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\begin{document}

\title{Dynamic Simulation of the Grassland Connectivity and the Effects of
Landscape Pattern in China's Poyang Lake from the Integrated Perspective
of Habitat and Biology}



\author[1]{Wenbo Chen}%
\author[2]{Cheng Zhang}%
\author[3]{Lei He}%
\author[4]{Fangfang Huang}%
\author[2]{Haifeng Li}%
\affil[1]{Faculty of Geomatics East China University of Technology Nanchang 330013 China}%
\affil[2]{Jiangxi Agricultural University}%
\affil[3]{Jiangxi University of Finance and Economics}%
\affil[4]{School of Civil Engineering and Architecture Zhejiang Guangsha Vocational and Technical University of construction Dongyang 322100 China}%


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  \date{May 26, 2024}


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\begin{abstract}
Analyzing the dynamics of landscape connectivity is of great
significance for biodiversity conservation, but the description of
multiple ecological processes and the depth of coupling requires to be
strengthen. Taking the grassland of Poyang Lake as a case, based on the
integrated perspective of habitat and biology, comprehensively
considering the ecological process of water level change and species
diffusion, this study firstly analyzed the changes of landscape
connectivity of grassland with different water levels and diffusion
distances by using the graph-based connectivity indices. then, landscape
pattern indices were applied to analyze the dynamics of landscape
pattern of grassland and further study the effects of landscape pattern
on connectivity. The results showed as follows: (1) From the perspective
of habitat, grassland connectivity showed a sharp decrease with the
increase of water level. From the perspective of ecology, the species
diffusion distance had an absolutely positive impact on landscape
connectivity. With the increase of diffusion distance, grassland
connectivity increased significantly. (2) The dynamics of landscape
pattern of grassland showed that with the increase of water level, the
patch area shrank, the patch shape tended to be simple, the patch
density decreased and the patch fragmentation aggravated. (3) The
correlation results between landscape pattern and connectivity indicated
that F had a significant positive relationship with PD, ED, PC had a
strong significant positive relationship with LPI, COHESION, and NC had
a negative relationship with LPI, ED, COHESION. This study provides
theoretical guidance for the conservation and management of grassland in
Poyang Lake.%
\end{abstract}%



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\textbf{Hosted file}

\verb`Manuscripts-Cheng Zhang.doc`  available at \url{https://authorea.com/users/512783/articles/589180-dynamic-simulation-of-the-grassland-connectivity-and-the-effects-of-landscape-pattern-in-china-s-poyang-lake-from-the-integrated-perspective-of-habitat-and-biology}

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