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Kalinauskas M, Shuhani Y, Pinto LV, Inácio M, Pereira P. Mapping ecosystem services in protected areas. A systematic review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169248. [PMID: 38101645 DOI: 10.1016/j.scitotenv.2023.169248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 12/07/2023] [Accepted: 12/07/2023] [Indexed: 12/17/2023]
Abstract
Protected areas (PAs) supply ecosystem services (ES) essential for human wellbeing. Mapping is a critical exercise that allows an understanding of the spatial distribution of the different ES in PAs. This work aims to conduct a systematic literature review on mapping ES in PAs. In order to carry out this systematic review, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method was applied. The results showed an increase in the number of works between 2012 and 2023, and they were especially conducted in Europe and Asia and less in North America, South America, and Oceania. Most studies were developed in terrestrial areas, and the International Union for Conservation of Nature classified them into types II and IV. Most of the works followed the Millennium Ecosystem Assessment classification and were mainly focused on the supply dimension. Regulating and maintenance and cultural ES were the most mapped dimensions in PAs. The most frequent provisioning ES mapped in PAs were Animals reared for nutritional purposes and Cultivated terrestrial plants grown for nutritional purposes. In regulating and maintenance, Maintaining nursery populations and habitats and Regulation of the chemical composition of the atmosphere and oceans were the most analysed. For cultural ES, Characteristics of living systems that enable activities promoting health, recuperation, or enjoyment through active or immersive interactions and Characteristics of living systems that enable aesthetic experiences were the most mapped ES in PAs. Most works followed a quantitative approach, although the number of qualitative studies is high. Finally, most of the works needed to be validated, which may hamper the credibility of mapping ES in PAs. Overall, this systematic review contributed to a global picture of studies distribution, the areas where they are needed, and the most popular dimensions and sections as the methodologies were applied.
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Affiliation(s)
- Marius Kalinauskas
- Environmental Management Laboratory, Mykolas Romeris University, Vilnius, Lithuania
| | - Yuliana Shuhani
- Environmental Management Laboratory, Mykolas Romeris University, Vilnius, Lithuania
| | - Luís Valença Pinto
- Environmental Management Laboratory, Mykolas Romeris University, Vilnius, Lithuania; Research Centre for Natural Resources, Environment and Society (CERNAS), Polytechnic Institute of Coimbra, Coimbra Agrarian Technical School, Coimbra, Portugal
| | - Miguel Inácio
- Environmental Management Laboratory, Mykolas Romeris University, Vilnius, Lithuania
| | - Paulo Pereira
- Environmental Management Laboratory, Mykolas Romeris University, Vilnius, Lithuania.
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Oliveira BF, Moore FC, Dong X. Biodiversity mediates ecosystem sensitivity to climate variability. Commun Biol 2022; 5:628. [PMID: 35761028 PMCID: PMC9237054 DOI: 10.1038/s42003-022-03573-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 06/10/2022] [Indexed: 11/21/2022] Open
Abstract
A rich body of evidence from local-scale experiments and observational studies has revealed stabilizing effects of biodiversity on ecosystem functioning. However, whether these effects emerge across entire regions and continents remains largely overlooked. Here we combine data on the distribution of more than 57,500 plant species and remote-sensing observations throughout the entire Western Hemisphere to investigate the role of multiple facets of plant diversity (species richness, phylogenetic diversity, and functional diversity) in mediating the sensitivity of ecosystems to climate variability at the regional-scale over the past 20 years. We show that, across multiple biomes, regions of greater plant diversity exhibit lower sensitivity (more stable over time) to temperature variability at the interannual and seasonal-scales. While these areas can display lower sensitivity to interannual variability in precipitation, they emerge as highly sensitive to precipitation seasonality. Conserving landscapes of greater diversity may help stabilize ecosystem functioning under climate change, possibly securing the continuous provisions of productivity-related ecosystem service to people. With the help of spatial autoregressive models, the relationship between multiple facets of plant biodiversity and ecosystem sensitivity to climate variability is explored on a landscape-scale.
