1
|
Ding X, Jian S. Synergies and trade-offs of ecosystem services affected by land use structures of small watershed in the Loess Plateau. J Environ Manage 2024; 350:119589. [PMID: 38035502 DOI: 10.1016/j.jenvman.2023.119589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 10/10/2023] [Accepted: 11/09/2023] [Indexed: 12/02/2023]
Abstract
The Chinese government has implemented a series of ecological restoration projects in the Loess Plateau (LP), and the surface cover changed dramatically, impacting the ecosystem services (ESs) greatly. In this study, we used K-means clustering to classify the land use structures (LUSs) of the LP from 1990 to 2015 at the small watershed scale, and investigated the effects of LUS on water supply (WS), soil conservation (SC), and carbon sequestration (CS, expressed as NPP) with constraint lines. The values of WS and SC were obtained from the InVEST simulation, validated by the hydrographic station data. The results showed that the LUSs in LP were cropland structure (CLS, distinguished with CS), forest structure (FS), grassland structure (GS), crop-grassland structure (CGS), crop-forest-grassland structure (CFGS) and a very few areas of barren structure (BS). The proportion of dominant land use in those LUSs with a balance of WS, SC, and CS was 0.6-0.7 (cropland in CLS), 0.5 (forest in FS), 0.45/0.4 (cropland/grassland in CGS), 0.75 to 0.85 (grassland in GS), and 0.15/0.4/0.25 to 0.35 (cropland/forest/grassland in CFGS), respectively. The types of constraint curves of ESs for those LUSs involves hump-shaped curve, negative convex, half-concave-waved curve and concave-waved curve. This study proposed a method to objectively delineate LUS and improved the constraint line method to make it suitable for cases with less data, innovatively presenting the variation of ESs inside LUSs, which may provide a reference for optimal land planning and sustainable development of social-ecological systems.
Collapse
Affiliation(s)
- Xinming Ding
- Yellow River Laboratory, Zhengzhou University, Zhengzhou, 450001, China
| | - Shengqi Jian
- Yellow River Laboratory, Zhengzhou University, Zhengzhou, 450001, China.
| |
Collapse
|
2
|
Waddington K, Harrison A, Rayner D, Tucker T, Glamore W. Upscaling the remediation of acidic landscapes - the coastal floodplain prioritisation method. J Environ Manage 2023; 348:119260. [PMID: 37879173 DOI: 10.1016/j.jenvman.2023.119260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 09/22/2023] [Accepted: 10/03/2023] [Indexed: 10/27/2023]
Abstract
Over 24 million hectares of the world's coastal floodplains are underlain by acid sulfate soils (ASS). Drainage of these sediments has led to widespread environmental degradation, raising serious health concerns. To date, onsite rehabilitation has been complicated by differing stakeholder priorities, with resources often allocated to sites with more vocal proponents rather than those exposed to more significant environmental impacts. To address this issue, this paper introduces the Coastal Floodplain Prioritisation (CFP) Method; a novel, data driven and spatially explicit multi-criteria assessment that ranks floodplain catchment areas according to their risk of transferring acidic drainage waters to an estuary. Results can be used to prioritise where remediation actions are likely to have the greatest benefit. The method was applied across six different estuaries in south-east Australia, with major field campaigns undertaken at each site. Within each estuary, the largest acid fluxes and impacts are identified with relevant mitigation measures provided. On a catchment scale, the results reflect the broader hydrogeomorphic characteristics of each estuary, including the historic acid formation conditions and recent anthropogenic drainage activities. Low-lying backswamps were identified as the highest risk zones within each estuary. These areas are also the most vulnerable to sea level rise. Reinstatement of tidal inundation to these backswamps effectively remediates acid sulfate soil discharges and provides a nature-based solution for adaptation to sea level rise with a range of co-benefits to encourage further investment.
