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Ai X, Zheng X, Zhang Y, Liu Y, Ou X, Xia C, Liu L. Climate and land use changes impact the trajectories of ecosystem service bundles in an urban agglomeration: Intricate interaction trends and driver identification under SSP-RCP scenarios. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 944:173828. [PMID: 38857801 DOI: 10.1016/j.scitotenv.2024.173828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 05/19/2024] [Accepted: 06/05/2024] [Indexed: 06/12/2024]
Abstract
The delivery of ecosystem services (ESs), particularly in urban agglomerations, faces substantial threats from impending future climate change and human activity. Assessing ES bundles (ESBs) is critical to understanding the spatial allocation and interactions between multiple ESs. However, dynamic projections of ESBs under various future scenarios are still lacking, and their underlying driving mechanisms have received insufficient attention. This study examined the Beijing-Tianjin-Hebei urban agglomeration and proposed a framework that integrates patch-generating land use simulation into three shared socioeconomic pathway (SSP) scenarios and clustering analysis to assess spatiotemporal variations in seven ESs and ESBs from 1990 to 2050. The spatial trajectories of ESBs were analyzed to identify fluctuating regions susceptible to SSP scenarios. The results indicated that (1) different scenarios exhibited different loss rates of regulating and supporting services, where the mitigation of degradation was most significant under SSP126. The comprehensive ES value was highest under SSP245. (2) Bundles 1 and 2 (dominated by regulating and supporting services) had the largest total proportion under SSP126 (51.92 %). The largest total proportion of Bundles 4 and 5 occurred under SSP585 (48.96 %), with the highest provisioning services. The SSP126 scenario was projected to have the least ESB fluctuation at the grid scale, while the most occurred under SSP585. (3) Notably, synergies between regulating/supporting services were weaker under SSP126 than under either SSP245 or SSP585, while trade-offs between water yield and non-provisioning services were strongest. (4) Forestland and grassland proportions significantly affected carbon sequestration and habitat quality. Climatic factors (precipitation and temperature) acted as the dominant drivers of provisioning services, particularly water yield. Our findings advocate spatial strategies for future regional ES management to address upcoming risks.
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Affiliation(s)
- Xin Ai
- School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China.
| | - Xi Zheng
- School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China.
| | - Yaru Zhang
- School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
| | - Yang Liu
- School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
| | - Xiaoyang Ou
- School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
| | - Chunbo Xia
- School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
| | - Lingjun Liu
- School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
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Emery SE, Rosenheim JA, Chaplin-Kramer R, Sharp R, Karp DS. Leveraging satellite observations to reveal ecological drivers of pest densities across landscapes. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 924:171591. [PMID: 38485019 DOI: 10.1016/j.scitotenv.2024.171591] [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: 09/14/2023] [Revised: 03/06/2024] [Accepted: 03/07/2024] [Indexed: 03/18/2024]
Abstract
Landscape ecologists have long suggested that pest abundances increase in simplified, monoculture landscapes. However, tests of this theory often fail to predict pest population sizes in real-world agricultural fields. These failures may arise not only from variation in pest ecology, but also from the widespread use of categorical land-use maps that do not adequately characterize habitat-availability for pests. We used 1163 field-year observations of Lygus hesperus (Western Tarnished Plant Bug) densities in California cotton fields to determine whether integrating remotely-sensed metrics of vegetation productivity and phenology into pest models could improve pest abundance analysis and prediction. Because L. hesperus often overwinters in non-crop vegetation, we predicted that pest abundances would peak on farms surrounded by more non-crop vegetation, especially when the non-crop vegetation is initially productive but then dries down early in the year, causing the pest to disperse into cotton fields. We found that the effect of non-crop habitat on pest densities varied across latitudes, with a positive relationship in the north and a negative one in the south. Aligning with our hypotheses, models predicted that L. hesperus densities were 35 times higher on farms surrounded by high versus low productivity non-crop vegetation (EVI area 350 vs. 50) and 2.8 times higher when dormancy occurred earlier versus later in the year (May 15 vs. June 30). Despite these strong and significant effects, we found that integrating these remote-sensing variables into land-use models only marginally improved pest density predictions in cotton compared to models with categorical land cover metrics alone. Together, our work suggests that the remote sensing variables analyzed here can advance our understanding of pest ecology, but not yet substantively increase the accuracy of pest abundance predictions.
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Affiliation(s)
- Sara E Emery
- Department of Wildlife Fish and Conservation Biology, University of California, Davis, United States of America; Department of Entomology, Cornell University, United States of America.
| | - Jay A Rosenheim
- Department of Entomology and Nematology, University of California, Davis, United States of America
| | | | - Richard Sharp
- Global Science, World Wildlife Fund, United States of America
| | - Daniel S Karp
- Department of Wildlife Fish and Conservation Biology, University of California, Davis, United States of America
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Vyvlečka P, Pechanec V. Optical Remote Sensing in Provisioning of Ecosystem-Functions Analysis-Review. SENSORS (BASEL, SWITZERLAND) 2023; 23:4937. [PMID: 37430851 DOI: 10.3390/s23104937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 05/11/2023] [Accepted: 05/18/2023] [Indexed: 07/12/2023]
Abstract
Keeping natural ecosystems and their functions in the proper condition is necessary. One of the best contactless monitoring methods is remote sensing, especially optical remote sensing, which is used for vegetation applications. In addition to satellite data, data from ground sensors are necessary for validation or training in ecosystem-function quantification. This article focuses on the ecosystem functions associated with aboveground-biomass production and storage. The study contains an overview of the remote-sensing methods used for ecosystem-function monitoring, especially methods for detecting primary variables linked to ecosystem functions. The related studies are summarized in multiple tables. Most studies use freely available Sentinel-2 or Landsat imagery, with Sentinel-2 mostly producing better results at larger scales and in areas with vegetation. The spatial resolution is a key factor that plays a significant role in the accuracy with which ecosystem functions are quantified. However, factors such as spectral bands, algorithm selection, and validation data are also important. In general, optical data are usable even without supplementary data.
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Affiliation(s)
- Pavel Vyvlečka
- Department of Geoinformatics, Faculty of Science, Palacky University, 771 46 Olomouc, Czech Republic
| | - Vilém Pechanec
- Department of Geoinformatics, Faculty of Science, Palacky University, 771 46 Olomouc, Czech Republic
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Xiaojing W, Honglin H, Li Z, Lili F, Xiaoli R, Weihua L, Changxin Z, Naifeng L. Spatial sampling design optimization of monitoring network for terrestrial ecosystem in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 847:157397. [PMID: 35850349 DOI: 10.1016/j.scitotenv.2022.157397] [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: 01/13/2022] [Revised: 06/23/2022] [Accepted: 07/11/2022] [Indexed: 06/15/2023]
Abstract
The rapid socioeconomic development leads to the deterioration of ecological environment. Ecosystem assessment has been conducted worldwide, e.g. the Millennium Ecosystem Assessment to assess consequences of ecosystem change for human well-being. To enhance ecosystem assessment in China, this study proposes the design of a monitoring network for the terrestrial ecosystem consisting of core stations and localized points. With focus on ecosystem services of NPP, water conservation, soil retention and sandstorm prevention, core stations of the monitoring network for observing all four services are first selected by assessing and improving spatial representativeness in ecoregions of forest, grassland and desert ecosystems. Then a spatial sampling method is applied to choose localized points for observing each specific service. Eventually expert's knowledge is used to make final decisions of added stations and points by utilizing existing networks and considering factors such as topography, spatial coverage. Combining both aforementioned approaches and experts knowledge, 60 core stations and 176 localized points are finally determined for the monitoring network. For the forest ecosystem, 39 core stations are decided with 31 selected from existing networks and eight newly added core stations improve spatial representativeness by 51.58 %, 68.11 % and 75.55 % in Temperate grasslands, Temperate desert and Alpine vegetation in Tibet Plateau respectively. For the grassland and desert ecosystem, 21 core stations are chosen with 18 from existing networks and three newly added core stations improve the representativeness by 21.60 % and 44.88 % in Tibet alpine grassland and Grassland in southern mountain areas respectively. Priorities in the implementation phase should be given to instruments installation for monitoring all four services in core stations from existing networks and setting up new stations in regions where representativeness are significantly improved.
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Affiliation(s)
- Wu Xiaojing
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; National Ecosystem Science Data Center, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - He Honglin
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; National Ecosystem Science Data Center, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Zhang Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; National Ecosystem Science Data Center, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Feng Lili
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; National Ecosystem Science Data Center, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Ren Xiaoli
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; National Ecosystem Science Data Center, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Liu Weihua
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; National Ecosystem Science Data Center, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Zou Changxin
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Lin Naifeng
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
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Smajgl A, Schweik CM. Advancing sustainability with blockchain-based incentives and institutions. FRONTIERS IN BLOCKCHAIN 2022. [DOI: 10.3389/fbloc.2022.963766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Despite significant efforts over many decades, humanity faces daunting challenges in the governance, management and sustainability of natural resources. Perhaps the most obvious is our global inability to collectively act and control or reduce greenhouse gases that are warming the planet. Another example, occurring at finer geographic scales, is the overuse of groundwater aquifers. Institutions—defined in Political Science and Economics as formal and informal rules that guide and incentivize socio-economic activities—are humanity’s general approach toward addressing these and other environmental challenges. Institutional arrangements typically specify whom they apply to, under what circumstances, and what penalty the breaking of the rule involves. Effective institutional design requires the ability to properly incentivize human behavior in the context of socio-economic systems, and establish systems to monitor behavior and sanction when rules are broken. From time to time, technological advances come along that complement institutional designs and improve our ability to incentivize and monitor behavior. We believe that the invention of Blockchain or Distributed Ledger technology—increasingly touted as the beginning of the fourth industrial revolution–could provide new ways to incentivize behavior of resource users, establish innovative monitoring capacity, and help to avoid corrupt governmental behavior. In this Perspective article, we summarize Proof-of-Stake Blockchain technology and provide two examples—deforestation and groundwater management—to describe how this new revolution could provide new solutions for the sustainable management of natural resources at local to global scales.
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Estoque RC, Johnson BA, Dasgupta R, Gao Y, Matsuura T, Toma T, Hirata Y, Lasco RD. Rethinking forest monitoring for more meaningful global forest landscape change assessments. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 317:115478. [PMID: 35751275 DOI: 10.1016/j.jenvman.2022.115478] [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: 04/01/2022] [Revised: 05/27/2022] [Accepted: 05/31/2022] [Indexed: 06/15/2023]
Abstract
Forest ecosystems play an indispensable role in addressing various pressing sustainability and social-ecological challenges such as climate change, biodiversity loss, and ecosystem services deterioration, hence the monitoring of the world's forests is crucial. As part of the global forest assessment workflow, a forest is generally classified and mapped based on land use and/or using a tree canopy cover threshold. In this paper, we examine the limitations of this approach and argue that the use of a land use-based forest definition and tree canopy cover thresholds can overlook forest degradation and enhancement, disguise the actual status of forest landscapes, and misinform management planning. These limitations can delay the development and implementation of forest restoration and conservation measures. To help overcome these issues, we propose some enhancements to the global forest assessment workflow, including the sharing of spatial data and inclusion of tree canopy cover estimates in assessment reports. Such enhancements are needed to achieve more meaningful forest monitoring and reporting in the context of global environmental initiatives, such as those related to climate change mitigation and adaptation, forest restoration, biodiversity conservation, and ecosystem services monitoring.