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Affiliation(s)
- Brunno F Oliveira
- Environmental Science and Policy Department, University of California Davis, Davis, CA, USA. .,Centre for the Synthesis and Analysis of Biodiversity (CESAB), FRB, Montpellier, France.
| | - Frances C Moore
- Environmental Science and Policy Department, University of California Davis, Davis, CA, USA
| | - Xiaoli Dong
- Environmental Science and Policy Department, University of California Davis, Davis, CA, USA
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Evaluation of InVEST’s Water Ecosystem Service Models in a Brazilian Subtropical Basin. WATER 2022. [DOI: 10.3390/w14101559] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The biophysical modeling of water ecosystem services is crucial to understanding their availability, vulnerabilities, and fluxes. Among the most popular models, the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) models stand out. While many studies have used them, few have assessed their performance. This study evaluates the performance of InVEST’s Seasonal Water Yield, Nutrient Delivery Ratio, and Sediment Delivery Ratio models in a subtropical basin in southeastern Brazil on temporal and spatial scales, using 39 years of streamflow data, 29 for total phosphorus and total nitrogen, and 19 for total suspended solids. Statistical indicators R2, PBIAS, and NSE, were also calculated. The performance of the models varied according to the type of simulated WES and analysis scales used, with the Seasonal Water Yield model demonstrating the best performance and effectively representing the spatial and temporal variability of the average annual streamflow. All models performed well in simulating long-term mean values when compared to observed data. While one should bear in mind the study’s limitations, the results indicate that the models perform well in terms of relative magnitude, although their application in studies involving water-resource management and decision making is limited.
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Integrating Ecosystem Services into Planning Practice: Situation, Challenges and Inspirations. LAND 2022. [DOI: 10.3390/land11040545] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Ecosystem services (ES)-related decision-making is important to promote sustainable conservation and urban development. However, there is limited information regarding the use of ES research in a planning context. We explored this gap between ES research and planning practice by evaluating whether and to what extent the ES concept is explicitly used in planning and decision-making processes. This paper selected 101 pieces of target literature, reviewed their research status and characteristics, discussed the motivation and interests, and summarized the research content. In particular, we discussed the contributions that demonstrated the significance of incorporating ES into planning and achieved beneficial results. A series of abstract strategic methods and quantitative methodological approaches were used for subsequent reference research. The ES concept existed earlier than the perception in early-stage planning documents, while its practical application was superficial, with insufficient depth, which was a challenge worthy of attention. To identify the research paradigm in previous planning related to ES, we found that ES analyses for planning were largely theory-inspired, rather than practice-inspired, and used the Schön–Stokes model of the wicked and tame to theorize problems in socio-ecological systems. Our study highlighted that Pasteur’s paradigm may be an essential and useful research style for maintaining and improving ES in socio-ecological practice.
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Antongiovanni M, Venticinque EM, Tambosi LR, Matsumoto M, Metzger JP, Fonseca CR. Restoration priorities for Caatinga dry forests: Landscape resilience, connectivity and biodiversity value. J Appl Ecol 2022. [DOI: 10.1111/1365-2664.14131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Marina Antongiovanni
- Departamento de Ecologia Universidade Federal do Rio Grande do Norte Natal Brazil
| | | | - Leandro R. Tambosi
- Centro de Engenharia, Modelagem e Ciências Sociais Aplicadas Universidade Federal do ABC Santo André Brazil
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Costa TLDSR, Mazzochini GG, Oliveira‐Filho AT, Ganade G, Carvalho AR, Manhães AP. Priority areas for restoring ecosystem services to enhance human well‐being in a dry forest. Restor Ecol 2021. [DOI: 10.1111/rec.13426] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
| | - Guilherme G. Mazzochini
- Instituto de Biociências Universidade Estadual de Campinas, Cidade Universitária Zeferino Vaz CEP 13083‐970, Campinas São Paulo Brazil
| | - Ary T. Oliveira‐Filho
- Departamento de Botânica Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais Av. Antônio Carlos, 6627, Pampulha, Belo Horizonte MG 31270‐901 Brazil
| | - Gislene Ganade
- Departamento de Ecologia Universidade Federal do Rio Grande do Norte Natal Rio Grande do Norte 59078‐970 Brazil
| | - Adriana R. Carvalho
- Departamento de Ecologia Universidade Federal do Rio Grande do Norte Natal Rio Grande do Norte 59078‐970 Brazil
