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Changes in the spatiotemporal pattern of vegetation alter the structure and function of landscapes, consequently affecting biodiversity and ecological processes. Distinguishing human-induced vegetation changes from those driven by environmental variations is critically important for ecological understanding and management of landscapes. The main objectives(More)
Acknowledgment: The development of BSIM3v3.2 benefited from the input of many BSIM3 users, especially the Compact Model Council (CMC) member companies. TSMC for their valuable assistance in identifying the desirable modifications and testing of the new model. their guidance and support.
Multiple co-occurring environmental changes are affecting soil nitrogen cycling processes, which are mainly mediated by microbes. While it is likely that various nitrogen-cycling functional groups will respond differently to such environmental changes, very little is known about their relative responsiveness. Here we conducted four long-term experiments in(More)
This paper studies the partial information control problems of backward stochastic systems. There are three major contributions made in this paper: (i) First, we obtain a new stochas-tic maximum principle for partial information control problems. Our method relies on a direct calculation of the derivative of the cost functional. (ii) Second, we introduce(More)
The relationship between biodiversity and ecosystem functioning (BEF) is a central topic in ecology on local, regional, and global scales. A powerful approach to BEF studies is large-scale field manipulative experimentation. The Inner Mongolian Grassland Removal Experiment (IMGRE) was designed to examine the mechanisms of the BEF relationship in the world’s(More)