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Affiliation(s)
- Ronald C Estoque
- Center for Biodiversity and Climate Change, Forestry and Forest Products Research Institute, Tsukuba, Ibaraki, 305-8687, Japan.
| | - Brian Alan Johnson
- Institute for Global Environmental Strategies, Hayama, Kanagawa, 240-0115, Japan
| | - Rajarshi Dasgupta
- Institute for Global Environmental Strategies, Hayama, Kanagawa, 240-0115, Japan
| | - Yan Gao
- Centro de Investigaciones en Geografía Ambiental, Universidad Nacional Autónoma de México, 58190, Morelia, Mexico
| | - Toshiya Matsuura
- Tohoku Research Center, Forestry and Forest Products Research Institute, Morioka, Iwate, 020-0123, Japan
| | - Takeshi Toma
- International Strategy Division, Research Planning Department, Forestry and Forest Products Research Institute, Tsukuba, Ibaraki, 305-8687, Japan
| | - Yasumasa Hirata
- REDD+ and F-DRR Research and Development Center, Forestry and Forest Products Research Institute, Tsukuba, Ibaraki, 305-8687, Japan
| | - Rodel D Lasco
- World Agroforestry Centre, International Rice Research Institute, Los Baños, Laguna, 4031, Philippines; Oscar M. Lopez Center, Pasig City, 1604 Metro Manila, Philippines
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Wang H, Wang WJ, Liu Z, Wang L, Zhang W, Zou Y, Jiang M. Combined effects of multi-land use decisions and climate change on water-related ecosystem services in Northeast China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 315:115131. [PMID: 35512599 DOI: 10.1016/j.jenvman.2022.115131] [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: 11/15/2021] [Revised: 04/08/2022] [Accepted: 04/19/2022] [Indexed: 06/14/2023]
Abstract
Land use intensification and climate change have resulted in substantial changes in the provision of ecosystem services, particularly in China that experienced sharp increases in population growth and demands for goods and energy. To protect the environment and restore the degraded ecosystems, the Chinese government has implemented multiple national ecological restoration projects. Yet, the combined effects of climate change and land use and land cover change (LULCC) over large spatial scales that brace multiple land use decisions and great environmental heterogeneity remain unclear. We assessed the combined effects of LULCC and climate change on water-related ecosystem services (water provision and soil conservation services) from 1990s to 2020s in Northeast China using the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model. We found that water yield decreased by 9.78% and soil retention increased by 30.51% over the past 30 years. LULCC and climate change exerted negative effects on water yield whereas they both enhanced soil retention; LULCC interacted with climate change to have relatively small inhibitory effects on water yield and large facilitation effects on soil retention. Changes in water yield were mainly attributed to climate change, while soil retention was largely influenced by LULCC and its interaction with climate change. Our research highlights the importance of land use decisions and its interactive effects with climate change on ecosystem services in a heavily disturbed temperate region, and provides important information to inform future land management and policy making for sustaining diverse ecosystem services and ensuring human wellbeing.
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Affiliation(s)
- Hebin Wang
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wen J Wang
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China.
| | - Zhihua Liu
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China
| | - Lei Wang
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
| | - Wenguang Zhang
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
| | - Yuanchun Zou
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
| | - Ming Jiang
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
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Remote Sensing and Phytoecological Methods for Mapping and Assessing Potential Ecosystem Services of the Ouled Hannèche Forest in the Hodna Mountains, Algeria. FORESTS 2022. [DOI: 10.3390/f13081159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Regardless of their biogeographic origins or degree of artificialization, the world’s forests are a source of a wide range of ecosystem services (ES). However, the quality and quantity of these services depend on the type of forest studied and its phytogeographic context. Our objective is to transpose the concept of ES, in particular, the assessment of forest ES, to the specific Mediterranean context of the North African mountains, where this issue is still in its infancy and where access to the data needed for assessment remains difficult. Our work presents an introductory approach, allowing us to set up methodological and scientific milestones based on open-access remote sensing data and already tested geospatial processing associated with phytoecological surveys to assess the ES provided by forests in an Algerian study area. Specifically, several indicators used to assess (both qualitatively and quantitatively) the potential ES of the Ouled Hannèche forest, a forest located in the Hodna Mountains, are derived from LANDSAT 8 OLI images from 2017 and an ALOS AW3D30 DSM. The qualitative ES typology is jointly based on an SVM classification of topographically corrected LANDSAT images and a geomorphic-type classification using the geomorphon method. NDVI is a quantitative estimator of many plant ecosystem functions related to ES. It highlights the variations in the provision of ES according to the types of vegetation formations present. It serves as a support for estimating spectral heterogeneity through Rao’s quadratic entropy, which is considered a relative indicator of biodiversity at the landscape scale. The two previous variables (the multitemporal NDVI and Rao’s Q), completed by the Shannon entropy method applied to the geomorphon classes as a proxy for topo-morphological heterogeneity, constitute the input variables of a quantitative map of the potential supply of ES in the forest determined by Spatial Multicriteria Analysis (SMCA). Ultimately, our results serve as a useful basis for land-use planning and biodiversity conservation.
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Spatiotemporal Dynamics of Grasslands Using Landsat Data in Livestock Micro-Watersheds in Amazonas (NW Peru). LAND 2022. [DOI: 10.3390/land11050674] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
In Peru, grasslands monitoring is essential to support public policies related to the identification, recovery and management of livestock systems. In this study, therefore, we evaluated the spatial dynamics of grasslands in Pomacochas and Ventilla micro-watersheds (Amazonas, NW Peru). To do this, we used Landsat 5, 7 and 8 images and vegetation indices (normalized difference vegetation index (NDVI), enhanced vegetation index (EVI) and soil adjusted vegetation index (SAVI). The data were processed in Google Earth Engine (GEE) platform for 1990, 2000, 2010 and 2020 through random forest (RF) classification reaching accuracies above 85%. The application of RF in GEE allowed surface mapping of grasslands with pressures higher than 85%. Interestingly, our results reported the increase of grasslands in both Pomacochas (from 2457.03 ha to 3659.37 ha) and Ventilla (from 1932.38 ha to 4056.26 ha) micro-watersheds during 1990–2020. Effectively, this study aims to provide useful information for territorial planning with potential replicability for other cattle-raising regions of the country. It could further be used to improve grassland management and promote semi-extensive livestock farming.
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Liu Z, Huang Q, Zhou Y, Sun X. Spatial identification of restored priority areas based on ecosystem service bundles and urbanization effects in a megalopolis area. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 308:114627. [PMID: 35114516 DOI: 10.1016/j.jenvman.2022.114627] [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: 09/28/2021] [Revised: 12/19/2021] [Accepted: 01/26/2022] [Indexed: 06/14/2023]
Abstract
Rapid urbanization has altered the structure and function of urban ecosystems with respect to the demand for planning ecological restoration to inhibit ecological degradation. However, there is still a challenge to quickly and effectively identify the restored priority areas to maximize ecological service (ES) supply and enhance human well-being. Taking the Shenzhen metropolitan region as a case study area, this study identified the restored priority sites based on the ES bundles evolution and urbanization effects. The ES bundles were identified by analyzing the spatial dynamics under the hybrid urban landscape, then the impact of urbanization on the ES bundles was explored using linear regression analysis characterized by different levels of urbanization in different stages. Furthermore, the spatial statistics were used to identify the priority sites. The results showed that 68.78% of the grids had changed their ES bundles in terms of their quantities, types, and sites in Shenzhen during 1978-2018. The urbanization driver spatially shifts from provision of service to regulation and cultural ecosystem services and significantly negatively influences the composition and structure of the ES bundles in different urbanization stages. 1196 of the 1 square kilometer grids, which accounted for 54.17%, were identified to prioritize for ecological restoration in Shenzhen. However, only 4.08% of them need to set as the key ecological restoration site. This study explored an effectively spatial way to implement ecological restoration planning in a rapidly urbanized area.
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Affiliation(s)
- Zhenhuan Liu
- School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, PR China.
| | - Qiandu Huang
- Zhuhai Institute of Urban Planning & Design, Zhuhai, 519001, PR China
| | - Yi Zhou
- School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, PR China
| | - Xiao Sun
- Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
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An Overview of the Applications of Earth Observation Satellite Data: Impacts and Future Trends. REMOTE SENSING 2022. [DOI: 10.3390/rs14081863] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
As satellite observation technology develops and the number of Earth observation (EO) satellites increases, satellite observations have become essential to developments in the understanding of the Earth and its environment. However, the current impacts to the remote sensing community of different EO satellite data and possible future trends of EO satellite data applications have not been systematically examined. In this paper, we review the impacts of and future trends in the use of EO satellite data based on an analysis of data from 15 EO satellites whose data are widely used. Articles that reference EO satellite missions included in the Web of Science core collection for 2020 were analyzed using scientometric analysis and meta-analysis. We found the following: (1) the number of publications and citations referencing EO satellites is increasing exponentially; however, the number of articles referencing AVHRR, SPOT, and TerraSAR is tending to decrease; (2) papers related to EO satellites are concentrated in a small number of journals: 43.79% of the articles that were reviewed were published in only 13 journals; and (3) remote sensing impact factor (RSIF), a new impact index, was constructed to measure the impacts of EO satellites and to predict future trends in applications of their data. Landsat, Sentinel, MODIS, Gaofen, and WorldView were found to be the most significant current EO satellite missions and MODIS data to have the widest range of applications. Over the next five years (2021–2025), it is expected that Sentinel will become the satellite mission with the greatest influence.
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From Forest Dynamics to Wetland Siltation in Mountainous Landscapes: A RS-Based Framework for Enhancing Erosion Control. REMOTE SENSING 2022. [DOI: 10.3390/rs14081864] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Human activities have caused a significant change in the function and services that ecosystems have provided to society since historical times. In mountainous landscapes, the regulation of services such as water quality or erosion control has been impacted by land use and land cover (LULC) changes, especially the loss and fragmentation of forest patches. In this work, we develop a Remote Sensing (RS)-based modelling approach to identify areas for the implementation of nature-based solutions (NBS) (i.e., natural forest conservation and restoration) that allow reducing the vulnerability of aquatic ecosystems to siltation in mountainous regions. We used time series Landsat 5TM, 7ETM+, 8OLI and Sentinel 2A/2B MSI (S2) imagery to map forest dynamics and wetland distribution in Picos de Europa National Park (Cantabrian Mountains, northern Spain). We fed RS-based models with detailed in situ information based on photo-interpretation and fieldwork completed from 2017 to 2021. We estimated a forest cover increase rate of 2 ha/year comparing current and past LULC maps against external validation data. We applied this forest gain to a scenario generator model to derive a 30-year future LULC map that defines the potential forest extent for the study area in 2049. We then modelled the distribution of wetlands to identify the areas with the greatest potential for moisture accumulation. We used an S2 mosaic and topography-derived data such as the slope and topographic wetness index (TWI), which indicate terrain water accumulation. Overall accuracy scores reached values of 86% for LULC classification and 61% for wetland mapping. At the same time, we obtained the potential erosion using the NetMap software to identify potential sediment production, transport and deposition areas. Finally, forest dynamics, wetland distribution and potential erosion were combined in a multi-criteria analysis aiming to reduce the amount of sediment reaching selected wetlands. We achieved this by identifying the most suitable locations for the conservation and restoration of natural forests on slopes and in riparian areas, which may reduce the risk of soil erosion and maximise sediment filtering, respectively. The results show a network pattern for forest management that would allow for controlling erosion effects across space and time at three levels: one, by reducing the load that originates upslope in the absence of forest cover; two, by intersecting runoff at watercourses related to sediment transport; and three, by a lack of former barriers, by trapping erosion near to the receiving wetland systems, main river axes and contributing streams. In conclusion, the proposed methodology, which could be transferred to other mountain regions, allows to optimise investment for erosion prevention and wetland conservation by using only very specific areas of the landscape for habitat management (e.g., for NBS implementation).
