Landslide inventory for hazard assessment in a data-poor context: a regional-scale approach in a tropical African environment
Sign Up to like & getrecommendations! Published in 2018 at "Landslides"
DOI: 10.1007/s10346-018-1008-y
Abstract: Landslide hazard remains poorly characterized on regional and global scales. In the tropics in particular, the lack of knowledge on landslide hazard is in sharp contrast with the high landslide susceptibility of the region. Moreover,… read more here.
Keywords: hazard assessment; landslide inventory; poor context; landslide hazard ... See more keywords
The importance of biological plausibility for data poor models in the face of an immediate threat by an emerging infectious disease: a reply to Katz and Zellmer (2018)
Sign Up to like & getrecommendations! Published in 2019 at "Biological Invasions"
DOI: 10.1007/s10530-019-02035-4
Abstract: Species distribution models (SDM) are an important tool to predict the invasion risk of alien species and emerging infectious diseases. However, building reliable models in early stages of invasions is a challenging task. Katz and… read more here.
Keywords: emerging infectious; katz zellmer; model; importance biological ... See more keywords
Improving stock assessment and management advice for data-poor small-scale fisheries through participatory monitoring
Sign Up to like & getrecommendations! Published in 2017 at "Fisheries Research"
DOI: 10.1016/j.fishres.2017.01.015
Abstract: Abstract Undetected but underlying biases in model parameterization strongly reduce the reliability and value of assessments of data-poor fisheries. We explore the effects of missing and misunderstood data on single-species stock assessments used to provide… read more here.
Keywords: participatory monitoring; management; management advice; small scale ... See more keywords
Socioecological changes in data-poor S-fisheries: A hidden shellfisheries crisis in Galicia (NW Spain)
Sign Up to like & getrecommendations! Published in 2019 at "Marine Policy"
DOI: 10.1016/j.marpol.2018.09.018
Abstract: Abstract We combined different data sources to analyse key changes in the shellfisheries of Galicia (NW Spain). The shellfishing capacity of this region, a major fishing power in Europe, has been severely reduced in recent… read more here.
Keywords: galicia spain; poor fisheries; fisheries hidden; socioecological changes ... See more keywords
Fish catch and community composition in a data-poor Mekong River subcatchment characterised through participatory surveys of harvest from an artisanal fishery
Sign Up to like & getrecommendations! Published in 2019 at "Marine and Freshwater Research"
DOI: 10.1071/mf17338
Abstract: Many inland artisanal fisheries have not been surveyed by scientists. In this study we used some participatory research methods to characterise a data-poor fishery in a tributary of the Mekong River. Sixteen local villagers from… read more here.
Keywords: catch community; catch; mekong river; data poor ... See more keywords
Using participatory methods to assess data poor migrant fisheries in Kenya
Sign Up to like & getrecommendations! Published in 2018 at "Human Dimensions of Wildlife"
DOI: 10.1080/10871209.2018.1488304
Abstract: ABSTRACT Spatial information is limited for artisanal fisheries management and almost entirely absent for migrant fishers. Here, we addressed this data gap for East African migrant fishers via participatory mapping methods. We worked with 14… read more here.
Keywords: methods assess; participatory; participatory methods; migrant fishers ... See more keywords
Alternative data sources can fill the gaps in data-poor fisheries
Sign Up to like & getrecommendations! Published in 2021 at "Ices Journal of Marine Science"
DOI: 10.1093/icesjms/fsab074
Abstract: Assessing fish stocks harvested by small-scale fisheries is challenging. The lack of official fisheries data constrains the proper management of such fisheries. Thus, alternative sources of information are crucial to enrich data-poor fisheries. Here, we… read more here.
Keywords: reported catches; self reported; alternative data; poor fisheries ... See more keywords
An optimized catch-only assessment method for data poor fisheries
Sign Up to like & getrecommendations! Published in 2018 at "ICES Journal of Marine Science"
DOI: 10.1093/icesjms/fsx226
Abstract: An optimized catch-only assessment method for data poor fisheries Shijie Zhou*, André E. Punt, Anthony D. M. Smith, Yimin Ye, Malcolm Haddon, Cathy M. Dichmont, and David C. Smith CSIRO Oceans and Atmosphere, PO Box… read more here.
Keywords: assessment method; optimized catch; catch assessment; method data ... See more keywords
Few-Shot Drug Synergy Prediction With a Prior-Guided Hypernetwork Architecture.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2023.3248041
Abstract: Predicting drug synergy is critical to tailoring feasible drug combination treatment regimens for cancer patients. However, most of the existing computational methods only focus on data-rich cell lines, and hardly work on data-poor cell lines.… read more here.
Keywords: cell lines; drug; drug synergy; data poor ... See more keywords
Modeling total predation to avoid perverse outcomes from cat control in a data‐poor island ecosystem
Sign Up to like & getrecommendations! Published in 2022 at "Conservation Biology"
DOI: 10.1111/cobi.13916
Abstract: Data‐hungry, complex ecosystem models are often used to predict the consequences of threatened species management, including perverse outcomes. Unfortunately, this approach is impractical in the many systems that have insufficient data to parameterize ecosystem interactions… read more here.
Keywords: perverse outcomes; data poor; control; predator ... See more keywords
Predicting cetacean distributions in data‐poor marine ecosystems
Sign Up to like & getrecommendations! Published in 2017 at "Diversity and Distributions"
DOI: 10.1111/ddi.12537
Abstract: Aim Human activities are creating conservation challenges for cetaceans. Spatially explicit risk assessments can be used to address these challenges, but require species distribution data, which are limited for many cetacean species. This study explores… read more here.
Keywords: blue whale; cetacean distributions; models built; predicting cetacean ... See more keywords