Results 121 to 130 of about 2,178,691 (202)

Climate and traits drive bark decomposition patterns at global scale. [PDF]

Nat Commun
Chang C, Liu J, Zhu B, Dossa GGO, Yang W, Wang X, Cornelissen JHC.   +6 more
europepmc   +1 more source

Spatial temporal variation characteristics and driving factors of net primary productivity in the Huaihe River Economic Belt on seasonal scale. [PDF]

Sci Rep
Niu J, Wang Z, Nugraha ASA, Lin H, Xu F, Huang L, Zhu X.   +6 more
europepmc   +1 more source

Reveal the deployable solar energy potential and emission reduction benefits in the arid areas of Xinjiang. [PDF]

Sci Rep
Li N, Yu W, Liu K, Zhou Y, Zhang H, Zhang H.   +5 more
europepmc   +1 more source

Global Marine Fishery Stock Productivity Under Climate Change. [PDF]

Glob Chang Biol
Ma S, Huse G, Ono K, Alix M, Tian Y, Hart PJB, Kjesbu OS.   +6 more
europepmc   +1 more source

Quantifying responses of climatic and anthropogenic factors on vegetation normalized difference vegetation index variabilities over Yellow River Basin, China. [PDF]

Front Plant Sci
Yu Z, Wang L, Yan J, Yuan Z, Zhang X.
europepmc   +1 more source

Citizen science for healthier food environments: a realist-informed process evaluation of the big food map app in Flanders, Belgium. [PDF]

Front Public Health
Vandevijvere S, Benhaiem J, Lamberts-Van Assche L, Van Kerckhove J, D'Hooghe S, Maréchal C, Peijnenborg M, Verbeke K.   +7 more
europepmc   +1 more source

Differentiating the thermal effects of land use change and functional intensity dynamics in Beijing. [PDF]

Sci Rep
Wei H, Gong A, Wan J, Zhang J, Fu Z, Jiang M.   +5 more
europepmc   +1 more source

Underwater cultural heritage and extreme events: Storm impacts under climate change. [PDF]

Proc Natl Acad Sci U S A
Germinario L, McLelland SJ, Mazzoli C.
europepmc   +1 more source

Homogenization of Northern Belgian landscapes through centuries of reclamation, agricultural transition, and urbanization. [PDF]

Nat Commun
De Keersmaeker L, Roggemans P, Poelmans L, Priem F, Taillir S, Petermans T, Van Valckenborgh J.   +6 more
europepmc   +1 more source

Swamp-AI: a deep learning model for monitoring wetlands change across the globe. [PDF]

Sci Rep
Andros CS, Conery IW, Alvarado TR, DeVore KR, Calaway TD, Rovai AS, Ikeda J, Collins AM, Masue-Slowey Y.   +8 more
europepmc   +1 more source