Mapping Perceived Social Values to Support a Respondent-Defined Restoration Economy: Case Study in Southeastern Arizona, USA

Petrakis, Roy E.; Norman, Laura M.; Lysaght, Oliver; Sherrouse, Benson C.; Semmens, Darius J.; Bagstad, Kenneth J.; Pritzlaff, Richard

doi:10.1177/1178622120913318

Cited by 16 publications

(13 citation statements)

References 72 publications

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“…In water-limited ecosystems, vegetation restoration is one of the options to prevent land degradation and soil erosion (Yu et al, 2016;Shi et al, 2019a). Ongoing vegetation restoration and climate change processes are having a far-reaching effect on soil carbon stocks, which creates an imbalance in carbon input/output ratios and results frequently in net releases back into the atmosphere (Haigh et al, 2019;Petrakis et al, 2020;van der Bank and Karsten, 2020). SOC is the most susceptible to changes in site conditions and is therefore the target of most evaluations (García-Díaz et al, 2016;Yeasmin et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Vegetation Restoration Alleviated the Soil Surface Organic Carbon Redistribution in the Hillslope Scale on the Loess Plateau, China

Liang

Zha

et al. 2021

Front. Environ. Sci.

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The redistribution of soil organic carbon (SOC) in response to soil erosion along the loess slope, China, plays an important role in understanding the mechanisms that underlie SOC’s spatial distribution and turnover. Consequently, SOC redistribution is key to understanding the global carbon cycle. Vegetation restoration has been identified as an effective method to alleviate soil erosion on the Loess Plateau; however, little research has addressed vegetation restoration’s effect on the SOC redistribution processes, particularly SOC’s spatial distribution and stability. This study quantified the SOC stock and pool distribution on slopes along geomorphic gradients in naturally regenerating forests (NF) and an artificial black locust plantation (BP) and used a corn field as a control (CK). The following results were obtained: 1) vegetation restoration, particularly NF, slowed the migration of SOC and reduced the heterogeneity of its distribution effectively. The topsoil SOC ratios of the sedimentary area to the stable area were 109%, 143%, and 210% for NF, BP, and CK, respectively; 2) during migration, vegetation restoration decreased the loss of labile organic carbon by alleviating the loss of dissolved organic carbon (DOC) and easily oxidized organic carbon (EOC). The DOC/SOC in the BP and NF increased significantly and was 13.14 and 17.57 times higher, respectively, than that in the CK (p < 0.05), while the EOC/SOC in the BP and NF was slightly higher than that in the CK. A relevant schematic diagram of SOC cycle patterns and redistribution along the loess slope was drawn under vegetation restoration. The results suggest that vegetation restoration in the loess slope, NF in particular, is an effective means to alleviate the redistribution and spatial heterogeneity of SOC and reduce soil erosion.

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Section: Introductionmentioning

confidence: 99%

Vegetation Restoration Alleviated the Soil Surface Organic Carbon Redistribution in the Hillslope Scale on the Loess Plateau, China

Liang

Zha

et al. 2021

Front. Environ. Sci.

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“…Grazing activities are important socio‐economic activities in many regions (Macleod & Johnston, 1990; Heitschmidt, Vermeire, & Grings, 2004; Maczko, Bryant, Thompson, & Borchard, 2004). Therefore, the degradation of range can have severe consequences on people and nature (Cousins, 1999; Petrakis et al, 2020; Sala et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Assessment of land degradation using machine‐learning techniques: A case of declining rangelands

et al. 2020

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Increased use and increasing demands pose serious threats to rangelands. In this study, we document a pronounced downward trend in rangeland quality in the Alborz Mountains in Firozkuh County, Iran using analysis of three machine‐learning models (MLMs). A total of 1,147 transects were established to evaluate the rangeland quality trends from field data collected over a 7‐year period. Twelve independent conditional factors were analyzed for their relationships to range quality through three MLMs—Random Forest (RF), classification and regression tree (CART), and support vector machine (SVM). Based on assessments of the trained and validated models, RF, with a ROC‐AUC = 0.96, was determined to be the most robust. The results show that about 20% of the rangeland in the study area is in a critically degraded condition. Distances from roads and livestock density are the two factors most strongly linked to degradation. These results, in combination with field observations, indicate that the rangelands of the study area face two major challenges (overgrazing and early grazing) that require new strategies to mitigate and prevent damages. This study may provide important guidance for evaluating rangeland conditions in other regions of the world.

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“…81 Social surveys indicate that people value the stream networks in their watershed and advocate for restoration. 84 Finally, studies have demonstrated that watershed models can be used for predictive-framework and decision-support. 25,69,70,76,80,87 These advances in restoration science, with science-based evidence that dispels prior assumptions, are being acknowledged by partner agencies who can revise management strategies 53,88 to help bridge the disconnect between restoration practice and the value of surface-water availability.…”

Section: Resultsmentioning

confidence: 99%

“…Resulting maps indicated that citizen perception of benefits from the natural environment in this area focused on streams and the life-sustaining services, biological diversity, and aesthetics the watershed offers. 84 This research helped to highlight the perceived values of surface water in arid and semiarid lands. A similar effort is being developed at Ambos Nogales, United States-Mexico, to compare community preferences internationally.…”

Section: Usgs Aridland Water Harvesting Studymentioning

confidence: 99%

Ecosystem Services of Riparian Restoration: A Review of Rock Detention Structures in the Madrean Archipelago Ecoregion

Norman

2020

Air, Soil and Water Research

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In northwestern Mexico and the southwestern United States, limited water supplies and fragile landscapes jeopardize world-renowned biological diversity. Simple rock detention structures have been used to manage agricultural water for over a thousand years and are now being installed to restore ecohydrological functionality but with little scientific evidence of their success. The impacts, design, and construction of such structures has been debated among local restoration practitioners, management, and permitting agencies. This article presents archeological documentation, local contentions, and examples of available research assessments of rock detention structures in the Madrean Archipelago Ecoregion. A US Geological Survey study to quantify impacts of rock detention structures using remote-sensing analyses, hydrologic monitoring, vegetation surveys, and watershed modeling is discussed, and results rendered in terms of the critical restoration ecosystem services provided. This framework provides a means for comparing management actions that might directly or indirectly impact human populations and assessing tradeoffs between them.

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Mapping Perceived Social Values to Support a Respondent-Defined Restoration Economy: Case Study in Southeastern Arizona, USA

Cited by 16 publications

References 72 publications

Vegetation Restoration Alleviated the Soil Surface Organic Carbon Redistribution in the Hillslope Scale on the Loess Plateau, China

Vegetation Restoration Alleviated the Soil Surface Organic Carbon Redistribution in the Hillslope Scale on the Loess Plateau, China

Assessment of land degradation using machine‐learning techniques: A case of declining rangelands

Ecosystem Services of Riparian Restoration: A Review of Rock Detention Structures in the Madrean Archipelago Ecoregion

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