Evidence map›Paper›PMID 39198479›Full record

ArticleScientific reports2024

Ecological space management and control zoning of Giant Panda National Park from the perspective of ecosystem services and land use.

Jiaxing Zhu, Zhigang Li, Jie Yang, Keyao Yu, Dong Zhang, Jialong Zhong

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jiaxing ZhuCollege of Earth Science, Chengdu University of Technology, 1 East Third Road, Erxian Bridge, Chenghua District, Chengdu, 610059, Sichuan Province, People's Republic of China.
Zhigang LiCollege of Management Science, Chengdu University of Technology, 1 East Third Road, Erxian Bridge, Chenghua District, Chengdu, 610059, Sichuan Province, People's Republic of China. cdlglzg@163.com.
Jie YangCollege of Management Science, Chengdu University of Technology, 1 East Third Road, Erxian Bridge, Chenghua District, Chengdu, 610059, Sichuan Province, People's Republic of China.
Keyao YuCollege of Management Science, Chengdu University of Technology, 1 East Third Road, Erxian Bridge, Chenghua District, Chengdu, 610059, Sichuan Province, People's Republic of China.
Dong ZhangCollege of Management Science, Chengdu University of Technology, 1 East Third Road, Erxian Bridge, Chenghua District, Chengdu, 610059, Sichuan Province, People's Republic of China.
Jialong ZhongCollege of Management Science, Chengdu University of Technology, 1 East Third Road, Erxian Bridge, Chenghua District, Chengdu, 610059, Sichuan Province, People's Republic of China.

Funding

Chengdu University of Technology "Double First-Class" initiative Construction Philosophy and Social Sciences Key Construction Project ZDJS202303Key Project of National Park Research Center, Key Social Science Research Base of Sichuan Province, "National Park Natural Ecosystem Service Function Importance Evaluation and Protection Policy Research" GJGY2020-ZD002
6 · The paper itself

Abstract

Since China proposed building a national park system in 2017, the establishment of a planning system for nature reserves, with national parks as the main body, is being actively promoted around the country. Among them, scientific ecological space management and control zoning (ESMCZ) is an important link in maintaining the ecological stability of national parks. How to zone national parks and how to improve the precision of zoning has become a new task for national parks. Therefore, this study takes the Giant Panda National Park as the study area, takes ecosystem services and land use/cover change as the research perspective, integrates the InVEST model, PLUS model and bayes belief network (BBN) model, and builds a set of ecological space management and control zoning (ESMCZ) spatial zoning framework based on raster scale, dividing the study area into strictly protected zone, ecological buffer zone, ecological control zone and controlled development zone. The results showed that: (1) The study area showed an increasing trend in water conservation, soil conservation and carbon storage from 2005 to 2020, and the habitat quality index was generally high. The spatial heterogeneity of ecosystem services in the study area was significant, and the effect of a single factor on ecosystem services was most pronounced. (2) Large variation in area for different land uses under natural development scenarios and ecological protection scenarios. In both scenarios, the area of cultivated land, the area of grassland and the area of unused land decrease relative to 2020, and the area of forested land, the area of water and the area of constructed land increase relative to 2020. (3) The Giant Panda National Park is divided into strictly protected zone, ecological buffer zone, ecological control zone and control development zone, of which the strictly protected zone have the largest area and the best ecosystem background condition, and the control development zone have the smallest area and the worst ecosystem background condition. (4) The ecological space management and control zoning (ESMCZ) framework provides a more refined method for the secondary zoning of nature reserves such as the Giant Panda National Park, which is valuable for the implementation of zoning and categorization management for ecological conservation in the Giant Panda National Park.

Indexed as

Conservation of Natural ResourcesEcosystemParks, RecreationalUrsidaeAnimalsBayes TheoremCarbon SequestrationChinaComputer SimulationConservation of Water ResourcesDatasets as TopicEcologyProbabilitySoilSoilEcological space management and control zoningEcosystem servicesGiant Panda National ParkLand use

Identifiers

PMID39198479
PMCPMC11358335

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.