The 100,000 ha Sevilleta National Wildlife Refuge (SNWR) in central New Mexico lies in a transition zone that straddles several major biomes of the Southwest, including Great Basin Shrub-Steppe, Mogollon Pinon-Juniper Woodland, Great Plains Grassland and Chihuahuan Desert. During 9 years, (1990-1998), collaborating with the University of New Mexico's Long Term Ecological Research (LTER) program, 3,235 rodents (28 species in 4 families) were collected and identified from permanent collecting sites on the 3 major habitat types (grassland, desert/creosote, woodland) on the SNWR. Hosts were necropsied for endoparasites (protozoa [coccidia], helminths) and some ectoparasites. We identified and analyzed all the parasites found in these hosts. By 1998, we had in place the means to easily identify and moniter the parasites from all mammalian hosts caught on the LTER Phase II grant.This is not just another parasite survey; the data we collected was unique for several reasons: 1) This was the first complete inventory of a natural assemblage of parasites from all mammalian (rodent) hosts in 3 different communities, each from a distinctly defined geographic locality (habitat type) over the period of a decade, and beyond; 2) This study was part of a multidisciplinary approach to address conceptual issues of climate change on ecosystem structure and function at multiple scales (individuals, communities, etc) and correlative data from these related studies will strengthen and contribute to the robustness of this data set; 3) As the only parasite study on any of the LTER projects nationwide, it provided an ideal model, and perhaps incentive for parallel longterm studies of parasite communities to be examined in a variety of other habitat types, and from a variety of different perspectives, and other LTER sites in the network.Upon completing the work, we were able to use these long-term data to try to understand the dynamics of natural host-parasite assemblages. Hypotheses were then erected to test/address at least these questions: How do the different parasite communities colonize, mature, climax and senesce over time (or do they?), Do they vary in response to abiotic (climate change) and/or biotic (dispersal, colonization) factors? What temporal and spatial scales, and among what kinds of organisms, do coevolutionary processes influence the community organization of these parasites? Studies of the dynamics of multiple, coexisting species are confined primarily to microtine rodents and have hinted that multiannual cycles tend to be synchronous (Brown and Heske 1990). Are similar patterns seen for the parasites of our desert rodents? Answers to these questions relating to community structure, as well as to questions concerning parasite biodiversity on the SNWR, can be answered paritially or completely by the information we gathered on the parasite species infecting rodents collected on the SNWR. Initial emphasis of our work was on identifying all the parasites collected, by processing 8 consecutive years of parasite data, and on training the undergraduate and graduate students involved in the art of taxonomy and nomenclature of parasitic protozoans and helminths, to supply some of these answers.
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Novel Insights to Be Gained From Applying Metacommunity Theory to Long-Term, Spatially Replicated Biodiversity Data
Global loss of biodiversity and its associated ecosystem services is occurring at an alarming rate and is predicted to accelerate in the future. Metacommunity theory provides a framework to investigate multi-scale processes that drive change in biodiversity across space and time. Short-term ecological studies across space have progressed our understanding of biodiversity through a metacommunity lens, however, such snapshots in time have been limited in their ability to explain which processes, at which scales, generate observed spatial patterns. Temporal dynamics of metacommunities have been understudied, and large gaps in theory and empirical data have hindered progress in our understanding of underlying metacommunity processes that give rise to biodiversity patterns. Fortunately, we are at an important point in the history of ecology, where long-term studies with cross-scale spatial replication provide a means to gain a deeper understanding of the multiscale processes driving biodiversity patterns in time and space to inform metacommunity theory. The maturation of coordinated research and observation networks, such as the United States Long Term Ecological Research (LTER) program, provides an opportunity to advance explanation and prediction of biodiversity change with observational and experimental data at spatial and temporal scales greater than any single research group could accomplish. Synthesis of LTER network community datasets illustrates that long-term studies with spatial replication present an under-utilized resource for advancing spatio-temporal metacommunity research. We identify challenges towards synthesizing these data and present recommendations for addressing these challenges. We conclude with insights about how future monitoring efforts by coordinated research and observation networks could further the development of metacommunity theory and its applications aimed at improving conservation efforts.
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- NSF-PAR ID:
- 10231428
- Date Published:
- Journal Name:
- Frontiers in Ecology and Evolution
- Volume:
- 8
- ISSN:
- 2296-701X
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.3389/fevo.2020.612794