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Wang H, Wang WJ, Wang L, Ma S, Liu Z, Zhang W, Zou Y, Jiang M. Impacts of Future Climate and Land Use/Cover Changes on Water-Related Ecosystem Services in Changbai Mountains, Northeast China. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.854497] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Sustaining ecosystem services in alpine regions is a pressing global challenge given future accelerating environmental changes. Understanding how future climate change and land use/cover change (LUCC) drive ecosystem service will be important in this challenge. However, few studies have considered the combined effects of future climate change and LUCC on ecosystem services. We assessed water yield and soil retention services and their drivers in the Changbai mountains region (CBMR) from the 2020 to 2050s using the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model and factor control experiments. Water yield decreased by 2.80% and soil retention increased by 6.14% over the 30 years. Climate change decreased water yield and increased soil retention, while LUCC decreased both water yield and soil retention. The interactive effects between climate change and LUCC had relatively small inhibitory effects on water yield and large facilitation effects on soil retention. Changes in water yield were mainly attributed to climate change, while soil retention was largely influenced by interaction. Our study highlights the individual and interactive contributions of future climate change and land use to ecosystem service in the mountains region, which can provide important information for informed future land management and policy making for sustaining diverse ecosystem services.
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Schiavon E, Taramelli A, Tornato A, Pierangeli F. Monitoring environmental and climate goals for European agriculture: User perspectives on the optimization of the Copernicus evolution offer. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 296:113121. [PMID: 34217939 DOI: 10.1016/j.jenvman.2021.113121] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 06/16/2021] [Accepted: 06/17/2021] [Indexed: 06/13/2023]
Abstract
A vicious cycle exists between agricultural production and climate change, where agriculture is both a driver and a victim of the changing climate. While new and ambitious environmental and climate change-oriented goals are being introduced in Europe, the monitoring of these objectives is often jeopardized by a lack of technological means and a reliance on heavy administrative procedures. In particular, remote sensing technologies have the potential to significantly improve the monitoring of such goals but the characteristics of such missions should take into consideration the needs of users to guarantee return on investments and effective policy implementation. This study aims at identifying gaps in the current offer of Copernicus products for the monitoring of the agricultural sector through the elicitation of stakeholder requirements. The methodology is applied to the case study of Italy while the approach is scalable at European level. The elicitation process associates user needs to the European and national legislative framework to create a policy-oriented demand of Copernicus Earth Observation services. Results show the limitations faced by environmental managers in relation to the use of Remote Sensing technologies and the shortcomings associated with a purely technology driven approach to the development of satellite missions. Through the introduction of this flexible and user centred approach instead, this paper provides a clear overview of agro-environmental user requirements and represents the basis for the definition of an integrated agricultural service.
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Affiliation(s)
- Emma Schiavon
- Istituto Universitario di Studi Superiori di Pavia (IUSS), Palazzo del Broletto, Piazza della Vittoria 15, 27100, Pavia, Italy.
| | - Andrea Taramelli
- Istituto Universitario di Studi Superiori di Pavia (IUSS), Palazzo del Broletto, Piazza della Vittoria 15, 27100, Pavia, Italy; Institute for Environmental Protection and Research (ISPRA), via Vitaliano Brancati 48, 00144, Roma, Italy.
| | - Antonella Tornato
- Institute for Environmental Protection and Research (ISPRA), via Vitaliano Brancati 48, 00144, Roma, Italy.
| | - Fabio Pierangeli
- Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Via Po, 14, 00198, Roma, Italy.
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15
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Stritih A, Bebi P, Rossi C, Grêt-Regamey A. Addressing disturbance risk to mountain forest ecosystem services. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 296:113188. [PMID: 34225045 DOI: 10.1016/j.jenvman.2021.113188] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 06/14/2021] [Accepted: 06/28/2021] [Indexed: 06/13/2023]
Abstract
Ecosystem service (ES) mapping has been developed with the aim of supporting ecosystem management, but ES maps often lack information about uncertainty and risk, which is essential for decision-making. In this paper, we use a risk-based approach to map ES in mountain forests, which are experiencing an increasing rate of natural disturbances, such as windthrow, bark beetle outbreaks, and forest fires. These disturbances affect the capacity of forests to provide essential ecosystem services, such as protection from natural hazards, wood production, and carbon sequestration, thus posing a challenge for forest management. At the same time, disturbances may also have a positive effect on certain services, e.g. by improving habitats for species that rely on dead wood. We integrate forests' susceptibility to natural disturbances into probabilistic Bayesian Network models of a set of ES (avalanche protection, carbon sequestration, recreation, habitats, and wood production), which combine information from remote sensing, social media and in-situ data, existing process-based models, and local expert knowledge. We use these models to map the level of the services and the associated uncertainties under scenarios with and without natural disturbances in two case study areas in the Swiss Alps. We use clustering to identify bundles of risk to ES, and compare the patterns of risk between the non-protected area of Davos and the strictly protected area of the Swiss National park with its surroundings. The spatially heterogeneous pattern of risk to ES reflects topographic variability and the forest characteristics that drive disturbance susceptibility, but also the demand for ecosystem services. In the landscape of Davos, the most relevant risks to ES are related to decreases in the protection against avalanches and carbon sequestration, as well as some risk to wood production and recreation. In the strictly protected Swiss National Park, the overall level of ES risk is lower, with an increase in habitat quality under the disturbance scenario. This risk-based approach can help identify stands with high levels of ES that are particularly susceptible to disturbances, as well as forests with a more stable ES provision, which can help define priorities in forest management planning.
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Affiliation(s)
- Ana Stritih
- ETH Zurich, Institute for Landscape and Spatial Development, Planning of Landscape and Urban Systems (PLUS), Stefano-Franscini Platz 5, 8093, Zürich, Switzerland; WSL Institute for Snow and Avalanche Research SLF, Flüelastrasse 11, 7260, Davos Dorf, Switzerland.
| | - Peter Bebi
- WSL Institute for Snow and Avalanche Research SLF, Flüelastrasse 11, 7260, Davos Dorf, Switzerland
| | - Christian Rossi
- Department of Geoinformation, Swiss National Park, Runatsch 124-Chastè, Planta-Wildenberg, 7530, Zernez, Switzerland; Remote Sensing Laboratories, Dept. of Geography, University of Zürich, Winterthurerstrasse 190, 8057, Zürich, Switzerland
| | - Adrienne Grêt-Regamey
- ETH Zurich, Institute for Landscape and Spatial Development, Planning of Landscape and Urban Systems (PLUS), Stefano-Franscini Platz 5, 8093, Zürich, Switzerland
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16
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Predicting cell phone adoption metrics using machine learning and satellite imagery. TELEMATICS AND INFORMATICS 2021. [DOI: 10.1016/j.tele.2021.101622] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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17
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Earth Observation for Monitoring, Reporting, and Verification within Environmental Land Management Policy. SUSTAINABILITY 2021. [DOI: 10.3390/su13169105] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The main aim of the new agricultural scheme, Environmental Land Management, in England is to reward landowners based on their provision of ‘public goods’ while achieving the goals of the 25 Year Environment Plan and commitment to net zero emission by 2050. Earth Observation (EO) satellites appear to offer an unprecedented opportunity in the process of monitoring, reporting, and verification (MRV) of this scheme. In this study, we worked with ecologists to determine the habitat–species relationships for five wildlife species in the Surrey Hills ‘Area of Outstanding Natural Beauty’ (AONB), and this information was used to examine the extent to which EO satellite imagery, particularly very high resolution (VHR) imagery, could be used for habitat assessment, via visual interpretation and automated methods. We show that EO satellite products at 10 m resolution and other geospatial datasets enabled the identification and location of broadly suitable habitat for these species and the use of VHR imagery (at 1–4 m spatial resolution) allowed valuable insights for remote assessment of habitat qualities and quantity. Hence, at a fine scale, we obtained additional habitats such as scrub, hedges, field margins, woodland and tree characteristics, and agricultural practices that offer an effective source of information for sustainable land management. The opportunities and limitations of this study are discussed, and we conclude that there is considerable scope for it to offer valuable information for land management decision-making and as support and evidence for MRV for incentive schemes.
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18
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Ecosystem Services Assessment, Trade-Off, and Bundles in the Yellow River Basin, China. DIVERSITY 2021. [DOI: 10.3390/d13070308] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Understanding ecosystem services(ESs)and their interactions will help to formulate effective and sustainable land use management plans, and clarifying the balance and synergy between watershed ecosystem services can provide a basis for the regulation of the ecological environment in different regions of the watershed and the maximization of overall ecological benefits. This paper takes the Yellow River Basin as the research object and uses the Ecosystem Services and Trade Offs (InVEST)model to evaluate the water yield (WY), soil conservation (SC), carbon storage (CS) and habitat quality (HQ) of the Yellow River Basin. The paper adopts the Carnegie-Ames-Stanford Approach (CASA)model to evaluate the net primary productivity (NPP), draws the spatial distribution map of the five ecosystems, analyzes the trade-off and synergy between the five ecosystems using correlation and binary spatial correlation, and expresses it in space. In addition, it adopts self-organizing mapping (SOM) method to identify ecosystem service clusters. The results show that: (1) ES is generally higher in the upper reaches of the Yellow River, and lower in the middle reaches. (2) WY and NPP, HQ, CS and WY are trade-off relationships, and other ecosystem services are synergistic relationships. Trade-offs and synergy show obvious spatial heterogeneity. (3) The ecosystem services of the Yellow River Basin, driven by different factors, can be divided into three areas, namely WY and SC service leading functional areas, HQ and CS service leading functional areas, and NPP service leading functional areas. Finally, it discusses the driving factors of the spatial heterogeneity of the balance of the ecosystem service functions of the Yellow River Basin and the suggestions of land use management in the basin.
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19
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del Río-Mena T, Willemen L, Vrieling A, Snoeys A, Nelson A. Long-term assessment of ecosystem services at ecological restoration sites using Landsat time series. PLoS One 2021; 16:e0243020. [PMID: 34161335 PMCID: PMC8221468 DOI: 10.1371/journal.pone.0243020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 04/28/2021] [Indexed: 11/18/2022] Open
Abstract
Reversing ecological degradation through restoration activities is a key societal challenge of the upcoming decade. However, lack of evidence on the effectiveness of restoration interventions leads to inconsistent, delayed, or poorly informed statements of success, hindering the wise allocation of resources, representing a missed opportunity to learn from previous experiences. This study contributes to a better understanding of spatial and temporal dynamics of ecosystem services at ecological restoration sites. We developed a method using Landsat satellite images combined with a Before-After-Control-Impact (BACI) design, and applied this to an arid rural landscape, the Baviaanskloof in South Africa. Since 1990, various restoration projects have been implemented to halt and reverse degradation. We applied the BACI approach at pixel-level comparing the conditions of each intervened pixel (impact) with 20 similar control pixels. By evaluating the conditions before and after the restoration intervention, we assessed the effectiveness of long-term restoration interventions distinguishing their impact from environmental temporal changes. The BACI approach was implemented with Landsat images that cover a 30-year period at a spatial resolution of 30 meter. We evaluated the impact of three interventions (revegetation, livestock exclusion, and the combination of both) on three ecosystem services; forage provision, erosion prevention, and presence of iconic vegetation. We also evaluated whether terrain characteristics could partially explain the variation in impact of interventions. The resulting maps showed spatial patterns of positive and negative effects of interventions on ecosystem services. Intervention effectiveness differed across vegetation conditions, terrain aspect, and soil parent material. Our method allows for spatially explicit quantification of the long-term restoration impact on ecosystem service supply, and for the detailed visualization of impact across an area. This pixel-level analysis is specifically suited for heterogeneous landscapes, where restoration impact not only varies between but also within restoration sites.
