Widespread degradation and limited protection of forests in global tropical dry ecosystems

Stan, Kayla D.; Sanchez-Azofeifa, Arturo; Hamann, Hendrik F.

doi:10.1016/j.biocon.2023.110425

Biological Conservation

2024

DOI: 10.1016/j.biocon.2023.110425

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Widespread degradation and limited protection of forests in global tropical dry ecosystems

Kayla D. Stan,

Arturo Sanchez-Azofeifa,

Hendrik F. Hamann

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2024

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Cited by 3 publications

References 42 publications

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Effects of Vegetable Cover on the Regeneration Process in Degraded Dry Forest in Brazil

de Souza,

Ramos,

Maciel

et al. 2024

Land Degrad Dev

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The Brazilian Caatinga is among the most diverse dry forests in the world, yet half of its original coverage has been degraded. Natural regeneration is influenced by climatic and edaphic conditions, as well as the existing adult stratum. Despite its significance, this process remains poorly understood in the Caatinga. Thus, our study aimed to analyze how anthropogenic disturbance, vegetation cover, and soil properties affect the regenerating stratum under different levels of Caatinga vegetation cover. The research was conducted in the driest region of Brazil. The selected sites represent low (Area I) and high (Area II) normalized difference vegetation index. Six vegetable plots (50 × 20 m each) were delimited to study adult stratum, and four vegetable plots (10 × 10 m each) to regeneration stratum. Topsoil was sampled in all vegetable plots. Our results reveal interactions between soil characteristics and the adult and regenerating strata. Area II exhibited higher diversity and a greater number of exclusive species, while Area I was dominated by species more resistant to limiting conditions, such as Aspidosperma pyrifolium Mart. & Zucc. The C and N content in the soil showed a positive and significant correlation with the diversity of the regenerating stratum. The data suggest that the area with less vegetation cover, richness, and diversity shows signs of desertification.

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Effects of Vegetable Cover on the Regeneration Process in Degraded Dry Forest in Brazil

de Souza,

Ramos,

Maciel

et al. 2024

Land Degrad Dev

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An actor-centered, scalable land system typology for addressing biodiversity loss in the world’s tropical dry woodlands

Pratzer,

Meyfroidt,

Antongiovanni

et al. 2024

Global Environmental Change

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Monitoring vegetation degradation using remote sensing and machine learning over India – a multi-sensor, multi-temporal and multi-scale approach

Sur,

Verma,

Panwar

et al. 2024

Front. For. Glob. Change

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Vegetation cover degradation is often a complex phenomenon, exhibiting strong correlation with climatic variation and anthropogenic actions. Conservation of biodiversity is important because millions of people are directly and indirectly dependent on vegetation (forest and crop) and its associated secondary products. United Nations Sustainable Development Goals (SDGs) propose to quantify the proportion of vegetation as a proportion of total land area of all countries. Satellite images form as one of the main sources of accurate information to capture the fine seasonal changes so that long-term vegetation degradation can be assessed accurately. In the present study, Multi-Sensor, Multi-Temporal and Multi-Scale (MMM) approach was used to estimate vulnerability of vegetation degradation. Open source Cloud computing system Google Earth Engine (GEE) was used to systematically monitor vegetation degradation and evaluate the potential of multiple satellite data with variable spatial resolutions. Hotspots were demarcated using machine learning techniques to identify the greening and the browning effect of vegetation using coarse resolution Normalized Difference Vegetation Index (NDVI) of MODIS. Rainfall datasets of Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) for the period 2000–2022 were also used to find rainfall anomaly in the region. Furthermore, hotspot areas were identified using high-resolution datasets in major vegetation degradation areas based on long-term vegetation and rainfall analysis to understand and verify the cause of change whether anthropogenic or climatic in nature. This study is important for several State/Central Government user departments, Universities, and NGOs to lay out managerial plans for the protection of vegetation/forests in India.

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Widespread degradation and limited protection of forests in global tropical dry ecosystems

Cited by 3 publications

References 42 publications

Effects of Vegetable Cover on the Regeneration Process in Degraded Dry Forest in Brazil

Effects of Vegetable Cover on the Regeneration Process in Degraded Dry Forest in Brazil

An actor-centered, scalable land system typology for addressing biodiversity loss in the world’s tropical dry woodlands

Monitoring vegetation degradation using remote sensing and machine learning over India – a multi-sensor, multi-temporal and multi-scale approach

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