Zobrazeno 1 - 10
of 3 601
pro vyhledávání: '"ecological status"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Advancements in Artificial Intelligence (AI) technology allow for development of new tools for analytics and management which present new opportunities in field of environmental protection. The following study showcases usage of Machine Lear
Externí odkaz:
https://doaj.org/article/9af73f951146438581ef877ee72fb533
Publikováno v:
Global Ecology and Conservation, Vol 55, Iss , Pp e03237- (2024)
Despite the significant direct and indirect benefits that forests, particularly tropical highland forests, provide to local communities, they are facing severe degradation primarily due to population growth and rapid land-use changes. This has made i
Externí odkaz:
https://doaj.org/article/39f2050826984d249d452d7e14481c2d
Publikováno v:
Ecological Indicators, Vol 167, Iss , Pp 112637- (2024)
Environmental policies such as the Water Framework Directive (WFD) requires that the confidence of ecological status assessments should be reported. Such assessments are typically based on aggregating several ecological indicators, but the uncertaint
Externí odkaz:
https://doaj.org/article/ba644271d24d4480b3127d48410e1b2a
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112302- (2024)
Benthic diatoms have been widely utilized for assessing the ecological status of rivers, due to their ability to reflect the environmental changes from natural and anthropogenic disturbance. However, the recognized limitations of traditional morpholo
Externí odkaz:
https://doaj.org/article/19f73f30711f4e0a80e82f65b656374f
Autor:
А. V. Moshchenko
Publikováno v:
Известия ТИНРО, Vol 204, Iss 1, Pp 206-222 (2024)
Relationship between the environmental stress index (PES) and the mean total explained variance of biotic parameters (MEV, as a measure of the environmental factors influence on macrozoobenthic communities) is determined using the methods of multiple
Externí odkaz:
https://doaj.org/article/6b8f67299b1d4c2db0d607460f4a8ac5
Autor:
Álvaro Fueyo, Omar Sánchez, Carlos Carleos, Amando Escudero, Javier Cordón, Javier Granero‐Castro, Yaisel Juan Borrell
Publikováno v:
Ecology and Evolution, Vol 14, Iss 8, Pp n/a-n/a (2024)
Abstract Rivers are crucial ecosystems supporting biodiversity and human well‐being, yet they face increasing degradation globally. Traditional river biomonitoring methods based on morphological identification of macroinvertebrates present challeng
Externí odkaz:
https://doaj.org/article/77b820299a7443e9b0c4ca5ba2f2877d
Publikováno v:
Environmental and Sustainability Indicators, Vol 22, Iss , Pp 100364- (2024)
Large-scale mining operations in western China would accelerate the fragility and degradation to arid ecological environments. Remotely sensed monitoring and assessing of mining effects in long term change could provide sound understanding to guide m
Externí odkaz:
https://doaj.org/article/355776a899104e36ba9f4ed1028b2384
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 10, p 1768 (2024)
Coastal lagoons hold significant ecological value due to their rich biodiversity and essential roles in supporting ecosystems. However, they are increasingly threatened by accelerated climate change, and it is crucial to assess these environments’
Externí odkaz:
https://doaj.org/article/1f19b756e0734a3da693d8aba4915aed
Autor:
Wenjuan Wang, Timur Nizamutdinov, Aleksander Pechkin, Eugeniya Morgun, Gensheng Li, Xiaodong Wu, Sizhong Yang, Evgeny Abakumov
Publikováno v:
Land, Vol 13, Iss 9, p 1406 (2024)
Permafrost-affected regions in the Russian Arctic are a critical study area for studying the sources of metal elements (MEs) in soils originating from geological/pedogenic processes or from anthropogenic sources via atmospheric transport. In the Nady
Externí odkaz:
https://doaj.org/article/baa95777575749efba5a8a2391755689
Autor:
A. V. Moshchenko
Publikováno v:
Известия ТИНРО, Vol 203, Iss 3, Pp 618-638 (2023)
At least 16 communities of macrozoobenthos are determined by modern statistical methods on soft sediments in the coastal areas with the depth of ≥ 5 m of Peter the Great Bay at Vladivostok surveyed in 2001–2019. They were: I. Scoletoma spp. + Sig
Externí odkaz:
https://doaj.org/article/84e588c69d7a4664add28e490f96d37b