Socio-ecological assessment of threats to semi-arid rangeland habitat in Iran using spatial models and actor group opinions
Introduction
Rangelands are ecosystems that provide habitat for both domesticated livestock and wildlife and other functions such as biomass production, water regulation and provision, and biodiversity (Havstad et al., 2007; Sliwinski et al., 2017). Many of these ecosystems and their beneficial functions have been historically degraded and are now under threat by other more modern socioeconomic and ecological factors of global concern (Harris, 2010). Rangeland degradation not only includes the loss of biodiversity, decreased primary productivity, decreased water quality, and lower livestock production (O'Connor and Crowe, 2005); but also the loss of other beneficial ecosystem functions referred to as Ecosystem Services and Goods (ESG; Havstad et al., 2007).
There is also a well-documented relationship between rangeland degradation and increased poverty (Bedunah and Angerer, 2012; Pinto et al., 2014). Similarly, semiarid rangeland habitat quality has historically - and currently - affected ESG provision and overall societal welfare in places such as Australia and North America (Havstad et al., 2007; Greiner et al., 2009; Brown and MacLeod, 2011; Alamgir et al., 2014). However, there are few studies from central Asia regarding historically degraded rangelands and how they have been directly and indirectly affected by conventional social and ecological (e.g., droughts, overgrazing and conflicts) and other more modern socio-economic factors (e.g, growing populations, food security and urbanization; Mofidi et al., 2013; Behmanesh et al., 2015; Farimani et al., 2017; McNeely, 2003; Bedunah and Angerer, 2012).
In the central Asian republic of Iran, semiarid rangelands – as opposed to those of Australia and North America - have experienced 1000s of years of livestock use, overgrazing, pastoral activity, and droughts (Vahidi et al., 2014). Agriculture has also been historically important in supplying key ESG to small and intermediate sized urban centers in Iran (Khorami and Pierof, 2013). More recently, Iran has experienced modern changes that have altered the type and intensity of these socio-ecological disturbances (Kazemipour and Mirzaie, 2005). According to the World Bank (2017), the percent of urban population alone in Iran during 1960–2016 increased from 34 to 74%. With increased population and globalization, demand from growing urban areas has transformed rural populations and ecosystems. Much of this change is due to the increased demand for energy resources, food, and other ESGs such as medicinal and industrial plants (Eriksen and Watson, 2009) and new markets for livestock production and handicrafts from pastoral communities (FAO, 2006).
These changes have prioritized rangeland ecosystem and habitat condition assessments for resource managers in order to restore degraded ecosystems and sustain the supply of ESGs (Thackway et al., 2006; Havstad et al., 2007). Jansen et al. (2004) defined ecosystem condition as, “The degree to which human-altered ecosystems diverge from local semi-natural ecosystems in their ability to support a community of organisms and perform ecological functions”. Accordingly, “habitat quality” is regularly used as a key indicator of ecosystem status and changes that result from human activities (Juan et al., 2011).
An ecosystem condition assessment measures the change or alteration of a given site relative to other reference sites (Zerger et al., 2008). These changes can be monitored and evaluated using biophysical attributes and metrics of the available biophysical resources required for survival, reproduction, and population persistence (Hall et al., 1997). In general, improved habitat quality is found in more “pristine” ecosystems relatively less affected by humans; conversely low habitat quality is often associated with increased anthropogenic activity (McKinney, 2002). However, measuring habitat quality using these definitions in data poor contexts is difficult (Gibson, 1994) and particularly in rangelands that have been overgrazed for millennia such as most semiarid rangelands in Iran (Mesdaghi, 1995). Determining habitat quality and land use activities in these socio-ecosystems is therefore necessary to ensure the stability and continued provision of semi-arid rangeland ESG in historically grazed areas (MA, 2005; Shoyama and Yamagata, 2014; Liao et al., 2013).
Poor management practices are also influential drives of rangeland degradation across the world (Harris, 2010; Petz et al., 2014; van Oudenhoven et al., 2015). Overgrazing, wildfire, and introduction and establishment of invasive species are causing changes in ecosystem structure and forage composition (Daryanto and Eldridge, 2010). But, with increased modernization, globalization, and population growth, there is a growing need for agricultural land, infrastructure, urban development, mining, logging, and water development and as such, these are now considered the main threats to habitats across the world (Wilcove et al., 1998). Overgrazing and drought have been identified and studied as the more conventional causes of degradation in Iran's rangelands (Foltz, 2002; Mesdaghi, 1995). However, Kyriazopoulos et al. (2013) found that urban development and wild fires are the greatest threats to Mediterranean rangelands based on citizen perception. But, there is little information regarding how these more modern social, ecological and economic factors (socio-ecological hereafter) are cumulatively affecting habitat quality and the supply of ESG in historically grazed, semiarid rangelands in Iran.
