Results 41 to 50 of about 555,458 (199)

Interplay between snow phenology and vegetation phenology in Alaska under climate change

Advances in Climate Change Research
Snow cover is one of the most important factors controlling Arctic ecosystems' microclimate and plant growth conditions in Arctic ecosystems. Climate change has impacted the timing and spatial variability of both snow cover, and worldwide vegetation ...
Ya-Qiong Mu, Tao Che, Li-Yun Dai, Shi-Wei Liu, Gui-Gang Wang   +4 more
doaj   +1 more source

Dental anomalies in Pleistocene African hippopotamuses from Olduvai Bed II

The Anatomical Record, EarlyView.
Abstract Hippopotamuses are key palaeoenvironmental indicators in African Pleistocene ecosystems due to their ecological dependence on permanent water bodies and their frequent representation in the fossil record. This study examines dental anomalies in Hippopotamus cf. gorgops from several localities in Bed II of Olduvai Gorge (Tanzania), dated to ca.
Darío Fidalgo, Faysal Bibi, Jean‐Renaud Boisserie, Jackson K. Njau, Ignacio de la Torre   +4 more
wiley   +1 more source

Impact of Snow Cover Phenology on the Vegetation Green-Up Date on the Tibetan Plateau

Remote Sensing, 2022
Variations in snow cover resulting from global warming inevitably affect alpine vegetation growth on the Tibetan Plateau (TP), but our knowledge of such influences is still limited.
Jingyi Xu, Yao Tang, Jiahui Xu, Song Shu, Bailang Yu, Jianping Wu, Yan Huang   +6 more
doaj   +1 more source

Increase in plant productivity in the tundra in Sweden is not related to increasing presence of warm‐adapted vascular plant species

Ecography, EarlyView.
Over the past decades, Arctic and alpine biomes have warmed faster than the global average. Substantial vegetation changes have been reported as a response to this warming, including increased productivity and the spread of warm‐adapted (thermophilic) species that are less resistant to grazing pressure into higher latitudes and altitudes.
Tim Horstkotte, Jakob Assmann, Henrik Hedenås, Signe Normand, Johan Olofsson   +4 more
wiley   +1 more source

Improving Remote Estimation of Vegetation Phenology Using GCOM-C/SGLI Land Surface Reflectance Data

Remote Sensing, 2022
Vegetation phenology not only describes the life cycle events of periodic plants during the growing season but also acts as an indicator of biological responses to climate change.
Mengyu Li, Wei Yang, Akihiko Kondoh
doaj   +1 more source

Response of Vegetation Phenology to Climate Change on the Tibetan Plateau Considering Time-Lag and Cumulative Effects

, 2023
The study of the response of vegetation phenology in the Qinghai Tibet Plateau to various climatic variables is paramount to unveiling the reaction of alpine ecosystems to worldwide climate alterations.
Guangsheng Zhou, Zhihui Tian, Anqi Liu, Lili Wu, Xiaohui He   +4 more
core   +1 more source

Climate‐driven resource availability drives medium‐ and broad‐scale temporal changes in owl–prey interactions over 24 years in a semi‐arid ecosystem

Ecography, EarlyView.
Predator–prey interactions are vital to ecosystem functioning but may be disrupted by climate change. We investigated a food‐web network involving three owl species over 24 years in a semi‐arid ecosystem at Bosque Fray Jorge National Park, Chile.
Jazmin M. Quiroz‐Calizaya, Adriana Lozada, Douglas A. Kelt, Alejandra J. Troncoso, Peter L. Meserve, M. Andrea Previtali, W. Bryan Milstead, Julio R. Gutiérrez, Craig Weideman, Nicolas Gouin, Tyler R. Kartzinel, Karin Maldonado, Angéline Bertin   +12 more
wiley   +1 more source

Drought Risk in Mango and Avocado Orchards: Insights Into Plant Water Relations and Irrigation‐Related Agronomic Solutions

Irrigation and Drainage, EarlyView.
ABSTRACT Climate change is making water availability more uncertain, with growing consequences for the productivity and long‐term sustainability of tropical and subtropical fruit orchards. Mangifera indica L. and Persea americana Mill. both require large amounts of water to sustain growth and productivity.
Eleonora Cataldo
wiley   +1 more source

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

Irrigation and Drainage, EarlyView.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin, Hasan Er, Mete Yaganoglu, Muhammed Sungur Demir, Abdullah Muratoglu   +4 more
wiley   +1 more source

Vegetation photosynthetic phenology dataset in northern terrestrial ecosystems

Scientific Data, 2023
Vegetation phenology can profoundly modulate the climate-biosphere interactions and thus plays a crucial role in regulating the terrestrial carbon cycle and the climate.
Jing Fang, Xing Li, Jingfeng Xiao, Xiaodong Yan, Bolun Li, Feng Liu   +5 more
doaj   +1 more source