- Fishing Ecology Management and Economics Departamento de Ecologia Universidade Federal do Rio Grande do Norte Natal Rio Grande do Norte 59078‐970 Brazil
| | - Adriana P. Manhães
- Departmento de Botânica Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil
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Cimon-Morin J, Goyette JO, Mendes P, Pellerin S, Poulin M. A systematic conservation planning approach to maintaining ecosystem service provision in working landscapes. Facets (Ott) 2021. [DOI: 10.1139/facets-2020-0100] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Balancing human well-being with the maintenance of ecosystem services (ES) for future generations has become one of the central sustainability challenges of the 21st century. In working landscapes, past and ongoing production-centered objectives have resulted in the conversion of ecosystems into simple land-use types, which has also altered the provision of most ES. These inevitable trade-offs between the efficient production of individual provisioning ES and the maintenance of regulating and cultural ES call for the development of a land-use strategy based on the multifunctional use of the landscape. Due to the heterogeneous nature of working landscapes, both protection and restoration actions are needed to improve their multifunctionality. Systematic conservation planning (SCP) offers a decision support framework that can support landscape multifunctionality by indicating where ES management efforts should be implemented. We describe an approach that we developed to include ES provision protection and restoration objectives in SCP with the goal of providing ongoing benefits to society. We explain the general framework of this approach and discuss concepts, challenges, innovations, and prospects for the further development of a comprehensive decision support tool. We illustrate our approach with two case studies implemented in the pan-Canadian project ResNet.
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Affiliation(s)
- Jérôme Cimon-Morin
- Département des sciences du bois et de la forêt, Faculté de Foresterie, de Géographie et de Géomatique, Université Laval, 2405 rue de la Terrasse, Québec, QC G1V 0A6, Canada
- Centre d’étude de la forêt, Université du Québec à Montréal, 141 Président-Kennedy, Montréal, QC H2X 1Y4, Canada
| | - Jean-Olivier Goyette
- Quebec Centre for Biodiversity Science, McGill University, 1205 Dr. Penfield Avenue, Montreal, QC H3A 1B1, Canada
- Département de phytologie, Faculté des Sciences de l’Agriculture et de l’Alimentation, Université Laval, 2425 rue de l’agriculture, Québec, QC G1V 0A6, Canada
| | - Poliana Mendes
- Quebec Centre for Biodiversity Science, McGill University, 1205 Dr. Penfield Avenue, Montreal, QC H3A 1B1, Canada
- Département de phytologie, Faculté des Sciences de l’Agriculture et de l’Alimentation, Université Laval, 2425 rue de l’agriculture, Québec, QC G1V 0A6, Canada
| | - Stéphanie Pellerin
- Quebec Centre for Biodiversity Science, McGill University, 1205 Dr. Penfield Avenue, Montreal, QC H3A 1B1, Canada
- Département des sciences biologiques, Institut de recherche en biologie végétale, Université de Montréal, 4101 rue Sherbrooke Est, Montréal, QC H1X 2B2, Canada
| | - Monique Poulin
- Quebec Centre for Biodiversity Science, McGill University, 1205 Dr. Penfield Avenue, Montreal, QC H3A 1B1, Canada
- Département de phytologie, Faculté des Sciences de l’Agriculture et de l’Alimentation, Université Laval, 2425 rue de l’agriculture, Québec, QC G1V 0A6, Canada
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Honeck E, Sanguet A, Schlaepfer MA, Wyler N, Lehmann A. Methods for identifying green infrastructure. SN APPLIED SCIENCES 2020. [DOI: 10.1007/s42452-020-03575-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
AbstractNature forms interdependent networks in a landscape, which is key to the survival of species and the maintenance of genetic diversity. Nature provides crucial socio-economic benefits to people, but they are typically undervalued in political decisions. This has led to the concept of Green Infrastructure (GI), which defines an interlinked network of (semi-)natural areas with high ecological values for wildlife and people, to be conserved and managed in priority to preserve biodiversity and ecosystem services. This relatively new concept has been used in different contexts, but with widely diverging interpretations. There is no apparent consensus in the scientific literature on the methodology to map and implement GI. This paper serves as an informed primer for researchers that are new to GI mapping understand the key principles and terminology for the needs of their own case-study, and as a framework for more advance researchers willing to contribute to the formalization of the concept. Through a literature review of articles on creating GI networks, we summarized and evaluated commonly used methods to identify and map GI. We provided key insights for the assessment of diversity, ecosystem services and landscape connectivity, the three ‘pillars’ on which GI identification is based according to its definition. Based on this literature review, we propose 5 theoretical levels toward a more complex, reliable and integrative approach to identify GI networks. We then discuss the applications and limits of such method and point out future challenges for GI identification and implementation.