Rangeland ecosystems are socio-ecological systems that need to incorporate actors, their values and opinions as part of their management (Havstad et al., 2007). For more sustainable management of rangeland ecosystems, the social value that people assign to changing landscapes is a key component for environmental management and planning (Menzel and Teng, 2010). In North America and Australia, socio-cultural valuation is regularly used as part of quantifying and mapping the supply and demand for ESG from rangelands (Havstad et al., 2007; Alamgir et al., 2014).
Therefore, the aim of this study was to better understand how recent anthropogenic factors associated with globalization and urbanization could affect both habitat quality and biodiversity in historically grazed rangeland ecosystems in a representative basin in Iran. To do so, our objectives were three-fold. First, we used the Integrated Valuation of Ecosystem Service and Tradeoff (InVEST) model to map the effects of continued grazing, agricultural land conversion, mining-industrial activities, and roads on habitat quality. Second, we elicited opinions from local actor groups and expert land managers to determine which factors were the greatest threats to ecosystems and what the most beneficial ESGs and detrimental ecosystem disservices (EDs) were. Third, we integrated expert elicitations and the InVEST model to assess and map threat scenarios and their relative effects on habitat quality. We then discuss the opinions of the different actor groups in regards to ESGs, EDs and threats as a means to assess objectives one and two.
Section snippets
Study area
We studied a basin with centuries of historical grazing activity near Bardsir city in southeast Iran. The 3,941 km2 study area is a semiarid rangeland in the Kerman province (Fig. 1), located at 56° 4 12″ to 57° 0ˊ 7″ east longitude and 29° 23ˊ 26″ to 30° 9′ 11″north latitude. The region is characterized by a mean annual precipitation of 210 mm, most of which occurs in winter. The southern portion of the basin is characterized by upstream areas with elevations that range from 2300 to 4264 m
Spatial analyses and modeling of threats
Our linear grazing, agriculture, and industry models had lower AIC values, but the exponential model was the best for paved and dirt roads and mining. The maximum effective distance of threats was found to be 5.4 km for agriculture, 4.6 km for grazing, 2.5 km for paved roads and mining, 2.4 km for factories and 2.1 km for dirt roads (Table 1). Our expert elicitaiton findings in Table 1 using the AHP approach also show the weight, or the potential realtive impact, of each of the 6 threats on the
Discussion
Historic and modern anthropogenic activities have, and are still, affecting habitat quality in the Bardsir basin. Overall, our modeling with the InVEST model shows that habitat quality was significantly correlated with observed species diversity in the basin. In particular, habitat quality was low, species diversity declined, and threats increased in downstream areas of the basin where most human related activity occurs (Table 3). Such a loss in species diversity is an important indicator for
Conclusion
The approach we present above integrates range monitoring data, available geospatial data, the InVEST model and different actor group's opinions. Such an integrated approach could be used in resource and information scarce contexts to better identify and assess the threats of historical and modern disturbances to ecosystem structure and subsequent provision of ESG. Accounting for such context-relevant socio-ecological threats using participatory and spatial approaches in integrated management
References (74)
- et al.
Herbivore species and grazing intensity regulate community composition and an encroaching woody plant in semi-arid rangeland
Basic Appl. Ecol.
(2012) - et al.
Unstainable rangeland management using a multi-fuzzy model: how to deal with heterogeneous experts' knowledge
J. Environ. Manag.
(2007) - et al.
Rangeland degradation, poverty, and conflict: how can rangeland scientists contribute to effective responses and solutions?
Rangel. Ecol. Manag.
(2012) - et al.
Plant and soil surface responses to a combination of shrub removal and grazing in a shrub-encroached woodland
J. Environ. Manag.
(2010) - et al.
The dynamic context of southern African savannas: investigating emerging threats and opportunities to sustainability
Environ. Sci. Pol.
(2009) - et al.
Coping strategies during drought: the case of rangeland users in southwest Iran
Rangelands
(2017) - et al.
Can biodiversity monitoring schemes provide indicators for ecosystem services?
Ecol. Indicat.
(2013) Impact of habitat quality and quantity on the recruitment of Juvenile flatfishes
Neth. J. Sea Res.
(1994)Rangeland degradation on the Qinghai-Tibetan plateau: a review of the evidence of its magnitude and causes
J. Arid Environ.
(2010)- et al.
Ecological services to and from rangelands of the United States
Ecol. Econ.
(2007)
Sustainable rangeland management: pastoralists' attitudes toward integrated programs in Iran
J. Arid Environ.
Study on coastal wetland habitat quality evaluation in Quanzhou Bay, Fujian, China
Acta Ecol. Sin.
Facilitative effects of Aloe secundiflora shrubs in degraded semi-arid rangelands in Kenya
J. Arid Environ.
Threats to Mediterranean rangelands: a case study based on the views of citizens in the Viotia prefecture, Greece
J. Environ. Manag.
How to value biodiversity in environmental management?