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Affiliation(s)
- Trinidad del Río-Mena
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands
- * E-mail: ,
| | - Louise Willemen
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands
| | - Anton Vrieling
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands
| | | | - Andy Nelson
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands
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20
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Firkowski CR, Schwantes AM, Fortin MJ, Gonzalez A. Monitoring social–ecological networks for biodiversity and ecosystem services in human-dominated landscapes. Facets (Ott) 2021. [DOI: 10.1139/facets-2020-0114] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
The demand the human population is placing on the environment has triggered accelerated rates of biodiversity change and created trade-offs among the ecosystem services we depend upon. Decisions designed to reverse these trends require the best possible information obtained by monitoring ecological and social dimensions of change. Here, we conceptualize a network framework to monitor change in social–ecological systems. We contextualize our framework within Ostrom’s social–ecological system framework and use it to discuss the challenges of monitoring biodiversity and ecosystem services across spatial and temporal scales. We propose that spatially explicit multilayer and multiscale monitoring can help estimate the range of variability seen in social–ecological systems with varying levels of human modification across the landscape. We illustrate our framework using a conceptual case study on the ecosystem service of maple syrup production. We argue for the use of analytical tools capable of integrating qualitative and quantitative knowledge of social–ecological systems to provide a causal understanding of change across a network. Altogether, our conceptual framework provides a foundation for establishing monitoring systems. Operationalizing our framework will allow for the detection of ecosystem service change and assessment of its drivers across several scales, informing the long-term sustainability of biodiversity and ecosystem services.
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Affiliation(s)
- Carina Rauen Firkowski
- Department of Biology, McGill University, Montreal, QC H3A 1B1, Canada
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON M5S 3B2, Canada
| | - Amanda M. Schwantes
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON M5S 3B2, Canada
| | - Marie-Josée Fortin
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON M5S 3B2, Canada
| | - Andrew Gonzalez
- Department of Biology, McGill University, Montreal, QC H3A 1B1, Canada
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21
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Impacts of Land-Use Change on Ecosystem Service Value of Mountain–Oasis–Desert Ecosystem: A Case Study of Kaidu–Kongque River Basin, Northwest China. SUSTAINABILITY 2020. [DOI: 10.3390/su13010140] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
In this study, we used long time series Landsat data and ecosystem services coefficients for global and Chinese ecosystems during 1978–2018 to estimate the influences of land-use change on ecosystem services (ES) in Kaidu–Kongque River Basin (KKRB), where both socioeconomic progress and the arid, fragile natural environment have considerable affected land-use change. The results showed that (1) the total value of ES in the KKRB was about USD 8111.5, 7995.31, 8275.74, 8131.91, and 8016.38 million in 1978, 1988, 1998, 2008, and 2018, respectively. The net ecosystem service value (ESV) loss was about USD 116.19 million for 1978–1988, the net ESV profit was about USD 280.43 million for 1988–1998, and the net ESV loss was about USD 259.36 million for 1998–2018. (2) Water supply and waste treatment function were the top two ecological functions with high service value; their combined contribution rate was 59.3%, indicating that the regulating service function in this study area is higher than the provision services function. (3) The high to low ranking for each ecosystem function based on their contribution rate to overall ES value was water supply > waste treatment > climate regulation > biodiversity protection > recreation and culture > soil formation > gas regulation > food production > raw material. These results are significant for the continuation of the integrity and sustainability of the mountain–oasis–desert region ecosystem, where socioeconomic progress and the fragile characteristics of the natural ecosystem complement each other. The results of this study provide scientific evidence for governmental decision makers and local residents and offer a reference for environmental researchers in northwest China.
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22
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Mitchell MGE, Chan KMA, Newlands NK, Ramankutty N. Spatial Correlations Don't Predict Changes in Agricultural Ecosystem Services: A Canada-Wide Case Study. FRONTIERS IN SUSTAINABLE FOOD SYSTEMS 2020. [DOI: 10.3389/fsufs.2020.539892] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Improving the management of multiple ecosystem services (e.g., food provision, water and air quality regulation, carbon storage, and erosion control) in agricultural landscapes is a critical challenge to improve food system sustainability. However, we currently lack spatially-resolved national-level assessments of the relationships among services in agricultural landscapes over time. This limits our ability to make decisions and predict how environmental changes or agricultural management actions will impact multiple services. How do multiple ecosystem services vary across both space and time, at regional-to-national scales? To address this question, we quantified eight indicators of four ecosystem services across 290 Canadian agricultural landscapes in 1996, 2001, and 2006. We observed consistent correlations between pairs of services across the 290 ecodistricts in each of the 3 years of our study. In particular, ecodistricts with high livestock production had low provision of most regulating services, while ecodistricts with high air quality (ammonia retention) also had high soil and water quality regulation services. However, these ‘snapshot’ correlations poorly predicted how pairs of services changed through time. Ecosystem service change from 1996–2001 to 2001–2006 (as measured by pairwise correlations) showed markedly different patterns than snapshot correlations. In particular, where livestock production increased between years, so did most regulating services. Ecosystem service bundles also showed similar divergent patterns. The distribution of ecosystem service “snapshot” bundles—sets of ecodistricts with similar levels of provision across multiple ecosystem services in a single year—was generally stable between 1996 and 2006; only 15% of ecodistricts changed bundle types in this time period. However, ecosystem service “change” bundles—sets of ecodistricts with similar changes in ecosystem service provision through time—were much more dynamic. Nearly 60% of ecodistricts exhibited a different set of ecosystem service changes from 2001 to 2006 compared to 1996 to 2001. Our results add to the growing evidence that relationships between services across space do not necessarily predict service change through time. Improved understanding of the spatial patterns and temporal dynamics of ecosystem services, and better understanding of underlying processes, is crucial to improve agricultural landscape management for multifunctionality and sustainability.
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23
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National Scale Land Cover Classification for Ecosystem Services Mapping and Assessment, Using Multitemporal Copernicus EO Data and Google Earth Engine. REMOTE SENSING 2020. [DOI: 10.3390/rs12203303] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Land-Use/Land-Cover (LULC) products are a common source of information and a key input for spatially explicit models of ecosystem service (ES) supply and demand. Global, continental, and regional, readily available, and free land-cover products generated through Earth Observation (EO) data, can be potentially used as relevant to ES mapping and assessment processes from regional to national scales. However, several limitations exist in these products, highlighting the need for timely land-cover extraction on demand, that could replace or complement existing products. This study focuses on the development of a classification workflow for fine-scale, object-based land cover mapping, employed on terrestrial ES mapping, within the Greek terrestrial territory. The processing was implemented in the Google Earth Engine cloud computing environment using 10 m spatial resolution Sentinel-1 and Sentinel-2 data. Furthermore, the relevance of different training data extraction strategies and temporal EO information for increasing the classification accuracy was also evaluated. The different classification schemes demonstrated differences in overall accuracy ranging from 0.88% to 4.94% with the most accurate classification scheme being the manual sampling/monthly feature classification achieving a 79.55% overall accuracy. The classification results suggest that existing LULC data must be cautiously considered for automated extraction of training samples, in the case of new supervised land cover classifications aiming also to discern complex vegetation classes. The code used in this study is available on GitHub and runs on the Google Earth Engine web platform.
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24
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McClure EC, Sievers M, Brown CJ, Buelow CA, Ditria EM, Hayes MA, Pearson RM, Tulloch VJD, Unsworth RKF, Connolly RM. Artificial Intelligence Meets Citizen Science to Supercharge Ecological Monitoring. PATTERNS 2020; 1:100109. [PMID: 33205139 PMCID: PMC7660425 DOI: 10.1016/j.patter.2020.100109] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The development and uptake of citizen science and artificial intelligence (AI) techniques for ecological monitoring is increasing rapidly. Citizen science and AI allow scientists to create and process larger volumes of data than possible with conventional methods. However, managers of large ecological monitoring projects have little guidance on whether citizen science, AI, or both, best suit their resource capacity and objectives. To highlight the benefits of integrating the two techniques and guide future implementation by managers, we explore the opportunities, challenges, and complementarities of using citizen science and AI for ecological monitoring. We identify project attributes to consider when implementing these techniques and suggest that financial resources, engagement, participant training, technical expertise, and subject charisma and identification are important project considerations. Ultimately, we highlight that integration can supercharge outcomes for ecological monitoring, enhancing cost-efficiency, accuracy, and multi-sector engagement. Citizen science and artificial intelligence (AI) are often used in isolation for ecological monitoring, but their integration likely has emergent benefits for management and scientific inquiry. We explore the complementarity of citizen science and AI for ecological monitoring, highlighting key opportunities and challenges. We show that strategic integration of citizen science and AI can improve outcomes for conservation activities. For example, coupling the public engagement benefits of citizen science with the advanced analytical capabilities of AI can increase multi-stakeholder accord on issues of public and scientific interest. Furthermore, both techniques speed up data collection and processing compared with conventional scientific techniques, suggesting that their integration can fast-track monitoring and conservation actions. We present key project attributes that will assist project managers in prioritizing the resources needed to implement citizen science, AI, or preferably both.
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Affiliation(s)
- Eva C McClure
- Australian Rivers Institute - Coast and Estuaries, School of Environment and Science, Griffith University, Gold Coast, QLD 4222, Australia
| | - Michael Sievers
- Australian Rivers Institute - Coast and Estuaries, School of Environment and Science, Griffith University, Gold Coast, QLD 4222, Australia
| | - Christopher J Brown
- Australian Rivers Institute - Coast and Estuaries, School of Environment and Science, Griffith University, Nathan, QLD 4111, Australia
| | - Christina A Buelow
- Australian Rivers Institute - Coast and Estuaries, School of Environment and Science, Griffith University, Gold Coast, QLD 4222, Australia
| | - Ellen M Ditria
- Australian Rivers Institute - Coast and Estuaries, School of Environment and Science, Griffith University, Gold Coast, QLD 4222, Australia
| | - Matthew A Hayes
- Australian Rivers Institute - Coast and Estuaries, School of Environment and Science, Griffith University, Gold Coast, QLD 4222, Australia
| | - Ryan M Pearson
- Australian Rivers Institute - Coast and Estuaries, School of Environment and Science, Griffith University, Gold Coast, QLD 4222, Australia
| | - Vivitskaia J D Tulloch
- Department of Forest and Conservation Science, University of British Columbia, Vancouver, BC, Canada
| | - Richard K F Unsworth
- Seagrass Ecosystem Research Group, College of Science, Swansea University, Swansea SA2 8PP, UK
| | - Rod M Connolly
- Australian Rivers Institute - Coast and Estuaries, School of Environment and Science, Griffith University, Gold Coast, QLD 4222, Australia
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25
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Villarreal-Rosas J, Sonter LJ, Runting RK, López-Cubillos S, Dade MC, Possingham HP, Rhodes JR. Advancing Systematic Conservation Planning for Ecosystem Services. Trends Ecol Evol 2020; 35:1129-1139. [PMID: 32977982 DOI: 10.1016/j.tree.2020.08.016] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 08/20/2020] [Accepted: 08/26/2020] [Indexed: 11/17/2022]
Abstract
Conservation and sustainable management activities are critical for enhancing ecosystem services. Systematic conservation planning (SCP) is a spatial decision support process used to identify the most cost-effective places for intervention and is increasingly incorporating ecosystem services thinking. Yet, there is no clear guidance on how to incorporate ecosystem service components (i.e., supply, demand, and flow) for multiple beneficiaries into the decision problem underpinning SCP. As such, conservation plans may fall short of maximizing benefits for both people and nature. We propose a benefit-based approach to integrate ecosystem service components into SCP that uses the principles of decision theory. Our approach will improve the likelihood that ecosystem service benefits are enhanced in spatial planning applications.
