Results 71 to 80 of about 6,042,123 (195)

Quantifying the Impacts of Anthropogenic Activities and Climate Variations on Vegetation Productivity Changes in China from 1985 to 2015

Remote Sensing, 2020
Accurate assessment of vegetation dynamics provides important information for ecosystem management. Anthropogenic activities and climate variations are the major factors that primarily influence vegetation ecosystems.
Shahid Naeem, Yongqiang Zhang, Jing Tian, Faisal Mueen Qamer, Aamir Latif, Pranesh Kumar Paul   +5 more
doaj   +1 more source

Pearl millet demonstrates potential as a forage and cover crop in Wisconsin vegetable systems

Agrosystems, Geosciences &Environment, Volume 9, Issue 3, September 2026.
Abstract Pearl millet (Pennisetum glaucum (L.) R. Br.), a crop that is recognized for heat and drought tolerance and ability to suppress root‐lesion nematode (Pratylenchus penetrans), could serve as a suitable forage and cover crop for potato (Solanum tuberosum L.) and vegetable production systems in Wisconsin.
Paige Frautschy, Mallika A. Nocco, Marta M. Kohmann, Christopher J. Kucharik   +3 more
wiley   +1 more source

Network indices show heat wave‐induced fragility in experimental food webs: Operational insights for ecosystem management

Ecological Applications, Volume 36, Issue 6, September 2026.
Abstract Emerging global change imposes challenges for marine ecosystems placing them at the verge of collapse. The identification of early signs of ecosystem collapse is crucial to assist adaptive management. Shifts in the ecosystems are preceded by rewiring of ecological networks.
Maysa Ito, Anna Waffender, Marco Scotti
wiley   +1 more source

Distinct environmental controls on above- and below-ground net primary productivity in Northern China’s grasslands

Ecological Indicators
Grasslands, which cover approximately 40 % of the global land surface, are crucial to the global carbon cycle due to their substantial carbon storage capacity and sensitivity to environmental changes.
Haojun Zheng, Xiaofan Yang, Changqing Song, Wen Zhang, Wenjuan Sun, Guocheng Wang   +5 more
doaj   +1 more source

Seed mixes of intermediate grass:forb ratio create vegetation of greater ecosystem service provision in restorations

Ecological Applications, Volume 36, Issue 6, September 2026.
Abstract Restoring pollination services using forb‐dense seed mixes is seen as a possible way to mitigate global pollinator decline. Research is needed on whether this management factor impacts other ecosystem services that could be influenced by greater emphasis on forbs than grasses in seed mixes.
Nathan Soley, Simone Schmidt, Brian Wilsey   +2 more
wiley   +1 more source

Global Patterns and Drivers of Climatic Niche Originality and Overlap: Disentangling Ecological From Methodological Signals

Ecology and Evolution, Volume 16, Issue 9, September 2026.
This study presents BioOverlap, a global database quantifying macroclimatic niche properties, niche overlap, and geographic range overlap for ~16,000 species. Analyses reveal that niche originality consistently reflects ecological factors such as niche breadth, productivity, and climatic heterogeneity, whereas pairwise niche–range relationships are ...
Mathieu Chevalier, Clement Violet, Aurélien Boyé   +2 more
wiley   +1 more source

Linking species distribution models with population abundance to support adaptive fisheries management

Ecography, Volume 2026, Issue 9, September 2026.
Understanding how environmental variability structures essential fish habitat (EFH) is central to managing keystone populations in dynamic marine ecosystems. Using nearly three decades of standardized survey data (1994–2021) from the Adriatic Sea, we present the first basin‐scale, process‐based framework linking estimated habitat suitability and ...
Mahallelah Shauer, Roberto Massaro, Olumide Temitope Julius, Franceso Zangaro, Marco Rainó, Francesca Marcucci, Valeria Specchia, Armando Cazzetta, Nicholas R. Record, Maurizio Pinna   +9 more
wiley   +1 more source

Carbon dynamics, net primary productivity (NPP) and human appropriated NPP (HANPP) across a forest‐cocoa farm landscape in West Africa [PDF]

, 2019
Terrestrial net primary productivity (NPP) is an important metric of ecosystem functioning; however, there is little empirical data on the NPP of human-modified ecosystems, particularly smallholder,perennial crops like cocoa (Theobroma cacao), which are ...
McDermott, C. L., Moore, C, Boyd, E, Quaye, M, Michael Adu Sasu, Quaye, Marvin, Boyd, Emily, Adu-Bredu, Stephen,, Ashley Asare, Rebecca,, McDermott, Constance L.,, Malhi, Yadvinder, McDermott, CL, Morel, Alexandra C.,, Mason, J., Christine Moore, Adu Sasu, Michael, Adu Sasu, M, Adu-Bredu, S, Mason, John, Adu Sasu, M., Adu Sasu, Michael,, Malhi, Yadvinder,, Malhi, Y, Mark Hirons, Robinson, Elizabeth J.Z.,, Adu‐Bredu, S., Ashley Asare, R, Robinson, EJZ, Hirons, Mark,, Moore, C., Hirons, M., Norris, K, Adu-Bredu, Stephen, Alexandra C. Morel, Morel, AC, Quaye, M., Moore, Christine, Yadvinder Malhi, Norris, Ken, Mason, John,, Mason, J, Lund University., Morel, Alexandra C.; id_orcid, Marvin Quaye, Robinson, Elizabeth J.Z., Constance L. McDermott, Boyd, E., Hirons, Mark, Norris, Ken,, Ken Norris, Morel, Alexandra C., McDermott, Constance L., Ashley Asare, Rebecca, Hirons, M, Stephen Adu‐Bredu, Robinson, E. J. Z., Elizabeth J. Z. Robinson, Emily Boyd, McDermott, Constance, Moore, Christine,, Norris, K., Quaye, Marvin,, Morel, A. C., Rebecca Ashley Asare, Boyd, Emily,, Ashley Asare, R., John Mason, Malhi, Y.   +67 more
core   +1 more source

Climate warming and altered precipitation restructure grassland bumblebee communities

Ecosphere, Volume 17, Issue 9, September 2026.
Abstract Climate change represents a major threat to global biodiversity and associated ecosystem functions, including pollination. In both natural and agricultural environments, semi‐natural grasslands represent crucial foraging and nesting habitats for wild pollinators such as bumblebees, for which temporal population trends in these habitats remain ...
Liam Kendall, Mark V. Brady, Kimberly A. Nicholas, Peter Olsson, Zheng Zhou, Henrik G. Smith   +5 more
wiley   +1 more source

Predicting Seismic Intensity Using Machine Learning With Ancillary Data: Evidence From Destructive Earthquakes in China

Engineering Reports, Volume 8, Issue 9, September 2026.
A machine learning framework integrating multisource seismic, social, and geographic data accurately predicts kilometer‐scale seismic intensity, enabling rapid postearthquake damage assessment during data‐scarce “black‐box” periods. ABSTRACT Accurate and rapid assessment of seismic intensity is crucial for postearthquake emergency response.
Ma Yuan, Yu Jianming, Zhao Hui, Gong Huiyuan, Zhang Jianying   +4 more
wiley   +1 more source