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Identifying prioritized planting areas for medicinal plant Thesium chinense Turcz. under climate change in China

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TLDR
In this article, the authors used the MaxEnt model to predict the suitable habitat for Thesium chinense Turcz and determined the potential migration trends of its suitable areas, and evaluated the main environmental variables that affect the distribution of T. chinense.
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This article is published in Ecological Informatics.The article was published on 2021-12-01. It has received 2 citations till now.

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Distribution pattern and change prediction of Saposhnikovia divaricata suitable area in China under climate change

TL;DR: Wang et al. as discussed by the authors simulated the suitable area of S. divaricata under current (1970-2000) and four climate change scenarios (i.e., SSP1-2.6, SSP2-4.5 and SSP5-8.5).
References
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Journal ArticleDOI

The impacts of climate change on water resources and agriculture in China

TL;DR: It is found that notwithstanding the clear warming that has occurred in China in recent decades, current understanding does not allow a clear assessment of the impact of anthropogenic climate change on China’s water resources and agriculture and therefore China's ability to feed its people.
Journal ArticleDOI

The crucial role of the accessible area in ecological niche modeling and species distribution modeling

TL;DR: This paper explored the conceptual and empirical reasons behind choice of extent of study area in such analyses, and offer practical, but conceptually justified, reasoning for such decisions, and asserted that the area that has been accessible to the species of interest over relevant time periods represents the ideal area for model development, testing, and comparison.
Journal ArticleDOI

ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models

TL;DR: ENMeval as mentioned in this paper is an R package that creates data sets for k-fold cross-validation using one of several methods for partitioning occurrence data (including options for spatially independent partitions), builds a series of candidate models using Maxent with a variety of user-defined settings and provides multiple evaluation metrics to aid in selecting optimal model settings.
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Surface chromium on Terracotta Army bronze weapons is neither an ancient anti-rust treatment nor the reason for their good preservation

TL;DR: It is shown that the lacquer used to cover warriors and certain parts of weapons is rich in chromium, and it is demonstrated that chromium on the metals is contamination from nearby lacquer after burial, and the chromium anti-rust treatment theory should be abandoned.
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