Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Dynamic Changes and Driving Factors of the Quality of the Ecological Environment in Sanjiangyuan National Park
by
He, Mingzhu
, Wang, Cong
, Liu, Liwei
, Li, Shaokun
, Zhang, Xiaohan
in
Analysis
/ Biodiversity
/ Climate change
/ Climatic changes
/ Datasets
/ Detectors
/ driving factor analysis
/ Ecosystems
/ Environmental management
/ Environmental quality
/ Evapotranspiration
/ Factor analysis
/ Moisture content
/ National parks
/ National parks and reserves
/ optimal multivariate-stratification geographical detector (OMGD)
/ Parks & recreation areas
/ Precipitation
/ Rain and rainfall
/ Rainfall
/ Remote sensing
/ remote sensing ecological index (RSEI)
/ Rivers
/ Sanjiangyuan National Park (SNP)
/ Single-nucleotide polymorphism
/ Thresholds
/ Vegetation
2025
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Dynamic Changes and Driving Factors of the Quality of the Ecological Environment in Sanjiangyuan National Park
by
He, Mingzhu
, Wang, Cong
, Liu, Liwei
, Li, Shaokun
, Zhang, Xiaohan
in
Analysis
/ Biodiversity
/ Climate change
/ Climatic changes
/ Datasets
/ Detectors
/ driving factor analysis
/ Ecosystems
/ Environmental management
/ Environmental quality
/ Evapotranspiration
/ Factor analysis
/ Moisture content
/ National parks
/ National parks and reserves
/ optimal multivariate-stratification geographical detector (OMGD)
/ Parks & recreation areas
/ Precipitation
/ Rain and rainfall
/ Rainfall
/ Remote sensing
/ remote sensing ecological index (RSEI)
/ Rivers
/ Sanjiangyuan National Park (SNP)
/ Single-nucleotide polymorphism
/ Thresholds
/ Vegetation
2025
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Dynamic Changes and Driving Factors of the Quality of the Ecological Environment in Sanjiangyuan National Park
by
He, Mingzhu
, Wang, Cong
, Liu, Liwei
, Li, Shaokun
, Zhang, Xiaohan
in
Analysis
/ Biodiversity
/ Climate change
/ Climatic changes
/ Datasets
/ Detectors
/ driving factor analysis
/ Ecosystems
/ Environmental management
/ Environmental quality
/ Evapotranspiration
/ Factor analysis
/ Moisture content
/ National parks
/ National parks and reserves
/ optimal multivariate-stratification geographical detector (OMGD)
/ Parks & recreation areas
/ Precipitation
/ Rain and rainfall
/ Rainfall
/ Remote sensing
/ remote sensing ecological index (RSEI)
/ Rivers
/ Sanjiangyuan National Park (SNP)
/ Single-nucleotide polymorphism
/ Thresholds
/ Vegetation
2025
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Dynamic Changes and Driving Factors of the Quality of the Ecological Environment in Sanjiangyuan National Park
Journal Article
Dynamic Changes and Driving Factors of the Quality of the Ecological Environment in Sanjiangyuan National Park
2025
Request Book From Autostore
and Choose the Collection Method
Overview
National parks face ecological threats from climate change and human activities. Sanjiangyuan National Park (SNP), a major ecological area in China, lacks a systematic evaluation of its ecological environmental quality changes and their driving factors. This study explores these dynamics to provide a scientific basis for regional ecological management. By constructing the remote sensing ecological index (RSEI) and using the optimal multivariate-stratification geographical detector (OMGD) model, we assessed ecological changes from 2014 to 2024. The results showed the RSEI remained stable at approximately 0.66, peaking at 0.732 in 2022, indicating a general improvement in ecological quality. The vegetation coverage rate (NDVI) increased from 0.591 to 0.680. Driving factor analysis revealed considerable regional variation, with temperature and human activities as the primary drivers. Higher RSEI values were associated with conditions where precipitation was moderate (~100 mm), evapotranspiration levels were high (>50 mm), temperatures were above average (>4 °C), and nighttime light indices were low (<0.6). These findings suggest that specific combinations of these factor thresholds may enhance ecological quality, informing protection strategies for SNP and providing a reference for similar plateau ecosystems.
This website uses cookies to ensure you get the best experience on our website.