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Affiliation(s)
- Jaramar Villarreal-Rosas
- School of Earth and Environmental Sciences, The University of Queensland, Brisbane, QLD 4067, Australia; Centre for Biodiversity and Conservation Science, The University of Queensland, Brisbane, QLD 4067, Australia.
| | - Laura J Sonter
- School of Earth and Environmental Sciences, The University of Queensland, Brisbane, QLD 4067, Australia; Centre for Biodiversity and Conservation Science, The University of Queensland, Brisbane, QLD 4067, Australia
| | - Rebecca K Runting
- School of Geography, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Sofía López-Cubillos
- School of Earth and Environmental Sciences, The University of Queensland, Brisbane, QLD 4067, Australia; Centre for Biodiversity and Conservation Science, The University of Queensland, Brisbane, QLD 4067, Australia
| | - Marie C Dade
- Department of Geography, McGill University, Montreal, Quebec H3A 0B9, Canada
| | - Hugh P Possingham
- Centre for Biodiversity and Conservation Science, The University of Queensland, Brisbane, QLD 4067, Australia; School of Biological Sciences, The University of Queensland, Brisbane, QLD 4067, Australia; The Nature Conservancy, 4245 North Fairfax Drive, Suite 100, Arlington, VA 22203-1606, USA
| | - Jonathan R Rhodes
- School of Earth and Environmental Sciences, The University of Queensland, Brisbane, QLD 4067, Australia; Centre for Biodiversity and Conservation Science, The University of Queensland, Brisbane, QLD 4067, Australia
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26
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An Integrated Approach of Multi-Community Monitoring and Assessment of Aquatic Ecosystems to Support Sustainable Development. SUSTAINABILITY 2020. [DOI: 10.3390/su12145603] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Aquatic ecosystems are one of the most threatened ecosystems in the world resulting in the decline of aquatic biodiversity. Monitoring and the assessment of aquatic ecosystems are necessary to protect and conserve these ecosystems as monitoring provides insights into the changes in the aquatic ecosystem over a long period of time and assessment indicates the status of these ecosystems. This paper presents an overview of different methods for the hydromorphological, physical–chemical and the biological monitoring and assessment of surface waters. Furthermore, recently developed monitoring and assessment methods are discussed to support sustainable water management and contribute to the implementation of the Sustainable Development Goals 6 (SDG6 related to clean water and sanitation) and 15 (SDG15 related to terrestrial and freshwater systems) of the United Nations. However, many other SDGs are dependent on freshwater, such as food (e.g., SDG2) and climate-related SDGs. We presented an innovative concept for integrated monitoring and assessment. The main new elements are the monitoring of all communities and the use of integrated socio-environmental models to link these communities to ecosystem interactions and functions as a basis for determining their relation to the SDGs. Models can also allow to determine the effects of changes in SDGs on the different elements of the concept, and serve in this manner as tools for the selection of an optimal balance between the SDGs in the context of sustainable development.
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27
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Cochran F, Daniel J, Jackson L, Neale A. Earth Observation-Based Ecosystem Services Indicators for National and Subnational Reporting of the Sustainable Development Goals. REMOTE SENSING OF ENVIRONMENT 2020; 244:1-111796. [PMID: 32665744 PMCID: PMC7359875 DOI: 10.1016/j.rse.2020.111796] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Decision-making that impacts sustainability occurs at national and subnational levels, highlighting the need for multi-scale Earth observations (EO) and geospatial data for assessing the United Nations' Sustainable Development Goals (SDGs). EnviroAtlas, developed by the United States Environmental Protection Agency and partners, provides a collection of web-based, interactive maps of environmental and socio-economic data relevant to the SDGs. EnviroAtlas maps ecosystem services indicators at national, regional, and local extents that can contribute to targets set forth in numerous goals, such as SDG 6 for clean water, SDG 11 for sustainable cities and communities, and SDG 15 for life on land. Examples of EnviroAtlas indicators that provide a way to view spatial inequalities, help fill gaps in environmental indicators, and integrate socio-economic and environmental data for the SDGs are explored herein. Remotely sensed EO data are essential for producing these indicators and informing planning and decision-making for the SDGs at subnational scales. The National Land Cover Dataset is the basis for many EnviroAtlas maps at the national extent, while National Agriculture Imagery Program and Light Detection and Ranging (LiDAR) data are used to classify Meter-scale Urban Land Cover in select US metro areas. These 30 meter and 1 meter land cover products are combined with demographic and other geospatial data (remotely sensed and otherwise) to produce integrated indicators that can aid in target setting of the SDGs. Though EnviroAtlas was created for the conterminous US, the methods for indicator creation are transferable, and the open-source code for the EnviroAtlas resource may serve as an example for other nations. Achieving the SDGs means assessing targets and decision-making outcomes at local, regional, and national levels using consistent and accurate data. Geospatial resources like EnviroAtlas that provide open access to indicators based on EO data and allow for assessment at multiple extents and resolutions are critical to broadly addressing national to subnational SDG goals and targets.
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Affiliation(s)
- Ferdouz Cochran
- Oak Ridge Institute for Science and Education, hosted by the US Environmental Protection Agency, Research Triangle Park, NC 27709, USA
| | - Jessica Daniel
- US Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC 27709, USA
| | - Laura Jackson
- US Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC 27709, USA
| | - Anne Neale
- US Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC 27709, USA
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Whelan MJ, Ramos A, Villa R, Guymer I, Jefferson B, Rayner M. A new conceptual model of pesticide transfers from agricultural land to surface waters with a specific focus on metaldehyde. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2020; 22:956-972. [PMID: 32043103 DOI: 10.1039/c9em00492k] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Pesticide losses from agricultural land to water can result in the environmental deterioration of receiving systems. Mathematical models can make important contributions to risk assessments and catchment management. However, some mechanistic models have high parameter requirements which can make them difficult to apply in data poor areas. In addition, uncertainties in pesticide properties and applications are difficult to account for using models with long run-times. Alternative, simpler, conceptual models are easier to apply and can still be used as a framework for process interpretation. Here, we present a new conceptual model of pesticide behaviour in surface water catchments, based on continuous water balance calculations. Pesticide losses to surface waters are calculated based on the displacement of a limited fraction of the soil pore water during storm events occurring after application. The model was used to describe the behaviour of metaldehyde in a small (2.2 km2) under-drained catchment in Eastern England. Metaldehyde is a molluscicide which has been regularly detected at high concentrations in many drinking water supply catchments. Measured peak concentrations in stream water (to about 9 μg L-1) occurred in the first few storm events after application in mid-August. In each event, there was a quasi-exponential decrease in concentration during hydrograph recession. Peak concentrations decreased in successive events - responding to rainfall but reflecting an effective exhaustion in soil supply due to degradation and dissipation. Uncertain pesticide applications to the catchment were estimated using land cover analysis of satellite data, combined with a Poisson distribution to describe the timing of application. Model performance for both the hydrograph (after calibration of the water balance) and the chemograph was good and could be improved via some minor adjustments in assumptions which yield general insights into the drivers for pesticide transport. The use of remote sensing offers some promising opportunities for estimating catchment-scale pesticide applications and associated losses.
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Affiliation(s)
- M J Whelan
- Centre for Landscape & Climate Research, School of Geography, Geology and the Environment, University of Leicester, UK.
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29
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Monitoring Plant Functional Diversity Using the Reflectance and Echo from Space. REMOTE SENSING 2020. [DOI: 10.3390/rs12081248] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Plant functional diversity (FD) is an important component of biodiversity. Evidence shows that FD strongly determines ecosystem functioning and stability and also regulates various ecosystem services that underpin human well-being. Given the importance of FD, it is critical to monitor its variations in an explicit manner across space and time, a highly demanding task that cannot be resolved solely by field data. Today, high hopes are placed on satellite-based observations to complement field plot data. The promise is that multiscale monitoring of plant FD, ecosystem functioning, and their services is now possible at global scales in near real-time. However, non-trivial scale challenges remain to be overcome before plant ecology can capitalize on the latest advances in Earth Observation (EO). Here, we articulate the existing scale challenges in linking field and satellite data and further elaborated in detail how to address these challenges via the latest innovations in optical and radar sensor technologies and image analysis algorithms. Addressing these challenges not only requires novel remote sensing theories and algorithms but also urges more effective communication between remote sensing scientists and field ecologists to foster mutual understanding of the existing challenges. Only through a collaborative approach can we achieve the global plant functional diversity monitoring goal.
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Li Z, Deng X, Jin G, Mohmmed A, Arowolo AO. Tradeoffs between agricultural production and ecosystem services: A case study in Zhangye, Northwest China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 707:136032. [PMID: 31972910 DOI: 10.1016/j.scitotenv.2019.136032] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 12/05/2019] [Accepted: 12/08/2019] [Indexed: 06/10/2023]
Abstract
Humans have increasingly intervened in the nature to advance socioeconomic development at the expense of ecosystem services. Tradeoffs between ecosystem services and socioeconomic development are inevitable and should be considered in sustainable ecosystem management. This is no exception in Zhangye where intensive agricultural activities have significantly affected its ecological conditions. Thus, this study evaluated the tradeoffs between agricultural production and key ecosystem services along with their spatial distributions at the watershed level in Zhangye based on multisource observation data. The key ecosystem services, including net primary productivity (NPP), water yield, and soil conservation, were evaluated for the years 2000, 2010, and 2015 using remote sensing data and the InVEST model. The Morishima elasticity of substitution (MES) between these ecosystem services and agricultural production were then estimated by applying a quadratic directional output distance function, and mapped to determine the tradeoffs. The results showed that the average NPP and annual water yield respectively increased by 22% and 24%, while annual soil conservation decreased by 22% during 2000-2015. The average MES values for agricultural production with NPP, water yield, and soil conservation were 0.14, -0.69, and -0.56, respectively. This indicated the existence of a synergetic relationship between agricultural production and NPP as well as tradeoff relationships between agricultural production and water yield/soil conservation. Differences in the spatial patterns of the relationships between agricultural production and these ecosystem services were observed. Significant tradeoff relationships were observed for agricultural production with water yield and soil conservation in the upper reach of Zhangye. It indicated that increasing agricultural production would be at the cost of decreased water yield and soil conservation, especially in the upper reach area. The quantification and spatial pattern determinations of tradeoffs between ecosystem services and agricultural production is useful for the development of regional ecological conservation policy and sustainable ecosystem management.
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Affiliation(s)
- Zhihui Li
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Center for Chinese Agricultural Policy, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100149, China
| | - Xiangzheng Deng
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Center for Chinese Agricultural Policy, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100149, China.
| | - Gui Jin
- College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China
| | - Alnail Mohmmed
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Center for Chinese Agricultural Policy, Chinese Academy of Sciences, Beijing 100101, China
| | - Aisha Olushola Arowolo
- Department of Agricultural Economics and Farm Management, Federal University of Agriculture Abeokuta (FUNAAB), Ogun State, Nigeria
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31
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Understanding Intra-Annual Dynamics of Ecosystem Services Using Satellite Image Time Series. REMOTE SENSING 2020. [DOI: 10.3390/rs12040710] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Landscape processes fluctuate over time, influencing the intra-annual dynamics of ecosystem services. However, current ecosystem service assessments generally do not account for such changes. This study argues that information on the dynamics of ecosystem services is essential for understanding and monitoring the impact of land management. We studied two regulating ecosystem services (i. erosion prevention, ii. regulation of water flows) and two provisioning services (iii. provision of forage, iv. biomass for essential oil production) in thicket vegetation and agricultural fields in the Baviaanskloof, South Africa. Using models based on Sentinel-2 data, calibrated with field measurements, we estimated the monthly supply of ecosystem services and assessed their intra-annual variability within vegetation cover types. We illustrated how the dynamic supply of ecosystem services related to temporal variations in their demand. We also found large spatial variability of the ecosystem service supply within a single vegetation cover type. In contrast to thicket vegetation, agricultural land showed larger temporal and spatial variability in the ecosystem service supply due to the effect of more intensive management. Knowledge of intra-annual dynamics is essential to jointly assess the temporal variation of supply and demand throughout the year to evaluate if the provision of ecosystem services occurs when most needed.
