Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 647 - 698
Published: Sept. 10, 2024
Language: Английский
Journal of Plant Ecology, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 2, 2025
Abstract Climate change has significantly altered the carbon and water cycles of terrestrial ecosystems. extended vegetation growing season enhanced ecosystem gross primary production (GPP). However, relative contributions climate drivers phenology to GPP remain unclear. Based on satellite-derived datasets from 1982 2018, we investigated spatiotemporal patterns its in Jinsha River Watershed. We found that increased which was primarily attributed changes length (GSL) temperature. The effect GSL is highest (r = 0.34), with being larger than temperature, precipitation, radiation 41% watershed. Importantly, area where predominantly influenced by 12% grid cells during period 2001–2018 compared 1982–2000, indicating playing an increasingly important role driving GPP. Our findings highlight dynamic responses associated phenological variations, crucial for improving understanding balance.
Language: Английский
Citations
0
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Jan. 9, 2025
Language: Английский
Citations
0
Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113133 - 113133
Published: Jan. 1, 2025
Language: Английский
Citations
0
Global Change Biology, Journal Year: 2025, Volume and Issue: 31(4)
Published: April 1, 2025
ABSTRACT Climate change is causing sea‐ice to retreat from Arctic ecosystems. Loss of ice impacts the ecosystem in many ways, reducing habitat area for specialist species like polar bears, releasing freshwater and nutrients, increasing light penetration into water column. To explore interaction these effects, we implemented a Northeast Greenland continental shelf parameterisation end‐to‐end model StrathE2E. We used output NEMO‐MEDUSA ocean‐biogeochemistry under Representative Concentration Pathway 8.5 as driving data, which suggests northeast will become seasonally ice‐free by 2050. simulated half century climate running system set steady states each decade 2010s 2050s. Our simulations show boosts productivity marine food web. Total living mass increases over 25%, with proportionally larger higher trophic levels. The exception this 66% reduction maritime mammal mass. Additional network indices reveal that becomes more mature, future diets specialized lengthening provides long‐term strategic insight management shelf, allowing quantitative evaluation conservation goals scale prospective fisheries. results present mixed picture Arctic, growing populations fish charismatic megafauna cetaceans accompanied loss endemic biodiversity such bears.
Language: Английский
Citations
0
Frontiers in Forests and Global Change, Journal Year: 2025, Volume and Issue: 8
Published: April 16, 2025
Realistic projections of future wildfires need to account for both the stochastic nature climate and randomness individual fire events. Here we adopt a probabilistic approach predict current probabilities using large ensemble 1,600 modelled years representing different realisations during modern reference period (2000–2009) characterised by an additional 2°C global warming. This allows us characterise distribution contiguous United States, including extreme when number fires or length season exceeded those seen in short observational record. We show that spread is higher areas with high mean fires, but there variation this relationship regions proportionally variability Great Plains southwestern States. The principal drivers simulated are related either interannual fuel production atmospheric moisture controls on drying, distinct geographic patterns which each these dominant control. also shows considerable length, such as States being vulnerable very long seasons years. increases warming, even more across three quarters Warming has strong effect likelihood less fire-prone northern experience It amplifying annual occurrence already western area availability control substantially These analyses demonstrate importance taking stochasticity characterising wildfire regimes, utility ensembles making under change.
Language: Английский
Citations
0
Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145616 - 145616
Published: April 1, 2025
Language: Английский
Citations
0
Forests, Journal Year: 2024, Volume and Issue: 15(6), P. 913 - 913
Published: May 24, 2024
Gross primary productivity (GPP), representing organic carbon fixation through photosynthesis, is crucial for developing science-based strategies sustainable development. Given that the tropical region harbors nearly half of all species, it plays a pivotal role in safeguarding global environment against climate change and preserving biodiversity. Thus, investigating changes vegetation within this holds substantial practical importance estimating productivity. In study, we employed an enhanced P model to estimate GPP from 2001 2020, based on which quantified spatiotemporal associated mechanisms. The results reveal annual mean ranged 2603.9 2757.1 g·cm−2 a−1, demonstrating overall apparent increasing trend. Inland areas were mainly influenced by precipitation, while coastal primarily temperature. Land cover changes, especially conversion cropland, significantly influence GPP, with deciduous—evergreen forest transitions causing notable decreases. Climate emerges as dominant factor affecting indicated contribution rate analysis. This research interprets pattern mechanisms tropics, offering valuable insights ecosystem management.
Language: Английский
Citations
2
Remote Sensing, Journal Year: 2024, Volume and Issue: 16(19), P. 3723 - 3723
Published: Oct. 7, 2024
Gross primary productivity (GPP) is vital for ecosystems and the global carbon cycle, serving as a sensitive indicator of ecosystems’ responses to climate change. However, impact future changes on GPP in Tibetan Plateau, an ecologically important climatically region, remains underexplored. This study aimed develop data-driven approach predict seasonal annual variations Plateau up year 2100 under changing climatic conditions. A convolutional neural network (CNN) was employed investigate relationships between various environmental factors, including variables, CO2 concentrations, terrain attributes. analyzed projected from Coupled Model Intercomparison Project Phase 6 (CMIP6) four scenarios: SSP1–2.6, SSP2–4.5, SSP3–7.0, SSP5–8.5. The results suggest that expected significantly increase throughout 21st century all scenarios. By 2100, reach 1011.98 Tg C, 1032.67 1044.35 1055.50 C scenarios, representing 0.36%, 4.02%, 5.55%, 5.67% relative 2021. analysis indicates spring autumn shows more pronounced growth SSP3–7.0 SSP5–8.5 scenarios due extended growing season. Furthermore, identified elevation band 3000 4500 m particularly change terms response. Significant increases would occur east Qilian Mountains upper reaches Yellow Yangtze Rivers. These findings highlight pivotal role driving dynamics this region. insights not only bridge existing knowledge gaps regarding over coming decades but also provide valuable guidance formulation adaptation strategies at ecological conservation management.
Language: Английский
Citations
2
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 938, P. 173337 - 173337
Published: May 24, 2024
Language: Английский
Citations
1
International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)
Published: Sept. 4, 2024
Language: Английский
Citations
1