Integrating GIS, Remote Sensing, and Citizen Science to Map Oak Decline Risk across the Daniel Boone National Forest

Crocker, Ellen; Gurung, Kumari; Calvert, Jared; Nelson, C. Dana; Yang, Jian

doi:10.3390/rs15092250

Cited by 7 publications

(4 citation statements)

References 43 publications

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“…Then, each evaluation indicator was graded, assigning 1, 2, and 3 to the low, medium, and high grades, respectively (Table 3). Among them, the grading of terrain slope, surface soil texture, and distance to roads referred to the relevant national standards and previous studies [40], while the grading of other indicators was based on the Jenks grading method [52]. Finally, the weights and scores of each evaluation indicator were summarized to calculate the cropland quality index with a range of 1 to 3.…”

Section: Indicator System For Cropland Quality Evaluationmentioning

confidence: 99%

Evaluation of Spatiotemporal Changes in Cropland Quantity and Quality with Multi-Source Remote Sensing

Liu,

Wang,

Sang

et al. 2023

Land

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Timely cropland information is crucial for ensuring food security and promoting sustainable development. Traditional field survey methods are time-consuming and costly, making it difficult to support rapid monitoring of large-scale cropland changes. Furthermore, most existing studies focus on cropland evaluation from a single aspect such as quantity or quality, and thus cannot comprehensively reveal spatiotemporal characteristics of cropland. In this study, a method for evaluating the quantity and quality of cropland using multi-source remote sensing-derived data was proposed and effectively applied in the black soil region in Northeast China. Evaluation results showed that the area of cropland increased significantly in the study area between 2010 and 2018, and the proportion of cropland increased by 1.17%. Simultaneously, cropland patches became larger and landscape connectivity improved. Most of the gained cropland was concentrated in the northeast and west, resulting in a shift in the gravity center of cropland to the northeast direction. Among land converted into cropland, unused land, grassland, and forest were the main sources, accounting for 36.38%, 31.47%, and 16.94% respectively. The quality of cropland in the study area generally improved. The proportion of low-quality cropland decreased by 7.17%, while the proportions of high-quality and medium-quality cropland increased by 5.65% and 5.17%, respectively. Specifically, the quality of cropland improved strongly in the east, improved slightly in the southwest, and declined in the north. Production capacity and soil fertility were key factors impacting cropland quality with obstacle degrees of 36.22% and 15.64%, respectively. Overall, the obtained results were helpful for a comprehensive understanding of spatiotemporal changes in cropland and driving factors and can provide guidance for cropland protection and management. The proposed method demonstrated promising reliability and application potential, which can provide a reference for other cropland evaluation studies.

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Section: Indicator System For Cropland Quality Evaluationmentioning

confidence: 99%

Evaluation of Spatiotemporal Changes in Cropland Quantity and Quality with Multi-Source Remote Sensing

Liu,

Wang,

Sang

et al. 2023

Land

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“…Also, there is a complex interplay between climatic parameters and various biotic stressors, highlighting the multifaceted nature of oak decline and the need for targeted conservation efforts to mitigate its adverse effects 26 . Furthermore, Hernández-Lambraño et al 15 and Crocker et al 28 indicated the risk of oak decline is exceptionally high in mid and upper slopes, south-facing aspects with high solar radiation, and steep convex slope segments with a dry soil moisture regime.…”

Section: Introductionmentioning

confidence: 99%

Abiotic factors impact on oak forest decline in Lorestan Province, Western Iran

Mehri,

Alesheikh,

Lotfata

2024

Sci Rep

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The Zagros oak forests in Iran are facing a concerning decline due to prolonged and severe drought conditions over several decades, compounded by the simultaneous impact of temperature on oak populations. This study in oak woodlands of central Zagros forests in Lorestan province analyzed abiotic factors such as climate properties, topographic features, land use, and soil properties from 1958 to 2022. We found that higher elevation areas with steeper slopes and diverse topography show significant potential for enhancing oak tree resilience in the face of climate change. Additionally, traditional land use practices like livestock keeping and dryland farming contribute to a widespread decline in oak populations. Preserving forest biodiversity and ensuring ecological sustainability requires immediate attention. Implementing effective land-use management strategies, such as protecting and regulating human-forest interaction, and considering meteorological factors to address this issue is crucial. Collaborative efforts from stakeholders, policymakers, and local communities are essential to oppose destructive suburban sprawl and other developments. Sustainable forestry practices should be implemented to improve the living standards of local communities that rely on forests and traditional livestock keeping, offer forestry-related jobs, and ensure social security. Such efforts are necessary to promote conservation awareness and sustainable practices, safeguarding this unique and vital ecosystem for future generations.

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“…The availability of satellite images with a wide range of spatial resolutions has opened possibilities for implementing multiscale approaches in remote sensing forestry applications. These approaches are particularly valuable for detecting and discriminating various objects within complex natural scenes, such as the dynamic processes of forest disturbances (Marceau & Hay 1999, Crocker et al 2023. Moreover, the spectral signatures of satellite image bands offer valuable information for detecting, identifying, and classifying various forms of tree damage caused by biotic or abiotic factors (El Ahmadi et al 2023).…”

Section: Introductionmentioning

confidence: 99%

The use of remote sensing indices derived from Sentinel 2 satellite images for the defoliation damage assessment of Lymantria dispar

Buzatu,

Nețoiu,

Apostol

et al. 2023

AFR

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Monitoring and assessing the phytosanitary status of forests is a crucial activity in forest protection field, and the use of satellite remote sensing has become increasingly prevalent in this regard. Satellite images offer valuable information in terms of time and space, particularly through the analysis of vegetation and biophysical indices. Within this context, the aim of the study was to explore the potential of satellite remote sensing methods to monitor and assess the extent of tree defoliation caused by the gypsy moth (Lymantria dispar). The research study was focused on a forest situated in the Oltenia region of Romania, which experienced a gradation period for the defoliator L. dispar between 2018 and 2020. To determine the extent of defoliation caused by L. dispar in 2020 and 2021, a rectangular network consisting of 70 one-hectare sample areas was implemented. Each sample area had a square shape with a side of 100 m. In each corner of the sample areas, sub-sample circles with a radius of 12.62 meters were established, in which visual observations regarding the defoliation levels were conducted. The study involved a comparison between thematic maps derived from ground observations and those based on specific remote sensing indices derived through the processing of Sentinel 2 satellite images, of the Ciuturica forest area during the years 2020 and 2021. The research study indicated that the canopy water content (CWC) index was the most suitable for assessing defoliation caused by L. dispar. Furthermore, the study highlighted that remote sensing methods could be very effective and easily applicable, complementing the field ground-based efforts in monitoring and assessing the impact of L. dispar infestations.

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Integrating GIS, Remote Sensing, and Citizen Science to Map Oak Decline Risk across the Daniel Boone National Forest

Cited by 7 publications

References 43 publications

Evaluation of Spatiotemporal Changes in Cropland Quantity and Quality with Multi-Source Remote Sensing

Evaluation of Spatiotemporal Changes in Cropland Quantity and Quality with Multi-Source Remote Sensing

Abiotic factors impact on oak forest decline in Lorestan Province, Western Iran

The use of remote sensing indices derived from Sentinel 2 satellite images for the defoliation damage assessment of Lymantria dispar

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