Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Sara Alibakhshi"'
Autor:
Sara Alibakhshi, Susan C. Cook-Patton, Edouard Davin, Eduardo Eiji Maeda, Miguel Bastos Araújo, Daniel Heinlein, Janne Heiskanen, Petri Pellikka, Thomas W. Crowther
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-8 (2024)
Abstract Forest regeneration is a crucial strategy for mitigating and adapting to global warming. Yet its precise impact on local climate remains uncertain, a factor that complicates decision-making when it comes to prioritizing investments. Here, we
Externí odkaz:
https://doaj.org/article/0a12dd27c1c643fbabdd1efaaeb84a6c
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
Generating signals of reduced resilience in ecosystems is crucial for conservation and management endeavors. However, the practical implications of such systems are still limited due to the lack of high-frequency data and uncertainties associated wit
Externí odkaz:
https://doaj.org/article/5d141650c8ab45f8a81dd51bcd2472c6
Autor:
Sara Alibakhshi
Publikováno v:
Ecological Indicators, Vol 155, Iss , Pp 110983- (2023)
Forests are facing unprecedented stressors, evidenced by increases in the rate of forest mortality. Characterizing the state of forest ecosystems and their responses to disturbances remains a complex and crucial task. Existing methodologies have rare
Externí odkaz:
https://doaj.org/article/0a4bce8d59c34e6a9cb86c19ba6e8ac1
Publikováno v:
Earth and Space Science, Vol 8, Iss 12, Pp n/a-n/a (2021)
Abstract Throughout Indonesia ecological degradation, agricultural expansion, and the digging of drainage canals has compromised the integrity and functioning of peatland forests. Fragmented landscapes of scrubland, cultivation, degraded forest, and
Externí odkaz:
https://doaj.org/article/4ce843dcac0049e8a5c51df141df9068
Publikováno v:
Data in Brief, Vol 31, Iss , Pp 105720- (2020)
Satellite data provide the opportunity to explore different land surface properties, such as albedo (reflectivity) and forest structure, for multidisciplinary purposes. We estimated land surface black-sky albedo at shortwave, near-infrared and visibl
Externí odkaz:
https://doaj.org/article/45807e8b14cb4e8d9ab5ca732336104c
Publikováno v:
Remote Sensing, Vol 9, Iss 4, p 352 (2017)
The response of an ecosystem to external drivers may not always be gradual and reversible. Discontinuous and sometimes irreversible changes, called ‘regime shifts’ or ‘critical transitions’, can occur. The likelihood of such shifts is expecte
Externí odkaz:
https://doaj.org/article/9b77982a6e834a40bf54e8703b9d1c68
Spatio-temporal analysis of remote sensing images provides early warning signals of forest mortality
Autor:
Sara Alibakhshi
Ecosystems are under unprecedented pressures, reflected in rapid changes in the regime of disturbances that may cause negative impacts on them. This highlights the importance of characterizing the state of an ecosystem and its response to disturbance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93bd7d17ae498d7a3d804b5c8faf8dbe
https://doi.org/10.1101/2021.09.18.460897
https://doi.org/10.1101/2021.09.18.460897
Publikováno v:
Horton, A J, Virkki, V, Launela, A, Miettinen, J, Alibakhshi, S & Kummu, M 2021, ' Identifying Key Drivers of Peatland Fires Across Kalimantan's Ex-Mega Rice Project Using Machine Learning ', Earth and Space Science, vol. 8, no. 12, e2021EA001873 . https://doi.org/10.1029/2021EA001873
Earth and Space Science
Earth and Space Science, Vol 8, Iss 12, Pp n/a-n/a (2021)
Earth and Space Science
Earth and Space Science, Vol 8, Iss 12, Pp n/a-n/a (2021)
openaire: EC/H2020/819202/EU//SOS.aquaterra Funding Information: We acknowledge the use of data and/or imagery from NASA's Fire Information for Resource Management System (FIRMS) ( https://earthdata.nasa.gov/firms ), part of NASA's Earth Observing Sy
Publikováno v:
Process Safety and Environmental Protection. 105:127-133
The flash point is one of the most important flammability properties of compounds for the design of inherently safe processes. Many models have been developed to predict the flash point using the DIPPR database. However, for only 740 of the 1628 orga
Autor:
Thomas A. Groen, Andrew K. Skidmore, Nicholas A. S. Hamm, Albertus G. Toxopeus, Sara Alibakhshi, Babak Naimi
Publikováno v:
Spatial statistics, 29, 66-88. Elsevier
Spatial Statistics, 29, 66-88. Elsevier
Spatial Statistics, 29, 66-88. Elsevier
Research on spatial data analysis has developed a number of local indicators of spatial association (LISA), which allow exploration of local patterns in spatial data. These include local Moran’s I and local Geary’s c, as well as Gi and G*i that c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4510160187afc6acd2902be6c2a75f1
https://research.utwente.nl/en/publications/04910fe9-d898-45e6-93aa-1e59c0fe79d1
https://research.utwente.nl/en/publications/04910fe9-d898-45e6-93aa-1e59c0fe79d1