Climatic limiting factors of North American ecosystems: a remote-sensing based vulnerability analysis

Sang, Zihaohan; Hamann, Andreas

doi:10.1088/1748-9326/ac8608

Cited by 6 publications

(3 citation statements)

References 46 publications

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“…Additionally, there is an increasing trend in studying eucalypts in Australia, as some of these species, despite being considered drought-tolerant, are facing water availability limits in their natural habitats. In particular, advancements in satellite remote sensing technology have enabled studies to be conducted over vast territories that span multiple continents and encompass diverse forest ecosystems [120][121][122][123]. Figure 5 shows the number of research subjects by forest type.…”

Section: Overall Trend Of Remote Sensing Applications For Forest Wate...mentioning

confidence: 99%

Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests

Harper

Dell

2023

Remote Sensing

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In the context of climate change, the occurrence of water stress in forest ecosystems, which are solely dependent on precipitation, has exhibited a rising trend, even among species that are typically regarded as drought-tolerant. Remote sensing techniques offer an efficient, comprehensive, and timely approach for monitoring forests at local and regional scales. These techniques also enable the development of diverse indicators of plant water status, which can play a critical role in evaluating forest water stress. This review aims to provide an overview of remote sensing applications for monitoring water stress in forests and reveal the potential of remote sensing and geographic information system applications in monitoring water stress for effective forest resource management. It examines the principles and significance of utilizing remote sensing technologies to detect forest stress caused by water deficit. In addition, by a quantitative assessment of remote sensing applications of studies in refereed publications, the review highlights the overall trends and the value of the widely used approach of utilizing visible and near-infrared reflectance data from satellite imagery, in conjunction with classical vegetation indices. Promising areas for future research include the utilization of more adaptable platforms and higher-resolution spectral data, the development of novel remote sensing indices with enhanced sensitivity to forest water stress, and the implementation of modelling techniques for early detection and prediction of stress.

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Section: Overall Trend Of Remote Sensing Applications For Forest Wate...mentioning

confidence: 99%

Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests

Harper

Dell

2023

Remote Sensing

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“…The extent of the area showing sensitivity to atmospheric drought is much larger than some modelling studies and satellite imagery analysis had suggested 15 , 52 , 53 . Such a broad extent likely reflects the multiple mechanisms linking growth to atmospheric dryness, both directly through stomatal conductance reducing growth or indirectly through lower soil moisture levels 20 , 21 , 24 , 26 , 29 , 54 .…”

Section: Discussionmentioning

confidence: 80%

Increasing atmospheric dryness reduces boreal forest tree growth

Mirabel,

Girardin,

Metsaranta

et al. 2023

Nat Commun

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Rising atmospheric vapour pressure deficit (VPD) associated with climate change affects boreal forest growth via stomatal closure and soil dryness. However, the relationship between VPD and forest growth depends on the climatic context. Here we assess Canadian boreal forest responses to VPD changes from 1951-2018 using a well-replicated tree-growth increment network with approximately 5,000 species-site combinations. Of the 3,559 successful growth models, we observed a relationship between growth and concurrent summer VPD in one-third of the species-site combinations, and between growth and prior summer VPD in almost half of those combinations. The relationship between previous year VPD and current year growth was almost exclusively negative, while current year VPD also tended to reduce growth. Tree species, age, annual temperature, and soil moisture primarily determined tree VPD responses. Younger trees and species like white spruce and Douglas fir exhibited higher VPD sensitivity, as did areas with high annual temperature and low soil moisture. Since 1951, summer VPD increases in Canada have paralleled tree growth decreases, particularly in spruce species. Accelerating atmospheric dryness in the decades ahead will impair carbon storage and societal-economic services.

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“…Given the variability we observed in climatic suitability across Cassin's Sparrow's range, along with the disparities noted between suitability-and abundance-derived perspectives of this species' status, an updated, state-by-state look at the species' distribution and conservation status is needed in order to better understand regional vulnerabilities and patterns of change. Such an exercise would also be an opportunity to examine the potential of deriving a useful climate change risk metric from retrospective ENM trends that could improve species vulnerability assessments across taxa [7,[192][193][194][195].…”

Section: Discussionmentioning

confidence: 99%

MERRA-based trend analysis identifies complex, multidecadal patterns of changing climatic suitability for Cassin’s Sparrow (Peucaea cassinii)

Schnase,

Carroll,

Montesano

et al. 2023

Preprint

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Cassin's Sparrow (Peucaea cassinii) is a grassland resident of the American Southwest. Despite decades of study, there remains uncertainty regarding the conservation status of the species. The species' past response to a changing climate may help explain this uncertainty, especially if patterns vary across the species' range. In this study, we combine data from NASA's Modern-Era Reanalysis for Research and Applications, Version 2 (MERRA-2; M2) with field observations spanning the past 40 years to examine historical changes in climatic suitability for Cassin's Sparrow across its full annual range within the continental United States. We examine two time- and variable-specific time series using MaxEnt. The M2 times series uses a mix of 30 microclimatic variables and ecosystem functional attributes related to energy and water fluxes for predictors; the MERRAclim (MC) time series uses 19 MERRA-2-derived bioclimatic variables for predictors. Trend analysis reveals complex patterns of slowly increasing climatic suitability over 69.5% of the study area in the MC time series accompanied by decreases over 24.4% of the area. Shifts in the study area-wide, weighted centroid for climatic suitability show a northwesterly, 40-year displacement of 1.85 km/yr. The M2 time series points to a less favorable history with increasing and decreasing trends over 54.9% and 40.1% of the study area, respectively, and a westerly weighted centroid shift of 2.60 km/yr. A clear subset of seven M2 and MC variables emerged as the most important determinants of suitability over the past 40 years. These variables also demonstrated complex patterns of non-constant trends across the study area. Suitability trends in both time series appear to have little in common with current, state-level, abundance-derived conservation status assessments. Increasing winds, drying land surface conditions, and variability in North American Monsoon rainfall appear to be dominating, climate-related influences on the species. We thus see complex patterns of historical change in climatic suitability depending on whether time series models are driven by bioclimatic variables alone or by variables more aligned with ecological function. This leads us to conclude that modeled estimates of climatic suitability for Cassin's Sparrow can vary widely depending on the temporal frame, spatial extent, and environmental drivers considered, and that this variability mirrors the uncertainty in the literature regarding the species' conservation status. Furthermore, these factors should be taken into account in future conservation assessments for the species, and retrospective ecological niche modeling, as applied here, offers a promising approach to addressing these issues.

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Climatic limiting factors of North American ecosystems: a remote-sensing based vulnerability analysis

Cited by 6 publications

References 46 publications

Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests

Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests

Increasing atmospheric dryness reduces boreal forest tree growth

MERRA-based trend analysis identifies complex, multidecadal patterns of changing climatic suitability for Cassin’s Sparrow (Peucaea cassinii)

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