A New Grazing–Vegetation Tradeoff and Coordination Indicator: The Grazing Intensity and Vegetation Cover Harmonization Index (GVCI) DOI Creative Commons

Qinyi Huang,

Jianjun Chen, Xinhong Li

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 15(1), P. 27 - 27

Published: Dec. 26, 2024

Overgrazing typically leads to grassland vegetation degradation and reduction, which in turn triggers a series of ecological problems. Therefore, it is crucial understand the effects different Grazing Intensities (GIs) on Vegetation Ecosystem (VE) achieve sustainable grazing development. This study proposes new quantitative index, Intensity Cover Harmonization Index (GVCI), based multiple indicators such as fractional cover (FVC), net primary productivity (NPP), GI. The GVCI was used quantify “Harmonization Conflict” status between GI VE 39 Prefecture-Level Cities (PLCs) Qinghai-Tibet Plateau (QTP) evaluate development level regions. In addition, Random Forest (RF) model simulate trend various PLCs from 2015 2040. results showed following: (1) can effectively response relationship VE. overall QTP “Harmonization” state, with proportion areas state fluctuating upwards. (2) economic intuitively affects harmonization Gross Domestic Product (GDP) one important level. higher GDP levels exhibited strong positive correlation regional GDP. (3) simulation indicate that an increasing number will shift toward state. However, some western regions were still “Overload” there need for close monitoring their activities dynamics. proposed this provides novel methodology quantifying complex It offers scientific support ecologically fragile QTP. research be robust basis government formulate reasonable plans.

Language: Английский

A framework for dynamic assessment of soil erosion and detection of driving factors in alpine grassland ecosystems using the RUSLE-InVEST (SDR) model and Geodetector: A case study of the source region of the Yellow River DOI Creative Commons

Hucheng Li,

Jianjun Chen, Ming Ling

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102928 - 102928

Published: Nov. 1, 2024

Language: Английский

Citations

6

Scenario simulation of carbon balance in carbon peak pilot cities under the background of the "dual carbon" goals DOI
Jinting Zhang, Kui Yang,

Jingdong Wu

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 105910 - 105910

Published: Oct. 1, 2024

Language: Английский

Citations

4

Spatial-temporal evolution of carbon storage and its driving factors in the Shanxi section of the Yellow River Basin, China DOI

Jia-Kai Ma,

Zixuan Hao,

Yaqi Shen

et al.

Ecological Modelling, Journal Year: 2025, Volume and Issue: 502, P. 111039 - 111039

Published: Feb. 8, 2025

Language: Английский

Citations

0

Multi‐Species Telemetry Quantifies Current and Future Efficacy of a Remote Marine Protected Area DOI Creative Commons
Morgan E. Gilmour,

Kydd Pollock,

Josh Adams

et al.

Global Change Biology, Journal Year: 2025, Volume and Issue: 31(4)

Published: April 1, 2025

ABSTRACT Large‐scale marine protected areas (LSMPAs; > 1000 km 2 ) provide important refuge for large mobile species, but most do not encompass species' ranges. To better understand current and future LSMPA value, we concurrently tracked nine species (seabirds, cetaceans, pelagic fishes, manta rays, reef sharks) at Palmyra Atoll Kingman Reef (PKMPA) in the U.S. Pacific Islands Heritage Marine National Monument. PKMPA Exclusive Economic Zone encompassed 39% 54% of movements ( n = 83; tracking duration range: 0.5–350 days), respectively. Species distribution models indicated 73% contained highly suitable habitat. Under two projected scenarios (SSP 1–2.6, “Sustainability”; SSP 3–7.0, “Rocky Road”), strong sea surface temperature gradients initially could cause abrupt oceanic change resulting predicted habitat loss 2040–2050, followed by an equilibrium response regained 2090–2100. Current habitats were available adjacent to PKMPA, suggesting that increased MPA size enhance protection. Our three‐tiered approach combining animal with publicly remote sensing data environmental be used design, study, monitor throughout world. Holistic approaches diverse use can assessments area designs. Animal telemetry may helpful ascertaining extent which other MPAs protect future.

Language: Английский

Citations

0

A New Grazing–Vegetation Tradeoff and Coordination Indicator: The Grazing Intensity and Vegetation Cover Harmonization Index (GVCI) DOI Creative Commons

Qinyi Huang,

Jianjun Chen, Xinhong Li

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 15(1), P. 27 - 27

Published: Dec. 26, 2024

Overgrazing typically leads to grassland vegetation degradation and reduction, which in turn triggers a series of ecological problems. Therefore, it is crucial understand the effects different Grazing Intensities (GIs) on Vegetation Ecosystem (VE) achieve sustainable grazing development. This study proposes new quantitative index, Intensity Cover Harmonization Index (GVCI), based multiple indicators such as fractional cover (FVC), net primary productivity (NPP), GI. The GVCI was used quantify “Harmonization Conflict” status between GI VE 39 Prefecture-Level Cities (PLCs) Qinghai-Tibet Plateau (QTP) evaluate development level regions. In addition, Random Forest (RF) model simulate trend various PLCs from 2015 2040. results showed following: (1) can effectively response relationship VE. overall QTP “Harmonization” state, with proportion areas state fluctuating upwards. (2) economic intuitively affects harmonization Gross Domestic Product (GDP) one important level. higher GDP levels exhibited strong positive correlation regional GDP. (3) simulation indicate that an increasing number will shift toward state. However, some western regions were still “Overload” there need for close monitoring their activities dynamics. proposed this provides novel methodology quantifying complex It offers scientific support ecologically fragile QTP. research be robust basis government formulate reasonable plans.

Language: Английский

Citations

1