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32
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Temporal Patterns in Illumination Conditions and Its Effect on Vegetation Indices Using Landsat on Google Earth Engine. REMOTE SENSING 2020. [DOI: 10.3390/rs12020211] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Vegetation indices (VI) describe vegetation structure and functioning but they are affected by illumination conditions (IC). Moreover, the fact that the effect of the IC on VI can be stronger than other biophysical or seasonal processes is under debate. Using Google Earth Engine and the latest Landsat Surface Reflectance level 1 data, we evaluated the temporal patterns of IC and two VI, the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI) in a mountainous tropical forest during the years 1984–2017. We evaluated IC and VI at different times, their relationship with the topography and the correlations between them. We show that IC is useful for understanding the patterns of variation between VI and IC at the pixel level using Landsat sensors. Our findings confirmed a strong correlation between EVI and IC and less between NDVI and IC. We found a significant increase in IC, EVI, and NDVI throughout time due to an improvement in the position of all Landsat sensors. Our results reinforce the need to consider IC to interpret VI over long periods using Landsat data in order to increase the precision of monitoring VI in irregular topography.
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Abstract
Interdisciplinary science and international policy collaborate to stem inequities
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Affiliation(s)
- Patricia Balvanera
- Instituto de Investigaciones en Ecosistemas y Sustentabilidad, Universidad Nacional Autónoma de México Apdo. Postal 27-3, Sta. Ma. De Guido, Morelia, Michoacán 58090, Mexico.
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Iravani M, White SR, Farr DR, Habib TJ, Kariyeva J, Faramarzi M. Assessing the provision of carbon-related ecosystem services across a range of temperate grassland systems in western Canada. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 680:151-168. [PMID: 31103894 DOI: 10.1016/j.scitotenv.2019.05.083] [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: 01/09/2019] [Revised: 05/07/2019] [Accepted: 05/07/2019] [Indexed: 06/09/2023]
Abstract
Reliable data on the provision of ecosystem services (ES) is essential to the design and implementation of policies that incorporate ES into grassland conservation and restoration. We developed and applied an innovative approach for regional parameterization, and calibration of the CENTURY ecosystem model. We quantified spatiotemporal variation of soil organic carbon stock (SOC) and aboveground plant biomass production (AGB) and examined their responses to the recent climate change across a diverse range of native grassland systems in Alberta, western Canada. The simultaneous integration of SOC and AGB into calibration and analysis accounted for most of the spatiotemporal variability in the SOC and AGB measurements and resulted in reduced simulation uncertainty across nine grassland regions. These findings suggest the importance of the systematic parameterization and calibration for the reliable assessment of carbon-related ES across a wide geographic area with heterogeneous ecological conditions. Simulation results showed a pronounced variation in the spatial distribution of SOC and AGB and their associated uncertainty across grassland regions. Under baseline grazing intensity regime, an overall negative effect of recent climatic changes on the SOC, and a less consistent effect on the AGB were found. While, an overall positive or slightly negative impact of recent climate change on the SOC and AGB was found under a proposed 10% lower grazing intensity regime. These heterogeneities in the magnitude and direction of climate change effects under different grazing regimes suggest needs for a range of climate change adaptation strategies to maintain carbon-related ES in Alberta's grasslands. The modeling framework developed in this study can be used to improve the spatially explicit assessment of carbon-related ES in other geographically vast grassland areas and examine the effectiveness of alternative management scenarios to ensure the long-term provision of carbon-related ES in grassland systems.
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Affiliation(s)
- Majid Iravani
- Alberta Biodiversity Monitoring Institute, Department of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada; Watershed Science and Modelling Laboratory, Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Alberta T6G 2E3, Canada.
| | - Shannon R White
- Alberta Biodiversity Monitoring Institute, Department of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - Daniel R Farr
- Environmental Monitoring and Science Division, Government of Alberta, Edmonton, Alberta T5J 5C6, Canada
| | - Thomas J Habib
- Alberta Biodiversity Monitoring Institute, Department of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - Jahan Kariyeva
- Alberta Biodiversity Monitoring Institute, Department of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - Monireh Faramarzi
- Watershed Science and Modelling Laboratory, Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Alberta T6G 2E3, Canada
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35
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Climatic and socioeconomic effects on land cover changes across Europe: Does protected area designation matter? PLoS One 2019; 14:e0219374. [PMID: 31314769 PMCID: PMC6636817 DOI: 10.1371/journal.pone.0219374] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2019] [Accepted: 06/22/2019] [Indexed: 11/19/2022] Open
Abstract
Land cover change is a dynamic phenomenon driven by synergetic biophysical and socioeconomic effects. It involves massive transitions from natural to less natural habitats and thereby threatens ecosystems and the services they provide. To retain intact ecosystems and reduce land cover change to a minimum of natural transition processes, a dense network of protected areas has been established across Europe. However, even protected areas and in particular the zones around protected areas have been shown to undergo land cover changes. The aim of our study was to compare land cover changes in protected areas, non-protected areas, and 1 km buffer zones around protected areas and analyse their relationship to climatic and socioeconomic factors across Europe between 2000 and 2012 based on earth observation data. We investigated land cover flows describing major change processes: urbanisation, afforestation, deforestation, intensification of agriculture, extensification of agriculture, and formation of water bodies. Based on boosted regression trees, we modelled correlations between land cover flows and climatic and socioeconomic factors. The results show that land cover changes were most frequent in 1 km buffer zones around protected areas (3.0% of all buffer areas affected). Overall, land cover changes within protected areas were less frequent than outside, although they still amounted to 18,800 km2 (1.5% of all protected areas) from 2000 to 2012. In some parts of Europe, urbanisation and intensification of agriculture still accounted for up to 25% of land cover changes within protected areas. Modelling revealed meaningful relationships between land cover changes and a combination of influencing factors. Demographic factors (accessibility to cities and population density) were most important for coarse-scale patterns of land cover changes, whereas fine-scale patterns were most related to longitude (representing the general east/west economic gradient) and latitude (representing the north/south climatic gradient).
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36
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Braun D, de Jong R, Schaepman ME, Furrer R, Hein L, Kienast F, Damm A. Ecosystem service change caused by climatological and non-climatological drivers: a Swiss case study. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2019; 29:e01901. [PMID: 30980439 DOI: 10.1002/eap.1901] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 02/13/2019] [Accepted: 02/25/2019] [Indexed: 06/09/2023]
Abstract
Understanding the drivers of ecosystem change and their effects on ecosystem services are essential for management decisions and verification of progress towards national and international sustainability policies (e.g., Aichi Biodiversity Targets, Sustainable Development Goals). We aim to disentangle spatially the effect of climatological and non-climatological drivers on ecosystem service supply and trends. Therefore, we explored time series of three ecosystem services in Switzerland between 2004 and 2014: carbon dioxide regulation, soil erosion prevention, and air quality regulation. We applied additive models to describe the spatial variation attributed to climatological (i.e., temperature, precipitation and relative sunshine duration) and non-climatological drivers (i.e., random effects representing other spatially structured processes) that may affect ecosystem service change. Obtained results indicated strong influences of climatological drivers on ecosystem service trends in Switzerland. We identified equal contributions of all three climatological drivers on trends of carbon dioxide regulation and soil erosion prevention, while air quality regulation was more strongly influenced by temperature. Additionally, our results showed that climatological and non-climatological drivers affected ecosystem services both negatively and positively, depending on the regions (in particular lower and higher altitudinal areas), drivers, and services assessed. Our findings highlight stronger effects of climatological compared to non-climatological drivers on ecosystem service change in Switzerland. Furthermore, drivers of ecosystem change display a spatial heterogeneity in their influence on ecosystem service trends. We propose an approach building on an additive model to disentangle the effect of climatological and non-climatological drivers on ecosystem service trends. Such analyses should be extended in the future to ecosystem service flow and demand to complete ecosystem service assessments and to demonstrate and communicate more clearly the benefits of ecosystem services for human well-being.
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Affiliation(s)
- Daniela Braun
- Department of Geography, Remote Sensing Laboratories, University of Zurich, Winterthurerstrasse 190, Zurich, 8057, Switzerland
| | - Rogier de Jong
- Department of Geography, Remote Sensing Laboratories, University of Zurich, Winterthurerstrasse 190, Zurich, 8057, Switzerland
| | - Michael E Schaepman
- Department of Geography, Remote Sensing Laboratories, University of Zurich, Winterthurerstrasse 190, Zurich, 8057, Switzerland
| | - Reinhard Furrer
- Departments of Mathematics and Computational Science, University of Zurich, Winterthurerstrasse 190, Zurich, 8057, Switzerland
| | - Lars Hein
- Environmental Systems Analysis Group, Wageningen University, PO Box 47, Wageningen, 6700, The Netherlands
| | - Felix Kienast
- Swiss Federal Research Institute WSL, Birmensdorf, 8903, Switzerland
| | - Alexander Damm
- Department of Geography, Remote Sensing Laboratories, University of Zurich, Winterthurerstrasse 190, Zurich, 8057, Switzerland
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, 8600, Switzerland
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Ramirez-Reyes C, Brauman KA, Chaplin-Kramer R, Galford GL, Adamo SB, Anderson CB, Anderson C, Allington GRH, Bagstad KJ, Coe MT, Cord AF, Dee LE, Gould RK, Jain M, Kowal VA, Muller-Karger FE, Norriss J, Potapov P, Qiu J, Rieb JT, Robinson BE, Samberg LH, Singh N, Szeto SH, Voigt B, Watson K, Wright TM. Reimagining the potential of Earth observations for ecosystem service assessments. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 665:1053-1063. [PMID: 30893737 DOI: 10.1016/j.scitotenv.2019.02.150] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 01/22/2019] [Accepted: 02/09/2019] [Indexed: 06/09/2023]
Abstract
The benefits nature provides to people, called ecosystem services, are increasingly recognized and accounted for in assessments of infrastructure development, agricultural management, conservation prioritization, and sustainable sourcing. These assessments are often limited by data, however, a gap with tremendous potential to be filled through Earth observations (EO), which produce a variety of data across spatial and temporal extents and resolutions. Despite widespread recognition of this potential, in practice few ecosystem service studies use EO. Here, we identify challenges and opportunities to using EO in ecosystem service modeling and assessment. Some challenges are technical, related to data awareness, processing, and access. These challenges require systematic investment in model platforms and data management. Other challenges are more conceptual but still systemic; they are byproducts of the structure of existing ecosystem service models and addressing them requires scientific investment in solutions and tools applicable to a wide range of models and approaches. We also highlight new ways in which EO can be leveraged for ecosystem service assessments, identifying promising new areas of research. More widespread use of EO for ecosystem service assessment will only be achieved if all of these types of challenges are addressed. This will require non-traditional funding and partnering opportunities from private and public agencies to promote data exploration, sharing, and archiving. Investing in this integration will be reflected in better and more accurate ecosystem service assessments worldwide.
