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Li Li

Researcher at Peking University

Publications -  8
Citations -  211

Li Li is an academic researcher from Peking University. The author has contributed to research in topics: Grassland degradation & Biodiversity. The author has an hindex of 6, co-authored 8 publications receiving 138 citations. Previous affiliations of Li Li include University of Freiburg & Xi'an Jiaotong-Liverpool University.

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Mapping degraded grassland on the Eastern Tibetan Plateau with multi-temporal Landsat 8 data - where do the severely degraded areas occur?

TL;DR: A strong connection between degradation patterns and climatic as well as altitudinal gradients, with an increased degradation risk for high altitude areas and areas in colder and drier climatic zones is supported.
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Land-use regime shift triggered the recent degradation of alpine pastures in Nyanpo Yutse of the eastern Qinghai-Tibetan Plateau

TL;DR: In this paper, the authors investigated the impact of the historical land-use regimes to the observed degradation, by conducting an in-depth case study in a local pastoral village in the Nyanpo Yutse region.
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A farmland biodiversity strategy is needed for China

TL;DR: Nationwide citizen science data show the importance of farmland outside protected areas for China’s avifauna and the government of China should develop a national strategy for policy and research to protect biodiversity and traditional knowledge of sustainable agriculture to meet the post-2020 goal of the Convention on Biological Diversity.
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Exploring links between culture and biodiversity: studying land use intensity from the plot to the landscape level

TL;DR: In this paper, a new conceptual framework reflecting the scaled nature of the linkages between land management and biodiversity is proposed, which can further understand the interconnectedness of humans and their environment.
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Rewilding cultural landscape potentially puts both avian diversity and endemism at risk: a Tibetan Plateau case study

TL;DR: Zhang et al. as mentioned in this paper conducted a study to make science-based conservation recommendations for the Tibetan avifauna by detecting their diversity and endemism distribution patterns at the local scale.