Ecol. Indicat.
Species persistence in landscapes with spatial variation in habitat quality: a pair approximation model
J. Theor. Biol.
The future of urban agriculture and biodiversity-ecosystem services: challenges and next steps
Basic Appl. Ecol.
Effects of vegetation cover and road-concentrated flow on flllslope erosion in rainfall and scouring simulation tests in the three Gorges Reservoir area. China
Catena
Biodiversity in arid regions: values and perceptions
J. Arid Environ.
Modeling effects of conservation grassland losses on amphibian habitat
Biol. Conserv.
Land management implications for ecosystem services in a South African rangeland
Ecol. Indicat.
Linking biodiversity indicators, ecosystem functioning, provision of services and human well-being in estuarine systems: application of a conceptual framework
Ecol. Indicat.
Future scenarios of European agricultural land use II. Projecting changes in cropland and grassland
Agric. Ecosyst. Environ.
Predicting land use change for biodiversity conservation and climate change mitigation and its effect on ecosystem services in a watershed in Japan
Ecosyst. Serv.
Rangeland dynamics in southern Ethiopia: (1) Botanical composition of grasses and soil characteristics in relation to land-use and distance from water in semi-arid Borana rangelands
J. Environ. Manag.
Model development for the assessment of terrestrial and aquatic habitat quality in conservation planning
Sci. Total Environ.
Effects of different management regimes on soil erosion and surface runoff in semi-arid to sub-humid rangelands
J. Arid Environ.
Effects of urbanization on ecosystem service values in a mineral resource-based city
Habitat Int.
The grazing fingerprint: modelling species responses and trait patterns along grazing gradients in semi-arid Namibian rangelands
Ecol. Indicat.
Assessing highway's impacts on landscape patterns and ecosystem services: a case study in Puli Township, Taiwan
Landsc. Urban Plann.
Information theory as an extension of the maximum likelihood principle
A review of ecosystem services research in Australia reveals a gap in integrating climate change and impacts on ecosystem services
Int. J. Biodivers. Sci. Ecosyst. Serv. Manag.
Characteristics of Kerman Province from the Point of View of Country and Population Divisions in 2012
Rangeland degradation assessment: a new strategy based on indigenous ecological knowledge of pastoralists
Solid Earth Discuss.
Impacts of forest road on plant species diversity in a Hyrcanian forest, Iran
Croat. J. For. Eng.
A site-based approach to delivering rangeland ecosystem services
Rangel. J.
Roads, land use, and deforestation: a spatial model applied Belize
World Bank Econ. Rev.
Cited by (15)
Equivalent biodiversity area: A novel metric for No Net Loss success in Brazil's changing biomes
2024, Journal of Environmental ManagementA Herder's eye view: Traditional ecological knowledge based indicators for monitoring rangeland conditions in Thal, Pakistan
2022, Environmental DevelopmentCitation Excerpt :They examined a time series of satellite imagery to establish trends of pasture vegetation degradation and compared the measured trends with the local ecological knowledge about pasture vegetation. Similarly, researchers in Iran (Khosravi Mashizi and Escobedo, 2020) integrated remote sensing, Geographic Information System (GIS) and TEK led to effective monitoring of rangeland dynamics. These authors used InVEST, a spatially explicit ecosystem service model, and combined it with actor group opinions to assess threats to rangelands.
Ecological security assessment and pattern construction in arid and semi-arid areas: A case study of the Hexi Region, NW China
2022, Ecological IndicatorsCitation Excerpt :Therefore, it is very important to explore an evaluation method that can fully reflect regional ecological security beyond the index evaluation system. With the integration and development of geographic information technology and landscape ecology theories (Liu and Chang, 2015), land use/land cover (LULC)-based ecosystem assessment mapping has gradually become a research direction and focus due to its easy data acquisition and more intuitive spatial expression (Xu et al., 2014; Khosravi Mashizi and Escobedo, 2020; Jiao et al., 2021). LULC changes are closely related to the level of ecological security (Chai et al., 2017).
Spatial deconstruction and differentiation analysis of early warning for ecological security in the Pearl River Delta, China
2021, Sustainable Cities and SocietyCitation Excerpt :Habitat quality is an important representation of ecological security and the spatial response to human activities, and it has become an increasingly popular research hotspot in the field of ecological security (Bai, Xiu, Feng, & Liu, 2019; Fahrig, 2003; Hadley & Betts, 2016). The model uses land-use maps as input and reflects not only the response of different habitats to threats but also the interaction between threats (Khosravi Mashizi & Escobedo, 2020). Many scholars have used habitat quality assessment to classify ecological patches to construct ecological security pattern, and the important patches were selected as ecological patches with high habitat quality (Li et al., 2019; Li, Xiao, Zhao, & Lv, 2020; Lin, Mao, Wu, Li, & Yang, 2016; Peng, Pan, Liu, Zhao, & Wang, 2018).