Collapse
Affiliation(s)
- K Waddington
- Water Research Laboratory, School of Civil and Environmental Engineering, UNSW Sydney, NSW, 2093, Australia
| | - A Harrison
- Water Research Laboratory, School of Civil and Environmental Engineering, UNSW Sydney, NSW, 2093, Australia
| | - D Rayner
- Water Research Laboratory, School of Civil and Environmental Engineering, UNSW Sydney, NSW, 2093, Australia
| | - T Tucker
- Water Research Laboratory, School of Civil and Environmental Engineering, UNSW Sydney, NSW, 2093, Australia
| | - W Glamore
- Water Research Laboratory, School of Civil and Environmental Engineering, UNSW Sydney, NSW, 2093, Australia.
| |
Collapse
|
3
|
Yan S, Ibrahim RB. Exploring the Factors That Influence Stakeholder Participation in Decision-Making for the Moat System Restoration Project in Tianchang City, China. ScientificWorldJournal 2023; 2023:9969589. [PMID: 38021481 PMCID: PMC10657249 DOI: 10.1155/2023/9969589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 09/27/2023] [Accepted: 10/18/2023] [Indexed: 12/01/2023] Open
Abstract
The driving factors have a critical effect on shaping stakeholder behavior toward participating in decision-making for river restoration initiatives. The participation of stakeholders is a vital determinant for increasing public confidence in the government and enhancing the acceptance of government decisions. Conversely, insufficient stakeholder participation in decision-making may lead to resistance to decisions on river restoration projects. Thus, the primary purpose of this investigation is to shed light on the complex interactions between the various drivers that underpin stakeholder participation in the context of the Moat System Restoration Project (MSRP). The extended Theory of Planned Behavior (TPB) describes the relationships between seven drivers that have positively influenced stakeholder participation behaviors: stakeholder attitude, priority, risk perception, trust in government decisions, motivation, intention, and knowledge. The empirical underpinning of this research was obtained through a questionnaire survey conducted in Tianchang, China, encompassing a sample size of 473. The empirical findings discern that stakeholder attitudes vis-à-vis the MSRP favorably influence stakeholder participation behaviors. Additionally, stakeholder motivation and intention have been discerned as catalysts for heightened stakeholder participation behavior. These findings promise to furnish invaluable insights, benefit forthcoming river restoration initiatives, and equip decision-makers with a profound understanding of strategies to enhance stakeholder participation.
Collapse
Affiliation(s)
- Shihua Yan
- Department of Landscape Architecture, Faculty of Design & Architecture, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
| | - Roziya Binti Ibrahim
- Department of Landscape Architecture, Faculty of Design & Architecture, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
| |
Collapse
|
4
|
Zani LHS, Lopes TR, Damaceno FM, Miranda YC, Kozak C, Tartari R. Identification of priority areas for water conservation in the Alto Iguaçu basin, Brazil. Integr Environ Assess Manag 2023. [PMID: 37749951 DOI: 10.1002/ieam.4844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 07/29/2023] [Accepted: 09/01/2023] [Indexed: 09/27/2023]
Abstract
Geoprocessing tools are great allies in the management of water resources, permitting the evaluation of several factors integrated into a multicriteria analysis. This improves the interpretation of the behavior of water and soil in hydrographic basins, allowing the delimitation of priority areas for actions. The objective of this study was to prepare a map of priority areas for water conservation in the Alto Iguaçu basin through a multicriteria analysis, aiming to assist in the management of water resources in the region. The priority map for water conservation was prepared using the weighted linear combination (WLC) method, considering the weight added to the factors that were obtained by the analytic hierarchy process (AHP) method. The method successfully identified priority areas for water conservation, where 40.7% of the Alto Iguaçu watershed was considered High priority and Very High priority, a number consistent with regional characteristics. The multicriteria analysis proved to be a flexible and easy to implement methodology, which can help managers when considering the trade-offs among several factors. The implementation of water conservation actions in areas that have been classified as being of High and Very High priority can benefit the regional ecosystem by controlling erosion, regulating the flow of water, and thus conserving the quantity and quality of water in the basin and its downstream region, benefiting the population and regional economics. Integr Environ Assess Manag 2023;00:1-12. © 2023 SETAC.
