As the pressures on water resources are ever increasing, the organization of complex disparate data and scientific information to inform the actions to protect and enhance the resilience of freshwater resources is key for sustainable development and implementation of integrated water resource management (IWRM). Methodologies supporting IWRM implementation have largely focused on water management and governance, with less attention to evaluation methods of ecologic, economic, and social conditions. To assist in assessing water resource sustainability, the Integrated Hydro‐Environment Assessment Tool (IHEAT) has been developed to create a framework for different disciplines and interests to engage in structured dialogue. The IHEAT builds on the considerable body of knowledge developed around IWRM and seeks to place this information into a single framework that facilitates the cogeneration of knowledge between managers, stakeholders, and the communities affected by management decisions with the understanding that there is a need to merge expert analysis with traditional knowledge and the lived experience of communities. IHEAT merges the driver‐pressure‐state‐impact‐response (DPSIR) framework, the Millennium Ecosystem Assessment's ecosystem services and human well‐being (HWB) framework, sustainability criteria for water resource systems, and water resources indexes and sets of indicators to better understand spatiotemporal interactions between hydrologic, socioeconomic, and ecologic systems and evaluate impacts of disturbances on ecological goods and services and HWB. IHEAT consists of a Conceptual Template (IHEAT‐CT) which provides a systematic framework for assessing basin conditions and guiding indicator selection as well as an Assessment Interface (IHEAT‐AI) for organizing, processing, and assessing analytical results. The IHEAT‐CT, presented herein, is a rapid screening tool that connects water use directly, or through ecosystem goods and services (EGS), to constituents of HWB. Disturbance Templates for eight pressure types, such as land‐use change, climate change, and population growth, are provided to guide practitioners regarding potential changes to landscape elements in the hydrological cycle, impacts on EGS, and societal implications on HWB. The basin screening results in a summary report card illuminating key freshwater ecosystems, the EGS they provide, and potential responses to drivers and pressures acting on the hydrologic system. This screening provides a common understanding by technical and nontechnical parties and provides the foundation for more complex conceptual models should they be required. An indicator list guides the selection of hydrologic, ecologic, economic, and social analytical methods to support IWRM technical input.
Scientific and local ecological knowledge, shaping perceptions towards protected areas and related ecosystem services
Abstract Context Most protected areas are managed based on objectives related to scientific ecological knowledge of species and ecosystems. However, a core principle of sustainability science is that understanding and including local ecological knowledge, perceptions of ecosystem service provision and landscape vulnerability will improve sustainability and resilience of social-ecological systems. Here, we take up these assumptions in the context of protected areas to provide insight on the effectiveness of nature protection goals, particularly in highly human-influenced landscapes. Objectives We examined how residents’ ecological knowledge systems, comprised of both local and scientific, mediated the relationship between their characteristics and a set of variables that represented perceptions of ecosystem services, landscape change, human-nature relationships, and impacts. Methods We administered a face-to-face survey to local residents in the Sierra de Guadarrama protected areas, Spain. We used bi- and multi-variate analysis, including partial least squares path modeling to test our hypotheses. Results Ecological knowledge systems were highly correlated and were instrumental in predicting perceptions of water-related ecosystem services, landscape change, increasing outdoors activities, and human-nature relationships. Engagement with nature, socio-demographics, trip characteristics, and a rural–urban gradient explained a high degree of variation in ecological knowledge. Bundles of perceived ecosystem services and impacts, in relation to ecological knowledge, emerged as social representation on how residents relate to, understand, and perceive landscapes. Conclusions Our findings provide insight into the interactions between ecological knowledge systems and their role in shaping perceptions of local communities about protected areas. These results are expected to inform protected area management and landscape sustainability.
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- Award ID(s):
- 1854767
- NSF-PAR ID:
- 10219821
- Date Published:
- Journal Name:
- Landscape Ecology
- Volume:
- 35
- Issue:
- 11
- ISSN:
- 0921-2973
- Page Range / eLocation ID:
- 2549 to 2567
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Abstract Zoonotic diseases represent 75% of emerging infectious diseases worldwide, and their emergence is mainly attributed to human‐driven changes in landscapes. Land use change, especially the conversion of natural areas to agricultural use, has the potential to impact hosts and vector dynamics, affecting pathogen transmission risk. While these links are becoming better understood, very few studies have investigated the opposite question—how native vegetation restoration affects zoonotic disease outbreaks.
We reviewed the existing evidence linking native vegetation restoration with zoonotic transmission risk, identified knowledge gaps, and, by focusing on tropical areas, proposed forest restoration strategies that could help in limiting the spread of zoonotic diseases.
We identified a large gap in information on the effects of native vegetation restoration on zoonotic diseases, especially within tropical regions. In addition, the few studies that exist do not consider environmental aspects that can affect the outcomes of restoration on disease risk, such as the land use history and landscape structural characteristics (as composition and configuration of native habitats). Our conceptual framework raises two important points: (1) the effects of forest restoration may depend on the context of the existing landscape, especially the percentage of native vegetation existing at the beginning of the restoration; and (2) these effects will also be dependent on the spatial arrangement of the restored area within the existing landscape. Furthermore, we propose important topics to be studied in the coming years to integrate zoonotic disease risk as a criterion in restoration planning.
Synthesis and application . Our results contribute to a more comprehensive forest restoration planning, comprising multiple ecosystem services and resulting in healthier landscapes for both people and nature. Our framework could be integrated into the post‐2020 global biodiversity framework targets.
- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1007/s10980-020-01107-4
