Satellite Earth observation data to identify anthropogenic pressures in selected protected areas

被引:45
作者
Nagendra, Harini [1 ]
Mairota, Paola [2 ]
Marangi, Carmela [3 ]
Lucas, Richard [4 ]
Dimopoulos, Panayotis [5 ]
Honrado, Joao Pradinho [6 ,7 ]
Niphadkar, Madhura [1 ]
Mucher, Caspar A. [8 ]
Tomaselli, Valeria [9 ]
Panitsa, Maria [5 ]
Tarantino, Cristina [11 ]
Manakos, Ioannis [10 ]
Blonda, Palma [11 ]
机构
[1] ATREE, Bangalore 560064, Karnataka, India
[2] Univ Bari Aldo Moro, Dipartimento Sci Agroambientali & Territoriali, I-70126 Bari, Italy
[3] CNR, Ist Applicaz Calcolo, I-70126 Bari, Italy
[4] Univ New S Wales, Ctr Ecosyst Sci, Sch Biol Earth & Environm Sci, Kensington, NSW 2052, Australia
[5] Univ Patras, Dept Environm & Nat Resources Management, Agrinion 30100, Greece
[6] Univ Porto, CIBIO Ctr Invest Biodiversidade & Recursos Genet, P-4169007 Oporto, Portugal
[7] Univ Porto, Fac Ciencias, P-4169007 Oporto, Portugal
[8] Wageningen UR, Alterra, NL-6708 PB Wageningen, Netherlands
[9] CNR, IBBR, I-70126 Bari, Italy
[10] ITI, Ctr Res & Technol Hellas, Thessaloniki 57001, Greece
[11] CNR, Inst Intelligent Syst Automat ISSIA, I-70126 Bari, Italy
来源
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION | 2015年 / 37卷
基金
欧盟第七框架计划;
关键词
Biodiversity conservation; Earth observation; Changes in state; Protected areas; ECOSYSTEM SERVICES; SPECIES RICHNESS; BIODIVERSITY; CONSERVATION; IMAGERY; LIDAR; CLASSIFICATIONS; HETEROGENEITY; MANAGEMENT; PREDICTOR;
D O I
10.1016/j.jag.2014.10.010
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Protected areas are experiencing increased levels of human pressure. To enable appropriate conservation action, it is critical to map and monitor changes in the type and extent of land cover/use and habitat classes, which can be related to human pressures over time. Satellite Earth observation (EO) data and techniques offer the opportunity to detect such changes. Yet association with field information and expert interpretation by ecologists is required to interpret, qualify and link these changes to human pressure. There is thus an urgent need to harmonize the technical background of experts in the field of EO data analysis with the terminology of ecologists, protected area management authorities and policy makers in order to provide meaningful, context-specific value-added EO products. This paper builds on the DPSIR framework, providing a terminology to relate the concepts of state, pressures, and drivers with the application of EO analysis. The type of pressure can be inferred through the detection of changes in state (i.e. changes in land cover and/or habitat type and/or condition). Four broad categories of changes in state are identified, i.e. land cover/habitat conversion, land cover/habitat modification, habitat fragmentation and changes in landscape connectivity, and changes in plant community structure. These categories of change in state can be mapped through EO analyses, with the goal of using expert judgement to relate changes in state to causal direct anthropogenic pressures. Drawing on expert knowledge, a set of protected areas located in diverse socio-ecological contexts and subject to a variety of pressures are analysed to (a) link the four categories of changes in state of land cover/habitats to the drivers (anthropogenic pressure), as relevant to specific target land cover and habitat classes; (b) identify (for pressure mapping) the most appropriate spatial and temporal EO data sources as well as interpretations from ecologists and field data useful in connection with EO data analysis. We provide detailed examples for two protected areas, demonstrating the use of EO data for detection of land cover/habitat change, coupled with expert interpretation to relate such change to specific anthropogenic pressures. We conclude with a discussion of the limitations and feasibility of using EO data and techniques to identify anthropogenic pressures, suggesting additional research efforts required in this direction. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:124 / 132
页数:9
相关论文
共 46 条
[1]   Expert knowledge for translating land cover/use maps to General Habitat Categories (GHC) [J].
Adamo, Maria ;
Tarantino, Cristina ;
Tomaselli, Valeria ;
Kosmidou, Vasiliki ;
Petrou, Zisis ;
Manakos, Ioannis ;
Lucas, Richard M. ;
Mucher, Caspar A. ;
Veronico, Giuseppe ;
Marangi, Carmela ;
De Pasquale, Vito ;
Blonda, Palma .
LANDSCAPE ECOLOGY, 2014, 29 (06) :1045-1067
[2]   Mapping Urban Tree Species Using Very High Resolution Satellite Imagery: Comparing Pixel-Based and Object-Based Approaches [J].
Agarwal, Shivani ;
Vailshery, Lionel Sujay ;
Jaganmohan, Madhumitha ;
Nagendra, Harini .
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2013, 2 (01) :220-236
[3]  
Allard A, 2003, AMBIO, V32, P510
[4]  
[Anonymous], 1995, Europe's environment: The Dobris Assessment
[5]  
[Anonymous], SPATIAL DATA METHODS
[6]   A Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images [J].
Bruzzone, Lorenzo ;
Bovolo, Francesca .
PROCEEDINGS OF THE IEEE, 2013, 101 (03) :609-630
[7]   Using remote sensing to inform conservation status assessment: Estimates of recent deforestation rates on New Britain and the impacts upon endemic birds [J].
Buchanan, Graeme M. ;
Butchart, Stuart H. M. ;
Dutson, Guy ;
Pilgrim, John D. ;
Steininger, Marc K. ;
Bishop, K. David ;
Mayaux, Philippe .
BIOLOGICAL CONSERVATION, 2008, 141 (01) :56-66
[8]   The significance of habitats as indicators of biodiversity and their links to species [J].
Bunce, R. G. H. ;
Bogers, M. M. B. ;
Evans, D. ;
Halada, L. ;
Jongman, R. H. G. ;
Mucher, C. A. ;
Bauch, B. ;
de Blust, G. ;
Parr, T. W. ;
Olsvig-Whittaker, L. .
ECOLOGICAL INDICATORS, 2013, 33 :19-25
[9]   Object-based change detection [J].
Chen, Gang ;
Hay, Geoffrey J. ;
Carvalho, Luis M. T. ;
Wulder, Michael A. .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2012, 33 (14) :4434-4457
[10]   Multi-scale environmental heterogeneity as a predictor of plant species richness [J].
Costanza, Jennifer K. ;
Moody, Aaron ;
Peet, Robert K. .
LANDSCAPE ECOLOGY, 2011, 26 (06) :851-864