Collapse
Affiliation(s)
| | - Tárcio Rocha Lopes
- Department of Environment, State University of Maringá, Umuarama, Paraná, Brazil
| | | | - Yara Campos Miranda
- Department of Environment, State University of Maringá, Umuarama, Paraná, Brazil
| | - Caroline Kozak
- Department of Environment, State University of Maringá, Umuarama, Paraná, Brazil
| | - Rodrigo Tartari
- Department of Environment, State University of Maringá, Umuarama, Paraná, Brazil
| |
Collapse
|
5
|
Fiedler NC, Jesus RMMDE, Moreira FZ, Ramalho AHC, Santos ARD, Souza KBDE. Environmental vulnerability evolution in the Brazilian Amazon. AN ACAD BRAS CIENC 2023; 95:e20210333. [PMID: 37436199 DOI: 10.1590/0001-3765202320210333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 06/29/2021] [Indexed: 07/13/2023] Open
Abstract
Decision making and environmental policies are mainly based on propensity level to impact in the area. The propensity level can be determined through artificial intelligence techniques included in geotechnological universe. Thus, this study aimed to determine the areas of greatest vulnerability to human activities, in Amazon biome, through MODIS images of Land use and land cover (LULC) from the 2001 and 2013. Remote sensing, Euclidean distance, Fuzzy logic, AHP method and analysis of net variations were applied to specialize the classes of vulnerability in the states belonging to the Amazon Biome. From the results, it can be seen that the class that most evolved in a positive net gain during the evaluated period was "very high" and the one that most reduced was "high", showing that there was a transition from "high" to "very high" risk areas. The states with the largest areas under "very high" risk class were Mato Grosso (101,100.10 km2) and Pará (81,010.30 km2). It is concluded that the application of remote sensing techniques allows the determination and assessment of the environmental vulnerability evolution. Mitigation measures urgently need to be implemented in the Amazon biome. The methodology can be extended to any other area of the planet.
Collapse
Affiliation(s)
- Nilton C Fiedler
- Universidade Federal do Espírito Santo/UFES, Departamento de Ciências Florestais e da Madeira, Avenida Governador Lindemberg, 316, 29550-000 Jerônimo Monteiro, ES, Brazil
| | - Ricardo M M DE Jesus
- Universidade Federal do Espírito Santo/UFES, Departamento de Ciências Florestais e da Madeira, Avenida Governador Lindemberg, 316, 29550-000 Jerônimo Monteiro, ES, Brazil
| | - Felipe Z Moreira
- Universidade Federal do Espírito Santo/UFES, Departamento de Ciências Florestais e da Madeira, Avenida Governador Lindemberg, 316, 29550-000 Jerônimo Monteiro, ES, Brazil
| | - Antonio H C Ramalho
- Universidade Federal do Sul e Sudeste do Pará/UNIFESSPA, Instituto de Estudos do Xingu, Faculdade de Ciências Agrárias, Loteamento Cidade Nova, Lote n° 1, quadra 15, setor 15, Avenida Norte Sul, s/n, 68380-000 São Félix do Xingu, PA, Brazil
| | - Alexandre R Dos Santos
- Universidade Federal do Espírito Santo/UFES, Departamento de Engenharia Rural, Alto Universitário, s/n, 29500-000 Alegre, ES, Brazil
| | - Kaíse B DE Souza
- Universidade Federal do Espírito Santo/UFES, Departamento de Ciências Florestais e da Madeira, Avenida Governador Lindemberg, 316, 29550-000 Jerônimo Monteiro, ES, Brazil
| |
Collapse
|
6
|
Domingues GF, Hughes FM, Dos Santos AG, Carvalho AF, Calegario AT, Saiter FZ, Marcatti GE. Designing an optimized landscape restoration with spatially interdependent non-linear models. Sci Total Environ 2023; 873:162299. [PMID: 36801326 DOI: 10.1016/j.scitotenv.2023.162299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 02/03/2023] [Accepted: 02/13/2023] [Indexed: 06/18/2023]
Abstract
Brazilian Atlantic Forest is a biodiversity hotspot drastically fragmented due to different land use practices. Our understanding on the impacts of fragmentation and restoration practices on ecosystem functionality significantly increased during the last decades. However, it is unknown to our knowledge how a precision restoration approach, integrated with landscape metrics, will affect the decision-making process of forest restoration. Here, we applied Landscape Shape Index and Contagion metrics in a genetic algorithm for planning forest restoration in watersheds at the pixel level. We evaluated how such integration may configure the precision of restoration with scenarios related to landscape ecology metrics. The genetic algorithm worked toward optimizing the site, shape, and size of forest patches across the landscape according to the results