A systematic review of empirical evidence for landscape-level fuel treatment effectiveness

Fire Ecology, Год журнала: 2022, Номер 18(1)

Опубликована: Сен. 15, 2022

Abstract Background Adverse effects of wildfires can be mitigated within fuel treatments, but empirical evidence their effectiveness across large areas is needed to guide design and implementation at the landscape level. We conducted a systematic literature review empirically based studies that tested influence landscape-level treatments on subsequent in North America over past 30 years evaluate how treatment type configuration affect wildfire behavior or enable more effective response. Results identified 2240 papers, only 26 met our inclusion criteria. Wildfire sizes ranged from 96 186,874 ha total treated area 8 53,423 ha. Total perimeter was highly correlated with ( r = 0.89, n 93 wildfires), average proportion 22%. All demonstrated changes boundaries (i.e., site-level effect), 12 provided outside effect). These papers showed fire severity, progression, extent, were dissimilar analysis approaches, constraining ability generalize about maximize effectiveness. Conclusions It clear state knowledge its infancy. This likely because vast challenges associated designing implementing sampling designs account for combinations spatial temporal configurations prior occurrence. also suspect part reason lacking distinction between not well recognized literature. used term landscape, rarely defined some specified identifying truly effects. Future research needs develop innovative ways interpret role level provide insight strategic approaches

Язык: Английский

---

Neighborhood-level inequalities and influencing factors of COVID-19 incidence in Berlin based on Bayesian spatial modelling

Sustainable Cities and Society, Год журнала: 2024, Номер 104, С. 105301 - 105301

Опубликована: Фев. 23, 2024

Numerous studies have explored influencing factors in COVID-19, yet empirical evidence on spatiotemporal dynamics of COVID-19 inequalities concerning both socioeconomic and environmental at an intra-urban scale is lacking. This study, therefore, focuses neighborhood-level spatial the incidences relation to for Berlin-Neukölln, Germany, covering six pandemic periods (March 2020 December 2021). Spatial Bayesian negative binomial mixed-effect models were employed identify risk patterns different periods. We identified that (1) relative risks varied across time space, with sociodemographic exerting a stronger influence over features; (2) as most predictors, population migrant backgrounds was positively associated, 65 negatively associated incidence; (3) certain neighborhoods consistently faced elevated incidence. study highlights potential structural health within communities, lower status higher incidence diverse Our findings indicate locally tailored interventions citizens are essential address foster more sustainable urban environment.

Язык: Английский

---

On the relationship between conditional (CAR) and simultaneous (SAR) autoregressive models

Spatial Statistics, Год журнала: 2018, Номер 25, С. 68 - 85

Опубликована: Май 1, 2018

Язык: Английский

---

Data Selection and Environmental Kuznets Curve Models - Environmental Kuznets Curve Models, Data Choice, Data Sources, Missing Data, Balanced and Unbalanced Panels

Elsevier eBooks, Год журнала: 2019, Номер unknown, С. 65 - 83

Опубликована: Янв. 1, 2019

Язык: Английский

---

Exploring the relationship between spatial driving forces of urban expansion and socioeconomic segregation: The case of Shiraz

Habitat International, Год журнала: 2018, Номер 81, С. 33 - 44

Опубликована: Сен. 18, 2018

Язык: Английский

---