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Affiliation(s)
- Carlos Ramirez-Reyes
- Institute on the Environment, University of Minnesota, 325 Learning & Environmental Sciences, 1954 Buford Avenue, St. Paul, MN 55108, USA.
| | - Kate A Brauman
- Institute on the Environment, University of Minnesota, 325 Learning & Environmental Sciences, 1954 Buford Avenue, St. Paul, MN 55108, USA.
| | - Rebecca Chaplin-Kramer
- Natural Capital Project, Stanford University Woods Institute for the Environment, 371 Serra Mall, Stanford, CA 94305, USA.
| | - Gillian L Galford
- Gund Institute for Environment and Rubenstein School of Environment and Natural Resources, University of Vermont, 617 Main Street, Burlington, VT 05405, USA.
| | - Susana B Adamo
- Center for International Earth Science Information Network (CIESIN), The Earth Institute, Columbia University, 61 Route 9W, Palisades, NY 10964, USA.
| | | | - Clarissa Anderson
- Scripps Institution of Oceanography, 8880 Biological Grade, La Jolla, CA 92093, USA.
| | - Ginger R H Allington
- Department of Geography, The George Washington University, 2121 Eye Street NW, Washington, DC 20052, USA.
| | - Kenneth J Bagstad
- U.S. Geological Survey, Geosciences & Environmental Change Science Center, P.O. Box 25046, DFC, MS 980, Denver, CO 80225, USA.
| | - Michael T Coe
- The Woods Hole Research Center, 149 Woods Hole Rd, Falmouth, MA 02540, USA.
| | - Anna F Cord
- UFZ - Helmholtz Centre for Environmental Research, Department of Computational Landscape Ecology, Permoserstraße 15, 04318 Leipzig, Germany.
| | - Laura E Dee
- Department of Fisheries, Wildlife, and Conservation Biology, University of Minnesota, Twin Cities, 2003 Upper Buford Circle St. Paul, MN 55108, USA.
| | - Rachelle K Gould
- Environmental Program and Rubenstein School of Environment and Natural Resources, University of Vermont, 81 Carrigan Drive, Burlington, VT, 05405, USA.
| | - Meha Jain
- School for Environment and Sustainability, University of Michigan, 440 Church Street, Ann Arbor, MI 48109, USA.
| | - Virginia A Kowal
- Natural Capital Project, Stanford University Woods Institute for the Environment, 371 Serra Mall, Stanford, CA 94305, USA.
| | - Frank E Muller-Karger
- College of Marine Science, University of South Florida, Saint Petersburg, FL 33701, USA.
| | - Jessica Norriss
- Upstream Tech, 2401 Monarch St # 23, Alameda, CA 94501, USA.
| | - Peter Potapov
- University of Maryland, 4321 Hartwick Road, Suite 400, College Park, MD 20740, USA.
| | - Jiangxiao Qiu
- University of Florida, School of Forest Resources and Conservation, Fort Lauderdale Research and Education Center, 3205 College Ave, Davie, FL 33314, USA.
| | - Jesse T Rieb
- Department of Natural Resource Sciences, McGill University, 21111 Lakeshore Road, Ste-Anne-de-Bellevue, QC H9X 3V9, Canada.
| | - Brian E Robinson
- Department of Geography, McGill University, 805 Sherbrooke Street West, Montreal, QC H3A 0B9, Canada.
| | - Leah H Samberg
- Institute on the Environment, University of Minnesota, 325 Learning & Environmental Sciences, 1954 Buford Avenue, St. Paul, MN 55108, USA; Rainforest Alliance, 233 Broadway, New York, NY, 10279, USA.
| | - Nagendra Singh
- National Security Emerging Technologies Division, Oak Ridge National Laboratory, P.O. Box 2008, MS6017, Oak Ridge, TN 37831-6017, USA.
| | - Sabrina H Szeto
- Yale School of Forestry & Environmental Studies, Yale University, 195 Prospect St, New Haven, CT 06511, USA.
| | - Brian Voigt
- Gund Institute for Environment and Rubenstein School of Environment and Natural Resources, University of Vermont, 617 Main Street, Burlington, VT 05405, USA.
| | - Keri Watson
- Sewanee, University of the South, 735 University Avenue, Sewanee, TN 37383, USA.
| | - T Maxwell Wright
- Conservation International, 2011 Crystal Drive, Suite 500, Arlington, VA 22202, USA.
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Urban Ecosystem Services Quantification through Remote Sensing Approach: A Systematic Review. ENVIRONMENTS 2019. [DOI: 10.3390/environments6050051] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Urban ecosystem services (UES) is an essential approach to the development of sustainable cities and must be incorporated into urban planning to be able to improve humans’ life quality. This paper aimed to identify remote sensing (RS) data/techniques used in the literature in five years (2013–2017) for UES investigation and to analyze the similarity between them. For this purpose, we used the Scopus database of scientific journals, and a set of appropriate filters were applied. A total of 44 studies were selected, being 93.18% of them located in the Northern Hemisphere, mostly in Europe. The most common dataset used was the secondary data, followed by the Landsat family products. Land use and land cover (LULC) was the most common approach utilized, succeeded by radiometric indexes and band related. All four main classes (provision, regulation, supporting, and cultural) of ecosystem services (ES) were identified in the reviewed papers, wherein regulating services were the most popular modality mentioned. Seven different groups were established as having 100% of similarity between methods and ES results. Therefore, RS is identified in the literature as an important technique to reach this goal. However, we highlight the lack of studies in the southern hemisphere.
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Ecosystem Services in a Protected Mountain Range of Portugal: Satellite-Based Products for State and Trend Analysis. REMOTE SENSING 2018. [DOI: 10.3390/rs10101573] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Mountains are facing strong environmental pressures, which may jeopardize the supply of various ecosystem services. For sustainable land management, ecosystem services and their supporting functions should thus be evaluated and monitored. Satellite products have been receiving growing attention for monitoring ecosystem functioning, mainly due to their increasing temporal and spatial resolutions. Here, we aim to illustrate the high potential of satellite products, combined with ancillary in situ and statistical data, to monitor the current state and trend of ecosystem services in the Peneda-Gerês National Park, a protected mountain range in Portugal located in a transition climatic zone (Atlantic to Mediterranean). We focused on three ecosystem services belonging to three broad categories: provisioning (reared animals), regulating (of water flows), and cultural (conservation of an endemic and iconic species). These services were evaluated using a set of different satellite products, namely grassland cover, soil moisture, and ecosystem functional attributes. In situ and statistical data were also used to compute final indicators of ecosystem services. We found a decline in the provision of reared animals since year 2000, although the area of grasslands had remained stable. The regulation of water flows had been maintained, and a strong relationship with interannual precipitation pattern was noted. In the same period, conservation of the focal iconic species might have been affected by interannual fluctuations of suitable habitat areas, with a possible influence of wildfires and precipitation. We conclude that satellite products can efficiently provide information about the current state and trend in the supply of various categories of ecosystem services, especially when combined with in situ or statistical data in robust modeling frameworks.
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Martinez-Harms MJ, Bryan BA, Wood SA, Fisher DM, Law E, Rhodes JR, Dobbs C, Biggs D, Wilson KA. Inequality in access to cultural ecosystem services from protected areas in the Chilean biodiversity hotspot. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 636:1128-1138. [PMID: 29913575 DOI: 10.1016/j.scitotenv.2018.04.353] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Revised: 04/12/2018] [Accepted: 04/25/2018] [Indexed: 05/05/2023]
Abstract
Experiences with nature through visits to protected areas provide important cultural ecosystem services that have the potential to strengthen pro-environmental attitudes and behavior. Understanding accessibility to protected areas and likely preferences for enjoying the benefits of nature visits are key factors in identifying ways to reduce inequality in access and inform the planning and management for future protected areas. We develop, at a regional scale, a novel social media database of visits to public protected areas in part of the Chilean biodiversity hotspot using geotagged photographs and assess the inequality of access using the home locations of the visitors and socio-economic data. We find that 20% of the population of the region make 87% of the visits to protected areas. The larger, more biodiverse protected areas were the most visited and provided most cultural ecosystem services. Wealthier people tend to travel further to visit protected areas while people with lower incomes tend to visit protected areas that are closer to home. By providing information on the current spatial flows of people to protected areas, we demonstrate the need to expand the protected area network, especially in lower income areas, to reduce inequality in access to the benefits from cultural ecosystem services provided by nature to people.
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Affiliation(s)
- Maria Jose Martinez-Harms
- School of Biological Sciences, The University of Queensland, St. Lucia, QLD 4072, Australia; ARC Centre of Excellence for Environmental Decisions, The University of Queensland, St. Lucia, QLD 4072, Australia.
| | - Brett A Bryan
- Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, Melbourne Burwood Campus, 221 Burwood Hwy, Burwood, Vic 3125, Australia.
| | - Spencer A Wood
- School of Environmental and Forest Sciences, University of Washington, Seattle, WA, USA; Woods Institute for the Environment, Stanford University, Stanford, CA, USA.
| | - David M Fisher
- Woods Institute for the Environment, Stanford University, Stanford, CA, USA.
| | - Elizabeth Law
- School of Biological Sciences, The University of Queensland, St. Lucia, QLD 4072, Australia; ARC Centre of Excellence for Environmental Decisions, The University of Queensland, St. Lucia, QLD 4072, Australia.
| | - Jonathan R Rhodes
- ARC Centre of Excellence for Environmental Decisions, The University of Queensland, St. Lucia, QLD 4072, Australia; School of Earth and Environmental Sciences, The University of Queensland, Saint Lucia, Queensland 4072, Australia.
| | - Cynnamon Dobbs
- Departamento de Medio Ambiente y Ecosistemas, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Duan Biggs
- ARC Centre of Excellence for Environmental Decisions, The University of Queensland, St. Lucia, QLD 4072, Australia; Environmental Futures Research Institute, Griffith University, Nathan, Queensland 4111, Australia; Department of Conservation Ecology and Entomology, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa.
| | - Kerrie A Wilson
- School of Biological Sciences, The University of Queensland, St. Lucia, QLD 4072, Australia; ARC Centre of Excellence for Environmental Decisions, The University of Queensland, St. Lucia, QLD 4072, Australia.
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Nahuelhual L, Benra F, Laterra P, Marin S, Arriagada R, Jullian C. Patterns of ecosystem services supply across farm properties: Implications for ecosystem services-based policy incentives. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 634:941-950. [PMID: 29660888 DOI: 10.1016/j.scitotenv.2018.04.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Revised: 04/04/2018] [Accepted: 04/04/2018] [Indexed: 06/08/2023]
Abstract
In developing countries, the protection of biodiversity and ecosystem services (ES) rests on the hands of millions of small landowners that coexist with large properties, in a reality of highly unequal land distribution. Guiding the effective allocation of ES-based incentives in such contexts requires researchers and practitioners to tackle a largely overlooked question: for a given targeted area, will single large farms or several small ones provide the most ES supply? The answer to this question has important implications for conservation planning and rural development alike, which transcend efficiency to involve equity issues. We address this question by proposing and testing ES supply-area relations (ESSARs) around three basic hypothesized models, characterized by constant (model 1), increasing (model 2), and decreasing increments (model 3) of ES supply per unit of area or ES "productivity". Data to explore ESSARs came from 3384 private landholdings located in southern Chile ranging from 0.5ha to over 30,000ha and indicators of four ES (forage, timber, recreation opportunities, and water supply). Forage provision best fit model 3, which suggests that targeting several small farms to provide this ES should be a preferred choice, as compared to a single large farm. Timber provision best fit model 2, suggesting that in this case targeting a single large farm would be a more effective choice. Recreation opportunities best fit model 1, which indicates that several small or a single large farm of a comparable size would be equally effective in delivering this ES. Water provision fit model 1 or model 2 depending on the study site. The results corroborate that ES provision is not independent from property area and therefore understanding ESSARs is a necessary condition for setting conservation incentives that are both efficient (deliver the highest conservation outcome at the least cost) and fair for landowners.