obtained in applying the metrics. Our results, obtained by simulations of scenarios, support aggregation of forest restoration zones as expected, with priority restoration areas indicated where most of the aggregation of forest patches occurs. Our optimized solutions for the study area (Santa Maria do Rio Doce Watershed) predicted an important improvement of landscape metrics (LSI = 44 %; Contagion/LSI = 73 %). Largest shifts are suggested based on LSI (i.e., three larger fragments) and Contagion/LSI (i.e., only one well-connected fragment) optimizations. Our findings indicate that restoration in an extremely fragmented landscape will promote a shift toward more connected patches and with reduction of the surface:volume ratio. Our work explores the use of genetic algorithms to propose forest restoration based on landscape ecology metrics in a spatially explicit innovative approach. Our results indicate that LSI and Contagion:LSI ratio may affect the choice concerning precise location of restoration sites based on forest fragments scattered in the landscape and reinforce the usefulness of genetic algorithms to yield an optimized-driven solution for restoration initiatives.
Collapse
Affiliation(s)
- Getulio Fonseca Domingues
- Instituto Nacional da Mata Atlântica (INMA), Santa Teresa, Espírito Santo, Brazil; Universidade Federal do Rio Grande do Norte (UFRN), Escola Agrícola de Jundiaí, Macaíba, Rio Grande do Norte, Brazil
| | - Frederic Mendes Hughes
- Instituto Nacional da Mata Atlântica (INMA), Santa Teresa, Espírito Santo, Brazil; Universidade Federal de Minas Gerais (UFMG), Programa de Pós-graduação em Bioinformática, Belo Horizonte, Minas Gerais (MG), Brazil; Universidade Estadual de Santa Cruz (UESC), Conselho de Curadores das Coleções Científicas, Ilhéus, Bahia, Brazil; Universidade Estadual de Feira de Santana (UEFS), Departamento de Ciências Biológicas, Bahia, Brazil.
| | | | - Antônio F Carvalho
- Instituto Nacional da Mata Atlântica (INMA), Santa Teresa, Espírito Santo, Brazil; Wildlife Conservation Society (WCS), Global Conservation Program, Manaus, Amazonas, Brazil
| | | | | | - Gustavo Eduardo Marcatti
- Universidade Federal de São João del-Rei (UFSJ), Departamento de Engenharia Florestal, Campus Sete Lagoas, MG, Brazil
| |
Collapse
|
7
|
de Mendonça GC, da Costa LM, Abdo MTVN, Costa RCA, Parras R, de Oliveira LCM, Pissarra TCT, Pacheco FAL. Multicriteria spatial model to prioritize degraded areas for landscape restoration through agroforestry. MethodsX 2023; 10:102052. [PMID: 36911210 PMCID: PMC9995468 DOI: 10.1016/j.mex.2023.102052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 02/01/2023] [Indexed: 02/12/2023] Open
Abstract
Reconciling the restoration of ecosystem services within agricultural landscapes is an effort that has been advancing within degraded areas restoration through agroforestry systems. However, to contribute to the effectiveness of these initiatives, it is essential to integrate landscape vulnerability and local demands to better highlight in which areas the implementation of agroforestry systems should be prioritized. Thus, we developed a spatial hierarchization methodology as a decision support tool as an active strategy for agroecosystem restoration. The proposed method constitutes a spatial indicator of priority areas to guide agroforestry interventions, including resource allocation and public policies for payment for environmental services. The methodology consists of Multicriteria Decision Analysis implemented in GIS software by combining input datasets based on biophysical conditions, environmental and socioeconomic aspects, that integrated promotes an assessment of the environment fragility, the pressures and responses to land use dynamic; a strategy for landscape restoration and conservation of the natural habitats, and multiple specific scenarios for decision making regarding the agricultural and the local actors demands. The output of the model provides the spatial distribution of areas suitable for the implementation of agroforestry systems, sorted into four priority levels (Low, Medium, High, and Extreme priority). The method is a promising tool proposal for territorial management and governance and subsidizes future research on the flows of ecosystem services.•Assessment of the environment fragility and the pressures and responses to land use dynamic.•Strategy for landscape restoration and conservation of remaining natural habitats.•Multiple specific scenarios for decision making regarding the agricultural and the local actors demands.