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Buchmann-Duck J, Beazley KF. An urgent call for circular economy advocates to acknowledge its limitations in conserving biodiversity. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 727:138602. [PMID: 32325313 DOI: 10.1016/j.scitotenv.2020.138602] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Revised: 03/29/2020] [Accepted: 04/07/2020] [Indexed: 06/11/2023]
Abstract
This discussion paper explores the relationship between biodiversity and the circular economy and the potential implications of this relationship. The circular economy has emerged as an alternative model to a traditional linear economy. It aims to tackle the resource exploitation that accompanies a linear economy and decouple economic growth from reliance on primary resources. In the face of global environmental degradation and an urgent need for change, the concept has become popular around the world and has led to the release of national policies and strategies on the circular economy. Problematically, while the basic concept is clear, it is ambiguous in how it will achieve some of its objectives, and it fails to address some key issues. In light of the accelerating rate of change, precipitous biodiversity decline is one such key issue. Through a content analysis of relevant circular economy publications, authors demonstrate that biodiversity protection is rarely mentioned in theory and policy. While the circular economy holds many benefits for society, its evasion of scrutiny has prevented it from manifesting in a comprehensive solution to environmental issues. The circular economy advocates for biomimicry, ecosystem service valuation, bioeconomy, and renewable energy. Each of these, however, has its own set of conflicts with biodiversity protection. Given the imminent need to protect biodiversity, the authors call for further research on the interaction between biodiversity and the circular economy, and for circular economy advocates to explicitly acknowledge the concept's limitations, thereby revealing the need for intersectional and complementary policies which aim to protect biodiversity.
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Affiliation(s)
- Johanna Buchmann-Duck
- School for Resource and Environmental Studies, Dalhousie University, Halifax, NS B3H 4R2, Canada.
| | - Karen F Beazley
- School for Resource and Environmental Studies, Dalhousie University, Halifax, NS B3H 4R2, Canada
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Implementing Green Infrastructure for the Spatial Planning of Peri-Urban Areas in Geneva, Switzerland. SUSTAINABILITY 2020. [DOI: 10.3390/su12041387] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The concept of green infrastructure (GI) seeks to identify and prioritize areas of high ecological value for wildlife and people, to improve the integration of natural values in landscape planning decisions. In 2018, the canton of Geneva, Switzerland, established a roadmap for biodiversity conservation, which includes the operationalization of GI covering 30% of the territory by 2030. In this paper, we demonstrate a GI mapping framework in the canton of Geneva. Our approach is based on the combined assessment of three ‘pillars’, namely species’ distribution, landscape structure and connectivity, and ecosystem services, to optimize the allocation of conservation actions using the spatial prioritization software, Zonation. The identified priority conservation areas closely overlap existing natural reserves. Including the three pillars in the landscape prioritization should also improve adhesion to the GI idea, without undermining the protection of threatened species. With regards to land use planning, public and private land parcels with high values for GI may require specific incentives to maintain their desirable characteristics, as they are more likely to be degraded than areas with more building restrictions. Visualizing priority conservation areas in a spatially explicit manner will support decision-makers in Geneva to optimally allocate limited resources for ecosystem preservation.
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Plant Diversity Along the Urban–Rural Gradient and Its Relationship with Urbanization Degree in Shanghai, China. FORESTS 2020. [DOI: 10.3390/f11020171] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Urbanization is one of the major causes for plant diversity loss at the local and regional scale. However, how plant species distribute along the urban–rural gradient and what the relationship between urbanization degree and plant diversity is, is not very clear. In this paper, 134 sample sites along two 18 km width transects that run across the urban center of Shanghai were investigated. We quantified the spatial patterns of plant diversity along the urban–rural gradient and measured the relationship between plant diversity and urbanization degree, which was calculated using a land use land cover map derived from high spatial resolution aerial photos. We recorded 526 vascular plant species in 134 plots, 57.8% of which are exotic plant species. Six spatial distribution patterns of species richness were identified for different plant taxa along the rural to urban gradient. The native plant species richness showed no significant relationship to urbanization degree. The richness of the all plants, woody plants and perennial herbs presented significant positive relationship with urbanization degree, while the richness of annual herbs, Shannon-Wiener diversity and Heip evenness all exhibited a negative relationship to urbanization degree. Urbanization could significantly influence plant diversity in Shanghai. Our findings can provide insights to understand the mechanism of urbanization effects on plant diversity, as well as plant diversity conservation in urban areas.