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Affiliation(s)
- Laura Nahuelhual
- Instituto de Economía Agraria, Universidad Austral de Chile, Independencia 631, 5110566 Valdivia, Chile; Centro de Investigación en Dinámica de Ecosistemas Marinos de Altas Latitudes (IDEAL); Universidad Austral de Chile, Independencia 631, 5110566 Valdivia, Chile.
| | - Felipe Benra
- Instituto de Economía Agraria, Universidad Austral de Chile, Independencia 631, 5110566 Valdivia, Chile
| | - Pedro Laterra
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Fundación Bariloche, Av. Bustillo 9500, 8400 San Carlos de Bariloche, Argentina
| | - Sandra Marin
- Centro de Investigación en Dinámica de Ecosistemas Marinos de Altas Latitudes (IDEAL); Universidad Austral de Chile, Independencia 631, 5110566 Valdivia, Chile; Instituto de Acuicultura, Universidad Austral de Chile Sede Puerto Montt, Los Pinos s/n Balneario Pelluco, 5480000 Puerto Montt, Chile
| | - Rodrigo Arriagada
- Departamento de Ecosistemas y Medioambiente, Pontificia Universidad Católica de Chile, Avenida Vicuña Mackenna 4860, 7820436 Macul, Santiago, Chile; Núcleo Milenio Centro para el Impacto Socioeconómico de Políticas Ambientales (CESIEP); Pontificia Universidad Católica de Chile, Avenida Vicuña Mackenna 4860, 7820436 Macul, Santiago, Chile; Center for Applied Ecology and Sustainability (CAPES), Pontificia Universidad Católica de Chile, Alameda 340, 8331150 Santiago, Chile
| | - Cristobal Jullian
- Programa de Magister en Ciencias Forestales Mención Bosques y Sociedad, Facultad de Ciencias Forestales y Recursos Naturales, Universidad Austral de Chile, Independencia 631, 5110566 Valdivia, Chile
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Rieb JT, Chaplin-Kramer R, Daily GC, Armsworth PR, Böhning-Gaese K, Bonn A, Cumming GS, Eigenbrod F, Grimm V, Jackson BM, Marques A, Pattanayak SK, Pereira HM, Peterson GD, Ricketts TH, Robinson BE, Schröter M, Schulte LA, Seppelt R, Turner MG, Bennett EM. Response to Kabisch and Colleagues. Bioscience 2018. [DOI: 10.1093/biosci/bix154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Jesse T Rieb
- Department of Natural Resource Sciences, and EMB is affiliated with the McGill School of Environment, at McGill University, in Ste-Anne-de-Bellevue, Quebec, Canada
| | - Rebecca Chaplin-Kramer
- Natural Capital Project at Stanford University, in Stanford, California; GCD is also affiliated with the Department of Biology and the Woods Institute for the Environment at Stanford University
| | - Gretchen C Daily
- Natural Capital Project at Stanford University, in Stanford, California; GCD is also affiliated with the Department of Biology and the Woods Institute for the Environment at Stanford University
| | - Paul R Armsworth
- Department of Ecology and Evolutionary Biology at the University of Tennessee, Knoxville
| | - Katrin Böhning-Gaese
- Senckenberg Biodiversity and Climate Research Centre, in Frankfurt (Main), Germany, and the Institute for Ecology, Evolution, and Diversity at Goethe University Frankfurt
| | - Aletta Bonn
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, in Germany
- Institute of Ecology at Friedrich Schiller University Jena, in Germany
| | - Graeme S Cumming
- ARC Centre of Excellence in Coral Reef Studies at James Cook University, in Townsville, Queensland, Australia
| | - Felix Eigenbrod
- Geography and Environment and the Centre for Biological Sciences at the University of Southampton, in Southampton, United Kingdom
| | - Volker Grimm
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, in Germany
- Department of Ecological Modelling
| | - Bethanna M Jackson
- School of Geography at Victoria University of Wellington, in New Zealand
| | - Alexandra Marques
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, in Germany
- Institute of Biology
- Institute of Environmental Sciences (CML) at Leiden University, in The Netherlands
| | - Subhrendu K Pattanayak
- Sanford School of Public Policy, the Duke Global Health Institute, and the Nicholas School of the Environment at Duke University, in Durham, North Carolina
| | - Henrique M Pereira
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, in Germany
- School of Geography at Victoria University of Wellington, in New Zealand
| | | | - Taylor H Ricketts
- Gund Institute for Ecological Economics and the Rubenstein School of Environment and Natural Resources at the University of Vermont, in Burlington
| | - Brian E Robinson
- Department of Geography at McGill University, in Montreal, Quebec, Canada
| | - Matthias Schröter
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, in Germany
- Department of Ecosystem Services
| | - Lisa A Schulte
- Department of Natural Resource Ecology and Management at Iowa State University, in Ames
| | - Ralf Seppelt
- Department of Computational Landscape Ecology at UFZ–Helmholtz Centre for Environmental Research, in Leipzig
- Institute of Geoscience and Geography, at Martin Luther University Halle-Wittenberg, in Halle (Saale), Germany
| | - Monica G Turner
- Department of Zoology at the University of Wisconsin–Madison
| | - Elena M Bennett
- Department of Natural Resource Sciences, and EMB is affiliated with the McGill School of Environment, at McGill University, in Ste-Anne-de-Bellevue, Quebec, Canada
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Haase P, Tonkin JD, Stoll S, Burkhard B, Frenzel M, Geijzendorffer IR, Häuser C, Klotz S, Kühn I, McDowell WH, Mirtl M, Müller F, Musche M, Penner J, Zacharias S, Schmeller DS. The next generation of site-based long-term ecological monitoring: Linking essential biodiversity variables and ecosystem integrity. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 613-614:1376-1384. [PMID: 29898505 DOI: 10.1016/j.scitotenv.2017.08.111] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Global change effects on biodiversity and human wellbeing call for improved long-term environmental data as a basis for science, policy and decision making, including increased interoperability, multifunctionality, and harmonization. Based on the example of two global initiatives, the International Long-Term Ecological Research (ILTER) network and the Group on Earth Observations Biodiversity Observation Network (GEO BON), we propose merging the frameworks behind these initiatives, namely ecosystem integrity and essential biodiversity variables, to serve as an improved guideline for future site-based long-term research and monitoring in terrestrial, freshwater and coastal ecosystems. We derive a list of specific recommendations of what and how to measure at a monitoring site and call for an integration of sites into co-located site networks across individual monitoring initiatives, and centered on ecosystems. This facilitates the generation of linked comprehensive ecosystem monitoring data, supports synergies in the use of costly infrastructures, fosters cross-initiative research and provides a template for collaboration beyond the ILTER and GEO BON communities.
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Affiliation(s)
- Peter Haase
- Senckenberg Research Institute and Natural History Museum Frankfurt, Department of River Ecology and Conservation, Clamecystr. 12, D-63571 Gelnhausen, Germany; University of Duisburg-Essen, Department of River and Floodplain Ecology, Faculty of Biology, Universitätsstr. 5, D-45141 Essen, Germany.
| | - Jonathan D Tonkin
- Senckenberg Research Institute and Natural History Museum Frankfurt, Department of River Ecology and Conservation, Clamecystr. 12, D-63571 Gelnhausen, Germany; Department of Integrative Biology, Oregon State University, Corvallis, OR 97331, USA
| | - Stefan Stoll
- Senckenberg Research Institute and Natural History Museum Frankfurt, Department of River Ecology and Conservation, Clamecystr. 12, D-63571 Gelnhausen, Germany; University of Applied Sciences Trier, Environmental Campus Birkenfeld, Post Box 1380, 55761 Birkenfeld, Germany
| | - Benjamin Burkhard
- Institute of Physical Geography and Landscape Ecology, Leibniz Universität Hannover, Schneiderberg 50, D-30167 Hannover, Germany; Leibniz Centre for Agricultural Landscape Research ZALF, Eberswalder Straße 84, D-15374 Müncheberg, Germany
| | - Mark Frenzel
- Helmholtz Centre for Environmental Research - UFZ, Department of Community Ecology, Theodor-Lieser-Str. 4, D-06120 Halle, Germany
| | - Ilse R Geijzendorffer
- Tour du Valat, Research Institute for the conservation of Mediterranean Wetlands, Le Sambuc, 13200 Arles, France; Institut Méditerranéen de Biodiversité et d'Ecologie marine et continentale (IMBE), Aix Marseille Université, CNRS, IRD, Avignon Université, Technopôle Arbois-Méditerranée Bât. Villemin - BP 80, F-13545 Aix-en-Provence cedex 04, France
| | - Christoph Häuser
- Museum für Naturkunde - Leibniz Institute for Evolution and Biodiversity Science, Invalidenstr. 43, D-10115 Berlin, Germany
| | - Stefan Klotz
- Helmholtz Centre for Environmental Research - UFZ, Department of Community Ecology, Theodor-Lieser-Str. 4, D-06120 Halle, Germany; German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, 04103 Leipzig, Germany
| | - Ingolf Kühn
- Helmholtz Centre for Environmental Research - UFZ, Department of Community Ecology, Theodor-Lieser-Str. 4, D-06120 Halle, Germany
| | - William H McDowell
- Department of Natural Resources and the Environment, University of New Hampshire, Durham, NH 03824, USA
| | - Michael Mirtl
- Environment Agency Austria (Umweltbundesamt), Spittelauer Lände 5, A-1090 Wien, Austria
| | - Felix Müller
- Institute for Natural Resource Conservation, Kiel University, Olshausenstrasse 75, D-24118 Kiel, Germany
| | - Martin Musche
- Helmholtz Centre for Environmental Research - UFZ, Department of Community Ecology, Theodor-Lieser-Str. 4, D-06120 Halle, Germany
| | - Johannes Penner
- Museum für Naturkunde - Leibniz Institute for Evolution and Biodiversity Science, Invalidenstr. 43, D-10115 Berlin, Germany; University of Freiburg, Chair of Wildlife Ecology and Management, Tennenbacher Str. 4, 79106 Freiburg, Germany
| | - Steffen Zacharias
- Helmholtz Centre for Environmental Research UFZ, Department of Monitoring and Exploration Technologies, Permoserstraße 15, D-04318 Leipzig, Germany
| | - Dirk S Schmeller
- Helmholtz Centre for Environmental Research UFZ, Department of Conservation Biology, Permoserstraße 15, D-04318 Leipzig, Germany; ECOLAB, Université de Toulouse, CNRS, INPT, UPS, Toulouse, France
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Pettorelli N, Barlow J, Stephens PA, Durant SM, Connor B, Schulte to Bühne H, Sandom CJ, Wentworth J, du Toit JT. Making rewilding fit for policy. J Appl Ecol 2018. [DOI: 10.1111/1365-2664.13082] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
| | - Jos Barlow
- Lancaster Environment Centre; Lancaster University; Lancaster UK
| | - Philip A. Stephens
- Conservation Ecology Group; Department of Biosciences; Durham University; Durham UK
| | - Sarah M. Durant
- Institute of Zoology; Zoological Society of London; London UK
| | - Ben Connor
- British Ecological Society; Charles Darwin House; London UK
| | | | | | - Jonathan Wentworth
- Parliamentary Office of Science and Technology; Houses of Parliament; London UK
| | - Johan T. du Toit
- Department of Wildland Resources; Utah State University; Logan UT USA
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Variations of Ecosystem Service Value in Response to Land-Use Change in the Kashgar Region, Northwest China. SUSTAINABILITY 2018. [DOI: 10.3390/su10010200] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Increasing anthropogenic activities have significantly altered ecosystems in arid oasis regions. Estimating the impact on a wide range of ecosystem services is important for decision making and the sustainable development of these regions. This study analyzed time-series Landsat data to determine the influences of oasis land-use changes on the ecosystem services in the Kashgar region in Northwest China. The following results were found. The total value of the ecosystem services in the Kashgar region were approximately $10,845.3, $11,218.6, $10,291.7, and $10,127.3 million in 1986, 1996, 2005, and 2015, respectively. The water supply, waste treatment, biodiversity protection, and recreation and cultural services were the four ecosystem services with the highest service value, contributing 77.05% of the total ecosystem services. The combined contribution rate of food production and raw material value was only about 4.02%, relatively small. The sensitivity analysis indicated that the estimated total ecosystem service value (ESV) for this study area was relatively inelastic with respect to the value coefficients. The findings of this study will be crucial for maintaining the stability and sustainable development of the oasis region, where socio-economic development and the integrity of the natural ecosystem complement each other. Furthermore, the results provide a scientific basis for decision makers in land use management, and provide a reference for researchers in the Northwest China.
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Spectro-Temporal Heterogeneity Measures from Dense High Spatial Resolution Satellite Image Time Series: Application to Grassland Species Diversity Estimation. REMOTE SENSING 2017. [DOI: 10.3390/rs9100993] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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