Collapse
Affiliation(s)
- Gislaine Costa de Mendonça
- Faculty of Agrarian and Veterinary Sciences, Access Way Prof. Paulo Donato Castellane, s/n, UNESP/FCAV - São Paulo State University, Jaboticabal, SP 14884-900, Brazil.,POLUS-Land Use Policy Group, Access Way Prof. Paulo Donato Castellane, s/n, Paulista State University (UNESP), Jaboticabal, SP 14884-900, Brazil
| | - Luis Miguel da Costa
- Faculty of Agrarian and Veterinary Sciences, Access Way Prof. Paulo Donato Castellane, s/n, UNESP/FCAV - São Paulo State University, Jaboticabal, SP 14884-900, Brazil
| | - Maria Teresa Vilela Nogueira Abdo
- Pindorama Pole, Washington Luis Highway, Km 371, s/n, APTA - São Paulo Agency of Agribusiness Technology, Pindorama, SP 15830-000, Brazil.,POLUS-Land Use Policy Group, Access Way Prof. Paulo Donato Castellane, s/n, Paulista State University (UNESP), Jaboticabal, SP 14884-900, Brazil
| | - Renata Cristina Araújo Costa
- Guarulhos University (UNG), Praça Tereza Cristina, 239, Guarulhos, SP 07023-070, Brazil.,POLUS-Land Use Policy Group, Access Way Prof. Paulo Donato Castellane, s/n, Paulista State University (UNESP), Jaboticabal, SP 14884-900, Brazil
| | - Rafael Parras
- Faculty of Agrarian and Veterinary Sciences, Access Way Prof. Paulo Donato Castellane, s/n, UNESP/FCAV - São Paulo State University, Jaboticabal, SP 14884-900, Brazil.,POLUS-Land Use Policy Group, Access Way Prof. Paulo Donato Castellane, s/n, Paulista State University (UNESP), Jaboticabal, SP 14884-900, Brazil
| | - Laís Caroline Marianno de Oliveira
- Faculty of Agrarian and Veterinary Sciences, Access Way Prof. Paulo Donato Castellane, s/n, UNESP/FCAV - São Paulo State University, Jaboticabal, SP 14884-900, Brazil.,POLUS-Land Use Policy Group, Access Way Prof. Paulo Donato Castellane, s/n, Paulista State University (UNESP), Jaboticabal, SP 14884-900, Brazil
| | - Teresa Cristina Tarlé Pissarra
- Faculty of Agrarian and Veterinary Sciences, Access Way Prof. Paulo Donato Castellane, s/n, UNESP/FCAV - São Paulo State University, Jaboticabal, SP 14884-900, Brazil.,POLUS-Land Use Policy Group, Access Way Prof. Paulo Donato Castellane, s/n, Paulista State University (UNESP), Jaboticabal, SP 14884-900, Brazil
| | - Fernando António Leal Pacheco
- Faculty of Agrarian and Veterinary Sciences, Access Way Prof. Paulo Donato Castellane, s/n, UNESP/FCAV - São Paulo State University, Jaboticabal, SP 14884-900, Brazil.,CQVR-Chemistry Center of Vila Real, University of Trás-os-Montes and Alto Douro, Ap. 1013, Vila Real 5001-801, Portugal.,POLUS-Land Use Policy Group, Access Way Prof. Paulo Donato Castellane, s/n, Paulista State University (UNESP), Jaboticabal, SP 14884-900, Brazil
| |
Collapse
|
8
|
da Silva Anjinho P, Takaku LYRB, Barbosa CC, Periotto NA, Hanai FY, Mauad FF. Analysis of Susceptibility to Degradation of Water Ecosystem Services as a Tool for Land Use Planning: a Case Study in a Small Brazilian Watershed. Environ Manage 2022; 70:990-1003. [PMID: 36056212 DOI: 10.1007/s00267-022-01710-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 08/21/2022] [Indexed: 06/15/2023]
Abstract
Mapping priority areas for environmental conservation and restoration is essential to informing policy formulation and decision-making. This study proposes a methodology based on multicriteria analysis and on-site assessment to develop environmental zoning that enhances the provision of water ecosystem services (WES) from Brazil's Água Quente River Basin. Integrated analysis of multiple criteria enabled identification of degrees of susceptibility to degradation, assessment of effects of land-use changes between 1990 and 2020, and validation of the study's methodology via field protocol. The results indicated that the spatial and temporal patterns of WES