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Wei F, Wang S, Fu B, Liu Y. Representation of biodiversity and ecosystem services in East Africa's protected area network. AMBIO 2020; 49:245-257. [PMID: 30852776 PMCID: PMC6888792 DOI: 10.1007/s13280-019-01155-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 01/07/2019] [Accepted: 01/29/2019] [Indexed: 06/09/2023]
Abstract
The dramatic increase in anthropogenic activity severely threatens the biodiversity and life-support services that underpin human well-being. The broadened focus of protecting ecosystem services (ESs) better aligns the interests of people and biodiversity conservation. In this study, we used species richness as a surrogate for biodiversity and mapped the key ESs in East Africa with the goal to assess the spatial congruence between biodiversity and ESs, and evaluate the representation of current protected areas (PAs) network for biodiversity and ESs. The results showed that PAs well represented for species richness and regulating services but underrepresented for provisioning services. The PAs network occupies 10.96% of East Africa's land surface, and captures 20.62-26.37% of conservation priorities for vertebrate and plant species. It encompasses more than 16.23% of priority areas for three regulating services, but only 6.17% and 5.22% for crop and livestock production, respectively. Strong correlations and high overlaps exist between species richness and regulating services, particularly for carbon storage, water yield and plants. Thus, we believe that actions taken to conserve biodiversity also will protect certain ESs, which in turn will create new incentives and funding sources for the conservation of biodiversity. Overall, our results have wide-ranging policy implications and can be used to optimize conservation strategies for both biodiversity and multiple ESs in East Africa.
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Affiliation(s)
- Fangli Wei
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P. O. Box 2871, Beijing, 100085 People’s Republic of China
- University of Chinese Academy of Sciences, Beijing, 100049 People’s Republic of China
| | - Shuai Wang
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875 People’s Republic of China
| | - Bojie Fu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P. O. Box 2871, Beijing, 100085 People’s Republic of China
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875 People’s Republic of China
| | - Yanxu Liu
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875 People’s Republic of China
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Neri M, Jameli D, Bernard E, Melo FP. Green versus green? Adverting potential conflicts between wind power generation and biodiversity conservation in Brazil. Perspect Ecol Conserv 2019. [DOI: 10.1016/j.pecon.2019.08.004] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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Exploring the Relationships between Key Ecological Indicators to Improve Natural Conservation Planning at Different Scales. FORESTS 2019. [DOI: 10.3390/f10010032] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Biodiversity, regulating ecosystem services (RES), and vegetation productivity are key indicators to instruct natural conservation planning. Decision makers often hope that ecosystems can be protected by focusing on certain key indicators, which requires an understanding of the relationships between the indicators. Using individual case studies, many have argued that these indicators commonly have significant relationships. However, these relationships at different spatial scales are unclear. Therefore, in this study, biodiversity and ecosystem services are modelled by the ecological niche model, the universal soil loss equation, and the equation of water balance in two study areas at different scales. The influence of vegetation productivity on the spatial pattern of other ecological indicators in the two areas is examined by a spatial lag model. The contributions of the driving factors on biodiversity distribution at both scales are identified by a boosted regression tree (BRT) model. The results showed that at the fine scale, the spatial correlations were strongest for species richness, especially mammalian species richness, and water retention. However, biodiversity had no significant relationship with vegetation productivity. In contrast, at a coarser scale, the correlation was stronger between plant diversity and regulating ecosystem services. In addition, plant diversity was significantly correlated with vegetation productivity. These differences between scales were controlled by various explanatory variables. At the fine scale, biophysical and climatic factors had the strongest effects on biodiversity distribution, while Net Primary Productivity (NPP) and ecoregion also had relatively high influences on biodiversity at the coarse scale. This demonstrates the critical importance of spatial scale in selecting conservation indicators. We suggest that rare mammalian species richness or flagship mammal species are suitable as conservation surrogates in fine-scale conservation planning. However, at a coarser scale, selecting vegetation patches with more rare plant species and high productivity for each ecoregion is a workable alternative method for conservation planning.
