Zobrazeno 1 - 10
of 3 241
pro vyhledávání: '"Regional scale"'
Publikováno v:
Shuitu Baochi Xuebao, Vol 38, Iss 4, Pp 72-82 (2024)
[Objective] Soil and water conservation is important in protecting and improving the ecological environment, which plays an important role for the sustainable development of ecosystems. [Methods] While the study of the soil and water conservation eff
Externí odkaz:
https://doaj.org/article/71b3537f4352459f8a6a6738088890e0
Publikováno v:
Journal of Maps, Vol 20, Iss 1, Pp 1-14 (2024)
ABSTRACTIn mountain regions, the impact of areas on the sediment conveyance can not only be described by their susceptibility to debris flow release, but also by their structural connectivity to the rivers. This generates the need to combine suscepti
Externí odkaz:
https://doaj.org/article/264c0d43fcd948269e5dd8bb21be01c7
Publikováno v:
Climate, Vol 12, Iss 8, p 127 (2024)
Climate change and rising sea levels pose significant threats to coastal regions, necessitating accurate and timely forecasts. Current methods face limitations due to their inability to fully capture nonlinear complexities, high computational costs,
Externí odkaz:
https://doaj.org/article/95d817a0970c454b8c1e0b6b981bf455
Autor:
Nima Mirhadi, Renato Macciotta
Publikováno v:
Geosciences, Vol 14, Iss 7, p 194 (2024)
This work illustrates a semi-quantitative approach to evaluate changes in regional landslide distribution as a consequence of forecasted climate change, which can be adopted at other regions. We evaluated the relationship between climate conditions a
Externí odkaz:
https://doaj.org/article/711cffb92367407287571241131e9931
Autor:
Marina Sanz-Martín, Manuel Hidalgo, Patricia Puerta, Jorge García Molinos, Marina Zamanillo, Isaac Brito-Morales, José Manuel González-Irusta, Antonio Esteban, Antonio Punzón, Encarnación García-Rodríguez, Miguel Vivas, Lucía López-López
Publikováno v:
Ecological Indicators, Vol 160, Iss , Pp 111741- (2024)
The Mediterranean Sea is one of the most vulnerable ecosystems in the world due to the variety and severity of cumulative impacts faced, including high climate risk. Species distributions are expected to track climate niches in response to warming, w
Externí odkaz:
https://doaj.org/article/43fe5c72c2c444599566567ebc7b2793
Autor:
Lei Ma, Chunmei Wang, Yuan Zhong, Guowei Pang, Lei Wang, Yongqing Long, Qinke Yang, Bingzhe Tang
Publikováno v:
Land, Vol 13, Iss 4, p 553 (2024)
Ephemeral gully (EG) erosion is an important type of water erosion. Understanding the spatial distribution of EGs and other influencing factors at a regional scale is crucial for developing effective soil and water management strategies. Unfortunatel
Externí odkaz:
https://doaj.org/article/54f29b6983a74dd5b4e76b97c96112e1
Autor:
Francisco Leitão
Publikováno v:
Oceans, Vol 4, Iss 3, Pp 220-235 (2023)
The influence of environmental variables (oceanographic and climatic) on the catch rates of striped red mullet (Mullus surmuletus) by artisanal fishery was investigated using different time series models (Dynamic Factorial Analyses; Min-Max Factorial
Externí odkaz:
https://doaj.org/article/675281aa71e74591a10f5e0faf915290
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
Landslide susceptibility prediction (LSP) is an important step for landslide hazard and risk assessment. Automated machine learning (AutoML) has the advantages of automatically features, models, and parameters selection. In this study, we proposed an
Externí odkaz:
https://doaj.org/article/1a416076098d4e12874dc3ca255d89b8
Autor:
Federico Mori, Daniele Spina, Flavio Bocchi, Amerigo Mendicelli, Giuseppe Naso, Massimiliano Moscatelli
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 14, Iss 1 (2023)
AbstractThe peak roof drift ratio is one of the most important engineering parameters to describe the expected seismic damage in a building. A predictive model of the drift ratio was developed using a machine learning approach (Gaussian process regre
Externí odkaz:
https://doaj.org/article/2ff6758a7df140298af2b91d955ab34b
Autor:
Xufei Jiang, Yan Liu, Rixiu Zhou, Tianyi Sun, Jingdan Cao, Shuqing An, Jiachen Shen, Xin Leng
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
Dams are increasingly disrupting natural river systems, yet studies investigating their impact on microbial communities at regional scale are limited. Given the indispensable role of bacterioplankton in aquatic ecosystems, 16S rRNA gene sequencing wa
Externí odkaz:
https://doaj.org/article/db96a31da7f444a59815262111a1ef90