z"],["dc.date.available","2020-12-10T14:11:42Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1007/s10980-020-00999-6"],["dc.identifier.eissn","1572-9761"],["dc.identifier.issn","0921-2973"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/71173"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Landscape drivers of connectivity for a forest rodent in a coffee agroecosystem"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]