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Lecina-Diaz J, Alvarez A, Regos A, Drapeau P, Paquette A, Messier C, Retana J. The positive carbon stocks-biodiversity relationship in forests: co-occurrence and drivers across five subclimates. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2018; 28:1481-1493. [PMID: 29885260 DOI: 10.1002/eap.1749] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Revised: 04/13/2018] [Accepted: 04/25/2018] [Indexed: 06/08/2023]
Abstract
Carbon storage in forests and its ability to offset global greenhouse gas emissions, as well as biodiversity and its capacity to support ecosystem functions and services, are often considered separately in landscape planning. However, the potential synergies between them are currently poorly understood. Identifying the spatial patterns and factors driving their co-occurrence across different climatic zones is critical to more effectively conserve forest ecosystems at the regional level. Here, we integrated information of National Forest Inventories and Breeding Bird Atlases across Europe and North America (Spain and Quebec, respectively), covering five subclimates (steppe, dry Mediterranean, humid Mediterranean, boreal, and temperate). In particular, this study aimed to (1) determine the spatial patterns of both forest carbon stocks and biodiversity (bird richness, tree richness, and overall biodiversity) and the factors that influence them; (2) establish the relationships between forest carbon stocks and biodiversity; and (3) define and characterize the areas of high (hotspots) and low (coldspots) values of carbon and biodiversity, and ultimately quantify their spatial overlap. Our results show that the factors affecting carbon and biodiversity vary between regions and subclimates. The highest values of carbon and biodiversity were found in northern Spain (humid Mediterranean subclimate) and southern Quebec (temperate subclimate) where there was more carbon as climate conditions were less limiting. High density and structural diversity simultaneously favored carbon stocks, tree, and overall biodiversity, especially in isolated and mountainous areas, often associated with steeper slopes and low accessibility. In addition, the relationship between carbon stocks and biodiversity was positive in both regions and all subclimates, being stronger where climate is a limiting factor for forest growth. The spatial overlap between hotspots of carbon and biodiversity provides an excellent opportunity for landscape planning to maintain carbon stocks and conserve biodiversity. The variables positively affecting carbon and biodiversity were also driving the hotspots of both carbon and biodiversity, emphasizing the viability of "win-win" solutions. Our results highlight the need to jointly determine the spatial patterns of ecosystem services and biodiversity for an effective and sustainable planning of forest landscapes that simultaneously support conservation and mitigate climate change.
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Affiliation(s)
| | - Albert Alvarez
- CREAF, E08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain
| | - Adrián Regos
- CIBIO/InBIO, Research Center in Biodiversity and Genetic Resources, ECOCHANGE Group, Vairão, Portugal
- Depto de Zooloxía, Xenética e Antropoloxía Fisica, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
- Forest Sciences Centre of Catalonia (CEMFOR-CTFC), Sant Llorenç de Morunys km 2, 25280, Solsona, Spain
| | - Pierre Drapeau
- Département des Sciences Biologiques, Université du Québec à Montréal, Montréal, Québec , H3C 3P8, Canada
- Centre d'étude de la Forêt, Université du Québec à Montréal, Montréal, Québec , H2X 3Y7, Canada
| | - Alain Paquette
- Département des Sciences Biologiques, Université du Québec à Montréal, Montréal, Québec , H3C 3P8, Canada
- Centre d'étude de la Forêt, Université du Québec à Montréal, Montréal, Québec , H2X 3Y7, Canada
| | - Christian Messier
- Département des Sciences Biologiques, Université du Québec à Montréal, Montréal, Québec , H3C 3P8, Canada
- Centre d'étude de la Forêt, Université du Québec à Montréal, Montréal, Québec , H2X 3Y7, Canada
- Institut des Sciences de la Forêt Tempérée, Université du Québec en Outaouais, Ripon, Québec, J0V 1V0, Canada
| | - Javier Retana
- CREAF, E08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain
- Universitat Autònoma de Barcelona, E08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain
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