susceptibility to degradation varied little within the study area with the most critical levels occurring primarily in the Agua Quente's floodplain, where there are sandy textured soils and coverage with a low degree of soil protection. Zoning analysis designates 40% of the basin`s area as consolidated use, 28% for environmental conservation, 19% as anthropic use, and 13% for environmental restoration. Field analysis indicates that the occurrence of degraded areas and pollution by solid waste and urban effluents are relevant factors that affect the basin's water resources. Linear regression analysis indicated a good fit between the data modeled by the multicriteria analysis and those observed on-site (R² = 0.6 p < 0.05). The study's method is effective and its structure can be used in other river basins, as its approach is simple and flexible and can be readily adjusted to fit the characteristics of the study site.
Collapse
Affiliation(s)
- Phelipe da Silva Anjinho
- University of São Paulo, Center of Water Resources and Environmental Studies, São Carlos, SP, Brazil.
| | | | | | | | - Frederico Yuri Hanai
- Federal University of Sao Carlos, Environmental Sciences Department, São Carlos, SP, Brazil
| | - Frederico Fábio Mauad
- University of São Paulo, Center of Water Resources and Environmental Studies, São Carlos, SP, Brazil
| |
Collapse
|
9
|
de Mendonça GC, Costa RCA, Parras R, de Oliveira LCM, Abdo MTVN, Pacheco FAL, Pissarra TCT. Spatial indicator of priority areas for the implementation of agroforestry systems: An optimization strategy for agricultural landscapes restoration. Sci Total Environ 2022; 839:156185. [PMID: 35618113 DOI: 10.1016/j.scitotenv.2022.156185] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 05/19/2022] [Accepted: 05/19/2022] [Indexed: 06/15/2023]
Abstract
The ecological functions restoration in agricultural areas is a major challenge on a landscape scale. In the specific case of active restoration through Agroforestry Systems (AFS), the absence of a specific direction hinders ecological restoration processes, especially in regions that prefer intensive agriculture. Thus, this study aims to develop a Spatial Indicator of Priority Areas to guide Agroforestry Systems implementation in agricultural landscapes. A spatial multicriteria decision analysis (MDCA) was carried out based on environmental factors: soil, geology and slope (which determine the natural vulnerability of the land) and anthropogenic factors: land use and land cover, forest fragments, potential land use capacity and legal protected areas in rural properties (which reflects human pressure and land use suitability). Subsequently, four priority levels were classified for agroforestry interventions: (1) Low priority; (2) Average priority; (3) High priority; (4) Extreme priority. A final map was made to identify priority areas for landscape recovery in 9 cities located at the mouth of the Mogi Guaçu River Hydrographic Basin, State of São Paulo, Brazil. Considering the natural vulnerability of the land and the multifunctional aspects of the landscape, the scenarios projection allowed a consensus for forest conservation and agricultural suitability perspectives. A final combination of the explored aspects culminated in the spatial indicator, which model foresees 22,300 ha available for urgent actions for restoration, reforestation and sustainable exploitation through agroforestry systems. We emphasize the challenges in reconciling the socioeconomic and ecological functions in the agroecosystem, however, the metric provides a more inclusive and assertive management strategy for natural resources and advances towards the goal of reforestation and implementation of payment for environmental services (PES) schemes.
