ORCID Profile
0000-0002-5572-7632
Current Organisations
CNRS Délégation Paris B
,
Université Pierre et Marie Curie
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Publisher: Inter-Research Science Center
Date: 11-06-2018
DOI: 10.3354/MEPS12583
Publisher: Springer Science and Business Media LLC
Date: 24-06-2019
Publisher: Wiley
Date: 10-2019
DOI: 10.1111/CONL.12677
Publisher: Elsevier BV
Date: 2020
DOI: 10.1016/J.JENVMAN.2019.109808
Abstract: Marine Protected Areas (MPAs) are effective resource management and conservation measures, but their success is often hindered by non-compliant activities such as poaching. Understanding the risk factors and spatial patterns of poaching is therefore crucial for efficient law enforcement. Here, we conducted explanatory and predictive modelling of poaching from recreational fishers within no-take zones of Australia's Great Barrier Reef Marine Park (GBRMP) using Boosted Regression Trees (BRT). Combining patrol effort data, observed distribution of reported incidents, and spatially-explicit environmental and human risk factors, we modeled the occurrence probability of poaching incidents and mapped poaching risk at fine-scale. Our results: (i) show that fishing attractiveness, accessibility and fishing capacity play a major role in shaping the spatial patterns of poaching (ii) revealed key interactions among these factors as well as tipping points beyond which poaching risk increased or decreased markedly and (iii) highlight gaps in patrol effort that could be filled for improved resource allocation. The approach developed through this study provide a novel way to quantify the relative influence of multiple interacting factors in shaping poaching risk, and hold promises for replication across a broad range of marine or terrestrial settings.
Publisher: Wiley
Date: 08-10-2020
DOI: 10.1111/COBI.13591
Publisher: Wiley
Date: 02-2019
DOI: 10.1002/ECS2.2576
Publisher: Wiley
Date: 12-01-2018
DOI: 10.1111/COBI.12989
Abstract: An overarching challenge of natural resource management and bio ersity conservation is that relationships between people and nature are difficult to integrate into tools that can effectively guide decision making. Social-ecological vulnerability offers a valuable framework for identifying and understanding important social-ecological linkages, and the implications of dependencies and other feedback loops in the system. Unfortunately, its implementation at local scales has hitherto been limited due at least in part to the lack of operational tools for spatial representation of social-ecological vulnerability. We developed a method to map social-ecological vulnerability based on information on human-nature dependencies and ecosystem services at local scales. We applied our method to the small-scale fishery of Moorea, French Polynesia, by combining spatially explicit indicators of exposure, sensitivity, and adaptive capacity of both the resource (i.e., vulnerability of reef fish assemblages to fishing) and resource users (i.e., vulnerability of fishing households to the loss of fishing opportunity). Our results revealed that both social and ecological vulnerabilities varied considerably through space and highlighted areas where sources of vulnerability were high for both social and ecological subsystems (i.e., social-ecological vulnerability hotspots) and thus of high priority for management intervention. Our approach can be used to inform decisions about where bio ersity conservation strategies are likely to be more effective and how social impacts from policy decisions can be minimized. It provides a new perspective on human-nature linkages that can help guide sustainability management at local scales delivers insights distinct from those provided by emphasis on a single vulnerability component (e.g., exposure) and demonstrates the feasibility and value of operationalizing the social-ecological vulnerability framework for policy, planning, and participatory management decisions.
Publisher: Springer Science and Business Media LLC
Date: 25-02-2019
Publisher: Wiley
Date: 03-10-2016
Publisher: Elsevier BV
Date: 04-2018
Publisher: Informa UK Limited
Date: 24-07-2018
Publisher: Public Library of Science (PLoS)
Date: 09-05-2017
Publisher: Elsevier BV
Date: 08-2019
DOI: 10.1016/J.SCITOTENV.2019.04.333
Abstract: Marine protected areas (MPAs) represent the main tool for halting the loss of marine bio ersity. However, there is increasing evidence concerning their limited capacity to reduce or eliminate some threats even within their own boundaries. Here, we analysed a Europe-wide dataset comprising 31,579 threats recorded in 1692 sites of the European Union's Natura 2000 conservation network. Focusing specifically on threats related to marine species and habitats, we found that fishing and outdoor activities were the most widespread threats reported within MPA boundaries, although some spatial heterogeneity in the distribution of threats was apparent. Our results clearly demonstrate the need to reconsider current management plans, standardise monitoring approaches and reporting, refine present threat assessments and improve knowledge of their spatial patterns within and outside MPAs in order to improve conservation capacity and outcomes.
Publisher: American Association for the Advancement of Science (AAAS)
Date: 11-2019
Abstract: Climate mitigation can markedly brighten the future of the world’s food production systems.
Publisher: Wiley
Date: 21-10-2020
DOI: 10.1002/EAP.2227
Publisher: Springer Science and Business Media LLC
Date: 05-07-2022
DOI: 10.1038/S41467-022-30991-4
Abstract: Climate change is expected to profoundly affect key food production sectors, including fisheries and agriculture. However, the potential impacts of climate change on these sectors are rarely considered jointly, especially below national scales, which can mask substantial variability in how communities will be affected. Here, we combine socioeconomic surveys of 3,008 households and intersectoral multi-model simulation outputs to conduct a sub-national analysis of the potential impacts of climate change on fisheries and agriculture in 72 coastal communities across five Indo-Pacific countries (Indonesia, Madagascar, Papua New Guinea, Philippines, and Tanzania). Our study reveals three key findings: First, overall potential losses to fisheries are higher than potential losses to agriculture. Second, while most locations ( 2/3) will experience potential losses to both fisheries and agriculture simultaneously, climate change mitigation could reduce the proportion of places facing that double burden. Third, potential impacts are more likely in communities with lower socioeconomic status.
Publisher: Elsevier BV
Date: 10-2015
Publisher: Wiley
Date: 10-11-2019
DOI: 10.1002/PAN3.10056
No related grants have been discovered for Lauric Thiault.