Collapse
Affiliation(s)
- Gislaine Costa de Mendonça
- UNESP/FCAV - São Paulo State University, Faculty of Agrarian and Veterinary Sciences, Access Way Prof. Paulo Donato Castellane, s/n, Jaboticabal, SP 14884-900, Brazil; POLUS-Land Use Policy Group, Paulista State University (UNESP), Access Way Prof. Paulo Donato Castellane, s/n, Jaboticabal, SP 14884-900, Brazil.
| | - Renata Cristina Araújo Costa
- Guarulhos University (UNG), Praça Tereza Cristina, 239, 07023-070 Guarulhos, SP, Brazil; POLUS-Land Use Policy Group, Paulista State University (UNESP), Access Way Prof. Paulo Donato Castellane, s/n, Jaboticabal, SP 14884-900, Brazil
| | - Rafael Parras
- UNESP/FCAV - São Paulo State University, Faculty of Agrarian and Veterinary Sciences, Access Way Prof. Paulo Donato Castellane, s/n, Jaboticabal, SP 14884-900, Brazil; POLUS-Land Use Policy Group, Paulista State University (UNESP), Access Way Prof. Paulo Donato Castellane, s/n, Jaboticabal, SP 14884-900, Brazil
| | - Laís Caroline Marianno de Oliveira
- UNESP/FCAV - São Paulo State University, Faculty of Agrarian and Veterinary Sciences, Access Way Prof. Paulo Donato Castellane, s/n, Jaboticabal, SP 14884-900, Brazil; POLUS-Land Use Policy Group, Paulista State University (UNESP), Access Way Prof. Paulo Donato Castellane, s/n, Jaboticabal, SP 14884-900, Brazil
| | - Maria Teresa Vilela Nogueira Abdo
- APTA - São Paulo Agency of Agribusiness Technology, Pindorama Pole, Washington Luis Highway, Km 371, s/n, Pindorama, SP 15830-000, Brazil; POLUS-Land Use Policy Group, Paulista State University (UNESP), Access Way Prof. Paulo Donato Castellane, s/n, Jaboticabal, SP 14884-900, Brazil
| | - Fernando António Leal Pacheco
- CQVR-Chemistry Center of Vila Real, University of Trás-os-Montes and Alto Douro, Ap. 1013, 5001-801 Vila Real, Portugal; POLUS-Land Use Policy Group, Paulista State University (UNESP), Access Way Prof. Paulo Donato Castellane, s/n, Jaboticabal, SP 14884-900, Brazil
| | - Teresa Cristina Tarlé Pissarra
- UNESP/FCAV - São Paulo State University, Faculty of Agrarian and Veterinary Sciences, Access Way Prof. Paulo Donato Castellane, s/n, Jaboticabal, SP 14884-900, Brazil; POLUS-Land Use Policy Group, Paulista State University (UNESP), Access Way Prof. Paulo Donato Castellane, s/n, Jaboticabal, SP 14884-900, Brazil
| |
Collapse
|
10
|
Gärtner N, Lindhe A, Wahtra J, Söderqvist T, Lång L, Nordzell H, Norrman J, Rosén L. Integrating Ecosystem Services into Risk Assessments for Drinking Water Protection. Water 2022; 14:1180. [DOI: 10.3390/w14081180] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Water protection is a widely supported goal in society, but competing interests often complicate the implementation of water protection measures. Moreover, the benefits of protection efforts are typically underestimated as risk assessments focus on the provision of drinking water and neglect the additional services provided by a clean drinking water source. We developed a list of water system services (WSS) that allows assessment of all biotic and abiotic services provided by a drinking water source. The WSS were derived from the Common International Classification of Ecosystem Services (CICES). The objectives of this paper are to (i) introduce the concept of WSS, (ii) describe a procedure on how to develop a region-specific list of WSS and present a list of WSS specifically tailored to Sweden, (iii) present how to integrate WSS into a risk assessment for drinking water, and (iv) illustrate a practical application on a Swedish case study. The results, presented as an assessment matrix, show the provided services and contrast the hazard sources with their impact on all services. The WSS assessment can be used to communicate and negotiate the extent of water protection measures with relevant stakeholders and illustrate synergies and trade-offs of protective measures beyond drinking water protection.
Collapse
|